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<p class="caption" role="heading"><span class="caption-text">Archives</span></p>
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<li class="toctree-l1 current"><a class="current reference internal" href="#">Archives</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="#nvidia-nsight-systems-archives">NVIDIA Nsight Systems Archives</a></li>
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<span>v2023.4 |</span>
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<a href="https://developer.nvidia.com/nsight-systems/" class="reference external">Archive</a>
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<div itemprop="articleBody">
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<section id="archives">
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<h1>Archives<a class="headerlink" href="#archives" title="Permalink to this heading"></a></h1>
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<p>Documentation for previous versions of NVIDIA Nsight Systems.</p>
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<section id="nvidia-nsight-systems-archives">
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<h2>NVIDIA Nsight Systems Archives<a class="headerlink" href="#nvidia-nsight-systems-archives" title="Permalink to this heading"></a></h2>
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<p>Below, you can find the current and past release information for NVIDIA Nsight Systems.</p>
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<p><strong>Nsight Systems Unified Documentation</strong></p>
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<ul class="simple">
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/index.html">Latest version</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2023.2/index.html">NVIDIA Nsight Systems 2023.2</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2023.1/index.html">NVIDIA Nsight Systems 2023.1</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2022.5/index.html">NVIDIA Nsight Systems 2022.5</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2022.4/index.html">NVIDIA Nsight Systems 2022.4</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2022.3/index.html">NVIDIA Nsight Systems 2022.3</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2022.2/index.html">NVIDIA Nsight Systems 2022.2</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2022.1/index.html">NVIDIA Nsight Systems 2022.1</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2021.5/index.html">NVIDIA Nsight Systems 2021.5</a></p></li>
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| 126 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2021.4/index.html">NVIDIA Nsight Systems 2021.4</a></p></li>
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| 127 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2021.3/index.html">NVIDIA Nsight Systems 2021.3</a></p></li>
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| 128 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2021.2/index.html">NVIDIA Nsight Systems 2021.2</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2021.1/index.html">NVIDIA Nsight Systems 2021.1</a></p></li>
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| 130 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2020.5/index.html">NVIDIA Nsight Systems 2020.5</a></p></li>
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| 131 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2020.4/index.html">NVIDIA Nsight Systems 2020.4</a></p></li>
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| 132 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2020.3/index.html">NVIDIA Nsight Systems 2020.3</a></p></li>
|
| 133 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2020.2/index.html">NVIDIA Nsight Systems 2020.2</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2020.1/index.html">NVIDIA Nsight Systems 2020.1</a></p></li>
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</ul>
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<p><strong>Nsight Systems for Workstation</strong></p>
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<ul class="simple">
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2019.6/index.html">NVIDIA Nsight Systems 2019.6</a></p></li>
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| 139 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2019.5/index.html">NVIDIA Nsight Systems 2019.5</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2019.4/index.html">NVIDIA Nsight Systems 2019.4</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2019.3.6/index.html">NVIDIA Nsight Systems 2019.3.6</a></p></li>
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| 142 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2019.3/index.html">NVIDIA Nsight Systems 2019.3</a></p></li>
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| 143 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2019.2/index.html">NVIDIA Nsight Systems 2019.2</a></p></li>
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| 144 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2019.1/index.html">NVIDIA Nsight Systems 2019.1</a></p></li>
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| 145 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2018.3/index.html">NVIDIA Nsight Systems 2018.3</a></p></li>
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| 146 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2018.2/index.html">NVIDIA Nsight Systems 2018.2</a></p></li>
|
| 147 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2018.1/index.html">NVIDIA Nsight Systems 2018.1</a></p></li>
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| 148 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/nsight-systems/2018.0/index.html">NVIDIA Nsight Systems 2018.0</a></p></li>
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</ul>
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| 150 |
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<p><strong>NVIDIA Nsight Systems for Embedded</strong></p>
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<ul class="simple">
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<li><p><a class="reference external" href="https://docs.nvidia.com/embedded/nsight-systems/2019.6/index.html">NVIDIA Nsight Systems 2019.6</a></p></li>
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<li><p><a class="reference external" href="https://docs.nvidia.com/embedded/nsight-systems/2019.4/index.html">NVIDIA Nsight Systems 2019.4</a></p></li>
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| 154 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/embedded/nsight-systems/2019.3/index.html">NVIDIA Nsight Systems 2019.3</a></p></li>
|
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<li><p><a class="reference external" href="https://docs.nvidia.com/embedded/nsight-systems/2018.1.3/index.html">NVIDIA Nsight Graphics 2018.1</a></p></li>
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</ul>
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| 157 |
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<p><strong>NVIDIA Nsight Systems for DRIVE</strong></p>
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<ul class="simple">
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<li><p><a class="reference external" href="https://docs.nvidia.com/drive/drive-os-5.2.6.0L/nsight-systems/index.html">NVIDIA Nsight Systems for Drive 5.2.6</a></p></li>
|
| 160 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/drive/drive_os_5.2.3.0L/nsight-systems/index.html">NVIDIA Nsight Systems for Drive 5.2.3</a></p></li>
|
| 161 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/drive/drive_os_5.2.0.0L/nsight-systems/index.html">NVIDIA Nsight Systems for Drive 5.2.0</a></p></li>
|
| 162 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/drive/drive_os_5.1.15.0L/nsight-systems/index.html">NVIDIA Nsight Systems for Drive 5.1.15</a></p></li>
|
| 163 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/drive/drive_os_5.1.12.0L/nsight-systems/index.html">NVIDIA Nsight Systems for Drive 5.1.12</a></p></li>
|
| 164 |
+
<li><p><a class="reference external" href="https://docs.nvidia.com/drive/drive_os_5.1.9.0L/nsight-systems/index.html">NVIDIA Nsight Systems for Drive 5.1.9</a></p></li>
|
| 165 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/drive/active/5.1.6.0L/nsight_systems/index.html">NVIDIA Nsight Systems for Drive 5.1.6</a></p></li>
|
| 166 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/drive/active/5.1.3.0L/nsight_systems/index.html">NVIDIA Nsight Systems for Drive 5.1.3</a></p></li>
|
| 167 |
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<li><p><a class="reference external" href="https://docs.nvidia.com/drive/active/5.0.13.0L/devtools/nsight-systems/2018.1/index.html">NVIDIA Nsight Systems for Drive 5.0.13</a></p></li>
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| 168 |
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</ul>
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</section>
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</section>
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<p>© Copyright 2018-2023, NVIDIA Corporation & Affiliates. All rights reserved.
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<span class="lastupdated">Last updated on Dec 20, 2023.
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<li class="toctree-l3"><a class="reference internal" href="#requirements-for-x86-64-power-and-arm-sbsa-targets-on-linux">Requirements for x86_64, Power, and Arm SBSA Targets on Linux</a></li>
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<li class="toctree-l3"><a class="reference internal" href="#optional-setting-up-the-cli">Optional: Setting up the CLI</a></li>
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<span>v2023.4 |</span>
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<a href="https://developer.nvidia.com/nsight-systems/" class="reference external">Archive</a>
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<span> </span>
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<hr/>
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</div>
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<div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
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<div itemprop="articleBody">
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<section id="installation-guide">
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<h1>Installation Guide<a class="headerlink" href="#installation-guide" title="Permalink to this heading"></a></h1>
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<p>NVIDIA Nsight Systems installation guide.</p>
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<section id="overview">
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<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this heading"></a></h2>
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<p>Nsight Systems is a statistical sampling profiler with tracing features. It is designed to work with devices and devkits based on NVIDIA Tegra SoCs (system-on-chip), Arm SBSA (server based system architecture) systems, IBM Power systems, and systems based on the x86_64 processor architecture that also include NVIDIA GPU(s).</p>
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<p>Throughout this document we will refer to the device on which profiling happens as the <strong>target</strong>, and the computer on which the user works and controls the profiling session as the <strong>host</strong>. Note that for x86_64 based systems these may be on the same device, whereas with Tegra, Arm, or IBM Power based systems they will always be separate.</p>
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<p>Furthermore, three different activities are distinguished as follows:</p>
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<ul class="simple">
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<li><p><strong>Profiling</strong> — The process of collecting any performance data. A profiling session in Nsight Systems typically includes sampling and tracing.</p></li>
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<li><p><strong>Sampling</strong> — The process of periodically stopping the <em>profilee</em> (the application under investigation during the profiling session), typically to collect backtraces (call stacks of active threads), which allows you to understand statistically how much time is spent in each function. Additionally, hardware counters can also be sampled. This process is inherently imprecise when a low number of samples have been collected.</p></li>
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<li><p><strong>Tracing</strong> — The process of collecting precise information about various activities happening in the profilee or in the system. For example, profilee API execution may be traced providing the exact time and duration of a function call.</p></li>
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</ul>
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<p>Nsight Systems supports multiple generations of Tegra SoCs, NVIDIA discrete GPUs, and various CPU architectures, as well as various target and host operating systems. This documentation describes the full set of features available in any version of Nsight Systems. In the event that a feature is not available in all versions, that will be noted in the text. In general, Nsight Systems Embedded Platforms Edition indicates the package that supports Tegra processors for the embedded and automotive market and Nsight Systems Workstation Edition supports x86_64, IBM Power, and Arm server (SBSA) processors for the workstation and cluster market.</p>
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<p>Common features that are supported by Nsight Systems on most platforms include the following:</p>
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<ul class="simple">
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<li><p>Sampling of the profilee and collecting backtraces using multiple algorithms (such as frame pointers or DWARF data). Building top-down, bottom-up, and flat views as appropriate. This information helps identify performance bottlenecks in CPU-intensive code.</p></li>
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<li><p>Sampling or tracing system power behaviors, such as CPU frequency.</p></li>
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<li><p>(Only on Nsight Systems Embedded Platforms Edition)Sampling counters from Arm PMU (Performance Monitoring Unit). Information such as cache misses gets statistically correlated with function execution.</p></li>
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<li><p>Support for multiple windows. Users with multiple monitors can see multiple reports simultaneously, or have multiple views into the same report file.</p></li>
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</ul>
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<p>With Nsight Systems, a user could:</p>
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<ul class="simple">
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<li><p>Identify call paths that monopolize the CPU.</p></li>
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<li><p>Identify individual functions that monopolize the CPU (across different call paths).</p></li>
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<li><p>For Nsight Systems Embedded Platforms Edition, identify functions that have poor cache utilization.</p></li>
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<li><p>If platform supports CUDA, see visual representation of CUDA Runtime and Driver API calls, as well as CUDA GPU workload. Nsight Systems uses the CUDA Profiling Tools Interface (CUPTI), for more information, see: <a class="reference external" href="https://docs.nvidia.com/cuda/cupti/index.html">CUPTI documentation</a>.</p></li>
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<li><p>If the user annotates with NVIDIA Tools Extension (NVTX), see visual representation of NVTX annotations: ranges, markers, and thread names.</p></li>
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<li><p>For Windows targets, see visual representation of D3D12: which API calls are being made on the CPU, graphic frames, stutter analysis, as well as GPU workloads (command lists and debug ranges).</p></li>
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<li><p>For x86_64 targets, see visual representation of Vulkan: which API calls are being made on the CPU, graphic frames, stutter analysis, as well as Vulkan GPU workloads (command buffers and debug ranges).</p></li>
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</ul>
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</section>
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<section id="system-requirements">
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<h2>System Requirements<a class="headerlink" href="#system-requirements" title="Permalink to this heading"></a></h2>
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<p>Nsight Systems supports multiple platforms. For simplicity, think of these as Nsight Systems Embedded Platforms Edition and Nsight Systems Workstation Edition, where Nsight Systems Workstation Edition supports desktops, workstations, and clusters with x86_64, IBM Power, and Arm SBSA CPUs on Linux and Windows OSs, while Nsight Systems Embedded Platforms Edition supports NVIDIA Tegra products for the embedded and gaming space on Linux for Tegra and QNX OSs.</p>
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<section id="supported-platforms">
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<h3>Supported Platforms<a class="headerlink" href="#supported-platforms" title="Permalink to this heading"></a></h3>
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<p>Depending on your OS, different GPUs are supported</p>
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<p>L4T (Linux for Tegra)</p>
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<ul class="simple">
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<li><p>Jetson AGX Xavier</p></li>
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<li><p>Jetson TX2</p></li>
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<li><p>Jetson TX2i</p></li>
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<li><p>Jetson TX</p></li>
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<li><p>Jetson Nano</p></li>
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<li><p>Jetson Xavier NX</p></li>
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</ul>
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<p>x86_64, IBM Power (from Power 9), or Arm SBSA</p>
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<ul class="simple">
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<li><p>NVIDIA GPU architectures starting with Pascal</p></li>
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<li><p>OS (64 bit only)</p>
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<ul>
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<li><p>Ubuntu 18.04, 20.04, and 22.04</p></li>
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<li><p>CentOS and RedHat Enterprise Linux 7.4+ with kernel version 3.10.0-693 or later.</p></li>
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<li><p>Windows 10, 11, and Win Server 2022</p></li>
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</ul>
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</li>
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</ul>
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</section>
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<section id="cuda-version">
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<h3>CUDA Version<a class="headerlink" href="#cuda-version" title="Permalink to this heading"></a></h3>
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<ul class="simple">
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<li><p>Nsight Systems supports CUDA 10.0, 10.1, 10.2, and 11.X for most platforms</p></li>
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<li><p>Nsight Systems on Arm SBSA supports 10.2 and 11.X</p></li>
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</ul>
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<p>Note that CUDA version and driver version must be compatible.</p>
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<table class="table-no-stripes docutils align-default">
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<thead>
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<tr class="row-odd"><th class="head"><p>CUDA Version</p></th>
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<th class="head"><p>Driver minimum version</p></th>
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</tr>
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</thead>
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<tbody>
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<tr class="row-even"><td><p>11.0</p></td>
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<td><p>450</p></td>
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</tr>
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<tr class="row-odd"><td><p>10.2</p></td>
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<td><p>440.30</p></td>
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</tr>
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<tr class="row-even"><td><p>10.1</p></td>
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<td><p>418.39</p></td>
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</tr>
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<tr class="row-odd"><td><p>10.0</p></td>
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<td><p>410.48</p></td>
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</tr>
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</tbody>
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</table>
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<p>From CUDA 11.X on, any driver from 450 on will be supported, although new features introduced in more recent drivers will not be available.</p>
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<p>For information about which drivers were specifically released with each toolkit, see <a class="reference external" href="https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#cuda-major-component-versions">CUDA Toolkit Release Notes - Major Component Versions</a></p>
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</section>
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<section id="requirements-for-x86-64-power-and-arm-sbsa-targets-on-linux">
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<h3>Requirements for x86_64, Power, and Arm SBSA Targets on Linux<a class="headerlink" href="#requirements-for-x86-64-power-and-arm-sbsa-targets-on-linux" title="Permalink to this heading"></a></h3>
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<p>When attaching to x86_64, Power, or Arm SBSA Linux-based target from the GUI on the host, the connection is established through SSH.</p>
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<p><strong>Use of Linux Perf</strong>: To collect thread scheduling data and IP (instruction pointer) samples, the Linux operating system’s perf_event_paranoid level must be 2 or less. Use the following command to check:</p>
|
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<blockquote>
|
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<div><div class="highlight-text notranslate"><div class="highlight"><pre><span></span>cat /proc/sys/kernel/perf_event_paranoid
|
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</pre></div>
|
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</div>
|
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</div></blockquote>
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<p>If the output is >2, then do the following to temporarily adjust the paranoid level (note that this has to be done after each reboot):</p>
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<blockquote>
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<div><div class="highlight-text notranslate"><div class="highlight"><pre><span></span>sudo sh -c 'echo 2 >/proc/sys/kernel/perf_event_paranoid'
|
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</pre></div>
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</div>
|
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</div></blockquote>
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<p>To make the change permanent, use the following command:</p>
|
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<blockquote>
|
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<div><div class="highlight-text notranslate"><div class="highlight"><pre><span></span>sudo sh -c 'echo kernel.perf_event_paranoid=2 > /etc/sysctl.d/local.conf'
|
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</pre></div>
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</div>
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</div></blockquote>
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<p><strong>Kernel version</strong>: To collect thread scheduling data and IP (instruction pointer) samples and backtraces, the kernel version must be:</p>
|
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<ul class="simple">
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<li><p>3.10.0-693 or later for CentOS and RedHat Enterprise Linux 7.4+</p></li>
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+
<li><p>4.3 or greater for all other distros including Ubuntu</p></li>
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</ul>
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<p>To check the version number of the kernel on a target device, run the following command on the device:</p>
|
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<blockquote>
|
| 244 |
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<div><div class="highlight-text notranslate"><div class="highlight"><pre><span></span>uname -a
|
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</pre></div>
|
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+
</div>
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</div></blockquote>
|
| 248 |
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<p>Note that only CentOS, RedHat, and Ubuntu distros are tested/confirmed to work correctly.</p>
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<p><strong>glibc version</strong>: To check the glibc version on a target device, run the following command:</p>
|
| 250 |
+
<blockquote>
|
| 251 |
+
<div><div class="highlight-text notranslate"><div class="highlight"><pre><span></span>ldd --version
|
| 252 |
+
</pre></div>
|
| 253 |
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</div>
|
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</div></blockquote>
|
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<p>Nsight Systems requires glibc 2.17 or more recent.</p>
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+
<p><strong>CUDA</strong>: See above for supported CUDA versions in this release. Use the deviceQuery command to determine the CUDA driver and runtime versions on the system. the deviceQuery command is available in the CUDA SDK. It is normally installed at:</p>
|
| 257 |
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<blockquote>
|
| 258 |
+
<div><div class="highlight-text notranslate"><div class="highlight"><pre><span></span>/usr/local/cuda/samples/1_Utilities/deviceQuery
|
| 259 |
+
</pre></div>
|
| 260 |
+
</div>
|
| 261 |
+
</div></blockquote>
|
| 262 |
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<p>Only pure 64-bit environments are supported. In other words, 32-bit systems or 32-bit processes running within a 64-bit environment are not supported.</p>
|
| 263 |
+
<p>Nsight Systems requires write permission to the <code class="docutils literal notranslate"><span class="pre">/var/lock</span></code> directory on the target system.</p>
|
| 264 |
+
<p><strong>Docker</strong>: See Collecting Data within a Docker section of the User Guide for more information.</p>
|
| 265 |
+
</section>
|
| 266 |
+
<section id="x86-64-windows-target-device-requirements">
|
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+
<h3>x86_64 Windows Target Device Requirements<a class="headerlink" href="#x86-64-windows-target-device-requirements" title="Permalink to this heading"></a></h3>
|
| 268 |
+
<p><strong>DX12 Requires</strong>:</p>
|
| 269 |
+
<ul class="simple">
|
| 270 |
+
<li><p>Windows 10 with NVIDIA Driver 411.63 or higher for DX12 trace</p></li>
|
| 271 |
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<li><p>Windows 10 April 2018 Update (version 1803, AKA Redstone 4) with NVIDIA Driver 411.63 or higher for DirectX Ray Tracing, and tracing DX12 Copy command queues.</p></li>
|
| 272 |
+
</ul>
|
| 273 |
+
</section>
|
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+
<section id="host-application-requirements">
|
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+
<h3>Host Application Requirements<a class="headerlink" href="#host-application-requirements" title="Permalink to this heading"></a></h3>
|
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+
<p>The Nsight Systems host application runs on the following host platforms:</p>
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<ul class="simple">
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+
<li><p>Windows 10, Windows Server 2019. Only 64-bit versions are supported.</p></li>
|
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+
<li><p>Linux Ubuntu 14.04 and higher are known to work, running on other modern distributions should be possible as well. Only 64-bit versions are supported.</p></li>
|
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+
<li><p>OS X 10.10 “Yosemite” and higher.</p></li>
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+
</ul>
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</section>
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</section>
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<section id="getting-started-guide">
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<h2>Getting Started Guide<a class="headerlink" href="#getting-started-guide" title="Permalink to this heading"></a></h2>
|
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+
<section id="finding-the-right-package">
|
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+
<h3>Finding the Right Package<a class="headerlink" href="#finding-the-right-package" title="Permalink to this heading"></a></h3>
|
| 288 |
+
<p>Nsight Systems is available for multiple targets and multiple host OSs. To choose the right package, first consider the target system to be analyzed.</p>
|
| 289 |
+
<ul class="simple">
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| 290 |
+
<li><p>For Tegra target systems, select Nsight Systems Embedded Platforms Edition available as part of <a class="reference external" href="https://developer.nvidia.com/embedded/jetpack">NVIDIA JetPack SDK</a>.</p></li>
|
| 291 |
+
<li><p>For x86_64, IBM Power target systems, or Arm SBSA select from the target packages from Nsight Systems Workstation Edition, available from <a class="reference external" href="https://developer.nvidia.com/nsight-systems">https://developer.nvidia.com/nsight-systems</a>. This web release will always contain the latest and greatest Nsight Systems features.</p></li>
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| 292 |
+
<li><p>The x86_64, IBM Power, and Arm SBSA target versions of Nsight Systems are also available in the <a class="reference external" href="https://developer.nvidia.com/cuda-downloads">CUDA Toolkit.</a></p></li>
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| 293 |
+
</ul>
|
| 294 |
+
<p>Each package is limited to one architecture. For example, Tegra packages do not contain support for profiling x86 targets, and x86 packages do not contain support for profiling Tegra targets.</p>
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| 295 |
+
<p>After choosing an appropriate target version, select the package corresponding to the host OS, the OS on the system where results will be viewed. These packages are in the form of common installer types: .msi for Windows; .run, .rpm, and .deb for x86 Linux; .deb and .rpm for Linux on IBM Power; and .dmg for the macOS installer.</p>
|
| 296 |
+
<p>Note: the IBM Power and Arm SBSA packages do not have a GUI for visualization of the result. If you wish to visualize your result, please download and install the GUI available for macOS, x86_64 Linux, or Windows systems.</p>
|
| 297 |
+
<p><strong>Tegra packages</strong></p>
|
| 298 |
+
<ul class="simple">
|
| 299 |
+
<li><p>Windows host - Install .msi on Windows machine. Enables remote access to Tegra device for profiling.</p></li>
|
| 300 |
+
<li><p>Linux host - Install .run on Linux system. Enables remote access to Tegra device for profiling.</p></li>
|
| 301 |
+
<li><p>macOS host - Install .dmg on macOS machine. Enables remote access to Tegra device for profiling.</p></li>
|
| 302 |
+
</ul>
|
| 303 |
+
<p><strong>x86_64 packages</strong></p>
|
| 304 |
+
<ul class="simple">
|
| 305 |
+
<li><p>Windows host - Install .msi on Windows machine. Enables remote access to Linux x86_64 or Windows devices for profiling as well as running on local system.</p></li>
|
| 306 |
+
<li><p>Linux host - Install .run, .rpm, or .deb on Linux system. Enables remote access to Linux x86_64 or Windows devices for profiling or running collection on localhost.</p></li>
|
| 307 |
+
<li><p>Linux CLI only - The Linux CLI is shipped in all x86 packages, but if you just want the CLI, we have a package for that. Install .deb on Linux system. Enables only CLI collection, report can be imported or opened in x86_64 host.</p></li>
|
| 308 |
+
<li><p>macOS host - Install .dmg on macOS machine. Enables remote access to Linux x86_64 device for profiling.</p></li>
|
| 309 |
+
</ul>
|
| 310 |
+
<p><strong>IBM Power packages</strong></p>
|
| 311 |
+
<ul class="simple">
|
| 312 |
+
<li><p>Power CLI only - The IBM Power support does not include a host GUI. Install .deb or .rpm on your Power system. Enables only CLI collection, report can be imported or opened in GUI on any supported host platform.</p></li>
|
| 313 |
+
</ul>
|
| 314 |
+
<p><strong>Arm SBSA packages</strong></p>
|
| 315 |
+
<ul class="simple">
|
| 316 |
+
<li><p>Arm SBSA CLI only - Arm SBSA support does not include a host GUI. Install .deb or .rpm on your Arm SBSA system. Enables only CLI collection, report can be imported or opened in GUI on any supported host platform.</p></li>
|
| 317 |
+
</ul>
|
| 318 |
+
</section>
|
| 319 |
+
<section id="installing-gui-on-the-host-system">
|
| 320 |
+
<h3>Installing GUI on the Host System<a class="headerlink" href="#installing-gui-on-the-host-system" title="Permalink to this heading"></a></h3>
|
| 321 |
+
<p>Copy the appropriate file to your host system in a directory where you have write and execute permissions. Run the install file, accept the EULA, and Nsight Systems will install on your system.</p>
|
| 322 |
+
<p>On Linux, there are special options to enable automated installation. Running the installer with the <code class="docutils literal notranslate"><span class="pre">--accept</span></code> flag will automatically accept the EULA, running with the <code class="docutils literal notranslate"><span class="pre">--accept</span></code> flag and the <code class="docutils literal notranslate"><span class="pre">--quiet</span></code> flag will automatically accept the EULA without printing to stdout. Running with <code class="docutils literal notranslate"><span class="pre">--quiet</span></code> without <code class="docutils literal notranslate"><span class="pre">--accept</span></code> will display an error.</p>
|
| 323 |
+
<p>The installation will create a Host directory for this host and a Target directory for each target this Nsight Systems package supports.</p>
|
| 324 |
+
<p>All binaries needed to collect data on a target device will be installed on the target by the host on first connection to the device. There is no need to install the package on the target device.</p>
|
| 325 |
+
<p>If installing from the CUDA Toolkit, see the <a class="reference external" href="https://docs.nvidia.com/cuda/">CUDA Toolkit documentation</a>.</p>
|
| 326 |
+
</section>
|
| 327 |
+
<section id="optional-setting-up-the-cli">
|
| 328 |
+
<h3>Optional: Setting up the CLI<a class="headerlink" href="#optional-setting-up-the-cli" title="Permalink to this heading"></a></h3>
|
| 329 |
+
<p>All Nsight Systems targets can be profiled using the CLI. IBM Power and Arm SBSA targets can only be profiled using the CLI. The CLI is especially helpful when scripts are used to run unattended collections or when access to the target system via ssh is not possible. In particular, this can be used to enable collection in a Docker container.</p>
|
| 330 |
+
<p>The CLI can be found in the Target directory of the Nsight Systems installation. Users who want to install the CLI as a standalone tool can do so by copying the files within the Target directory to the location of their choice.</p>
|
| 331 |
+
<p>If you wish to run the CLI without root (recommended mode) you will want to install in a directory where you have full access.</p>
|
| 332 |
+
<p>Once you have the CLI set up, you can use the <code class="docutils literal notranslate"><span class="pre">nsys</span> <span class="pre">status</span> <span class="pre">-e</span></code> command to check your environment.</p>
|
| 333 |
+
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="o">~</span><span class="n">$</span><span class="w"> </span><span class="n">nsys</span><span class="w"> </span><span class="n">status</span><span class="w"> </span><span class="o">-</span><span class="n">e</span><span class="w"></span>
|
| 334 |
+
|
| 335 |
+
<span class="n">Sampling</span><span class="w"> </span><span class="n">Environment</span><span class="w"> </span><span class="n">Check</span><span class="w"></span>
|
| 336 |
+
<span class="n">Linux</span><span class="w"> </span><span class="n">Kernel</span><span class="w"> </span><span class="n">Paranoid</span><span class="w"> </span><span class="n">Level</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span><span class="o">:</span><span class="w"> </span><span class="n">OK</span><span class="w"></span>
|
| 337 |
+
<span class="n">Linux</span><span class="w"> </span><span class="n">Distribution</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">Ubuntu</span><span class="w"></span>
|
| 338 |
+
<span class="n">Linux</span><span class="w"> </span><span class="n">Kernel</span><span class="w"> </span><span class="n">Version</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mf">4.15.0</span><span class="mi">-109</span><span class="o">-</span><span class="n">generic</span><span class="o">:</span><span class="w"> </span><span class="n">OK</span><span class="w"></span>
|
| 339 |
+
<span class="n">Linux</span><span class="w"> </span><span class="n">perf_event_open</span><span class="w"> </span><span class="n">syscall</span><span class="w"> </span><span class="n">available</span><span class="o">:</span><span class="w"> </span><span class="n">OK</span><span class="w"></span>
|
| 340 |
+
<span class="n">Sampling</span><span class="w"> </span><span class="n">trigger</span><span class="w"> </span><span class="n">event</span><span class="w"> </span><span class="n">available</span><span class="o">:</span><span class="w"> </span><span class="n">OK</span><span class="w"></span>
|
| 341 |
+
<span class="n">Intel</span><span class="p">(</span><span class="n">c</span><span class="p">)</span><span class="w"> </span><span class="n">Last</span><span class="w"> </span><span class="n">Branch</span><span class="w"> </span><span class="n">Record</span><span class="w"> </span><span class="n">support</span><span class="o">:</span><span class="w"> </span><span class="n">Available</span><span class="w"></span>
|
| 342 |
+
<span class="n">Sampling</span><span class="w"> </span><span class="n">Environment</span><span class="o">:</span><span class="w"> </span><span class="n">OK</span><span class="w"></span>
|
| 343 |
+
</pre></div>
|
| 344 |
+
</div>
|
| 345 |
+
<p>This status check allows you to ensure that the system requirements for CPU sampling using Nsight Systems are met in your local environment. If the Sampling Environment is not OK, you will still be able to run various trace operations.</p>
|
| 346 |
+
<p>Intel(c) Last Branch Record allows tools, including Nsight Systems to use hardware to quickly get limited stack information. Nsight Systems will use this method for stack resolution by default if available.</p>
|
| 347 |
+
<p>For information about changing these environment settings, see System Requirements section in the Installation Guide. For information about changing the backtrace method, see Profiling from the CLI in the User Guide.</p>
|
| 348 |
+
<p>To get started using the CLI, run <code class="docutils literal notranslate"><span class="pre">nsys</span> <span class="pre">--help</span></code> for a list of options or see Profiling Applications from the CLI in the User Guide for full documentation.</p>
|
| 349 |
+
</section>
|
| 350 |
+
<section id="launching-the-gui">
|
| 351 |
+
<h3>Launching the GUI<a class="headerlink" href="#launching-the-gui" title="Permalink to this heading"></a></h3>
|
| 352 |
+
<p>Depending on your OS, Nsight Systems will have installed an icon on your host desktop that you can use to launch the GUI. To launch the GUI directly, run the <code class="docutils literal notranslate"><span class="pre">nsys-ui</span></code> executable in the Host sub-directory of your installation.</p>
|
| 353 |
+
</section>
|
| 354 |
+
<section id="installing-multi-report-analysis-system">
|
| 355 |
+
<h3>Installing Multi Report Analysis System<a class="headerlink" href="#installing-multi-report-analysis-system" title="Permalink to this heading"></a></h3>
|
| 356 |
+
<p><strong>PREVIEW FEATURE</strong></p>
|
| 357 |
+
<p>The Nsight Systems multi-report analysis system can be located in the <code class="docutils literal notranslate"><span class="pre"><install-dir>/target-linux-x64/python/packages</span></code> directory. For this initial preview release, multi-node analysis is only available to run recipes on Linux targets, and only available to visualize on Linux or Windows hosts.</p>
|
| 358 |
+
<p><strong>Recipe Dependencies</strong></p>
|
| 359 |
+
<p>The system is written in Python and depends on a set of Python packages. The prerequisites are Python 3.6 or newer with pip and venv. If you don’t have Python, you can install it from python.org or your Linux package manager.</p>
|
| 360 |
+
<p><strong>Pip/venv on Ubuntu</strong></p>
|
| 361 |
+
<p>If pip/venv were not installed with Python, run:</p>
|
| 362 |
+
<div class="highlight-text notranslate"><div class="highlight"><pre><span></span>$ sudo apt-get install python3-pip
|
| 363 |
+
$ sudo apt-get install python3-venv
|
| 364 |
+
</pre></div>
|
| 365 |
+
</div>
|
| 366 |
+
<p>On a fresh Ubuntu install, we will need to run the following before the above commands:</p>
|
| 367 |
+
<div class="highlight-text notranslate"><div class="highlight"><pre><span></span>$ sudo apt-get update
|
| 368 |
+
</pre></div>
|
| 369 |
+
</div>
|
| 370 |
+
<p>The dependent packages can either be installed automatically by an automated script or manually.</p>
|
| 371 |
+
<p><strong>Automated script</strong></p>
|
| 372 |
+
<p>The <code class="docutils literal notranslate"><span class="pre"><install-dir>/target-linux-x64/python/packages/nsys_recipe/install.py</span></code> script automates the installation of the recipe dependencies. You must select either the <code class="docutils literal notranslate"><span class="pre">--current</span></code> or <code class="docutils literal notranslate"><span class="pre">--venv</span> <span class="pre">PATH</span></code> option when you run the script.</p>
|
| 373 |
+
<p>Options:</p>
|
| 374 |
+
<ul class="simple">
|
| 375 |
+
<li><p><code class="docutils literal notranslate"><span class="pre">-h</span></code>: Display help</p></li>
|
| 376 |
+
<li><p><code class="docutils literal notranslate"><span class="pre">--current</span></code>: Install packages in the current environment. If a venv is active, packages will be installed there. Otherwise, packages will be installed in the system site-packages directory. It enables usage of <code class="docutils literal notranslate"><span class="pre">nsys</span> <span class="pre">recipe</span></code> without having to source a virtual environment. However, new packages risk colliding with existing ones if different versions are required.</p></li>
|
| 377 |
+
<li><p><code class="docutils literal notranslate"><span class="pre">--venv</span> <span class="pre">PATH</span></code>: Install packages in a virtual environment. If it doesn’t already exist, it is created. It prevents risk of package collision in the current environment but requires the virtual environment to be activated before running <code class="docutils literal notranslate"><span class="pre">nsys</span> <span class="pre">recipe</span></code>.</p></li>
|
| 378 |
+
<li><p><code class="docutils literal notranslate"><span class="pre">--tar</span></code>: download wheel packages online and tar them</p></li>
|
| 379 |
+
<li><p><code class="docutils literal notranslate"><span class="pre">--untar</span></code>: untar the wheel packages and install</p></li>
|
| 380 |
+
<li><p><code class="docutils literal notranslate"><span class="pre">--python</span></code>: change the python executable (default is python3)</p></li>
|
| 381 |
+
<li><p><code class="docutils literal notranslate"><span class="pre">--no-jupyter</span></code>: do not install requirements for the jupyter notebook</p></li>
|
| 382 |
+
<li><p><code class="docutils literal notranslate"><span class="pre">--no-dask</span></code>: do not install requirements for Dask</p></li>
|
| 383 |
+
</ul>
|
| 384 |
+
<p>If <code class="docutils literal notranslate"><span class="pre">--tar</span></code> or <code class="docutils literal notranslate"><span class="pre">--untar</span></code> option wasn’t specified, the script will directly download the pip packages from the internet.</p>
|
| 385 |
+
<p><strong>Manual steps</strong></p>
|
| 386 |
+
<p>If you would rather install the dependencies manually, please follow the following steps:</p>
|
| 387 |
+
<ul>
|
| 388 |
+
<li><p>Create a virtual environment</p>
|
| 389 |
+
<p>We recommend creating a virtual environment to avoid installing packages directly into your system Python. The commands create the virtual environment in the current working directory.</p>
|
| 390 |
+
<p>See <a class="reference external" href="https://docs.python.org/3/library/venv.html">venv - python doc</a></p>
|
| 391 |
+
<p>To create a venv named recipe_env:</p>
|
| 392 |
+
<div class="highlight-text notranslate"><div class="highlight"><pre><span></span>$ python3 -m venv recipe_env
|
| 393 |
+
$ source recipe_env/bin/activate
|
| 394 |
+
</pre></div>
|
| 395 |
+
</div>
|
| 396 |
+
</li>
|
| 397 |
+
<li><p>List of dependencies</p>
|
| 398 |
+
<p>We have three files located in <code class="docutils literal notranslate"><span class="pre"><install-dir>/target-linux-x64/python/packages/nsys_recipe/requirements</span></code> for the dependencies:</p>
|
| 399 |
+
<ul class="simple">
|
| 400 |
+
<li><p>Common.txt (required): dependencies needed by all recipes</p></li>
|
| 401 |
+
<li><p>Dask.txt (optional): dependencies needed by the Dask mode</p></li>
|
| 402 |
+
<li><p>Jupyter.txt (optional): dependencies needed to open the Jupyter notebook</p></li>
|
| 403 |
+
</ul>
|
| 404 |
+
</li>
|
| 405 |
+
</ul>
|
| 406 |
+
<p><strong>One-step installation</strong></p>
|
| 407 |
+
<p>The following command will install all dependencies for CLI and GUI. Please note that you will want to activate your venv first as described above, otherwise the modules will not be available in the venv.</p>
|
| 408 |
+
<div class="highlight-text notranslate"><div class="highlight"><pre><span></span>$ python3 -m pip install -r nsys_recipe/requirements/dask.txt -r nsys_recipe/requirements/common.txt -r nsys_recipe/requirements/jupyter.txt
|
| 409 |
+
</pre></div>
|
| 410 |
+
</div>
|
| 411 |
+
<p><strong>Two-step installation (for machines without internet)</strong></p>
|
| 412 |
+
<p>If you wish to download the dependencies on a machine without internet, you can download the wheel packages on a machine with internet, transfer them to the target machine and install the packages there.</p>
|
| 413 |
+
<p>On the machine with internet:</p>
|
| 414 |
+
<div class="highlight-text notranslate"><div class="highlight"><pre><span></span>$ python3 -m pip download -r nsys_recipe/requirements/dask.txt -r nsys_recipe/requirements/common.txt -r nsys_recipe/requirements/jupyter.txt -d “recipe-deps”
|
| 415 |
+
$ tar -cvfz recipe-deps.tar.gz recipe-deps
|
| 416 |
+
</pre></div>
|
| 417 |
+
</div>
|
| 418 |
+
<p>On the machine with no internet:</p>
|
| 419 |
+
<div class="highlight-text notranslate"><div class="highlight"><pre><span></span>$ tar -xvfz recipe-deps.tar.gz
|
| 420 |
+
$ python3 -m pip install recipe-deps/* --no-index
|
| 421 |
+
</pre></div>
|
| 422 |
+
</div>
|
| 423 |
+
<p><strong>Jupyter Notebook</strong></p>
|
| 424 |
+
<p>The Nsight Systems UI has the ability to internally load a Jupyter notebook. It uses the Jupyter notebook installation associated with the Python on your $PATH, which is expected to be the Python installed into the virtual environment created in the earlier steps of this guide.</p>
|
| 425 |
+
<p>If Jupyter is installed in a different location, you can add a third variable to the config.ini file that will override the default path to Jupyter:</p>
|
| 426 |
+
<div class="highlight-text notranslate"><div class="highlight"><pre><span></span>JupyterPythonExe=“/path/to/recipe_env/bin/python”
|
| 427 |
+
</pre></div>
|
| 428 |
+
</div>
|
| 429 |
+
<p>This config.ini file should be placed in <code class="docutils literal notranslate"><span class="pre"><install_dir>/host-linux-x64</span></code></p>
|
| 430 |
+
<p>Note that on Windows, the path should use Windows slashes and they must be double slashes:</p>
|
| 431 |
+
<div class="highlight-text notranslate"><div class="highlight"><pre><span></span>JupyterPythonExe=“c:\\path\\to\\recipe_env\\bin\\python.exe”
|
| 432 |
+
</pre></div>
|
| 433 |
+
</div>
|
| 434 |
+
</section>
|
| 435 |
+
</section>
|
| 436 |
+
</section>
|
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+
|
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+
|
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+
</div>
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</div>
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<footer>
|
| 442 |
+
|
| 443 |
+
<hr/>
|
| 444 |
+
|
| 445 |
+
<div role="contentinfo">
|
| 446 |
+
<p>© Copyright 2018-2023, NVIDIA Corporation & Affiliates. All rights reserved.
|
| 447 |
+
<span class="lastupdated">Last updated on Dec 20, 2023.
|
| 448 |
+
</span></p>
|
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</div>
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</section>
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</div>
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<script>
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jQuery(function () {
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SphinxRtdTheme.Navigation.enable(true);
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});
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</body>
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</html>
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cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/documentation/ReleaseNotes/index.html
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<a href="https://developer.nvidia.com/nsight-systems/" class="reference external">Archive</a>
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+
<section id="release-notes">
|
| 119 |
+
<h1>Release Notes<a class="headerlink" href="#release-notes" title="Permalink to this heading"></a></h1>
|
| 120 |
+
<p>Release notes and known issues.</p>
|
| 121 |
+
<section id="what-s-new">
|
| 122 |
+
<h2>What’s New<a class="headerlink" href="#what-s-new" title="Permalink to this heading"></a></h2>
|
| 123 |
+
<ul class="simple">
|
| 124 |
+
<li><p>Additional MPI communicator creation APIs</p></li>
|
| 125 |
+
<li><p>Option to trace the Python Global Interpretter Lock (GIL)</p></li>
|
| 126 |
+
<li><p>Unified Memory CPU and GPU page fault information now available for Arm</p></li>
|
| 127 |
+
<li><p>BETA: NVIDIA Infiniband switch congestion events (requires Quantum2 and
|
| 128 |
+
firmware version 31.2012.1068 or higher)</p></li>
|
| 129 |
+
<li><p>Multi-node analysis now supports Mac, Windows x64, Linux Arm Servers</p></li>
|
| 130 |
+
<li><p>Recipe enhancements for NCCL, heatmaps, differencing</p></li>
|
| 131 |
+
<li><p>CLI improvements - Add option <code class="docutils literal notranslate"><span class="pre">-n</span></code> to <code class="docutils literal notranslate"><span class="pre">nsys</span> <span class="pre">status</span></code> command to provide
|
| 132 |
+
information about availability of network counters in the users environment.</p></li>
|
| 133 |
+
<li><p>NVIDIA Grace PMU uncore counter sampling</p></li>
|
| 134 |
+
<li><p>Windows GPU resource trace enhancements for allocations, migrations,
|
| 135 |
+
Direct3D, & Vulkan</p></li>
|
| 136 |
+
<li><p>UX and performance improvements</p></li>
|
| 137 |
+
</ul>
|
| 138 |
+
</section>
|
| 139 |
+
<section id="known-issues">
|
| 140 |
+
<h2>Known Issues<a class="headerlink" href="#known-issues" title="Permalink to this heading"></a></h2>
|
| 141 |
+
<section id="general-issues">
|
| 142 |
+
<h3>General Issues<a class="headerlink" href="#general-issues" title="Permalink to this heading"></a></h3>
|
| 143 |
+
<ul>
|
| 144 |
+
<li><p>The current release of Nsight Systems CLI doesn’t support naming a session
|
| 145 |
+
with a name longer than 127 characters. Profiling an executable with a name
|
| 146 |
+
exceeding 111 characters is also unsupported by the <code class="docutils literal notranslate"><span class="pre">nsys</span> <span class="pre">profile</span></code> command.
|
| 147 |
+
Those limitations will be removed in a future version of the CLI.</p></li>
|
| 148 |
+
<li><p>Nsight Systems 2020.4 introduces collection of thread scheduling information
|
| 149 |
+
without full sampling. While this allows system information at a lower cost,
|
| 150 |
+
it does add overhead. To turn off thread schedule information collection, add
|
| 151 |
+
<code class="docutils literal notranslate"><span class="pre">--cpuctxsw=none</span></code> to your command line or turn off in the GUI.</p></li>
|
| 152 |
+
<li><p>Profiling greater than 5 minutes is not officially supported at this time.
|
| 153 |
+
Profiling high activity applications, on high performance machines, over a
|
| 154 |
+
long analysis time can create large result files that may take a very long
|
| 155 |
+
time to load, run out of memory, or lock up the system. If you have a complex
|
| 156 |
+
application, we recommend starting with a short profiling session duration of
|
| 157 |
+
no more than 5 minutes for your initial profile. If your application has a
|
| 158 |
+
natural repeating pattern, often referred to as a frame, you may typically
|
| 159 |
+
only need a few of these. This suggested limit will increase in future
|
| 160 |
+
releases.</p></li>
|
| 161 |
+
<li><p>Attaching or re-attaching to a process from the GUI is not supported with the
|
| 162 |
+
x86_64 Linux or IBM Power target. Equivalent results can be obtained by using
|
| 163 |
+
the interactive CLI to launch the process and then starting and stopping
|
| 164 |
+
analysis at multiple points.</p></li>
|
| 165 |
+
<li><p>To reduce overhead, Nsight Systems traces a subset of API calls likely to
|
| 166 |
+
impact performance when tracing APIs rather than all possible calls. There
|
| 167 |
+
is currently no way to change the subset being traced when using the CLI.
