relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
PyTorch/LanguageModeling/BERT/scripts/configs | configs | pretrain_config | #!/usr/bin/env bash
# Copyright (c) 2020-2021 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
#
# Un... |
PyTorch/Forecasting/TFT/triton/runner | 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf | conf | preproc_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/LanguageModeling/BERT/triton/large/runner | runner | pipeline_impl | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
Tools/PyTorch/TimeSeriesPredictionPlatform | TimeSeriesPredictionPlatform | requirements | # 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/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... |
PyTorch/SpeechRecognition/Jasper/triton/model_repo_configs/fp32/jasper-ts-trace | jasper-ts-trace | config | name: "jasper-ts-trace"
platform: "pytorch_libtorch"
default_model_filename: "model.pt"
max_batch_size: 8#MAX_BATCH
input [
{
name: "input__0"
data_type: TYPE_FP32
dims: [64, -1]
}
]
output [
{
name: "output__0"
data_type: TYPE_FP32
dims: [-1, 29]
}
]
instance_group {
count: 1#NUM_... |
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | faster_rcnn_resnet101_kitti | # Faster R-CNN with Resnet-101 (v1)
# Trained on KITTI dataset (cars and pedestrian), initialized from COCO
# detection 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 ... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/modeling | modeling | registry | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from maskrcnn_benchmark.utils.registry import Registry
BACKBONES = Registry()
ROI_BOX_FEATURE_EXTRACTORS = Registry()
RPN_HEADS = Registry()
|
TensorFlow/Segmentation/UNet_3D_Medical/scripts | scripts | unet3d_train_benchmark_TF-AMP | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/layers | layers | lstm | /*
* 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/utils/hooks | hooks | prefill_hook | #! /usr/bin/python
# -*- coding: utf-8 -*-
# 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/licens... |
PyTorch/SpeechRecognition/Jasper/triton/model_repo_configs/fp16/jasper-tensorrt | jasper-tensorrt | 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... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/layers | layers | attentionLayerCreator | /*
* 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/Recommendation/DLRM/preproc | preproc | spark_data_utils | # Copyright (c) 2021 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
TensorFlow2/Recommendation/WideAndDeep/triton/deployment_toolkit/triton_inference_runner | triton_inference_runner | http | # 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/SpeechRecognition/Jasper/common/text | text | symbols | # Copyright (c) 2017 Keith Ito
""" from https://github.com/keithito/tacotron """
'''
Defines the set of symbols used in text input to the model.
The default is a set of ASCII characters that works well for English or text that has been run through Unidecode. For other data, you can modify _characters. See TRAINING_DA... |
PyTorch/Recommendation/NCF | NCF | transcode | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/LanguageModeling/BERT/triton | triton | metrics | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton | triton | export_model | # 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/PyTorch/TimeSeriesPredictionPlatform | TimeSeriesPredictionPlatform | launch_training | # 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/SpeechSynthesis/FastPitch/common/text/zh | zh | pinyin_dict | NIN N IN
FA F A
BAI B AI
YIN Y IN
DE D E
SHEN SH EN
TAN T AN
PAO P AO
WENG W ENG
LAN L AN
CHUAN CH U AN
SEI S EI
DANG D ANG
XUE X VE
YUAN Y V AN
HU H U
CUAN C U AN
BO B O
SHAI SH AI
CHUI CH UI
SHOU SH OU
QIU Q IU
SONG S ONG
KAI K AI
LING L ING
SUO S U O
ZHUAI ZH U AI
ZHEN ZH EN
GENG G ENG
YAN Y AN
CU C U
ZHUA ZH U A
MA... |
CUDA-Optimized/FastSpeech/tacotron2 | tacotron2 | utils | # 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... |
PyTorch/LanguageModeling/BERT/distillation/BERT_6L_768D | BERT_6L_768D | config | {
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"max_position_embeddings": 512,
"num_attention_heads": 12,
"num_hidden_layers": 6,
"type_vocab_size": 2,
"vocab_size": 30528
}
|
PyTorch/LanguageModeling/BART/bart/tokenization | tokenization | tokenization_xlnet | # coding=utf-8
# Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved.
