repo_id stringlengths 21 96 | file_path stringlengths 31 155 | content stringlengths 1 92.9M | __index_level_0__ int64 0 0 |
|---|---|---|---|
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholememory/memory_handle.hpp | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholememory/global_reference.cpp | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholememory/tensor_description.cpp | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholememory/communicator.cpp | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/graph_ops/append_unique_impl.h | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/graph_ops/csr_add_self_loop.cpp | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/graph_ops/csr_add_self_loop_impl.cu | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/graph_ops/append_unique_func.cuh | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/graph_ops/csr_add_self_loop_impl.h | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/graph_ops/append_unique.cpp | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/graph_ops/csr_add_self_loop_func.cuh | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/graph_ops/append_unique_impl.cu | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholegraph_ops/unweighted_sample_without_replacement_impl_mapped.cu | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholegraph_ops/sample_comm.cuh | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholegraph_ops/raft_random_gen.cu | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholegraph_ops/weighted_sample_without_replacement_impl.h | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholegraph_ops/weighted_sample_without_replacement_impl_mapped.cu | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholegraph_ops/unweighted_sample_without_replacement_impl.h | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholegraph_ops/unweighted_sample_without_replacement_func.cuh | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholegraph_ops/unweighted_sample_without_replacement.cpp | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholegraph_ops/weighted_sample_without_replacement_func.cuh | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp/src | rapidsai_public_repos/wholegraph/cpp/src/wholegraph_ops/weighted_sample_without_replacement.cpp | /*
* Copyright (c) 2019-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... | 0 |
rapidsai_public_repos/wholegraph/cpp | rapidsai_public_repos/wholegraph/cpp/doxygen/main_page.md | # libwholegraph
libwholegraph is a C++ GPU Accelerated WholeGraph library.
| 0 |
rapidsai_public_repos/wholegraph/cpp | rapidsai_public_repos/wholegraph/cpp/doxygen/header.html | <!-- HTML header for doxygen 1.8.20-->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" con... | 0 |
rapidsai_public_repos/wholegraph | rapidsai_public_repos/wholegraph/ci/test_python.sh | #!/bin/bash
# Copyright (c) 2022-2023, NVIDIA CORPORATION.
set -euo pipefail
. /opt/conda/etc/profile.d/conda.sh
ARCH=$(arch)
EXITCODE=0
if [ "${ARCH}" = "aarch64" ]; then
rapids-logger "Exiting aarch64 due to no pytorch-cuda"
exit ${EXITCODE}
fi
if [ "${RAPIDS_CUDA_VERSION:0:2}" == "12" ]; then
rapids-logge... | 0 |
rapidsai_public_repos/wholegraph | rapidsai_public_repos/wholegraph/ci/test_cpp.sh | #!/bin/bash
# Copyright (c) 2022-2023, NVIDIA CORPORATION.
set -euo pipefail
. /opt/conda/etc/profile.d/conda.sh
rapids-logger "Generate C++ testing dependencies"
rapids-dependency-file-generator \
--output conda \
--file_key test_cpp \
--matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch)" | tee env.yaml
rap... | 0 |
rapidsai_public_repos/wholegraph | rapidsai_public_repos/wholegraph/ci/build_python.sh | #!/bin/bash
# Copyright (c) 2022-2023, NVIDIA CORPORATION.
set -euo pipefail
source rapids-env-update
export CMAKE_GENERATOR=Ninja
rapids-print-env
PACKAGES="libwholegraph"
CPP_CHANNEL=$(rapids-download-conda-from-s3 cpp)
version=$(rapids-generate-version)
git_commit=$(git rev-parse HEAD)
export RAPIDS_PACKAGE_V... | 0 |
rapidsai_public_repos/wholegraph | rapidsai_public_repos/wholegraph/ci/build_wheel.sh | #!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
set -euo pipefail
package_name="pylibwholegraph"
package_dir="python/pylibwholegraph"
source rapids-configure-sccache
source rapids-date-string
version=$(rapids-generate-version)
git_commit=$(git rev-parse HEAD)
RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-ge... | 0 |
rapidsai_public_repos/wholegraph | rapidsai_public_repos/wholegraph/ci/check_style.sh | #!/bin/bash
