relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
PyTorch/SpeechSynthesis/FastPitch | FastPitch | export_torchscript | # *****************************************************************************
# 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/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | jsonModelImporter | /*
* 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/Detection/Efficientdet/effdet/object_detection | object_detection | matcher | # 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... |
TensorFlow/Segmentation/UNet_3D_Medical/scripts | scripts | unet3d_train_full_TF-AMP | # 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 required by applic... |
PyTorch/Forecasting/TFT/triton/runner | runner | config_NVIDIA-DGX-A100-(1x-A100-80GB) | checkpoints:
- name: electricity_bin
url: https://api.ngc.nvidia.com/v2/models/nvidia/dle/tft_base_pyt_ckpt_ds-electricity/versions/22.11.0_amp/zip
- name: traffic_bin
url: https://api.ngc.nvidia.com/v2/models/nvidia/dle/tft_base_pyt_ckpt_ds-traffic/versions/22.11.0_amp/zip
configurations:
- accelerator: none
bat... |
PyTorch/LanguageModeling/BART/scripts/params | params | cnn_dm_params | #!/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/data | data | Downloader | # 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/SpeechRecognition/wav2vec2/scripts | scripts | finetune_vox_960h | #!/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... |
Tools/PyTorch/TimeSeriesPredictionPlatform | TimeSeriesPredictionPlatform | .gitignore | .ipynb_checkpoints
__pycache__
/outputs/
*.zip
/datasets/*/
|
PyTorch/LanguageModeling/Transformer-XL/pytorch/inference | inference | proj_adaptive_softmax_jit | # 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... |
PyTorch/SpeechSynthesis/HiFiGAN/common | common | gpu_affinity | # 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 require... |
PyTorch/Segmentation/MaskRCNN/pytorch/configs | configs | e2e_mask_rcnn_R_101_FPN_1x | MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://ImageNetPretrained/MSRA/R-101"
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: 1000
FPN_P... |
CUDA-Optimized/FastSpeech/fastspeech/utils | utils | pytorch | # 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/inference | inference | deploy | #!/bin/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
#
# Unless required... |
TensorFlow2/LanguageModeling/BERT | BERT | gpu_affinity | # 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/Detection/SSD/models/research/object_detection/core | core | box_list_ops | # 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/Segmentation/UNet_Industrial/model/blocks | blocks | unet_downsample | # !/usr/bin/env python
# -*- coding: utf-8 -*-
# ==============================================================================
#
# 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 ... |
PyTorch/LanguageModeling/BERT/triton/dist6l/scripts/docker | docker | build | #!/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/scripts/configs | configs | squad_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 applic... |
TensorFlow2/LanguageModeling/BERT | BERT | .gitignore | # 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/MaskRCNN/mrcnn_tf2/model/models | models | fpn | # 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... |
PyTorch/SpeechRecognition/Jasper/common/dali | dali | pipeline | # 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 required by ... |
PyTorch/LanguageModeling/BERT/triton/dist4l/scripts/docker | docker | build | #!/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... |
PyTorch/Recommendation/NCF | NCF | ncf | # Copyright (c) 2018, deepakn94, codyaustun, robieta. 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 requir... |
TensorFlow2/Segmentation/MaskRCNN/scripts | scripts | benchmark_training | # 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 required by applic... |
TensorFlow/Detection/SSD/models/research/slim | slim | download_and_convert_data | # 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/Classification/ConvNets/resnet50v1.5/training/AMP | AMP | DGX2V_resnet50_AMP_90E | python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGX2V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
|
TensorFlow/Recommendation/WideAndDeep/utils | utils | dataloader | # 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 required by applic... |
TensorFlow2/LanguageModeling/BERT/data | data | create_biobert_datasets_from_start | #!/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 required... |
PyTorch/Classification/GPUNet/triton/runner | runner | __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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton | triton | check_accuracy | #!/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/Segmentation/MaskRCNN/pytorch | pytorch | requirements | mlperf-compliance==0.0.10
opencv-python==4.4.0.42
yacs
git+https://github.com/NVIDIA/cocoapi.git@nvidia/master#egg=cocoapi&subdirectory=PythonAPI
|
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | faster_rcnn_resnet101_pets | # Faster R-CNN with Resnet-101 (v1) configured for the Oxford-IIIT Pet Dataset.