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Licens... |
TensorFlow/Classification/ConvNets/dataprep | dataprep | imagenet_2012_validation_synset_labels | n01751748
n09193705
n02105855
n04263257
n03125729
n01735189
n02346627
n02776631
n03794056
n02328150
n01917289
n02125311
n02484975
n04065272
n03496892
n02066245
n01914609
n01616318
n02971356
n03126707
n02346627
n02091244
n07742313
n03956157
n01616318
n04380533
n02114548
n02089973
n01729977
n04435653
n02280649
n03444034
... |
TensorFlow/Detection/SSD/models/research/slim/nets | nets | inception_v4 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... |
TensorFlow2/Detection/Efficientdet | Efficientdet | inspector | # 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/LanguageModeling/BERT/official/utils/flags | flags | _benchmark | # 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/Recommendation/DLRM/preproc | preproc | preproc_NVTabular | # 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... |
TensorFlow/Detection/SSD/models/research/object_detection/metrics | metrics | oid_od_challenge_evaluation | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/SpeechRecognition/Jasper/platform | platform | DGX1-32GB_Jasper_AMP_8GPU | #!/bin/bash
NUM_GPUS=8 AMP=true BATCH_SIZE=64 GRAD_ACCUMULATION_STEPS=1 bash scripts/train.sh "$@"
|
PyTorch/SpeechSynthesis/HiFiGAN/hifigan | hifigan | __init__ | from .entrypoints import nvidia_hifigan
|
PyTorch/SpeechSynthesis/FastPitch/common/text | text | text_processing | """ adapted from https://github.com/keithito/tacotron """
import re
import numpy as np
from . import cleaners
from .symbols import get_symbols
from . import cmudict
from .numerical import _currency_re, _expand_currency
#########
# REGEX #
#########
# Regular expression matching text enclosed in curly braces for enco... |
TensorFlow/Segmentation/UNet_3D_Medical | UNet_3D_Medical | .gitignore | .idea/
*.tar
.ipynb_checkpoints
/_python_build
*.pyc
__pycache__
*.swp
/datasets
/results
results
./data
|
PyTorch/Classification/ConvNets/image_classification | image_classification | mixup | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law... |
TensorFlow2/Classification/ConvNets/efficientnet_v1/B0/evaluation | evaluation | evaluation_FP32_V100-32G | # 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/nnUNet/models | models | unet | import tensorflow as tf
from models import layers
class UNet(tf.keras.Model):
def __init__(
self,
input_shape,
n_class,
kernels,
strides,
normalization_layer,
negative_slope,
dimension,
deep_supervision,
):
super().__init__()
... |
TensorFlow/Detection/SSD/models/research/object_detection | object_detection | model_main | # 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/Classification/ConvNets/efficientnet_v1/B4/inference | inference | inference_FP32 | # 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/fastpitch | fastpitch | data_function | # *****************************************************************************
# 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... |
PyTorch/SpeechSynthesis/FastPitch/triton | triton | config_model_on_triton | #!/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/LanguageModeling/BART/utils | utils | logging | # coding=utf-8
# Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved.
