relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
PyTorch/LanguageModeling/BERT | BERT | optimization | # coding=utf-8
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# Copyright 2018 The Google AI Language Team Authors and The HugginFace Inc. team.
#
# 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 o... |
TensorFlow2/Recommendation/WideAndDeep/data/outbrain/nvtabular | nvtabular | preproc | # 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/Classification/ConvNets/runtime | runtime | runner | # 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
#
# Unless required by applic... |
TensorFlow/Detection/SSD/models/research/object_detection/builders | builders | box_predictor_builder_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/Translation/GNMT/utils | utils | evaluation_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... |
DGLPyTorch/DrugDiscovery/SE3Transformer/tests | tests | utils | # 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... |
PyTorch/Translation/Transformer/fairseq/data | data | data_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/LanguageModeling/BERT/biobert/scripts | scripts | run_biobert_finetuning_inference | #!/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... |
PaddlePaddle/LanguageModeling/BERT/utils | utils | collate | # 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/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/plugins/taco2PrenetPlugin | taco2PrenetPlugin | CMakeLists | #
# 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 appl... |
PyTorch/SpeechRecognition/QuartzNet/common/text/unidecoder | unidecoder | homoglyphs | # 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 appl... |
CUDA-Optimized/FastSpeech/fastspeech | fastspeech | perf_infer_ljspeech | # 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/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/plugins/taco2ProjectionPlugin | taco2ProjectionPlugin | CMakeLists | #
# 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 appl... |
PyTorch/Detection/SSD/ssd | ssd | evaluate | # 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... |
TensorFlow/Detection/SSD/models/research/object_detection/metrics | metrics | tf_example_parser | # 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/LanguageModeling/BERT/triton/dist4l/runner | runner | start_NVIDIA-A30 | # 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/Jasper/common | common | optimizers | # 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/Classification/ConvNets/model/layers | layers | dense | # 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
#
# Unless required by applic... |
TensorFlow/LanguageModeling/BERT | BERT | optimization_test | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# 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/object_detection/box_coders | box_coders | square_box_coder_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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt | tft_pyt | criterions | # 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 ... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner | runner | preparer | # 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/DGLPyTorch/SyntheticGraphGeneration/syngen/analyzer/graph | graph | graph | # 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/LanguageModeling/BERT/official/nlp/modeling/layers | layers | transformer_test | # 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... |
PyTorch/Classification/GPUNet/triton/175ms/runner | runner | start_NVIDIA-DGX-A100-(1x-A100-80GB) | # 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/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/tacotron2 | tacotron2 | postNetBuilder | /*
* 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/data | data | mscoco_label_map | item {
name: "/m/01g317"
id: 1
display_name: "person"
}
item {
name: "/m/0199g"
id: 2
display_name: "bicycle"
}
item {
name: "/m/0k4j"
id: 3
display_name: "car"
}
item {
name: "/m/04_sv"
id: 4
display_name: "motorcycle"
}
item {
name: "/m/05czz6l"
id: 5
display_name: "airplane"
}
item {
... |
TensorFlow/Detection/SSD/models/research/object_detection/data | data | mscoco_minival_ids | 25096
251824
35313
546011
524186
205866
511403
313916
47471
258628
233560
576017
404517
410056
178690
248980
511724
429718
163076
244111
126766
313182
191981
139992
325237
248129
214519
175438
493321
174103
563762
536795
289960
473720
515540
292118
360851
267175
532876
171613
581415
259819
441841
381682
58157
4980
4739... |
TensorFlow2/Segmentation/MaskRCNN/scripts | scripts | benchmark_inference | # 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/Recommendation/DLRM_and_DCNv2/deployment/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... |
TensorFlow2/Detection/Efficientdet/dataset | dataset | README | This folder provides tools for converting raw coco/pascal data to tfrecord.