# Copyright (c) 2020-2023, NVIDIA CORPORATION.
set -euo pipefail
rapids-logger "Create checks conda environment"
. /opt/conda/etc/profile.d/conda.sh
rapids-dependency-file-generator \
--output conda \
--file_key checks \
--matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}"... | 0 |
rapidsai_public_repos/wholegraph | rapidsai_public_repos/wholegraph/ci/test_wheel.sh | #!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
set -e # abort the script on error
set -o pipefail # piped commands propagate their error
set -E # ERR traps are inherited by subcommands
mkdir -p ./dist
RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
RAPIDS_PY_WHEEL_... | 0 |
rapidsai_public_repos/wholegraph | rapidsai_public_repos/wholegraph/ci/build_cpp.sh | #!/bin/bash
# Copyright (c) 2022-2023, NVIDIA CORPORATION.
set -euo pipefail
source rapids-env-update
export CMAKE_GENERATOR=Ninja
rapids-print-env
version=$(rapids-generate-version)
rapids-logger "Begin cpp build"
RAPIDS_PACKAGE_VERSION=${version} rapids-conda-retry mambabuild conda/recipes/libwholegraph
rapid... | 0 |
rapidsai_public_repos/wholegraph | rapidsai_public_repos/wholegraph/ci/build_docs.sh | #!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
set -euo pipefail
rapids-logger "Create test conda environment"
. /opt/conda/etc/profile.d/conda.sh
rapids-dependency-file-generator \
--output conda \
--file_key docs \
--matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}" | tee en... | 0 |
rapidsai_public_repos/wholegraph | rapidsai_public_repos/wholegraph/ci/test_clang_tidy.sh | #!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
set -euo pipefail
rapids-logger "Create clang-tidy conda environment"
. /opt/conda/etc/profile.d/conda.sh
rapids-logger "Generate clang-tidy testing dependencies"
rapids-dependency-file-generator \
--output conda \
--file_key clang_tidy \
--matrix "cuda=${R... | 0 |
rapidsai_public_repos/wholegraph/ci | rapidsai_public_repos/wholegraph/ci/release/update-version.sh | #!/bin/bash
# Copyright (c) 2018-2023, NVIDIA CORPORATION.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 0 |
rapidsai_public_repos/wholegraph/ci | rapidsai_public_repos/wholegraph/ci/checks/copyright.py | # Copyright (c) 2019-2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 0 |
rapidsai_public_repos | rapidsai_public_repos/gputreeshap/CMakeLists.txt | #=============================================================================
# Copyright (c) 2020-2023 NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www... | 0 |
rapidsai_public_repos | rapidsai_public_repos/gputreeshap/Doxyfile.in | # Doxyfile 1.8.20