|
| 168 |
+
See respective library portion of this documentation for a list of calls
|
| 169 |
+
traced by default. The CLI limitation will be removed in a future version of
|
| 170 |
+
the product.</p></li>
|
| 171 |
+
<li><p>There is an upper bound on the default size used by the tool to record trace
|
| 172 |
+
events during the collection. If you see the following diagnostic error, then
|
| 173 |
+
Nsight Systems hit the upper limit.</p>
|
| 174 |
+
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">Reached</span><span class="w"> </span><span class="n">the</span><span class="w"> </span><span class="n">size</span><span class="w"> </span><span class="n">limit</span><span class="w"> </span><span class="n">on</span><span class="w"> </span><span class="n">recording</span><span class="w"> </span><span class="n">trace</span><span class="w"> </span><span class="n">events</span><span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="k">this</span><span class="w"> </span><span class="n">process</span><span class="p">.</span><span class="w"></span>
|
| 175 |
+
<span class="w"> </span><span class="n">Try</span><span class="w"> </span><span class="n">reducing</span><span class="w"> </span><span class="n">the</span><span class="w"> </span><span class="n">profiling</span><span class="w"> </span><span class="n">duration</span><span class="w"> </span><span class="n">or</span><span class="w"> </span><span class="n">reduce</span><span class="w"> </span><span class="n">the</span><span class="w"> </span><span class="n">number</span><span class="w"> </span><span class="n">of</span><span class="w"> </span><span class="n">features</span><span class="w"></span>
|
| 176 |
+
<span class="w"> </span><span class="n">traced</span><span class="p">.</span><span class="w"></span>
|
| 177 |
+
</pre></div>
|
| 178 |
+
</div>
|
| 179 |
+
</li>
|
| 180 |
+
<li><p>When profiling a framework or application that uses CUPTI, like some versions
|
| 181 |
+
of TensorFlow(tm), Nsight Systems will not be able to trace CUDA usage due to
|
| 182 |
+
limitations in CUPTI. These limitations will be corrected in a future version
|
| 183 |
+
of CUPTI. Consider turning off the application’s use of CUPTI if CUDA tracing
|
| 184 |
+
is required.</p></li>
|
| 185 |
+
<li><p>Tracing an application that uses a memory allocator that is not thread-safe
|
| 186 |
+
is not supported.</p></li>
|
| 187 |
+
<li><p>Tracing OS Runtime libraries in an application that preloads glibc symbols is
|
| 188 |
+
unsupported and can lead to undefined behavior.</p></li>
|
| 189 |
+
<li><p>Nsight Systems cannot profile applications launched through a virtual window
|
| 190 |
+
manager like GNU Screen.</p></li>
|
| 191 |
+
<li><p>Using Nsight Systems MPI trace functionality with the Darshan runtime module
|
| 192 |
+
can lead to segfaults. To resolve the issue, unload the module.</p></li>
|
| 193 |
+
</ul>
|
| 194 |
+
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="k">module</span><span class="w"> </span><span class="n">unload</span><span class="w"> </span><span class="n">darshan</span><span class="o">-</span><span class="n">runtime</span><span class="w"></span>
|
| 195 |
+
</pre></div>
|
| 196 |
+
</div>
|
| 197 |
+
<ul class="simple">
|
| 198 |
+
<li><p>Profiling MPI Fortran APIs with MPI_Status as an argument, e.g. MPI_Recv,
|
| 199 |
+
MPI_Test[all], MPI_Wait[all], can potentially cause memory corruption for
|
| 200 |
+
MPICH versions 3.0.x. The reason is that the MPI_Status structure in MPICH
|
| 201 |
+
3.0.x has a different memory layout than in other MPICH versions
|
| 202 |
+
(2.1.x and >=3.1.x have been tested) and the version (3.3.2) we used to
|
| 203 |
+
compile the Nsight Systems MPI interception library.</p></li>
|
| 204 |
+
<li><p>Using <code class="docutils literal notranslate"><span class="pre">nsys</span> <span class="pre">export</span></code> to export to an SQLite database will fail if the
|
| 205 |
+
destination filesystem doesn’t support file locking. The error message will
|
| 206 |
+
mention:</p></li>
|
| 207 |
+
</ul>
|
| 208 |
+
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">std</span><span class="o">::</span><span class="n">exception</span><span class="o">::</span><span class="n">what</span><span class="o">:</span><span class="w"> </span><span class="n">database</span><span class="w"> </span><span class="n">is</span><span class="w"> </span><span class="n">locked</span><span class="w"></span>
|
| 209 |
+
</pre></div>
|
| 210 |
+
</div>
|
| 211 |
+
<ul>
|
| 212 |
+
<li><p>On some Linux systems when VNC is used, some widgets can be rendered
|
| 213 |
+
incorrectly, or Nsight Systems can crash when opening Analysis Summary or
|
| 214 |
+
Diagnostics Summary pages. In this case, try forcing a specific software
|
| 215 |
+
renderer: <code class="docutils literal notranslate"><span class="pre">GALLIUM_DRIVER=llvmpipe</span> <span class="pre">nsys-ui</span></code></p></li>
|
| 216 |
+
<li><p>Due to <a class="reference external" href="https://github.com/open-mpi/ompi/issues/6648">a known bug in Open MPI 4.0.1</a>, target application may
|
| 217 |
+
crash at the end of execution when being profiled by Nsight Systems. To avoid
|
| 218 |
+
the issue, use a different Open MPI version, or add <code class="docutils literal notranslate"><span class="pre">--mca</span> <span class="pre">btl</span> <span class="pre">^vader</span></code>
|
| 219 |
+
option to <code class="docutils literal notranslate"><span class="pre">mpirun</span></code> command line.</p></li>
|
| 220 |
+
<li><p>The multiprocessing module in Python is commonly used by customers to create
|
| 221 |
+
new processes. On Linux, the module defaults to using the “fork” mode where
|
| 222 |
+
it forks new processes, but does not call exec. According to the POSIX
|
| 223 |
+
standard, fork without exec leads to undefined behavior and tools like
|
| 224 |
+
Nsight Systems that rely on injection are only allowed to make
|
| 225 |
+
async-signal-safe calls in such a process. This makes it very hard for tools
|
| 226 |
+
like Nsight Systems to collect profiling information. See
|
| 227 |
+
<a class="reference external" href="https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods">https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods</a></p>
|
| 228 |
+
<p>Use the set_start_method in the multiprocessing module to change the start
|
| 229 |
+
method to “spawn” which is much safer and allows tools like Nsight Systems to
|
| 230 |
+
collect data. See the code example given in the link above.</p>
|
| 231 |
+
<p>The user needs to ensure that processes exit gracefully (by using close and
|
| 232 |
+
join methods, for example, in the multiprocessing module’s objects).
|
| 233 |
+
Otherwise, Nsight Systems cannot flush buffers properly and you might end up
|
| 234 |
+
with missing traces.</p>
|
| 235 |
+
</li>
|
| 236 |
+
<li><p>When the CLI sequence launch, start, stop is used to profile a process-tree,
|
| 237 |
+
LinuxPerf does a depth first search (DFS) to find all of the threads launched
|
| 238 |
+
by the process-tree before programming the OS to collect the data. If, during
|
| 239 |
+
the DFS, one or more threads are created by the process tree, it is possible
|
| 240 |
+
those threads won’t be found and LinuxPerf would not collect data for them.</p>
|
| 241 |
+
<p>Note that once a thread is programmed via perf_event_open, any subsequent
|
| 242 |
+
children processes or threads generated by that thread will be tracked since
|
| 243 |
+
the perf_event_open inherit bit is set.</p>
|
| 244 |
+
<p>No other CLI command sequence suffers from this possible issue. Also, if a
|
| 245 |
+
systemwide mode is used, the issue does not exist.</p>
|
| 246 |
+
</li>
|
| 247 |
+
</ul>
|
| 248 |
+
</section>
|
| 249 |
+
<section id="vgpu-issues">
|
| 250 |
+
<span id="id1"></span><h3>vGPU Issues<a class="headerlink" href="#vgpu-issues" title="Permalink to this heading"></a></h3>
|
| 251 |
+
<ul class="simple">
|
| 252 |
+
<li><p>When running Nsight Systems on vGPU you should always use the profiler grant. See <a class="reference external" href="https://docs.nvidia.com/grid/latest/grid-vgpu-user-guide/index.html#enabling-cuda-toolkit-profilers-vgpu">Virtual GPU Software Documentation</a> for details on enabling NVIDIA CUDA Toolkit profilers for NVIDIA vGPUs. Without the grant, unexpected migrations may crash a running session, report an error and abort. It may also silently produce a corrupted report which may be unloadable or show inaccurate data with no warning.</p></li>
|
| 253 |
+
<li><p>Starting with vGPU 13.0, device level metrics collection is exposed to end users even on vGPU. Device level metrics will give info about all the work being executed on the GPU. The work might be in the same VM or some other VM running on the same physical GPU.</p></li>
|
| 254 |
+
<li><p>As of CUDA 11.4 and R470 TRD1 driver release, Nsight Systems is supported in a vGPU environment which requires a vGPU license. If the license is not obtained after 20 minutes, the tool will still work but the reported GPU performance metrics data will be inaccurate. This is because of a feature in vGPU environment which reduces performance but retains functionality as specified in <a class="reference external" href="https://docs.nvidia.com/grid/latest/grid-licensing-user-guide/index.html#software-enforcement-grid-licensing">Grid Licensing User Guide</a>.</p></li>
|
| 255 |
+
</ul>
|
| 256 |
+
</section>
|
| 257 |
+
<section id="docker-issues">
|
| 258 |
+
<h3>Docker Issues<a class="headerlink" href="#docker-issues" title="Permalink to this heading"></a></h3>
|
| 259 |
+
<ul class="simple">
|
| 260 |
+
<li><p>In a Docker, when a system’s host utilizes a kernel older than v4.3, it is not possible for Nsight Systems to collect sampling data unless both the host and Docker are running a RHEL or CentOS operating system utilizing kernel version 3.10.1-693 or newer. A user override for this will be made available in a future version.</p></li>
|
| 261 |
+
<li><p>When <code class="docutils literal notranslate"><span class="pre">docker</span> <span class="pre">exec</span></code> is called on a running container and stdout is kept open from a command invoked inside that shell, the exec shell hangs until the command exits. You can avoid this issue by running with <code class="docutils literal notranslate"><span class="pre">docker</span> <span class="pre">exec</span> <span class="pre">--tty</span></code>. See the bug reports at:</p></li>
|
| 262 |
+
<li><p><a class="reference external" href="https://github.com/moby/moby/issues/33039">https://github.com/moby/moby/issues/33039</a></p></li>
|
| 263 |
+
<li><p><a class="reference external" href="https://github.com/drud/ddev/issues/732">https://github.com/drud/ddev/issues/732</a></p></li>
|
| 264 |
+
</ul>
|
| 265 |
+
</section>
|
| 266 |
+
<section id="cuda-trace-issues">
|
| 267 |
+
<h3>CUDA Trace Issues<a class="headerlink" href="#cuda-trace-issues" title="Permalink to this heading"></a></h3>
|
| 268 |
+
<ul>
|
| 269 |
+
<li><p>When using CUDA Toolkit 10.X, tracing of DtoD memory copy operations may result in a crash. To avoid this issue, update CUDA Toolkit to 11.X or the latest version.</p></li>
|
| 270 |
+
<li><p>Nsight Systems will not trace kernels when a CDP (CUDA Dynamic Parallelism) kernel is found in a target application on Volta devices or later.</p></li>
|
| 271 |
+
<li><p>On Tegra platforms, CUDA trace requires root privileges. Use the <strong>Launch as root</strong> checkbox in project settings to make the profiled application run as root.</p></li>
|
| 272 |
+
<li><p>If the target application uses multiple streams from multiple threads, CUDA event buffers may not be released properly. In this case, you will see the following diagnostic error:</p>
|
| 273 |
+
<div class="highlight-text notranslate"><div class="highlight"><pre><span></span>Couldn't allocate CUPTI bufer x times. Some CUPTI events may
|
| 274 |
+
be missing.
|
| 275 |
+
</pre></div>
|
| 276 |
+
</div>
|
| 277 |
+
<p>Please contact the Nsight Systems team.</p>
|
| 278 |
+
</li>
|
| 279 |
+
<li><p>In this version of Nsight Systems, if you are starting and stopping profiling inside your application using the interactive CLI, the CUDA memory allocation graph generation is only guaranteed to be correct in the first profiling range. This limitation will be removed in a future version of the product.</p></li>
|
| 280 |
+
<li><p>CUDA GPU trace collection requires a fraction of GPU memory. If your application utilizes all available GPU memory, CUDA trace might not work or can break your application. As an example cuDNN application can crash with <code class="docutils literal notranslate"><span class="pre">CUDNN_STATUS_INTERNAL_ERROR</span></code> error if GPU memory allocation fails.</p></li>
|
| 281 |
+
<li><p>For older Linux kernels, prior to 4.4, when profiling very short-lived applications (~1 second) that exit in the middle of the profiling session, it is possible that Nsight Systems will not show the CUDA events on the timeline.</p></li>
|
| 282 |
+
<li><p>When more than 64k serialized CUDA kernels and memory copies are executed in the application, you may encounter the following exception during profiling:</p>
|
| 283 |
+
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="nl">InvalidArgumentException</span><span class="p">:</span><span class="w"> </span><span class="s">"Wrong event order detected"</span><span class="w"></span>
|
| 284 |
+
</pre></div>
|
| 285 |
+
</div>
|
| 286 |
+
<p>Please upgrade to the CUDA 9.2 driver at minimum to avoid this problem. If you cannot upgrade, you can get a partial analysis, missing potentially a large fraction of CUDA events, by using the CLI.</p>
|
| 287 |
+
</li>
|
| 288 |
+
<li><p>On Vibrante, when running a profiling session with multiple targets that are guest VMs in a CCC configuration behind a NAT, you may encounter an error with the following text during profiling:</p>
|
| 289 |
+
<div class="highlight-c++ notranslate"><div class="highlight"><pre><span></span><span class="n">Failed</span><span class="w"> </span><span class="n">to</span><span class="w"> </span><span class="n">sync</span><span class="w"> </span><span class="n">time</span><span class="w"> </span><span class="n">on</span><span class="w"> </span><span class="n">device</span><span class="p">.</span><span class="w"></span>
|
| 290 |
+
</pre></div>
|
| 291 |
+
</div>
|
| 292 |
+
<p>Please edit the group connection settings, select <strong>Targets on the same SoC</strong> checkbox there and try again.</p>
|
| 293 |
+
</li>
|
| 294 |
+
<li><p>When using the 455 driver, as shipped with CUDA Tool Kit 11.1, and tracing CUDA with Nsight Systems you many encounter a crash when the application exits. To avoid this issue, end your profiling session before the application exits or update your driver.</p></li>
|
| 295 |
+
</ul>
|
| 296 |
+
</section>
|
| 297 |
+
<section id="multi-report-analysis-issues">
|
| 298 |
+
<h3>Multi Report Analysis Issues<a class="headerlink" href="#multi-report-analysis-issues" title="Permalink to this heading"></a></h3>
|
| 299 |
+
<ul class="simple">
|
| 300 |
+
<li><p>Be aware that setting up Dask analysis on your workstation requires some additional work on the system. For small data inputs, running the recipes without Dask may be faster.</p></li>
|
| 301 |
+
</ul>
|
| 302 |
+
</section>
|
| 303 |
+
</section>
|
| 304 |
+
</section>
|
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|
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</div>
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</div>
|
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<footer>
|
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|
| 311 |
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<hr/>
|
| 312 |
+
|
| 313 |
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<div role="contentinfo">
|
| 314 |
+
<p>© Copyright 2018-2023, NVIDIA Corporation & Affiliates. All rights reserved.
|
| 315 |
+
<span class="lastupdated">Last updated on Dec 20, 2023.
|
| 316 |
+
</span></p>
|
| 317 |
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</div>
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</footer>
|
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</div>
|
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</div>
|
| 324 |
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</section>
|
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</div>
|
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<script>
|
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jQuery(function () {
|
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SphinxRtdTheme.Navigation.enable(true);
|
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});
|
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</script>
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|
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</body>
|
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</html>
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cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/documentation/UserGuide/index.html
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|
|
| 1 |
+
// CorePlugin: Provides most of the common Agora UI elements.
|
| 2 |
+
// Prefer adding shared UI code to this plugin instead of the AppLib static library.
|
| 3 |
+
AppLib.logInfo("Loading CorePlugin");
|
| 4 |
+
|
| 5 |
+
// ----------------------------------------------------------------------------
|
| 6 |
+
// Important: These states need to match the ones defined in CoreStates.h.
|
| 7 |
+
// ----------------------------------------------------------------------------
|
| 8 |
+
var states = {
|
| 9 |
+
IsConnected: "$$.IsConnected",
|
| 10 |
+
IsDebugBuild: "$$.IsDebugBuild",
|
| 11 |
+
IsExportLevelInternal: "$$.IsExportLevelInternal",
|
| 12 |
+
IsExportLevelNDA: "$$.IsExportLevelNDA",
|
| 13 |
+
InActivity: "$$.InActivity",
|
| 14 |
+
IsLayoutManagementAvailable: "$$.IsLayoutManagementAvailable",
|
| 15 |
+
IsLayoutManagementSupported: "$$.IsLayoutManagementSupported",
|
| 16 |
+
IsOpenRemoteFileSupported: "$$.IsOpenRemoteFileSupported",
|
| 17 |
+
HasMixedDPIScalingHandling: "$$.HasMixedDPIScalingHandling",
|
| 18 |
+
HasOpenWindows: "$$.HasOpenWindows",
|
| 19 |
+
HasSamples: "$$.HasSamples",
|
| 20 |
+
};
|
| 21 |
+
|
| 22 |
+
addPlugin({
|
| 23 |
+
pluginDependencies: [],
|
| 24 |
+
pluginLibrary: "CorePlugin", // Library suffix (.so, .dll) appended automatically
|
| 25 |
+
pluginAvailableInCli: true,
|
| 26 |
+
|
| 27 |
+
hostApplication: {
|
| 28 |
+
defaultTheme: "Light",
|
| 29 |
+
},
|
| 30 |
+
|
| 31 |
+
commandLineOptions: {
|
| 32 |
+
"$$.SharedInstance": {
|
| 33 |
+
name: "shared-instance",
|
| 34 |
+
valueName: "shared-instance",
|
| 35 |
+
description: "Use a shared instance of the application. If a shared instance does not already exist, it will be created. Supported values are 1|0, true|false, on|off, yes|no.",
|
| 36 |
+
},
|
| 37 |
+
"$$.SharedInstanceKey": {
|
| 38 |
+
name: "shared-instance-key",
|
| 39 |
+
valueName: "shared-instance-key",
|
| 40 |
+
description: "When using a shared instance, this parameter provides a key for which shared instance to use.",
|
| 41 |
+
},
|
| 42 |
+
"$$.NoSplash": {
|
| 43 |
+
name: "no-splash",
|
| 44 |
+
description: "Suppresses the splash screen on startup",
|
| 45 |
+
},
|
| 46 |
+
"$$.Automated": {
|
| 47 |
+
name: "automated",
|
| 48 |
+
description: "Run in automated mode; either for tested or target initiated runs",
|
| 49 |
+
hiddenFromHelp: true,
|
| 50 |
+
},
|
| 51 |
+
"$$.SecondaryInstanceWorkingDirectory": {
|
| 52 |
+
name: "secondary-instance-working-directory",
|
| 53 |
+
valueName: "secondary-instance-working-directory",
|
| 54 |
+
description: "The current directory from which a secondary instance of application started.",
|
| 55 |
+
hiddenFromHelp: true,
|
| 56 |
+
},
|
| 57 |
+
},
|
| 58 |
+
|
| 59 |
+
toolWindows: {
|
| 60 |
+
"$$.LogWindow": {
|
| 61 |
+
text: qsTr("Output Messages"),
|
| 62 |
+
layout: "dockSouth",
|
| 63 |
+
persistable: true,
|
| 64 |
+
commandBars: {
|
| 65 |
+
"$$.LogWindowToolbar": { order: 1000 }
|
| 66 |
+
},
|
| 67 |
+
properties: {
|
| 68 |
+
columns: {
|
| 69 |
+
"ID": { visible: true },
|
| 70 |
+
"Type": { visible: true },
|
| 71 |
+
"Origin": { visible: true },
|
| 72 |
+
"Source": { visible: true },
|
| 73 |
+
"Message": { visible: true },
|
| 74 |
+
},
|
| 75 |
+
},
|
| 76 |
+
},
|
| 77 |
+
|
| 78 |
+
"$$.ProjectExplorer": {
|
| 79 |
+
text: qsTr("Project Explorer"),
|
| 80 |
+
layout: "dockWest",
|
| 81 |
+
persistable: true,
|
| 82 |
+
defaultWidth: 10,
|
| 83 |
+
},
|
| 84 |
+
|
| 85 |
+
"$$.DocumentsWindow": {
|
| 86 |
+
text: qsTr("Documents"),
|
| 87 |
+
sizeMode: "percent",
|
| 88 |
+
defaultHeight: 50,
|
| 89 |
+
defaultWidth: 50,
|
| 90 |
+
isFixed: true,
|
| 91 |
+
preservesContents: true,
|
| 92 |
+
persistable: true,
|
| 93 |
+
layout: "dockEast",
|
| 94 |
+
},
|
| 95 |
+
|
| 96 |
+
"$$.SecondaryDocumentsWindow": {
|
| 97 |
+
text: qsTr("Documents"),
|
| 98 |
+
sizeMode: "percent",
|
| 99 |
+
defaultHeight: 50,
|
| 100 |
+
defaultWidth: 50,
|
| 101 |
+
isFixed: true,
|
| 102 |
+
preservesContents: true,
|
| 103 |
+
persistable: true,
|
| 104 |
+
layout: "floating",
|
| 105 |
+
},
|
| 106 |
+
},
|
| 107 |
+
|
| 108 |
+
documents: {
|
| 109 |
+
fileTypes: {
|
| 110 |
+
"welcome": {
|
| 111 |
+
icon: "",
|
| 112 |
+
factoryName: "WelcomeDocumentFactory",
|
| 113 |
+
viewFactories: [
|
| 114 |
+
{ factoryName: "WelcomeDocumentViewFactory", priority: 50 }
|
| 115 |
+
]
|
| 116 |
+
},
|
| 117 |
+
}
|
| 118 |
+
},
|
| 119 |
+
|
| 120 |
+
documentWells: {
|
| 121 |
+
main: {
|
| 122 |
+
closeWhenEmpty: false
|
| 123 |
+
},
|
| 124 |
+
|
| 125 |
+
secondary: {
|
| 126 |
+
// Not needed for now, but if needed later config could go here.
|
| 127 |
+
},
|
| 128 |
+
},
|
| 129 |
+
|
| 130 |
+
commands: {
|
| 131 |
+
|
| 132 |
+
// Project commands
|
| 133 |
+
"$$.NewProject": {
|
| 134 |
+
visibleWithFlags: ["CorePlugin.HasProjectService"],
|
| 135 |
+
text: qsTr("New Project..."),
|
| 136 |
+
importance: "high",
|
| 137 |
+
},
|
| 138 |
+
"$$.OpenProject": {
|
| 139 |
+
visibleWithFlags: ["CorePlugin.HasProjectService"],
|
| 140 |
+
text: qsTr("Open Project..."),
|
| 141 |
+
imageFontIcon: "fa-folder-open",
|
| 142 |
+
importance: "high",
|
| 143 |
+
},
|
| 144 |
+
"$$.SaveProject": {
|
| 145 |
+
visibleWithFlags: ["CorePlugin.HasProjectService"],
|
| 146 |
+
text: qsTr("Save Project"),
|
| 147 |
+
imageFontIcon: "fa-save",
|
| 148 |
+
importance: "high",
|
| 149 |
+
},
|
| 150 |
+
"$$.SaveProjectAs": {
|
| 151 |
+
visibleWithFlags: ["CorePlugin.HasProjectService"],
|
| 152 |
+
text: qsTr("Save Project As..."),
|
| 153 |
+
importance: "high",
|
| 154 |
+
},
|
| 155 |
+
"$$.CloseProject": {
|
| 156 |
+
visibleWithFlags: ["CorePlugin.HasProjectService"],
|
| 157 |
+
text: qsTr("Close Project"),
|
| 158 |
+
importance: "high",
|
| 159 |
+
},
|
| 160 |
+
"$$.RecentProjects": {
|
| 161 |
+
visibleWithFlags: ["CorePlugin.HasProjectService", "CorePlugin.HasRecentFileService"],
|
| 162 |
+
requiresFlags: [not(states.InActivity)],
|
| 163 |
+
text: qsTr("Recent Projects"),
|
| 164 |
+
},
|
| 165 |
+
|
| 166 |
+
// Document commands
|
| 167 |
+
"$$.NewFile": {
|
| 168 |
+
text: qsTr("&New File..."),
|
| 169 |
+
shortcut: codeTr("Ctrl+N"),
|
| 170 |
+
importance: "high"
|
| 171 |
+
},
|
| 172 |
+
"$$.OpenFile": {
|
| 173 |
+
text: qsTr("&Open File..."),
|
| 174 |
+
imageFontIcon: "fa-folder-open",
|
| 175 |
+
shortcut: codeTr("Ctrl+O"),
|
| 176 |
+
importance: "high"
|
| 177 |
+
},
|
| 178 |
+
"$$.OpenRemoteFile": {
|
| 179 |
+
text: qsTr("Open &Remote File..."),
|
| 180 |
+
shortcut: codeTr("Ctrl+Shift+O"),
|
| 181 |
+
visibleWithFlags: [states.IsOpenRemoteFileSupported],
|
| 182 |
+
importance: "high"
|
| 183 |
+
},
|
| 184 |
+
"$$.SaveFile": {
|
| 185 |
+
text: qsTr("&Save File"),
|
| 186 |
+
imageFontIcon: "fa-save",
|
| 187 |
+
shortcut: codeTr("Ctrl+S"),
|
| 188 |
+
importance: "high"
|
| 189 |
+
},
|
| 190 |
+
"$$.SaveFileAs": {
|
| 191 |
+
text: qsTr("Save File &As..."),
|
| 192 |
+
importance: "high"
|
| 193 |
+
},
|
| 194 |
+
"$$.SaveAllFiles": {
|
| 195 |
+
text: qsTr("Save A&ll Files"),
|
| 196 |
+
shortcut: codeTr("Ctrl+Shift+S"),
|
| 197 |
+
importance: "high"
|
| 198 |
+
},
|
| 199 |
+
"$$.CloseFile": {
|
| 200 |
+
text: qsTr("&Close File"),
|
| 201 |
+
shortcut: codeTr("Ctrl+W"),
|
| 202 |
+
importance: "high"
|
| 203 |
+
},
|
| 204 |
+
"$$.CloseAllFiles": {
|
| 205 |
+
text: qsTr("Close All Files"),
|
| 206 |
+
importance: "high"
|
| 207 |
+
},
|
| 208 |
+
"$$.RecentFiles": {
|
| 209 |
+
visibleWithFlags: ["CorePlugin.HasRecentFileService"],
|
| 210 |
+
text: qsTr("Recent Files"),
|
| 211 |
+
},
|
| 212 |
+
|
| 213 |
+
// General file commands
|
| 214 |
+
"$$.ExitCommand": {
|
| 215 |
+
text: qsTr("E&xit"),
|
| 216 |
+
imageFontIcon: "fa-times-circle",
|
| 217 |
+
shortcut: codeTr("Ctrl+Q"),
|
| 218 |
+
},
|
| 219 |
+
|
| 220 |
+
// Window commands
|
| 221 |
+
"$$.SaveWindowLayout": {
|
| 222 |
+
text: qsTr("Save Window Layout..."),
|
| 223 |
+
requiresFlags: [states.IsLayoutManagementSupported],
|
| 224 |
+
visibleWithFlags: [states.IsLayoutManagementAvailable],
|
| 225 |
+
},
|
| 226 |
+
"$$.ApplyWindowLayout": {
|
| 227 |
+
text: qsTr("Apply Window Layout"),
|
| 228 |
+
requiresFlags: [states.IsLayoutManagementSupported],
|
| 229 |
+
visibleWithFlags: [states.IsLayoutManagementAvailable],
|
| 230 |
+
},
|
| 231 |
+
"$$.ManageWindowLayouts": {
|
| 232 |
+
text: qsTr("Manage Window Layouts..."),
|
| 233 |
+
requiresFlags: [states.IsLayoutManagementSupported],
|
| 234 |
+
visibleWithFlags: [states.IsLayoutManagementAvailable],
|
| 235 |
+
},
|
| 236 |
+
"$$.RestoreDefaultLayout": {
|
| 237 |
+
text: qsTr("Restore Default Layout"),
|
| 238 |
+
},
|
| 239 |
+
"$$.ChooseWindow": {
|
| 240 |
+
text: qsTr("Windows..."),
|
| 241 |
+
shortcut: codeTr("Ctrl+Shift+W"),
|
| 242 |
+
requiresFlags: [states.HasOpenWindows],
|
| 243 |
+
},
|
| 244 |
+
|
| 245 |
+
// Connection commands
|
| 246 |
+
// DEPRECATED: Prefer TPSConnectionPlugin
|
| 247 |
+
"$$.ConnectCommand": {
|
| 248 |
+
text: qsTr("&Connect..."),
|
| 249 |
+
imageFontIcon: "fa-sign-in-alt",
|
| 250 |
+
importance: "high",
|
| 251 |
+
requiresFlags: [not(states.IsConnected)],
|
| 252 |
+
shortcut: codeTr("Ctrl+Shift+C"),
|
| 253 |
+
},
|
| 254 |
+
"$$.DisconnectCommand": {
|
| 255 |
+
text: qsTr("&Disconnect"),
|
| 256 |
+
imageFontIcon: "fa-sign-out-alt",
|
| 257 |
+
importance: "high",
|
| 258 |
+
requiresFlags: [states.IsConnected],
|
| 259 |
+
shortcut: codeTr("Ctrl+Shift+D"),
|
| 260 |
+
},
|
| 261 |
+
|
| 262 |
+
"$$.SettingsCommand": {
|
| 263 |
+
text: qsTr("&Options..."),
|
| 264 |
+
shortcut: codeTr("F7"),
|
| 265 |
+
},
|
| 266 |
+
"$$.ShowLogsCommand": {
|
| 267 |
+
text: qsTr("Output &Messages"),
|
| 268 |
+
},
|
| 269 |
+
"$$.ShowDocumentWell": {
|
| 270 |
+
text: qsTr("[Debug] Documents Well"),
|
| 271 |
+
visibleWithFlags: [states.IsDebugBuild],
|
| 272 |
+
},
|
| 273 |
+
"$$.ExportLogsCommand": {
|
| 274 |
+
text: qsTr("Export to CSV"),
|
| 275 |
+
imageFontIcon: "fa-save",
|
| 276 |
+
},
|
| 277 |
+
"$$.ClearLogsCommand": {
|
| 278 |
+
text: qsTr("Clear"),
|
| 279 |
+
imageFontIcon: "fa-trash",
|
| 280 |
+
importance: "high"
|
| 281 |
+
},
|
| 282 |
+
"$$.ShowInfoLogLevelCommand": {
|
| 283 |
+
text: qsTr("Show &Info Messages"),
|
| 284 |
+
image: codeTr(":/NV_UI/info.ico"),
|
| 285 |
+
checked: true
|
| 286 |
+
},
|
| 287 |
+
"$$.ShowWarningLogLevelCommand": {
|
| 288 |
+
text: qsTr("Show &Warning Messages"),
|
| 289 |
+
image: codeTr(":/NV_UI/warning.ico"),
|
| 290 |
+
checked: true
|
| 291 |
+
},
|
| 292 |
+
"$$.ShowErrorLogLevelCommand": {
|
| 293 |
+
text: qsTr("Show &Error Messages"),
|
| 294 |
+
image: codeTr(":/NV_UI/error.ico"),
|
| 295 |
+
checked: true
|
| 296 |
+
},
|
| 297 |
+
"$$.ShowFatalLogLevelCommand": {
|
| 298 |
+
text: qsTr("Show &Fatal Messages"),
|
| 299 |
+
image: codeTr(":/NV_UI/fatal.ico"),
|
| 300 |
+
checked: true
|
| 301 |
+
},
|
| 302 |
+
"$$.FilterLogSourceCommand": {
|
| 303 |
+
text: qsTr("Filter &Sources:"),
|
| 304 |
+
editable: true,
|
| 305 |
+
type: "list",
|
| 306 |
+
width: 30
|
| 307 |
+
},
|
| 308 |
+
"$$.SamplesCommand": {
|
| 309 |
+
visibleWithFlags: ["CorePlugin.HasProjectService", states.HasSamples],
|
| 310 |
+
requiresFlags: [not(states.InActivity)],
|
| 311 |
+
text: qsTr("Samples"),
|
| 312 |
+
},
|
| 313 |
+
"$$.CheckForUpdatesCommand": {
|
| 314 |
+
text: qsTr("&Check For Updates..."),
|
| 315 |
+
visibleWithFlags: ["CorePlugin.HasVersionUpdateService"],
|
| 316 |
+
},
|
| 317 |
+
"$$.AboutCommand": {
|
| 318 |
+
text: qsTr("&About..."),
|
| 319 |
+
menuRole: "about",
|
| 320 |
+
},
|
| 321 |
+
"$$.DocumentationCommand": {
|
| 322 |
+
text: qsTr("&Documentation..."),
|
| 323 |
+
},
|
| 324 |
+
"$$.FeedbackCommand": {
|
| 325 |
+
text: qsTr("Send Feedbac&k..."),
|
| 326 |
+
imageFontIcon: "fa-comment-alt",
|
| 327 |
+
},
|
| 328 |
+
"$$.SelectPreviousCommand": {
|
| 329 |
+
text: qsTr("Select &Previous"),
|
| 330 |
+
shortcut: codeTr("Ctrl+Left"),
|
| 331 |
+
},
|
| 332 |
+
"$$.SelectNextCommand": {
|
| 333 |
+
text: qsTr("Select &Next"),
|
| 334 |
+
shortcut: codeTr("Ctrl+Right"),
|
| 335 |
+
},
|
| 336 |
+
"$$.SelectFirstCommand": {
|
| 337 |
+
text: qsTr("Select &First"),
|
| 338 |
+
shortcut: codeTr("Ctrl+Home"),
|
| 339 |
+
},
|
| 340 |
+
"$$.SelectLastCommand": {
|
| 341 |
+
text: qsTr("Select &Last"),
|
| 342 |
+
shortcut: codeTr("Ctrl+End"),
|
| 343 |
+
},
|
| 344 |
+
"$$.ShowProjectExplorerCommand": {
|
| 345 |
+
visibleWithFlags: ["CorePlugin.HasProjectService"],
|
| 346 |
+
text: qsTr("Project Explorer"),
|
| 347 |
+
},
|
| 348 |
+
"$$.ResetAppDataCommand": {
|
| 349 |
+
text: qsTr("Reset Application Data..."),
|
| 350 |
+
},
|
| 351 |
+
"$$.ShowWelcomePage": {
|
| 352 |
+
text: qsTr("Show Welcome Page"),
|
| 353 |
+
visibleWithFlags: ["CorePlugin.HasProjectService"],
|
| 354 |
+
},
|
| 355 |
+
"$$.ConsoleLaunch": {
|
| 356 |
+
// Internal command, used when CorePlugin is ready in
|
| 357 |
+
// a console host.
|
| 358 |
+
},
|
| 359 |
+
},
|
| 360 |
+
|
| 361 |
+
commandGroups: {
|
| 362 |
+
|
| 363 |
+
// NOTE: Not a default group in the FileMenu
|
| 364 |
+
"$$.ProjectGroup": {
|
| 365 |
+
"$$.NewProject": { order: 100 },
|
| 366 |
+
"$$.OpenProject": { order: 110 },
|
| 367 |
+
"$$.RecentProjects": { order: 120 },
|
| 368 |
+
"$$.SaveProject": { order: 130 },
|
| 369 |
+
"$$.SaveProjectAs": { order: 140 },
|
| 370 |
+
"$$.CloseProject": { order: 150 },
|
| 371 |
+
},
|
| 372 |
+
|
| 373 |
+
// NOTE: Not a default group in the FileMenu
|
| 374 |
+
"$$.FileGroup": {
|
| 375 |
+
"$$.NewFile": { order: 100 },
|
| 376 |
+
"$$.OpenFile": { order: 110 },
|
| 377 |
+
"$$.OpenRemoteFile": { order: 120 },
|
| 378 |
+
"$$.SaveFile": { order: 130 },
|
| 379 |
+
"$$.SaveFileAs": { order: 140 },
|
| 380 |
+
"$$.SaveAllFiles": { order: 150 },
|
| 381 |
+
"$$.CloseFile": { order: 160 },
|
| 382 |
+
"$$.CloseAllFiles": { order: 170 },
|
| 383 |
+
"$$.RecentFiles": { order: 180 },
|
| 384 |
+
},
|
| 385 |
+
|
| 386 |
+
// NOTE: Battle & Rebel have their own product specific layout group (but should really use this)
|
| 387 |
+
"$$.LayoutGroup": {
|
| 388 |
+
"$$.SaveWindowLayout": { order: 100 },
|
| 389 |
+
"$$.ApplyWindowLayout": { order: 101 },
|
| 390 |
+
"$$.ManageWindowLayouts": { order: 102 },
|
| 391 |
+
"$$.RestoreDefaultLayout": { order: 103 },
|
| 392 |
+
"$$.ChooseWindow": { order: 104 },
|
| 393 |
+
},
|
| 394 |
+
|
| 395 |
+
"$$.WelcomeGroup": {
|
| 396 |
+
"$$.ShowWelcomePage": { order: 100 },
|
| 397 |
+
},
|
| 398 |
+
|
| 399 |
+
"$$.ExitGroup": {
|
| 400 |
+
"$$.ExitCommand": { order: 100 }
|
| 401 |
+
},
|
| 402 |
+
"$$.SettingsGroup": {
|
| 403 |
+
"$$.SettingsCommand": { order: 100 },
|
| 404 |
+
},
|
| 405 |
+
"$$.FileCloseGroup": {
|
| 406 |
+
"$$.CloseDocumentCommand": { order: 100 }
|
| 407 |
+
},
|
| 408 |
+
"$$.ConnectionGroup": {
|
| 409 |
+
"$$.ConnectCommand": { order: 100 },
|
| 410 |
+
"$$.DisconnectCommand": { order: 110 },
|
| 411 |
+
},
|
| 412 |
+
"$$.LogViewGroup": {
|
| 413 |
+
"$$.ShowLogsCommand": { order: 100 },
|
| 414 |
+
"$$.ShowDocumentWell": { order: 110 },
|
| 415 |
+
},
|
| 416 |
+
"$$.LogClearGroup": {
|
| 417 |
+
"$$.ExportLogsCommand": { order: 100 },
|
| 418 |
+
"$$.ClearLogsCommand": { order: 110 },
|
| 419 |
+
},
|
| 420 |
+
"$$.LogFilterGroup": {
|
| 421 |
+
"$$.ShowInfoLogLevelCommand": { order: 100 },
|
| 422 |
+
"$$.ShowWarningLogLevelCommand": { order: 110 },
|
| 423 |
+
"$$.ShowErrorLogLevelCommand": { order: 120 },
|
| 424 |
+
"$$.ShowFatalLogLevelCommand": { order: 130 },
|
| 425 |
+
},
|
| 426 |
+
"$$.LogSourceFilterGroup": {
|
| 427 |
+
"$$.FilterLogSourceCommand": { order: 100 }
|
| 428 |
+
},
|
| 429 |
+
"$$.DocumentationGroup": {
|
| 430 |
+
"$$.DocumentationCommand": { order: 100 },
|
| 431 |
+
"$$.SamplesCommand": { order: 110 },
|
| 432 |
+
"$$.CheckForUpdatesCommand": { order: 200 },
|
| 433 |
+
},
|
| 434 |
+
"$$.FeedbackGroup": {
|
| 435 |
+
"$$.FeedbackCommand": { order: 100 },
|
| 436 |
+
},
|
| 437 |
+
"$$.AboutGroup": {
|
| 438 |
+
"$$.AboutCommand": { order: 100 },
|
| 439 |
+
},
|
| 440 |
+
"$$.ProjectExplorerViewGroup": {
|
| 441 |
+
"$$.ShowProjectExplorerCommand": { order: 100 }
|
| 442 |
+
},
|
| 443 |
+
"$$.ResetAppDataGroup": {
|
| 444 |
+
"$$.ResetAppDataCommand": { order: 100 },
|
| 445 |
+
},
|
| 446 |
+
},
|
| 447 |
+
|
| 448 |
+
commandBars: {
|
| 449 |
+
"$$.FileMenu": {
|
| 450 |
+
type: "menu",
|
| 451 |
+
text: qsTr("&File"),
|
| 452 |
+
commandGroups: {
|
| 453 |
+
"$$.ExitGroup": { order: 100 },
|
| 454 |
+
},
|
| 455 |
+
},
|
| 456 |
+
"$$.ConnectionMenu": {
|
| 457 |
+
type: "menu",
|
| 458 |
+
text: qsTr("&Connection"),
|
| 459 |
+
commandGroups: {
|
| 460 |
+
"$$.ConnectionGroup": { order: 100 },
|
| 461 |
+
},
|
| 462 |
+
},
|
| 463 |
+
"$$.ToolsMenu": {
|
| 464 |
+
type: "menu",
|
| 465 |
+
text: qsTr("&Tools"),
|
| 466 |
+
commandGroups: {
|
| 467 |
+
"$$.LogViewGroup": { order: 100 },
|
| 468 |
+
"$$.ProjectExplorerViewGroup": { order: 110 },
|
| 469 |
+
"$$.SettingsGroup": { order: 120 },
|
| 470 |
+
},
|
| 471 |
+
},
|
| 472 |
+
|
| 473 |
+
// NOTE: Battle & Rebel have their own product specific window menu (but should really use this)
|
| 474 |
+
"$$.WindowMenu": {
|
| 475 |
+
type: "menu",
|
| 476 |
+
text: qsTr("&Window"),
|
| 477 |
+
commandGroups: {
|
| 478 |
+
"$$.LayoutGroup": { order: 100 },
|
| 479 |
+
"$$.WelcomeGroup": { order: 110 },
|
| 480 |
+
},
|
| 481 |
+
},
|
| 482 |
+
|
| 483 |
+
"$$.HelpMenu": {
|
| 484 |
+
type: "menu",
|
| 485 |
+
text: qsTr("&Help"),
|
| 486 |
+
commandGroups: {
|
| 487 |
+
"$$.DocumentationGroup": { order: 100 },
|
| 488 |
+
"$$.ResetAppDataGroup": { order: 110 },
|
| 489 |
+
"$$.FeedbackGroup": { order: 120 },
|
| 490 |
+
"$$.AboutGroup": { order: 130 },
|
| 491 |
+
},
|
| 492 |
+
},
|
| 493 |
+
"$$.ConnectionToolbar": {
|
| 494 |
+
type: "toolbar",
|
| 495 |
+
text: qsTr("Connection"),
|
| 496 |
+
commandGroups: {
|
| 497 |
+
"$$.ConnectionGroup": { order: 100 },
|
| 498 |
+
},
|
| 499 |
+
},
|
| 500 |
+
"$$.LogWindowToolbar": {
|
| 501 |
+
type: "toolbar",
|
| 502 |
+
text: qsTr("Main"),
|
| 503 |
+
commandGroups: {
|
| 504 |
+
"$$.LogClearGroup": { order: 100 },
|
| 505 |
+
"$$.LogFilterGroup": { order: 110 },
|
| 506 |
+
"$$.LogSourceFilterGroup": { order: 120 },
|
| 507 |
+
}
|
| 508 |
+
},
|
| 509 |
+
"$$.FeedbackToolbar": {
|
| 510 |
+
type: "rightJustifedToolbar",
|
| 511 |
+
text: qsTr("Feedback"),
|
| 512 |
+
commandGroups: {
|
| 513 |
+
"$$.FeedbackGroup": { order: 100 },
|
| 514 |
+
},
|
| 515 |
+
},
|
| 516 |
+
},
|
| 517 |
+
|
| 518 |
+
settings: {
|
| 519 |
+
"$$.Environment": {
|
| 520 |
+
order: 50,
|
| 521 |
+
text: qsTr("Environment"),
|
| 522 |
+
properties: {
|
| 523 |
+
"$$.ColorTheme": {
|
| 524 |
+
order: 100,
|
| 525 |
+
type: "installedThemes",
|
| 526 |
+
category: qsTr("Visual Experience"),
|
| 527 |
+
text: qsTr("Color Theme"),
|
| 528 |
+
detailsText: qsTr("The currently selected application color theme."),
|
| 529 |
+
changeRequiresAppRestart: true,
|
| 530 |
+
},
|
| 531 |
+
"$$.GeneralFont": {
|
| 532 |
+
order: 101,
|
| 533 |
+
type: "font",
|
| 534 |
+
fontType: "general",
|
| 535 |
+
category: qsTr("Visual Experience"),
|
| 536 |
+
text: qsTr("General Font"),
|
| 537 |
+
detailsText: qsTr("General font used for all non-code UI elements."),
|
| 538 |
+
changeRequiresAppRestart: true,
|
| 539 |
+
},
|
| 540 |
+
"$$.CodeFont2": {
|
| 541 |
+
order: 102,
|
| 542 |
+
type: "font",
|
| 543 |
+
fontType: "code",
|
| 544 |
+
category: qsTr("Visual Experience"),
|
| 545 |
+
text: qsTr("Code Font"),
|
| 546 |
+
detailsText: qsTr("Font used for source code and code-like UI elements."),
|
| 547 |
+
changeRequiresAppRestart: true,
|
| 548 |
+
},
|
| 549 |
+
"$$.DefaultColorMap": {
|
| 550 |
+
order: 109,
|
| 551 |
+
type: "defaultColorMap",
|
| 552 |
+
defaultValue: "Flammenmeer",
|
| 553 |
+
category: qsTr("Visual Experience"),
|
| 554 |
+
text: qsTr("Default Color Scale"),
|
| 555 |
+
detailsText: qsTr("Default color map used to represent a qualitiative scale of values."),
|
| 556 |
+
},
|
| 557 |
+
"$$.DefaultDocumentsFolder": {
|
| 558 |
+
requiresFlags: ["CorePlugin.HasProjectService"],
|
| 559 |
+
order: 110,
|
| 560 |
+
type: "directoryPath",
|
| 561 |
+
category: qsTr("Documents Folder"),
|
| 562 |
+
detailsText: qsTr("The folder where projects and documents will be saved."),
|
| 563 |
+
},
|
| 564 |
+
"$$.StartupBehavior": {
|
| 565 |
+
requiresFlags: ["CorePlugin.HasProjectService"],
|
| 566 |
+
order: 120,
|
| 567 |
+
type: "enum",
|
| 568 |
+
category: qsTr("Startup Behavior"),
|
| 569 |
+
text: qsTr("At Startup"),
|
| 570 |
+
detailsText: qsTr("What to do when the host is launched"),
|
| 571 |
+
defaultValue: "welcomePage",
|
| 572 |
+
enumValues: {
|
| 573 |
+
"welcomePage": {
|
| 574 |
+
order: 100,
|
| 575 |
+
text: qsTr("Show Welcome Page"),
|
| 576 |
+
},
|
| 577 |
+
"quickLaunch": {
|
| 578 |
+
order: 200,
|
| 579 |
+
text: qsTr("Show Quick Launch Dialog"),
|
| 580 |
+
},
|
| 581 |
+
"lastProject": {
|
| 582 |
+
order: 300,
|
| 583 |
+
text: qsTr("Load Last Project"),
|
| 584 |
+
},
|
| 585 |
+
"empty": {
|
| 586 |
+
order: 400,
|
| 587 |
+
text: qsTr("Show Empty Environment"),
|
| 588 |
+
},
|
| 589 |
+
},
|
| 590 |
+
},
|
| 591 |
+
"$$.ShowVersionUpdateNotifications": {
|
| 592 |
+
requiresFlags: ["CorePlugin.HasVersionUpdateService"],
|
| 593 |
+
order: 130,
|
| 594 |
+
type: "bool",
|
| 595 |
+
category: qsTr("Updates"),
|
| 596 |
+
text: qsTr("Show version update notifications"),
|
| 597 |
+
detailsText: qsTr("Show notifications when a new version of this product is available."),
|
| 598 |
+
defaultValue: true
|
| 599 |
+
},
|
| 600 |
+
},
|
| 601 |
+
},
|
| 602 |
+
|
| 603 |
+
"$$.Privacy": {
|
| 604 |
+
requiresFlags: ["CorePlugin.HasPrivacyDialog"],
|
| 605 |
+
order: 9999,
|
| 606 |
+
text: qsTr("Send Feedback..."),
|
| 607 |
+
properties: {
|
| 608 |
+
"$$.AllowAnalytics": {
|
| 609 |
+
order: 100,
|
| 610 |
+
type: "bool",
|
| 611 |
+
category: qsTr("Help Improve NVIDIA Software"),
|
| 612 |
+
text: qsTr("Collect Usage and Platform Data"),
|
| 613 |
+
detailsText: qsTr("NVIDIA software packages collect usage and platform data via Google Analytics. \nThis data is not associated with any account information registered with NVIDIA \nand is used under the legitimate interest standard for the sole purpose of \nimproving NVIDIA software. For inquiries, please contact privacy@nvidia.com."),
|
| 614 |
+
},
|
| 615 |
+
},
|
| 616 |
+
},
|
| 617 |
+
|
| 618 |
+
},
|
| 619 |
+
});
|
| 620 |
+
|
| 621 |
+
// Rename some commands for increased Mac integration
|
| 622 |
+
if (AppLib.environment.darwin) {
|
| 623 |
+
addPlugin({
|
| 624 |
+
commands: {
|
| 625 |
+
"CorePlugin.ExitCommand": {
|
| 626 |
+
shortcut: codeTr("Ctrl+Q"),
|
| 627 |
+
menuRole: "quit",
|
| 628 |
+
},
|
| 629 |
+
"CorePlugin.SettingsCommand": {
|
| 630 |
+
text: qsTr("Preferences..."),
|
| 631 |
+
shortcut: codeTr("Ctrl+,"),
|
| 632 |
+
menuRole: "preferences",
|
| 633 |
+
},
|
| 634 |
+
},
|
| 635 |
+
});
|
| 636 |
+
}
|
| 637 |
+
|
| 638 |
+
if (AppLib.environment.windows) {
|
| 639 |
+
addPlugin({
|
| 640 |
+
settings: {
|
| 641 |
+
"$$.Environment": {
|
| 642 |
+
properties: {
|
| 643 |
+
"$$.MixedDPIScalingHandling": {
|
| 644 |
+
requiresFlags: ["CorePlugin.HasMixedDPIScalingHandling"],
|
| 645 |
+
order: 105,
|
| 646 |
+
type: "enum",
|
| 647 |
+
defaultValue: "auto",
|
| 648 |
+
category: qsTr("Visual Experience"),
|
| 649 |
+
text: qsTr("Mixed DPI Scaling"),
|
| 650 |
+
detailsText: qsTr("Requires app restart. Disable Mixed DPI Scaling if unwanted artifacts are detected when using monitors with different DPIs."),
|
| 651 |
+
changeRequiresAppRestart: true,
|
| 652 |
+
enumValues: {
|
| 653 |
+
"auto": {
|
| 654 |
+
order: 100,
|
| 655 |
+
text: qsTr("Auto"),
|
| 656 |
+
},
|
| 657 |
+
"integerRoundUp": {
|
| 658 |
+
order: 200,
|
| 659 |
+
text: qsTr("Integer (round up)")
|
| 660 |
+
},
|
| 661 |
+
"integerRoundDown": {
|
| 662 |
+
order: 300,
|
| 663 |
+
text: qsTr("Integer (round down)")
|
| 664 |
+
},
|
| 665 |
+
"integerRoundAdjust": {
|
| 666 |
+
order: 400,
|
| 667 |
+
text: qsTr("Round and adjust the DPI")
|
| 668 |
+
},
|
| 669 |
+
"off": {
|
| 670 |
+
order: 500,
|
| 671 |
+
text: qsTr("Off"),
|
| 672 |
+
},
|
| 673 |
+
},
|
| 674 |
+
},
|
| 675 |
+
},
|
| 676 |
+
},
|
| 677 |
+
},
|
| 678 |
+
});
|
| 679 |
+
}
|
| 680 |
+
|
| 681 |
+
if (AppLib.environment.has_enhanced_windowing_experience_option) {
|
| 682 |
+
addPlugin({
|
| 683 |
+
settings: {
|
| 684 |
+
"$$.Environment": {
|
| 685 |
+
properties: {
|
| 686 |
+
"$$.UseEnhancedWindowingExperience": {
|
| 687 |
+
order: 106,
|
| 688 |
+
type: "bool",
|
| 689 |
+
defaultValue: true,
|
| 690 |
+
category: qsTr("Visual Experience"),
|
| 691 |
+
text: qsTr("Use Enhanced Windowing Experience"),
|
| 692 |
+
detailsText: qsTr("Enable an enhanced windowing experience. Requires app restart."),
|
| 693 |
+
changeRequiresAppRestart: true,
|
| 694 |
+
},
|
| 695 |
+
},
|
| 696 |
+
},
|
| 697 |
+
},
|
| 698 |
+
});
|
| 699 |
+
}
|
| 700 |
+
|
| 701 |
+
if (AppLib.environment.has_enhanced_windowing_experience) {
|
| 702 |
+
addPlugin({
|
| 703 |
+
settings: {
|
| 704 |
+
"$$.Environment": {
|
| 705 |
+
properties: {
|
| 706 |
+
"$$.FloatingWindowsAlwaysOnTop": {
|
| 707 |
+
order: 107,
|
| 708 |
+
type: "bool",
|
| 709 |
+
defaultValue: false,
|
| 710 |
+
category: qsTr("Windowing"),
|
| 711 |
+
text: qsTr("Floating Windows Always on Top"),
|
| 712 |
+
detailsText: qsTr("Configure floating tool windows to always stay on top of the main window. Requires app restart."),
|
| 713 |
+
changeRequiresAppRestart: true,
|
| 714 |
+
},
|
| 715 |
+
|
| 716 |
+
// XXX: This needs some style changes to support; the borders are currently drawn
|
| 717 |
+
// incorrectly.