Download and pre-process COCO 2017 training and validation datasets for training efficientdet:
```bash
bash dataset/get_coco.sh
```
|
PyTorch/LanguageModeling/BERT/triton/runner/maintainer | maintainer | container | # 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/Detection/Efficientdet/model | model | postprocess | # 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... |
PyTorch/Detection/Efficientdet/scripts/waymo | waymo | train_waymo_AMP_8xA100-80G | #!/bin/bash
function get_dataloader_workers {
gpus=$(nvidia-smi -i 0 --query-gpu=count --format=csv,noheader)
core=$(nproc --all)
workers=$((core/gpus-2))
workers=$((workers>16?16:workers))
echo ${workers}
}
WORKERS=$(get_dataloader_workers)
./distributed_train.sh 8 /workspace/object_detection/dat... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/dataset | dataset | traffic | # 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/plugins/taco2PrenetPlugin | taco2PrenetPlugin | taco2PrenetKernel | /*
* 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/PyTorch/TimeSeriesPredictionPlatform/evaluators | evaluators | triton_evaluator | # 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 ... |
TensorFlow2/LanguageModeling/BERT/official/modeling/activations | activations | swish | # 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton/deployment_toolkit | deployment_toolkit | core | # 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/core | core | box_predictor | # 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 | TimeSeriesPredictionPlatform | launch_inference | # 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... |
TensorFlow/Detection/SSD/models/research/object_detection/models | models | faster_rcnn_mobilenet_v1_feature_extractor_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/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/modeling | modeling | matcher | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
import torch
from maskrcnn_benchmark import _C
class Matcher(object):
"""
This class assigns to each predicted "element" (e.g., a box) a ground-truth
element. Each predicte... |
PyTorch/SpeechSynthesis/HiFiGAN/scripts | scripts | fine_tune | #!/usr/bin/env bash
set -a
: ${FINE_TUNE_DIR:="data/mels-fastpitch-ljs22khz"}
: ${FINE_TUNE_LR_FACTOR:=3}
: ${EPOCHS:=10000} # 6500 + 3500
if [ ! -d "$FINE_TUNE_DIR" ]; then
echo "Finetuning spectrograms missing at $FINE_TUNE_DIR ."
echo "Those need to be generated with scripts/extract_fine_tune_mels.sh"
... |
TensorFlow2/Recommendation/WideAndDeep/triton/deployment_toolkit/triton_inference_runner | triton_inference_runner | __init__ | # 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/builders | builders | image_resizer_builder | # 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/GPUNet/triton/05ms-D/runner | runner | config_NVIDIA-DGX-1-(1x-V100-32GB) | batching: dynamic
checkpoints:
- name: 0.5ms-D
url: https://api.ngc.nvidia.com/v2/models/nvidia/dle/gpunet_p0_pyt_ckpt/versions/21.12.0_amp/zip
configurations:
- checkpoint: 0.5ms-D
parameters:
backend_accelerator: trt
checkpoint: 0.5ms-D
device_kind: gpu
export_format: onnx
export_precision: fp... |
PyTorch/Detection/Efficientdet/effdet/csrc/focal_loss | focal_loss | focal_loss_cuda | // 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 ... |
PyTorch/Segmentation/nnUNet/nnunet | nnunet | metrics | # 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/Recommendation/SIM/sim/utils | utils | benchmark | # 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 appli... |
PyTorch/Segmentation/nnUNet/scripts | scripts | inference | # 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/Detection/SSD/examples | examples | SSD300_A100_FP16_8GPU | # This script launches SSD300 training in FP16 on 8 GPUs using 1024 batch size (128 per GPU)
# Usage ./SSD300_FP16_8GPU.sh <path to this repository> <path to dataset> <additional flags>
torchrun --nproc_per_node=8 $1/main.py --backbone resnet50 --learning-rate 2.7e-3 --warmup 1200 --bs 128 --data $2 ${@:3}
|
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/layers | layers | _utils | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import glob
import os.path
import torch
try:
from torch.utils.cpp_extension import load as load_ext
from torch.utils.cpp_extension import CUDA_HOME
except ImportError:
raise ImportError("The cpp layer extensions requires PyTorch 0.4 o... |
TensorFlow2/LanguageModeling/BERT/official/utils/flags | flags | _conventions | # 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/SpeechSynthesis/Tacotron2/notebooks | notebooks | README | # Tacotron2 and WaveGlow
A jupyter notobook based on Quick Start Guide of: https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2
## Requirements
Ensure you have the following components:
NVIDIA Docker (https://github.com/NVIDIA/nvidia-docker) PyTorch 19.06-py3+ NGC container o... |
PyTorch/Recommendation/DLRM/dlrm/nn | nn | factories | # 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 appli... |
PyTorch/SpeechSynthesis/Tacotron2/phrases | phrases | phrase_1_128 | The forms of printed letters should be beautiful, and that their arrangement on the page should be reasonable and a help to the
|
PyTorch/SpeechRecognition/QuartzNet/configs | configs | quartznet15x5_speedp-online-1.15_speca | # 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/datasets | datasets | imagenet_lsvrc_2015_synsets | n01440764
n01443537
n01484850
n01491361
n01494475
n01496331
n01498041
n01514668
n01514859
n01518878
n01530575
n01531178
n01532829
n01534433
n01537544
n01558993
n01560419
n01580077
n01582220
n01592084
n01601694
n01608432
n01614925
n01616318
n01622779
n01629819
n01630670
n01631663
n01632458
n01632777
n01641577
n01644373
... |
PyTorch/LanguageModeling | LanguageModeling | README | # Language Modeling
Language modeling (LM) is a natural language processing (NLP) task that determines the probability of a given sequence of words occurring in a sentence.
