relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
Tools/DGLPyTorch/SyntheticGraphGeneration/demos/basic_examples | basic_examples | e2e_ieee_demo | #!/usr/bin/env python
# coding: utf-8
# Copyright 2023 NVIDIA Corporation. All Rights Reserved.
#
# 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-... |
PyTorch/SpeechRecognition/Jasper/utils | utils | download_utils | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
PyTorch/Translation/GNMT/seq2seq/data | data | config | # Copyright (c) 2017 Elad Hoffer
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without l... |
PyTorch/Classification/ConvNets/image_classification | image_classification | autoaugment | from PIL import Image, ImageEnhance, ImageOps
import numpy as np
import random
class AutoaugmentImageNetPolicy(object):
"""
Randomly choose one of the best 24 Sub-policies on ImageNet.
Reference: https://arxiv.org/abs/1805.09501
"""
def __init__(self):
self.policies = [
SubPoli... |
PyTorch/SpeechSynthesis/Tacotron2/waveglow | waveglow | __init__ | from .entrypoints import nvidia_waveglow
|
PyTorch/Forecasting/TFT/triton | triton | calculate_metrics | #!/usr/bin/env python3
# Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# 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
... |
PyTorch/SpeechRecognition/QuartzNet | QuartzNet | README | # QuartzNet For PyTorch
This repository provides a script and recipe to train the QuartzNet model to achieve state-of-the-art accuracy. The content of this repository is tested and maintained by NVIDIA.
## Table Of Contents
- [Model overview](#model-overview)
* [Model architecture](#model-architecture)
* [De... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt | tft_pyt | modeling | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 ... |
TensorFlow2/Detection/Efficientdet | Efficientdet | eval | # Copyright 2020 Google Research. All Rights Reserved.
#
# 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... |
TensorFlow2/Recommendation/WideAndDeep/triton/deployment_toolkit/triton_performance_runner/perf_analyzer | perf_analyzer | warmup | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# 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 a... |
DGLPyTorch/DrugDiscovery/SE3Transformer/se3_transformer/model | model | transformer | # Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the righ... |
CUDA-Optimized/FastSpeech/fastspeech/trt | trt | common | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditio... |
PyTorch/LanguageModeling/BERT/triton/large/scripts | scripts | setup_parameters | #!/usr/bin/env bash
# Copyright (c) 2021 NVIDIA CORPORATION. All rights reserved.
#
# 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
#
# Unle... |
PaddlePaddle/LanguageModeling/BERT/utils | utils | task | # Copyright (c) 2022 NVIDIA Corporation. All rights reserved.
#
# 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 applic... |
PyTorch/Classification/GPUNet/triton/runner | runner | experiment | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
TensorFlow/Segmentation/UNet_Industrial/scripts | scripts | UNet_AMP_8GPU_XLA | #!/usr/bin/env bash
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# 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
#
# Unle... |
PyTorch/SpeechSynthesis/Tacotron2/tacotron2/text | text | __init__ | """ from https://github.com/keithito/tacotron """
import re
from tacotron2.text import cleaners
from tacotron2.text.symbols import symbols
# Mappings from symbol to numeric ID and vice versa:
_symbol_to_id = {s: i for i, s in enumerate(symbols)}
_id_to_symbol = {i: s for i, s in enumerate(symbols)}
# Regular express... |
PyTorch/Translation/Transformer/fairseq | fairseq | utils | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#--------------------------------... |
TensorFlow/Detection/SSD/models/research/slim/nets/nasnet | nasnet | nasnet_utils | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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 applica... |
TensorFlow/Detection/SSD/models/research/object_detection/core | core | box_list_ops_test | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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 applica... |
TensorFlow2/Segmentation/nnUNet/data_loading | data_loading | utils | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
PyTorch/LanguageModeling/BART/utils | utils | file_utils | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
PyTorch/Detection/SSD | SSD | 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,
... |
PyTorch/Segmentation/MaskRCNN/pytorch/configs | configs | e2e_faster_rcnn_X_101_32x8d_FPN_1x | MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://ImageNetPretrained/FAIR/20171220/X-101-32x8d"
BACKBONE:
CONV_BODY: "R-101-FPN"
OUT_CHANNELS: 256
RPN:
USE_FPN: True
ANCHOR_STRIDE: (4, 8, 16, 32, 64)
PRE_NMS_TOP_N_TRAIN: 2000
PRE_NMS_TOP_N_TEST: 1000
POST_NMS_TOP_N_TEST:... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/deployment_toolkit/bermuda | bermuda | tensorrt | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
TensorFlow2/Segmentation/Contrib/UNet3P/callbacks | callbacks | timing_callback | import sys
from timeit import default_timer as timer
import tensorflow as tf
class TimingCallback(tf.keras.callbacks.Callback):
"""
Custom callback to note training time, latency and throughput
"""
def __init__(self, ):
super(TimingCallback, self).__init__()
self.train_start_time = No... |
PyTorch/Translation/Transformer | Transformer | CONTRIBUTING | # Contributing to FAIR Sequence-to-Sequence Toolkit (PyTorch)
We want to make contributing to this project as easy and transparent as
possible.