# Users should configure the fine_tune_checkpoint field in the train config as
# well as the label_map_path and input_path fields in the train_input_reader and
# eval_input_reader. Search for "PATH_TO_BE_CONFIGURED" to find the fields that
... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/tacotron2 | tacotron2 | decoderBuilderPlain | /*
* 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 | GooglePretrainedWeightDownloader | # 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 | runner | task | # 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/Classification/ConvNets/efficientnet_v2/S/evaluation | evaluation | evaluation_AMP_A100-80G | # 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/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | random | /*
* 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/object_detection/core | core | prefetcher | # 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/WideAndDeep/triton/runner | runner | config_NVIDIA-A30 | batching: dynamic
checkpoints:
- name: widedeep_tf2_amp_base_128k_nvtabular
url: ''
configurations:
- checkpoint: widedeep_tf2_amp_base_128k_nvtabular
parameters:
backend_accelerator: amp
checkpoint: widedeep_tf2_amp_base_128k_nvtabular
device_kind: gpu
export_format: tf-savedmodel
export_precis... |
PyTorch/Segmentation/nnUNet/notebooks | notebooks | BraTS22 | #!/usr/bin/env python
# coding: utf-8
# # nnU-Net for BraTS22
#
# # Table of contents
# - [Introduction](#introduction)
# - [Dataset](#dataset)
# - [Data pre-processing](#preprocessing)
# - [Data augmentations](#augmentations)
# - [Loss function](#loss)
# - [Model](#model)
# - [Training](#training)
# - [Inference](#i... |
TensorFlow/Detection/SSD/models/research/object_detection/metrics | metrics | coco_tools | # 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/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/DrugDiscovery/MoFlow/moflow/model | model | coupling | # 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/g3doc | g3doc | defining_your_own_model | # So you want to create a new model!
In this section, we discuss some of the abstractions that we use
for defining detection models. If you would like to define a new model
architecture for detection and use it in the Tensorflow Detection API,
then this section should also serve as a high level guide to the files that... |
TensorFlow/Detection/SSD/models/research/object_detection/data | data | pet_label_map | item {
id: 1
name: 'Abyssinian'
}
item {
id: 2
name: 'american_bulldog'
}
item {
id: 3
name: 'american_pit_bull_terrier'
}
item {
id: 4
name: 'basset_hound'
}
item {
id: 5
name: 'beagle'
}
item {
id: 6
name: 'Bengal'
}
item {
id: 7
name: 'Birman'
}
item {
id: 8
name: 'Bombay'
}
i... |
PyTorch/Detection/Efficientdet/effdet/layers | layers | nms_layer | """ PyTorch Soft-NMS
This code was adapted from a PR for detectron2 submitted by https://github.com/alekseynp
https://github.com/facebookresearch/detectron2/pull/1183/files
Detectron2 is licensed Apache 2.0, Copyright Facebook Inc.
"""
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under th... |
TensorFlow2/Segmentation/nnUNet/runtime | runtime | logging | # 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/Translation/Transformer/scripts | scripts | run_inference | : ${FP16:=0}
[ ${FP16} -ne 0 ] && PREC="--fp16"
sacrebleu -t wmt14/full -l en-de --echo src | \
python inference.py \
--buffer-size 5000 \
--path /checkpoints/transformer_pyt_20.06.pt \
--max-tokens 10240 \
--fuse-dropout-add \
--remove-bpe \
--bpe-codes /checkpoints/bpe_codes \
${PREC} \
... |
TensorFlow2/Recommendation/WideAndDeep/triton/runner/maintainer | maintainer | exceptions | # 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/LanguageModeling/BERT/triton/deployment_toolkit/model_analyzer | model_analyzer | __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/Classification/ConvNets/image_classification | image_classification | training | # Copyright (c) 2018-2019, NVIDIA CORPORATION
# Copyright (c) 2017- Facebook, Inc
#
# 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 ... |
PyTorch/LanguageModeling/BERT/triton/deployment_toolkit | deployment_toolkit | __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/LanguageModeling/BERT/triton/runner/maintainer | maintainer | __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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/scripts/autobench | autobench | ngc_electricity_HP_search | NGC: &NGC
hostname: ngc
instance: dgx1v.32g.8.norm.beta
job_name: "ml-model.tft electricity HP search"
docker_image: nvcr.io/nvidian/swdl/jbaczek:tft_pyt
datasets:
/data: 78291
workspaces:
/ws: VUMFFB3uSv25FDlkXg80Vw
download_dir: /home/jbaczek/Downloads
jobs:
- steps:
- EPOCHS=30 DATAS... |
PyTorch/Detection/Efficientdet/data | data | dataloader_test | # 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/Segmentation/UNet_Industrial/scripts | scripts | UNet_FP32_1GPU_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... |
TensorFlow2/Classification/ConvNets/dataloader | dataloader | dataset_factory | # Lint as: python3
# 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... |
PyTorch/Forecasting/TFT | TFT | train | # 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 require... |
CUDA-Optimized/FastSpeech/waveglow | waveglow | model | # *****************************************************************************
