relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
PyTorch/Classification/GPUNet/triton/deployment_toolkit/triton_inference_runner | triton_inference_runner | base | # 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/Classification/ConvNets/utils | utils | optimizers | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ==============================================================================
# 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 Lice... |
PyTorch/SpeechSynthesis/HiFiGAN/scripts/docker | docker | interactive | #!/usr/bin/env bash
docker run --gpus=all -it --rm -e CUDA_VISIBLE_DEVICES --ipc=host -v $PWD:/workspace/hifigan/ hifigan:latest bash
|
PyTorch/SpeechSynthesis/FastPitch/filelists | filelists | ljs_audio_pitch_text_train_v3 | wavs/LJ050-0234.wav|pitch/LJ050-0234.pt|It has used other Treasury law enforcement agents on special experiments in building and route surveys in places to which the President frequently travels.
wavs/LJ019-0373.wav|pitch/LJ019-0373.pt|to avail himself of his powers, as it was difficult to bring home the derelictions o... |
PyTorch/SpeechRecognition/wav2vec2/scripts | scripts | finetune_base_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/distributed_launcher/hydra_plugins | hydra_plugins | 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 ... |
PyTorch/SpeechSynthesis/FastPitch/phrases | phrases | phrase | The forms of printed letters should be beautiful, and that their arrangement on the page should be reasonable and a help to the shapeliness of the letters themselves.
|
TensorFlow/Classification/ConvNets/triton | triton | process_dataset | #!/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/data/datasets/evaluation | evaluation | __init__ | from maskrcnn_benchmark.data import datasets
from .coco import coco_evaluation
from .voc import voc_evaluation
def evaluate(dataset, predictions, output_folder, **kwargs):
"""evaluate dataset using different methods based on dataset type.
Args:
dataset: Dataset object
predictions(list[BoxList... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton | triton | xgboost_triton | import os
import numpy
import dllogger
import tritonclient.http as triton_http
import tritonclient.grpc as triton_grpc
import numpy as np
import xgboost as xgb
import hydra
import subprocess
from loggers.log_helper import setup_logger
def generate_config(
model_name,
*,
features=31,
pred... |
TensorFlow/Segmentation/UNet_Industrial/scripts/benchmarking | benchmarking | UNet_trainbench_8GPU | #!/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... |
TensorFlow/Detection/SSD/models/research/slim/nets | nets | cyclegan | # 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/Translation/GNMT/seq2seq/train | train | smoothing | # 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 limitation the rights
# to use, co... |
PyTorch/SpeechSynthesis/Tacotron2/filelists | filelists | ljs_mel_text_filelist | LJSpeech-1.1/mels/LJ001-0001.pt|Printing, in the only sense with which we are at present concerned, differs from most if not from all the arts and crafts represented in the Exhibition
LJSpeech-1.1/mels/LJ001-0002.pt|in being comparatively modern.
LJSpeech-1.1/mels/LJ001-0003.pt|For although the Chinese took impressions... |
TensorFlow2/LanguageModeling/ELECTRA/data | data | create_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... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/analyzer/graph | graph | __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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner | runner | config_NVIDIA-DGX-1-(1x-V100-32GB) | 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/SpeechRecognition/Jasper/configs | configs | jasper10x5dr_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... |
PyTorch/Classification/ConvNets/efficientnet/inference/AMP | AMP | DGXA100_efficientnet-widese-b0_AMP |
python ./multiproc.py --nproc_per_node 8 ./launch.py --model efficientnet-widese-b0 --precision AMP --mode benchmark_inference --platform DGXA100 /imagenet -b 1 --workspace ${1:-./} --raport-file raport_1.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model efficientnet-widese-b0 --precision AMP --mode be... |
TensorFlow/LanguageModeling/BERT | BERT | sample_text | This text is included to make sure Unicode is handled properly: 力加勝北区ᴵᴺᵀᵃছজটডণত
Text should be one-sentence-per-line, with empty lines between documents.
This sample text is public domain and was randomly selected from Project Guttenberg.