# This file describes the settings to be used by the documentation system
# doxygen (www.doxygen.org) for a project.
#
# All text after a double hash (##) is considered a comment and is placed in
# front of the TAG it is preceding.
#
# All text after a single hash (#) is considered a comment and will... | 0 |
rapidsai_public_repos | rapidsai_public_repos/gputreeshap/fetch_rapids.cmake | # =============================================================================
# Copyright (c) 2023, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.o... | 0 |
rapidsai_public_repos | rapidsai_public_repos/gputreeshap/README.md | # GPUTreeShap
GPUTreeShap is a cuda implementation of the TreeShap algorithm by Lundberg et al. [1] for Nvidia GPUs. It is a header only module designed to be included in decision tree libraries as a fast backend for model interpretability using SHAP values. GPUTreeShap also implements variants of TreeShap based on Ta... | 0 |
rapidsai_public_repos | rapidsai_public_repos/gputreeshap/build.sh | #!/bin/bash
set -euo pipefail
mkdir -p build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release -DBUILD_GTEST=ON -DBUILD_EXAMPLES=ON -DBUILD_BENCHMARKS=ON
make -j4
cmake --build . --target docs_gputreeshap
| 0 |
rapidsai_public_repos | rapidsai_public_repos/gputreeshap/dependencies.yaml | # Dependency list for https://github.com/rapidsai/dependency-file-generator
files:
build:
output: none
includes:
- build
- docs
channels:
- rapidsai
- conda-forge
dependencies:
build:
common:
- output_types: [conda]
packages:
- binutils
- cmake
... | 0 |
rapidsai_public_repos | rapidsai_public_repos/gputreeshap/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... | 0 |
rapidsai_public_repos/gputreeshap | rapidsai_public_repos/gputreeshap/tests/test_utils.h | /*
* Copyright (c) 2020, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/gputreeshap | rapidsai_public_repos/gputreeshap/tests/test_gpu_treeshap.cu | /*
* Copyright (c) 2020, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/gputreeshap | rapidsai_public_repos/gputreeshap/benchmark/benchmark.py | import xgboost as xgb
import numpy as np
import time
from sklearn import datasets
from joblib import Memory
import pandas as pd
import argparse
memory = Memory('./cachedir', verbose=0)
# Contains a dataset in numpy format as well as the relevant objective and metric
class TestDataset:
def __init__(self, name, Xy... | 0 |
rapidsai_public_repos/gputreeshap | rapidsai_public_repos/gputreeshap/benchmark/format_results.py | import pandas as pd
import argparse
def print_format(df, format):
if "csv" in format:
print(df.to_csv(index=False))
if "latex" in format:
print(df.to_latex(index=False, float_format="%.2f"))
if "text" in format:
print(df)
if "md" in format:
from pytablewriter import Mar... | 0 |
rapidsai_public_repos/gputreeshap | rapidsai_public_repos/gputreeshap/benchmark/benchmark_gpu_treeshap.cu | /*
* Copyright (c) 2022, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/gputreeshap | rapidsai_public_repos/gputreeshap/GPUTreeShap/gpu_treeshap.h | /*
* Copyright (c) 2022, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/gputreeshap | rapidsai_public_repos/gputreeshap/example/example.cu | /*
* Copyright (c) 2020, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... | 0 |
rapidsai_public_repos/gputreeshap | rapidsai_public_repos/gputreeshap/cmake/doxygen.cmake | # Copyright (c) 2019-2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 0 |
rapidsai_public_repos/gputreeshap | rapidsai_public_repos/gputreeshap/ci/build_and_test.sh | #!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
set -euo pipefail
. /opt/conda/etc/profile.d/conda.sh
rapids-logger "Generate C++ build & test dependencies"
rapids-dependency-file-generator \
--output conda \
--file_key build \
--matrix "cuda=${RAPIDS_CUDA_VERSION%.*};arch=$(arch);py=${RAPIDS_PY_VERSION}" ... | 0 |
rapidsai_public_repos/gputreeshap | rapidsai_public_repos/gputreeshap/ci/check_style.sh | #!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
# Ignore errors
set +e
RETVAL="0"
. /opt/conda/etc/profile.d/conda.sh
# Check for a consistent code format
pip install cpplint
FORMAT=$(cpplint --recursive GPUTreeShap tests example benchmark 2>&1)
FORMAT_RETVAL=$?
if [ "$RETVAL" = "0" ]; then
RETVAL=$FORMAT_RE... | 0 |
rapidsai_public_repos/gputreeshap/ci | rapidsai_public_repos/gputreeshap/ci/release/update-version.sh | #!/bin/bash