## Pull Requests
We actively welcome your pull requests.
1. Fork the repo and create your branch from `master`.
2. If you've added code that should be tested, add tests.
3. I... |
CUDA-Optimized/FastSpeech/fastspeech/hparams | hparams | base | # Path
dataset_path: "/workspace/fastspeech/LJSpeech-1.1"
tacotron2_path: "/workspace/fastspeech/tacotron2_statedict.pt"
waveglow_path: "/workspace/fastspeech/nvidia_waveglow256pyt_fp16"
mels_path: "/workspace/fastspeech/mels_ljspeech1.1"
aligns_path: "/workspace/fastspeech/aligns_ljspeech1.1"
log_path: "/workspace/fas... |
PyTorch/LanguageModeling/BERT/data | data | GLUEDownloader | # Copyright (c) 2019-2021 NVIDIA CORPORATION. All rights reserved.
# 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 appl... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/denoiser | denoiser | denoiserLoader | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
TensorFlow/LanguageModeling/BERT/data | data | WikiDownloader | # Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# 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 applicabl... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/modeling/roi_heads/mask_head | mask_head | roi_mask_predictors | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
from torch import nn
from torch.nn import functional as F
from maskrcnn_benchmark.layers import Conv2d
from maskrcnn_benchmark.layers import ConvTranspose2d
class MaskRCNNC4Predictor... |
TensorFlow/Segmentation/UNet_Medical/examples | examples | unet_TRAIN_BENCHMARK_TF-AMP_1GPU | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
TensorFlow/Detection/SSD/models/research/slim/datasets | datasets | download_and_convert_flowers | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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 applica... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/test | test | Taco2ProjectionLayerPlugin_test | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
Tools/DGLPyTorch/SyntheticGraphGeneration/docker_scripts | docker_scripts | run_docker_notebook | if [ ! "$(ls | grep -c docker_scripts)" -eq 1 ]; then
echo "Run this script from root directory. Usage: bash ./docker_scripts/run_docker_notebook.sh"
exit 1
fi
IMG="${IMAGE:=graph_gen}"
CMD='cd /workspace && echo -e "\nOPEN http://<your_ip>:9916/ and copy token\n\n" && jupyter notebook --ip=0.0.0.0 --port=9916'
... |
TensorFlow2/Segmentation/UNet_Medical/examples | examples | unet_INFER_BENCHMARK_TF-AMP | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
PyTorch/LanguageModeling/BERT/lamb_amp_opt | lamb_amp_opt | main | import copy
import apex
import torch
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.datasets import make_classification, make_regression
from fused_lamb import FusedLAMBAMP
N_SAMPLES = 10000
N_FEATURES = 32
BATCH_SIZE = 100
def print_param_diff(optimizer):
with torch.no_grad(... |
PyTorch/SpeechRecognition/QuartzNet/platform | platform | DGX2_QuartzNet_AMP_8GPU | #!/bin/bash
set -a
: ${NUM_GPUS:=8}
: ${GPU_BATCH_SIZE:=36}
: ${GRAD_ACCUMULATION:=4}
: ${AMP=:true}
bash scripts/train.sh "$@"
|
PyTorch/Segmentation/nnUNet | nnUNet | evaluate | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# 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 a... |
PyTorch/Forecasting/TFT | TFT | README | # Temporal Fusion Transformer For PyTorch
This repository provides a script and recipe to train the Temporal Fusion Transformer model to achieve state-of-the-art accuracy. The content of this repository is tested and maintained by NVIDIA.
## Table Of Contents
- [Model overview](#model-overview)
* [Model architec... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/csrc/cuda | cuda | ROIPool_cuda | // Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
// Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#include <ATen/ATen.h>
#include <ATen/ceil_div.h>
#include <ATen/cuda/CUDAContext.h>
#include <THC/THC.h>
#include <THC/THCAtomics.cuh>
// TODO make it in a common file
#define CUD... |
TensorFlow/Classification/ConvNets | ConvNets | requirements | git+https://github.com/NVIDIA/dllogger#egg=dllogger
mpi4py |
TensorFlow/Segmentation/VNet | VNet | .gitignore | .idea/
*.tar
.ipynb_checkpoints
/_python_build
*.pyc
__pycache__
*.swp
/datasets
/results
|
PyTorch/Classification/GPUNet/triton/runner | runner | summary | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
TensorFlow2/Classification/ConvNets/model | model | common_modules | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
PyTorch/SpeechRecognition/wav2vec2/scripts | scripts | finetune_base_10h | #!/usr/bin/env bash
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# 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
#
# Unle... |
TensorFlow2/LanguageModeling/ELECTRA | ELECTRA | build_pretraining_dataset | # coding=utf-8
# Copyright 2020 The Google Research Authors.
# Copyright (c) 2020 NVIDIA CORPORATION. All rights reserved.
#
# 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.a... |
TensorFlow/Detection/SSD/models/research/slim/nets | nets | nets_factory_test | # Copyright 2016 Google Inc. All Rights Reserved.
