relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
PyTorch/Forecasting/TFT/triton | triton | prepare_input_data | # 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/Segmentation/Contrib/UNet3P/data_preparation | data_preparation | delete_zip_data | rm data/Training_Batch1.zip
rm data/Training_Batch2.zip |
PyTorch/SpeechRecognition/wav2vec2/common/fairseq | fairseq | incremental_decoding_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... |
TensorFlow2/Detection/Efficientdet/object_detection | object_detection | box_list | # 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/ELECTRA | ELECTRA | postprocess_pretrained_ckpt | # 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 applica... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/utils | utils | miscellaneous | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import errno
import os
def mkdir(path):
try:
os.makedirs(path)
except OSError as e:
if e.errno != errno.EEXIST:
raise
|
PyTorch/Classification/GPUNet/triton/runner | runner | runner_proxy | # 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/models | models | embedded_ssd_mobilenet_v1_feature_extractor_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/Forecasting/TFT/triton/runner | runner | core | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
PyTorch/SpeechSynthesis/Tacotron2/notebooks/conversationalai | conversationalai | export_tacotron2_ts | # *****************************************************************************
# 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... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | 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... |
TensorFlow2/Detection/Efficientdet/model | model | activation_builder | # Copyright 2020 Google Research. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... |
TensorFlow/LanguageModeling/BERT/biobert/scripts | scripts | rel_chemprot | #!/bin/bash
echo "Container nvidia build = " $NVIDIA_BUILD_ID
init_checkpoint=${1:-"/results/biobert_tf_uncased_base/model.ckpt"}
train_batch_size=${2:-8}
learning_rate=${3:-1.5e-6}
cased=${4:-false}
precision=${5:-"fp16"}
use_xla=${6:-"true"}
num_gpu=${7:-"16"}
seq_length=${8:-512}
bert_model=${9:-"base"}
eval_batch... |
TensorFlow/LanguageModeling/BERT/data | data | __init__ | # 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... |
PyTorch/Segmentation/MaskRCNN/pytorch/configs/caffe2 | caffe2 | e2e_faster_rcnn_R_101_FPN_1x_caffe2 | MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://Caffe2Detectron/COCO/35857890/e2e_faster_rcnn_R-101-FPN_1x"
BACKBONE:
CONV_BODY: "R-101-FPN"
OUT_CHANNELS: 256
RPN:
USE_FPN: True
ANCHOR_STRIDE: (4, 8, 16, 32, 64)
PRE_NMS_TOP_N_TRAIN: 2000
PRE_NMS_TOP_N_TEST: 1000
POST_N... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/generator/tabular | tabular | random | # 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/triton | triton | README | # Deploying the BERT model on Triton Inference Server
This folder contains instructions for deployment to run inference
on Triton Inference Server, as well as detailed performance analysis.
The purpose of this document is to help you with achieving
the best inference performance.
## Table of contents
- [Solution o... |
TensorFlow/LanguageModeling/BERT/scripts | scripts | run_pretraining_lamb_phase2 | #! /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... |
TensorFlow/Segmentation/UNet_Industrial/scripts/benchmarking | benchmarking | UNet_evalbench_AMP | #!/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/Translation/GNMT/utils | utils | iterator_utils | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... |
TensorFlow/Translation/GNMT/utils | utils | vocab_utils | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... |
TensorFlow2/Classification/ConvNets/model/blocks | blocks | __init__ | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/trainer/optimizer | optimizer | SGD | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... |
TensorFlow2/LanguageModeling/BERT/official/nlp/transformer | transformer | model_params | # 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/Classification/GPUNet/triton/scripts | scripts | setup_environment | #!/usr/bin/env 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
#
# Unl... |
TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model | model | losses | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/Recommendation/NCF | NCF | neumf | # Copyright (c) 2018. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file 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 agreed t... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/trainer/callbacks/callbacks | callbacks | logging | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... |
TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/ops | ops | preprocess_ops | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/tacotron2 | tacotron2 | tacotron2StreamingInstance | /*
* 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/Classification/ConvNets/efficientnet/training/TF32 | TF32 | DGXA100_efficientnet-widese-b4_TF32 | python ./multiproc.py --nproc_per_node 8 ./launch.py --model efficientnet-widese-b4 --precision TF32 --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json
|
TensorFlow2/Segmentation/UNet_Medical/model | model | layers | # 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/BART/utils | utils | make_datafiles | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/SpeechSynthesis/Tacotron2/platform | platform | DGXA100_tacotron2_TF32_4NGPU_train | mkdir -p output
python -m multiproc train.py -m Tacotron2 -o output/ -lr 1e-3 --epochs 1501 -bs 128 --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.json ... |
PaddlePaddle/LanguageModeling/BERT/data | data | BooksDownloader | # 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_3D_Medical | UNet_3D_Medical | README | # 3D-UNet Medical Image Segmentation for TensorFlow 1.x
This repository provides a script and recipe to train the 3D-UNet model to achieve state-of-the-art accuracy.