# Copyright (c) 2023 NVIDIA CORPORATION.
###############################
# gputreeshap Version Updater #
###############################
## Usage
# bash update-version.sh <new_version>
# Format is YY.MM.PP - no leading 'v' or trailing 'a'
NEXT_FULL_TAG=$1
# Get current version
CURRENT_TAG=$(git tag --me... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuDataShader/README.md | # <div align="left"><img src="https://rapids.ai/assets/images/rapids_logo.png" width="90px"/> cuDataShader</div>
## NOTE: This repository is for experimental features only and NOT actively maintained. Full cuDF functionality is now natively available in [Datashader](https://datashader.org/user_guide/Performance.h... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuDataShader/CHANGELOG.md | # cuDataShader 0.1.0 (20 09 2019)
## New Features
- GPU accelerated datashader
## Improvements
- Faster
## Bug Fixes
- None
| 0 |
rapidsai_public_repos | rapidsai_public_repos/cuDataShader/CONTRIBUTING.md | # Contributing to cuDataShader
If you are interested in contributing to cuDataShader, your contributions will fall
into three categories:
1. You want to report a bug, feature request, or documentation issue
- File an [issue](https://github.com/rapidsai/cuDataShader/issues/new/choose)
describing what you encoun... | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuDataShader/setup.py | from setuptools import setup
setup(name='cudatashader',
version='0.1',
description='GPU accelerated visualization for Data Science',
license='Apache License 2.0',
packages=['cudatashader'],
zip_safe=False) | 0 |
rapidsai_public_repos | rapidsai_public_repos/cuDataShader/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader-notebooks/cuDatashader Edge Bundling (US air traffic).ipynb | import math
import numpy as np
import pandas as pd
import cudatashader as ds
import cudatashader.transfer_functions as tf
from cudatashader.bundling import fdeb_bundle, connect_edges
import cudf
import time
np.set_printoptions(threshold=np.inf)from pyproj import Proj, transform
sx, tx = 7.069645631678011e-07, 10.23... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader-notebooks/cuDatashader.ipynb | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import cudf
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "0" # Choose GPU
pdf = pd.read_csv('data/nyc_taxi.csv', usecols=['dropoff_latitude','dropoff_longitude', 'passenger_count']) # Load into Pandas DF and select rows
pdf['passenger_count'] =... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader-notebooks/README.md | ## cuDataShader Notebook examples
This folder contains some example notebooks using cuDataShader to render large amounts of UMAP data, and graph data using a GPU accelerated edge bundling.
| 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader-notebooks/cuDatashader Edge Bundling.ipynb | from IPython.display import Image
Image(filename='data/FDEB_edge_bundling.gif')Image(filename='data/compatibility.png')Image(filename='data/forces.gif')import math
import numpy as np
import pandas as pd
import cudatashader as ds
import cudatashader.transfer_functions as tf
from cudatashader.bundling import fdeb_bundle... | 0 |
rapidsai_public_repos/cuDataShader/cudatashader-notebooks | rapidsai_public_repos/cuDataShader/cudatashader-notebooks/data/flights.csv | PASSENGERS,ORIGIN_AIRPORT_ID,DEST_AIRPORT_ID
1,12264,10397
1,13541,12197
1,10599,12206
1,10792,10581
1,10792,14576
1,11066,11042
1,12339,13931
1,11588,10559
1,10868,13303
1,10006,10170
1,10056,10042
1,10056,12705
1,10056,12854
1,10056,12869
1,10278,10056
1,12705,10056
1,12721,12866
1,12771,10056
1,12782,10556
1,12854,1... | 0 |
rapidsai_public_repos/cuDataShader/cudatashader-notebooks | rapidsai_public_repos/cuDataShader/cudatashader-notebooks/data/airports.csv | AIRPORT_ID,LATITUDE,LONGITUDE
10001,58.10944444,-152.90666667
10003,65.54805556,-161.07166667
10004,68.08333333,-163.16666667
10005,67.57,-148.18388889
10006,57.74527778,-152.88277778
10007,55.55472222,-133.10166667
10008,59.15694444,-151.82916667
10009,59.36277778,-153.43055556
10010,42.28888889,-73.71027778
10011,35.... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader-3d-demo/OrbitControls.js | /**
* @author qiao / https://github.com/qiao
* @author mrdoob / http://mrdoob.com