# Copyright 2020 Optuna, Hugging Face
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.or... |
TensorFlow2/Recommendation/WideAndDeep/triton/deployment_toolkit/library | library | tensorrt | # 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 | configs | e2e_faster_rcnn_R_50_FPN_1x | MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50"
BACKBONE:
CONV_BODY: "R-50-FPN"
OUT_CHANNELS: 256
RPN:
USE_FPN: True
ANCHOR_STRIDE: (4, 8, 16, 32, 64)
PRE_NMS_TOP_N_TRAIN: 2000
PRE_NMS_TOP_N_TEST: 1000
POST_NMS_TOP_N_TEST: 1000
FPN_POS... |
PyTorch/Recommendation/DLRM/tests/feature_specs | feature_specs | 10_num | channel_spec:
categorical:
- cat_0.bin
- cat_1.bin
- cat_2.bin
- cat_3.bin
- cat_4.bin
- cat_5.bin
- cat_6.bin
- cat_7.bin
- cat_8.bin
- cat_9.bin
- cat_10.bin
- cat_11.bin
- cat_12.bin
- cat_13.bin
- cat_14.bin
- cat_15.bin
- cat_16.bin
- cat_17.bin
- cat_18.bin
- cat_19.bin
... |
TensorFlow/Detection/SSD/models/research/object_detection/predictors/heads | heads | keypoint_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... |
PyTorch/Classification/GPUNet/triton/runner | runner | configuration | # 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/LanguageModeling/BERT/biobert/scripts | scripts | run_pretraining_pubmed_base_phase_1 | #! /bin/bash
echo "Container nvidia build = " $NVIDIA_BUILD_ID
train_batch_size=${1:-128}
learning_rate=${2:-"9.625e-5"}
cased=${3:-false}
precision=${4:-"fp16"}
use_xla=${5:-"true"}
num_gpu=${6:-16}
warmup_steps=${7:-"1953"}
train_steps=${8:-19531}
num_accumulation_steps=${9:-32}
save_checkpoint_steps=${10:-5000}
ev... |
TensorFlow/Segmentation/UNet_Medical | UNet_Medical | 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... |
PyTorch/LanguageModeling/BERT/triton | triton | run_performance_on_triton | #!/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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner | runner | pipeline | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/Segmentation/Contrib/UNet3P/data_preparation | data_preparation | README | For data two options are available
- [Train on LiTS Data](#lits-liver-tumor-segmentation-challenge)
- [Train on custom data](#train-on-custom-data)
## LiTS Liver Tumor Segmentation challenge
This dataset consist of 131 Liver CT Scans.
Register [here](https://competitions.codalab.org/competitions/17094) to get datas... |
PyTorch/LanguageModeling/Transformer-XL | Transformer-XL | .gitignore | **/.DS_Store
__pycache__/
data/
results/
pytorch/LM-TFM/*
*.out
*.log
|
PyTorch/SpeechSynthesis/FastPitch/triton | triton | requirements | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/Detection/SSD/models/research/object_detection/core | core | region_similarity_calculator | # 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/Detection/Efficientdet/scripts/D0 | D0 | inference_FP32_V100-32G | #!/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 --checkpoint ${CKPT_PATH:-/checkpoints/Effdet_B0.pth} --inference |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/waveglow | waveglow | blending | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
PyTorch/Detection/Efficientdet/effdet/layers | layers | cond_conv2d | # 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/Recommendation/SIM/sim/layers | layers | ctr_classification_mlp | # 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... |
TensorFlow/Segmentation/UNet_3D_Medical/scripts | scripts | unet3d_infer_benchmark_TF-AMP | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
Tools/PyTorch/TimeSeriesPredictionPlatform/evaluators | evaluators | evaluation_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 require... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | per_image_vrd_evaluation | # 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/Recommendation/VAE-CF/vae/metrics | metrics | ndcg | # 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 appli... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/preprocessing/datasets | datasets | cora | # 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/LanguageModeling/BERT/distillation | distillation | distillation_config_backbone | {"distillation": true,
"distillation_config": {"use_attention_scores": true,
"use_hidden_states": true,
"use_value_states": true,
"use_embedding_states": false,
"use_pred_states": false,
"attention_loss": "kld",
"hidden_state_loss": "cosine",
"embedding_state_loss": "cosine",
"val... |
TensorFlow2/Segmentation/UNet_Medical/examples | examples | unet_INFER | # 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/deployment_toolkit/triton_performance_runner/model_analyzer | model_analyzer | exceptions | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/Segmentation/UNet_Medical/examples | examples | unet_TRAIN_8GPU | # 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/Recommendation/DLRM/tests/feature_specs | feature_specs | different_feature_names | channel_spec:
categorical:
- 65ytfg.bin
- dgtwrg.bin
- hmfgd.bin
- 6tyjgh.bin
- 67yu.bin
- l6rtd.bin
