relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
PyTorch/LanguageModeling/BERT/distillation | distillation | README | Distillation
========
To get setup to run Knowledge Distillation on BERT once in the container, run the following:
```
cd /workspace/bert/distillation
bash utils/perform_distillation_prereqs.sh
```
`perform_distillation_prereqs.sh` performs the following:
- Downloads and processes prerequisite BERT-base checkpoints ... |
CUDA-Optimized/FastSpeech/fastspeech/utils | utils | nvtx | # 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton | triton | run_inference_on_fw | #!/usr/bin/env python3
# Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/trtis_client/src/bin | bin | CMakeLists | ##
# 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 list of... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/nn | nn | model | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/generator/tabular | tabular | base_tabular_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... |
TensorFlow2/LanguageModeling/ELECTRA/scripts | scripts | run_squad | #!/usr/bin/env 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 ... |
TensorFlow2/Recommendation/WideAndDeep/triton/runner | runner | task | # 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/platform | platform | DGXA100_tacotron2_AMP_8NGPU_train | mkdir -p output
python -m multiproc train.py -m Tacotron2 -o output/ --amp -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... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/test | test | Taco2LSTMCellLayerPlugin_test | /*
* 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/SpeechSynthesis/FastPitch/triton/deployment_toolkit | deployment_toolkit | warmup | # 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/Recommendation/VAE-CF | VAE-CF | README | # Variational Autoencoder for Collaborative Filtering for TensorFlow
This repository provides a script and recipe to train the Variational Autoencoder model for TensorFlow to achieve state-of-the-art accuracy on a Collaborative Filtering task and is tested and maintained by NVIDIA.
VAE-CF model for TensorFlow1 is no l... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/tacotron2 | tacotron2 | decoderInstancePlain | /*
* 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... |
PaddlePaddle/Classification/RN50v1.5/scripts/inference | inference | export_resnet50_AMP | # 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 app... |
TensorFlow2/LanguageModeling/ELECTRA | ELECTRA | README | # ELECTRA For TensorFlow2
This repository provides a script and recipe to train the ELECTRA model for TensorFlow2 to achieve state-of-the-art accuracy, and is tested and maintained by NVIDIA.
## Table Of Contents
- [Model overview](#model-overview)
* [Model architecture](#model-architecture)
* [Default config... |
TensorFlow/Detection/SSD/models/research/object_detection/builders | builders | graph_rewriter_builder_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/models/research/object_detection/models | models | ssd_inception_v3_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/SpeechRecognition/Jasper/configs | configs | jasper10x5dr_speedp-online-discrete | # 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/NCF | NCF | inference | #
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... |
PyTorch/Classification/ConvNets/triton/deployment_toolkit | deployment_toolkit | __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... |
Kaldi/SpeechRecognition/scripts/docker | docker | dataset_setup | #!/bin/bash
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/scripts | scripts | build_engines | #!/bin/bash
##
# 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, ... |
PyTorch/Classification/GPUNet/triton/runner/maintainer/docker/containers | containers | triton_server_container | # 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/analyzer/graph | graph | plotting | # 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/scripts/docker | docker | launch | #!/bin/bash
CMD=${1:-/bin/bash}
NV_VISIBLE_DEVICES=${2:-"all"}
EXTRA_MOUNTS=${3:-""}
IMAGE=${4:-"bert"}
DOCKER_BRIDGE=${5:-"host"}
docker run -it --rm \
--gpus \"device=$NV_VISIBLE_DEVICES\" \
--net=$DOCKER_BRIDGE \
--shm-size=1g \
--ulimit memlock=-1 \
--ulimit stack=67108864 \
-v $PWD:/workspace/bert \
... |
TensorFlow2/Detection/Efficientdet/efficientnet/blocks | blocks | mb_conv_block | import tensorflow as tf
from typing import Any, Dict, Optional, Text, Tuple
from efficientnet.layers import get_activation
from efficientnet.blocks import conv2d_block
__all__ = ['mb_conv_block']
def mb_conv_block(inputs: tf.Tensor,
block: dict,
config: dict,
pre... |
PyTorch/Classification/ConvNets/resnext101-32x4d/training/FP32 | FP32 | DGX1V_resnext101-32x4d_FP32_250E | python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnext101-32x4d --precision FP32 --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json
|
PyTorch/SpeechSynthesis/Tacotron2/tensorrt | tensorrt | convert_onnx2trt | # *****************************************************************************
# 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/Tacotron2/platform | platform | DGX1_waveglow_AMP_8NGPU_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/Segmentation/MaskRCNN/dataset | dataset | create_coco_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/Forecasting/TFT/triton/runner | runner | logger | # 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/LanguageModeling/ELECTRA | ELECTRA | tokenization | # Copyright 2020 The Google AI Team, Stanford University and The HuggingFace Inc. team.
