relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/plugins/taco2ProjectionPlugin | taco2ProjectionPlugin | taco2ProjectionLayerPlugin | /*
* 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/Classification/ConvNets/dataprep | dataprep | build_imagenet_data | #!/usr/bin/python
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
TensorFlow/Translation/GNMT | GNMT | gnmt_model | # 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... |
TensorFlow/Segmentation/UNet_Medical/utils/hooks | hooks | training_hook | # 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... |
TensorFlow2/LanguageModeling/BERT/scripts | scripts | run_inference_benchmark | #!/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/DrugDiscovery/SE3Transformer | SE3Transformer | README | # [SE(3)-Transformers For PyTorch [migrated, click here]](https://github.com/NVIDIA/DeepLearningExamples/blob/master/DGLPyTorch/DrugDiscovery/SE3Transformer)
|
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | per_image_evaluation_test | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | metrics | # 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/scripts | scripts | preproc | #!/bin/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
#
# Unless ... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | dataset_util_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/Transformer-XL/pytorch/scripts/docker | docker | build | #!/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... |
TensorFlow/Segmentation/UNet_3D_Medical/scripts | scripts | unet3d_train_full | # 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/SpeechSynthesis/HiFiGAN | HiFiGAN | 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... |
PaddlePaddle/LanguageModeling/BERT/scripts/docker | docker | launch | #!/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 requi... |
PyTorch/SpeechSynthesis/FastPitch/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... |
PyTorch/SpeechSynthesis/HiFiGAN/common | common | stft | """
BSD 3-Clause License
Copyright (c) 2017, Prem Seetharaman
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... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/preprocessing/datasets | datasets | ogbn_mag | # 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/tacotron2 | tacotron2 | layers | # BSD 3-Clause License
# Copyright (c) 2018-2020, 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, thi... |
TensorFlow/Recommendation/WideAndDeep/utils | utils | schedulers | # 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/LanguageModeling/BERT/triton/deployment_toolkit/bermuda | bermuda | pyt | # 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/scripts/docker | docker | interactive | #!/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... |
TensorFlow/Detection/SSD/models/research/object_detection/meta_architectures | meta_architectures | faster_rcnn_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/Classification/ConvNets/model/layers | layers | squeeze_excitation_layer | #!/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 License.
# You may obtain a copy of the License at
#
# http://www.apache.org/lice... |
PyTorch/Classification/ConvNets/efficientnet/training/FP32 | FP32 | DGX1V-16G_efficientnet-b0_FP32 | python ./multiproc.py --nproc_per_node 8 ./launch.py --model efficientnet-b0 --precision FP32 --mode convergence --platform DGX1V-16G /imagenet --workspace ${1:-./} --raport-file raport.json
|
PyTorch/SpeechSynthesis/FastPitch/hifigan | hifigan | arg_parser | # 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... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/tensorflow-dot-based-interact/tensorflow_dot_based_interact/cc/kernels/launchers | launchers | dot_based_interact_fp16_launcher | // 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 ... |
PaddlePaddle/Classification/RN50v1.5 | RN50v1.5 | program | # 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/utils | utils | README | # Utility functions
This folder contain utility functions that are not used in the
core library, but are useful for building models or training
code using the config system.
|
PyTorch/Segmentation/MaskRCNN/pytorch/configs/gn_baselines | gn_baselines | scratch_e2e_mask_rcnn_R_50_FPN_3x_gn | INPUT:
MIN_SIZE_TRAIN: 800
MAX_SIZE_TRAIN: 1333
MIN_SIZE_TEST: 800
MAX_SIZE_TEST: 1333
MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "" # no pretrained model
BACKBONE:
CONV_BODY: "R-50-FPN"
OUT_CHANNELS: 256
FREEZE_CONV_BODY_AT: 0 # finetune all layers
RESNETS: # use GN for backbone
... |
TensorFlow/Detection/SSD/models/research/object_detection/configs | configs | mask_rcnn_resnet50_atrous_coco_8GPU | # Mask R-CNN with Resnet-50 (v1), Atrous version
# Configured for MSCOCO 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 tha... |
PyTorch/Translation/GNMT/seq2seq/train | train | table | # 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/platform | platform | DGX1_tacotron2_AMP_8NGPU_train | mkdir -p output
python -m multiproc train.py -m Tacotron2 -o output/ --amp -lr 1e-3 --epochs 1501 -bs 104 --weight-decay 1e-6 --grad-clip-thresh 1.0 --cudnn-enabled --load-mel-from-disk --training-files=filelists/ljs_mel_text_train_filelist.txt --validation-files=filelists/ljs_mel_text_val_filelist.txt --log-file nvlog... |
TensorFlow2/LanguageModeling/BERT/official/utils/misc | misc | callstack_sampler | """A simple Python callstack sampler."""
import contextlib
import datetime
import signal
import traceback
class CallstackSampler(object):
"""A simple signal-based Python callstack sampler.