# 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... |
TensorFlow/Translation/GNMT/scripts | scripts | parse_log | # 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 applicab... |
PyTorch/Recommendation/DLRM/preproc | preproc | DGX-2_config | #!/bin/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
#
# Unless requ... |
TensorFlow/Segmentation/UNet_Industrial/datasets | datasets | dagm2007 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
##############################################################################
# Copyright (c) Jonathan Dekhtiar - contact@jonathandekhtiar.eu
# All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of... |
PyTorch/LanguageModeling/BERT/triton/dist6l/runner | runner | config_NVIDIA-DGX-1-(1x-V100-32GB) | checkpoints:
- name: dist-6l-qa
url: https://api.ngc.nvidia.com/v2/models/nvidia/dle/bert_pyt_ckpt_distilled_6l_768d_qa_squad11_amp/versions/20.12.0/zip
configurations:
- accelerator: none
accelerator_precision: fp16
batch_size:
- 1
batch_sizes: '1'
capture_cuda_graph: 0
checkpoint_variant: dist-6l-qa
e... |
Tools/PyTorch/TimeSeriesPredictionPlatform/loggers | loggers | backends | # 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 require... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/data/datasets | datasets | list_dataset | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""
Simple dataset class that wraps a list of path names
"""
from PIL import Image
from maskrcnn_benchmark.structures.bounding_box import BoxList
class ListDataset(object):
def __init__(self, image_lists, transforms=None):
self.imag... |
PyTorch/Forecasting/TFT/triton/runner/maintainer/docker | docker | container | # 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... |
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | faster_rcnn_inception_v2_pets | # Faster R-CNN with Inception v2, configured for Oxford-IIIT Pets Dataset.
# Users should configure the fine_tune_checkpoint field in the train config as
# well as the label_map_path and input_path fields in the train_input_reader and
# eval_input_reader. Search for "PATH_TO_BE_CONFIGURED" to find the fields that
# sho... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton/deployment_toolkit/bermuda | bermuda | onnx | # 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... |
TensorFlow2/LanguageModeling/BERT | BERT | common_flags | # 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/distillation/utils | utils | convert_ckpts | # coding=utf-8
# 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 re... |
PyTorch/LanguageModeling/BART/bart/configuration | configuration | configuration_t5 | # coding=utf-8
# Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved.
# Copyright 2010, The T5 Authors and HuggingFace Inc.
#
# 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... |
PyTorch/Recommendation/DLRM/dlrm/cuda_src/dot_based_interact | dot_based_interact | dot_based_interact_fp32_bwd | #include <cuda.h>
#include <cuda_fp16.h>
#include <cuda_runtime_api.h>
#include <device_launch_parameters.h>
#include <mma.h>
#include <cuda_fp16.hpp>
#include <math.h>
#include <fstream>
#include <iomanip>
#include <iostream>
#include <vector>
#include <ATen/cuda/CUDAContext.h>
#include <torch/extension.h>
#include... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/benchmark/data_loader/datasets | datasets | base_dataset | # 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... |
Kaldi/SpeechRecognition/notebooks | notebooks | Kaldi_TRTIS_inference_online_demo | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# Copyright 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/licen... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt | tft_pyt | train | # 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 ... |
PyTorch/SpeechRecognition/wav2vec2/common/fairseq/modules | modules | transpose_last | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may n... |
TensorFlow2/LanguageModeling/BERT/scripts/configs | configs | pretrain_config | #!/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
#
# Unles... |
PyTorch/SpeechSynthesis/HiFiGAN/scripts | scripts | inference_benchmark | #!/usr/bin/env bash
export CUDNN_V8_API_ENABLED=1 # Keep the flag for older containers
export TORCH_CUDNN_V8_API_ENABLED=1
set -a
: ${AMP:=false}
: ${CUDNN_BENCHMARK:=true}
: ${FILELIST:="data/filelists/benchmark_8_128.tsv"}
: ${OUTPUT_DIR:="./results"}
: ${TORCHSCRIPT:=true}
: ${REPEATS:=200}
: ${WARMUP:=100}
: ${... |
TensorFlow/Translation/GNMT/examples | examples | DGX1_AMP_1GPU | python nmt.py --output_dir=results --batch_size=128 --learning_rate=5e-4 --amp
|
PyTorch/Classification/ConvNets/image_classification/models | models | common | import copy
from collections import OrderedDict
from dataclasses import dataclass
from typing import Optional
import torch
import warnings
from torch import nn
import torch.nn.functional as F
try:
from pytorch_quantization import nn as quant_nn
except ImportError as e:
warnings.warn(
"pytorch_quantizat... |
PyTorch/SpeechSynthesis/FastPitch/triton/deployment_toolkit | deployment_toolkit | args | # 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/Detection/SSD/models/research/slim/nets | nets | i3d_utils | # 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 applicable ... |
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | rfcn_resnet101_pets | # R-FCN with Resnet-101 (v1), configured for Oxford-IIIT Pets Dataset.