|
| 718 |
+
//
|
| 719 |
+
// "$$.TabBarPosition": {
|
| 720 |
+
// order: 108,
|
| 721 |
+
// type: "bool",
|
| 722 |
+
// type: "enum",
|
| 723 |
+
// category: qsTr("Windowing"),
|
| 724 |
+
// text: qsTr("Tab Bar Position"),
|
| 725 |
+
// detailsText: qsTr("Set the position of tabs on the tab bar for multi-tabbed tool windows. Requires app restart."),
|
| 726 |
+
// defaultValue: "south",
|
| 727 |
+
// enumValues: {
|
| 728 |
+
// "north": {
|
| 729 |
+
// order: 100,
|
| 730 |
+
// text: qsTr("North"),
|
| 731 |
+
// },
|
| 732 |
+
// "south": {
|
| 733 |
+
// order: 200,
|
| 734 |
+
// text: qsTr("South"),
|
| 735 |
+
// },
|
| 736 |
+
// },
|
| 737 |
+
// changeRequiresAppRestart: true,
|
| 738 |
+
// },
|
| 739 |
+
},
|
| 740 |
+
},
|
| 741 |
+
},
|
| 742 |
+
});
|
| 743 |
+
}
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/Plugins/QuadDPlugin/Manifest.js
ADDED
|
@@ -0,0 +1,857 @@
|
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|
| 1 |
+
// DO NOT MODIFY.
|
| 2 |
+
// This file was created automatically by CMake.
|
| 3 |
+
|
| 4 |
+
// QuadDPlugin is the primary UI library for the product.
|
| 5 |
+
AppLib.logInfo("Loading QuadDPlugin");
|
| 6 |
+
|
| 7 |
+
var states = {
|
| 8 |
+
ShowProjectExplorer: "$$.ShowProjectExplorer",
|
| 9 |
+
};
|
| 10 |
+
|
| 11 |
+
addPlugin({
|
| 12 |
+
pluginDependencies: ["CorePlugin", "TimelinePlugin"],
|
| 13 |
+
pluginLibrary: "QuadDPlugin",
|
| 14 |
+
|
| 15 |
+
hostApplication: {
|
| 16 |
+
multiTargetEnabled: "true",
|
| 17 |
+
usbTargetsEnabled: "true",
|
| 18 |
+
queryEnabled: "true",
|
| 19 |
+
isStandalone: (AppLib.environment.quadd_standalone == true),
|
| 20 |
+
},
|
| 21 |
+
|
| 22 |
+
documents:
|
| 23 |
+
{
|
| 24 |
+
fileTypes:
|
| 25 |
+
{
|
| 26 |
+
"qdrep":
|
| 27 |
+
{
|
| 28 |
+
icon: "",
|
| 29 |
+
factoryName: "ReportFactory",
|
| 30 |
+
viewFactories:
|
| 31 |
+
[
|
| 32 |
+
{ factoryName: "ReportWindowFactory", priority: 50 }
|
| 33 |
+
]
|
| 34 |
+
},
|
| 35 |
+
"nsys-rep":
|
| 36 |
+
{
|
| 37 |
+
icon: "",
|
| 38 |
+
factoryName: "ReportFactory",
|
| 39 |
+
viewFactories:
|
| 40 |
+
[
|
| 41 |
+
{ factoryName: "ReportWindowFactory", priority: 50 }
|
| 42 |
+
]
|
| 43 |
+
},
|
| 44 |
+
"nsys-view":
|
| 45 |
+
{
|
| 46 |
+
icon: "",
|
| 47 |
+
factoryName: "ReportViewFactory",
|
| 48 |
+
viewFactories:
|
| 49 |
+
[
|
| 50 |
+
{ factoryName: "ReportWindowFactory", priority: 50 }
|
| 51 |
+
]
|
| 52 |
+
},
|
| 53 |
+
"qdstrm":
|
| 54 |
+
{
|
| 55 |
+
icon: "",
|
| 56 |
+
factoryName: "ImportStreamFactory",
|
| 57 |
+
viewFactories:
|
| 58 |
+
[
|
| 59 |
+
{ factoryName: "ImportStreamWindowFactory", priority: 50 }
|
| 60 |
+
]
|
| 61 |
+
},
|
| 62 |
+
"ipynb":
|
| 63 |
+
{
|
| 64 |
+
icon: "",
|
| 65 |
+
factoryName: "JupyterFactory",
|
| 66 |
+
viewFactories:
|
| 67 |
+
[
|
| 68 |
+
{ factoryName: "JupyterWindowFactory", priority: 50 }
|
| 69 |
+
]
|
| 70 |
+
},
|
| 71 |
+
"nsys-analysis":
|
| 72 |
+
{
|
| 73 |
+
icon: "",
|
| 74 |
+
factoryName: "RecipeReportFactory",
|
| 75 |
+
viewFactories:
|
| 76 |
+
[
|
| 77 |
+
{ factoryName: "RecipeReportWindowFactory", priority: 50 }
|
| 78 |
+
]
|
| 79 |
+
},
|
| 80 |
+
"csv":
|
| 81 |
+
{
|
| 82 |
+
icon: "",
|
| 83 |
+
factoryName: "RecipeTableFactory",
|
| 84 |
+
viewFactories:
|
| 85 |
+
[
|
| 86 |
+
{ factoryName: "RecipeTableWindowFactory", priority: 50 }
|
| 87 |
+
]
|
| 88 |
+
},
|
| 89 |
+
"parquet":
|
| 90 |
+
{
|
| 91 |
+
icon: "",
|
| 92 |
+
factoryName: "RecipeTableFactory",
|
| 93 |
+
viewFactories:
|
| 94 |
+
[
|
| 95 |
+
{ factoryName: "RecipeTableWindowFactory", priority: 50 }
|
| 96 |
+
]
|
| 97 |
+
},
|
| 98 |
+
"etl":
|
| 99 |
+
{
|
| 100 |
+
icon: "",
|
| 101 |
+
factoryName: "ReportFactory",
|
| 102 |
+
viewFactories:
|
| 103 |
+
[
|
| 104 |
+
{ factoryName: "ReportWindowFactory", priority: 50 }
|
| 105 |
+
]
|
| 106 |
+
},
|
| 107 |
+
"qdresolve":
|
| 108 |
+
{
|
| 109 |
+
icon: "",
|
| 110 |
+
factoryName: "ReportFactory",
|
| 111 |
+
viewFactories:
|
| 112 |
+
[
|
| 113 |
+
{ factoryName: "ReportWindowFactory", priority: 50 }
|
| 114 |
+
]
|
| 115 |
+
},
|
| 116 |
+
"qdproj":
|
| 117 |
+
{
|
| 118 |
+
icon: "",
|
| 119 |
+
factoryName: "ProjectFactory",
|
| 120 |
+
viewFactories:
|
| 121 |
+
[
|
| 122 |
+
{ factoryName: "ProjectWindowFactory", priority: 50 }
|
| 123 |
+
]
|
| 124 |
+
},
|
| 125 |
+
"qdlaunch":
|
| 126 |
+
{
|
| 127 |
+
icon: "",
|
| 128 |
+
factoryName: "ProjectFactory",
|
| 129 |
+
viewFactories:
|
| 130 |
+
[
|
| 131 |
+
{ factoryName: "ProjectWindowFactory", priority: 50 }
|
| 132 |
+
]
|
| 133 |
+
},
|
| 134 |
+
"qdprogress":
|
| 135 |
+
{
|
| 136 |
+
icon: "",
|
| 137 |
+
factoryName: "ProfilingProgressFactory",
|
| 138 |
+
viewFactories:
|
| 139 |
+
[
|
| 140 |
+
{ factoryName: "ProfilingProgressWindowFactory", priority: 50 }
|
| 141 |
+
]
|
| 142 |
+
},
|
| 143 |
+
},
|
| 144 |
+
|
| 145 |
+
fileFilters: {
|
| 146 |
+
"Nsight Systems Multi-report views":
|
| 147 |
+
{
|
| 148 |
+
extensions:
|
| 149 |
+
[
|
| 150 |
+
"nsys-view",
|
| 151 |
+
],
|
| 152 |
+
sortPriority: 40
|
| 153 |
+
},
|
| 154 |
+
"Nsight Systems Reports":
|
| 155 |
+
{
|
| 156 |
+
extensions:
|
| 157 |
+
[
|
| 158 |
+
"qdrep",
|
| 159 |
+
"nsys-rep"
|
| 160 |
+
],
|
| 161 |
+
sortPriority: 50
|
| 162 |
+
}
|
| 163 |
+
}
|
| 164 |
+
},
|
| 165 |
+
|
| 166 |
+
settings: {
|
| 167 |
+
"$$.SystemTrace": {
|
| 168 |
+
order: 90,
|
| 169 |
+
text: qsTr("System Trace"),
|
| 170 |
+
detailsText: qsTr("Settings for the System Trace activity"),
|
| 171 |
+
visible: (AppLib.environment.quadd_standalone != true),
|
| 172 |
+
},
|
| 173 |
+
|
| 174 |
+
"$$.Behavior": {
|
| 175 |
+
order: 99,
|
| 176 |
+
text: qsTr("Behavior"),
|
| 177 |
+
parent: (AppLib.environment.quadd_standalone == true ? "" : qsTr("System Trace")),
|
| 178 |
+
properties: {
|
| 179 |
+
"QuadDPlugin.MultipleReportsOpenMode": {
|
| 180 |
+
order: 105,
|
| 181 |
+
type: "enum",
|
| 182 |
+
enumValues: {
|
| 183 |
+
"askMode": {
|
| 184 |
+
order: 100,
|
| 185 |
+
text: qsTr("Ask"),
|
| 186 |
+
},
|
| 187 |
+
"separateReportsMode": {
|
| 188 |
+
order: 101,
|
| 189 |
+
text: qsTr("Open separate reports"),
|
| 190 |
+
},
|
| 191 |
+
"createMultiReportViewMode": {
|
| 192 |
+
order: 102,
|
| 193 |
+
text: qsTr("Create a multi-report view"),
|
| 194 |
+
},
|
| 195 |
+
},
|
| 196 |
+
text: qsTr("On multiple report open"),
|
| 197 |
+
detailsText: qsTr("Whether we need to automatically create a " +
|
| 198 |
+
"multi-report view on simultaneous opening of multiple reports"),
|
| 199 |
+
defaultValue: "askMode",
|
| 200 |
+
},
|
| 201 |
+
|
| 202 |
+
"QuadDPlugin.SymbolsSearchLocations": {
|
| 203 |
+
order: 200,
|
| 204 |
+
type: "directoryPathList",
|
| 205 |
+
category: qsTr("Symbols search locations"),
|
| 206 |
+
text: qsTr("Search directories/servers"),
|
| 207 |
+
detailsText: qsTr("List of locations (directories and servers) to search " +
|
| 208 |
+
"for symbol files"),
|
| 209 |
+
defaultValue: qsTr("")
|
| 210 |
+
},
|
| 211 |
+
"QuadDPlugin.SymbolsCacheDirectory": {
|
| 212 |
+
order: 201,
|
| 213 |
+
type: "directoryPath",
|
| 214 |
+
category: qsTr("Symbols search locations"),
|
| 215 |
+
text: qsTr("Cache directory"),
|
| 216 |
+
detailsText: qsTr("The symbol cache is the location on your local " +
|
| 217 |
+
"machine that Nsight Systems places a copy of the symbols it finds " +
|
| 218 |
+
"on remote locations for future use"),
|
| 219 |
+
defaultValue: qsTr("")
|
| 220 |
+
},
|
| 221 |
+
},
|
| 222 |
+
},
|
| 223 |
+
|
| 224 |
+
"$$.ReportBehavior": {
|
| 225 |
+
order: 100,
|
| 226 |
+
text: qsTr("Report"),
|
| 227 |
+
detailsText: qsTr("You need to reopen report(s) in order for the change of this " +
|
| 228 |
+
"settings to take effect"),
|
| 229 |
+
parent: qsTr("Behavior"),
|
| 230 |
+
properties: {
|
| 231 |
+
"QuadDPlugin.UseCudaNvtxGroups": {
|
| 232 |
+
order: 105,
|
| 233 |
+
type: "bool",
|
| 234 |
+
category: qsTr("Report Behaviour"),
|
| 235 |
+
text: qsTr("Rename CUDA Kernels by NVTX"),
|
| 236 |
+
detailsText: qsTr("Rename CUDA Kernels by NVTX ranges."),
|
| 237 |
+
defaultValue: false
|
| 238 |
+
},
|
| 239 |
+
"QuadDPlugin.UseCudaKernelColors": {
|
| 240 |
+
order: 106,
|
| 241 |
+
type: "bool",
|
| 242 |
+
category: qsTr("Report Behaviour"),
|
| 243 |
+
text: qsTr("Color CUDA Kernels"),
|
| 244 |
+
detailsText: qsTr("Apply different color to CUDA kernels."),
|
| 245 |
+
defaultValue: false
|
| 246 |
+
},
|
| 247 |
+
"QuadDPlugin.TimelineMode": {
|
| 248 |
+
order: 107,
|
| 249 |
+
type: "enum",
|
| 250 |
+
enumValues: {
|
| 251 |
+
"defaultMode": {
|
| 252 |
+
order: 100,
|
| 253 |
+
text: qsTr("CPU rows on top"),
|
| 254 |
+
},
|
| 255 |
+
"gpuOnTopMode": {
|
| 256 |
+
order: 101,
|
| 257 |
+
text: qsTr("GPU rows on top"),
|
| 258 |
+
},
|
| 259 |
+
},
|
| 260 |
+
category: qsTr("Report Behaviour"),
|
| 261 |
+
text: qsTr("Timeline mode"),
|
| 262 |
+
detailsText: qsTr("Switch timeline mode."),
|
| 263 |
+
defaultValue: "gpuOnTopMode"
|
| 264 |
+
},
|
| 265 |
+
"QuadDPlugin.SymbolSearchVerboseLog": {
|
| 266 |
+
order: 108,
|
| 267 |
+
type: "bool",
|
| 268 |
+
category: qsTr("Report Behaviour"),
|
| 269 |
+
text: qsTr("Symbol Search verbose log (Windows only)"),
|
| 270 |
+
detailsText: qsTr("Display the intermediate steps of the symbol search in" +
|
| 271 |
+
" the report's Symbol Resolution Log."),
|
| 272 |
+
defaultValue: false
|
| 273 |
+
},
|
| 274 |
+
"QuadDPlugin.CollapseUnresolvedCallstackFrames": {
|
| 275 |
+
order: 109,
|
| 276 |
+
type: "bool",
|
| 277 |
+
category: qsTr("Report Behaviour"),
|
| 278 |
+
text: qsTr("Collapse unresolved callstack frames"),
|
| 279 |
+
detailsText: qsTr("Display a single line \"modulename[N frames]\" instead" +
|
| 280 |
+
" of consecutive callstack frames of same module with unresolved symbols."),
|
| 281 |
+
defaultValue: true
|
| 282 |
+
},
|
| 283 |
+
|
| 284 |
+
"$$.VerticalScrolling": {
|
| 285 |
+
order: 200,
|
| 286 |
+
type: "bool",
|
| 287 |
+
category: qsTr("Vertical scrolling behaviour"),
|
| 288 |
+
text: qsTr("Scroll vertically when time filter is changed"),
|
| 289 |
+
detailsText: qsTr("Try to preserve visual context when time filter is applied"),
|
| 290 |
+
defaultValue: false
|
| 291 |
+
},
|
| 292 |
+
},
|
| 293 |
+
},
|
| 294 |
+
|
| 295 |
+
"$$.ProfileBehavior": {
|
| 296 |
+
order: 101,
|
| 297 |
+
text: qsTr("Profile"),
|
| 298 |
+
detailsText: qsTr("You need to rerun trace(s) in order for the change of this " +
|
| 299 |
+
"settings to take effect"),
|
| 300 |
+
parent: qsTr("Behavior"),
|
| 301 |
+
properties: {
|
| 302 |
+
"QuadDPlugin.RetainETWLogFile": {
|
| 303 |
+
order: 100,
|
| 304 |
+
type: "bool",
|
| 305 |
+
visible: true,
|
| 306 |
+
text: qsTr("Save ETW log files in project folder (Windows only)"),
|
| 307 |
+
detailsText: qsTr("Keep ETL file. trace rerun required."),
|
| 308 |
+
defaultValue: true
|
| 309 |
+
},
|
| 310 |
+
"QuadDPlugin.AutomaticallyGenerateReportFileNames": {
|
| 311 |
+
order: 101,
|
| 312 |
+
type: "bool",
|
| 313 |
+
text: qsTr("Derive report file name from collected data (Windows only)"),
|
| 314 |
+
detailsText: qsTr("Use details of profiled graphics application. Format: " +
|
| 315 |
+
"[Process Name][GPU Name][Window Resolution][Graphics API] Timestamp.nsys-rep"),
|
| 316 |
+
defaultValue: false
|
| 317 |
+
},
|
| 318 |
+
|
| 319 |
+
"QuadDPlugin.ResolveSymbolsOnReportCreation": {
|
| 320 |
+
order: 200,
|
| 321 |
+
type: "bool",
|
| 322 |
+
text: qsTr("Resolve symbols when creating a report"),
|
| 323 |
+
detailsText: qsTr("Search for symbol files and attempt to resolve symbols" +
|
| 324 |
+
" of backtraces when creating a new report."),
|
| 325 |
+
},
|
| 326 |
+
}
|
| 327 |
+
},
|
| 328 |
+
|
| 329 |
+
"$$.Notifications": {
|
| 330 |
+
text: qsTr("Notifications"),
|
| 331 |
+
order: 140,
|
| 332 |
+
parent: (AppLib.environment.quadd_standalone == true ? "" : qsTr("System Trace")),
|
| 333 |
+
properties: {
|
| 334 |
+
"QuadDPlugin.ResetNotifications": {
|
| 335 |
+
category: qsTr("Reset All Notifications"),
|
| 336 |
+
type: "button",
|
| 337 |
+
detailsText: qsTr("Click to reset all notifications to the default state"),
|
| 338 |
+
text: qsTr("Reset notifications"),
|
| 339 |
+
consecutiveClick: false
|
| 340 |
+
}
|
| 341 |
+
}
|
| 342 |
+
},
|
| 343 |
+
|
| 344 |
+
"$$.TimelineHierarchySettings": {
|
| 345 |
+
text: qsTr("Hierarchy"),
|
| 346 |
+
visible: true,
|
| 347 |
+
order: 901,
|
| 348 |
+
parent: qsTr("Timeline"),
|
| 349 |
+
|
| 350 |
+
properties: {
|
| 351 |
+
"QuadDPlugin.ShowCpuOccupancy": {
|
| 352 |
+
type: "bool",
|
| 353 |
+
category: qsTr("Visibility"),
|
| 354 |
+
text: qsTr("Show CPU occupancy chart"),
|
| 355 |
+
detailsText: qsTr("Show the chart indicating the CPU on which code was running"),
|
| 356 |
+
defaultValue: true,
|
| 357 |
+
}
|
| 358 |
+
}
|
| 359 |
+
},
|
| 360 |
+
},
|
| 361 |
+
|
| 362 |
+
timelineHelp: {
|
| 363 |
+
title: "Timeline Actions and Gestures",
|
| 364 |
+
description: "When navigating the Timeline you can use keyboard shortcuts and mouse gestures. " +
|
| 365 |
+
"If your machine is equipped with a touchpad, you can also use touchpad gestures to " +
|
| 366 |
+
"pan, zoom and scroll vertically.\n\n" +
|
| 367 |
+
"The tables below show a description of common actions with their gesture bindings.",
|
| 368 |
+
|
| 369 |
+
shortcutGroups: [{
|
| 370 |
+
title: "Show This Dialog",
|
| 371 |
+
description: "Press the '?' key when Timeline is in focus."
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
title: "Navigation with Keyboard and Mouse",
|
| 375 |
+
description: "Here are combinations to use keyboard and mouse to scroll through the Timeline and the tree.",
|
| 376 |
+
shortcuts: [{
|
| 377 |
+
id: "Navigation.PanLeft",
|
| 378 |
+
name: "Pan Left",
|
| 379 |
+
combinations: {
|
| 380 |
+
common: ["LeftArrow"]
|
| 381 |
+
}
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
id: "Navigation.PanRight",
|
| 385 |
+
name: "Pan Right",
|
| 386 |
+
combinations: {
|
| 387 |
+
common: ["RightArrow"]
|
| 388 |
+
}
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
id: "Navigation.ZoomInX",
|
| 392 |
+
name: "Zoom in X-axis",
|
| 393 |
+
combinations: {
|
| 394 |
+
common: ["Keyboard +", "Keyboard ="],
|
| 395 |
+
windows: ["CTRL + MouseWheel up"],
|
| 396 |
+
linux: ["CTRL + MouseWheel up"],
|
| 397 |
+
macos: ["Cmd + MouseWheel up"]
|
| 398 |
+
}
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
id: "Navigation.ZoomOutX",
|
| 402 |
+
name: "Zoom out X-axis",
|
| 403 |
+
combinations: {
|
| 404 |
+
common: ["Keyboard -"],
|
| 405 |
+
windows: ["CTRL + MouseWheel down"],
|
| 406 |
+
linux: ["CTRL + MouseWheel down"],
|
| 407 |
+
macos: ["Cmd + MouseWheel down"],
|
| 408 |
+
}
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
id: "Navigaton.NextRow",
|
| 412 |
+
name: "Next Row",
|
| 413 |
+
combinations: {
|
| 414 |
+
common: ["ArrowDown"]
|
| 415 |
+
}
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
id: "Navigaton.PrevRow",
|
| 419 |
+
name: "Previous Row",
|
| 420 |
+
combinations: {
|
| 421 |
+
common: ["ArrowUp"]
|
| 422 |
+
}
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
id: "Navigation.Undo",
|
| 426 |
+
name: "Undo a Navigation Step",
|
| 427 |
+
combinations: {
|
| 428 |
+
common: ["Backspace"]
|
| 429 |
+
}
|
| 430 |
+
}]
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
title: "Navigation with Touchpad",
|
| 434 |
+
description: "Navigating through the Timeline and the tree with touchpad.",
|
| 435 |
+
shortcuts: [{
|
| 436 |
+
id: "Navigation.PanLeft",
|
| 437 |
+
name: "Pan Left",
|
| 438 |
+
combinations: {
|
| 439 |
+
common: ["Swipe right with two fingers"]
|
| 440 |
+
}
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
id: "Navigation.PanRight",
|
| 444 |
+
name: "Pan Right",
|
| 445 |
+
combinations: {
|
| 446 |
+
common: ["Swipe left with two fingers"]
|
| 447 |
+
}
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
id: "Navigation.ZoomInX",
|
| 451 |
+
name: "Zoom in X-axis",
|
| 452 |
+
combinations: {
|
| 453 |
+
common: ["Pinch in with touchpad"]
|
| 454 |
+
}
|
| 455 |
+
},
|
| 456 |
+
{
|
| 457 |
+
id: "Navigation.ZoomOutX",
|
| 458 |
+
name: "Zoom out X-axis",
|
| 459 |
+
combinations: {
|
| 460 |
+
common: ["Pinch out with touchpad"]
|
| 461 |
+
}
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
id: "Navigaton.ScrollUp",
|
| 465 |
+
name: "Scroll Tree Up",
|
| 466 |
+
combinations: {
|
| 467 |
+
common: ["Swipe down with two fingers"]
|
| 468 |
+
}
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
id: "Navigaton.ScrollDown",
|
| 472 |
+
name: "Scroll Tree Down",
|
| 473 |
+
combinations: {
|
| 474 |
+
common: ["Swipe up with two fingers"]
|
| 475 |
+
}
|
| 476 |
+
}]
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
title: "Selection of Items",
|
| 480 |
+
description: "You can select an item on the Timeline. " +
|
| 481 |
+
"Selecting items with double-click synchronizes the Timeline and the Events View",
|
| 482 |
+
|
| 483 |
+
shortcuts: [{
|
| 484 |
+
id: "Selection.SelectItem",
|
| 485 |
+
name: "Select an Item in the Timeline",
|
| 486 |
+
combinations: {
|
| 487 |
+
common: ["MouseLeftClick on an item"]
|
| 488 |
+
}
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
id: "Selection.SelectItemInEventsView",
|
| 492 |
+
name: "Select an Item in the current Events View",
|
| 493 |
+
combinations: {
|
| 494 |
+
common: ["MouseLeftDoubleClick on an item"]
|
| 495 |
+
}
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
id: "Selection.OpenEventsViewAndSelectItem",
|
| 499 |
+
name: "Open the corresponding Events View and select an Item there",
|
| 500 |
+
combinations: {
|
| 501 |
+
common: ["Shift + MouseLeftDoubleClick on an item"]
|
| 502 |
+
}
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
id: "Selection.FitItemToScreen",
|
| 506 |
+
name: "Select and Fit an Item to Screen",
|
| 507 |
+
combinations: {
|
| 508 |
+
windows: ["CTRL + MouseLeftDoubleClick on an item"],
|
| 509 |
+
linux: ["CTRL + MouseLeftDoubleClick on an item"],
|
| 510 |
+
macos: ["Cmd + MouseLeftDoubleClick on an item"]
|
| 511 |
+
}
|
| 512 |
+
}]
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
title: "Selection of a Time Range",
|
| 516 |
+
description: "You can select an time range on the Timeline. " +
|
| 517 |
+
"The selected area and its borders can be dragged with left mouse button. " +
|
| 518 |
+
"Also it has several shortcuts modifying zoom level and time filter.",
|
| 519 |
+
|
| 520 |
+
shortcuts: [{
|
| 521 |
+
id: "Selection.SelectTimeRange",
|
| 522 |
+
name: "Select a Time Range",
|
| 523 |
+
combinations: {
|
| 524 |
+
common: ["Press and drag left mouse button"]
|
| 525 |
+
}
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
id: "Selection.SelectTimeRange",
|
| 529 |
+
name: "Drag Selection or Its Border",
|
| 530 |
+
combinations: {
|
| 531 |
+
common: ["Press and drag left mouse button on a selection"]
|
| 532 |
+
}
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
id: "Selection.Deselect",
|
| 536 |
+
name: "Deselect a Time Range",
|
| 537 |
+
combinations: {
|
| 538 |
+
common: ["Escape", "Click outside a selection"]
|
| 539 |
+
}
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
id: "Selection.Zoom",
|
| 543 |
+
name: "Zoom into a Selection",
|
| 544 |
+
combinations: {
|
| 545 |
+
common: ["Z"]
|
| 546 |
+
}
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
id: "Selection.ZoomAndDeselect",
|
| 550 |
+
name: "Zoom into a Selection and Deselect",
|
| 551 |
+
combinations: {
|
| 552 |
+
common: ["Shift + Z", "MouseLeftDoubleClick on a selection"]
|
| 553 |
+
}
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
id: "Selection.Filter",
|
| 557 |
+
name: "Apply Time Filter",
|
| 558 |
+
combinations: {
|
| 559 |
+
common: ["F"]
|
| 560 |
+
}
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
id: "Selection.FilterAndDeselect",
|
| 564 |
+
name: "Apply Time Filter and Deselect",
|
| 565 |
+
combinations: {
|
| 566 |
+
common: ["Shift + F"]
|
| 567 |
+
}
|
| 568 |
+
}]
|
| 569 |
+
}]
|
| 570 |
+
},
|
| 571 |
+
});
|
| 572 |
+
|
| 573 |
+
if (AppLib.environment.quadd_standalone)
|
| 574 |
+
{
|
| 575 |
+
addPlugin({
|
| 576 |
+
pluginDependencies: ["CorePlugin"],
|
| 577 |
+
pluginLibrary: "QuadDPlugin",
|
| 578 |
+
|
| 579 |
+
layouts: {
|
| 580 |
+
"default": "Plugins/$$/default.layout",
|
| 581 |
+
},
|
| 582 |
+
|
| 583 |
+
hostApplication: {
|
| 584 |
+
title: qsTr("NVIDIA Nsight Systems"),
|
| 585 |
+
defaultWidth: 1366,
|
| 586 |
+
defaultHeight: 768,
|
| 587 |
+
icon: ":/icons/Product.ico",
|
| 588 |
+
docs: "http://docs.nvidia.com/nsight-systems/index.html",
|
| 589 |
+
offlineDocs: "documentation/index.html",
|
| 590 |
+
crashReporterHideStack: true,
|
| 591 |
+
|
| 592 |
+
productName: "NVIDIA Nsight Systems",
|
| 593 |
+
organizationName: "NVIDIA Corporation",
|
| 594 |
+
|
| 595 |
+
versionUpdates: {
|
| 596 |
+
enabled: true,
|
| 597 |
+
tableUrl: "https://developer.download.nvidia.com/NsightSystems/VersionUpgrades.json",
|
| 598 |
+
},
|
| 599 |
+
|
| 600 |
+
commandBars: {
|
| 601 |
+
"$$.FileMenu": { order: 100 },
|
| 602 |
+
"$$.ViewMenu": { order: 200 },
|
| 603 |
+
"CorePlugin.ToolsMenu": { order: 300 },
|
| 604 |
+
"$$.HelpMenu": { order: 9999 },
|
| 605 |
+
},
|
| 606 |
+
},
|
| 607 |
+
|
| 608 |
+
commandLineOptions:
|
| 609 |
+
{
|
| 610 |
+
"operation":
|
| 611 |
+
{
|
| 612 |
+
name: "operation",
|
| 613 |
+
description: "Operation performed with the project",
|
| 614 |
+
valueName: "operation",
|
| 615 |
+
},
|
| 616 |
+
"project-uuid":
|
| 617 |
+
{
|
| 618 |
+
name: "project-uuid",
|
| 619 |
+
description: "UUID of the project which should be opened or created",
|
| 620 |
+
valueName: "project-uuid",
|
| 621 |
+
},
|
| 622 |
+
"working-dir":
|
| 623 |
+
{
|
| 624 |
+
name: "working-dir",
|
| 625 |
+
description: "Working directory of the profiled application",
|
| 626 |
+
valueName: "working-dir",
|
| 627 |
+
},
|
| 628 |
+
"target-path":
|
| 629 |
+
{
|
| 630 |
+
name: "target-path",
|
| 631 |
+
description: "Path to the main binary of the profiled application",
|
| 632 |
+
valueName: "target-path",
|
| 633 |
+
},
|
| 634 |
+
"target-environment":
|
| 635 |
+
{
|
| 636 |
+
name: "target-environment",
|
| 637 |
+
description: "Environment to the profiled application",
|
| 638 |
+
valueName: "target-path",
|
| 639 |
+
},
|
| 640 |
+
"start-args":
|
| 641 |
+
{
|
| 642 |
+
name: "start-args",
|
| 643 |
+
description: "Arguments passed to the profiled application",
|
| 644 |
+
valueName: "start-args",
|
| 645 |
+
},
|
| 646 |
+
"solution-path":
|
| 647 |
+
{
|
| 648 |
+
name: "solution-path",
|
| 649 |
+
description: "Path of the profiled application's Visual Studio solution",
|
| 650 |
+
valueName: "solution-path",
|
| 651 |
+
},
|
| 652 |
+
"secondary-instance-working-directory":
|
| 653 |
+
{
|
| 654 |
+
name: "secondary-instance-working-directory",
|
| 655 |
+
description: "The current directory from which a secondary instance of application started.",
|
| 656 |
+
valueName: "secondary-instance-working-directory",
|
| 657 |
+
},
|
| 658 |
+
"screenshot":
|
| 659 |
+
{
|
| 660 |
+
name: "screenshot",
|
| 661 |
+
description: "Take a screenshot of the loaded report and quit",
|
| 662 |
+
},
|
| 663 |
+
"$$.SingleProcess":
|
| 664 |
+
{
|
| 665 |
+
name: "single-process",
|
| 666 |
+
description: "Use single-process mode for QtWebEngine.",
|
| 667 |
+
},
|
| 668 |
+
"fullscreen":
|
| 669 |
+
{
|
| 670 |
+
name: "fullscreen",
|
| 671 |
+
description: "Open the main window in fullscreen mode",
|
| 672 |
+
}
|
| 673 |
+
},
|
| 674 |
+
|
| 675 |
+
documents:
|
| 676 |
+
{
|
| 677 |
+
fileTypes:
|
| 678 |
+
{
|
| 679 |
+
"etl":
|
| 680 |
+
{
|
| 681 |
+
icon: "",
|
| 682 |
+
factoryName: "ImportStreamFactory",
|
| 683 |
+
viewFactories:
|
| 684 |
+
[
|
| 685 |
+
{ factoryName: "ImportStreamWindowFactory", priority: 50 }
|
| 686 |
+
]
|
| 687 |
+
},
|
| 688 |
+
"qdresolve":
|
| 689 |
+
{
|
| 690 |
+
icon: "",
|
| 691 |
+
factoryName: "ResolveSymbolsFactory",
|
| 692 |
+
viewFactories:
|
| 693 |
+
[
|
| 694 |
+
{ factoryName: "ResolveSymbolsWindowFactory", priority: 50 }
|
| 695 |
+
]
|
| 696 |
+
},
|
| 697 |
+
"qdexport":
|
| 698 |
+
{
|
| 699 |
+
icon: "",
|
| 700 |
+
factoryName: "ExportSelectorFactory",
|
| 701 |
+
viewFactories:
|
| 702 |
+
[
|
| 703 |
+
{ factoryName: "ExportSelectorWindowFactory", priority: 50 }
|
| 704 |
+
]
|
| 705 |
+
},
|
| 706 |
+
},
|
| 707 |
+
|
| 708 |
+
fileFilters: {
|
| 709 |
+
"Nsight Systems Projects": { extensions: ["qdproj"], sortPriority: 50 },
|
| 710 |
+
}
|
| 711 |
+
},
|
| 712 |
+
|
| 713 |
+
toolWindows: {
|
| 714 |
+
"$$.ProjectExplorerWindow": {
|
| 715 |
+
text: qsTr("Project Explorer"),
|
| 716 |
+
sizeMode: "percent",
|
| 717 |
+
deleteOnClose: true,
|
| 718 |
+
layout: "dockWest",
|
| 719 |
+
isFixed: false,
|
| 720 |
+
persistable: true,
|
| 721 |
+
defaultWidth: 250,
|
| 722 |
+
commandBars: {
|
| 723 |
+
},
|
| 724 |
+
}
|
| 725 |
+
},
|
| 726 |
+
|
| 727 |
+
commands: {
|
| 728 |
+
"$$.RestoreDefaultLayout": {
|
| 729 |
+
text: qsTr("&Restore Default Layout"),
|
| 730 |
+
},
|
| 731 |
+
"$$.SaveLayout": {
|
| 732 |
+
text: qsTr("Save Layout"),
|
| 733 |
+
shortcut: codeTr("Alt+Shift+S"),
|
| 734 |
+
},
|
| 735 |
+
"$$.NewProject": {
|
| 736 |
+
text: qsTr("&New Project"),
|
| 737 |
+
shortcut: codeTr("Ctrl+N"),
|
| 738 |
+
},
|
| 739 |
+
"$$.NewMultiReportView": {
|
| 740 |
+
text: qsTr("&New multi-report view"),
|
| 741 |
+
},
|
| 742 |
+
"$$.OpenFile": {
|
| 743 |
+
text: qsTr("&Open..."),
|
| 744 |
+
shortcut: codeTr("Ctrl+O"),
|
| 745 |
+
},
|
| 746 |
+
"$$.Import": {
|
| 747 |
+
text: qsTr("&Import..."),
|
| 748 |
+
shortcut: codeTr("Ctrl+I"),
|
| 749 |
+
},
|
| 750 |
+
"$$.Export": {
|
| 751 |
+
text: qsTr("&Export..."),
|
| 752 |
+
shortcut: codeTr("Ctrl+E"),
|
| 753 |
+
},
|
| 754 |
+
"$$.ShowProjectExplorer": {
|
| 755 |
+
text: qsTr("&Show Project Explorer"),
|
| 756 |
+
checkedWithFlags: [states.ShowProjectExplorer],
|
| 757 |
+
},
|
| 758 |
+
"$$.OfflineDocumentationCommand": {
|
| 759 |
+
text: qsTr("Offline Documentation..."),
|
| 760 |
+
},
|
| 761 |
+
"$$.ShowAboutWindow": {
|
| 762 |
+
text: qsTr("&About"),
|
| 763 |
+
},
|
| 764 |
+
"$$.ShowRebelDialog": {
|
| 765 |
+
text: qsTr("&Settings to Analyze CUDA Kernels..."),
|
| 766 |
+
},
|
| 767 |
+
"$$.ShowPreferencesWindow": {
|
| 768 |
+
text: qsTr("&Preferences..."),
|
| 769 |
+
},
|
| 770 |
+
},
|
| 771 |
+
|
| 772 |
+
commandGroups: {
|
| 773 |
+
"$$.ProjectGroup": {
|
| 774 |
+
"$$.NewProject": { order: 100 },
|
| 775 |
+
"$$.NewMultiReportView": { order: 110 },
|
| 776 |
+
"$$.OpenFile": { order: 200 },
|
| 777 |
+
"$$.Import": { order: 300 },
|
| 778 |
+
"$$.Export": { order: 400 },
|
| 779 |
+
},
|
| 780 |
+
"$$.FileGroup": {
|
| 781 |
+
"CorePlugin.SaveFile": { order: 120 },
|
| 782 |
+
"CorePlugin.CloseFile": { order: 150 },
|
| 783 |
+
},
|
| 784 |
+
"$$.ViewToolWindowsGroup": {
|
| 785 |
+
"$$.ShowProjectExplorer": { order: 100 },
|
| 786 |
+
},
|
| 787 |
+
"$$.DocumentationGroup": {
|
| 788 |
+
"CorePlugin.DocumentationCommand": { order: 100 },
|
| 789 |
+
"$$.OfflineDocumentationCommand": { order: 150 },
|
| 790 |
+
"CorePlugin.CheckForUpdatesCommand": {order: 200},
|
| 791 |
+
},
|
| 792 |
+
"$$.AboutGroup": {
|
| 793 |
+
"$$.ShowAboutWindow": { order: 100 },
|
| 794 |
+
},
|
| 795 |
+
"$$.RebelPreferencesGroup": {
|
| 796 |
+
"$$.ShowRebelDialog": { order: 100 },
|
| 797 |
+
},
|
| 798 |
+
"$$.LayoutGroup": {
|
| 799 |
+
"$$.RestoreDefaultLayout": { order: 110 },
|
| 800 |
+
"$$.SaveLayout": { order: 120 },
|
| 801 |
+
"CorePlugin.ApplyWindowLayout": { order: 130 },
|
| 802 |
+
}
|
| 803 |
+
},
|
| 804 |
+
|
| 805 |
+
commandBars: {
|
| 806 |
+
"$$.FileMenu": {
|
| 807 |
+
type: "menu",
|
| 808 |
+
text: qsTr("&File"),
|
| 809 |
+
commandGroups: {
|
| 810 |
+
"$$.ProjectGroup": { order: 100 },
|
| 811 |
+
"$$.FileGroup": { order: 150 },
|
| 812 |
+
"CorePlugin.ExitGroup": { order: 200 },
|
| 813 |
+
},
|
| 814 |
+
},
|
| 815 |
+
"$$.ViewMenu": {
|
| 816 |
+
type: "menu",
|
| 817 |
+
text: qsTr("&View"),
|
| 818 |
+
commandGroups: {
|
| 819 |
+
"$$.ViewToolWindowsGroup": { order: 100 },
|
| 820 |
+
"$$.LayoutGroup": { order: 210 },
|
| 821 |
+
},
|
| 822 |
+
},
|
| 823 |
+
"$$.HelpMenu": {
|
| 824 |
+
type: "menu",
|
| 825 |
+
text: qsTr("&Help"),
|
| 826 |
+
commandGroups: {
|
| 827 |
+
"$$.DocumentationGroup": { order: 100 },
|
| 828 |
+
"CorePlugin.FeedbackGroup": { order: 120 },
|
| 829 |
+
"$$.AboutGroup": { order: 130 },
|
| 830 |
+
},
|
| 831 |
+
},
|
| 832 |
+
"CorePlugin.ToolsMenu": {
|
| 833 |
+
type: "menu",
|
| 834 |
+
text: qsTr("&Tools"),
|
| 835 |
+
commandGroups: {
|
| 836 |
+
"$$.RebelPreferencesGroup": { order: 130 },
|
| 837 |
+
},
|
| 838 |
+
},
|
| 839 |
+
|
| 840 |
+
feedback: {
|
| 841 |
+
mailingAddress: "nsight-systems-feedback@exchange.nvidia.com",
|
| 842 |
+
},
|
| 843 |
+
},
|
| 844 |
+
|
| 845 |
+
settings: {
|
| 846 |
+
// TODO (DTSP-2632): This is a workaround for this problem:
|
| 847 |
+
// http://devtools-ru-s1.nvidia.com/gitlab/agora/quadd/merge_requests/4647#note_90779
|
| 848 |
+
"CorePlugin.Privacy": {
|
| 849 |
+
properties: {
|
| 850 |
+
"CorePlugin.AllowAnalytics": {
|
| 851 |
+
category: qsTr("Help Improve NVIDIA Software "),
|
| 852 |
+
}
|
| 853 |
+
}
|
| 854 |
+
},
|
| 855 |
+
}
|
| 856 |
+
});
|
| 857 |
+
}
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/Plugins/QuadDPlugin/default.layout
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"floating": [
|
| 3 |
+
],
|
| 4 |
+
"id": "NvidiaDockingLayout",
|
| 5 |
+
"root": {
|
| 6 |
+
"left": {
|
| 7 |
+
"contents": {
|
| 8 |
+
"docklocation": 5,
|
| 9 |
+
"lastfloatingheight": -1,
|
| 10 |
+
"lastfloatingwidth": -1,
|
| 11 |
+
"persistable": true,
|
| 12 |
+
"uuid": "{4a8e3fd9-6d0a-47f0-8254-d3fff5ba2ec9}",
|
| 13 |
+
"windowtype": "QuadDPlugin.ProjectExplorerWindow"
|
| 14 |
+
},
|
| 15 |
+
"type": "dock"
|
| 16 |
+
},
|
| 17 |
+
"orientation": "horizontal",
|
| 18 |
+
"right": {
|
| 19 |
+
"contents": {
|
| 20 |
+
"docklocation": 4,
|
| 21 |
+
"lastfloatingheight": -1,
|
| 22 |
+
"lastfloatingwidth": -1,
|
| 23 |
+
"persistable": true,
|
| 24 |
+
"uuid": "{c7a94feb-a010-55b2-ab7d-73eb3ab0c077}",
|
| 25 |
+
"windowtype": "CorePlugin.DocumentsWindow"
|
| 26 |
+
},
|
| 27 |
+
"type": "dock"
|
| 28 |
+
},
|
| 29 |
+
"split_sizes": "309 1052",
|
| 30 |
+
"type": "split"
|
| 31 |
+
},
|
| 32 |
+
"version": 1
|
| 33 |
+
}
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/Plugins/TimelinePlugin/Manifest.js
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
addPlugin({
|
| 2 |
+
pluginDependencies: ["CorePlugin"],
|
| 3 |
+
pluginLibrary: "TimelinePlugin",
|
| 4 |
+
|
| 5 |
+
settings: {
|
| 6 |
+
"$$.TimelineSettings": {
|
| 7 |
+
text: qsTr("Timeline"),
|
| 8 |
+
visible: true,
|
| 9 |
+
|
| 10 |
+
// IMPORTANT: if you want to declare other settings group as a
|
| 11 |
+
// child of this element, the child must have order > 300,
|
| 12 |
+
//otherwise it will not appear in Tools/Options dialog
|
| 13 |
+
order: 300,
|
| 14 |
+
|
| 15 |
+
properties: {
|
| 16 |
+
"$$.ShowCorrelationArrows": {
|
| 17 |
+
order: 130,
|
| 18 |
+
type: "bool",
|
| 19 |
+
category: qsTr("Basic settings"),
|
| 20 |
+
text: qsTr("Show correlation arrows"),
|
| 21 |
+
detailsText: qsTr("Show arrows on correlated items on the Timeline"),
|
| 22 |
+
defaultValue: true
|
| 23 |
+
},
|
| 24 |
+
}
|
| 25 |
+
}
|
| 26 |
+
}
|
| 27 |
+
})
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/Plugins/TimelinePlugin/TimelinePlugin.dll
ADDED
|
Binary file (27.2 kB). View file
|
|
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/Plugins/imageformats/qgif.dll
ADDED
|
Binary file (48.8 kB). View file
|
|
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/Plugins/imageformats/qico.dll
ADDED
|
Binary file (47.2 kB). View file
|
|
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/Plugins/imageformats/qsvg.dll
ADDED
|
Binary file (40.1 kB). View file
|
|
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/Plugins/imageformats/qtga.dll
ADDED
|
Binary file (39.1 kB). View file
|
|
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/Plugins/imageformats/qwbmp.dll
ADDED
|
Binary file (37.5 kB). View file
|
|
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/Plugins/tls/qcertonlybackend.dll
ADDED
|
Binary file (99 kB). View file
|
|
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/PythonNvtx/annotations.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"_comment": ["Minimal annotations example",
|
| 4 |
+
"Note that module's name must include parent packages"],
|
| 5 |
+
|
| 6 |
+
"module": "torch.nn.functional",
|
| 7 |
+
"functions": ["sigmoid"]
|
| 8 |
+
},
|
| 9 |
+
|
| 10 |
+
{
|
| 11 |
+
"_comment": "Set custom attributes - domain, category, color",
|
| 12 |
+
|
| 13 |
+
"domain": "My Domain",
|
| 14 |
+
"category": "My Category",
|
| 15 |
+
"color": "0x008000",
|
| 16 |
+
"module": "torch.nn.functional",
|
| 17 |
+
"functions": ["sigmoid"]
|
| 18 |
+
},
|
| 19 |
+
|
| 20 |
+
{
|
| 21 |
+
"_comment": [
|
| 22 |
+
"More complex example:",
|
| 23 |
+
"- Attributes can be overridden per function",
|
| 24 |
+
"- Methods can also be annotated (Adadelta.step)"
|
| 25 |
+
],
|
| 26 |
+
|
| 27 |
+
"module": "torch.nn.functional",
|
| 28 |
+
"domain": "More complex example",
|
| 29 |
+
"category": "functional",
|
| 30 |
+
"color": "0x008000",
|
| 31 |
+
"functions": [
|
| 32 |
+
"sigmoid",
|
| 33 |
+
{"function": "log_softmax", "color": "0xFF0000"},
|
| 34 |
+
{"function": "Adadelta.step", "color": "0x800080", "module": "torch.optim.adadelta", "domain": "optim"}
|
| 35 |
+
]
|
| 36 |
+
}
|
| 37 |
+
]
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/Scripts/Flamegraph/README.md
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Nsight Systems flamegraph adapter
|
| 2 |
+
|
| 3 |
+
Script for parsing Nsight Systems report files containing CPU call stacks and producing an output suitable for `flamegraph.pl`.