The content of this repository is tested and maintained by NVIDIA.
3D-UNet model for TensorFlow1 is no longer maintained and will soon become unavailabl... |
PyTorch/SpeechRecognition/Jasper/triton/model_repo_configs/fp16/jasper-tensorrt-ensemble | jasper-tensorrt-ensemble | config | name: "jasper-tensorrt-ensemble"
platform: "ensemble"
max_batch_size: 8#MAX_BATCH
input {
name: "AUDIO_SIGNAL"
data_type: TYPE_FP16
dims: -1#AUDIO_LENGTH
}
input {
name: "NUM_SAMPLES"
data_type: TYPE_INT32
dims: [ 1 ]
}
output {
name: "TRANSCRIPT"
data_type: TYPE_INT32
dims: [-1]
}
e... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/deployment/hps | hps | __init__ | # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/Translation/Transformer/fairseq/optim | optim | adagrad | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import torch.optim
from . import ... |
TensorFlow/Detection/SSD/models/research/object_detection/meta_architectures | meta_architectures | faster_rcnn_meta_arch_test_lib | # 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/slim/scripts | scripts | finetune_inception_resnet_v2_on_flowers | #!/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... |
TensorFlow/Classification/ConvNets | ConvNets | .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/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
*.whl
MANIFEST
# PyInstaller
# Usually thes... |
PyTorch/Detection/Efficientdet/scripts/D0 | D0 | inference_AMP_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 --amp --checkpoint ${CKPT_PATH:-/checkpoints/Effdet_B0.pth} --inference |
PyTorch/SpeechSynthesis/Tacotron2/phrases | phrases | phrase_4_256 | 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 and the form of printed letters should be beautiful, and that their arrangement on pages.
The forms of printed letters should be beautiful, and that their... |
TensorFlow/Classification/ConvNets/se-resnext101-32x4d/training | training | DGX2_SE-RNxt101-32x4d_FP32_90E | #!/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/SpeechSynthesis/HiFiGAN/scripts | scripts | extract_fine_tune_mels | #!/usr/bin/env bash
# Runs a process which resembles FastPitch training and extracts mel-scale
# spectrograms generated with FastPitch for HiFi-GAN fine-tuning.
export OMP_NUM_THREADS=1
: ${NUM_GPUS:=8}
: ${BATCH_SIZE:=16}
: ${AMP:=false}
: ${DATASET_PATH:="data/LJSpeech-1.1"}
: ${OUTPUT_DIR:="data/mels-fastpitch-l... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/cli/commands | commands | mimic_dataset | # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/Detection/Efficientdet/effdet | effdet | model | """ PyTorch EfficientDet model
Based on official Tensorflow version at: https://github.com/google/automl/tree/master/efficientdet
Paper: https://arxiv.org/abs/1911.09070
Hacked together by Ross Wightman
"""
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/scripts | scripts | run_traffic_DGX1-16G | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... |
PyTorch/Classification/GPUNet/triton/runner | runner | stages | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/LanguageModeling/Transformer-XL | Transformer-XL | requirements | pytorch-transformers==1.1.0
sacremoses==0.0.35
pynvml==8.0.4
|
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/cli/commands | commands | pretrain | # 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/src/trt/util | util | layerData | /*
* 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... |
DGLPyTorch/DrugDiscovery/SE3Transformer/se3_transformer/model | model | basis | # 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/ConvNets | ConvNets | README | # Convolutional Network for Image Classification in PyTorch
In this repository you will find implementations of various image classification models.