In an era where computers, smartphones and other electronic devices increasingly need to interact with humans, language modeling has become an i... |
Kaldi/SpeechRecognition/scripts | scripts | compute_wer | #!/bin/bash
model_path="/data/models/LibriSpeech"
librispeech_path="/data/datasets/LibriSpeech/test_clean"
result_path="/data/results"
# Correctness
cat $model_path/words.txt | tr '[:upper:]' '[:lower:]' > $result_path/words.txt
cat $librispeech_path/$test_set/text | tr '[:upper:]' '[:lower:]' > $result_path/text
oo... |
PyTorch/SpeechSynthesis/HiFiGAN | HiFiGAN | 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... |
PyTorch/LanguageModeling/BERT/triton/dist4l/runner | runner | config_NVIDIA-DGX-1-(1x-V100-32GB) | checkpoints:
- name: dist-4l-qa
url: https://api.ngc.nvidia.com/v2/models/nvidia/dle/bert_pyt_ckpt_distilled_4l_288d_qa_squad11_amp/versions/21.11.0/zip
configurations:
- accelerator: none
accelerator_precision: fp16
batch_size:
- 1
batch_sizes: '1'
capture_cuda_graph: 0
checkpoint_variant: dist-4l-qa
e... |
PyTorch/Classification/ConvNets/resnet50v1.5/training/AMP | AMP | DGXA100_resnet50_AMP_90E | python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
|
TensorFlow/Detection/SSD/models/research/object_detection/matchers | matchers | argmax_matcher_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... |
PyTorch/Classification/ConvNets/se-resnext101-32x4d/training/AMP | AMP | DGXA100_se-resnext101-32x4d_AMP_250E | python ./multiproc.py --nproc_per_node 8 ./launch.py --model se-resnext101-32x4d --precision AMP --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json
|
PyTorch/LanguageModeling/BERT/triton | triton | prepare_input_data | #!/usr/bin/env 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
#
# U... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/utils | utils | metric_logger | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from collections import defaultdict
from collections import deque
import torch
class SmoothedValue(object):
"""Track a series of values and provide access to smoothed values over a
window or the global series average.
"""
def __... |
TensorFlow2/Classification/ConvNets/config/efficientnet_v1 | efficientnet_v1 | b0_cfg | import tensorflow as tf
from config.defaults import Config
# NOTE: this confile file can further be overridden by user-defined params provided at the command line
config = dict(
path_to_impl='model.efficientnet_model_v1',
#data-related model params
num_classes=1000, # must be the... |
TensorFlow/LanguageModeling/BERT/biobert/scripts | scripts | biobert_finetune_train_benchmark | #!/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... |
TensorFlow/Segmentation/VNet | VNet | main | # 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... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/configuration | configuration | __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... |
PyTorch/SpeechRecognition/Jasper/configs | configs | jasper10x5dr_speedp-offline | # 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/Segmentation/UNet_Medical | UNet_Medical | .gitignore | .idea/
.ipynb_checkpoints
/_python_build
*.pyc
__pycache__
*.swp
/results
*.zip
|
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/scripts/import_utils | import_utils | __init__ | #!/usr/bin/env python3
##
# 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
# ... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/dataloading | dataloading | split_tfrecords_multihot_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... |
PyTorch/SpeechRecognition/wav2vec2/utils | utils | convert_librispeech | #!/usr/bin/env python3
# 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
#
# U... |
PyTorch/Classification/GPUNet/triton/deployment_toolkit/triton_inference_runner | triton_inference_runner | runner | # 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/BERT/triton/runner | runner | triton | # 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/FastPitch/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... |
TensorFlow/Detection/SSD/models/research/object_detection/models | models | ssd_resnet_v1_fpn_feature_extractor | # 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/conf/inference | inference | native | # 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/Recommendation/DLRM/dlrm/cuda_src | cuda_src | gather_gpu_fused | #include <iostream>
#include <cuda_runtime_api.h>
#include <c10/cuda/CUDAStream.h>
#include <ATen/cuda/CUDAContext.h>
#define CHK_CUDA(expression) \
{ ... |
TensorFlow/Translation/GNMT/qa | qa | L1_joc_GNMT_inferbench_fp16 | set -o nounset
set -o errexit
set -o pipefail
cd ..