"""
def __init__(self, interval=None):
self.stacks = []
self.interval = 0.001 if interval is None else interval
... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | 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... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/configuration | configuration | configuration | # 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... |
PaddlePaddle/LanguageModeling/BERT/vocab | vocab | bert-large-cased-vocab | [PAD]
[unused1]
[unused2]
[unused3]
[unused4]
[unused5]
[unused6]
[unused7]
[unused8]
[unused9]
[unused10]
[unused11]
[unused12]
[unused13]
[unused14]
[unused15]
[unused16]
[unused17]
[unused18]
[unused19]
[unused20]
[unused21]
[unused22]
[unused23]
[unused24]
[unused25]
[unused26]
[unused27]
[unused28]
[unused29]
[unu... |
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | faster_rcnn_inception_v2_coco | # Faster R-CNN with Inception v2, configuration for MSCOCO 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 ... |
TensorFlow/Detection/SSD/models/research/object_detection/dataset_tools | dataset_tools | oid_hierarchical_labels_expansion | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow2/LanguageModeling/BERT/official/nlp/modeling/layers | layers | transformer_scaffold_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... |
TensorFlow/Detection/SSD/models/research/object_detection/dataset_tools | dataset_tools | create_pascal_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... |
PyTorch/SpeechRecognition/QuartzNet/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... |
PyTorch/LanguageModeling/BERT/data | data | WikiDownloader | # Copyright (c) 2019-2021 NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... |
TensorFlow/Segmentation/UNet_Industrial/scripts/benchmarking | benchmarking | UNet_evalbench | #!/usr/bin/env bash
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... |
PyTorch/Detection/SSD/examples | examples | SSD300_A100_FP16_1GPU | # This script launches SSD300 training in FP16 on 1 GPUs using 256 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 256 --data $2 ${@:3}
|
TensorFlow/Detection/SSD/models/research/object_detection/builders | builders | box_coder_builder | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/SpeechSynthesis/Tacotron2/notebooks/conversationalai/client/speech_ai_demo/utils/tacotron2 | tacotron2 | cleaners | """ from https://github.com/keithito/tacotron """
'''
Cleaners are transformations that run over the input text at both training and eval time.
Cleaners can be selected by passing a comma-delimited list of cleaner names as the "cleaners"
hyperparameter. Some cleaners are English-specific. You'll typically want to use... |
PyTorch/Segmentation/MaskRCNN/pytorch | pytorch | CODE_OF_CONDUCT | # Code of Conduct
Facebook has adopted a Code of Conduct that we expect project participants to adhere to.
Please read the [full text](https://code.fb.com/codeofconduct/)
so that you can understand what actions will and will not be tolerated.