Detailed information on each model can be found here:
## Table Of Contents
* [Models](#models)
* [Validation accuracy results](#validation-accuracy-results)
* [Trainin... |
TensorFlow/Segmentation/UNet_Industrial/model/layers | layers | conv2d | #!/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... |
TensorFlow/Detection/SSD/models | models | README | # TensorFlow Models
This repository contains a number of different models implemented in [TensorFlow](https://www.tensorflow.org):
The [official models](https://github.com/tensorflow/models/tree/master/official) are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-mai... |
TensorFlow/Detection/SSD/models/research/object_detection/core | core | standard_fields | # 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/tensorflow-dot-based-interact/tensorflow_dot_based_interact/python/ops | ops | __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/Segmentation/UNet_Industrial/model/layers | layers | array_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... |
DGLPyTorch/DrugDiscovery/SE3Transformer/se3_transformer/data_loading | data_loading | data_module | # 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... |
TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/runtime | runtime | run | import logging
import os
import tensorflow as tf
import dllogger
from mrcnn_tf2.model.mask_rcnn import MaskRCNN
from mrcnn_tf2.runtime.callbacks import DLLoggerMetricsCallback, DLLoggerPerfCallback, PretrainedWeightsLoadingCallback
from mrcnn_tf2.runtime.evaluation import evaluate
from mrcnn_tf2.runtime.learning_rate... |
Tools/PyTorch/TimeSeriesPredictionPlatform/distributed_launcher | distributed_launcher | setup | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... |
TensorFlow2/Recommendation/DLRM_and_DCNv2 | DLRM_and_DCNv2 | main | # 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/Translation/Transformer | Transformer | preprocess | #!/usr/bin/env python3
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
#
import ar... |
PyTorch/Forecasting/TFT/triton/deployment_toolkit | deployment_toolkit | core | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
TensorFlow/Detection/SSD/models/research/slim/datasets | datasets | cifar10 | # 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/LanguageModeling/BERT | BERT | create_finetuning_data | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/Classification/ConvNets/resnet50v1.5/training/FP32 | FP32 | DGX2V_resnet50_FP32_250E | python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision FP32 --mode convergence --platform DGX2V /imagenet --workspace ${1:-./} --raport-file raport.json
|
TensorFlow/Recommendation/NCF | NCF | prepare_dataset | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/Detection/SSD/models/research/object_detection/predictors | predictors | convolutional_keras_box_predictor_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/models | models | ssd_mobilenet_v1_ppn_feature_extractor_test | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow/Detection/SSD | SSD | README | # SSD320 v1.2 For TensorFlow
This repository provides a script and recipe to train SSD320 v1.2 to achieve state of the art accuracy, and is tested and maintained by NVIDIA.
SSD model for TensorFlow1 is no longer maintained and will soon become unavailable, please consider a PyTorch version or EfficientDet TensorFlow2 ... |
TensorFlow/Detection/SSD/models/research/object_detection/legacy | legacy | eval | # 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... |
CUDA-Optimized/FastSpeech/fastspeech/trt/plugins/repeat | repeat | RepeatPlugin | // 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 con... |
TensorFlow/Detection/SSD/models/research/slim/datasets | datasets | 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/LanguageModeling/BERT/biobert/scripts | scripts | biobert_data_download | #!/usr/bin/env 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 ... |
PyTorch/LanguageModeling/BERT/triton/runner | runner | exporter | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/plugins/taco2ModulationRemovalPlugin | taco2ModulationRemovalPlugin | taco2ModulationRemovalLayerPlugin | /*
* 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/Classification/ConvNets/triton | triton | client | # 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 appli... |
PyTorch/SpeechSynthesis/Tacotron2 | Tacotron2 | main | # *****************************************************************************
# 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... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/cli/commands | commands | preprocess | # 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/data | data | BookscorpusTextFormatting | # 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... |
PyTorch/Classification/GPUNet/triton | triton | run_inference_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/LanguageModeling/BERT/official/utils/logs | logs | mlperf_helper | # 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... |
TensorFlow/Segmentation/UNet_Industrial/model/layers | layers | dense | #!/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/Recommendation/DLRM | DLRM | dgxa100_ccx | # Copyright (c) 2021 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/test | test | UnitTest | /*
* 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/Classification/ConvNets/triton/scripts/docker | docker | build | #!/usr/bin/env bash
# Copyright (c) 2021 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... |
PyTorch/DrugDiscovery/MoFlow | MoFlow | setup | # 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_Industrial/scripts/benchmarking | benchmarking | UNet_trainbench_4GPU | #!/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/Recommendation/WideAndDeep | WideAndDeep | setup | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/Detection/SSD/models/research/object_detection/g3doc | g3doc | installation | # Installation
## Dependencies
Tensorflow Object Detection API depends on the following libraries:
* Protobuf 3.0.0
* Python-tk
* Pillow 1.0
* lxml
* tf Slim (which is included in the "tensorflow/models/research/" checkout)
* Jupyter notebook
* Matplotlib
* Tensorflow (>=1.9.0)
* Cython
* context... |
PaddlePaddle/LanguageModeling/BERT/bert_configs | bert_configs | bert-large-cased | {
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"max_position_embeddings": 512,
"num_attention_heads": 16,
"num_hidden_layers": 24,
"type_vocab_size": 2,
"vocab_size": 28996
}
|
PyTorch/Translation/Transformer/scripts | scripts | run_training | #! /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... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/deployment/hps | hps | deploy_ensemble | # 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/Forecasting/TFT/triton/runner | runner | preparer | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
PyTorch/Detection/Efficientdet/scripts/docker | docker | build | #!/bin/bash
docker build --rm -t nvcr.io/nvidia/effdet:21.06-py3-stage . -f Dockerfile
|
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/utils/types | types | metadata | # 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 | start_NVIDIA-DGX-A100-(1x-A100-80GB) | # 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... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.