* @author alteredq / http://alteredqualia.com/
* @author WestLangley / http://github.com/WestLangley
* @author erich666 / http://erichaines.com
* @author ScieCode / http://github.com/sciecode
*/
import {
EventDispatcher,
MOUSE,
... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader-3d-demo/cuDatashader 3D UMAP Demo.html | <!DOCTYPE html>
<html lang="en">
<head>
<title>cuDatashader 3D UMAP Demo</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, user-scalable=no, minimum-scale=1.0, maximum-scale=1.0">
<link type="text/css" rel="stylesheet" href="main.css">
<script src="https://cdnjs.cl... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader-3d-demo/README.md | ## cuDataShader 3D UMAP Demo
The cuDatashader 3D UMAP demo makes it possible to visualize thousands+ of 3D points in real time from a web application connected to a backend server rendering with cuDatashader and a frontend utilizing three.js orbit controls. In this demo, the rendering server computes a UMAP embedding ... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader-3d-demo/render_server.py | from cuml.manifold import UMAP
from sklearn.datasets import load_digits
from numba import cuda
from pyrr import Matrix44
import numpy as np
import cudatashader as ds
from cudatashader import transfer_functions as tf
from cudatashader.colors import Hot
from IPython.core.display import display, HTML, clear_output
digits... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader/transfer_functions.py | from cudatashader.colors import build_shades
from PIL.Image import fromarray
from numba import cuda
import numpy as np
from math import ceil, log1p
import pandas as pd
maxThreadsPerBlock = cuda.get_current_device().MAX_THREADS_PER_BLOCK
np.seterr(divide='ignore', invalid='ignore')
@cuda.jit('void(float64[:], float64... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader/colors.py | from numba import cuda
import numpy as np
color_lookup = {
'aliceblue': (240, 248, 255),
'antiquewhite': (250, 235, 215),
'aqua': (0, 255, 255),
'aquamarine': (127, 255, 212),
'azure': (240, 255, 255),
'beige': (245, 245, 220),
'bisque': (255, 228, 196),
'black': (0, 0, 0),
'blanchedalmond': (255, 23... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader/reductions.py | from numba import cuda
import numpy as np
import cudf
from numba.cuda.cudadrv.devicearray import DeviceNDArrayBase
import cupy
from math import ceil, isnan
def maxThreadsPerBlock():
return cuda.get_current_device().MAX_THREADS_PER_BLOCK
@cuda.jit('void(float64[:,:])')
def memset_k(input): # Memset aggregation ar... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader/core.py | from numba import cuda
import numpy as np
from cudatashader.reductions import count, any
import cudf
from numba.cuda.cudadrv.devicearray import DeviceNDArrayBase
from math import ceil, log
maxThreadsPerBlock = cuda.get_current_device().MAX_THREADS_PER_BLOCK
# Mask value (-1.79e+308 minimal float)
mask_value = np.fin... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader/bundling.py | from numba import cuda
import numpy as np
import cudf
from math import ceil, sqrt
maxThreadsPerBlock = cuda.get_current_device().MAX_THREADS_PER_BLOCK
@cuda.jit('void(float64[:,:], int64[:,:], float64[:,:])')
def connect_edges_k(nodes, edges, connected_nodes): # Connect edges kernel
i = cuda.grid(1)
if i < ... | 0 |
rapidsai_public_repos/cuDataShader | rapidsai_public_repos/cuDataShader/cudatashader/__init__.py | from cudatashader.core import Canvas
from cudatashader.reductions import count, any, sum, max, mean | 0 |
rapidsai_public_repos | rapidsai_public_repos/gha-tools/README.md | # gha-tools
User tools for RAPIDS GitHub Actions workflows.
### Install gha-tools
This tools repo can be installed from GitHub directly with git clone or wget commands. Examples:
```yml
- name: Download gha-tools with git clone
run: |
git clone https://github.com/rapidsai/gha-tools.git -b main /tmp/gha-tools
... | 0 |
rapidsai_public_repos | rapidsai_public_repos/gha-tools/.shellcheckrc | source-path=tools
external-sources=true
| 0 |
rapidsai_public_repos | rapidsai_public_repos/gha-tools/CONTRIBUTING.md | # Contributing
## Testing Scripts Locally
Before opening a pull-request, it is recommended to test all changes locally.