|
PyTorch/Detection/Efficientdet | Efficientdet | .gitignore | # Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
#... |
PyTorch/SpeechRecognition/wav2vec2 | wav2vec2 | requirements | editdistance==0.6.0
librosa==0.10.1
omegaconf==2.0.6 # optional for handling certain Fairseq ckpts
pyarrow==6.0.1
soundfile==0.12.1
sox==1.4.1
tqdm==4.53.0
git+https://github.com/NVIDIA/dllogger@v1.0.0#egg=dllogger
|
TensorFlow/Detection/SSD/models/research/object_detection/anchor_generators | anchor_generators | multiscale_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... |
TensorFlow/Detection/SSD/models/research/object_detection/models | models | faster_rcnn_nas_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... |
DGLPyTorch/DrugDiscovery/SE3Transformer/se3_transformer/model | model | fiber | # 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... |
Tools/DGLPyTorch/SyntheticGraphGeneration/demos/performance | performance | struct_generator | #!/usr/bin/env python
# coding: utf-8
# Copyright 2023 NVIDIA Corporation. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... |
CUDA-Optimized/FastSpeech/fastspeech/trt/plugins/add_pos_enc | add_pos_enc | test_add_pos_enc_plugin | # 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... |
TensorFlow2/Recommendation/WideAndDeep/triton/runner | runner | stages | # 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/FastPitch/common/text | text | numerical | """ adapted from https://github.com/keithito/tacotron """
import inflect
import re
_magnitudes = ['trillion', 'billion', 'million', 'thousand', 'hundred', 'm', 'b', 't']
_magnitudes_key = {'m': 'million', 'b': 'billion', 't': 'trillion'}
_measurements = '(f|c|k|d|m)'
_measurements_key = {'f': 'fahrenheit',
... |
PyTorch/Segmentation/nnUNet/triton | triton | preprocess | # 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/samples/configs | configs | ssd_mobilenet_v2_quantized_300x300_coco | # Quantized trained SSD with Mobilenet v2 on MSCOCO 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 configu... |
TensorFlow2/Segmentation/Contrib/UNet3P/models | models | model | """
Returns Unet3+ model
"""
import tensorflow as tf
from omegaconf import DictConfig
from .backbones import vgg16_backbone, vgg19_backbone, unet3plus_backbone
from .unet3plus import unet3plus
from .unet3plus_deep_supervision import unet3plus_deepsup
from .unet3plus_deep_supervision_cgm import unet3plus_deepsup_cgm
... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | np_box_list_ops_test | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/preproc | preproc | prepare_dataset | #! /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 req... |
TensorFlow/LanguageModeling/BERT/scripts | scripts | run_pretraining_adam | #! /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 require... |
TensorFlow2/Segmentation/Contrib/UNet3P/data_preparation | data_preparation | verify_data | """
Verify for each image corresponding mask exist or not.
Check against both train and val data
"""
import os
import sys
from omegaconf import DictConfig
from tqdm import tqdm
sys.path.append(os.path.abspath("./"))
from utils.general_utils import join_paths
from utils.images_utils import image_to_mask_name
def chec... |
TensorFlow2/Classification/ConvNets/config/efficientnet_v1 | efficientnet_v1 | b4_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... |
PyTorch/Classification/GPUNet/triton/085ms/runner | runner | config_NVIDIA-DGX-1-(1x-V100-32GB) | batching: dynamic
checkpoints:
- name: 0.85ms
url: https://api.ngc.nvidia.com/v2/models/nvidia/dle/gpunet_1_pyt_ckpt/versions/21.12.0_amp/zip
configurations:
- checkpoint: 0.85ms
parameters:
backend_accelerator: trt
checkpoint: 0.85ms
device_kind: gpu
export_format: onnx
export_precision: fp16
... |
TensorFlow/Detection/SSD/models/research/object_detection/builders | builders | input_reader_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/SpeechRecognition/QuartzNet/common/dali | dali | iterator | # 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/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | dims1 | /*
* 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 | BERT | fused_layer_norm | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
# 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
#
# ht... |
TensorFlow/Segmentation/UNet_Industrial | UNet_Industrial | export_saved_model | # !/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/SpeechRecognition/wav2vec2/common | common | fairseq_fake_modules | # 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/DGLPyTorch/SyntheticGraphGeneration/syngen/generator/graph | graph | 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/SpeechSynthesis/Tacotron2/trtis_cpp/trtis_client | trtis_client | CMakeLists | cmake_minimum_required(VERSION 3.0 FATAL_ERROR)
project(tacotron2_inference)
if (DEFINED DEVEL AND NOT DEVEL EQUAL 0)
if ("${CMAKE_CXX_COMPILER_ID}" MATCHES "GNU")
# g++ warnings
set(CPP_DEVEL_FLAGS "${CPP_DEVEL_FLAGS} -Wall")
set(CPP_DEVEL_FLAGS "${CPP_DEVEL_FLAGS} -Werror")
set(CPP_DEVEL_FLAGS "${... |