cp -r /data/joc/gnmt_tf/19.08 output_dir
# hack to work with pytorch dataset
sed -ie 's/ src_vocab_file = hparams.vocab_prefix + "." + hparams.src/ src_vocab_file = hparams.vocab_prefix/g' nmt.py
sed -ie 's/ tgt_vocab_file = hparams.vocab_prefix + "." + hpa... |
PyTorch/Detection | Detection | README | # Object Detection
A natural progression from image classification would be classification and localization of the subject of the image. We can take this idea one step further and localize objects in a given image. Simply put, object detection refers to identifying which object(s) are there in an image.
 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/Tacotron2/filelists | filelists | ljs_mel_text_val_filelist | LJSpeech-1.1/mels/LJ022-0023.pt|The overwhelming majority of people in this country know how to sift the wheat from the chaff in what they hear and what they read.
LJSpeech-1.1/mels/LJ043-0030.pt|If somebody did that to me, a lousy trick like that, to take my wife away, and all the furniture, I would be mad as hell, to... |
PyTorch/Classification/ConvNets/scripts | scripts | rnxt_partial | FLAGS=$1
STAGE_ID=$2
STAGE_LEN=$3
python ./multiproc.py \
--nproc_per_node 8 \
./main.py /imagenet \
-j5 -p 100 \
--data-backend pytorch \
--raport-file report_$STAGE_ID.json \
--lr 1.024 \
--batch-size 128 \
--optimizer-batch-si... |
PyTorch/SpeechSynthesis/HiFiGAN/scripts | scripts | train_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
: ${RESUME:=false}
: ${AMP:=false}
: ${BATCH_SIZE:=16}
: ${NUM_GPUS:=8} # 1 4 8
: ${OUTPUT_DIR:="./results/perf-train"}
: ${EPOCHS:=1000000} # Prevents from saving a final checkpoint
:... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/configuration | configuration | utils | # 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/Detection/SSD/models/research/object_detection/dataset_tools | dataset_tools | create_pet_tf_record | # 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/models/tft_pyt/triton/deployment_toolkit/bermuda | bermuda | onnx | # 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/GPUNet/triton/runner | runner | preparer | # 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/Efficientdet/effdet/layers | layers | create_conv2d | """ Create Conv2d Factory Method
Hacked together by / Copyright 2020 Ross Wightman
"""
# 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 Lice... |
TensorFlow/Translation/GNMT | GNMT | .gitignore | __pycache__
*.log
/results
/data
.DS_Store
|
PyTorch/SpeechSynthesis/Tacotron2/notebooks/triton | triton | tacotron2_ts-script_config | name: "tacotron2-ts-script"
platform: "pytorch_libtorch"
max_batch_size: 1
input [
{
name: "input__0"
data_type: TYPE_INT64
dims: [-1]
},
{
name: "input__1"
data_type: TYPE_INT64
dims: [1]
reshape: { shape: [ ] }
}
]
output [
{
name: "output__0"
data_type: TYPE_FP16
dims: [80, -1... |
PyTorch/Classification/ConvNets/triton/deployment_toolkit | deployment_toolkit | core | # 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/Segmentation/MaskRCNN/pytorch/configs/caffe2 | caffe2 | e2e_faster_rcnn_X_101_32x8d_FPN_1x_caffe2 | MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://Caffe2Detectron/COCO/36761737/e2e_faster_rcnn_X-101-32x8d-FPN_1x"
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
... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/denoiser | denoiser | denoiserStreamingInstance | /*
* 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/scripts/docker | docker | launch | #!/bin/bash
PATH_TO_COCO=$1
MOUNT_LOCATION='/datasets/data'
NAME='detectron2_interactive'
docker run --runtime=nvidia --cap-add=SYS_PTRACE --cap-add SYS_ADMIN --cap-add DAC_READ_SEARCH --security-opt seccomp=unconfined -v /efficientdet-pytorch:/workspace/object_detection -v /effdet/backbone_checkpoints:/backbone_che... |
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