|
| 4 |
+
|
| 5 |
+
## Install FlameGraph
|
| 6 |
+
|
| 7 |
+
To visualize with FlameGraph call stack download `flamegraph.pl` from the [flamegraph repository](https://github.com/brendangregg/FlameGraph).
|
| 8 |
+
|
| 9 |
+
### On Windows
|
| 10 |
+
|
| 11 |
+
To use `flamegraph.pl` on Windows, you will need to [install Perl](https://www.perl.org/get.html).
|
| 12 |
+
|
| 13 |
+
## Function names
|
| 14 |
+
|
| 15 |
+
By default, script tries to shorten function definitions (eliminating return type, arguments and templates). In some complex cases shortening may fail and return a full function definition. To disable shortening defining `--full_function_names=False` argument can be used.
|
| 16 |
+
|
| 17 |
+
## Usage
|
| 18 |
+
|
| 19 |
+
Generating flamegraph from Nsight Systems report file:
|
| 20 |
+
|
| 21 |
+
### Unix
|
| 22 |
+
|
| 23 |
+
```bash
|
| 24 |
+
python3 stackcollapse_nsys.py report.nsys-rep | ./flamegraph.pl > result_flamegraph.svg
|
| 25 |
+
```
|
| 26 |
+
|
| 27 |
+
### Windows
|
| 28 |
+
|
| 29 |
+
```bash
|
| 30 |
+
PowerShell -Command "python stackcollapse_nsys.py report.nsys-rep | perl flamegraph.pl > result_flamegraph.svg"
|
| 31 |
+
```
|
| 32 |
+
|
| 33 |
+
### Parameters
|
| 34 |
+
|
| 35 |
+
The following parameters can be passed to the script:
|
| 36 |
+
|
| 37 |
+
| Parameter | Short | Description | Default value |
|
| 38 |
+
| --------------------- | ----- | ------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------- |
|
| 39 |
+
| --nsys | | Path to the NVIDIA Nsight Systems CLI directory (for ex.: `/opt/nvidia/nsight-systems/2022.4.1/target-linux-x64`). | Current NVIDIA Nsight Systems CLI installation location |
|
| 40 |
+
| --out | -o | Path to a result file containing a data suitable for `flamegraph.pl`. | Output is written to stdout |
|
| 41 |
+
| --full_function_names | | Use full function names with return type, arguments and expanded templates, if available. | False |
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/Scripts/Flamegraph/stackcollapse_nsys.py
ADDED
|
@@ -0,0 +1,448 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
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|
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|
|
|
|
|
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|
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|
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|
| 1 |
+
#! /usr/bin/env python3
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import argparse
|
| 14 |
+
import os
|
| 15 |
+
import re
|
| 16 |
+
import sqlite3
|
| 17 |
+
import subprocess
|
| 18 |
+
import sys
|
| 19 |
+
import tempfile
|
| 20 |
+
from pathlib import Path
|
| 21 |
+
|
| 22 |
+
NSYS_CLI_BINARY_NAME = "nsys.exe" if os.name == "nt" else "nsys"
|
| 23 |
+
|
| 24 |
+
SELECT_CALLCHAIN_TABLE_EXISTENCE = """
|
| 25 |
+
SELECT
|
| 26 |
+
count(name)
|
| 27 |
+
FROM
|
| 28 |
+
sqlite_master
|
| 29 |
+
WHERE
|
| 30 |
+
type='table' AND name = 'sampling_callchains'
|
| 31 |
+
COLLATE NOCASE
|
| 32 |
+
"""
|
| 33 |
+
|
| 34 |
+
SELECT_CALLSTACKS = """
|
| 35 |
+
WITH usage(id, cycles) AS
|
| 36 |
+
(
|
| 37 |
+
SELECT
|
| 38 |
+
sc.id,
|
| 39 |
+
SUM(cpucycles) AS cycles
|
| 40 |
+
FROM
|
| 41 |
+
sampling_callchains sc
|
| 42 |
+
LEFT JOIN
|
| 43 |
+
composite_events se
|
| 44 |
+
ON sc.id == se.id
|
| 45 |
+
WHERE
|
| 46 |
+
sc.stackdepth == 0
|
| 47 |
+
GROUP BY
|
| 48 |
+
sc.symbol,
|
| 49 |
+
sc.module
|
| 50 |
+
)
|
| 51 |
+
SELECT
|
| 52 |
+
GROUP_CONCAT(value, ';') || ' ' || cycles
|
| 53 |
+
FROM
|
| 54 |
+
(
|
| 55 |
+
SELECT
|
| 56 |
+
si.value,
|
| 57 |
+
sc.id,
|
| 58 |
+
u.cycles
|
| 59 |
+
FROM
|
| 60 |
+
usage u
|
| 61 |
+
INNER JOIN
|
| 62 |
+
sampling_callchains sc
|
| 63 |
+
ON sc.id = u.id
|
| 64 |
+
INNER JOIN
|
| 65 |
+
stringids AS si
|
| 66 |
+
ON sc.symbol == si.id
|
| 67 |
+
INNER JOIN
|
| 68 |
+
stringids AS sm
|
| 69 |
+
ON sc.module == sm.id
|
| 70 |
+
WHERE
|
| 71 |
+
si.value <> '[Max depth]'
|
| 72 |
+
ORDER BY
|
| 73 |
+
stackdepth DESC
|
| 74 |
+
)
|
| 75 |
+
GROUP BY
|
| 76 |
+
id
|
| 77 |
+
ORDER BY
|
| 78 |
+
cycles DESC
|
| 79 |
+
"""
|
| 80 |
+
|
| 81 |
+
|
| 82 |
+
REGEX_TYPE_MODIFIER = "(?:(?:(?:unsigned)|(?:signed)|(?:long)) *){0,2}"
|
| 83 |
+
REGEX_TYPE_SPECIFIER = "[ \*&]*(?:const)?[ \*&]*"
|
| 84 |
+
REGEX_IDENTIFIER = "(?:(?:[^\W\d]|~)(?:[^\W]|[<>\*&\[\]])*)"
|
| 85 |
+
|
| 86 |
+
REGEX_SPECIAL_IDENTIFIERS = "(?:\(anonymous namespace\))|(?:\{lambda\(\)#?\d*\})|(?:decltype ?\(\))"
|
| 87 |
+
|
| 88 |
+
REGEX_NON_SPEC_TYPE_IDENTIFIER = "(?:{type_modifier}{identifier})".format(
|
| 89 |
+
type_modifier=REGEX_TYPE_MODIFIER, identifier=REGEX_IDENTIFIER
|
| 90 |
+
)
|
| 91 |
+
REGEX_QUALIFIED_NON_SPEC_TYPE_IDENTIFIER = (
|
| 92 |
+
"{non_spec_type_id}{type_specifier}(?:::{non_spec_type_id}{type_specifier})*(?:(?:::)?)?".format(
|
| 93 |
+
non_spec_type_id=REGEX_NON_SPEC_TYPE_IDENTIFIER, type_specifier=REGEX_TYPE_SPECIFIER
|
| 94 |
+
)
|
| 95 |
+
)
|
| 96 |
+
|
| 97 |
+
OVERLOADED_OPERATORS_LIST = [
|
| 98 |
+
"+",
|
| 99 |
+
"-",
|
| 100 |
+
"*",
|
| 101 |
+
"/",
|
| 102 |
+
"%",
|
| 103 |
+
"^",
|
| 104 |
+
"&",
|
| 105 |
+
"|",
|
| 106 |
+
"~",
|
| 107 |
+
"!",
|
| 108 |
+
"=",
|
| 109 |
+
"<",
|
| 110 |
+
">",
|
| 111 |
+
"+=",
|
| 112 |
+
"-=",
|
| 113 |
+
"*=",
|
| 114 |
+
"/=",
|
| 115 |
+
"%=",
|
| 116 |
+
"^=",
|
| 117 |
+
"&=",
|
| 118 |
+
"|=",
|
| 119 |
+
"<<",
|
| 120 |
+
">>",
|
| 121 |
+
"<<=",
|
| 122 |
+
">>=",
|
| 123 |
+
"==",
|
| 124 |
+
"!=",
|
| 125 |
+
"<=",
|
| 126 |
+
">=",
|
| 127 |
+
"&&",
|
| 128 |
+
"||",
|
| 129 |
+
"++",
|
| 130 |
+
"--",
|
| 131 |
+
",",
|
| 132 |
+
"->*",
|
| 133 |
+
"->",
|
| 134 |
+
"()",
|
| 135 |
+
"[",
|
| 136 |
+
"]",
|
| 137 |
+
"new",
|
| 138 |
+
"delete",
|
| 139 |
+
"new[]",
|
| 140 |
+
"delete[]",
|
| 141 |
+
]
|
| 142 |
+
|
| 143 |
+
REGEX_OVERLOADED_OPERATORS_LIST = [re.escape(op) for op in OVERLOADED_OPERATORS_LIST]
|
| 144 |
+
REGEX_OPERATOR_OVERLOADS = "(?:" + ")|(?:".join(REGEX_OVERLOADED_OPERATORS_LIST) + ")"
|
| 145 |
+
REGEX_OPERATOR_IDENTIFIER = "(?:operator *(?:<>)?(?:{type_id}|(?:{operator_overloads}))?(?:<>)?)".format(
|
| 146 |
+
type_id=REGEX_QUALIFIED_NON_SPEC_TYPE_IDENTIFIER, operator_overloads=REGEX_OPERATOR_OVERLOADS
|
| 147 |
+
)
|
| 148 |
+
|
| 149 |
+
REGEX_TYPE_IDENTIFIER = "(?:{type_modifier}{identifier}|{special_ids}|{operator_id})".format(
|
| 150 |
+
type_modifier=REGEX_TYPE_MODIFIER,
|
| 151 |
+
identifier=REGEX_IDENTIFIER,
|
| 152 |
+
special_ids=REGEX_SPECIAL_IDENTIFIERS,
|
| 153 |
+
operator_id=REGEX_OPERATOR_IDENTIFIER,
|
| 154 |
+
)
|
| 155 |
+
REGEX_QUALIFIED_TYPE_IDENTIFIER = "{type_id}{type_specifier}(?:::{type_id}{type_specifier})*(?:(?:::)?)?".format(
|
| 156 |
+
type_id=REGEX_TYPE_IDENTIFIER, type_specifier=REGEX_TYPE_SPECIFIER
|
| 157 |
+
)
|
| 158 |
+
|
| 159 |
+
FUNCTION_NAME_DELIMITER = "(?:[ &\*>])"
|
| 160 |
+
FUNCTION_ARGUMENTS = "(?:\(\))?"
|
| 161 |
+
|
| 162 |
+
APPROXIMATE_FUNCTION_STRING = "^((?:(?:{type_specifier}{func_name_delimiter})?{qualified_type_id}(?:{func_name_delimiter}{type_specifier})?{func_name_delimiter}))?({qualified_type_id})(?:{func_arg}{type_specifier})?$".format(
|
| 163 |
+
qualified_type_id=REGEX_QUALIFIED_TYPE_IDENTIFIER,
|
| 164 |
+
func_name_delimiter=FUNCTION_NAME_DELIMITER,
|
| 165 |
+
func_arg=FUNCTION_ARGUMENTS,
|
| 166 |
+
type_specifier=REGEX_TYPE_SPECIFIER,
|
| 167 |
+
)
|
| 168 |
+
APPROXIMATE_FUNCTION_REGEX = re.compile(APPROXIMATE_FUNCTION_STRING, re.U)
|
| 169 |
+
|
| 170 |
+
|
| 171 |
+
def collapse_parentheses(str_, left_p, right_p):
|
| 172 |
+
"""Collapse everything between matching left_p and right_p (including collapsing of nested matches)
|
| 173 |
+
|
| 174 |
+
Args:
|
| 175 |
+
str_ (string): String to collapse.
|
| 176 |
+
left_p (string): Left delimiter
|
| 177 |
+
right_p (string): Right delimiter
|
| 178 |
+
|
| 179 |
+
Returns:
|
| 180 |
+
string: Collapsed string.
|
| 181 |
+
"""
|
| 182 |
+
shortened_str = ""
|
| 183 |
+
inner_value = ""
|
| 184 |
+
parentheses_lvl = 0
|
| 185 |
+
for c in str_:
|
| 186 |
+
if parentheses_lvl == 0 or (parentheses_lvl == 1 and c == right_p):
|
| 187 |
+
if c == right_p:
|
| 188 |
+
if inner_value == "anonymous namespace":
|
| 189 |
+
shortened_str += inner_value
|
| 190 |
+
inner_value = ""
|
| 191 |
+
shortened_str += c
|
| 192 |
+
|
| 193 |
+
if c == right_p:
|
| 194 |
+
parentheses_lvl -= 1
|
| 195 |
+
if parentheses_lvl == 1:
|
| 196 |
+
inner_value += c
|
| 197 |
+
if c == left_p:
|
| 198 |
+
parentheses_lvl += 1
|
| 199 |
+
return shortened_str
|
| 200 |
+
|
| 201 |
+
|
| 202 |
+
def shorten_function_name_approximately(full_function_def):
|
| 203 |
+
"""Try to shorten function name (in some cases shortening may fail and return the original filename).
|
| 204 |
+
|
| 205 |
+
Args:
|
| 206 |
+
full_function_def (string): Original filename.
|
| 207 |
+
|
| 208 |
+
Returns:
|
| 209 |
+
string: Shortened or full function name.
|
| 210 |
+
"""
|
| 211 |
+
prepared_function_def = collapse_parentheses(full_function_def, "(", ")")
|
| 212 |
+
prepared_function_def = collapse_parentheses(prepared_function_def, "<", ">")
|
| 213 |
+
prepared_function_def = collapse_parentheses(prepared_function_def, "[", "]")
|
| 214 |
+
prepared_function_def = re.sub(r"[\n\t\s]+", " ", prepared_function_def)
|
| 215 |
+
prepared_function_def = re.sub(r"([ \*\&>\}\)\]])const::", r"\1::", prepared_function_def)
|
| 216 |
+
prepared_function_def = re.sub(r"\(\) *::", "::", prepared_function_def)
|
| 217 |
+
m = re.search(APPROXIMATE_FUNCTION_REGEX, prepared_function_def)
|
| 218 |
+
# may be a function address or a complex function name
|
| 219 |
+
if not m:
|
| 220 |
+
return full_function_def
|
| 221 |
+
|
| 222 |
+
function_name = ""
|
| 223 |
+
if m.group(1) and m.group(1).find("operator") != -1 and m.group(2):
|
| 224 |
+
function_name = m.group(1) + " " + m.group(2)
|
| 225 |
+
function_name = re.sub(r"[\n\t\s]+", " ", function_name)
|
| 226 |
+
elif m.group(2):
|
| 227 |
+
function_name = m.group(2)
|
| 228 |
+
else:
|
| 229 |
+
function_name = full_function_def
|
| 230 |
+
return function_name
|
| 231 |
+
|
| 232 |
+
|
| 233 |
+
def shorten_func_names_approximately(flamegraph_row, full_function_names):
|
| 234 |
+
"""Try to shorten function names (in some cases shortening may fail and return the original filenames).
|
| 235 |
+
|
| 236 |
+
Args:
|
| 237 |
+
flamegraph_row (string): String suitable for flamegraph with original function names
|
| 238 |
+
full_function_names (string): Use full function names with return type, arguments and expanded templates, if available.
|
| 239 |
+
|
| 240 |
+
Returns:
|
| 241 |
+
list[string]: List of shortened or full function names.
|
| 242 |
+
"""
|
| 243 |
+
if full_function_names:
|
| 244 |
+
return flamegraph_row
|
| 245 |
+
flamegraph_parts = flamegraph_row.split(" ")
|
| 246 |
+
if len(flamegraph_parts) < 2:
|
| 247 |
+
return flamegraph_row
|
| 248 |
+
cycles_cnt = flamegraph_parts[-1]
|
| 249 |
+
full_function_defs = " ".join(flamegraph_parts[:-1]).split(";")
|
| 250 |
+
full_function_defs_wo_recursive = []
|
| 251 |
+
if len(full_function_defs) > 1:
|
| 252 |
+
prev_val = full_function_defs[0]
|
| 253 |
+
for val in full_function_defs[1:]:
|
| 254 |
+
if val != prev_val:
|
| 255 |
+
full_function_defs_wo_recursive.append(val)
|
| 256 |
+
else:
|
| 257 |
+
full_function_defs_wo_recursive = full_function_defs
|
| 258 |
+
|
| 259 |
+
flamegraph_row = ";".join(
|
| 260 |
+
[
|
| 261 |
+
shorten_function_name_approximately(full_function_def)
|
| 262 |
+
for full_function_def in full_function_defs_wo_recursive
|
| 263 |
+
]
|
| 264 |
+
)
|
| 265 |
+
|
| 266 |
+
flamegraph_row += " {}".format(cycles_cnt)
|
| 267 |
+
|
| 268 |
+
return flamegraph_row
|
| 269 |
+
|
| 270 |
+
|
| 271 |
+
def check_cpu_samples_exists(conn):
|
| 272 |
+
"""Check if CPU callstacks exist in SQLite database
|
| 273 |
+
|
| 274 |
+
Args:
|
| 275 |
+
conn: SQLite database connection
|
| 276 |
+
|
| 277 |
+
Returns:
|
| 278 |
+
bool: True if CPU callstacks exist in SQLite database
|
| 279 |
+
"""
|
| 280 |
+
c = conn.cursor()
|
| 281 |
+
c.execute(SELECT_CALLCHAIN_TABLE_EXISTENCE)
|
| 282 |
+
if c.fetchone()[0] == 1:
|
| 283 |
+
return True
|
| 284 |
+
|
| 285 |
+
return False
|
| 286 |
+
|
| 287 |
+
|
| 288 |
+
def convert_to_collapsed(sqlite_db_path, outfile_name, full_function_names):
|
| 289 |
+
"""Convert CPU callstacks from a SQLite database file to an output suitable for flamegraph.pl
|
| 290 |
+
|
| 291 |
+
Args:
|
| 292 |
+
sqlite_db_path (string): _description_
|
| 293 |
+
outfile_name (string): Path to a results file. If None or empty an output is written to stdout.
|
| 294 |
+
full_function_names (bool): Use full function names with return type, arguments and expanded templates, if available.
|
| 295 |
+
"""
|
| 296 |
+
with sqlite3.connect(sqlite_db_path) as conn:
|
| 297 |
+
if not check_cpu_samples_exists(conn):
|
| 298 |
+
sys.stderr.write("Report does not contain CPU samples. Folded output will not be generated.\n")
|
| 299 |
+
return
|
| 300 |
+
|
| 301 |
+
c = conn.cursor()
|
| 302 |
+
c.execute(SELECT_CALLSTACKS)
|
| 303 |
+
if outfile_name:
|
| 304 |
+
with open(outfile_name, "w", encoding="utf-8") as outfile:
|
| 305 |
+
for row in c:
|
| 306 |
+
outfile.write(shorten_func_names_approximately(row[0], full_function_names) + "\n")
|
| 307 |
+
else:
|
| 308 |
+
for row in c:
|
| 309 |
+
print(shorten_func_names_approximately(row[0], full_function_names))
|
| 310 |
+
|
| 311 |
+
|
| 312 |
+
def export_to_sqlite(nsys_target_bin_path, nsys_rep_path, sqlite_db_path):
|
| 313 |
+
"""Export Nsight Systems report to a SQLite database file
|
| 314 |
+
|
| 315 |
+
Args:
|
| 316 |
+
nsys_target_bin_path (string): Path to a target Nsight Systems binary.
|
| 317 |
+
nsys_rep_path (string): Path to a Nsight Systems report.
|
| 318 |
+
sqlite_db_path (string): Path to a SQLite database file.
|
| 319 |
+
|
| 320 |
+
Raises:
|
| 321 |
+
ChildProcessError
|
| 322 |
+
"""
|
| 323 |
+
popen = subprocess.Popen([nsys_target_bin_path, "export", "--type", "sqlite", "-o", sqlite_db_path, nsys_rep_path])
|
| 324 |
+
stdout, stderr = popen.communicate()
|
| 325 |
+
exit_code = popen.wait()
|
| 326 |
+
if exit_code != 0:
|
| 327 |
+
err_str = "Nsight Systems CLI export failed with exit code {}: {}\n{}".format(
|
| 328 |
+
exit_code, (stdout or b"").decode("utf-8", "ignore"), (stderr or b"").decode("utf-8", "ignore")
|
| 329 |
+
)
|
| 330 |
+
print(err_str)
|
| 331 |
+
raise ChildProcessError(err_str)
|
| 332 |
+
|
| 333 |
+
|
| 334 |
+
def get_arm_type_target_path_part(arch):
|
| 335 |
+
"""Get the folder name part identifying the current supported armv8 arch (SBSA or tegra)
|
| 336 |
+
|
| 337 |
+
Args:
|
| 338 |
+
arch (string): Current architecture
|
| 339 |
+
|
| 340 |
+
Returns:
|
| 341 |
+
string: "-sbsa", "-tegra" or ""
|
| 342 |
+
"""
|
| 343 |
+
if arch != "armv8":
|
| 344 |
+
return ""
|
| 345 |
+
|
| 346 |
+
tegra_check_popen = subprocess.Popen(
|
| 347 |
+
"find /proc/device-tree/ -maxdepth 1 -name 'tegra*' || echo ERROR",
|
| 348 |
+
shell=True,
|
| 349 |
+
stdout=subprocess.PIPE,
|
| 350 |
+
stderr=subprocess.STDOUT,
|
| 351 |
+
)
|
| 352 |
+
tegra_check_output, _ = tegra_check_popen.communicate()
|
| 353 |
+
if (tegra_check_output or b"").decode("utf-8", "ignore").startswith("/"):
|
| 354 |
+
return "-tegra"
|
| 355 |
+
|
| 356 |
+
sbsa_check_popen = subprocess.Popen(
|
| 357 |
+
"lsmod | grep 'nvidia' || echo ERROR", shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT
|
| 358 |
+
)
|
| 359 |
+
sbsa_check_output, _ = sbsa_check_popen.communicate()
|
| 360 |
+
if (sbsa_check_output or b"").decode("utf-8", "ignore").startswith("nvidia"):
|
| 361 |
+
return "-sbsa"
|
| 362 |
+
|
| 363 |
+
return ""
|
| 364 |
+
|
| 365 |
+
|
| 366 |
+
def get_target_bin_path(nsys_target_bin_path_arg):
|
| 367 |
+
"""Try to retrieve a Nsight Systems CLI path from argument (if it exists) or from the default installation path.
|
| 368 |
+
Args:
|
| 369 |
+
nsys_target_bin_path_arg (string): User path to the Nsight Systems CLI binary
|
| 370 |
+
|
| 371 |
+
Raises:
|
| 372 |
+
FileNotFoundError: Nsight Systems CLI not found
|
| 373 |
+
|
| 374 |
+
Returns:
|
| 375 |
+
string: Path to the Nsight Systems CLI binary.
|
| 376 |
+
"""
|
| 377 |
+
|
| 378 |
+
if nsys_target_bin_path_arg:
|
| 379 |
+
nsys_target_search_path = Path(nsys_target_bin_path_arg) / NSYS_CLI_BINARY_NAME
|
| 380 |
+
if nsys_target_search_path.is_file():
|
| 381 |
+
return str(nsys_target_search_path)
|
| 382 |
+
|
| 383 |
+
nsys_host_path = Path(__file__).resolve().parent.parent.parent
|
| 384 |
+
nsys_host_folder_name = nsys_host_path.name
|
| 385 |
+
nsys_host_folder_name_parts = nsys_host_folder_name.split("-")
|
| 386 |
+
nsys_target_path = None
|
| 387 |
+
if len(nsys_host_folder_name_parts) == 3:
|
| 388 |
+
host_os = nsys_host_folder_name_parts[1]
|
| 389 |
+
# assume actual host architecture
|
| 390 |
+
host_arch = nsys_host_folder_name_parts[2]
|
| 391 |
+
nsys_target_folder_name = "target-" + host_os + get_arm_type_target_path_part(host_arch) + "-" + host_arch
|
| 392 |
+
nsys_target_search_path = nsys_host_path.parent / nsys_target_folder_name / NSYS_CLI_BINARY_NAME
|
| 393 |
+
if nsys_target_search_path.is_file():
|
| 394 |
+
nsys_target_path = str(nsys_target_search_path)
|
| 395 |
+
|
| 396 |
+
if not nsys_target_path:
|
| 397 |
+
raise FileNotFoundError(
|
| 398 |
+
"Nsight Systems CLI binary (nsys) not found."
|
| 399 |
+
'Use "--nsys" argument to set an Nsight Systems CLI binary path.'
|
| 400 |
+
)
|
| 401 |
+
return nsys_target_path
|
| 402 |
+
|
| 403 |
+
|
| 404 |
+
def collapse_callstacks(nsys_target_bin_path, nsys_rep_path, outfile_name, full_function_names):
|
| 405 |
+
"""Export CPU callstacks from a Nsight Systems report file to a SQLite database and
|
| 406 |
+
convert them to an output suitable for flamegraph.pl
|
| 407 |
+
|
| 408 |
+
Args:
|
| 409 |
+
nsys_target_bin_path (string): Path to a Nsight Systems CLI directory.
|
| 410 |
+
nsys_rep_path (string): Path to a Nsight Systems report.
|
| 411 |
+
outfile_name (string): Path to a results file. If None or empty an output is written to stdout.
|
| 412 |
+
full_function_names (bool): Use full function names with return type, arguments and expanded templates, if available.
|
| 413 |
+
"""
|
| 414 |
+
with tempfile.TemporaryDirectory() as tmp_dir:
|
| 415 |
+
sqlite_db_path = os.path.join(tmp_dir, "db.sqlite")
|
| 416 |
+
export_to_sqlite(nsys_target_bin_path, nsys_rep_path, sqlite_db_path)
|
| 417 |
+
convert_to_collapsed(sqlite_db_path, outfile_name, full_function_names)
|
| 418 |
+
|
| 419 |
+
|
| 420 |
+
if __name__ == "__main__":
|
| 421 |
+
parser = argparse.ArgumentParser(
|
| 422 |
+
description="Script for parsing Nsight Systems report files containing CPU call stacks and producing an output"
|
| 423 |
+
"suitable for flamegraph.pl."
|
| 424 |
+
)
|
| 425 |
+
parser.add_argument("--nsys", action="store", help="Path to the Nsight Systems CLI directory", required=False)
|
| 426 |
+
parser.add_argument(
|
| 427 |
+
"-o",
|
| 428 |
+
"--out",
|
| 429 |
+
action="store",
|
| 430 |
+
help="Path to the output file name (by default an output is written to stdout)",
|
| 431 |
+
)
|
| 432 |
+
parser.add_argument(
|
| 433 |
+
"--full_function_names",
|
| 434 |
+
default=False,
|
| 435 |
+
action="store_true",
|
| 436 |
+
help="Use full function names with return type, arguments and expanded "
|
| 437 |
+
"templates, if available (default: false).",
|
| 438 |
+
)
|
| 439 |
+
parser.add_argument("nsys_rep_file", help="Nsight Systems report file path")
|
| 440 |
+
args = parser.parse_args()
|
| 441 |
+
|
| 442 |
+
custom_outfile_name = None
|
| 443 |
+
if "out" in args and args.out:
|
| 444 |
+
custom_outfile_name = args.out
|
| 445 |
+
|
| 446 |
+
collapse_callstacks(
|
| 447 |
+
get_target_bin_path(args.nsys), args.nsys_rep_file, custom_outfile_name, args.full_function_names
|
| 448 |
+
)
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/python/lib/gpustats.py
ADDED
|
@@ -0,0 +1,239 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# SPDX-FileCopyrightText: Copyright (c) 2021-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 2 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 3 |
+
#
|
| 4 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 5 |
+
# property and proprietary rights in and to this material, related
|
| 6 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 7 |
+
# disclosure or distribution of this material and related documentation
|
| 8 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 9 |
+
# its affiliates is strictly prohibited.
|
| 10 |
+
|
| 11 |
+
import nsysstats
|
| 12 |
+
|
| 13 |
+
# Used as intermediate class to create GPU operation tables including the profiling overhead.
|
| 14 |
+
class GPUOperation(nsysstats.ExpertSystemsReport):
|
| 15 |
+
query_union = """
|
| 16 |
+
UNION ALL
|
| 17 |
+
"""
|
| 18 |
+
|
| 19 |
+
def __init__(self, dbfile, args=[]):
|
| 20 |
+
super().__init__(dbfile, args)
|
| 21 |
+
|
| 22 |
+
self._gpu_ops_tables = {
|
| 23 |
+
"GPU_CUDA": self._query_cuda_gpu_ops(),
|
| 24 |
+
"GPU_VULKAN": self._query_vulkan_gpu_ops(),
|
| 25 |
+
"GPU_OPENGL": self._query_opengl_gpu_ops(),
|
| 26 |
+
"GPU_DX12": self._query_dx12_gpu_ops()
|
| 27 |
+
}
|
| 28 |
+
|
| 29 |
+
self._gpu_ops_tables = {key: value for key, value in self._gpu_ops_tables.items() if value is not None}
|
| 30 |
+
self._query_gpu_ops_union = ""
|
| 31 |
+
|
| 32 |
+
def query_gpu_ops_union(self):
|
| 33 |
+
return self._query_gpu_ops_union
|
| 34 |
+
|
| 35 |
+
def _select_gpu_ops_columns(self, table: str, api: str, global_id='globalPid', device_id='deviceId', context_id='contextId'):
|
| 36 |
+
query = """
|
| 37 |
+
SELECT
|
| 38 |
+
start,
|
| 39 |
+
end,
|
| 40 |
+
({GLOBAL_ID} >> 24) & 0x00FFFFFF AS pid,
|
| 41 |
+
{GLOBAL_ID} AS globalId,
|
| 42 |
+
{DEVICE_ID} AS deviceId,
|
| 43 |
+
{CONTEXT_ID} AS contextId,
|
| 44 |
+
'{API}' AS api
|
| 45 |
+
FROM
|
| 46 |
+
{TABLE}
|
| 47 |
+
WHERE
|
| 48 |
+
start > 0
|
| 49 |
+
"""
|
| 50 |
+
|
| 51 |
+
return query.format(
|
| 52 |
+
TABLE = table,
|
| 53 |
+
GLOBAL_ID = global_id,
|
| 54 |
+
DEVICE_ID = device_id,
|
| 55 |
+
CONTEXT_ID = context_id,
|
| 56 |
+
API = api
|
| 57 |
+
)
|
| 58 |
+
|
| 59 |
+
def _add_profiling_overhead(self, gpu_ops_table: str, overhead_condition='false'):
|
| 60 |
+
if self.table_exists('PROFILER_OVERHEAD'):
|
| 61 |
+
# Add the profiling overhead to the GPU operation table
|
| 62 |
+
# 1. CTE "range": Get [min(start), max(end)] for each deviceId/PID. It will be
|
| 63 |
+
# used as the clipping range for overheads.
|
| 64 |
+
# 2. CTE "overhead": Select the profiling overhead that we want to take into
|
| 65 |
+
# account.
|
| 66 |
+
# 3. Duplicate overhead rows for each deviceId/PID. This will create a deviceId
|
| 67 |
+
# column that is not initially in the PROFILER_OVERHEAD table.
|
| 68 |
+
# Note: a profiling overhead on one thread affects all GPUs of the same
|
| 69 |
+
# process.
|
| 70 |
+
# 4. The overhead rows are combined with GPU operation rows.
|
| 71 |
+
query_overhead = """
|
| 72 |
+
WITH
|
| 73 |
+
gpuops AS (
|
| 74 |
+
{TABLE}
|
| 75 |
+
),
|
| 76 |
+
range AS (
|
| 77 |
+
SELECT
|
| 78 |
+
min(start) AS start,
|
| 79 |
+
max(end) AS end,
|
| 80 |
+
pid,
|
| 81 |
+
globalId,
|
| 82 |
+
deviceId,
|
| 83 |
+
contextId,
|
| 84 |
+
api
|
| 85 |
+
FROM
|
| 86 |
+
gpuops
|
| 87 |
+
GROUP BY deviceId, pid
|
| 88 |
+
),
|
| 89 |
+
overheadID AS (
|
| 90 |
+
SELECT
|
| 91 |
+
id
|
| 92 |
+
FROM
|
| 93 |
+
StringIds
|
| 94 |
+
WHERE
|
| 95 |
+
{CONDITION}
|
| 96 |
+
),
|
| 97 |
+
overhead AS (
|
| 98 |
+
SELECT
|
| 99 |
+
po.start,
|
| 100 |
+
po.end,
|
| 101 |
+
(po.globalTid >> 24) & 0x00FFFFFF AS pid
|
| 102 |
+
FROM
|
| 103 |
+
PROFILER_OVERHEAD AS po
|
| 104 |
+
JOIN
|
| 105 |
+
overheadID AS co
|
| 106 |
+
ON co.id == po.nameId
|
| 107 |
+
)
|
| 108 |
+
SELECT
|
| 109 |
+
co.start,
|
| 110 |
+
co.end,
|
| 111 |
+
co.pid,
|
| 112 |
+
range.globalId,
|
| 113 |
+
range.deviceId,
|
| 114 |
+
range.contextId,
|
| 115 |
+
range.api
|
| 116 |
+
FROM
|
| 117 |
+
overhead AS co
|
| 118 |
+
JOIN
|
| 119 |
+
range
|
| 120 |
+
ON co.pid == range.pid
|
| 121 |
+
AND co.start > range.start
|
| 122 |
+
AND co.end < range.end
|
| 123 |
+
UNION ALL
|
| 124 |
+
SELECT
|
| 125 |
+
*
|
| 126 |
+
FROM
|
| 127 |
+
gpuops
|
| 128 |
+
"""
|
| 129 |
+
|
| 130 |
+
gpu_ops_table = query_overhead.format(
|
| 131 |
+
TABLE = gpu_ops_table,
|
| 132 |
+
CONDITION = overhead_condition
|
| 133 |
+
)
|
| 134 |
+
|
| 135 |
+
return gpu_ops_table
|
| 136 |
+
|
| 137 |
+
def _query_cuda_gpu_ops(self):
|
| 138 |
+
sub_queries = []
|
| 139 |
+
|
| 140 |
+
kernel = 'CUPTI_ACTIVITY_KIND_KERNEL'
|
| 141 |
+
memcpy = 'CUPTI_ACTIVITY_KIND_MEMCPY'
|
| 142 |
+
memset = 'CUPTI_ACTIVITY_KIND_MEMSET'
|
| 143 |
+
|
| 144 |
+
if self.table_exists(kernel):
|
| 145 |
+
sub_queries.append(self._select_gpu_ops_columns(kernel, 'cuda'))
|
| 146 |
+
|
| 147 |
+
if self.table_exists(memcpy):
|
| 148 |
+
sub_queries.append(self._select_gpu_ops_columns(memcpy, 'cuda'))
|
| 149 |
+
|
| 150 |
+
if self.table_exists(memset):
|
| 151 |
+
sub_queries.append(self._select_gpu_ops_columns(memset, 'cuda'))
|
| 152 |
+
|
| 153 |
+
if len(sub_queries) == 0:
|
| 154 |
+
return
|
| 155 |
+
|
| 156 |
+
ops = self.query_union.join(sub_queries)
|
| 157 |
+
overhead_condition = "value == 'CUDA profiling data flush overhead' \
|
| 158 |
+
OR value == 'CUDA profiling stop overhead' \
|
| 159 |
+
OR value == 'CUDA profiling overhead'"
|
| 160 |
+
return self._add_profiling_overhead(ops, overhead_condition)
|
| 161 |
+
|
| 162 |
+
def _query_vulkan_gpu_ops(self):
|
| 163 |
+
vulkan = 'VULKAN_WORKLOAD'
|
| 164 |
+
|
| 165 |
+
if not self.table_exists(vulkan):
|
| 166 |
+
return None
|
| 167 |
+
|
| 168 |
+
self.table_col_checks[vulkan] = \
|
| 169 |
+
{ 'gpu':
|
| 170 |
+
"{DBFILE} could not be analyzed due to missing 'gpu'."