- ouikjhfg.bin
- 65ry.bin
- 5yhtrfg.bin
- 65rty.bin
- 34ywesh5rtg.bin
- w4su6js.bin
- 45wyhtr.bin
- u65rhty.bin
- tujy.bin
- tyjdh.bin
- ujtyesh.bin
- 5e7tdyj.bin
- 46rjydh.bin
... |
PyTorch/Recommendation/DLRM/tests | tests | test_all_configs | #!/bin/bash
set -e
set -x
NAMES=${1:-'*.yaml'}
TARGET=feature_specs/${NAMES}
OPTIONS=${2-""}
for file in ${TARGET};
do
echo "${file}";
done
for fspec_file in ${TARGET};
do
SYNTH_DATA_DIR=/tmp/generated_data/${fspec_file}
# generate data based on fspec
python -m dlrm.scripts.prepare_synthetic_dataset --feature_s... |
PyTorch/Detection/SSD/ssd | ssd | coco_pipeline | # Copyright (c) 2018-2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
PyTorch/SpeechSynthesis/FastPitch/notebooks | notebooks | FastPitch_voice_modification | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
# Copyright 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/licen... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/csrc/cuda | cuda | box_encode | /**
* 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 require... |
TensorFlow/Segmentation/UNet_Medical/examples | examples | unet_INFER | # 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... |
DGLPyTorch/DrugDiscovery/SE3Transformer/se3_transformer/model/layers | layers | attention | # 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/Classification/GPUNet/triton/deployment_toolkit/triton_performance_runner/perf_analyzer | perf_analyzer | warmup | # 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/resnext101-32x4d/training | training | DGX2_RNxt101-32x4d_FP32_250E | #!/bin/bash
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... |
TensorFlow/Classification/ConvNets/resnet50v1.5/training | training | DGX1_RN50_AMP_250E | #!/bin/bash
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... |
PyTorch/SpeechRecognition/wav2vec2/common | common | metrics | # 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/Segmentation/MaskRCNN/pytorch/tools | tools | test_net | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
# Set up custom environment before nearly anything else is imported
# NOTE: this should be the first import (no not reorder)
from maskrcnn_benchmark.utils.env import setup_environment ... |
TensorFlow/Detection/SSD/models/research/object_detection/dataset_tools | dataset_tools | create_kitti_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... |
TensorFlow/LanguageModeling/BERT | BERT | run_squad | # coding=utf-8
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# 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... |
CUDA-Optimized/FastSpeech/fastspeech/utils | utils | tensorboard | # 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/DrugDiscovery/MoFlow/scripts | scripts | predict | #!/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... |
PaddlePaddle/LanguageModeling/BERT/vocab | vocab | bert-base-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... |
TensorFlow/Detection/SSD/models/research/slim/scripts | scripts | export_mobilenet | #!/bin/bash
# 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... |
CUDA-Optimized/FastSpeech | FastSpeech | .gitignore | .idea
__pycache__
.DS_Store
*.egg-info
.vscode
|
TensorFlow2/Segmentation/UNet_Medical/data_loading | data_loading | 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 applic... |
PyTorch/Classification/GPUNet/triton | triton | dataloader | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/Classification/GPUNet/triton | triton | run_performance_on_triton | #!/usr/bin/env python3
# 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
#
# U... |
TensorFlow2/Detection/Efficientdet/object_detection | object_detection | argmax_matcher | # Copyright 2020 Google Research. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... |
PyTorch/SpeechSynthesis/Tacotron2/tacotron2_common | tacotron2_common | utils | # *****************************************************************************
# 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/Classification/GPUNet/triton/085ms/runner | runner | pipeline_impl | # 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/core | core | model | # 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/platform | platform | DGX1_waveglow_AMP_4NGPU_train | mkdir -p output
python -m multiproc train.py -m WaveGlow -o output/ --amp -lr 1e-4 --epochs 1001 -bs 10 --segment-length 8000 --weight-decay 0 --grad-clip-thresh 65504.0 --cudnn-benchmark --cudnn-enabled --log-file nvlog.json
|
TensorFlow2/Recommendation/DLRM_and_DCNv2/deployment | deployment | evaluate_accuracy | # 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/WideAndDeep/scripts | scripts | DGX1_benchmark_training_fp32_8gpu | #!/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... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/cli/commands | commands | __init__ | # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/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... |
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