#
# 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 agree... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner | runner | config_NVIDIA-DGX-A100-(1x-A100-80GB) | checkpoints:
- name: electricity_bin
url: https://api.ngc.nvidia.com/v2/models/nvidia/tft_pyt_ckpt_base_eletricity_amp/versions/21.06.0/zip
- name: traffic_bin
url: https://api.ngc.nvidia.com/v2/models/nvidia/tft_pyt_ckpt_base_traffic_amp/versions/21.06.0/zip
configurations:
- accelerator: none
batch_size:
- 1
... |
PyTorch/LanguageModeling/BERT/triton/deployment_toolkit/model_analyzer | model_analyzer | exceptions | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
PyTorch/Translation/Transformer | Transformer | README | # Transformer For PyTorch
This repository provides a script and recipe to train the Transformer model to achieve state of the art accuracy, and is tested and maintained by NVIDIA.
## Table Of Contents
* [Model overview](#model-overview)
* [Model architecture](#model-architecture)
* [Default configuration](#de... |
PaddlePaddle/Classification/RN50v1.5/scripts/training | training | train_resnet50_TF32_90E_DGXA100 | # Copyright (c) 2022 NVIDIA Corporation. All rights reserved.
#
# 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 app... |
PyTorch/Forecasting/TFT/triton/deployment_toolkit | deployment_toolkit | utils | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# 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 a... |
PyTorch/SpeechSynthesis/HiFiGAN/fastpitch | fastpitch | arg_parser | # *****************************************************************************
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions... |
PyTorch/LanguageModeling/BART/utils | utils | data_utils | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
PyTorch/SpeechSynthesis/Tacotron2/exports | exports | export_tacotron2_ts_config | # *****************************************************************************
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions... |
PyTorch/Detection/SSD | SSD | main | # Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved.
#
# 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 a... |
PyTorch/LanguageModeling/Transformer-XL | Transformer-XL | README | # Transformer-XL For PyTorch
This repository provides a script and recipe to train the Transformer-XL model
to achieve state-of-the-art accuracy, and is tested and maintained by NVIDIA.
## Table Of Contents
<!-- TOC GFM -->
* [Model overview](#model-overview)
* [Model architecture](#model-architecture)
* [Defau... |
PyTorch/Classification/GPUNet/triton/deployment_toolkit/triton_performance_runner/perf_analyzer | perf_analyzer | __init__ | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
TensorFlow/Detection/SSD/models/research/object_detection | object_detection | model_lib | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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 applica... |
TensorFlow2/LanguageModeling/BERT/official/nlp/modeling/layers | layers | transformer | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# 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 applica... |
MxNet/Classification/RN50v1.5 | RN50v1.5 | requirements | git+https://github.com/NVIDIA/dllogger@v0.1.0#egg=dllogger |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/waveglow | waveglow | waveGlowStreamingInstance | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
TensorFlow/Detection/SSD/models/research/slim | slim | export_inference_graph_test | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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 ... |
TensorFlow2/LanguageModeling/ELECTRA/data | data | BookscorpusTextFormatting | # Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# 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 applicabl... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner/maintainer/docker | docker | __init__ | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
PyTorch/Translation/Transformer/fairseq | fairseq | options | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
#--------------------------------... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen | syngen | __init__ | # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
TensorFlow/Segmentation/UNet_Medical/utils | utils | cmd_util | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
PyTorch/SpeechRecognition/Jasper/platform | platform | DGX2_Jasper_FP32_8GPU | #!/bin/bash
NUM_GPUS=8 AMP=true BATCH_SIZE=64 GRAD_ACCUMULATION_STEPS=2 bash scripts/train.sh "$@"
|
CUDA-Optimized/FastSpeech/fastspeech/inferencer | inferencer | fastspeech_inferencer | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditio... |
TensorFlow/Classification/ConvNets/se-resnext101-32x4d/training | training | DGX1_SE-RNxt101-32x4d_AMP_90E | #!/bin/bash
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
#
# 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 r... |
TensorFlow2/Recommendation/WideAndDeep/tests/feature_specs | feature_specs | less_multihot | channel_spec:
label:
- clicked
map: []
multihot_categorical:
- topic_id_list
numerical:
- document_id_document_id_promo_sim_categories
- document_id_document_id_promo_sim_topics
- document_id_document_id_promo_sim_entities
- document_id_promo_ctr
- publisher_id_promo_ctr
- source_id_promo_ctr
... |
TensorFlow2/Classification/ConvNets/efficientnet_v1/B0/training/TF32 | TF32 | convergence_1xA100-80G | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
PyTorch/Detection/Efficientdet/utils | utils | model_ema | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
CUDA-Optimized/FastSpeech/fastspeech/hparams | hparams | trt_fp16_multi_engine | parent_yaml: 'trt_multi_engine.yaml'
use_fp16: True
# TRT
trt_file_path_list: [
"/fastspeech/preprocessed/v0.2.0/fastspeech.fp16.i32.o256.trt",
"/fastspeech/preprocessed/v0.2.0/fastspeech.fp16.i64.o512.trt",
"/fastspeech/preprocessed/v0.2.0/fastspeech.fp16.i96.o768.trt",
"/fastspeech/preprocessed/v0.2.0/fasts... |
PaddlePaddle/Classification/RN50v1.5/utils | utils | save_load | # Copyright (c) 2022 NVIDIA Corporation. All rights reserved.