|
| 171 |
+
" Please re-export the report file with a recent version of Nsight Systems." }
|
| 172 |
+
|
| 173 |
+
ops = self._select_gpu_ops_columns(vulkan, 'vulkan', 'globalTid', 'gpu')
|
| 174 |
+
return self._add_profiling_overhead(ops, "value == 'Vulkan profiling overhead'")
|
| 175 |
+
|
| 176 |
+
def _query_opengl_gpu_ops(self):
|
| 177 |
+
opengl = 'OPENGL_WORKLOAD'
|
| 178 |
+
|
| 179 |
+
if not self.table_exists(opengl):
|
| 180 |
+
return None
|
| 181 |
+
|
| 182 |
+
ops = self._select_gpu_ops_columns(opengl, 'opengl', 'globalTid', 'gpu')
|
| 183 |
+
return self._add_profiling_overhead(ops, "value == 'OpenGL profiling overhead'")
|
| 184 |
+
|
| 185 |
+
def _query_dx12_gpu_ops(self):
|
| 186 |
+
dx12 = 'DX12_WORKLOAD'
|
| 187 |
+
|
| 188 |
+
if not self.table_exists(dx12):
|
| 189 |
+
return None
|
| 190 |
+
|
| 191 |
+
self.table_col_checks[dx12] = \
|
| 192 |
+
{ 'gpu':
|
| 193 |
+
"{DBFILE} could not be analyzed due to missing 'gpu'."
|
| 194 |
+
" Please re-export the report file with a recent version of Nsight Systems."}
|
| 195 |
+
|
| 196 |
+
ops = self._select_gpu_ops_columns(dx12, 'dx12', 'globalTid', 'gpu', 'shortContextId')
|
| 197 |
+
return self._add_profiling_overhead(ops, "value == 'DX12 profiling overhead'")
|
| 198 |
+
|
| 199 |
+
# Creates the GPU operation view for each API and combines them into one.
|
| 200 |
+
# query_to_apply is a string query that needs to be applied to each GPU operation view
|
| 201 |
+
# before the union. It must contain a placeholder with 'GPU_TABLE' as named index.
|
| 202 |
+
def create_gpu_ops_view(self, query_to_apply=None):
|
| 203 |
+
tables_to_union = []
|
| 204 |
+
|
| 205 |
+
create_gpu_view = """
|
| 206 |
+
CREATE TEMP VIEW {TABLE} AS
|
| 207 |
+
{QUERY}
|
| 208 |
+
"""
|
| 209 |
+
|
| 210 |
+
query_gpu_ops = """
|
| 211 |
+
SELECT *
|
| 212 |
+
FROM {TABLE}
|
| 213 |
+
"""
|
| 214 |
+
|
| 215 |
+
for table_name, query in self._gpu_ops_tables.items():
|
| 216 |
+
if query_to_apply is not None:
|
| 217 |
+
query = query_to_apply.format(GPU_TABLE = query)
|
| 218 |
+
|
| 219 |
+
errmsg = self._execute_statement(
|
| 220 |
+
create_gpu_view.format(
|
| 221 |
+
TABLE = table_name,
|
| 222 |
+
QUERY = query
|
| 223 |
+
)
|
| 224 |
+
)
|
| 225 |
+
if errmsg != None:
|
| 226 |
+
return errmsg
|
| 227 |
+
|
| 228 |
+
tables_to_union.append(query_gpu_ops.format(TABLE = table_name))
|
| 229 |
+
|
| 230 |
+
self._query_gpu_ops_union = self.query_union.join(tables_to_union)
|
| 231 |
+
|
| 232 |
+
def setup(self):
|
| 233 |
+
if len(self._gpu_ops_tables) == 0:
|
| 234 |
+
return "{DBFILE} could not be analyzed because it does not contain the required data." \
|
| 235 |
+
" Does the application launch GPU operations?"
|
| 236 |
+
|
| 237 |
+
err = super().setup()
|
| 238 |
+
if err != None:
|
| 239 |
+
return err
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/python/lib/kernel_helper.py
ADDED
|
@@ -0,0 +1,188 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# SPDX-FileCopyrightText: Copyright (c) 2021-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 2 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 3 |
+
#
|
| 4 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 5 |
+
# property and proprietary rights in and to this material, related
|
| 6 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 7 |
+
# disclosure or distribution of this material and related documentation
|
| 8 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 9 |
+
# its affiliates is strictly prohibited.
|
| 10 |
+
|
| 11 |
+
EVENT_TYPE_NVTX_DOMAIN_CREATE = 75
|
| 12 |
+
EVENT_TYPE_NVTX_PUSHPOP_RANGE = 59
|
| 13 |
+
EVENT_TYPE_NVTX_STARTEND_RANGE = 60
|
| 14 |
+
EVENT_TYPE_NVTXT_PUSHPOP_RANGE = 70
|
| 15 |
+
EVENT_TYPE_NVTXT_STARTEND_RANGE = 71
|
| 16 |
+
|
| 17 |
+
CREATE_RUNTIME_RIDX_STATEMENTS = [
|
| 18 |
+
f"""
|
| 19 |
+
DROP TABLE IF EXISTS temp.NVTX_EVENTS_MINMAXTS
|
| 20 |
+
""",
|
| 21 |
+
|
| 22 |
+
f"""
|
| 23 |
+
CREATE TEMP TABLE NVTX_EVENTS_MINMAXTS
|
| 24 |
+
AS SELECT
|
| 25 |
+
min(min(start), min(end)) AS min,
|
| 26 |
+
max(max(start), max(end)) AS max
|
| 27 |
+
FROM main.NVTX_EVENTS
|
| 28 |
+
WHERE
|
| 29 |
+
eventType == {EVENT_TYPE_NVTX_PUSHPOP_RANGE}
|
| 30 |
+
OR eventType == {EVENT_TYPE_NVTX_STARTEND_RANGE}
|
| 31 |
+
OR eventType == {EVENT_TYPE_NVTXT_PUSHPOP_RANGE}
|
| 32 |
+
OR eventType == {EVENT_TYPE_NVTXT_STARTEND_RANGE}
|
| 33 |
+
""",
|
| 34 |
+
|
| 35 |
+
f"""
|
| 36 |
+
DROP TABLE IF EXISTS temp.NVTX_EVENTS_RIDX
|
| 37 |
+
""",
|
| 38 |
+
|
| 39 |
+
f"""
|
| 40 |
+
CREATE VIRTUAL TABLE temp.NVTX_EVENTS_RIDX
|
| 41 |
+
USING rtree (
|
| 42 |
+
rangeId,
|
| 43 |
+
startTS,
|
| 44 |
+
endTS,
|
| 45 |
+
+startNS INTEGER,
|
| 46 |
+
+endNS INTEGER,
|
| 47 |
+
+tid INTEGER,
|
| 48 |
+
+name TEXT,
|
| 49 |
+
)
|
| 50 |
+
""",
|
| 51 |
+
|
| 52 |
+
f"""
|
| 53 |
+
INSERT INTO temp.NVTX_EVENTS_RIDX
|
| 54 |
+
SELECT
|
| 55 |
+
e.rowid AS rangeId,
|
| 56 |
+
rtree_scale(e.start,
|
| 57 |
+
(SELECT min FROM temp.NVTX_EVENTS_MINMAXTS),
|
| 58 |
+
(SELECT max FROM temp.NVTX_EVENTS_MINMAXTS)) AS startTS,
|
| 59 |
+
rtree_scale(ifnull(e.end, (SELECT max FROM temp.NVTX_EVENTS_MINMAXTS)),
|
| 60 |
+
(SELECT min FROM temp.NVTX_EVENTS_MINMAXTS),
|
| 61 |
+
(SELECT max FROM temp.NVTX_EVENTS_MINMAXTS)) AS endTS,
|
| 62 |
+
e.start AS startNS,
|
| 63 |
+
ifnull(e.end, (SELECT max FROM temp.NVTX_EVENTS_MINMAXTS)) AS endNS,
|
| 64 |
+
e.globalTid AS tid,
|
| 65 |
+
COALESCE(sid.value, e.text) AS name
|
| 66 |
+
FROM
|
| 67 |
+
main.NVTX_EVENTS AS e
|
| 68 |
+
LEFT JOIN
|
| 69 |
+
StringIds AS sid
|
| 70 |
+
ON e.textId == sid.id
|
| 71 |
+
WHERE
|
| 72 |
+
(e.eventType == {EVENT_TYPE_NVTX_PUSHPOP_RANGE}
|
| 73 |
+
OR e.eventType == {EVENT_TYPE_NVTX_STARTEND_RANGE}
|
| 74 |
+
OR e.eventType == {EVENT_TYPE_NVTXT_PUSHPOP_RANGE}
|
| 75 |
+
OR e.eventType == {EVENT_TYPE_NVTXT_STARTEND_RANGE})
|
| 76 |
+
AND e.endGlobalTid IS NULL
|
| 77 |
+
""",
|
| 78 |
+
|
| 79 |
+
]
|
| 80 |
+
|
| 81 |
+
QUERY_NVTX_KERNEL_NAME = """
|
| 82 |
+
WITH
|
| 83 |
+
kernel AS (
|
| 84 |
+
{KERNEL_TABLE}
|
| 85 |
+
),
|
| 86 |
+
projection AS (
|
| 87 |
+
SELECT
|
| 88 |
+
kernel.rowid,
|
| 89 |
+
rt.name AS nvtxName,
|
| 90 |
+
max(rt.startNS) AS maxStart
|
| 91 |
+
FROM
|
| 92 |
+
kernel
|
| 93 |
+
LEFT JOIN
|
| 94 |
+
main.CUPTI_ACTIVITY_KIND_RUNTIME AS r
|
| 95 |
+
ON kernel.correlationId == r.correlationId
|
| 96 |
+
AND kernel.globalPid == (r.globalTid & 0xFFFFFFFFFF000000)
|
| 97 |
+
LEFT JOIN
|
| 98 |
+
temp.NVTX_EVENTS_RIDX AS rt
|
| 99 |
+
ON rt.startTS <= rtree_scale(r.start,
|
| 100 |
+
(SELECT min FROM temp.NVTX_EVENTS_MINMAXTS),
|
| 101 |
+
(SELECT max FROM temp.NVTX_EVENTS_MINMAXTS))
|
| 102 |
+
AND rt.endTS >= rtree_scale(r.end,
|
| 103 |
+
(SELECT min FROM temp.NVTX_EVENTS_MINMAXTS),
|
| 104 |
+
(SELECT max FROM temp.NVTX_EVENTS_MINMAXTS))
|
| 105 |
+
AND rt.startNS <= r.start
|
| 106 |
+
AND rt.endNS >= r.end
|
| 107 |
+
AND rt.tid == r.globalTid
|
| 108 |
+
GROUP BY kernel.rowid
|
| 109 |
+
)
|
| 110 |
+
SELECT
|
| 111 |
+
kernel.*,
|
| 112 |
+
COALESCE(nvtxName || '/' || kernelName, kernelName) AS name
|
| 113 |
+
FROM
|
| 114 |
+
kernel
|
| 115 |
+
JOIN
|
| 116 |
+
projection
|
| 117 |
+
ON kernel.rowid == projection.rowid
|
| 118 |
+
"""
|
| 119 |
+
|
| 120 |
+
QUERY_KERNEL_NAME = """
|
| 121 |
+
WITH
|
| 122 |
+
kernel AS (
|
| 123 |
+
{KERNEL_TABLE}
|
| 124 |
+
)
|
| 125 |
+
SELECT
|
| 126 |
+
*,
|
| 127 |
+
kernelName as name
|
| 128 |
+
FROM
|
| 129 |
+
kernel
|
| 130 |
+
"""
|
| 131 |
+
|
| 132 |
+
QUERY_KERNEL = """
|
| 133 |
+
SELECT
|
| 134 |
+
kernel.rowid,
|
| 135 |
+
kernel.*,
|
| 136 |
+
sid.value AS kernelName
|
| 137 |
+
FROM
|
| 138 |
+
CUPTI_ACTIVITY_KIND_KERNEL as kernel
|
| 139 |
+
LEFT JOIN
|
| 140 |
+
StringIds AS sid
|
| 141 |
+
ON sid.id == coalesce(kernel.{NAME_COL_NAME}, kernel.demangledName)
|
| 142 |
+
"""
|
| 143 |
+
|
| 144 |
+
# Create a temporary view named 'CUPTI_ACTIVITY_KIND_KERNEL_NAMED' by adding
|
| 145 |
+
# a new column 'name' to the 'CUPTI_ACTIVITY_KIND_KERNEL' table. This column
|
| 146 |
+
# gives the kernel string name, which can be either the base or mangled name,
|
| 147 |
+
# optionally prefixed by the corresponding NVTX range name based on the
|
| 148 |
+
# provided options.
|
| 149 |
+
def create_kernel_view(instance):
|
| 150 |
+
use_base = getattr(instance._parsed_args, 'base', False)
|
| 151 |
+
use_mangled = getattr(instance._parsed_args, 'mangled', False)
|
| 152 |
+
use_nvtx_name = getattr(instance._parsed_args, 'nvtx_name', False)
|
| 153 |
+
|
| 154 |
+
name_col_name = 'demangledName'
|
| 155 |
+
if use_base:
|
| 156 |
+
name_col_name = 'shortName'
|
| 157 |
+
elif use_mangled and instance.table_col_exists('CUPTI_ACTIVITY_KIND_KERNEL', 'mangledName'):
|
| 158 |
+
name_col_name = 'mangledName'
|
| 159 |
+
|
| 160 |
+
kernel_query = QUERY_KERNEL.format(NAME_COL_NAME = name_col_name)
|
| 161 |
+
if use_nvtx_name:
|
| 162 |
+
if not instance.table_exists('NVTX_EVENTS'):
|
| 163 |
+
return "{DBFILE} does not contain NV Tools Extension (NVTX) data."
|
| 164 |
+
if not instance.table_exists('CUPTI_ACTIVITY_KIND_RUNTIME'):
|
| 165 |
+
return "{DBFILE} does not contain CUDA API data."
|
| 166 |
+
|
| 167 |
+
for stmt in CREATE_RUNTIME_RIDX_STATEMENTS:
|
| 168 |
+
errmsg = instance._execute_statement(stmt)
|
| 169 |
+
if errmsg != None:
|
| 170 |
+
return errmsg
|
| 171 |
+
|
| 172 |
+
kernel_name_query = QUERY_NVTX_KERNEL_NAME.format(KERNEL_TABLE = kernel_query)
|
| 173 |
+
else:
|
| 174 |
+
kernel_name_query = QUERY_KERNEL_NAME.format(KERNEL_TABLE = kernel_query)
|
| 175 |
+
|
| 176 |
+
errmsg = instance._execute_statement(
|
| 177 |
+
'DROP VIEW IF EXISTS temp.CUPTI_ACTIVITY_KIND_KERNEL_NAMED'
|
| 178 |
+
)
|
| 179 |
+
if errmsg != None:
|
| 180 |
+
return errmsg
|
| 181 |
+
|
| 182 |
+
errmsg = instance._execute_statement(
|
| 183 |
+
'CREATE TEMP VIEW CUPTI_ACTIVITY_KIND_KERNEL_NAMED AS {QUERY}'.format(
|
| 184 |
+
QUERY = kernel_name_query
|
| 185 |
+
)
|
| 186 |
+
)
|
| 187 |
+
if errmsg != None:
|
| 188 |
+
return errmsg
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/python/lib/nsysstats.py
ADDED
|
@@ -0,0 +1,616 @@
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
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|
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|
|
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|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
|
|
|
|
|
|
| 1 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 2 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 3 |
+
#
|
| 4 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 5 |
+
# property and proprietary rights in and to this material, related
|
| 6 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 7 |
+
# disclosure or distribution of this material and related documentation
|
| 8 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 9 |
+
# its affiliates is strictly prohibited.
|
| 10 |
+
|
| 11 |
+
import sys
|
| 12 |
+
import inspect
|
| 13 |
+
import os.path
|
| 14 |
+
import urllib.parse
|
| 15 |
+
import csv
|
| 16 |
+
import sqlite3
|
| 17 |
+
import re
|
| 18 |
+
import argparse
|
| 19 |
+
|
| 20 |
+
class Report:
|
| 21 |
+
|
| 22 |
+
class Error(Exception):
|
| 23 |
+
pass
|
| 24 |
+
|
| 25 |
+
class Error_MissingDatabaseFile(Error):
|
| 26 |
+
def __init__(self, filename):
|
| 27 |
+
super().__init__(f'Database file {filename} does not exist.')
|
| 28 |
+
|
| 29 |
+
class Error_InvalidDatabaseFile(Error):
|
| 30 |
+
def __init__(self, filename):
|
| 31 |
+
super().__init__(f'Database file {filename} could not be opened and appears to be invalid.')
|
| 32 |
+
|
| 33 |
+
class Error_InvalidSQL(Error):
|
| 34 |
+
def __init__(self, sql):
|
| 35 |
+
super().__init__(f'Bad SQL statement: {sql}')
|
| 36 |
+
|
| 37 |
+
class Error_ArgumentError(Error):
|
| 38 |
+
def __init__(self, msg):
|
| 39 |
+
super().__init__(msg)
|
| 40 |
+
|
| 41 |
+
class ArgumentParser(argparse.ArgumentParser):
|
| 42 |
+
def __init__(self, **kwargs):
|
| 43 |
+
self._options = []
|
| 44 |
+
super().__init__(self, **kwargs)
|
| 45 |
+
|
| 46 |
+
def exit(self, status=0, message=None):
|
| 47 |
+
raise Report.Error_ArgumentError(message)
|
| 48 |
+
|
| 49 |
+
def error(self, message):
|
| 50 |
+
raise Report.Error_ArgumentError(message)
|
| 51 |
+
|
| 52 |
+
# Allow optional arguments without dashes.
|
| 53 |
+
def add_optional_arg(self, *args, **kwargs):
|
| 54 |
+
self._options.extend(args)
|
| 55 |
+
dash_args = []
|
| 56 |
+
for arg in args:
|
| 57 |
+
if arg[0] == '+':
|
| 58 |
+
dash_args.append(arg[1:])
|
| 59 |
+
else:
|
| 60 |
+
dash_args.append('--' + arg)
|
| 61 |
+
return self.add_argument(*dash_args, **kwargs)
|
| 62 |
+
|
| 63 |
+
def parse_optional_dashless_args(self, args, parsed_args=None):
|
| 64 |
+
formatted_args = []
|
| 65 |
+
for arg in args:
|
| 66 |
+
if arg.split('=')[0] in self._options:
|
| 67 |
+
arg = '--' + arg
|
| 68 |
+
formatted_args.append(arg)
|
| 69 |
+
return self.parse_args(formatted_args, namespace=parsed_args)
|
| 70 |
+
|
| 71 |
+
# SQL Aggregate function that takes two arguments: start and end. Finds the
|
| 72 |
+
# total duration where at least one range is active, but doesn't over-count
|
| 73 |
+
# when events overlap. Events can be fed in any order.
|
| 74 |
+
class SQLiteAggregateUniqueDuration:
|
| 75 |
+
def __init__(self):
|
| 76 |
+
self.segments = []
|
| 77 |
+
|
| 78 |
+
def step(self, start, end):
|
| 79 |
+
if start >= end:
|
| 80 |
+
return
|
| 81 |
+
new_segs = []
|
| 82 |
+
new_start = start
|
| 83 |
+
new_end = end
|
| 84 |
+
|
| 85 |
+
for s in self.segments:
|
| 86 |
+
if start <= s[1] and end >= s[0]:
|
| 87 |
+
new_start = min(new_start, s[0])
|
| 88 |
+
new_end = max(new_end, s[1])
|
| 89 |
+
else:
|
| 90 |
+
new_segs.append(s)
|
| 91 |
+
|
| 92 |
+
new_segs.append([new_start, new_end])
|
| 93 |
+
self.segments = new_segs
|
| 94 |
+
|
| 95 |
+
def finalize(self):
|
| 96 |
+
dur = 0
|
| 97 |
+
for s in self.segments:
|
| 98 |
+
dur += s[1] - s[0]
|
| 99 |
+
self.segments = []
|
| 100 |
+
return dur
|
| 101 |
+
|
| 102 |
+
EXIT_HELP = 25
|
| 103 |
+
EXIT_DB = 26
|
| 104 |
+
EXIT_NODATA = 27
|
| 105 |
+
EXIT_SCRIPT = 28
|
| 106 |
+
EXIT_INVALID_ARG = 29
|
| 107 |
+
|
| 108 |
+
DEFAULT_ROW_LIMIT = 50
|
| 109 |
+
|
| 110 |
+
_LOAD_TABLE_QUERY = """
|
| 111 |
+
SELECT name
|
| 112 |
+
FROM sqlite_master
|
| 113 |
+
WHERE type LIKE 'table'
|
| 114 |
+
OR type LIKE 'view';
|
| 115 |
+
"""
|
| 116 |
+
|
| 117 |
+
_CREATE_FILTERED_VIEW_QUERY = """
|
| 118 |
+
CREATE TEMP VIEW {TABLE} AS
|
| 119 |
+
SELECT rowid, *
|
| 120 |
+
FROM main.{TABLE}
|
| 121 |
+
WHERE ((start >= {START} AND start < {END})
|
| 122 |
+
OR (end >= {START} AND end < {END})
|
| 123 |
+
OR (start < {START} AND end >= {END}))
|
| 124 |
+
"""
|
| 125 |
+
|
| 126 |
+
_FIND_NVTX_RANGE_QUERY = """
|
| 127 |
+
WITH
|
| 128 |
+
domain AS (
|
| 129 |
+
SELECT
|
| 130 |
+
domainId,
|
| 131 |
+
globalTid,
|
| 132 |
+
text
|
| 133 |
+
FROM
|
| 134 |
+
NVTX_EVENTS
|
| 135 |
+
WHERE
|
| 136 |
+
eventType == 75 -- EVENT_TYPE_NVTX_DOMAIN_CREATE
|
| 137 |
+
)
|
| 138 |
+
SELECT
|
| 139 |
+
nvtx.start,
|
| 140 |
+
nvtx.end,
|
| 141 |
+
nvtx.globalTid
|
| 142 |
+
FROM
|
| 143 |
+
NVTX_EVENTS AS nvtx
|
| 144 |
+
LEFT JOIN
|
| 145 |
+
domain
|
| 146 |
+
ON nvtx.domainId == domain.domainId
|
| 147 |
+
AND nvtx.globalTid >> 24 == domain.globalTid >> 24
|
| 148 |
+
LEFT JOIN
|
| 149 |
+
StringIds AS sid
|
| 150 |
+
ON nvtx.textId == sid.id
|
| 151 |
+
WHERE
|
| 152 |
+
nvtx.eventType IN (59, 60, 70, 71) -- EVENT_TYPE_NVTX[T]_(PUSHPOP|STARTEND)_RANGE
|
| 153 |
+
AND coalesce(nvtx.text, sid.value) || coalesce('@' || domain.text, '') == '{NVTX_RANGE}'
|
| 154 |
+
ORDER BY 1
|
| 155 |
+
LIMIT 1 OFFSET {NVTX_IDX}
|
| 156 |
+
"""
|
| 157 |
+
|
| 158 |
+
_boilerplate_statements = [
|
| 159 |
+
f'pragma cache_size=-{32 * 1024}', # Set main DB page cache to 32MB
|
| 160 |
+
f'pragma temp.cache_size=-{32 * 1024}', # Set temp DB page cache to 32MB
|
| 161 |
+
]
|
| 162 |
+
|
| 163 |
+
_arg_opts = [
|
| 164 |
+
[['start'], {'type': int, 'help': 'start time used for filtering'}],
|
| 165 |
+
[['end'], {'type': int, 'help': 'end time used for filtering'}],
|
| 166 |
+
[['nvtx'], {'type': str, 'help': 'NVTX range and domain for filtering'}],
|
| 167 |
+
]
|
| 168 |
+
|
| 169 |
+
script_name = None
|
| 170 |
+
display_name = 'NO NAME GIVEN'
|
| 171 |
+
usage = "{SCRIPT} -- NO USAGE INFORMATION PROVIDED"
|
| 172 |
+
should_display = True
|
| 173 |
+
table_checks = {}
|
| 174 |
+
table_col_checks = {}
|
| 175 |
+
statements = []
|
| 176 |
+
query = "SELECT 1 AS 'ONE'"
|
| 177 |
+
|
| 178 |
+
def __init__(self, dbfile, args=[]):
|
| 179 |
+
self._tables = None
|
| 180 |
+
self._dbcon = None
|
| 181 |
+
self._dbcur = None
|
| 182 |
+
self._dbfile = dbfile
|
| 183 |
+
self._args = []
|
| 184 |
+
self._headers = []
|
| 185 |
+
self._parsed_args = None
|
| 186 |
+
self._parser = None
|
| 187 |
+
|
| 188 |
+
if isinstance(args, argparse.Namespace):
|
| 189 |
+
self._parsed_args = args
|
| 190 |
+
else:
|
| 191 |
+
self._args = args
|
| 192 |
+
|
| 193 |
+
# Check DB file
|
| 194 |
+
if not os.path.exists(self._dbfile):
|
| 195 |
+
raise self.Error_MissingDatabaseFile(self._dbfile)
|
| 196 |
+
|
| 197 |
+
# Open DB file
|
| 198 |
+
dburi_query = {
|
| 199 |
+
'mode': 'ro',
|
| 200 |
+
'nolock': '1',
|
| 201 |
+
'immutable': '1'
|
| 202 |
+
}
|
| 203 |
+
|
| 204 |
+
qstr = urllib.parse.urlencode(dburi_query)
|
| 205 |
+
urlstr = urllib.parse.urlunsplit(['file', '', os.path.abspath(self._dbfile), qstr, ''])
|
| 206 |
+
try:
|
| 207 |
+
self._dbcon = sqlite3.connect(urlstr, isolation_level=None, uri=True, check_same_thread=False)
|
| 208 |
+
except sqlite3.Error:
|
| 209 |
+
self._dbcon = None
|
| 210 |
+
raise self.Error_InvalidDatabaseFile(self._dbfile)
|
| 211 |
+
|
| 212 |
+
# attach helper functions
|
| 213 |
+
self._dbcon.create_aggregate('unique_duration', 2, self.SQLiteAggregateUniqueDuration)
|
| 214 |
+
|
| 215 |
+
# load tables
|
| 216 |
+
try:
|
| 217 |
+
cur = self._dbcon.execute(self._LOAD_TABLE_QUERY)
|
| 218 |
+
except sqlite3.Error:
|
| 219 |
+
raise self.Error_InvalidDatabaseFile(self._dbfile)
|
| 220 |
+
|
| 221 |
+
self._tables = set(r[0] for r in cur.fetchall())
|
| 222 |
+
self._dbfile_basename = os.path.basename(os.path.splitext(self._dbfile)[0])
|
| 223 |
+
|
| 224 |
+
def __del__(self):
|
| 225 |
+
if self._dbcon != None:
|
| 226 |
+
self._dbcon.close()
|
| 227 |
+
|
| 228 |
+
def table_exists(self, table):
|
| 229 |
+
return table in self._tables
|
| 230 |
+
|
| 231 |
+
def search_tables(self, regex_str):
|
| 232 |
+
regex = re.compile(regex_str)
|
| 233 |
+
matches = []
|
| 234 |
+
for t in self._tables:
|
| 235 |
+
if regex.search(t) != None:
|
| 236 |
+
matches.append(t)
|
| 237 |
+
return matches
|
| 238 |
+
|
| 239 |
+
def table_col_exists(self, table, col):
|
| 240 |
+
q = 'SELECT name FROM pragma_table_info(?) WHERE name = ?'
|
| 241 |
+
try:
|
| 242 |
+
cur = self._dbcon.execute(q, (table, col))
|
| 243 |
+
except sqlite3.Error:
|
| 244 |
+
raise self.Error_InvalidSQL(q)
|
| 245 |
+
|
| 246 |
+
return cur.fetchone() != None
|
| 247 |
+
|
| 248 |
+
def check_columns(self):
|
| 249 |
+
for table, columns in self.table_col_checks.items():
|
| 250 |
+
for col, errmsg in columns.items():
|
| 251 |
+
if not self.table_col_exists(table, col):
|
| 252 |
+
return errmsg
|
| 253 |
+
|
| 254 |
+
def setup(self):
|
| 255 |
+
for table, errmsg in self.table_checks.items():
|
| 256 |
+
if not self.table_exists(table):
|
| 257 |
+
return errmsg
|
| 258 |
+
|
| 259 |
+
errmsg = self.check_columns()
|
| 260 |
+
if errmsg != None:
|
| 261 |
+
return errmsg
|
| 262 |
+
|
| 263 |
+
self._parser = self.ArgumentParser(allow_abbrev=False)
|
| 264 |
+
for opt in self._get_arg_options():
|
| 265 |
+
self._parser.add_optional_arg(*opt[0], **opt[1])
|
| 266 |
+
self._parsed_args = self._parser.parse_optional_dashless_args(self._args, self._parsed_args)
|
| 267 |
+
|
| 268 |
+
pid = getattr(self._parsed_args, 'process', -1)
|
| 269 |
+
# Negative value indicates no filtering.
|
| 270 |
+
pid = None if pid < 0 else pid
|
| 271 |
+
|
| 272 |
+
tid = getattr(self._parsed_args, 'thread', -1)
|
| 273 |
+
tid = None if tid < 0 else tid
|
| 274 |
+
|
| 275 |
+
errmsg = self.filter_time_range(self._parsed_args.start,
|
| 276 |
+
self._parsed_args.end, self._parsed_args.nvtx, pid, tid)
|
| 277 |
+
if errmsg != None:
|
| 278 |
+
return errmsg
|
| 279 |
+
|
| 280 |
+
def get_statements(self):
|
| 281 |
+
return self.statements
|
| 282 |
+
|
| 283 |
+
def _execute_statement(self, stmt):
|
| 284 |
+
if self._dbcon == None:
|
| 285 |
+
raise RuntimeError(f'Called {__name__}() with invalid database connection.')
|
| 286 |
+
|
| 287 |
+
try:
|
| 288 |
+
self._dbcon.execute(stmt)
|
| 289 |
+
except sqlite3.Error as err:
|
| 290 |
+
return str(err)
|
| 291 |
+
|
| 292 |
+
def run_statements(self):
|
| 293 |
+
for stmt in self._boilerplate_statements:
|
| 294 |
+
errmsg = self._execute_statement(stmt)
|
| 295 |
+
if errmsg != None:
|
| 296 |
+
return errmsg
|
| 297 |
+
|
| 298 |
+
for stmt in self.get_statements():
|
| 299 |
+
errmsg = self._execute_statement(stmt)
|
| 300 |
+
if errmsg != None:
|
| 301 |
+
return errmsg
|
| 302 |
+
|
| 303 |
+
def get_query(self):
|
| 304 |
+
return self.query
|
| 305 |
+
|
| 306 |
+
def run_query(self):
|
| 307 |
+
csvw = csv.writer(sys.stdout)
|
| 308 |
+
qcur = self._dbcon.execute(self.get_query())
|
| 309 |
+
qcur.arraysize = 100
|
| 310 |
+
header = list(d[0] for d in qcur.description)
|
| 311 |
+
csvw.writerow(header)
|
| 312 |
+
|
| 313 |
+
rows = qcur.fetchmany()
|
| 314 |
+
while rows != []:
|
| 315 |
+
csvw.writerows(rows)
|
| 316 |
+
rows = qcur.fetchmany()
|
| 317 |
+
|
| 318 |
+
def start_query(self):
|
| 319 |
+
if self._dbcon == None:
|
| 320 |
+
raise RuntimeError(f'Called {__name__}() with invalid database connection.')
|
| 321 |
+
if self._dbcur != None:
|
| 322 |
+
raise RuntimeError(f'Called {__name__}() more than once.')
|
| 323 |
+
|
| 324 |
+
try:
|
| 325 |
+
self._dbcur = self._dbcon.execute(self.get_query())
|
| 326 |
+
except sqlite3.Error as err:
|
| 327 |
+
return str(err)
|
| 328 |
+
self._headers = list(d[0] for d in self._dbcur.description)
|
| 329 |
+
|
| 330 |
+
def get_query_row(self):
|
| 331 |
+
if self._dbcon == None:
|
| 332 |
+
raise RuntimeError(f'Called {__name__}() with invalid database connection.')
|
| 333 |
+
if self._dbcur == None:
|
| 334 |
+
raise RuntimeError(f'Called {__name__}() without valid query.')
|
| 335 |
+
|
| 336 |
+
row = self._dbcur.fetchone()
|
| 337 |
+
if row == None:
|
| 338 |
+
del self._dbcur
|
| 339 |
+
self._dbcur = None
|
| 340 |
+
return row
|
| 341 |
+
|
| 342 |
+
def _query_nvtx_filter_range(self, nvtx):
|
| 343 |
+
if self._dbcon == None:
|
| 344 |
+
raise RuntimeError(f'Called {__name__}() with invalid database connection.')
|
| 345 |
+
|
| 346 |
+
if not self.table_exists('NVTX_EVENTS'):
|
| 347 |
+
errmsg = "{DBFILE} does not contain NV Tools Extension (NVTX) data.".format(
|
| 348 |
+
DBFILE = self.dbfile)
|
| 349 |
+
return (errmsg, None, None, None)
|
| 350 |
+
|
| 351 |
+
if not self.table_exists('StringIds'):
|
| 352 |
+
errmsg = "{DBFILE} file does not contain StringIds table.".format(
|
| 353 |
+
DBFILE = self.dbfile)
|
| 354 |
+
return (errmsg, None, None, None)
|
| 355 |
+
|
| 356 |
+
nvtx_range = nvtx
|
| 357 |
+
nvtx_idx = 0
|
| 358 |
+
|
| 359 |
+
# Find last slash (in case name contains a slash) and try to
|
| 360 |
+
# convert integer behind it. If number won't convert, assume
|
| 361 |
+
# slash and anything trailing is part of the name.
|
| 362 |
+
slash_idx = nvtx.rfind("/")
|
| 363 |
+
if slash_idx != -1:
|
| 364 |
+
name = nvtx[:slash_idx]
|
| 365 |
+
numbStr = nvtx[slash_idx+1:]
|
| 366 |
+
numb = None
|
| 367 |
+
try:
|
| 368 |
+
numb = int(numbStr)
|
| 369 |
+
if numb < 0:
|
| 370 |
+
numb = None
|
| 371 |
+
except:
|
| 372 |
+
pass
|
| 373 |
+
if numb is not None:
|
| 374 |
+
nvtx_range = name
|
| 375 |
+
nvtx_idx = numb
|
| 376 |
+
|
| 377 |
+
try:
|
| 378 |
+
cur = self._dbcon.execute(self._FIND_NVTX_RANGE_QUERY.format(
|
| 379 |
+
NVTX_RANGE = nvtx_range, NVTX_IDX = nvtx_idx))
|
| 380 |
+
except sqlite3.Error as err:
|
| 381 |
+
return (str(err), None, None, None)
|
| 382 |
+
|
| 383 |
+
row = cur.fetchone()
|
| 384 |
+
if row:
|
| 385 |
+
return (None, row[0], row[1], row[2])
|
| 386 |
+
|
| 387 |
+
errmsg = "NVTX range '{NVTX_RANGE}' could not be found in {DBFILE}.".format(
|
| 388 |
+
NVTX_RANGE = nvtx,
|
| 389 |
+
DBFILE = self.dbfile)
|
| 390 |
+
return (errmsg, None, None, None)
|
| 391 |
+
|
| 392 |
+
# Filters tables according to start, end, and nvtx flags, if applicable.
|
| 393 |
+
# Tables that should NOT be filtered (e.g. those used for correlation ID matching)
|
| 394 |
+
# should be prefixed with 'main' in the query.
|
| 395 |
+
def filter_time_range(self, start, end, nvtx, pid, tid):
|
| 396 |
+
if all(val is None for val in (start, end, nvtx, pid, tid)):
|
| 397 |
+
return None
|
| 398 |
+
|
| 399 |
+
nvtx_globaltid = None
|
| 400 |
+
if nvtx is None:
|
| 401 |
+
start = 0 if start is None else start
|
| 402 |
+
# If no value is specified, set the end variable to the largest
|
| 403 |
+
# possible timestamp value.
|
| 404 |
+
end = 0x7FFFFFFFFFFFFFFF if end is None else end
|
| 405 |
+
else:
|
| 406 |
+
err, nvtx_start, nvtx_end, nvtx_globaltid = self._query_nvtx_filter_range(nvtx)
|
| 407 |
+
if err != None:
|
| 408 |
+
return err
|
| 409 |
+
|
| 410 |
+
start = nvtx_start if start is None else start
|
| 411 |
+
end = nvtx_end if end is None else end
|
| 412 |
+
|
| 413 |
+
if start > end:
|
| 414 |
+
return "The start time cannot be greater than the end time."
|
| 415 |
+
|
| 416 |
+
if (pid is not None or tid is not None) and nvtx is not None:
|
| 417 |
+
return "The 'nvtx' option cannot be used with 'pid' or 'tid'."
|
| 418 |
+
|
| 419 |
+
for table in self._tables:
|
| 420 |
+
if not self.table_col_exists(table, 'start') or not self.table_col_exists(table, 'end'):
|
| 421 |
+
continue
|
| 422 |
+
|
| 423 |
+
statement = self._CREATE_FILTERED_VIEW_QUERY.format(
|
| 424 |
+
TABLE = table, START = start, END = end)
|
| 425 |
+
|
| 426 |
+
if pid is not None:
|
| 427 |
+
if self.table_col_exists(table, 'globalTid'):
|
| 428 |
+
statement += ' AND (globalTid >> 24) & 0x00FFFFFF == {PID}'.format(PID = pid)
|
| 429 |
+
elif self.table_col_exists(table, 'globalPid'):
|
| 430 |
+
statement += ' AND (globalPid >> 24) & 0x00FFFFFF == {PID}'.format(PID = pid)
|
| 431 |
+
|
| 432 |
+
if tid is not None and self.table_col_exists(table, 'globalTid'):
|
| 433 |
+
statement += ' AND globalTid & 0x00FFFFFF == {TID}'.format(TID = tid)
|
| 434 |
+
|
| 435 |
+
if nvtx_globaltid is not None:
|
| 436 |
+
nvtx_pid = (nvtx_globaltid >> 24) & 0x00FFFFFF
|
| 437 |
+
nvtx_tid = nvtx_globaltid & 0x00FFFFFF
|
| 438 |
+
|
| 439 |
+
if self.table_col_exists(table, 'globalTid'):
|
| 440 |
+
if nvtx_pid != nvtx_tid:
|
| 441 |
+
# NVTX Push/Pop range.
|
| 442 |
+
statement += ' AND globalTid == {GLOBAL_TID}'.format(GLOBAL_TID = nvtx_globaltid)
|
| 443 |
+
else:
|
| 444 |
+
# NVTX Start/End range.
|
| 445 |
+
statement += ' AND globalTid >> 24 == {GLOBAL_TID} >> 24'.format(GLOBAL_TID = nvtx_globaltid)
|
| 446 |
+
elif self.table_col_exists(table, 'globalPid'):
|
| 447 |
+
statement += ' AND globalPid >> 24 == {GLOBAL_TID} >> 24'.format(GLOBAL_TID = nvtx_globaltid)
|
| 448 |
+
|
| 449 |
+
errmsg = self._execute_statement('DROP VIEW IF EXISTS temp.{TABLE}'.format(TABLE = table))
|
| 450 |
+
if errmsg != None:
|
| 451 |
+
return errmsg
|
| 452 |
+
|
| 453 |
+
errmsg = self._execute_statement(statement)
|
| 454 |
+
if errmsg != None:
|
| 455 |
+
return errmsg
|
| 456 |
+
|
| 457 |
+
@property
|
| 458 |
+
def dbfile(self):
|
| 459 |
+
return self._dbfile
|
| 460 |
+
|
| 461 |
+
@property
|
| 462 |
+
def dbfile_basename(self):
|
| 463 |
+
return self._dbfile_basename
|
| 464 |
+
|
| 465 |
+
@property
|
| 466 |
+
def parsed_args(self):
|
| 467 |
+
return self._parsed_args
|
| 468 |
+
|
| 469 |
+
@property
|
| 470 |
+
def headers(self):
|
| 471 |
+
return self._headers
|
| 472 |
+
|
| 473 |
+
@property
|
| 474 |
+
def dbcon(self):
|
| 475 |
+
return self._dbcon
|
| 476 |
+
|
| 477 |
+
@property
|
| 478 |
+
def tables(self):
|
| 479 |
+
return self._tables
|
| 480 |
+
|
| 481 |
+
@classmethod
|
| 482 |
+
def get_script_name(klass):
|
| 483 |
+
if klass.script_name == None:
|
| 484 |
+
klass.script_name = os.path.basename(inspect.getmodule(klass).__file__)
|
| 485 |
+
if klass.script_name.endswith('.py'):
|
| 486 |
+
klass.script_name = klass.script_name[0:-3]
|
| 487 |
+
return klass.script_name
|
| 488 |
+
|
| 489 |
+
@classmethod
|
| 490 |
+
def get_display_name(klass):
|
| 491 |
+
return klass.display_name
|
| 492 |
+
|
| 493 |
+
@classmethod
|
| 494 |
+
def get_usage_summary(klass):
|
| 495 |
+
return klass.get_usage().split("\n", 1)[0]
|
| 496 |
+
|
| 497 |
+
@classmethod
|
| 498 |
+
def get_usage(klass):
|
| 499 |
+
return klass.usage.format(
|
| 500 |
+
SCRIPT=klass.get_script_name(),
|
| 501 |
+
DISPLAY_NAME=klass.get_display_name(),
|
| 502 |
+
ROW_LIMIT=klass.DEFAULT_ROW_LIMIT)
|
| 503 |
+
|
| 504 |
+
@classmethod
|
| 505 |
+
def get_should_display(klass):
|
| 506 |
+
if klass.get_script_name()[0] == '_':
|
| 507 |
+
return False
|
| 508 |
+
return klass.should_display
|
| 509 |
+
|
| 510 |
+
@classmethod
|
| 511 |
+
def _get_arg_options(klass):
|
| 512 |
+
opts = []
|
| 513 |
+
for k in klass.__mro__:
|
| 514 |
+
if '_arg_opts' in k.__dict__:
|
| 515 |
+
opts.extend(k._arg_opts)
|
| 516 |
+
return opts
|
| 517 |
+
|
| 518 |
+
@classmethod
|
| 519 |
+
def Setup(klass, dbfile, args):
|
| 520 |
+
try:
|
| 521 |
+
report = klass(dbfile, args)
|
| 522 |
+
except (klass.Error_MissingDatabaseFile, klass.Error_InvalidDatabaseFile) as err:
|
| 523 |
+
return None, klass.EXIT_DB, str(err)
|
| 524 |
+
|
| 525 |
+
# If/when we upgrade to Python 3.9 or higher, look into passing
|
| 526 |
+
# exit_on_error=False to the ArgumentParser constructor and updating
|
| 527 |
+
# how errors are handled with the .exit() function.
|
| 528 |
+
try:
|
| 529 |
+
errmsg = report.setup()
|
| 530 |
+
except klass.Error_ArgumentError as ex:
|
| 531 |
+
return None, klass.EXIT_INVALID_ARG, str(ex)
|
| 532 |
+
|
| 533 |
+
if errmsg != None:
|
| 534 |
+
return None, klass.EXIT_NODATA, errmsg.format(DBFILE=report.dbfile)
|
| 535 |
+
|
| 536 |
+
errmsg = report.run_statements()
|
| 537 |
+
if errmsg != None:
|
| 538 |
+
return None, klass.EXIT_SCRIPT, errmsg
|
| 539 |
+
|
| 540 |
+
return report, None, None
|
| 541 |
+
|
| 542 |
+
@classmethod
|
| 543 |
+
def Report(klass, dbfile, args):
|
| 544 |
+
report, exitval, errmsg = klass.Setup(dbfile, args)
|
| 545 |
+
if report == None:
|
| 546 |
+
return None, exitval, errmsg
|
| 547 |
+
|
| 548 |
+
errmsg = report.start_query()
|
| 549 |
+
if errmsg != None:
|
| 550 |
+
return None, klass.EXIT_SCRIPT, errmsg
|
| 551 |
+
|
| 552 |
+
return report, None, None
|
| 553 |
+
|
| 554 |
+
@classmethod
|
| 555 |
+
def Main(klass):
|
| 556 |
+
if len(sys.argv) <= 1:
|
| 557 |
+
print(klass.get_usage())
|
| 558 |
+
exit(klass.EXIT_HELP)
|
| 559 |
+
|
| 560 |
+
dbfile = sys.argv[1]
|
| 561 |
+
args = sys.argv[2:]
|
| 562 |
+
|
| 563 |
+
report, exitval, errmsg = klass.Report(dbfile, args)
|
| 564 |
+
if report == None:
|
| 565 |
+
print(errmsg, file=sys.stderr)
|
| 566 |
+
exit(exitval)
|
| 567 |
+
|
| 568 |
+
csvw = csv.writer(sys.stdout)
|
| 569 |
+
|
| 570 |
+
first_row = True
|
| 571 |
+
while True:
|
| 572 |
+
row = report.get_query_row()
|
| 573 |
+
if row == None:
|
| 574 |
+
break
|
| 575 |
+
if first_row:
|
| 576 |
+
first_row = False
|
| 577 |
+
csvw.writerow(report.headers)
|
| 578 |
+
csvw.writerow(row)
|
| 579 |
+
|
| 580 |
+
class StatsReport(Report):
|
| 581 |
+
|
| 582 |
+
def MessageNoResult(self):
|
| 583 |
+
return "Report was successfully run, but no data was returned."
|
| 584 |
+
|
| 585 |
+
class ExpertSystemsReport(Report):
|
| 586 |
+
|
| 587 |
+
DEFAULT_ROW_LIMIT = 50
|
| 588 |
+
|
| 589 |
+
_arg_opts = [
|
| 590 |
+
[['rows'], {'type': int, 'help': 'max rows', 'default': DEFAULT_ROW_LIMIT}],
|
| 591 |
+
]
|
| 592 |
+
|
| 593 |
+
def setup(self):
|
| 594 |
+
err = super().setup()
|
| 595 |
+
if err != None:
|
| 596 |
+
return err
|
| 597 |
+
|
| 598 |
+
self._row_limit = self.parsed_args.rows
|
| 599 |
+
|
| 600 |
+
message_advice = "NO ADVICE MESSAGE DEFINED"
|
| 601 |
+
message_noresult = "NO NON-RESULT MESSAGE DEFINED"
|
| 602 |
+
|
| 603 |
+
def MessageAdvice(self, extended=True):
|
| 604 |
+
if extended and hasattr(self, 'message_advice_extended'):
|
| 605 |
+
return self.message_advice_extended
|
| 606 |
+
return self.message_advice
|
| 607 |
+
|
| 608 |
+
def MessageNoResult(self):
|
| 609 |
+
return self.message_noresult
|
| 610 |
+
|
| 611 |
+
def MessageRowLimit(self, rows):
|
| 612 |
+
if self._row_limit <= 0 or rows < self._row_limit:
|
| 613 |
+
return ''
|
| 614 |
+
if self._row_limit == 1:
|
| 615 |
+
return 'Only the top result is displayed. More data may be available.'
|
| 616 |
+
return f"Only the top {rows} results are displayed. More data may be available."