The command below is a quick way to set up a disposable test environment for the `gha-tools` repository:
```sh
docker run \
--pull=always \
--rm -it \
--network=host \
--gpus all \
-v $H... | 0 |
rapidsai_public_repos | rapidsai_public_repos/gha-tools/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tests/test_rapids-find-anaconda-uploads.py | import sys
from os import environ, path
import importlib
import pytest
from unittest import mock
tools_dir = path.join(path.dirname(path.realpath(__file__)), "..", "tools")
sys.path.insert(0, tools_dir)
# import module w/ invalid characters (hyphens)
mod = importlib.import_module("rapids-find-anaconda-uploads")
@py... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-wheels-anaconda | #!/bin/bash
# A utility script to upload Python wheel packages to Anaconda repository using anaconda-client.
# Positional Arguments:
# 1) wheel name
set -exou pipefail
source rapids-constants
export RAPIDS_SCRIPT_NAME="rapids-wheels-anaconda"
if [ -z "$1" ]; then
rapids-echo-stderr "Must specify input arguments:... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-date-string | #!/bin/bash
# A utility script produces a date string
RAPIDS_DATE_STRING="$(date +%y%m%d)"
if [ "${GITHUB_ACTIONS:-false}" = "true" ]; then
WORKFLOW_DATE=$(rapids-retry gh run view "${GITHUB_RUN_ID}" --json createdAt | jq -r '.createdAt')
RAPIDS_DATE_STRING=$(date -d "${WORKFLOW_DATE}" +%y%m%d)
fi
export RAPIDS_DA... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-pip-wheel-version | #!/bin/bash
# A utility script that generates a pip wheel version
# Positional Arguments:
# 1) epoch timestamp
set -exo pipefail
export RAPIDS_SCRIPT_NAME="rapids-pip-wheel-version"
if [ -z "$1" ]; then
rapids-echo-stderr "Must specify input arguments: EPOCH_TIMESTAMP"
exit 1
fi
epoch_timestamp="$1"
function di... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-mamba-retry | #!/bin/bash
#
# rapids-mamba-retry
#
# Same as rapids-conda-retry, but sets RAPIDS_CONDA_EXE="mamba" to combine both scripts
#
# Configurable options are set using the following env vars:
#
# RAPIDS_MAMBA_BIN - override the mamba binary
# Default is "mamba"
#
# RAPIDS_MAMBA_RE... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/_rapids-download-from-s3 | #!/bin/bash
# A utility script that downloads an artifact archive from S3, untars it,
# and prints the location where it was untarred.
# The script can be used locally and in CI.
# Positional Arguments:
# 1) path to s3 artifact
# 2) location to untar it to
set -euo pipefail
source rapids-constants
s3_dl_path="$1"
... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-generate-version | #!/bin/bash
# A utility script that generates a package version
set -euo pipefail
export RAPIDS_SCRIPT_NAME="rapids-generate-version"
dunamai_format="{base}"
if ! rapids-is-release-build; then
# Nightlies include the distance from the last tag as the alpha version.
dunamai_format="{base}{stage}{distance}"
fi
... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-constants | #!/bin/bash
export RAPIDS_DOWNLOADS_BUCKET="rapids-downloads"
export RAPIDS_DOWNLOADS_DOMAIN="downloads.rapids.ai"
| 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-prompt-local-repo-config | #!/bin/bash
# A utility script that prompts user to setup repository information in
# local environments
if [ "${CI:-false}" = "false" ]; then
rapids-echo-stderr "Local run detected."
rapids-echo-stderr "NVIDIA VPN connectivity is required to download workflow artifacts."
if [ -z "${RAPIDS_BUILD_TYPE:-}" ]; the... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-s3-path | #!/bin/bash