PyTorch/Recommendation/DLRM/preproc | preproc | parquet_to_binary | # 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/Segmentation/MaskRCNN/pytorch/configs/pascal_voc | pascal_voc | e2e_faster_rcnn_R_50_C4_1x_1_gpu_voc | MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50"
RPN:
PRE_NMS_TOP_N_TEST: 6000
POST_NMS_TOP_N_TEST: 300
ANCHOR_SIZES: (128, 256, 512)
ROI_BOX_HEAD:
NUM_CLASSES: 21
DATASETS:
TRAIN: ("voc_2007_train", "voc_2007_val")
TEST: ("voc_2007_test",)
SOLVER:... |
TensorFlow2/Recommendation/WideAndDeep/triton/deployment_toolkit/triton_performance_runner/perf_analyzer | perf_analyzer | perf_config | # 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/DLRM_and_DCNv2/deployment/tf | tf | __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... |
TensorFlow2/Recommendation/WideAndDeep/data/outbrain | outbrain | dataloader | # 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/WideAndDeep/triton/deployment_toolkit/triton_performance_runner | triton_performance_runner | 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... |
TensorFlow/Detection/SSD/models/research/slim/nets | nets | cyclegan_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... |
PaddlePaddle/LanguageModeling/BERT/vocab | vocab | bert-large-uncased-vocab | [PAD]
[unused0]
[unused1]
[unused2]
[unused3]
[unused4]
[unused5]
[unused6]
[unused7]
[unused8]
[unused9]
[unused10]
[unused11]
[unused12]
[unused13]
[unused14]
[unused15]
[unused16]
[unused17]
[unused18]
[unused19]
[unused20]
[unused21]
[unused22]
[unused23]
[unused24]
[unused25]
[unused26]
[unused27]
[unused28]
[unus... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/cli | cli | __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... |
CUDA-Optimized/FastSpeech/fastspeech/trt/plugins/repeat | repeat | test_repeat_plugin | # 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/Classification/ConvNets/se-resnext101-32x4d/training/AMP | AMP | DGX1V_se-resnext101-32x4d_AMP_90E | python ./multiproc.py --nproc_per_node 8 ./launch.py --model se-resnext101-32x4d --precision AMP --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
|
PyTorch/LanguageModeling/BERT/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... |
PyTorch/Forecasting/TFT | TFT | tft_torchhub | # 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/docker | docker | build | #!/usr/bin/env bash
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... |
TensorFlow2/Classification/ConvNets/efficientnet_v1 | efficientnet_v1 | README | # EfficientNet v1 For TensorFlow 2.6
This repository provides scripts and recipes to train EfficientNet v1-B0 and v1-B4 to achieve state-of-the-art accuracy.
The content of the repository is maintained by NVIDIA and is tested against each NGC monthly released container to ensure consistent accuracy and performance ove... |
TensorFlow/LanguageModeling/BERT/data | data | BooksDownloader | # 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... |
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | faster_rcnn_resnet101_coco | # Faster R-CNN with Resnet-101 (v1), configuration for MSCOCO 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/Classification/GPUNet/triton/deployment_toolkit/library | library | utils | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/generator/graph | graph | base_graph_generator | # 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/tacotron2 | tacotron2 | distributed | # BSD 3-Clause License
# Copyright (c) 2018-2020, 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, thi... |
TensorFlow/Detection/SSD/models/research/slim/preprocessing | preprocessing | inception_preprocessing | # 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... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | test_utils | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow/LanguageModeling/BERT/biobert/scripts | scripts | run_pretraining_pubmed_base_phase_2 | #! /bin/bash
echo "Container nvidia build = " $NVIDIA_BUILD_ID
init_checkpoint=${1}
train_batch_size=${2:-16}
learning_rate=${3:-"2.9e-4"}
cased=${4:-false}
precision=${5:-"fp16"}
use_xla=${6:-true}
num_gpu=${7:-16}
warmup_steps=${8:-"434"}
train_steps=${9:-4340}
num_accumulation_steps=${10:-128}
save_checkpoint_step... |
PyTorch/Recommendation/DLRM/preproc/gpu | gpu | get_gpu_resources | #! /bin/bash
ADDRS=`nvidia-smi --query-gpu=index --format=csv,noheader | sed -e ':a' -e 'N' -e'$!ba' -e 's/\n/","/g'`
echo {\"name\": \"gpu\", \"addresses\":[\"$ADDRS\"]}
|
TensorFlow2/Recommendation/WideAndDeep/tests/feature_specs | feature_specs | less_numerical | channel_spec:
label:
- clicked
map: []
multihot_categorical:
- topic_id_list
- entity_id_list
- category_id_list
numerical:
- document_id_promo_ctr
- publisher_id_promo_ctr
- source_id_promo_ctr
- document_id_promo_count
- publish_time_days_since_published
- ad_id_ctr
- advertiser_id_ctr
... |
Tools/PyTorch/TimeSeriesPredictionPlatform | TimeSeriesPredictionPlatform | launch_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 require... |
PyTorch/LanguageModeling/BERT/triton/large/runner | runner | start_NVIDIA-DGX-1-(1x-V100-32GB) | # 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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