#
# 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 applic... |
PyTorch/Classification/GPUNet | GPUNet | eval | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/trainer/optimizer | optimizer | ASGD | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# 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 ... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | hostMemory | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
PyTorch/LanguageModeling/Transformer-XL/pytorch | pytorch | data_utils | # Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
#
# 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... |
TensorFlow/Translation/GNMT/utils | utils | math_utils | # Copyright 2017 Google Inc. All Rights Reserved.
#
# 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 a... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner | runner | config_NVIDIA-T4 | checkpoints:
- name: electricity_bin
url: https://api.ngc.nvidia.com/v2/models/nvidia/tft_pyt_ckpt_base_eletricity_amp/versions/21.06.0/zip
- name: traffic_bin
url: https://api.ngc.nvidia.com/v2/models/nvidia/tft_pyt_ckpt_base_traffic_amp/versions/21.06.0/zip
configurations:
- accelerator: none
batch_size:
- 1
... |
TensorFlow2/LanguageModeling/BERT/official/nlp/transformer | transformer | beam_search_v1 | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# 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 applica... |
TensorFlow/Detection/SSD/models/research/object_detection/g3doc | g3doc | evaluation_protocols | # Supported object detection evaluation protocols
The Tensorflow Object Detection API currently supports three evaluation protocols,
that can be configured in `EvalConfig` by setting `metrics_set` to the
corresponding value.
## PASCAL VOC 2010 detection metric
`EvalConfig.metrics_set='pascal_voc_detection_metrics'`
... |
TensorFlow/Detection/SSD/models/research/object_detection/core | core | minibatch_sampler_test | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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 applica... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | learning_schedules | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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 applica... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/preproc | preproc | run_spark | #!/bin/bash
# Copyright (c) 2020 NVIDIA CORPORATION. All rights reserved.
#
# 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 requ... |
PyTorch/LanguageModeling/BERT/bert_configs | bert_configs | base | {
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"max_position_embeddings": 512,
"num_attention_heads": 12,
"num_hidden_layers": 12,
"type_vocab_size": 2,
"vocab_size": 30528
} |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf | conf | inference_triton_config | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# 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 ... |
TensorFlow/Detection/SSD/models/research/slim/nets | nets | inception_utils | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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 ... |
PaddlePaddle/Classification/RN50v1.5/utils | utils | mode | # Copyright (c) 2022 NVIDIA Corporation. All rights reserved.
#
# 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 applic... |
TensorFlow/Detection/SSD/models/research/slim/nets | nets | inception_v1 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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 ... |
TensorFlow2/Classification/ConvNets/efficientnet_v1/B0/training/AMP | AMP | train_benchmark_8xA100-80G | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
TensorFlow2/LanguageModeling/BERT/official/nlp/modeling/networks | networks | albert_transformer_encoder | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
TensorFlow/Classification/ConvNets/se-resnext101-32x4d/training | training | DGX1_SE-RNxt101-32x4d_FP32_90E | #!/bin/bash
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
#
# 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 r... |
CUDA-Optimized/FastSpeech/fastspeech/trainer | trainer | trainer | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditio... |
TensorFlow/Detection/SSD/models/research/object_detection/core | core | box_coder | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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 applica... |
PyTorch/Classification/ConvNets/triton/deployment_toolkit | deployment_toolkit | report | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# 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 applic... |
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