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/README.txt
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
This Python code used by the Nsight Systems applications. This includes both
|
| 3 |
+
the "nsys" CLI application and the "nsys-ui" desktop application.
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
The "<nsys_install_dir>/reports" directory contains Python code used by the
|
| 7 |
+
stats and reporting feature.
|
| 8 |
+
|
| 9 |
+
The "<nsys_install_dir>/rules" directory contains Python code used by the
|
| 10 |
+
expert system feature.
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
These Python files are designed to be used as plug-in modules for the Nsight
|
| 14 |
+
Systems applications. THESE FILES ARE NOT DESIGNED TO BE RUN AS STANDALONE
|
| 15 |
+
SCRIPTS. Although it is possible to run some of these Python files directly,
|
| 16 |
+
this use-case is for building and testing, and not supported for general
|
| 17 |
+
customer use.
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
NSYS-UI DESKTOP APPLICATION
|
| 22 |
+
---------------------------
|
| 23 |
+
|
| 24 |
+
To utilize these reports and rules in the "nsys-ui" desktop application,
|
| 25 |
+
please utilize the drop-down menu in the lower-right section of the
|
| 26 |
+
application window to select either stats or expert systems. Once that
|
| 27 |
+
pane is visible, you an select a specific report or rule from the list
|
| 28 |
+
on the left side of the pane. The results will be displayed on the right
|
| 29 |
+
side of the pane.
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
NSYS COMMAND LINE APPLICATION
|
| 34 |
+
-----------------------------
|
| 35 |
+
|
| 36 |
+
To run a stats report, please use the command:
|
| 37 |
+
|
| 38 |
+
$ nsys stats --report <report name> <input file>
|
| 39 |
+
|
| 40 |
+
To run an expert systems rule, please use the command:
|
| 41 |
+
|
| 42 |
+
$ nsys analyze --rule <rule name> <input file>
|
| 43 |
+
|
| 44 |
+
The <report name> or <rule name> is the name of the Python script without
|
| 45 |
+
the ".py" extension.
|
| 46 |
+
|
| 47 |
+
To get a full list of the available reports & rules, the following commands
|
| 48 |
+
can be used:
|
| 49 |
+
|
| 50 |
+
$ nsys stats --help-reports
|
| 51 |
+
$ nsys analyze --help-rules
|
| 52 |
+
|
| 53 |
+
For more detailed information about a specific report, use the commands:
|
| 54 |
+
|
| 55 |
+
$ nsys stats --help-reports <report name>
|
| 56 |
+
$ nsys analyze --help-rules <rule name>
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/_sql.py
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 14 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 15 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 16 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 17 |
+
|
| 18 |
+
import nsysstats
|
| 19 |
+
|
| 20 |
+
class TESTReportSQLStatement(nsysstats.StatsReport):
|
| 21 |
+
|
| 22 |
+
DEFAULT_QUERY='SELECT 1'
|
| 23 |
+
|
| 24 |
+
display_name = 'DEBUG: SQL Statement'
|
| 25 |
+
usage = f"""{{SCRIPT}}[:sql=<sql_statement>] -- Run SQL Statement
|
| 26 |
+
|
| 27 |
+
sql : Arbitrary SQLite statement
|
| 28 |
+
|
| 29 |
+
Output defined by <sql_statement>.
|
| 30 |
+
|
| 31 |
+
This report accepts and executes an arbitrary SQL statement.
|
| 32 |
+
It is mostly for debugging/testing. If no <sql_statement> is
|
| 33 |
+
given, the statement "{DEFAULT_QUERY}" is executed.
|
| 34 |
+
"""
|
| 35 |
+
|
| 36 |
+
_arg_opts = [
|
| 37 |
+
[['sql'], {'type': str, 'help': 'SQL stmt', 'default': DEFAULT_QUERY}],
|
| 38 |
+
]
|
| 39 |
+
|
| 40 |
+
def setup(self):
|
| 41 |
+
err = super().setup()
|
| 42 |
+
if err != None:
|
| 43 |
+
return err
|
| 44 |
+
|
| 45 |
+
self.query = self.parsed_args.sql
|
| 46 |
+
|
| 47 |
+
if __name__ == "__main__":
|
| 48 |
+
TESTReportSQLStatement.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/_sqlfile.py
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 14 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 15 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 16 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 17 |
+
|
| 18 |
+
import nsysstats
|
| 19 |
+
|
| 20 |
+
class TESTReportSQLFile(nsysstats.StatsReport):
|
| 21 |
+
|
| 22 |
+
display_name = 'DEBUG: SQL File'
|
| 23 |
+
usage = f"""{{SCRIPT}}:file=<sql_file> -- Run SQL statement from file
|
| 24 |
+
|
| 25 |
+
file : File with SQL statement(s)
|
| 26 |
+
|
| 27 |
+
Output defined by <sql_file>.
|
| 28 |
+
|
| 29 |
+
This report executes an arbitrary SQL statement found in the given filename.
|
| 30 |
+
It is mostly for debugging/testing. If no file is given, or if the file
|
| 31 |
+
does not exist or cannot be opened, an error is returned. The file should
|
| 32 |
+
contain only a single SQL statement.
|
| 33 |
+
"""
|
| 34 |
+
|
| 35 |
+
_arg_opts = [
|
| 36 |
+
[['file'], {'type': str, 'help': 'SQL file'}],
|
| 37 |
+
]
|
| 38 |
+
|
| 39 |
+
query = "SELECT 1 AS 'ONE'"
|
| 40 |
+
|
| 41 |
+
def setup(self):
|
| 42 |
+
err = super().setup()
|
| 43 |
+
if err != None:
|
| 44 |
+
return err
|
| 45 |
+
|
| 46 |
+
if self.parsed_args.file == None:
|
| 47 |
+
return 'No filename given'
|
| 48 |
+
|
| 49 |
+
filename = self.parsed_args.file
|
| 50 |
+
try:
|
| 51 |
+
with open(filename, "r") as file:
|
| 52 |
+
self.query = file.read()
|
| 53 |
+
except EnvironmentError:
|
| 54 |
+
return f"File {filename} could not be opened"
|
| 55 |
+
|
| 56 |
+
if __name__ == "__main__":
|
| 57 |
+
TESTReportSQLFile.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/_tbl.py
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 14 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 15 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 16 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 17 |
+
|
| 18 |
+
import nsysstats
|
| 19 |
+
|
| 20 |
+
class TESTReportSQLTable(nsysstats.StatsReport):
|
| 21 |
+
|
| 22 |
+
DEFAULT_TABLE = 'TARGET_INFO_GPU'
|
| 23 |
+
|
| 24 |
+
display_name = 'DEBUG: SQL Table'
|
| 25 |
+
usage = f"""{{SCRIPT}}[:table=<table_name>] -- Return Table
|
| 26 |
+
|
| 27 |
+
table : Name of an SQLite table
|
| 28 |
+
|
| 29 |
+
Output defined by <table_name>.
|
| 30 |
+
|
| 31 |
+
This report accepts a database table (or view) name and
|
| 32 |
+
executes the statement "SELECT * FROM <table_name>". It is
|
| 33 |
+
mostly for debugging/testing. If no <table_name> is given,
|
| 34 |
+
the table {DEFAULT_TABLE} will be used.
|
| 35 |
+
"""
|
| 36 |
+
|
| 37 |
+
query_stub = "SELECT * FROM {TABLE}"
|
| 38 |
+
|
| 39 |
+
_arg_opts = [
|
| 40 |
+
[['table'], {'type': str, 'help': 'SQL table', 'default': DEFAULT_TABLE}],
|
| 41 |
+
]
|
| 42 |
+
|
| 43 |
+
def setup(self):
|
| 44 |
+
err = super().setup()
|
| 45 |
+
if err != None:
|
| 46 |
+
return err
|
| 47 |
+
|
| 48 |
+
table_name = self.parsed_args.table
|
| 49 |
+
if not self.table_exists(table_name):
|
| 50 |
+
return f"{{DBFILE}} does not contain the table {table_name}"
|
| 51 |
+
self.query = self.query_stub.format(TABLE=table_name)
|
| 52 |
+
|
| 53 |
+
if __name__ == "__main__":
|
| 54 |
+
TESTReportSQLTable.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/_values.py
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 14 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 15 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 16 |
+
# THIS SCRIPT FOR DEBUGGING AND TESTING ONLY
|
| 17 |
+
|
| 18 |
+
import nsysstats
|
| 19 |
+
|
| 20 |
+
class TESTReportSQLValues(nsysstats.StatsReport):
|
| 21 |
+
|
| 22 |
+
DEFAULT_VALUE = [1]
|
| 23 |
+
|
| 24 |
+
display_name = 'DEBUG: SQL Values'
|
| 25 |
+
usage = f"""{{SCRIPT}}[:<v>[:<v>]...] -- Return Provided Values
|
| 26 |
+
|
| 27 |
+
<v> : One or more values
|
| 28 |
+
|
| 29 |
+
Output:
|
| 30 |
+
Value : Values passed in as <v>
|
| 31 |
+
|
| 32 |
+
This report accepts one or more values, <v> and returns those
|
| 33 |
+
values as a single column data set. It is mostly for
|
| 34 |
+
debugging/testing. If no <v> is given, the single value
|
| 35 |
+
"{DEFAULT_VALUE[0]}" will be used. The SQLite file is not
|
| 36 |
+
used or accessed, other than for verification.
|
| 37 |
+
"""
|
| 38 |
+
|
| 39 |
+
query_stub = """
|
| 40 |
+
WITH VAL_CTE (VALUE) AS ( VALUES {VALUES} )
|
| 41 |
+
SELECT VALUE AS VALUE FROM VAL_CTE
|
| 42 |
+
"""
|
| 43 |
+
|
| 44 |
+
_arg_opts = [
|
| 45 |
+
[['+vals'], {'type': str, 'help': 'SQL values', 'nargs': '*'}],
|
| 46 |
+
]
|
| 47 |
+
|
| 48 |
+
def setup(self):
|
| 49 |
+
err = super().setup()
|
| 50 |
+
if err != None:
|
| 51 |
+
return err
|
| 52 |
+
|
| 53 |
+
values = []
|
| 54 |
+
if len(self.parsed_args.vals) == 0:
|
| 55 |
+
values = self.DEFAULT_VALUE
|
| 56 |
+
else:
|
| 57 |
+
values = self.parsed_args.vals
|
| 58 |
+
|
| 59 |
+
self.query = self.query_stub.format(VALUES = ",".join(["('{v}')".format(v=val) for val in values]))
|
| 60 |
+
|
| 61 |
+
if __name__ == "__main__":
|
| 62 |
+
TESTReportSQLValues.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/apigpusum.py
ADDED
|
@@ -0,0 +1,153 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class CUDAAPIandGPUSummary(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'DEPRECATED - Use cuda_api_gpu_sum instead'
|
| 18 |
+
usage = '{SCRIPT} -- {{DISPLAY_NAME}}'
|
| 19 |
+
should_display = False
|
| 20 |
+
|
| 21 |
+
query_stub = """
|
| 22 |
+
WITH
|
| 23 |
+
apigpu AS (
|
| 24 |
+
{SUB_QUERY}
|
| 25 |
+
),
|
| 26 |
+
summary AS (
|
| 27 |
+
SELECT
|
| 28 |
+
name AS name,
|
| 29 |
+
category AS category,
|
| 30 |
+
sum(duration) AS total,
|
| 31 |
+
count(*) AS num,
|
| 32 |
+
avg(duration) AS avg,
|
| 33 |
+
median(duration) AS med,
|
| 34 |
+
min(duration) AS min,
|
| 35 |
+
max(duration) AS max,
|
| 36 |
+
stdev(duration) AS stddev
|
| 37 |
+
FROM
|
| 38 |
+
apigpu
|
| 39 |
+
GROUP BY 1
|
| 40 |
+
),
|
| 41 |
+
totals AS (
|
| 42 |
+
SELECT sum(total) AS total
|
| 43 |
+
FROM summary
|
| 44 |
+
)
|
| 45 |
+
SELECT
|
| 46 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 47 |
+
summary.total AS "Total Time:dur_ns",
|
| 48 |
+
summary.num AS "Instances",
|
| 49 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 50 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 51 |
+
summary.min AS "Min:dur_ns",
|
| 52 |
+
summary.max AS "Max:dur_ns",
|
| 53 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 54 |
+
summary.category AS "Category",
|
| 55 |
+
summary.name AS "Operation"
|
| 56 |
+
FROM
|
| 57 |
+
summary
|
| 58 |
+
ORDER BY 2 DESC
|
| 59 |
+
;
|
| 60 |
+
"""
|
| 61 |
+
|
| 62 |
+
query_runtime = """
|
| 63 |
+
SELECT
|
| 64 |
+
CASE substr(str.value, -6, 2)
|
| 65 |
+
WHEN '_v' THEN substr(str.value, 1, length(str.value)-6)
|
| 66 |
+
ELSE str.value
|
| 67 |
+
END AS name,
|
| 68 |
+
rt.end - rt.start AS duration,
|
| 69 |
+
'CUDA_API' AS category
|
| 70 |
+
FROM
|
| 71 |
+
CUPTI_ACTIVITY_KIND_RUNTIME AS rt
|
| 72 |
+
LEFT OUTER JOIN
|
| 73 |
+
StringIds AS str
|
| 74 |
+
ON str.id == rt.nameId
|
| 75 |
+
"""
|
| 76 |
+
|
| 77 |
+
query_kernel = """
|
| 78 |
+
SELECT
|
| 79 |
+
str.value AS name,
|
| 80 |
+
kern.end - kern.start AS duration,
|
| 81 |
+
'CUDA_KERNEL' AS category
|
| 82 |
+
FROM
|
| 83 |
+
CUPTI_ACTIVITY_KIND_KERNEL AS kern
|
| 84 |
+
LEFT OUTER JOIN
|
| 85 |
+
StringIds AS str
|
| 86 |
+
ON str.id == coalesce(kern.{NAME_COL_NAME}, kern.demangledName)
|
| 87 |
+
"""
|
| 88 |
+
|
| 89 |
+
query_memcpy = """
|
| 90 |
+
SELECT
|
| 91 |
+
'[CUDA memcpy ' || mos.label || ']' AS name,
|
| 92 |
+
mcpy.end - mcpy.start AS duration,
|
| 93 |
+
'MEMORY_OPER' AS category
|
| 94 |
+
FROM
|
| 95 |
+
CUPTI_ACTIVITY_KIND_MEMCPY as mcpy
|
| 96 |
+
JOIN
|
| 97 |
+
ENUM_CUDA_MEMCPY_OPER AS mos
|
| 98 |
+
ON mos.id == mcpy.copyKind
|
| 99 |
+
"""
|
| 100 |
+
|
| 101 |
+
query_memset = """
|
| 102 |
+
SELECT
|
| 103 |
+
'[CUDA memset]' AS name,
|
| 104 |
+
end - start AS duration,
|
| 105 |
+
'MEMORY_OPER' AS category
|
| 106 |
+
FROM
|
| 107 |
+
CUPTI_ACTIVITY_KIND_MEMSET
|
| 108 |
+
"""
|
| 109 |
+
|
| 110 |
+
query_union = """
|
| 111 |
+
UNION ALL
|
| 112 |
+
"""
|
| 113 |
+
|
| 114 |
+
_arg_opts = [
|
| 115 |
+
[['base'], {'action': 'store_true'}],
|
| 116 |
+
[['mangled'], {'action': 'store_true'}],
|
| 117 |
+
]
|
| 118 |
+
|
| 119 |
+
def setup(self):
|
| 120 |
+
err = super().setup()
|
| 121 |
+
if err != None:
|
| 122 |
+
return err
|
| 123 |
+
|
| 124 |
+
name_col_name = 'demangledName'
|
| 125 |
+
if self.parsed_args.base:
|
| 126 |
+
name_col_name = 'shortName'
|
| 127 |
+
elif (self.parsed_args.mangled and
|
| 128 |
+
self.table_col_exists('CUPTI_ACTIVITY_KIND_KERNEL', 'mangledName')):
|
| 129 |
+
name_col_name = 'mangledName'
|
| 130 |
+
|
| 131 |
+
sub_queries = []
|
| 132 |
+
|
| 133 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_RUNTIME'):
|
| 134 |
+
sub_queries.append(self.query_runtime)
|
| 135 |
+
|
| 136 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_KERNEL'):
|
| 137 |
+
sub_queries.append(self.query_kernel.format(NAME_COL_NAME = name_col_name))
|
| 138 |
+
|
| 139 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMCPY'):
|
| 140 |
+
if not self.table_exists('ENUM_CUDA_MEMCPY_OPER'):
|
| 141 |
+
return '{DBFILE} does not contain ENUM_CUDA_MEMCPY_OPER table.'
|
| 142 |
+
sub_queries.append(self.query_memcpy)
|
| 143 |
+
|
| 144 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMSET'):
|
| 145 |
+
sub_queries.append(self.query_memset)
|
| 146 |
+
|
| 147 |
+
if len(sub_queries) == 0:
|
| 148 |
+
return '{DBFILE} does not contain CUDA API, GPU kernel, nor memory operations data.'
|
| 149 |
+
|
| 150 |
+
self.query = self.query_stub.format(SUB_QUERY = self.query_union.join(sub_queries))
|
| 151 |
+
|
| 152 |
+
if __name__ == "__main__":
|
| 153 |
+
CUDAAPIandGPUSummary.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cuda_api_gpu_sum.py
ADDED
|
@@ -0,0 +1,191 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import kernel_helper
|
| 14 |
+
import nsysstats
|
| 15 |
+
|
| 16 |
+
class CudaApiGpuSum(nsysstats.StatsReport):
|
| 17 |
+
|
| 18 |
+
display_name = 'CUDA Summary (API/Kernels/MemOps)'
|
| 19 |
+
usage = f'''{{SCRIPT}}[:nvtx-name][:base|:mangled] -- {{DISPLAY_NAME}}
|
| 20 |
+
|
| 21 |
+
nvtx-name - Optional argument, if given, will prefix the kernel name with
|
| 22 |
+
the name of the innermost enclosing NVTX range.
|
| 23 |
+
|
| 24 |
+
base - Optional argument, if given, will cause summary to be over the
|
| 25 |
+
base name of the kernel, rather than the templated name.
|
| 26 |
+
|
| 27 |
+
mangled - Optional argument, if given, will cause summary to be over the
|
| 28 |
+
raw mangled name of the kernel, rather than the templated name.
|
| 29 |
+
|
| 30 |
+
Note: the ability to display mangled names is a recent addition to the
|
| 31 |
+
report file format, and requires that the profile data be captured with
|
| 32 |
+
a recent version of Nsys. Re-exporting an existing report file is not
|
| 33 |
+
sufficient. If the raw, mangled kernel name data is not available, the
|
| 34 |
+
default demangled names will be used.
|
| 35 |
+
|
| 36 |
+
Output: All time values default to nanoseconds
|
| 37 |
+
Time : Percentage of "Total Time"
|
| 38 |
+
Total Time : Total time used by all executions of this kernel
|
| 39 |
+
Instances : Number of executions of this kernel
|
| 40 |
+
Avg : Average execution time of this kernel
|
| 41 |
+
Med : Median execution time of this kernel
|
| 42 |
+
Min : Smallest execution time of this kernel
|
| 43 |
+
Max : Largest execution time of this kernel
|
| 44 |
+
StdDev : Standard deviation of execution time of this kernel
|
| 45 |
+
Category : Category of the operation
|
| 46 |
+
Operation : Name of the kernel
|
| 47 |
+
|
| 48 |
+
This report provides a summary of CUDA API calls, kernels and memory
|
| 49 |
+
operations, and their execution times. Note that the "Time"
|
| 50 |
+
column is calculated using a summation of the "Total Time" column,
|
| 51 |
+
and represents that API call's, kernel's, or memory operation's
|
| 52 |
+
percent of the execution time of the APIs, kernels and memory
|
| 53 |
+
operations listed, and not a percentage of the application wall or
|
| 54 |
+
CPU execution time.
|
| 55 |
+
|
| 56 |
+
This report combines data from the "cuda_api_sum", "cuda_gpu_kern_sum", and
|
| 57 |
+
"cuda_gpu_mem_size_sum" reports. It is very similar to profile section of
|
| 58 |
+
"nvprof --dependency-analysis".
|
| 59 |
+
'''
|
| 60 |
+
|
| 61 |
+
query_stub = """
|
| 62 |
+
WITH
|
| 63 |
+
apigpu AS (
|
| 64 |
+
{SUB_QUERY}
|
| 65 |
+
),
|
| 66 |
+
summary AS (
|
| 67 |
+
SELECT
|
| 68 |
+
name AS name,
|
| 69 |
+
category AS category,
|
| 70 |
+
sum(duration) AS total,
|
| 71 |
+
count(*) AS num,
|
| 72 |
+
avg(duration) AS avg,
|
| 73 |
+
median(duration) AS med,
|
| 74 |
+
min(duration) AS min,
|
| 75 |
+
max(duration) AS max,
|
| 76 |
+
stdev(duration) AS stddev
|
| 77 |
+
FROM
|
| 78 |
+
apigpu
|
| 79 |
+
GROUP BY 1
|
| 80 |
+
),
|
| 81 |
+
totals AS (
|
| 82 |
+
SELECT sum(total) AS total
|
| 83 |
+
FROM summary
|
| 84 |
+
)
|
| 85 |
+
SELECT
|
| 86 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 87 |
+
summary.total AS "Total Time:dur_ns",
|
| 88 |
+
summary.num AS "Instances",
|
| 89 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 90 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 91 |
+
summary.min AS "Min:dur_ns",
|
| 92 |
+
summary.max AS "Max:dur_ns",
|
| 93 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 94 |
+
summary.category AS "Category",
|
| 95 |
+
summary.name AS "Operation"
|
| 96 |
+
FROM
|
| 97 |
+
summary
|
| 98 |
+
ORDER BY 2 DESC
|
| 99 |
+
;
|
| 100 |
+
"""
|
| 101 |
+
|
| 102 |
+
query_runtime = """
|
| 103 |
+
SELECT
|
| 104 |
+
CASE substr(str.value, -6, 2)
|
| 105 |
+
WHEN '_v' THEN substr(str.value, 1, length(str.value)-6)
|
| 106 |
+
ELSE str.value
|
| 107 |
+
END AS name,
|
| 108 |
+
rt.end - rt.start AS duration,
|
| 109 |
+
'CUDA_API' AS category
|
| 110 |
+
FROM
|
| 111 |
+
CUPTI_ACTIVITY_KIND_RUNTIME AS rt
|
| 112 |
+
LEFT OUTER JOIN
|
| 113 |
+
StringIds AS str
|
| 114 |
+
ON str.id == rt.nameId
|
| 115 |
+
"""
|
| 116 |
+
|
| 117 |
+
query_kernel = """
|
| 118 |
+
SELECT
|
| 119 |
+
name,
|
| 120 |
+
end - start AS duration,
|
| 121 |
+
'CUDA_KERNEL' AS category
|
| 122 |
+
FROM
|
| 123 |
+
CUPTI_ACTIVITY_KIND_KERNEL_NAMED
|
| 124 |
+
"""
|
| 125 |
+
|
| 126 |
+
query_memcpy = """
|
| 127 |
+
SELECT
|
| 128 |
+
'[CUDA memcpy ' || mos.label || ']' AS name,
|
| 129 |
+
mcpy.end - mcpy.start AS duration,
|
| 130 |
+
'MEMORY_OPER' AS category
|
| 131 |
+
FROM
|
| 132 |
+
CUPTI_ACTIVITY_KIND_MEMCPY as mcpy
|
| 133 |
+
JOIN
|
| 134 |
+
ENUM_CUDA_MEMCPY_OPER AS mos
|
| 135 |
+
ON mos.id == mcpy.copyKind
|
| 136 |
+
"""
|
| 137 |
+
|
| 138 |
+
query_memset = """
|
| 139 |
+
SELECT
|
| 140 |
+
'[CUDA memset]' AS name,
|
| 141 |
+
end - start AS duration,
|
| 142 |
+
'MEMORY_OPER' AS category
|
| 143 |
+
FROM
|
| 144 |
+
CUPTI_ACTIVITY_KIND_MEMSET
|
| 145 |
+
"""
|
| 146 |
+
|
| 147 |
+
query_union = """
|
| 148 |
+
UNION ALL
|
| 149 |
+
"""
|
| 150 |
+
|
| 151 |
+
_arg_opts = [
|
| 152 |
+
[['nvtx-name'], {'action': 'store_true'}],
|
| 153 |
+
[['base'], {'action': 'store_true'}],
|
| 154 |
+
[['mangled'], {'action': 'store_true'}],
|
| 155 |
+
]
|
| 156 |
+
|
| 157 |
+
table_checks = {
|
| 158 |
+
'StringIds': '{DBFILE} file does not contain StringIds table.'
|
| 159 |
+
}
|
| 160 |
+
|
| 161 |
+
def setup(self):
|
| 162 |
+
err = super().setup()
|
| 163 |
+
if err != None:
|
| 164 |
+
return err
|
| 165 |
+
|
| 166 |
+
sub_queries = []
|
| 167 |
+
|
| 168 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_RUNTIME'):
|
| 169 |
+
sub_queries.append(self.query_runtime)
|
| 170 |
+
|
| 171 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_KERNEL'):
|
| 172 |
+
err = kernel_helper.create_kernel_view(self)
|
| 173 |
+
if err != None:
|
| 174 |
+
return err
|
| 175 |
+
sub_queries.append(self.query_kernel)
|
| 176 |
+
|
| 177 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMCPY'):
|
| 178 |
+
if not self.table_exists('ENUM_CUDA_MEMCPY_OPER'):
|
| 179 |
+
return '{DBFILE} does not contain ENUM_CUDA_MEMCPY_OPER table.'
|
| 180 |
+
sub_queries.append(self.query_memcpy)
|
| 181 |
+
|
| 182 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMSET'):
|
| 183 |
+
sub_queries.append(self.query_memset)
|
| 184 |
+
|
| 185 |
+
if len(sub_queries) == 0:
|
| 186 |
+
return '{DBFILE} does not contain CUDA API, GPU kernel, nor memory operations data.'
|
| 187 |
+
|
| 188 |
+
self.query = self.query_stub.format(SUB_QUERY = self.query_union.join(sub_queries))
|
| 189 |
+
|
| 190 |
+
if __name__ == "__main__":
|
| 191 |
+
CudaApiGpuSum.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cuda_api_sum.py
ADDED
|
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class CudaApiSum(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'CUDA API Summary'
|
| 18 |
+
usage = f"""{{SCRIPT}} -- {{DISPLAY_NAME}}
|
| 19 |
+
|
| 20 |
+
No arguments.
|
| 21 |
+
|
| 22 |
+
Output: All time values default to nanoseconds
|
| 23 |
+
Time : Percentage of "Total Time"
|
| 24 |
+
Total Time : Total time used by all executions of this function
|
| 25 |
+
Num Calls : Number of calls to this function
|
| 26 |
+
Avg : Average execution time of this function
|
| 27 |
+
Med : Median execution time of this function
|
| 28 |
+
Min : Smallest execution time of this function
|
| 29 |
+
Max : Largest execution time of this function
|
| 30 |
+
StdDev : Standard deviation of the time of this function
|
| 31 |
+
Name : Name of the function
|
| 32 |
+
|
| 33 |
+
This report provides a summary of CUDA API functions and their
|
| 34 |
+
execution times. Note that the "Time" column is calculated
|
| 35 |
+
using a summation of the "Total Time" column, and represents that
|
| 36 |
+
function's percent of the execution time of the functions listed,
|
| 37 |
+
and not a percentage of the application wall or CPU execution time.
|
| 38 |
+
"""
|
| 39 |
+
|
| 40 |
+
query = """
|
| 41 |
+
WITH
|
| 42 |
+
summary AS (
|
| 43 |
+
SELECT
|
| 44 |
+
nameId AS nameId,
|
| 45 |
+
sum(end - start) AS total,
|
| 46 |
+
count(*) AS num,
|
| 47 |
+
avg(end - start) AS avg,
|
| 48 |
+
median(end - start) AS med,
|
| 49 |
+
min(end - start) AS min,
|
| 50 |
+
max(end - start) AS max,
|
| 51 |
+
stdev(end - start) AS stddev,
|
| 52 |
+
lower_quartile(end - start) AS q1,
|
| 53 |
+
upper_quartile(end - start) AS q3
|
| 54 |
+
FROM
|
| 55 |
+
CUPTI_ACTIVITY_KIND_RUNTIME
|
| 56 |
+
GROUP BY 1
|
| 57 |
+
),
|
| 58 |
+
totals AS (
|
| 59 |
+
SELECT sum(total) AS total
|
| 60 |
+
FROM summary
|
| 61 |
+
)
|
| 62 |
+
SELECT
|
| 63 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 64 |
+
summary.total AS "Total Time:dur_ns",
|
| 65 |
+
summary.num AS "Num Calls",
|
| 66 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 67 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 68 |
+
summary.min AS "Min:dur_ns",
|
| 69 |
+
summary.max AS "Max:dur_ns",
|
| 70 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 71 |
+
CASE substr(ids.value, -6, 2)
|
| 72 |
+
WHEN '_v'
|
| 73 |
+
THEN substr(ids.value, 1, length(value)-6)
|
| 74 |
+
ELSE ids.value
|
| 75 |
+
END AS "Name",
|
| 76 |
+
summary.q1 AS "_Q1",
|
| 77 |
+
summary.q3 AS "_Q3"
|
| 78 |
+
FROM
|
| 79 |
+
summary
|
| 80 |
+
LEFT JOIN
|
| 81 |
+
StringIds AS ids
|
| 82 |
+
ON ids.id == summary.nameId
|
| 83 |
+
ORDER BY 2 DESC
|
| 84 |
+
;
|
| 85 |
+
"""
|
| 86 |
+
|
| 87 |
+
table_checks = {
|
| 88 |
+
'StringIds': '{DBFILE} file does not contain StringIds table.',
|
| 89 |
+
'CUPTI_ACTIVITY_KIND_RUNTIME':
|
| 90 |
+
'{DBFILE} does not contain CUDA trace data.'
|
| 91 |
+
}
|
| 92 |
+
|
| 93 |
+
if __name__ == "__main__":
|
| 94 |
+
CudaApiSum.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cuda_api_trace.py
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class CudaApiTrace(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'CUDA API Trace'
|
| 18 |
+
usage = f"""{{SCRIPT}} -- {{DISPLAY_NAME}}
|
| 19 |
+
|
| 20 |
+
No arguments.
|
| 21 |
+
|
| 22 |
+
Output: All time values default to nanoseconds
|
| 23 |
+
Start : Timestamp when API call was made
|
| 24 |
+
Duration : Length of API calls
|
| 25 |
+
Name : API function name
|
| 26 |
+
Result : Return value of API call
|
| 27 |
+
CorrID : Correlation used to map to other CUDA calls
|
| 28 |
+
Pid : Process ID that made the call
|
| 29 |
+
Tid : Tread ID that made the call
|
| 30 |
+
T-Pri : Run priority of call thread
|
| 31 |
+
Thread Name : Name of thread that called API function
|
| 32 |
+
|
| 33 |
+
This report provides a trace record of CUDA API function calls and
|
| 34 |
+
their execution times.
|
| 35 |
+
"""
|
| 36 |
+
|
| 37 |
+
query = """
|
| 38 |
+
SELECT
|
| 39 |
+
api.start AS "Start:ts_ns",
|
| 40 |
+
api.end - api.start AS "Duration:dur_ns",
|
| 41 |
+
CASE substr(nstr.value, -6, 2)
|
| 42 |
+
WHEN '_v'THEN substr(nstr.value, 1, length(nstr.value)-6)
|
| 43 |
+
ELSE nstr.value
|
| 44 |
+
END AS "Name",
|
| 45 |
+
api.returnValue AS "Result",
|
| 46 |
+
api.correlationId AS "CorrID",
|
| 47 |
+
-- (api.globalTid >> 40) & 0xFF AS "HWid",
|
| 48 |
+
-- (api.globalTid >> 32) & 0xFF AS "VMid",
|
| 49 |
+
(api.globalTid >> 24) & 0xFFFFFF AS "Pid",
|
| 50 |
+
(api.globalTid ) & 0xFFFFFF AS "Tid",
|
| 51 |
+
tname.priority AS "T-Pri",
|
| 52 |
+
tstr.value AS "Thread Name"
|
| 53 |
+
FROM
|
| 54 |
+
CUPTI_ACTIVITY_KIND_RUNTIME AS api
|
| 55 |
+
LEFT OUTER JOIN
|
| 56 |
+
StringIds AS nstr
|
| 57 |
+
ON nstr.id == api.nameId
|
| 58 |
+
LEFT OUTER JOIN
|
| 59 |
+
ThreadNames AS tname
|
| 60 |
+
ON tname.globalTid == api.globalTid
|
| 61 |
+
LEFT OUTER JOIN
|
| 62 |
+
StringIds AS tstr
|
| 63 |
+
ON tstr.id == tname.nameId
|
| 64 |
+
ORDER BY 1
|
| 65 |
+
;
|
| 66 |
+
"""
|
| 67 |
+
|
| 68 |
+
table_checks = {
|
| 69 |
+
'StringIds': '{DBFILE} file does not contain StringIds table.',
|
| 70 |
+
'ThreadNames': '{DBFILE} file does not contain ThreadNames table.',
|
| 71 |
+
'CUPTI_ACTIVITY_KIND_RUNTIME':
|
| 72 |
+
'{DBFILE} does not contain CUDA trace data.'
|
| 73 |
+
}
|
| 74 |
+
|
| 75 |
+
if __name__ == "__main__":
|
| 76 |
+
CudaApiTrace.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cuda_gpu_kern_gb_sum.py
ADDED
|
@@ -0,0 +1,123 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import kernel_helper
|
| 14 |
+
import nsysstats
|
| 15 |
+
|
| 16 |
+
class CudaGpuKernGBSum(nsysstats.StatsReport):
|
| 17 |
+
|
| 18 |
+
display_name = 'CUDA GPU Kernel/Grid/Block Summary'
|
| 19 |
+
usage = f"""{{SCRIPT}}[:nvtx-name][:base|:mangled] -- {{DISPLAY_NAME}}
|
| 20 |
+
|
| 21 |
+
nvtx-name - Optional argument, if given, will prefix the kernel name with
|
| 22 |
+
the name of the innermost enclosing NVTX range.
|
| 23 |
+
|
| 24 |
+
base - Optional argument, if given, will cause summary to be over the
|
| 25 |
+
base name of the kernel, rather than the templated name.
|
| 26 |
+
|
| 27 |
+
mangled - Optional argument, if given, will cause summary to be over the
|
| 28 |
+
raw mangled name of the kernel, rather than the templated name.
|
| 29 |
+
|
| 30 |
+
Note: the ability to display mangled names is a recent addition to the
|
| 31 |
+
report file format, and requires that the profile data be captured with
|
| 32 |
+
a recent version of Nsys. Re-exporting an existing report file is not
|
| 33 |
+
sufficient. If the raw, mangled kernel name data is not available, the
|
| 34 |
+
default demangled names will be used.
|
| 35 |
+
|
| 36 |
+
Output: All time values default to nanoseconds
|
| 37 |
+
Time : Percentage of "Total Time"
|
| 38 |
+
Total Time : Total time used by all executions of this kernel
|
| 39 |
+
Instances : Number of calls to this kernel
|
| 40 |
+
Avg : Average execution time of this kernel
|
| 41 |
+
Med : Median execution time of this kernel
|
| 42 |
+
Min : Smallest execution time of this kernel
|
| 43 |
+
Max : Largest execution time of this kernel
|
| 44 |
+
StdDev : Standard deviation of the time of this kernel
|
| 45 |
+
GridXYZ : Grid dimensions for kernel launch call
|
| 46 |
+
BlockXYZ : Block dimensions for kernel launch call
|
| 47 |
+
Name : Name of the kernel
|
| 48 |
+
|
| 49 |
+
This report provides a summary of CUDA kernels and their execution times.
|
| 50 |
+
Kernels are sorted by grid dimensions, block dimensions, and kernel name.
|
| 51 |
+
Note that the "Time" column is calculated using a summation of the "Total
|
| 52 |
+
Time" column, and represents that kernel's percent of the execution time
|
| 53 |
+
of the kernels listed, and not a percentage of the application wall or
|
| 54 |
+
CPU execution time.
|
| 55 |
+
"""
|
| 56 |
+
|
| 57 |
+
query = """
|
| 58 |
+
WITH
|
| 59 |
+
summary AS (
|
| 60 |
+
SELECT
|
| 61 |
+
name,
|
| 62 |
+
sum(end - start) AS total,
|
| 63 |
+
count(*) AS num,
|
| 64 |
+
avg(end - start) AS avg,
|
| 65 |
+
median(end - start) AS med,
|
| 66 |
+
min(end - start) AS min,
|
| 67 |
+
max(end - start) AS max,
|
| 68 |
+
stdev(end - start) AS stddev,
|
| 69 |
+
gridX, gridY, gridZ,
|
| 70 |
+
blockX, blockY, blockZ,
|
| 71 |
+
lower_quartile(end - start) AS q1,
|
| 72 |
+
upper_quartile(end - start) AS q3
|
| 73 |
+
FROM
|
| 74 |
+
CUPTI_ACTIVITY_KIND_KERNEL_NAMED
|
| 75 |
+
GROUP BY 1, gridX, gridY, gridZ, blockX, blockY, blockZ
|
| 76 |
+
),
|
| 77 |
+
totals AS (
|
| 78 |
+
SELECT sum(total) AS total
|
| 79 |
+
FROM summary
|
| 80 |
+
)
|
| 81 |
+
SELECT
|
| 82 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 83 |
+
summary.total AS "Total Time:dur_ns",
|
| 84 |
+
summary.num AS "Instances",
|
| 85 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 86 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 87 |
+
summary.min AS "Min:dur_ns",
|
| 88 |
+
summary.max AS "Max:dur_ns",
|
| 89 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 90 |
+
printf('%4d %4d %4d', gridX, gridY, gridZ) AS "GridXYZ",
|
| 91 |
+
printf('%4d %4d %4d', blockX, blockY, blockZ) AS "BlockXYZ",
|
| 92 |
+
summary.name AS "Name",
|
| 93 |
+
summary.q1 AS "_Q1",
|
| 94 |
+
summary.q3 AS "_Q3"
|
| 95 |
+
FROM
|
| 96 |
+
summary
|
| 97 |
+
ORDER BY 2 DESC, 3, "Name"
|
| 98 |
+
;
|
| 99 |
+
"""
|
| 100 |
+
|
| 101 |
+
table_checks = {
|
| 102 |
+
'StringIds': '{DBFILE} file does not contain StringIds table.',
|
| 103 |
+
'CUPTI_ACTIVITY_KIND_KERNEL':
|
| 104 |
+
'{DBFILE} does not contain CUDA kernel data.'
|
| 105 |
+
}
|
| 106 |
+
|
| 107 |
+
_arg_opts = [
|
| 108 |
+
[['nvtx-name'], {'action': 'store_true'}],
|
| 109 |
+
[['base'], {'action': 'store_true'}],
|
| 110 |
+
[['mangled'], {'action': 'store_true'}],
|
| 111 |
+
]
|
| 112 |
+
|
| 113 |
+
def setup(self):
|
| 114 |
+
err = super().setup()
|
| 115 |
+
if err != None:
|
| 116 |
+
return err
|
| 117 |
+
|
| 118 |
+
err = kernel_helper.create_kernel_view(self)
|
| 119 |
+
if err != None:
|
| 120 |
+
return err
|
| 121 |
+
|
| 122 |
+
if __name__ == "__main__":
|
| 123 |
+
CudaGpuKernGBSum.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cuda_gpu_kern_sum.py
ADDED
|
@@ -0,0 +1,125 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import kernel_helper
|
| 14 |
+
import nsysstats
|
| 15 |
+
|
| 16 |
+
class CudaGpuKernSum(nsysstats.StatsReport):
|
| 17 |
+
|
| 18 |
+
display_name = 'CUDA GPU Kernel Summary'
|
| 19 |
+
usage = f"""{{SCRIPT}}[:nvtx-name][:base|:mangled] -- {{DISPLAY_NAME}}
|
| 20 |
+
|
| 21 |
+
PLEASE NOTE: In recent versions of Nsight Systems, this report was expanded
|
| 22 |
+
to include and sort by CUDA grid and block dimensions. This change was
|
| 23 |
+
made to accommodate developers doing a certain type of optimization work.
|
| 24 |
+
Unfortunately, this change caused an unexpected burden for developers doing
|
| 25 |
+
a different type of optimization work. In order to service both use-cases,
|
| 26 |
+
this report has been returned to the original form, without grid or block
|
| 27 |
+
information. A new report, called "cuda_gpu_kern_gb_sum", has been created
|
| 28 |
+
that retains the grid and block information.
|
| 29 |
+
|
| 30 |
+
nvtx-name - Optional argument, if given, will prefix the kernel name with
|
| 31 |
+
the name of the innermost enclosing NVTX range.
|
| 32 |
+
|
| 33 |
+
base - Optional argument, if given, will cause summary to be over the
|
| 34 |
+
base name of the kernel, rather than the templated name.
|
| 35 |
+
|
| 36 |
+
mangled - Optional argument, if given, will cause summary to be over the
|
| 37 |
+
raw mangled name of the kernel, rather than the templated name.
|
| 38 |
+
|
| 39 |
+
Note: the ability to display mangled names is a recent addition to the
|
| 40 |
+
report file format, and requires that the profile data be captured with
|
| 41 |
+
a recent version of Nsys. Re-exporting an existing report file is not
|
| 42 |
+
sufficient. If the raw, mangled kernel name data is not available, the
|
| 43 |
+
default demangled names will be used.
|
| 44 |
+
|
| 45 |
+
Output: All time values default to nanoseconds
|
| 46 |
+
Time : Percentage of "Total Time"
|
| 47 |
+
Total Time : Total time used by all executions of this kernel
|
| 48 |
+
Instances : Number of calls to this kernel
|
| 49 |
+
Avg : Average execution time of this kernel
|
| 50 |
+
Med : Median execution time of this kernel
|
| 51 |
+
Min : Smallest execution time of this kernel
|
| 52 |
+
Max : Largest execution time of this kernel
|
| 53 |
+
StdDev : Standard deviation of the time of this kernel
|
| 54 |
+
Name : Name of the kernel
|
| 55 |
+
|
| 56 |
+
This report provides a summary of CUDA kernels and their execution times.