The rain had only ceased with the gray streaks of morning at Blazing Star, and t... |
TensorFlow2/Recommendation/WideAndDeep/triton/deployment_toolkit | deployment_toolkit | dump | # 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/distillation/utils | utils | perform_distillation_prereqs | # 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/Translation/Transformer/scripts | scripts | run_DGX1_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... |
PyTorch/SpeechSynthesis/FastPitch/scripts/mandarin_chinese | mandarin_chinese | requirements | pypinyin==0.47.1
|
PyTorch/SpeechRecognition/wav2vec2/common/fairseq | fairseq | file_chunker_utils | # 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... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/benchmark/tasks | tasks | ec | # 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/meta_architectures | meta_architectures | rfcn_meta_arch | # 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/LanguageModeling/BERT/data | data | PubMedTextFormatting | # 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... |
TensorFlow2/Recommendation/WideAndDeep/triton/scripts/docker | docker | triton_inference_server | #!/usr/bin/env bash
# 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/Recommendation/DLRM/dlrm/data | data | data_loader | # 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... |
TensorFlow2/LanguageModeling/BERT/official/utils/logs | logs | hooks_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/LanguageModeling/BERT/triton/runner | runner | finalizer | # 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/HiFiGAN/platform | platform | DGX1_HiFi-GAN_FP32_4GPU | #!/bin/bash
set -a
: ${NUM_GPUS:=4}
: ${BATCH_SIZE:=32}
: ${GRAD_ACCUMULATION:=1}
: ${AMP:=false}
bash scripts/train_lj22khz.sh "$@"
|
PyTorch/Detection/Efficientdet/scripts/D0 | D0 | inference_AMP_A100-80G | #!/bin/bash
rm -rf *.json
python -u -m bind_launch --nproc_per_node=${NUM_PROC:-1} validate.py '/workspace/object_detection/datasets/coco/' --model efficientdet_d0 -b ${BATCH_SIZE:-8} --torchscript --use-ema --amp --checkpoint ${CKPT_PATH:-/checkpoints/Effdet_B0.pth} --inference |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | cudaMemory | /*
* 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... |
TensorFlow2/Detection/Efficientdet/model | model | inference | # 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/Segmentation/Contrib/UNet3P/models | models | unet3plus_utils | """
Utility functions for Unet3+ models
"""
import tensorflow as tf
import tensorflow.keras as k
def conv_block(x, kernels, kernel_size=(3, 3), strides=(1, 1), padding='same',
is_bn=True, is_relu=True, n=2):
""" Custom function for conv2d:
Apply 3*3 convolutions with BN and relu.
"""
... |
DGLPyTorch/DrugDiscovery/SE3Transformer | SE3Transformer | setup | from setuptools import setup, find_packages
setup(
name='se3-transformer',
packages=find_packages(exclude=['tests']),
include_package_data=True,
version='1.2.0',
description='PyTorch + DGL implementation of SE(3)-Transformers',
author='Alexandre Milesi',
author_email='alexandrem@nvidia.com'... |
PyTorch/Segmentation/nnUNet/nnunet | nnunet | loss | # 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... |
MxNet/Classification/RN50v1.5 | RN50v1.5 | dali | # 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/LanguageModeling/BERT | BERT | run_pretraining | # coding=utf-8
# Copyright (c) 2019-2021 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 co... |
TensorFlow/Detection/SSD/models/research/object_detection/predictors/heads | heads | mask_head | # 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/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/csrc | csrc | generate_mask_targets | /**
* 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 require... |
PyTorch/Detection/Efficientdet | Efficientdet | bind_launch | # 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/common/fairseq | fairseq | file_io | #!/usr/bin/env python3
# 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... |
PyTorch/Classification/ConvNets/triton | triton | calculate_metrics | #!/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/SpeechSynthesis/FastPitch/triton/deployment_toolkit/bermuda | bermuda | __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... |
TensorFlow2/Segmentation/UNet_Medical/examples | examples | unet_INFER_BENCHMARK | # 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/QuartzNet/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 ... |
TensorFlow/Segmentation/UNet_Industrial/model/layers | layers | math_ops | #!/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 L... |
PyTorch/SpeechSynthesis/Tacotron2/notebooks/conversationalai/model_repo/jasper-trt | jasper-trt | 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 of source code must retain the above copyright
# notice, this list of conditions a... |
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | ssd_inception_v2_pets | # SSD 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
# should be con... |
PyTorch/Classification/ConvNets/efficientnet/training/AMP | AMP | DGXA100_efficientnet-widese-b0_AMP | python ./multiproc.py --nproc_per_node 8 ./launch.py --model efficientnet-widese-b0 --precision AMP --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json
|
PyTorch/SpeechSynthesis/FastPitch/platform | platform | DGX1_FastPitch_AMP_1GPU | #!/bin/bash
set -a
: ${NUM_GPUS:=1}
: ${BATCH_SIZE:=16}
: ${GRAD_ACCUMULATION:=16}
: ${AMP:=true}
bash scripts/train.sh "$@"
|
PyTorch/SpeechSynthesis/Tacotron2/exports | exports | export_waveglow_onnx | # *****************************************************************************
# 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt | tft_pyt | ema | """
Exponential Moving Average (EMA) of model updates
"""
from collections import OrderedDict
from copy import deepcopy
import torch
import torch.nn as nn
class ModelEma(nn.Module):
""" Model Exponential Moving Average V2
Keep a moving average of everything in the model state_dict (parameters and buffers).... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton/deployment_toolkit | deployment_toolkit | args | # 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... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/utils | utils | io_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... |
PyTorch/Classification/GPUNet/triton/runner | runner | 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... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | np_box_mask_list | # 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/UNet_Medical/examples | examples | unet_TRAIN_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... |
TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/runtime | runtime | weights_mapping | """ Custom mapping that maps model backbone to weights from NVIDIA ResNet50 v1.5 checkpoint. """
# pylint: disable=line-too-long
WEIGHTS_MAPPING = {
'mrcnn/resnet50/bottleneck_group/bottleneck_block/conv2d_block_1/batch_normalization_2/beta': 'resnet50/btlnck_block_0_0/bottleneck_1/BatchNorm/beta',
'mrcnn/resn... |
PaddlePaddle/LanguageModeling/BERT/data | data | BookscorpusTextFormatting | # 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/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/config | config | paths_catalog | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Centralized catalog of paths."""