# Users should configure the fine_tune_checkpoint field in the train config as
# well as the label_map_path and input_path fields in the train_input_reader and
# eval_input_reader. Search for "PATH_TO_BE_CONFIGURED" to find the fields that
# should... |
PyTorch/Segmentation/nnUNet | nnUNet | download | # 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/Translation/Transformer/scripts | scripts | run_DGX2_AMP | #! /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 requi... |
DGLPyTorch/DrugDiscovery/SE3Transformer/se3_transformer/data_loading | data_loading | __init__ | from .qm9 import QM9DataModule
|
PyTorch/Forecasting/TFT | TFT | criterions | # 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 require... |
PyTorch/LanguageModeling/Transformer-XL/pytorch/scripts/tests | tests | infer_bench | #!/bin/bash
# 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
#
# Un... |
PyTorch/SpeechSynthesis/Tacotron2/scripts/docker | docker | build | #!/bin/bash
docker build . --rm -t tacotron2
|
TensorFlow2/Recommendation/WideAndDeep/triton/deployment_toolkit/triton_performance_runner/model_analyzer | model_analyzer | runner | # 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/Recommendation/NCF | NCF | full_test_suite | rm -r /data/cache/ml-20m
## Prepare the standard dataset:
./prepare_dataset.sh
## Prepare the modified dataset:
./test_dataset.sh
## Run on the modified dataset:
./test_cases.sh
## Check featurespec:
python test_featurespec_correctness.py /data/cache/ml-20m/feature_spec.yaml /data/ml-20m/feature_spec_template.y... |
PyTorch/SpeechSynthesis/Tacotron2/phrases | phrases | phrase_4_64 | She sells seashells by the seashore, shells she sells are great
She sells seashells by the seashore, shells she sells are great
She sells seashells by the seashore, shells she sells are great
She sells seashells by the seashore, shells she sells are great
|
PyTorch/SpeechSynthesis/FastPitch | FastPitch | .gitignore | runs*/
LJSpeech-1.1/
output*
scripts_joc/
tests/
pretrained_models/
*.pyc
__pycache__
.idea/
.DS_Store
*.swp
*.swo
*.swn
|
PyTorch/SpeechSynthesis/Tacotron2/tacotron2_common | tacotron2_common | layers | # *****************************************************************************
# 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... |
TensorFlow2/LanguageModeling/BERT/official/utils/misc | misc | distribution_utils_test | # 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... |
PyTorch/Detection/SSD/examples | examples | SSD300_FP16_1GPU | # This script launches SSD300 training in FP16 on 1 GPUs using 64 batch size
# Usage bash SSD300_FP16_1GPU.sh <path to this repository> <path to dataset> <additional flags>
python $1/main.py --backbone resnet50 --warmup 300 --bs 64 --data $2 ${@:3}
|
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/data | data | README | # Setting Up Datasets
This file describes how to perform training on other datasets.
Only Pascal VOC dataset can be loaded from its original format and be outputted to Pascal style results currently.
We expect the annotations from other datasets be converted to COCO json format, and
the output will be in COCO-style. ... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/cli/commands | commands | synthesize | # 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... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/deployment/deployment_toolkit/triton_performance_runner/perf_analyzer | perf_analyzer | runner | # 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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