|
| 57 |
+
Note that the "Time" column is calculated using a summation of the "Total
|
| 58 |
+
Time" column, and represents that kernel's percent of the execution time
|
| 59 |
+
of the kernels listed, and not a percentage of the application wall or
|
| 60 |
+
CPU execution time.
|
| 61 |
+
"""
|
| 62 |
+
|
| 63 |
+
query = """
|
| 64 |
+
WITH
|
| 65 |
+
summary AS (
|
| 66 |
+
SELECT
|
| 67 |
+
name,
|
| 68 |
+
sum(end - start) AS total,
|
| 69 |
+
count(*) AS num,
|
| 70 |
+
avg(end - start) AS avg,
|
| 71 |
+
median(end - start) AS med,
|
| 72 |
+
min(end - start) AS min,
|
| 73 |
+
max(end - start) AS max,
|
| 74 |
+
stdev(end - start) AS stddev,
|
| 75 |
+
lower_quartile(end - start) AS q1,
|
| 76 |
+
upper_quartile(end - start) AS q3
|
| 77 |
+
FROM
|
| 78 |
+
CUPTI_ACTIVITY_KIND_KERNEL_NAMED
|
| 79 |
+
GROUP BY 1
|
| 80 |
+
),
|
| 81 |
+
totals AS (
|
| 82 |
+
SELECT sum(total) AS total
|
| 83 |
+
FROM summary
|
| 84 |
+
)
|
| 85 |
+
SELECT
|
| 86 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 87 |
+
summary.total AS "Total Time:dur_ns",
|
| 88 |
+
summary.num AS "Instances",
|
| 89 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 90 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 91 |
+
summary.min AS "Min:dur_ns",
|
| 92 |
+
summary.max AS "Max:dur_ns",
|
| 93 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 94 |
+
summary.name AS "Name",
|
| 95 |
+
summary.q1 AS "_Q1",
|
| 96 |
+
summary.q3 AS "_Q3"
|
| 97 |
+
FROM
|
| 98 |
+
summary
|
| 99 |
+
ORDER BY 2 DESC, 3, "Name"
|
| 100 |
+
;
|
| 101 |
+
"""
|
| 102 |
+
|
| 103 |
+
table_checks = {
|
| 104 |
+
'StringIds': '{DBFILE} file does not contain StringIds table.',
|
| 105 |
+
'CUPTI_ACTIVITY_KIND_KERNEL':
|
| 106 |
+
'{DBFILE} does not contain CUDA kernel data.'
|
| 107 |
+
}
|
| 108 |
+
|
| 109 |
+
_arg_opts = [
|
| 110 |
+
[['nvtx-name'], {'action': 'store_true'}],
|
| 111 |
+
[['base'], {'action': 'store_true'}],
|
| 112 |
+
[['mangled'], {'action': 'store_true'}],
|
| 113 |
+
]
|
| 114 |
+
|
| 115 |
+
def setup(self):
|
| 116 |
+
err = super().setup()
|
| 117 |
+
if err != None:
|
| 118 |
+
return err
|
| 119 |
+
|
| 120 |
+
err = kernel_helper.create_kernel_view(self)
|
| 121 |
+
if err != None:
|
| 122 |
+
return err
|
| 123 |
+
|
| 124 |
+
if __name__ == "__main__":
|
| 125 |
+
CudaGpuKernSum.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cuda_gpu_mem_size_sum.py
ADDED
|
@@ -0,0 +1,116 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
class CudaGpuMemSizeSum(nsysstats.StatsReport):
|
| 15 |
+
|
| 16 |
+
display_name = 'CUDA GPU MemOps Summary (by Size)'
|
| 17 |
+
usage = f"""{{SCRIPT}} -- {{DISPLAY_NAME}}
|
| 18 |
+
|
| 19 |
+
No arguments.
|
| 20 |
+
|
| 21 |
+
Output:
|
| 22 |
+
Total : Total memory utilized by this operation
|
| 23 |
+
Count : Number of executions of this operation
|
| 24 |
+
Avg : Average memory size of this operation
|
| 25 |
+
Med : Median memory size of this operation
|
| 26 |
+
Min : Smallest memory size of this operation
|
| 27 |
+
Max : Largest memory size of this operation
|
| 28 |
+
StdDev : Standard deviation of the memory size of this operation
|
| 29 |
+
Operation : Name of the operation
|
| 30 |
+
|
| 31 |
+
This report provides a summary of GPU memory operations and
|
| 32 |
+
the amount of memory they utilize.
|
| 33 |
+
"""
|
| 34 |
+
|
| 35 |
+
query_stub = """
|
| 36 |
+
WITH
|
| 37 |
+
memops AS (
|
| 38 |
+
{MEM_SUB_QUERY}
|
| 39 |
+
),
|
| 40 |
+
summary AS (
|
| 41 |
+
SELECT
|
| 42 |
+
name AS name,
|
| 43 |
+
sum(size) AS total,
|
| 44 |
+
count(*) AS num,
|
| 45 |
+
avg(size) AS avg,
|
| 46 |
+
median(size) AS med,
|
| 47 |
+
min(size) AS min,
|
| 48 |
+
max(size) AS max,
|
| 49 |
+
stdev(size) AS stddev,
|
| 50 |
+
lower_quartile(size) AS q1,
|
| 51 |
+
upper_quartile(size) AS q3
|
| 52 |
+
FROM memops
|
| 53 |
+
GROUP BY 1
|
| 54 |
+
)
|
| 55 |
+
SELECT
|
| 56 |
+
summary.total AS "Total:mem_B",
|
| 57 |
+
summary.num AS "Count",
|
| 58 |
+
summary.avg AS "Avg:mem_B",
|
| 59 |
+
summary.med AS "Med:mem_B",
|
| 60 |
+
summary.min AS "Min:mem_B",
|
| 61 |
+
summary.max AS "Max:mem_B",
|
| 62 |
+
summary.stddev AS "StdDev:mem_B",
|
| 63 |
+
summary.name AS "Operation",
|
| 64 |
+
summary.q1 AS "_Q1",
|
| 65 |
+
summary.q3 AS "_Q3"
|
| 66 |
+
FROM
|
| 67 |
+
summary
|
| 68 |
+
ORDER BY 1 DESC
|
| 69 |
+
;
|
| 70 |
+
"""
|
| 71 |
+
|
| 72 |
+
query_memcpy = """
|
| 73 |
+
SELECT
|
| 74 |
+
'[CUDA memcpy ' || mos.label || ']' AS name,
|
| 75 |
+
mcpy.bytes AS size
|
| 76 |
+
FROM
|
| 77 |
+
CUPTI_ACTIVITY_KIND_MEMCPY as mcpy
|
| 78 |
+
INNER JOIN
|
| 79 |
+
ENUM_CUDA_MEMCPY_OPER AS mos
|
| 80 |
+
ON mos.id == mcpy.copyKind
|
| 81 |
+
"""
|
| 82 |
+
|
| 83 |
+
query_memset = """
|
| 84 |
+
SELECT
|
| 85 |
+
'[CUDA memset]' AS name,
|
| 86 |
+
bytes AS size
|
| 87 |
+
FROM
|
| 88 |
+
CUPTI_ACTIVITY_KIND_MEMSET
|
| 89 |
+
"""
|
| 90 |
+
|
| 91 |
+
query_union = """
|
| 92 |
+
UNION ALL
|
| 93 |
+
"""
|
| 94 |
+
|
| 95 |
+
def setup(self):
|
| 96 |
+
err = super().setup()
|
| 97 |
+
if err != None:
|
| 98 |
+
return err
|
| 99 |
+
|
| 100 |
+
sub_queries = []
|
| 101 |
+
|
| 102 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMCPY'):
|
| 103 |
+
if not self.table_exists('ENUM_CUDA_MEMCPY_OPER'):
|
| 104 |
+
return '{DBFILE} does not contain ENUM_CUDA_MEMCPY_OPER table.'
|
| 105 |
+
sub_queries.append(self.query_memcpy)
|
| 106 |
+
|
| 107 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMSET'):
|
| 108 |
+
sub_queries.append(self.query_memset)
|
| 109 |
+
|
| 110 |
+
if len(sub_queries) == 0:
|
| 111 |
+
return "{DBFILE} does not contain GPU memory data."
|
| 112 |
+
|
| 113 |
+
self.query = self.query_stub.format(MEM_SUB_QUERY = self.query_union.join(sub_queries))
|
| 114 |
+
|
| 115 |
+
if __name__ == "__main__":
|
| 116 |
+
CudaGpuMemSizeSum.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cuda_gpu_mem_time_sum.py
ADDED
|
@@ -0,0 +1,127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class CudaGpuMemTimeSum(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'CUDA GPU MemOps Summary (by Time)'
|
| 18 |
+
usage = f"""{{SCRIPT}} -- {{DISPLAY_NAME}}
|
| 19 |
+
|
| 20 |
+
No arguments.
|
| 21 |
+
|
| 22 |
+
Output: All time values default to nanoseconds
|
| 23 |
+
Time : Percentage of "Total Time"
|
| 24 |
+
Total Time : Total time used by all executions of this operation
|
| 25 |
+
Count : Number of operations to this type
|
| 26 |
+
Avg : Average execution time of this operation
|
| 27 |
+
Med : Median execution time of this operation
|
| 28 |
+
Min : Smallest execution time of this operation
|
| 29 |
+
Max : Largest execution time of this operation
|
| 30 |
+
StdDev : Standard deviation of execution time of this operation
|
| 31 |
+
Operation : Name of the memory operation
|
| 32 |
+
|
| 33 |
+
This report provides a summary of GPU memory operations and
|
| 34 |
+
their execution times. Note that the "Time" column is calculated
|
| 35 |
+
using a summation of the "Total Time" column, and represents that
|
| 36 |
+
operation's percent of the execution time of the operations listed,
|
| 37 |
+
and not a percentage of the application wall or CPU execution time.
|
| 38 |
+
"""
|
| 39 |
+
|
| 40 |
+
query_stub = """
|
| 41 |
+
WITH
|
| 42 |
+
memops AS (
|
| 43 |
+
{MEM_SUB_QUERY}
|
| 44 |
+
),
|
| 45 |
+
summary AS (
|
| 46 |
+
SELECT
|
| 47 |
+
name AS name,
|
| 48 |
+
sum(duration) AS total,
|
| 49 |
+
count(*) AS num,
|
| 50 |
+
avg(duration) AS avg,
|
| 51 |
+
median(duration) AS med,
|
| 52 |
+
min(duration) AS min,
|
| 53 |
+
max(duration) AS max,
|
| 54 |
+
stdev(duration) AS stddev,
|
| 55 |
+
lower_quartile(duration) AS q1,
|
| 56 |
+
upper_quartile(duration) AS q3
|
| 57 |
+
FROM
|
| 58 |
+
memops
|
| 59 |
+
GROUP BY 1
|
| 60 |
+
),
|
| 61 |
+
totals AS (
|
| 62 |
+
SELECT sum(total) AS total
|
| 63 |
+
FROM summary
|
| 64 |
+
)
|
| 65 |
+
SELECT
|
| 66 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 67 |
+
summary.total AS "Total Time:dur_ns",
|
| 68 |
+
summary.num AS "Count",
|
| 69 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 70 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 71 |
+
summary.min AS "Min:dur_ns",
|
| 72 |
+
summary.max AS "Max:dur_ns",
|
| 73 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 74 |
+
summary.name AS "Operation",
|
| 75 |
+
summary.q1 AS "_Q1",
|
| 76 |
+
summary.q3 AS "_Q3"
|
| 77 |
+
FROM
|
| 78 |
+
summary
|
| 79 |
+
ORDER BY 2 DESC
|
| 80 |
+
;
|
| 81 |
+
"""
|
| 82 |
+
|
| 83 |
+
query_memcpy = """
|
| 84 |
+
SELECT
|
| 85 |
+
'[CUDA memcpy ' || mos.label || ']' AS name,
|
| 86 |
+
mcpy.end - mcpy.start AS duration
|
| 87 |
+
FROM
|
| 88 |
+
CUPTI_ACTIVITY_KIND_MEMCPY as mcpy
|
| 89 |
+
INNER JOIN
|
| 90 |
+
ENUM_CUDA_MEMCPY_OPER AS mos
|
| 91 |
+
ON mos.id == mcpy.copyKind
|
| 92 |
+
"""
|
| 93 |
+
|
| 94 |
+
query_memset = """
|
| 95 |
+
SELECT
|
| 96 |
+
'[CUDA memset]' AS name,
|
| 97 |
+
end - start AS duration
|
| 98 |
+
FROM
|
| 99 |
+
CUPTI_ACTIVITY_KIND_MEMSET
|
| 100 |
+
"""
|
| 101 |
+
|
| 102 |
+
query_union = """
|
| 103 |
+
UNION ALL
|
| 104 |
+
"""
|
| 105 |
+
|
| 106 |
+
def setup(self):
|
| 107 |
+
err = super().setup()
|
| 108 |
+
if err != None:
|
| 109 |
+
return err
|
| 110 |
+
|
| 111 |
+
sub_queries = []
|
| 112 |
+
|
| 113 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMCPY'):
|
| 114 |
+
if not self.table_exists('ENUM_CUDA_MEMCPY_OPER'):
|
| 115 |
+
return '{DBFILE} does not contain ENUM_CUDA_MEMCPY_OPER table.'
|
| 116 |
+
sub_queries.append(self.query_memcpy)
|
| 117 |
+
|
| 118 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMSET'):
|
| 119 |
+
sub_queries.append(self.query_memset)
|
| 120 |
+
|
| 121 |
+
if len(sub_queries) == 0:
|
| 122 |
+
return "{DBFILE} does not contain GPU memory data."
|
| 123 |
+
|
| 124 |
+
self.query = self.query_stub.format(MEM_SUB_QUERY = self.query_union.join(sub_queries))
|
| 125 |
+
|
| 126 |
+
if __name__ == "__main__":
|
| 127 |
+
CudaGpuMemTimeSum.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cuda_gpu_sum.py
ADDED
|
@@ -0,0 +1,172 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import kernel_helper
|
| 14 |
+
import nsysstats
|
| 15 |
+
|
| 16 |
+
class CudaGpuSum(nsysstats.StatsReport):
|
| 17 |
+
|
| 18 |
+
display_name = 'CUDA GPU Summary (Kernels/MemOps)'
|
| 19 |
+
usage = f"""{{SCRIPT}}[:nvtx-name][:base|:mangled] -- {{DISPLAY_NAME}}
|
| 20 |
+
|
| 21 |
+
nvtx-name - Optional argument, if given, will prefix the kernel name with
|
| 22 |
+
the name of the innermost enclosing NVTX range.
|
| 23 |
+
|
| 24 |
+
base - Optional argument, if given, will cause summary to be over the
|
| 25 |
+
base name of the kernel, rather than the templated name.
|
| 26 |
+
|
| 27 |
+
mangled - Optional argument, if given, will cause summary to be over the
|
| 28 |
+
raw mangled name of the kernel, rather than the templated name.
|
| 29 |
+
|
| 30 |
+
Note: the ability to display mangled names is a recent addition to the
|
| 31 |
+
report file format, and requires that the profile data be captured with
|
| 32 |
+
a recent version of Nsys. Re-exporting an existing report file is not
|
| 33 |
+
sufficient. If the raw, mangled kernel name data is not available, the
|
| 34 |
+
default demangled names will be used.
|
| 35 |
+
|
| 36 |
+
Output: All time values default to nanoseconds
|
| 37 |
+
Time : Percentage of "Total Time"
|
| 38 |
+
Total Time : Total time used by all executions of this kernel
|
| 39 |
+
Instances : Number of executions of this kernel
|
| 40 |
+
Avg : Average execution time of this kernel
|
| 41 |
+
Med : Median execution time of this kernel
|
| 42 |
+
Min : Smallest execution time of this kernel
|
| 43 |
+
Max : Largest execution time of this kernel
|
| 44 |
+
StdDev : Standard deviation of execution time of this kernel
|
| 45 |
+
Category : Category of the operation
|
| 46 |
+
Operation : Name of the kernel
|
| 47 |
+
|
| 48 |
+
This report provides a summary of CUDA kernels and memory operations,
|
| 49 |
+
and their execution times. Note that the "Time" column is calculated
|
| 50 |
+
using a summation of the "Total Time" column, and represents that
|
| 51 |
+
kernel's or memory operation's percent of the execution time of the
|
| 52 |
+
kernels and memory operations listed, and not a percentage of the
|
| 53 |
+
application wall or CPU execution time.
|
| 54 |
+
|
| 55 |
+
This report combines data from the "cuda_gpu_kern_sum" and
|
| 56 |
+
"cuda_gpu_mem_time_sum" reports. This report is very similar to output of
|
| 57 |
+
the command "nvprof --print-gpu-summary".
|
| 58 |
+
"""
|
| 59 |
+
|
| 60 |
+
query_stub = """
|
| 61 |
+
WITH
|
| 62 |
+
gpuops AS (
|
| 63 |
+
{GPU_SUB_QUERY}
|
| 64 |
+
),
|
| 65 |
+
summary AS (
|
| 66 |
+
SELECT
|
| 67 |
+
name AS name,
|
| 68 |
+
category AS category,
|
| 69 |
+
sum(duration) AS total,
|
| 70 |
+
count(*) AS num,
|
| 71 |
+
avg(duration) AS avg,
|
| 72 |
+
median(duration) AS med,
|
| 73 |
+
min(duration) AS min,
|
| 74 |
+
max(duration) AS max,
|
| 75 |
+
stdev(duration) AS stddev
|
| 76 |
+
FROM
|
| 77 |
+
gpuops
|
| 78 |
+
GROUP BY 1
|
| 79 |
+
),
|
| 80 |
+
totals AS (
|
| 81 |
+
SELECT sum(total) AS total
|
| 82 |
+
FROM summary
|
| 83 |
+
)
|
| 84 |
+
SELECT
|
| 85 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 86 |
+
summary.total AS "Total Time:dur_ns",
|
| 87 |
+
summary.num AS "Instances",
|
| 88 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 89 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 90 |
+
summary.min AS "Min:dur_ns",
|
| 91 |
+
summary.max AS "Max:dur_ns",
|
| 92 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 93 |
+
summary.category AS "Category",
|
| 94 |
+
summary.name AS "Operation"
|
| 95 |
+
FROM
|
| 96 |
+
summary
|
| 97 |
+
ORDER BY 2 DESC
|
| 98 |
+
;
|
| 99 |
+
"""
|
| 100 |
+
|
| 101 |
+
query_kernel = """
|
| 102 |
+
SELECT
|
| 103 |
+
name,
|
| 104 |
+
end - start AS duration,
|
| 105 |
+
'CUDA_KERNEL' AS category
|
| 106 |
+
FROM
|
| 107 |
+
CUPTI_ACTIVITY_KIND_KERNEL_NAMED
|
| 108 |
+
"""
|
| 109 |
+
|
| 110 |
+
query_memcpy = """
|
| 111 |
+
SELECT
|
| 112 |
+
'[CUDA memcpy ' || mos.label || ']' AS name,
|
| 113 |
+
mcpy.end - mcpy.start AS duration,
|
| 114 |
+
'MEMORY_OPER' AS category
|
| 115 |
+
FROM
|
| 116 |
+
CUPTI_ACTIVITY_KIND_MEMCPY as mcpy
|
| 117 |
+
JOIN
|
| 118 |
+
ENUM_CUDA_MEMCPY_OPER AS mos
|
| 119 |
+
ON mos.id == mcpy.copyKind
|
| 120 |
+
"""
|
| 121 |
+
|
| 122 |
+
query_memset = """
|
| 123 |
+
SELECT
|
| 124 |
+
'[CUDA memset]' AS name,
|
| 125 |
+
end - start AS duration,
|
| 126 |
+
'MEMORY_OPER' AS category
|
| 127 |
+
FROM
|
| 128 |
+
CUPTI_ACTIVITY_KIND_MEMSET
|
| 129 |
+
"""
|
| 130 |
+
|
| 131 |
+
query_union = """
|
| 132 |
+
UNION ALL
|
| 133 |
+
"""
|
| 134 |
+
|
| 135 |
+
table_checks = {
|
| 136 |
+
'StringIds': '{DBFILE} file does not contain StringIds table.'
|
| 137 |
+
}
|
| 138 |
+
|
| 139 |
+
_arg_opts = [
|
| 140 |
+
[['nvtx-name'], {'action': 'store_true'}],
|
| 141 |
+
[['base'], {'action': 'store_true'}],
|
| 142 |
+
[['mangled'], {'action': 'store_true'}],
|
| 143 |
+
]
|
| 144 |
+
|
| 145 |
+
def setup(self):
|
| 146 |
+
err = super().setup()
|
| 147 |
+
if err != None:
|
| 148 |
+
return err
|
| 149 |
+
|
| 150 |
+
sub_queries = []
|
| 151 |
+
|
| 152 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_KERNEL'):
|
| 153 |
+
err = kernel_helper.create_kernel_view(self)
|
| 154 |
+
if err != None:
|
| 155 |
+
return err
|
| 156 |
+
sub_queries.append(self.query_kernel)
|
| 157 |
+
|
| 158 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMCPY'):
|
| 159 |
+
if not self.table_exists('ENUM_CUDA_MEMCPY_OPER'):
|
| 160 |
+
return '{DBFILE} does not contain ENUM_CUDA_MEMCPY_OPER table.'
|
| 161 |
+
sub_queries.append(self.query_memcpy)
|
| 162 |
+
|
| 163 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMSET'):
|
| 164 |
+
sub_queries.append(self.query_memset)
|
| 165 |
+
|
| 166 |
+
if len(sub_queries) == 0:
|
| 167 |
+
return "{DBFILE} does not contain GPU kernel/memory operations data."
|
| 168 |
+
|
| 169 |
+
self.query = self.query_stub.format(GPU_SUB_QUERY = self.query_union.join(sub_queries))
|
| 170 |
+
|
| 171 |
+
if __name__ == "__main__":
|
| 172 |
+
CudaGpuSum.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cuda_gpu_trace.py
ADDED
|
@@ -0,0 +1,257 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import kernel_helper
|
| 14 |
+
import nsysstats
|
| 15 |
+
|
| 16 |
+
class CudaGpuTrace(nsysstats.StatsReport):
|
| 17 |
+
|
| 18 |
+
display_name = 'CUDA GPU Trace'
|
| 19 |
+
usage = f"""{{SCRIPT}}[:nvtx-name][:base|:mangled] -- {{DISPLAY_NAME}}
|
| 20 |
+
|
| 21 |
+
nvtx-name - Optional argument, if given, will prefix the kernel name with
|
| 22 |
+
the name of the innermost enclosing NVTX range.
|
| 23 |
+
|
| 24 |
+
base - Optional argument, if given, will display the base name of the
|
| 25 |
+
kernel, rather than the templated name.
|
| 26 |
+
|
| 27 |
+
mangled - Optional argument, if given, will display the raw mangled name
|
| 28 |
+
of the kernel, rather than the templated name.
|
| 29 |
+
|
| 30 |
+
Note: the ability to display mangled names is a recent addition to the
|
| 31 |
+
report file format, and requires that the profile data be captured with
|
| 32 |
+
a recent version of Nsys. Re-exporting an existing report file is not
|
| 33 |
+
sufficient. If the raw, mangled kernel name data is not available, the
|
| 34 |
+
default demangled names will be used.
|
| 35 |
+
|
| 36 |
+
Output: All time values default to nanoseconds
|
| 37 |
+
Start : Timestamp of start time
|
| 38 |
+
Duration : Length of event
|
| 39 |
+
CorrId : Correlation ID
|
| 40 |
+
GrdX, GrdY, GrdZ : Grid values
|
| 41 |
+
BlkX, BlkY, BlkZ : Block values
|
| 42 |
+
Reg/Trd : Registers per thread
|
| 43 |
+
StcSMem : Size of Static Shared Memory
|
| 44 |
+
DymSMem : Size of Dynamic Shared Memory
|
| 45 |
+
Bytes : Size of memory operation
|
| 46 |
+
Throughput : Memory throughput
|
| 47 |
+
SrcMemKd : Memcpy source memory kind or memset memory kind
|
| 48 |
+
DstMemKd : Memcpy destination memory kind
|
| 49 |
+
Device : GPU device name and ID
|
| 50 |
+
Ctx : Context ID
|
| 51 |
+
GreenCtx: Green context ID
|
| 52 |
+
Strm : Stream ID
|
| 53 |
+
Name : Trace event name
|
| 54 |
+
|
| 55 |
+
This report displays a trace of CUDA kernels and memory operations.
|
| 56 |
+
Items are sorted by start time.
|
| 57 |
+
"""
|
| 58 |
+
|
| 59 |
+
query_stub = """
|
| 60 |
+
WITH
|
| 61 |
+
recs AS (
|
| 62 |
+
{GPU_SUB_QUERY}
|
| 63 |
+
)
|
| 64 |
+
SELECT
|
| 65 |
+
start AS "Start:ts_ns",
|
| 66 |
+
duration AS "Duration:dur_ns",
|
| 67 |
+
correlation AS "CorrId",
|
| 68 |
+
gridX AS "GrdX",
|
| 69 |
+
gridY AS "GrdY",
|
| 70 |
+
gridZ AS "GrdZ",
|
| 71 |
+
blockX AS "BlkX",
|
| 72 |
+
blockY AS "BlkY",
|
| 73 |
+
blockZ AS "BlkZ",
|
| 74 |
+
regsperthread AS "Reg/Trd",
|
| 75 |
+
ssmembytes AS "StcSMem:mem_B",
|
| 76 |
+
dsmembytes AS "DymSMem:mem_B",
|
| 77 |
+
bytes AS "Bytes:mem_B",
|
| 78 |
+
CASE
|
| 79 |
+
WHEN bytes IS NULL
|
| 80 |
+
THEN NULL
|
| 81 |
+
ELSE
|
| 82 |
+
bytes * (1000000000 / duration)
|
| 83 |
+
END AS "Throughput:thru_B",
|
| 84 |
+
srcmemkind AS "SrcMemKd",
|
| 85 |
+
dstmemkind AS "DstMemKd",
|
| 86 |
+
device AS "Device",
|
| 87 |
+
context AS "Ctx",
|
| 88 |
+
NULLIF(greenContext, 0) AS "GreenCtx",
|
| 89 |
+
stream AS "Strm",
|
| 90 |
+
name AS "Name"
|
| 91 |
+
FROM
|
| 92 |
+
recs
|
| 93 |
+
ORDER BY start;
|
| 94 |
+
"""
|
| 95 |
+
|
| 96 |
+
query_kernel = """
|
| 97 |
+
SELECT
|
| 98 |
+
start AS "start",
|
| 99 |
+
(end - start) AS "duration",
|
| 100 |
+
gridX AS "gridX",
|
| 101 |
+
gridY AS "gridY",
|
| 102 |
+
gridZ AS "gridZ",
|
| 103 |
+
blockX AS "blockX",
|
| 104 |
+
blockY AS "blockY",
|
| 105 |
+
blockZ AS "blockZ",
|
| 106 |
+
registersPerThread AS "regsperthread",
|
| 107 |
+
staticSharedMemory AS "ssmembytes",
|
| 108 |
+
dynamicSharedMemory AS "dsmembytes",
|
| 109 |
+
NULL AS "bytes",
|
| 110 |
+
NULL AS "srcmemkind",
|
| 111 |
+
NULL AS "dstmemkind",
|
| 112 |
+
NULL AS "memsetval",
|
| 113 |
+
printf('%s (%d)', gpu.name, deviceId) AS "device",
|
| 114 |
+
contextId AS "context",
|
| 115 |
+
greenContextId AS "greenContext",
|
| 116 |
+
streamId AS "stream",
|
| 117 |
+
kern.name AS "name",
|
| 118 |
+
correlationId AS "correlation"
|
| 119 |
+
FROM
|
| 120 |
+
CUPTI_ACTIVITY_KIND_KERNEL_NAMED AS kern
|
| 121 |
+
LEFT JOIN
|
| 122 |
+
TARGET_INFO_GPU AS gpu
|
| 123 |
+
ON gpu.id == kern.deviceId
|
| 124 |
+
"""
|
| 125 |
+
|
| 126 |
+
query_memcpy = """
|
| 127 |
+
SELECT
|
| 128 |
+
start AS "start",
|
| 129 |
+
(end - start) AS "duration",
|
| 130 |
+
NULL AS "gridX",
|
| 131 |
+
NULL AS "gridY",
|
| 132 |
+
NULL AS "gridZ",
|
| 133 |
+
NULL AS "blockX",
|
| 134 |
+
NULL AS "blockY",
|
| 135 |
+
NULL AS "blockZ",
|
| 136 |
+
NULL AS "regsperthread",
|
| 137 |
+
NULL AS "ssmembytes",
|
| 138 |
+
NULL AS "dsmembytes",
|
| 139 |
+
bytes AS "bytes",
|
| 140 |
+
msrck.label AS "srcmemkind",
|
| 141 |
+
mdstk.label AS "dstmemkind",
|
| 142 |
+
NULL AS "memsetval",
|
| 143 |
+
printf('%s (%d)', gpu.name, deviceId) AS "device",
|
| 144 |
+
contextId AS "context",
|
| 145 |
+
greenContextId AS "greenContext",
|
| 146 |
+
streamId AS "stream",
|
| 147 |
+
'[CUDA memcpy ' || memopstr.label || ']' AS "name",
|
| 148 |
+
correlationId AS "correlation"
|
| 149 |
+
FROM
|
| 150 |
+
CUPTI_ACTIVITY_KIND_MEMCPY AS memcpy
|
| 151 |
+
LEFT JOIN
|
| 152 |
+
ENUM_CUDA_MEMCPY_OPER AS memopstr
|
| 153 |
+
ON memcpy.copyKind == memopstr.id
|
| 154 |
+
LEFT JOIN
|
| 155 |
+
ENUM_CUDA_MEM_KIND AS msrck
|
| 156 |
+
ON memcpy.srcKind == msrck.id
|
| 157 |
+
LEFT JOIN
|
| 158 |
+
ENUM_CUDA_MEM_KIND AS mdstk
|
| 159 |
+
ON memcpy.dstKind == mdstk.id
|
| 160 |
+
LEFT JOIN
|
| 161 |
+
TARGET_INFO_GPU AS gpu
|
| 162 |
+
ON memcpy.deviceId == gpu.id
|
| 163 |
+
"""
|
| 164 |
+
|
| 165 |
+
query_memset = """
|
| 166 |
+
SELECT
|
| 167 |
+
start AS "start",
|
| 168 |
+
(end - start) AS "duration",
|
| 169 |
+
NULL AS "gridX",
|
| 170 |
+
NULL AS "gridY",
|
| 171 |
+
NULL AS "gridZ",
|
| 172 |
+
NULL AS "blockX",
|
| 173 |
+
NULL AS "blockY",
|
| 174 |
+
NULL AS "blockZ",
|
| 175 |
+
NULL AS "regsperthread",
|
| 176 |
+
NULL AS "ssmembytes",
|
| 177 |
+
NULL AS "dsmembytes",
|
| 178 |
+
bytes AS "bytes",
|
| 179 |
+
mk.label AS "srcmemkind",
|
| 180 |
+
NULL AS "dstmemkind",
|
| 181 |
+
value AS "memsetval",
|
| 182 |
+
printf('%s (%d)', gpu.name, deviceId) AS "device",
|
| 183 |
+
contextId AS "context",
|
| 184 |
+
greenContextId AS "greenContext",
|
| 185 |
+
streamId AS "stream",
|
| 186 |
+
'[CUDA memset]' AS "name",
|
| 187 |
+
correlationId AS "correlation"
|
| 188 |
+
FROM
|
| 189 |
+
CUPTI_ACTIVITY_KIND_MEMSET AS memset
|
| 190 |
+
LEFT JOIN
|
| 191 |
+
ENUM_CUDA_MEM_KIND AS mk
|
| 192 |
+
ON memset.memKind == mk.id
|
| 193 |
+
LEFT JOIN
|
| 194 |
+
TARGET_INFO_GPU AS gpu
|
| 195 |
+
ON memset.deviceId == gpu.id
|
| 196 |
+
"""
|
| 197 |
+
|
| 198 |
+
query_union = """
|
| 199 |
+
UNION ALL
|
| 200 |
+
"""
|
| 201 |
+
|
| 202 |
+
_arg_opts = [
|
| 203 |
+
[['nvtx-name'], {'action': 'store_true'}],
|
| 204 |
+
[['base'], {'action': 'store_true'}],
|
| 205 |
+
[['mangled'], {'action': 'store_true'}],
|
| 206 |
+
]
|
| 207 |
+
|
| 208 |
+
table_checks = {
|
| 209 |
+
'StringIds': '{DBFILE} file does not contain StringIds table.',
|
| 210 |
+
'TARGET_INFO_GPU': '{DBFILE} file does not contain TARGET_INFO_GPU table.'
|
| 211 |
+
}
|
| 212 |
+
|
| 213 |
+
def setup(self):
|
| 214 |
+
err = super().setup()
|
| 215 |
+
if err != None:
|
| 216 |
+
return err
|
| 217 |
+
|
| 218 |
+
col_checks = {
|
| 219 |
+
'greenContextId':
|
| 220 |
+
"{DBFILE} does not contain 'greenContextId' column."
|
| 221 |
+
" Please re-export the report file with a recent version of Nsight Systems."
|
| 222 |
+
}
|
| 223 |
+
|
| 224 |
+
sub_queries = []
|
| 225 |
+
|
| 226 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_KERNEL'):
|
| 227 |
+
self.table_col_checks['CUPTI_ACTIVITY_KIND_KERNEL'] = col_checks
|
| 228 |
+
err = kernel_helper.create_kernel_view(self)
|
| 229 |
+
if err != None:
|
| 230 |
+
return err
|
| 231 |
+
sub_queries.append(self.query_kernel)
|
| 232 |
+
|
| 233 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMCPY'):
|
| 234 |
+
self.table_col_checks['CUPTI_ACTIVITY_KIND_MEMCPY'] = col_checks
|
| 235 |
+
if not self.table_exists('ENUM_CUDA_MEMCPY_OPER'):
|
| 236 |
+
return '{DBFILE} does not contain ENUM_CUDA_MEMCPY_OPER table.'
|
| 237 |
+
if not self.table_exists('ENUM_CUDA_MEM_KIND'):
|
| 238 |
+
return '{DBFILE} does not contain ENUM_CUDA_MEM_KIND table.'
|
| 239 |
+
sub_queries.append(self.query_memcpy)
|
| 240 |
+
|
| 241 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMSET'):
|
| 242 |
+
self.table_col_checks['CUPTI_ACTIVITY_KIND_MEMSET'] = col_checks
|
| 243 |
+
if not self.table_exists('ENUM_CUDA_MEM_KIND'):
|
| 244 |
+
return '{DBFILE} does not contain ENUM_CUDA_MEM_KIND table.'
|
| 245 |
+
sub_queries.append(self.query_memset)
|
| 246 |
+
|
| 247 |
+
if len(sub_queries) == 0:
|
| 248 |
+
return "{DBFILE} does not contain GPU trace data."
|
| 249 |
+
|
| 250 |
+
err = self.check_columns()
|
| 251 |
+
if err != None:
|
| 252 |
+
return err
|
| 253 |
+
|
| 254 |
+
self.query = self.query_stub.format(GPU_SUB_QUERY = self.query_union.join(sub_queries))
|
| 255 |
+
|
| 256 |
+
if __name__ == "__main__":
|
| 257 |
+
CudaGpuTrace.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cuda_kern_exec_sum.py
ADDED
|
@@ -0,0 +1,170 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2021-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import kernel_helper
|
| 14 |
+
import nsysstats
|
| 15 |
+
|
| 16 |
+
class CudaKernExecSum(nsysstats.StatsReport):
|
| 17 |
+
|
| 18 |
+
display_name = 'CUDA Kernel Launch & Exec Time Summary'
|
| 19 |
+
usage = f"""{{SCRIPT}}[:nvtx-name][:base|:mangled] -- {{DISPLAY_NAME}}
|
| 20 |
+
|
| 21 |
+
nvtx-name - Optional argument, if given, will prefix the kernel name with
|
| 22 |
+
the name of the innermost enclosing NVTX range.
|
| 23 |
+
|
| 24 |
+
base - Optional argument, if given, will cause summary to be over the
|
| 25 |
+
base name of the kernel, rather than the templated name.
|
| 26 |
+
|
| 27 |
+
mangled - Optional argument, if given, will cause summary to be over the
|
| 28 |
+
raw mangled name of the kernel, rather than the templated name.
|
| 29 |
+
|
| 30 |
+
Note: the ability to display mangled names is a recent addition to the
|
| 31 |
+
report file format, and requires that the profile data be captured with
|
| 32 |
+
a recent version of Nsys. Re-exporting an existing report file is not
|
| 33 |
+
sufficient. If the raw, mangled kernel name data is not available, the
|
| 34 |
+
default demangled names will be used.
|
| 35 |
+
|
| 36 |
+
Output: All time values default to nanoseconds
|
| 37 |
+
PID : Process ID that made kernel launch call
|
| 38 |
+
TID : Tread ID that made kernel launch call
|
| 39 |
+
DevId : CUDA Device ID that executed kernel (which GPU)
|
| 40 |
+
Count : Number of kernel records
|
| 41 |
+
QCount : Number of kernel records with positive queue time
|
| 42 |
+
Average, Median, Minimum, Maximum, and Standard Deviation for:
|
| 43 |
+
TAvg, TMed, TMin, TMax, TStdDev : Total time
|
| 44 |
+
AAvg, AMed, AMin, AMax, AStdDev : API time
|
| 45 |
+
QAvg, QMed, QMin, QMax, QStdDev : Queue time
|
| 46 |
+
KAvg, KMed, KMin, KMax, KStdDev : Kernel time
|
| 47 |
+
API Name : Name of CUDA API call used to launch kernel
|
| 48 |
+
Kernel Name : Name of CUDA Kernel
|
| 49 |
+
|
| 50 |
+
This report provides a summary of the launch and execution times of CUDA
|
| 51 |
+
kernels. The launch and execution is broken down into three phases: "API
|
| 52 |
+
time," the execution time of the CUDA API call on the CPU used to launch the
|
| 53 |
+
kernel; "Queue time," the time between the launch call and the kernel
|
| 54 |
+
execution; and "Kernel time," the kernel execution time on the GPU. The
|
| 55 |
+
"total time" is not a just sum of the other times, as the phases sometimes
|
| 56 |
+
overlap. Rather, the total time runs from the start of the API call to end
|
| 57 |
+
of the API call or the end of the kernel execution, whichever is later.
|
| 58 |
+
|
| 59 |
+
The reported queue time is measured from the end of the API call to the
|
| 60 |
+
start of the kernel execution. The actual queue time is slightly longer, as
|
| 61 |
+
the kernel is enqueue somewhere in the middle of the API call, and not in
|
| 62 |
+
the final nanosecond of function execution. Due to this delay, it is
|
| 63 |
+
possible for kernel execution to start before the CUDA launch call returns.
|
| 64 |
+
In these cases, no queue time will be reported. Only kernel launches with
|
| 65 |
+
positive queue times are included in the queue average, minimum, maximum,
|
| 66 |
+
and standard deviation calculations. The "QCount" column indicates how many
|
| 67 |
+
launches had positive queue times (and how many launches were involved in
|
| 68 |
+
calculating the queue time statistics). Subtracting "QCount" from "Count"
|
| 69 |
+
will indicate how many kernels had no queue time.
|
| 70 |
+
|
| 71 |
+
Be aware that having a queue time is not inherently bad. Queue times
|
| 72 |
+
indicate that the GPU was busy running other tasks when the new kernel was
|
| 73 |
+
scheduled for launch. If every kernel launch is immediate, without any queue
|
| 74 |
+
time, that _may_ indicate an idle GPU with poor utilization. In terms of
|
| 75 |
+
performance optimization, it should not necessarily be a goal to eliminate
|
| 76 |
+
queue time.
|
| 77 |
+
"""
|
| 78 |
+
|
| 79 |
+
query = """
|
| 80 |
+
WITH
|
| 81 |
+
runkern AS (
|
| 82 |
+
SELECT
|
| 83 |
+
(r.globalTid >> 24) & 0x00FFFFFF AS pid,
|
| 84 |
+
r.globalTid & 0x00FFFFFF AS tid,
|
| 85 |
+
k.deviceId AS deviceId,
|
| 86 |
+
r.end - r.start AS ApiDur,
|
| 87 |
+
iif(k.start - r.end >= 0, k.start - r.end, NULL) AS QueDur,
|
| 88 |
+
k.end - k.start AS KernDur,
|
| 89 |
+
max(r.end, k.end) - r.start AS totalDur,
|
| 90 |
+
CASE substr(rname.value, -6, 2)
|
| 91 |
+
WHEN '_v'
|
| 92 |
+
THEN substr(rname.value, 1, length(rname.value)-6)
|
| 93 |
+
ELSE rname.value
|
| 94 |
+
END AS apiName,
|
| 95 |
+
k.name AS kernName
|
| 96 |
+
FROM
|
| 97 |
+
CUPTI_ACTIVITY_KIND_KERNEL_NAMED AS k
|
| 98 |
+
JOIN
|
| 99 |
+
CUPTI_ACTIVITY_KIND_RUNTIME AS r
|
| 100 |
+
ON k.correlationId == r.correlationId
|
| 101 |
+
AND k.globalPid == (r.globalTid & 0xFFFFFFFFFF000000)
|
| 102 |
+
LEFT JOIN
|
| 103 |
+
StringIds AS rname
|
| 104 |
+
ON r.nameId == rname.id
|
| 105 |
+
)
|
| 106 |
+
|
| 107 |
+
SELECT
|
| 108 |
+
pid AS PID, -- 1
|
| 109 |
+
tid AS TID,
|
| 110 |
+
deviceId AS DevId,
|
| 111 |
+
|
| 112 |
+
count(*) AS Count,
|
| 113 |
+
count(QueDur) AS QCount, -- 5
|
| 114 |
+
|
| 115 |
+
round(avg(totalDur), 1) AS "TAvg:dur_ns",
|
| 116 |
+
round(median(totalDur), 1) AS "TMed:dur_ns",
|
| 117 |
+
min(totalDur) AS "TMin:dur_ns",
|
| 118 |
+
max(totalDur) AS "TMax:dur_ns",
|
| 119 |
+
round(stdev(totalDur), 1) AS "TStdDev:dur_ns", -- 10
|
| 120 |
+
|
| 121 |
+
round(avg(ApiDur), 1) AS "AAvg:dur_ns",
|
| 122 |
+
round(median(ApiDur), 1) AS "AMed:dur_ns",
|
| 123 |
+
min(ApiDur) AS "AMin:dur_ns",
|
| 124 |
+
max(ApiDur) AS "AMax:dur_ns",
|
| 125 |
+
round(stdev(ApiDur), 1) AS "AStdDev:dur_ns", -- 15
|
| 126 |
+
|
| 127 |
+
round(avg(QueDur), 1) AS "QAvg:dur_ns",
|
| 128 |
+
round(median(QueDur), 1) AS "QMed:dur_ns",
|
| 129 |
+
min(QueDur) AS "QMin:dur_ns",
|
| 130 |
+
max(QueDur) AS "QMax:dur_ns",
|
| 131 |
+
round(stdev(QueDur), 1) AS "QStdDev:dur_ns", -- 20
|
| 132 |
+
|
| 133 |
+
round(avg(KernDur), 1) AS "KAvg:dur_ns",
|
| 134 |
+
round(median(KernDur), 1) AS "KMed:dur_ns",
|
| 135 |
+
min(KernDur) AS "KMin:dur_ns",
|
| 136 |
+
max(KernDur) AS "KMax:dur_ns",
|
| 137 |
+
round(stdev(KernDur), 1) AS "KStdDev:dur_ns", -- 25
|
| 138 |
+
|
| 139 |
+
apiName AS "API Name",
|
| 140 |
+
kernName AS "Kernel Name" -- 27
|
| 141 |
+
FROM runkern
|
| 142 |
+
GROUP BY 1, 2, 3, 26, 27
|
| 143 |
+
ORDER BY 6 DESC
|
| 144 |
+
"""
|
| 145 |
+
|
| 146 |
+
table_checks = {
|
| 147 |
+
'StringIds': '{DBFILE} file does not contain StringIds table.',
|
| 148 |
+
'CUPTI_ACTIVITY_KIND_KERNEL':
|
| 149 |
+
"{DBFILE} does not contain CUDA kernel data.",
|
| 150 |
+
'CUPTI_ACTIVITY_KIND_RUNTIME':
|
| 151 |
+
"{DBFILE} does not contain CUDA API data.",
|
| 152 |
+
}
|
| 153 |
+
|
| 154 |
+
_arg_opts = [
|
| 155 |
+
[['nvtx-name'], {'action': 'store_true'}],
|
| 156 |
+
[['base'], {'action': 'store_true'}],
|
| 157 |
+
[['mangled'], {'action': 'store_true'}],
|
| 158 |
+
]
|
| 159 |
+
|
| 160 |
+
def setup(self):
|
| 161 |
+
err = super().setup()
|
| 162 |
+
if err != None:
|
| 163 |
+
return err
|
| 164 |
+
|
| 165 |
+
err = kernel_helper.create_kernel_view(self)
|
| 166 |
+
if err != None:
|
| 167 |
+
return err
|
| 168 |
+
|
| 169 |
+
if __name__ == "__main__":
|
| 170 |
+
CudaKernExecSum.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cuda_kern_exec_trace.py
ADDED
|
@@ -0,0 +1,132 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2021-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import kernel_helper
|
| 14 |
+
import nsysstats
|
| 15 |
+
|
| 16 |
+
class CudaKernExecTrace(nsysstats.StatsReport):
|
| 17 |
+
|
| 18 |
+
display_name = 'CUDA Kernel Launch & Exec Time Trace'
|
| 19 |
+
usage = f"""{{SCRIPT}}[:nvtx-name][:base|:mangled] -- {{DISPLAY_NAME}}
|
| 20 |
+
|
| 21 |
+
nvtx-name - Optional argument, if given, will prefix the kernel name with
|
| 22 |
+
the name of the innermost enclosing NVTX range.