# A utility script that examines environment variables provided
# by GitHub Actions to print out an S3 path where the expected artifact
# should be.
#
# The output format should be one of the following:
#
## For PR builds:
## s3://rapids-downloads/ci/<REPO_NAME>/pull-request/<PR_NUMBER>/<SHORT_HASH>/
## Fo... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/gpuci_logger | #!/bin/bash
#
# gpuci_logger
#
# Compatibility wrapper that calls to the new rapids-logger script
rapids-echo-stderr "'gpuci_logger' is deprecated, please use 'rapids-logger' instead"
rapids-logger "$@"
| 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/gpuci_retry | #!/bin/bash
#
# gpuci_retry
#
# Compatibility wrapper that calls to the new rapids-retry script
# Configurable env vars GPUCI_* are re-exported as RAPIDS_*
rapids-echo-stderr "'gpuci_retry' is deprecated, please use 'rapids-retry' instead"
# alias old GPUCI_ env vars to new RAPIDS_ equivalents if they are set
if [[... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-upload-to-s3 | #!/bin/bash
# A utility script that tars up a specified directory and uploads it to S3
# Positional Arguments:
# 1) package name
# 2) path to tar up
set -eo pipefail
source rapids-constants
export RAPIDS_SCRIPT_NAME="rapids-upload-to-s3"
if [ -z "$1" ] || [ -z "$2" ]; then
rapids-echo-stderr "Must specify both i... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/gpuci_mamba_retry | #!/bin/bash
#
# gpuci_mamba_retry
#
# Compatibility wrapper that calls to the new rapids-mamba-retry script
# Configurable env vars GPUCI_* are re-exported as RAPIDS_*
rapids-echo-stderr "'gpuci_mamba_retry' is deprecated, please use 'rapids-mamba-retry' instead"
# alias old GPUCI_ env vars to new RAPIDS_ equivalent... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-is-release-build | #!/bin/bash
# A utility script that examines environment variables provided by
# GitHub Actions to determine whether the current build is a "release" build.
# A "release" build occurs when the GITHUB_REF environment variable matches
# the pattern "refs/tags/vYY.MM.PP".
# Example:
# if rapids-is-release-build; then e... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-logger | #!/bin/bash
#
# rapids-logger
#
# provides a logging mechanism for scripts to report progress
#
function rapids-logger {
ts=$(date '+%x %T')
# shellcheck disable=SC2000
msg_cnt=$(echo "$@" | wc -c)
width=$((msg_cnt+6))
bar=""
for ((i = 0 ; i <= width ; i++)); do
bar="${bar}─"
done
echo -e "\n\033[3... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-download-conda-from-s3 | #!/bin/bash
# A utility script that downloads a conda artifact archive from S3, untars it,
# and prints the location where it was untarred.
# Positional Arguments:
# 1) a string of "cpp" or "python" which determines which conda artifact
# should be downloaded
set -euo pipefail
export RAPIDS_SCRIPT_NAME="rapids-d... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-print-env | #!/bin/bash
#
# rapids-print-env
#
# Prints summary of environment
rapids-logger "Print env"
env | sort
rapids-logger "Print arch"
arch
rapids-logger "Check python version"
python --version
rapids-logger "Check conda environment"
conda info
conda config --show-sources
conda list --show-channel-urls
| 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-upload-docker-to-s3 | #!/bin/bash
# A utility script that uploads a docker image tag to S3
# Positional Arguments:
# 1) image tag
set -eo pipefail
export RAPIDS_SCRIPT_NAME="rapids-upload-docker-to-s3"
tmp_dir="$(mktemp -d)"
if [ -z "$1" ]; then
rapids-echo-stderr "Must specify input argument: IMAGE_TAG"
exit 1
fi
docker_image="$1"... | 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-download-wheels-from-s3 | #!/bin/bash
# A utility script that downloads wheel artifacts from S3 to /wheelhouse
# Positional Arguments:
# 1) dest dir to download and extract wheels to
set -eo pipefail
source rapids-prompt-local-repo-config
pkg_name="$(rapids-package-name wheel_python)"
rapids-download-from-s3 "${pkg_name}" "$@"
| 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-echo-stderr | #!/usr/bin/env bash
# Echo to stderr helper function
STR=""
if [[ -n "${RAPIDS_SCRIPT_NAME}" ]]; then
STR+="[${RAPIDS_SCRIPT_NAME}] "
fi
STR+="$*"
echo "${STR}" >&2
| 0 |
rapidsai_public_repos/gha-tools | rapidsai_public_repos/gha-tools/tools/rapids-upload-wheels-to-s3 | #!/bin/bash
# A utility script that tars up a wheel directory and uploads it to S3
# Positional Arguments:
# 1) wheel path to tar up
set -e
if [ "${CI:-false}" = "false" ]; then
rapids-echo-stderr "Packages from local builds cannot be uploaded to S3."
rapids-echo-stderr "Open a PR to have successful builds uploa... | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.