import os
class DatasetCatalog(object):
DATA_DIR = "/datasets"
DATASETS = {
"coco_2017_train": {
"img_dir": "data/train2017",
"ann_file": "data/annotations/instances_tra... |
PyTorch/SpeechRecognition/wav2vec2/common/fairseq/data | data | __init__ | # 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... |
PyTorch/Classification/ConvNets/triton/scripts | scripts | benchmark | #!/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... |
PyTorch/LanguageModeling/BERT | BERT | run_swag | # coding=utf-8
# Copyright (c) 2019-2021 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 cop... |
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | faster_rcnn_resnet101_atrous_coco | # Faster R-CNN with Resnet-101 (v1), Atrous version
# Trained on COCO, initialized from Imagenet classification checkpoint
# 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... |
PyTorch/SpeechSynthesis/FastPitch/waveglow | waveglow | 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... |
TensorFlow2/Detection/Efficientdet/scripts/D0 | D0 | training-benchmark-FP32-V100-32G | #!/bin/bash
# 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 requir... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/plugins/taco2LSTMCellPlugin | taco2LSTMCellPlugin | taco2LSTMCellLayerPlugin | /*
* 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... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/deployment/deployment_toolkit | deployment_toolkit | dump | # 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... |
Kaldi/SpeechRecognition | SpeechRecognition | .gitignore | data/*
!data/README.md
.*.swp
.*.swo
.clang-format
|
PyTorch/LanguageModeling/BERT/triton/runner | runner | downloader | # 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/trt | trt | README | # FastSpeech Inference with TensorRT
This directory contains scripts and usage for accelerated FastSpeech inference with TensorRT. Refer to the [README](../../README.md) for more common and detailed information.
# Parameters
All parameters for TensorRT inference are defined in the default config file, trt.yaml.
```yam... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/engine | engine | trainer | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
import datetime
import logging
import time
import torch
import torch.distributed as dist
from maskrcnn_benchmark.utils.comm import get_world_size, synchronized_timestamp
from maskrcnn... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/utils/types | types | column_type | # 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... |
CUDA-Optimized/FastSpeech/fastspeech/utils | utils | time | # 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/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... |
TensorFlow2/LanguageModeling/BERT/official/modeling/activations | activations | swish_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... |
TensorFlow2/Segmentation/nnUNet/models | models | sliding_window | import itertools
import numpy as np
import tensorflow as tf
from scipy import signal
def get_window_slices(image_size, roi_size, overlap, strategy):
dim_starts = []
for image_x, roi_x in zip(image_size, roi_size):
interval = roi_x if roi_x == image_x else int(roi_x * (1 - overlap))
starts = l... |
PyTorch/Classification/ConvNets/triton | triton | process_dataset | #!/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/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | dataShuffler | /*
* 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/SpeechRecognition/wav2vec2/scripts | scripts | inference_benchmark | #!/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... |
TensorFlow/Segmentation/UNet_Industrial | UNet_Industrial | preprocess_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... |
TensorFlow2/Recommendation/WideAndDeep/trainer/utils | utils | trainer | # 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/Translation/GNMT | GNMT | beam_search_decoder | # 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/deployment | deployment | deploy | # 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 ... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/benchmark/models | models | gat_ec | # 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/common/fairseq/modules | modules | gumbel_vector_quantizer | # 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/Segmentation/nnUNet/runtime | runtime | losses | # 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/Segmentation/MaskRCNN/pytorch | pytorch | MODEL_ZOO | ## Model Zoo and Baselines
### Hardware
- 8 NVIDIA V100 GPUs
### Software
- PyTorch version: 1.0.0a0+dd2c487
- CUDA 9.2
- CUDNN 7.1
- NCCL 2.2.13-1
### End-to-end Faster and Mask R-CNN baselines
All the baselines were trained using the exact same experimental setup as in Detectron.
We initialize the detection model... |
TensorFlow/Detection/SSD/models/research/object_detection/anchor_generators | anchor_generators | multiple_grid_anchor_generator | # 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/085ms/runner | runner | start_NVIDIA-DGX-1-(1x-V100-32GB) | # 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/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/LanguageModeling/ELECTRA/scripts | scripts | bind | #! /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 require... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton/deployment_toolkit/bermuda | bermuda | pyt | # 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/Tacotron2/trtis_cpp/src/trt/denoiser | denoiser | denoiserBuilder | /*
* 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/builders | builders | dataset_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/Detection/SSD/models/research/object_detection/predictors/heads | heads | keras_box_head_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... |
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