|
| 23 |
+
|
| 24 |
+
base - Optional argument, if given, will cause summary to be over the
|
| 25 |
+
base name of the kernel, rather than the templated name.
|
| 26 |
+
|
| 27 |
+
mangled - Optional argument, if given, will cause summary to be over the
|
| 28 |
+
raw mangled name of the kernel, rather than the templated name.
|
| 29 |
+
|
| 30 |
+
Note: the ability to display mangled names is a recent addition to the
|
| 31 |
+
report file format, and requires that the profile data be captured with
|
| 32 |
+
a recent version of Nsys. Re-exporting an existing report file is not
|
| 33 |
+
sufficient. If the raw, mangled kernel name data is not available, the
|
| 34 |
+
default demangled names will be used.
|
| 35 |
+
|
| 36 |
+
Output: All time values default to nanoseconds
|
| 37 |
+
API Start : Start timestamp of CUDA API launch call
|
| 38 |
+
API Dur : Duration of CUDA API launch call
|
| 39 |
+
Queue Start : Start timestamp of queue wait time, if it exists
|
| 40 |
+
Queue Dur : Duration of queue wait time, if it exists
|
| 41 |
+
Kernel Start : Start timestamp of CUDA kernel
|
| 42 |
+
Kernel Dur : Duration of CUDA kernel
|
| 43 |
+
Total Dur : Duration from API start to kernel end
|
| 44 |
+
PID : Process ID that made kernel launch call
|
| 45 |
+
TID : Thread ID that made kernel launch call
|
| 46 |
+
DevId : CUDA Device ID that executed kernel (which GPU)
|
| 47 |
+
API Function : Name of CUDA API call used to launch kernel
|
| 48 |
+
GridXYZ : Grid dimensions for kernel launch call
|
| 49 |
+
BlockXYZ : Block dimensions for kernel launch call
|
| 50 |
+
Kernel Name : Name of CUDA Kernel
|
| 51 |
+
|
| 52 |
+
This report provides a trace of the launch and execution time of each CUDA
|
| 53 |
+
kernel. The launch and execution is broken down into three phases: "API
|
| 54 |
+
time," the execution time of the CUDA API call on the CPU used to launch the
|
| 55 |
+
kernel; "Queue time," the time between the launch call and the kernel
|
| 56 |
+
execution; and "Kernel time," the kernel execution time on the GPU. The
|
| 57 |
+
"total time" is not a just sum of the other times, as the phases sometimes
|
| 58 |
+
overlap. Rather, the total time runs from the start of the API call to end
|
| 59 |
+
of the API call or the end of the kernel execution, whichever is later.
|
| 60 |
+
|
| 61 |
+
The reported queue time is measured from the end of the API call to the
|
| 62 |
+
start of the kernel execution. The actual queue time is slightly longer, as
|
| 63 |
+
the kernel is enqueue somewhere in the middle of the API call, and not in
|
| 64 |
+
the final nanosecond of function execution. Due to this delay, it is
|
| 65 |
+
possible for kernel execution to start before the CUDA launch call returns.
|
| 66 |
+
In these cases, no queue times will be reported.
|
| 67 |
+
|
| 68 |
+
Be aware that having a queue time is not inherently bad. Queue times
|
| 69 |
+
indicate that the GPU was busy running other tasks when the new kernel was
|
| 70 |
+
scheduled for launch. If every kernel launch is immediate, without any queue
|
| 71 |
+
time, that _may_ indicate an idle GPU with poor utilization. In terms of
|
| 72 |
+
performance optimization, it should not necessarily be a goal to eliminate
|
| 73 |
+
queue time.
|
| 74 |
+
"""
|
| 75 |
+
|
| 76 |
+
query = """
|
| 77 |
+
SELECT
|
| 78 |
+
r.start AS "API Start:ts_ns",
|
| 79 |
+
r.end - r.start AS "API Dur:dur_ns",
|
| 80 |
+
iif(k.start - r.end >= 0, r.end, NULL) AS "Queue Start:ts_ns",
|
| 81 |
+
iif(k.start - r.end >= 0, k.start - r.end, NULL) AS "Queue Dur:dur_ns",
|
| 82 |
+
k.start AS "Kernel Start:ts_ns",
|
| 83 |
+
k.end - k.start AS "Kernel Dur:dur_ns",
|
| 84 |
+
max(r.end, k.end) - r.start AS "Total Dur:dur_ns",
|
| 85 |
+
(r.globalTid >> 24) & 0x00FFFFFF AS PID,
|
| 86 |
+
r.globalTid & 0x00FFFFFF AS TID,
|
| 87 |
+
k.deviceId AS DevId,
|
| 88 |
+
CASE substr(rname.value, -6, 2)
|
| 89 |
+
WHEN '_v'
|
| 90 |
+
THEN substr(rname.value, 1, length(rname.value)-6)
|
| 91 |
+
ELSE rname.value
|
| 92 |
+
END AS "API Function",
|
| 93 |
+
printf('%4d %4d %4d', k.gridX, k.gridY, k.gridZ) AS "GridXYZ",
|
| 94 |
+
printf('%4d %4d %4d', k.blockX, k.blockY, k.blockZ) AS "BlockXYZ",
|
| 95 |
+
k.name AS "Kernel Name"
|
| 96 |
+
FROM
|
| 97 |
+
CUPTI_ACTIVITY_KIND_KERNEL_NAMED AS k
|
| 98 |
+
JOIN
|
| 99 |
+
CUPTI_ACTIVITY_KIND_RUNTIME AS r
|
| 100 |
+
ON k.correlationId == r.correlationId
|
| 101 |
+
AND k.globalPid == (r.globalTid & 0xFFFFFFFFFF000000)
|
| 102 |
+
LEFT JOIN
|
| 103 |
+
StringIds AS rname
|
| 104 |
+
ON r.nameId == rname.id
|
| 105 |
+
ORDER BY 1
|
| 106 |
+
"""
|
| 107 |
+
|
| 108 |
+
table_checks = {
|
| 109 |
+
'StringIds': '{DBFILE} file does not contain StringIds table.',
|
| 110 |
+
'CUPTI_ACTIVITY_KIND_KERNEL':
|
| 111 |
+
"{DBFILE} does not contain CUDA kernel data.",
|
| 112 |
+
'CUPTI_ACTIVITY_KIND_RUNTIME':
|
| 113 |
+
"{DBFILE} does not contain CUDA API data.",
|
| 114 |
+
}
|
| 115 |
+
|
| 116 |
+
_arg_opts = [
|
| 117 |
+
[['nvtx-name'], {'action': 'store_true'}],
|
| 118 |
+
[['base'], {'action': 'store_true'}],
|
| 119 |
+
[['mangled'], {'action': 'store_true'}],
|
| 120 |
+
]
|
| 121 |
+
|
| 122 |
+
def setup(self):
|
| 123 |
+
err = super().setup()
|
| 124 |
+
if err != None:
|
| 125 |
+
return err
|
| 126 |
+
|
| 127 |
+
err = kernel_helper.create_kernel_view(self)
|
| 128 |
+
if err != None:
|
| 129 |
+
return err
|
| 130 |
+
|
| 131 |
+
if __name__ == "__main__":
|
| 132 |
+
CudaKernExecTrace.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cudaapisum.py
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class CUDAAPISummary(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'DEPRECATED - Use cuda_api_sum instead'
|
| 18 |
+
usage = '{SCRIPT} -- {{DISPLAY_NAME}}'
|
| 19 |
+
should_display = False
|
| 20 |
+
|
| 21 |
+
query = """
|
| 22 |
+
WITH
|
| 23 |
+
summary AS (
|
| 24 |
+
SELECT
|
| 25 |
+
nameId AS nameId,
|
| 26 |
+
sum(end - start) AS total,
|
| 27 |
+
count(*) AS num,
|
| 28 |
+
avg(end - start) AS avg,
|
| 29 |
+
median(end - start) AS med,
|
| 30 |
+
min(end - start) AS min,
|
| 31 |
+
max(end - start) AS max,
|
| 32 |
+
stdev(end - start) AS stddev
|
| 33 |
+
FROM
|
| 34 |
+
CUPTI_ACTIVITY_KIND_RUNTIME
|
| 35 |
+
GROUP BY 1
|
| 36 |
+
),
|
| 37 |
+
totals AS (
|
| 38 |
+
SELECT sum(total) AS total
|
| 39 |
+
FROM summary
|
| 40 |
+
)
|
| 41 |
+
SELECT
|
| 42 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 43 |
+
summary.total AS "Total Time:dur_ns",
|
| 44 |
+
summary.num AS "Num Calls",
|
| 45 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 46 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 47 |
+
summary.min AS "Min:dur_ns",
|
| 48 |
+
summary.max AS "Max:dur_ns",
|
| 49 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 50 |
+
CASE substr(ids.value, -6, 2)
|
| 51 |
+
WHEN '_v'
|
| 52 |
+
THEN substr(ids.value, 1, length(value)-6)
|
| 53 |
+
ELSE ids.value
|
| 54 |
+
END AS "Name"
|
| 55 |
+
FROM
|
| 56 |
+
summary
|
| 57 |
+
LEFT JOIN
|
| 58 |
+
StringIds AS ids
|
| 59 |
+
ON ids.id == summary.nameId
|
| 60 |
+
ORDER BY 2 DESC
|
| 61 |
+
;
|
| 62 |
+
"""
|
| 63 |
+
|
| 64 |
+
table_checks = {
|
| 65 |
+
'CUPTI_ACTIVITY_KIND_RUNTIME':
|
| 66 |
+
'{DBFILE} does not contain CUDA trace data.'
|
| 67 |
+
}
|
| 68 |
+
|
| 69 |
+
if __name__ == "__main__":
|
| 70 |
+
CUDAAPISummary.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/cudaapitrace.py
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class CUDAAPITrace(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'DEPRECATED - Use cuda_api_trace instead'
|
| 18 |
+
usage = '{SCRIPT} -- {{DISPLAY_NAME}}'
|
| 19 |
+
should_display = False
|
| 20 |
+
|
| 21 |
+
query = """
|
| 22 |
+
SELECT
|
| 23 |
+
api.start AS "Start:ts_ns",
|
| 24 |
+
api.end - api.start AS "Duration:dur_ns",
|
| 25 |
+
CASE substr(nstr.value, -6, 2)
|
| 26 |
+
WHEN '_v'THEN substr(nstr.value, 1, length(nstr.value)-6)
|
| 27 |
+
ELSE nstr.value
|
| 28 |
+
END AS "Name",
|
| 29 |
+
api.returnValue AS "Result",
|
| 30 |
+
api.correlationId AS "CorrID",
|
| 31 |
+
-- (api.globalTid >> 40) & 0xFF AS "HWid",
|
| 32 |
+
-- (api.globalTid >> 32) & 0xFF AS "VMid",
|
| 33 |
+
(api.globalTid >> 24) & 0xFFFFFF AS "Pid",
|
| 34 |
+
(api.globalTid ) & 0xFFFFFF AS "Tid",
|
| 35 |
+
tname.priority AS "T-Pri",
|
| 36 |
+
tstr.value AS "Thread Name"
|
| 37 |
+
FROM
|
| 38 |
+
CUPTI_ACTIVITY_KIND_RUNTIME AS api
|
| 39 |
+
LEFT OUTER JOIN
|
| 40 |
+
StringIds AS nstr
|
| 41 |
+
ON nstr.id == api.nameId
|
| 42 |
+
LEFT OUTER JOIN
|
| 43 |
+
ThreadNames AS tname
|
| 44 |
+
ON tname.globalTid == api.globalTid
|
| 45 |
+
LEFT OUTER JOIN
|
| 46 |
+
StringIds AS tstr
|
| 47 |
+
ON tstr.id == tname.nameId
|
| 48 |
+
ORDER BY 1
|
| 49 |
+
;
|
| 50 |
+
"""
|
| 51 |
+
|
| 52 |
+
table_checks = {
|
| 53 |
+
'CUPTI_ACTIVITY_KIND_RUNTIME':
|
| 54 |
+
'{DBFILE} does not contain CUDA trace data.'
|
| 55 |
+
}
|
| 56 |
+
|
| 57 |
+
if __name__ == "__main__":
|
| 58 |
+
CUDAAPITrace.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/dx11_pix_sum.py
ADDED
|
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2021-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class Dx11PixSum(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'DX11 PIX Range Summary'
|
| 18 |
+
usage = f"""{{SCRIPT}} -- {{DISPLAY_NAME}}
|
| 19 |
+
|
| 20 |
+
No arguments.
|
| 21 |
+
|
| 22 |
+
Output: All time values default to nanoseconds
|
| 23 |
+
Time : Percentage of "Total Time"
|
| 24 |
+
Total Time : Total time used by all instances of this range
|
| 25 |
+
Instances : Number of instances of this range
|
| 26 |
+
Avg : Average execution time of this range
|
| 27 |
+
Med : Median execution time of this rage
|
| 28 |
+
Min : Smallest execution time of this range
|
| 29 |
+
Max : Largest execution time of this range
|
| 30 |
+
StdDev : Standard deviation of execution time of this range
|
| 31 |
+
Range : Name of the range
|
| 32 |
+
|
| 33 |
+
This report provides a summary of D3D11 PIX CPU debug markers,
|
| 34 |
+
and their execution times. Note that the "Time" column
|
| 35 |
+
is calculated using a summation of the "Total Time" column, and represents
|
| 36 |
+
that range's percent of the execution time of the ranges listed, and not a
|
| 37 |
+
percentage of the application wall or CPU execution time.
|
| 38 |
+
"""
|
| 39 |
+
|
| 40 |
+
query = f"""
|
| 41 |
+
WITH
|
| 42 |
+
summary AS (
|
| 43 |
+
SELECT
|
| 44 |
+
begin.textId AS textId,
|
| 45 |
+
sum(end.start - begin.end) AS total,
|
| 46 |
+
count(*) AS num,
|
| 47 |
+
avg(end.start - begin.end) AS avg,
|
| 48 |
+
median(end.start - begin.end) AS med,
|
| 49 |
+
min(end.start - begin.end) AS min,
|
| 50 |
+
max(end.start - begin.end) AS max,
|
| 51 |
+
stdev(end.start - begin.end) AS stddev
|
| 52 |
+
FROM
|
| 53 |
+
D3D11_PIX_DEBUG_API AS begin
|
| 54 |
+
JOIN
|
| 55 |
+
D3D11_PIX_DEBUG_API AS end
|
| 56 |
+
ON begin.correlationId == end.correlationId
|
| 57 |
+
AND begin.globalTid == end.globalTid
|
| 58 |
+
WHERE begin.textId IS NOT NULL
|
| 59 |
+
AND end.textId IS NULL
|
| 60 |
+
GROUP BY 1
|
| 61 |
+
),
|
| 62 |
+
totals AS (
|
| 63 |
+
SELECT sum(total) AS total
|
| 64 |
+
FROM summary
|
| 65 |
+
)
|
| 66 |
+
|
| 67 |
+
SELECT
|
| 68 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 69 |
+
summary.total AS "Total Time:dur_ns",
|
| 70 |
+
summary.num AS "Instances",
|
| 71 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 72 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 73 |
+
summary.min AS "Min:dur_ns",
|
| 74 |
+
summary.max AS "Max:dur_ns",
|
| 75 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 76 |
+
ids.value AS "Range"
|
| 77 |
+
FROM
|
| 78 |
+
summary
|
| 79 |
+
LEFT JOIN
|
| 80 |
+
StringIds AS ids
|
| 81 |
+
ON ids.id == summary.textId
|
| 82 |
+
WHERE summary.total > 0
|
| 83 |
+
ORDER BY 2 DESC
|
| 84 |
+
;
|
| 85 |
+
"""
|
| 86 |
+
|
| 87 |
+
table_checks = {
|
| 88 |
+
'StringIds': '{DBFILE} file does not contain StringIds table.',
|
| 89 |
+
'D3D11_PIX_DEBUG_API':
|
| 90 |
+
"{DBFILE} does not contain DX11 CPU debug markers."
|
| 91 |
+
}
|
| 92 |
+
|
| 93 |
+
if __name__ == "__main__":
|
| 94 |
+
Dx11PixSum.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/dx11pixsum.py
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2021-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class D3D11PIXSummary(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'DEPRECATED - Use dx11_pix_sum instead'
|
| 18 |
+
usage = '{SCRIPT} -- {{DISPLAY_NAME}}'
|
| 19 |
+
should_display = False
|
| 20 |
+
|
| 21 |
+
query = f"""
|
| 22 |
+
WITH
|
| 23 |
+
summary AS (
|
| 24 |
+
SELECT
|
| 25 |
+
begin.textId AS textId,
|
| 26 |
+
sum(end.start - begin.end) AS total,
|
| 27 |
+
count(*) AS num,
|
| 28 |
+
avg(end.start - begin.end) AS avg,
|
| 29 |
+
median(end.start - begin.end) AS med,
|
| 30 |
+
min(end.start - begin.end) AS min,
|
| 31 |
+
max(end.start - begin.end) AS max,
|
| 32 |
+
stdev(end.start - begin.end) AS stddev
|
| 33 |
+
FROM
|
| 34 |
+
D3D11_PIX_DEBUG_API AS begin
|
| 35 |
+
JOIN
|
| 36 |
+
D3D11_PIX_DEBUG_API AS end
|
| 37 |
+
ON begin.correlationId == end.correlationId
|
| 38 |
+
AND begin.globalTid == end.globalTid
|
| 39 |
+
WHERE begin.textId IS NOT NULL
|
| 40 |
+
AND end.textId IS NULL
|
| 41 |
+
GROUP BY 1
|
| 42 |
+
),
|
| 43 |
+
totals AS (
|
| 44 |
+
SELECT sum(total) AS total
|
| 45 |
+
FROM summary
|
| 46 |
+
)
|
| 47 |
+
|
| 48 |
+
SELECT
|
| 49 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 50 |
+
summary.total AS "Total Time:dur_ns",
|
| 51 |
+
summary.num AS "Instances",
|
| 52 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 53 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 54 |
+
summary.min AS "Min:dur_ns",
|
| 55 |
+
summary.max AS "Max:dur_ns",
|
| 56 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 57 |
+
ids.value AS "Range"
|
| 58 |
+
FROM
|
| 59 |
+
summary
|
| 60 |
+
LEFT JOIN
|
| 61 |
+
StringIds AS ids
|
| 62 |
+
ON ids.id == summary.textId
|
| 63 |
+
WHERE summary.total > 0
|
| 64 |
+
ORDER BY 2 DESC
|
| 65 |
+
;
|
| 66 |
+
"""
|
| 67 |
+
|
| 68 |
+
table_checks = {
|
| 69 |
+
'D3D11_PIX_DEBUG_API':
|
| 70 |
+
"{DBFILE} does not contain DX11 CPU debug markers."
|
| 71 |
+
}
|
| 72 |
+
|
| 73 |
+
if __name__ == "__main__":
|
| 74 |
+
D3D11PIXSummary.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/dx12_gpu_marker_sum.py
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2021-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class Dx12GpuMarkerSum(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'DX12 GPU Command List PIX Ranges Summary'
|
| 18 |
+
usage = f"""{{SCRIPT}} -- {{DISPLAY_NAME}}
|
| 19 |
+
|
| 20 |
+
No arguments.
|
| 21 |
+
|
| 22 |
+
Output: All time values default to nanoseconds
|
| 23 |
+
Time : Percentage of "Total Time"
|
| 24 |
+
Total Time : Total time used by all instances of this range
|
| 25 |
+
Instances : Number of instances of this range
|
| 26 |
+
Avg : Average execution time of this range
|
| 27 |
+
Med : Median execution time of this range
|
| 28 |
+
Min : Smallest execution time of this range
|
| 29 |
+
Max : Largest execution time of this range
|
| 30 |
+
StdDev : Standard deviation of execution time of this range
|
| 31 |
+
Range : Name of the range
|
| 32 |
+
|
| 33 |
+
This report provides a summary of DX12 PIX GPU command list debug markers,
|
| 34 |
+
and their execution times. Note that the "Time" column
|
| 35 |
+
is calculated using a summation of the "Total Time" column, and represents
|
| 36 |
+
that range's percent of the execution time of the ranges listed, and not a
|
| 37 |
+
percentage of the application wall or CPU execution time.
|
| 38 |
+
"""
|
| 39 |
+
|
| 40 |
+
query = """
|
| 41 |
+
WITH
|
| 42 |
+
summary AS (
|
| 43 |
+
SELECT
|
| 44 |
+
wl.textId AS textId,
|
| 45 |
+
sum(wl.end - wl.start) AS total,
|
| 46 |
+
count(*) AS num,
|
| 47 |
+
avg(wl.end - wl.start) AS avg,
|
| 48 |
+
median(wl.end - wl.start) AS med,
|
| 49 |
+
min(wl.end - wl.start) AS min,
|
| 50 |
+
max(wl.end - wl.start) AS max,
|
| 51 |
+
stdev(wl.end - wl.start) AS stddev
|
| 52 |
+
FROM
|
| 53 |
+
DX12_WORKLOAD AS wl
|
| 54 |
+
WHERE wl.textId IS NOT NULL
|
| 55 |
+
GROUP BY 1
|
| 56 |
+
),
|
| 57 |
+
totals AS (
|
| 58 |
+
SELECT sum(total) AS total
|
| 59 |
+
FROM summary
|
| 60 |
+
)
|
| 61 |
+
|
| 62 |
+
SELECT
|
| 63 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 64 |
+
summary.total AS "Total Time:dur_ns",
|
| 65 |
+
summary.num AS "Instances",
|
| 66 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 67 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 68 |
+
summary.min AS "Min:dur_ns",
|
| 69 |
+
summary.max AS "Max:dur_ns",
|
| 70 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 71 |
+
ids.value AS "Range"
|
| 72 |
+
FROM
|
| 73 |
+
summary
|
| 74 |
+
LEFT JOIN
|
| 75 |
+
StringIds AS ids
|
| 76 |
+
ON ids.id == summary.textId
|
| 77 |
+
WHERE summary.total > 0
|
| 78 |
+
ORDER BY 2 DESC
|
| 79 |
+
;
|
| 80 |
+
"""
|
| 81 |
+
|
| 82 |
+
table_checks = {
|
| 83 |
+
'StringIds': '{DBFILE} file does not contain StringIds table.',
|
| 84 |
+
'DX12_WORKLOAD':
|
| 85 |
+
"{DBFILE} does not contain DX12 GPU debug markers."
|
| 86 |
+
}
|
| 87 |
+
|
| 88 |
+
if __name__ == "__main__":
|
| 89 |
+
Dx12GpuMarkerSum.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/dx12_pix_sum.py
ADDED
|
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2021-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class Dx12PixSum(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'DX12 PIX Range Summary'
|
| 18 |
+
usage = f"""{{SCRIPT}} -- {{DISPLAY_NAME}}
|
| 19 |
+
|
| 20 |
+
No arguments.
|
| 21 |
+
|
| 22 |
+
Output: All time values default to nanoseconds
|
| 23 |
+
Time : Percentage of "Total Time"
|
| 24 |
+
Total Time : Total time used by all instances of this range
|
| 25 |
+
Instances : Number of instances of this range
|
| 26 |
+
Avg : Average execution time of this range
|
| 27 |
+
Med : Median execution time of this range
|
| 28 |
+
Min : Smallest execution time of this range
|
| 29 |
+
Max : Largest execution time of this range
|
| 30 |
+
StdDev : Standard deviation of execution time of this range
|
| 31 |
+
Range : Name of the range
|
| 32 |
+
|
| 33 |
+
This report provides a summary of D3D12 PIX CPU debug markers,
|
| 34 |
+
and their execution times. Note that the "Time" column
|
| 35 |
+
is calculated using a summation of the "Total Time" column, and represents
|
| 36 |
+
that range's percent of the execution time of the ranges listed, and not a
|
| 37 |
+
percentage of the application wall or CPU execution time.
|
| 38 |
+
"""
|
| 39 |
+
|
| 40 |
+
query = f"""
|
| 41 |
+
WITH
|
| 42 |
+
summary AS (
|
| 43 |
+
SELECT
|
| 44 |
+
begin.textId AS textId,
|
| 45 |
+
sum(end.start - begin.end) AS total,
|
| 46 |
+
count(*) AS num,
|
| 47 |
+
avg(end.start - begin.end) AS avg,
|
| 48 |
+
median(end.start - begin.end) AS med,
|
| 49 |
+
min(end.start - begin.end) AS min,
|
| 50 |
+
max(end.start - begin.end) AS max,
|
| 51 |
+
stdev(end.start - begin.end) AS stddev
|
| 52 |
+
FROM
|
| 53 |
+
D3D12_PIX_DEBUG_API AS begin
|
| 54 |
+
JOIN
|
| 55 |
+
D3D12_PIX_DEBUG_API AS end
|
| 56 |
+
ON begin.correlationId == end.correlationId
|
| 57 |
+
AND begin.globalTid == end.globalTid
|
| 58 |
+
WHERE begin.textId IS NOT NULL
|
| 59 |
+
AND end.textId IS NULL
|
| 60 |
+
GROUP BY 1
|
| 61 |
+
),
|
| 62 |
+
totals AS (
|
| 63 |
+
SELECT sum(total) AS total
|
| 64 |
+
FROM summary
|
| 65 |
+
)
|
| 66 |
+
|
| 67 |
+
SELECT
|
| 68 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 69 |
+
summary.total AS "Total Time:dur_ns",
|
| 70 |
+
summary.num AS "Instances",
|
| 71 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 72 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 73 |
+
summary.min AS "Min:dur_ns",
|
| 74 |
+
summary.max AS "Max:dur_ns",
|
| 75 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 76 |
+
ids.value AS "Range"
|
| 77 |
+
FROM
|
| 78 |
+
summary
|
| 79 |
+
LEFT JOIN
|
| 80 |
+
StringIds AS ids
|
| 81 |
+
ON ids.id == summary.textId
|
| 82 |
+
WHERE summary.total > 0
|
| 83 |
+
ORDER BY 2 DESC
|
| 84 |
+
;
|
| 85 |
+
"""
|
| 86 |
+
|
| 87 |
+
table_checks = {
|
| 88 |
+
'StringIds': '{DBFILE} file does not contain StringIds table.',
|
| 89 |
+
'D3D12_PIX_DEBUG_API':
|
| 90 |
+
"{DBFILE} does not contain DX12 CPU debug markers."
|
| 91 |
+
}
|
| 92 |
+
|
| 93 |
+
if __name__ == "__main__":
|
| 94 |
+
Dx12PixSum.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/dx12gpumarkersum.py
ADDED
|
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2021-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class DX12GpuMarkerSummary(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'DEPRECATED - Use dx12_gpu_marker_sum instead'
|
| 18 |
+
usage = '{SCRIPT} -- {{DISPLAY_NAME}}'
|
| 19 |
+
should_display = False
|
| 20 |
+
|
| 21 |
+
query = """
|
| 22 |
+
WITH
|
| 23 |
+
summary AS (
|
| 24 |
+
SELECT
|
| 25 |
+
wl.textId AS textId,
|
| 26 |
+
sum(wl.end - wl.start) AS total,
|
| 27 |
+
count(*) AS num,
|
| 28 |
+
avg(wl.end - wl.start) AS avg,
|
| 29 |
+
median(wl.end - wl.start) AS med,
|
| 30 |
+
min(wl.end - wl.start) AS min,
|
| 31 |
+
max(wl.end - wl.start) AS max,
|
| 32 |
+
stdev(wl.end - wl.start) AS stddev
|
| 33 |
+
FROM
|
| 34 |
+
DX12_WORKLOAD AS wl
|
| 35 |
+
WHERE wl.textId IS NOT NULL
|
| 36 |
+
GROUP BY 1
|
| 37 |
+
),
|
| 38 |
+
totals AS (
|
| 39 |
+
SELECT sum(total) AS total
|
| 40 |
+
FROM summary
|
| 41 |
+
)
|
| 42 |
+
|
| 43 |
+
SELECT
|
| 44 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 45 |
+
summary.total AS "Total Time:dur_ns",
|
| 46 |
+
summary.num AS "Instances",
|
| 47 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 48 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 49 |
+
summary.min AS "Min:dur_ns",
|
| 50 |
+
summary.max AS "Max:dur_ns",
|
| 51 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 52 |
+
ids.value AS "Range"
|
| 53 |
+
FROM
|
| 54 |
+
summary
|
| 55 |
+
LEFT JOIN
|
| 56 |
+
StringIds AS ids
|
| 57 |
+
ON ids.id == summary.textId
|
| 58 |
+
WHERE summary.total > 0
|
| 59 |
+
ORDER BY 2 DESC
|
| 60 |
+
;
|
| 61 |
+
"""
|
| 62 |
+
|
| 63 |
+
table_checks = {
|
| 64 |
+
'DX12_WORKLOAD':
|
| 65 |
+
"{DBFILE} does not contain DX12 GPU debug markers."
|
| 66 |
+
}
|
| 67 |
+
|
| 68 |
+
if __name__ == "__main__":
|
| 69 |
+
DX12GpuMarkerSummary.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/dx12pixsum.py
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2021-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class D3D12PIXSummary(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'DEPRECATED - Use dx12_pix_sum instead'
|
| 18 |
+
usage = '{SCRIPT} -- {{DISPLAY_NAME}}'
|
| 19 |
+
should_display = False
|
| 20 |
+
|
| 21 |
+
query = f"""
|
| 22 |
+
WITH
|
| 23 |
+
summary AS (
|
| 24 |
+
SELECT
|
| 25 |
+
begin.textId AS textId,
|
| 26 |
+
sum(end.start - begin.end) AS total,
|
| 27 |
+
count(*) AS num,
|
| 28 |
+
avg(end.start - begin.end) AS avg,
|
| 29 |
+
median(end.start - begin.end) AS med,
|
| 30 |
+
min(end.start - begin.end) AS min,
|
| 31 |
+
max(end.start - begin.end) AS max,
|
| 32 |
+
stdev(end.start - begin.end) AS stddev
|
| 33 |
+
FROM
|
| 34 |
+
D3D12_PIX_DEBUG_API AS begin
|
| 35 |
+
JOIN
|
| 36 |
+
D3D12_PIX_DEBUG_API AS end
|
| 37 |
+
ON begin.correlationId == end.correlationId
|
| 38 |
+
AND begin.globalTid == end.globalTid
|
| 39 |
+
WHERE begin.textId IS NOT NULL
|
| 40 |
+
AND end.textId IS NULL
|
| 41 |
+
GROUP BY 1
|
| 42 |
+
),
|
| 43 |
+
totals AS (
|
| 44 |
+
SELECT sum(total) AS total
|
| 45 |
+
FROM summary
|
| 46 |
+
)
|
| 47 |
+
|
| 48 |
+
SELECT
|
| 49 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 50 |
+
summary.total AS "Total Time:dur_ns",
|
| 51 |
+
summary.num AS "Instances",
|
| 52 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 53 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 54 |
+
summary.min AS "Min:dur_ns",
|
| 55 |
+
summary.max AS "Max:dur_ns",
|
| 56 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 57 |
+
ids.value AS "Range"
|
| 58 |
+
FROM
|
| 59 |
+
summary
|
| 60 |
+
LEFT JOIN
|
| 61 |
+
StringIds AS ids
|
| 62 |
+
ON ids.id == summary.textId
|
| 63 |
+
WHERE summary.total > 0
|
| 64 |
+
ORDER BY 2 DESC
|
| 65 |
+
;
|
| 66 |
+
"""
|
| 67 |
+
|
| 68 |
+
table_checks = {
|
| 69 |
+
'D3D12_PIX_DEBUG_API':
|
| 70 |
+
"{DBFILE} does not contain DX12 CPU debug markers."
|
| 71 |
+
}
|
| 72 |
+
|
| 73 |
+
if __name__ == "__main__":
|
| 74 |
+
D3D12PIXSummary.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/gpukerngbsum.py
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class CUDAGPUKernelGBSummary(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'DEPRECATED - Use cuda_gpu_kern_gb_sum instead'
|
| 18 |
+
usage = '{SCRIPT} -- {{DISPLAY_NAME}}'
|
| 19 |
+
should_display = False
|
| 20 |
+
|
| 21 |
+
query_stub = """
|
| 22 |
+
WITH
|
| 23 |
+
summary AS (
|
| 24 |
+
SELECT
|
| 25 |
+
coalesce({NAME_COL_NAME}, demangledName) AS nameId,
|
| 26 |
+
sum(end - start) AS total,
|
| 27 |
+
count(*) AS num,
|
| 28 |
+
avg(end - start) AS avg,
|
| 29 |
+
median(end - start) AS med,
|
| 30 |
+
min(end - start) AS min,
|
| 31 |
+
max(end - start) AS max,
|
| 32 |
+
stdev(end - start) AS stddev,
|
| 33 |
+
gridX, gridY, gridZ,
|
| 34 |
+
blockX, blockY, blockZ
|
| 35 |
+
FROM
|
| 36 |
+
CUPTI_ACTIVITY_KIND_KERNEL
|
| 37 |
+
GROUP BY 1, gridX, gridY, gridZ, blockX, blockY, blockZ
|
| 38 |
+
),
|
| 39 |
+
totals AS (
|
| 40 |
+
SELECT sum(total) AS total
|
| 41 |
+
FROM summary
|
| 42 |
+
)
|
| 43 |
+
SELECT
|
| 44 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 45 |
+
summary.total AS "Total Time:dur_ns",
|
| 46 |
+
summary.num AS "Instances",
|
| 47 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 48 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 49 |
+
summary.min AS "Min:dur_ns",
|
| 50 |
+
summary.max AS "Max:dur_ns",
|
| 51 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 52 |
+
printf('%4d %4d %4d', gridX, gridY, gridZ) AS "GridXYZ",
|
| 53 |
+
printf('%4d %4d %4d', blockX, blockY, blockZ) AS "BlockXYZ",
|
| 54 |
+
ids.value AS "Name"
|
| 55 |
+
FROM
|
| 56 |
+
summary
|
| 57 |
+
LEFT JOIN
|
| 58 |
+
StringIds AS ids
|
| 59 |
+
ON ids.id == summary.nameId
|
| 60 |
+
ORDER BY 2 DESC, 3, "Name"
|
| 61 |
+
;
|
| 62 |
+
"""
|
| 63 |
+
|
| 64 |
+
table_checks = {
|
| 65 |
+
'CUPTI_ACTIVITY_KIND_KERNEL':
|
| 66 |
+
'{DBFILE} does not contain CUDA kernel data.'
|
| 67 |
+
}
|
| 68 |
+
|
| 69 |
+
_arg_opts = [
|
| 70 |
+
[['base'], {'action': 'store_true'}],
|
| 71 |
+
[['mangled'], {'action': 'store_true'}],
|
| 72 |
+
]
|
| 73 |
+
|
| 74 |
+
def setup(self):
|
| 75 |
+
err = super().setup()
|
| 76 |
+
if err != None:
|
| 77 |
+
return err
|
| 78 |
+
|
| 79 |
+
name_col_name = 'demangledName'
|
| 80 |
+
if self.parsed_args.base:
|
| 81 |
+
name_col_name = 'shortName'
|
| 82 |
+
elif (self.parsed_args.mangled and
|
| 83 |
+
self.table_col_exists('CUPTI_ACTIVITY_KIND_KERNEL', 'mangledName')):
|
| 84 |
+
name_col_name = 'mangledName'
|
| 85 |
+
|
| 86 |
+
self.query = self.query_stub.format(NAME_COL_NAME = name_col_name)
|
| 87 |
+
|
| 88 |
+
if __name__ == "__main__":
|
| 89 |
+
CUDAGPUKernelGBSummary.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/gpukernsum.py
ADDED
|
@@ -0,0 +1,85 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class CUDAGPUKernelSummary(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'DEPRECATED - Use cuda_gpu_kern_sum instead'
|
| 18 |
+
usage = '{SCRIPT} -- {{DISPLAY_NAME}}'
|
| 19 |
+
should_display = False
|
| 20 |
+
|
| 21 |
+
query_stub = """
|
| 22 |
+
WITH
|
| 23 |
+
summary AS (
|
| 24 |
+
SELECT
|
| 25 |
+
coalesce({NAME_COL_NAME}, demangledName) AS nameId,
|
| 26 |
+
sum(end - start) AS total,
|
| 27 |
+
count(*) AS num,
|
| 28 |
+
avg(end - start) AS avg,
|
| 29 |
+
median(end - start) AS med,
|
| 30 |
+
min(end - start) AS min,
|
| 31 |
+
max(end - start) AS max,
|
| 32 |
+
stdev(end - start) AS stddev
|
| 33 |
+
FROM
|
| 34 |
+
CUPTI_ACTIVITY_KIND_KERNEL
|
| 35 |
+
GROUP BY 1
|
| 36 |
+
),
|
| 37 |
+
totals AS (
|
| 38 |
+
SELECT sum(total) AS total
|
| 39 |
+
FROM summary
|
| 40 |
+
)
|
| 41 |
+
SELECT
|
| 42 |
+
round(summary.total * 100.0 / (SELECT total FROM totals), 1) AS "Time:ratio_%",
|
| 43 |
+
summary.total AS "Total Time:dur_ns",
|
| 44 |
+
summary.num AS "Instances",
|
| 45 |
+
round(summary.avg, 1) AS "Avg:dur_ns",
|
| 46 |
+
round(summary.med, 1) AS "Med:dur_ns",
|
| 47 |
+
summary.min AS "Min:dur_ns",
|
| 48 |
+
summary.max AS "Max:dur_ns",
|
| 49 |
+
round(summary.stddev, 1) AS "StdDev:dur_ns",
|
| 50 |
+
ids.value AS "Name"
|
| 51 |
+
FROM
|
| 52 |
+
summary
|
| 53 |
+
LEFT JOIN
|
| 54 |
+
StringIds AS ids
|
| 55 |
+
ON ids.id == summary.nameId
|
| 56 |
+
ORDER BY 2 DESC, 3, "Name"
|
| 57 |
+
;
|
| 58 |
+
"""
|
| 59 |
+
|
| 60 |
+
table_checks = {
|
| 61 |
+
'CUPTI_ACTIVITY_KIND_KERNEL':
|
| 62 |
+
'{DBFILE} does not contain CUDA kernel data.'
|
| 63 |
+
}
|
| 64 |
+
|
| 65 |
+
_arg_opts = [
|
| 66 |
+
[['base'], {'action': 'store_true'}],
|
| 67 |
+
[['mangled'], {'action': 'store_true'}],
|
| 68 |
+
]
|
| 69 |
+
|
| 70 |
+
def setup(self):
|
| 71 |
+
err = super().setup()
|
| 72 |
+
if err != None:
|
| 73 |
+
return err
|
| 74 |
+
|
| 75 |
+
name_col_name = 'demangledName'
|
| 76 |
+
if self.parsed_args.base:
|
| 77 |
+
name_col_name = 'shortName'
|
| 78 |
+
elif (self.parsed_args.mangled and
|
| 79 |
+
self.table_col_exists('CUPTI_ACTIVITY_KIND_KERNEL', 'mangledName')):
|
| 80 |
+
name_col_name = 'mangledName'
|
| 81 |
+
|
| 82 |
+
self.query = self.query_stub.format(NAME_COL_NAME = name_col_name)
|
| 83 |
+
|
| 84 |
+
if __name__ == "__main__":
|
| 85 |
+
CUDAGPUKernelSummary.Main()
|
cuda_toolkit/nsight-systems/nsight-systems/2023.4.4/host-windows-x64/reports/gpumemsizesum.py
ADDED
|
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# SPDX-FileCopyrightText: Copyright (c) 2020-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
| 4 |
+
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
|
| 5 |
+
#
|
| 6 |
+
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
|
| 7 |
+
# property and proprietary rights in and to this material, related
|
| 8 |
+
# documentation and any modifications thereto. Any use, reproduction,
|
| 9 |
+
# disclosure or distribution of this material and related documentation
|
| 10 |
+
# without an express license agreement from NVIDIA CORPORATION or
|
| 11 |
+
# its affiliates is strictly prohibited.
|
| 12 |
+
|
| 13 |
+
import nsysstats
|
| 14 |
+
|
| 15 |
+
class CUDAGPUMemorySizeSummary(nsysstats.StatsReport):
|
| 16 |
+
|
| 17 |
+
display_name = 'DEPRECATED - Use cuda_gpu_mem_size_sum instead'
|
| 18 |
+
usage = '{SCRIPT} -- {{DISPLAY_NAME}}'
|
| 19 |
+
should_display = False
|
| 20 |
+
|
| 21 |
+
query_stub = """
|
| 22 |
+
WITH
|
| 23 |
+
memops AS (
|
| 24 |
+
{MEM_SUB_QUERY}
|
| 25 |
+
),
|
| 26 |
+
summary AS (
|
| 27 |
+
SELECT
|
| 28 |
+
name AS name,
|
| 29 |
+
sum(size) AS total,
|
| 30 |
+
count(*) AS num,
|
| 31 |
+
avg(size) AS avg,
|
| 32 |
+
median(size) AS med,
|
| 33 |
+
min(size) AS min,
|
| 34 |
+
max(size) AS max,
|
| 35 |
+
stdev(size) AS stddev
|
| 36 |
+
FROM memops
|
| 37 |
+
GROUP BY 1
|
| 38 |
+
)
|
| 39 |
+
SELECT
|
| 40 |
+
summary.total AS "Total:mem_B",
|
| 41 |
+
summary.num AS "Count",
|
| 42 |
+
summary.avg AS "Avg:mem_B",
|
| 43 |
+
summary.med AS "Med:mem_B",
|
| 44 |
+
summary.min AS "Min:mem_B",
|
| 45 |
+
summary.max AS "Max:mem_B",
|
| 46 |
+
summary.stddev AS "StdDev:mem_B",
|
| 47 |
+
summary.name AS "Operation"
|
| 48 |
+
FROM
|
| 49 |
+
summary
|
| 50 |
+
ORDER BY 1 DESC
|
| 51 |
+
;
|
| 52 |
+
"""
|
| 53 |
+
|
| 54 |
+
query_memcpy = """
|
| 55 |
+
SELECT
|
| 56 |
+
'[CUDA memcpy ' || mos.label || ']' AS name,
|
| 57 |
+
mcpy.bytes AS size
|
| 58 |
+
FROM
|
| 59 |
+
CUPTI_ACTIVITY_KIND_MEMCPY as mcpy
|
| 60 |
+
INNER JOIN
|
| 61 |
+
ENUM_CUDA_MEMCPY_OPER AS mos
|
| 62 |
+
ON mos.id == mcpy.copyKind
|
| 63 |
+
"""
|
| 64 |
+
|
| 65 |
+
query_memset = """
|
| 66 |
+
SELECT
|
| 67 |
+
'[CUDA memset]' AS name,
|
| 68 |
+
bytes AS size
|
| 69 |
+
FROM
|
| 70 |
+
CUPTI_ACTIVITY_KIND_MEMSET
|
| 71 |
+
"""
|
| 72 |
+
|
| 73 |
+
query_union = """
|
| 74 |
+
UNION ALL
|
| 75 |
+
"""
|
| 76 |
+
|
| 77 |
+
def setup(self):
|
| 78 |
+
err = super().setup()
|
| 79 |
+
if err != None:
|
| 80 |
+
return err
|
| 81 |
+
|
| 82 |
+
sub_queries = []
|
| 83 |
+
|
| 84 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMCPY'):
|
| 85 |
+
if not self.table_exists('ENUM_CUDA_MEMCPY_OPER'):
|
| 86 |
+
return '{DBFILE} does not contain ENUM_CUDA_MEMCPY_OPER table.'
|
| 87 |
+
sub_queries.append(self.query_memcpy)
|
| 88 |
+
|
| 89 |
+
if self.table_exists('CUPTI_ACTIVITY_KIND_MEMSET'):
|
| 90 |
+
sub_queries.append(self.query_memset)
|
| 91 |
+
|
| 92 |
+
if len(sub_queries) == 0:
|
| 93 |
+
return "{DBFILE} does not contain GPU memory data."
|
| 94 |
+
|
| 95 |
+
self.query = self.query_stub.format(MEM_SUB_QUERY = self.query_union.join(sub_queries))
|
| 96 |
+
|
| 97 |
+
if __name__ == "__main__":
|
| 98 |
+
CUDAGPUMemorySizeSummary.Main()
|