# 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 Lice... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton | triton | calculate_metrics | #!/usr/bin/env python3
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... |
PyTorch/SpeechSynthesis/Tacotron2/tensorrt | tensorrt | README | # Tacotron 2 and WaveGlow Inference with TensorRT
This is subfolder of the Tacotron 2 for PyTorch repository, tested and maintained by NVIDIA, and provides scripts to perform high-performance inference using NVIDIA TensorRT.
The Tacotron 2 and WaveGlow models form a text-to-speech (TTS) system that enables users to s... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/plugins/taco2PrenetPlugin | taco2PrenetPlugin | taco2PrenetLayerPluginCreator | /*
* 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/LanguageModeling/BERT/triton | triton | export_model | #!/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... |
MxNet/Classification/RN50v1.5 | RN50v1.5 | train | # Copyright 2017-2018 The Apache Software Foundation
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apach... |
TensorFlow/LanguageModeling/BERT/scripts | scripts | run_pretraining_lamb_phase1 | #! /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... |
PyTorch/Classification/GPUNet/triton/065ms/runner | runner | config_NVIDIA-DGX-1-(1x-V100-32GB) | batching: dynamic
checkpoints:
- name: 0.65ms
url: https://api.ngc.nvidia.com/v2/models/nvidia/dle/gpunet_0_pyt_ckpt/versions/21.12.0_amp/zip
configurations:
- checkpoint: 0.65ms
parameters:
backend_accelerator: trt
checkpoint: 0.65ms
device_kind: gpu
export_format: onnx
export_precision: fp16
... |
TensorFlow/Detection/SSD/models/research/object_detection/builders | builders | model_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... |
TensorFlow/Classification/ConvNets/se-resnext101-32x4d/training | training | DGXA100_SE-RNxt101-32x4d_AMP_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... |
TensorFlow2/Recommendation/WideAndDeep/tests/feature_specs | feature_specs | no_categorical | channel_spec:
label:
- clicked
map: []
multihot_categorical: []
numerical:
- document_id_document_id_promo_sim_categories
- document_id_document_id_promo_sim_topics
- document_id_document_id_promo_sim_entities
- document_id_promo_ctr
- publisher_id_promo_ctr
- source_id_promo_ctr
- document_id_p... |
PyTorch/SpeechSynthesis/Tacotron2/tacotron2 | tacotron2 | arg_parser | # *****************************************************************************
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions... |
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | faster_rcnn_resnet50_fgvc | # Faster R-CNN with Resnet-50 (v1)
# 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 configured.
model {
faster_rcn... |
PyTorch/Forecasting/TFT | TFT | data_utils | # 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/Classification/ConvNets/resnext101-32x4d/training | training | DGX1_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... |
PyTorch/Recommendation/DLRM/dlrm/scripts | scripts | gen_csv | from dlrm.data.defaults import NUMERICAL_CHANNEL, LABEL_CHANNEL
from dlrm.data.feature_spec import FeatureSpec
from argparse import ArgumentParser
import pandas as pd
import os
import numpy as np
def parse_args():
parser = ArgumentParser()
parser.add_argument('--feature_spec_in', type=str, default='feature_sp... |
PyTorch/Translation/Transformer | Transformer | requirements | cffi
numpy
torch
tqdm
tensorboardX
|
PyTorch/SpeechSynthesis/HiFiGAN/common/text | text | __init__ | from .cmudict import CMUDict
cmudict = CMUDict()
|
TensorFlow2/Recommendation/WideAndDeep/data/outbrain/nvtabular/utils | utils | setup | # 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 | common | 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... |
PyTorch/Forecasting/TFT/triton/deployment_toolkit/model_analyzer | model_analyzer | model_analyzer_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/LanguageModeling/BERT/official/nlp | nlp | bert_models | # 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/WideAndDeep/tests/feature_specs | feature_specs | fspec_csv | channel_spec:
label:
- clicked
map: []
multihot_categorical:
- topic_id_list
- entity_id_list
- category_id_list
numerical:
- document_id_document_id_promo_sim_categories
- document_id_document_id_promo_sim_topics
- document_id_document_id_promo_sim_entities
- document_id_promo_ctr
- publisher... |
TensorFlow2/Segmentation/Contrib/UNet3P/configs | configs | config | # project root working directory, automatically read by hydra (.../UNet3P)
WORK_DIR: ${hydra:runtime.cwd}
DATA_PREPARATION:
# unprocessed LiTS scan data paths, for custom data training skip this section details
SCANS_TRAIN_DATA_PATH: "/data/Training Batch 2/"
SCANS_VAL_DATA_PATH: "/data/Training Batch 1/"
# R... |
PyTorch/Forecasting/TFT/scripts | scripts | run_traffic | # 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/SpeechRecognition/QuartzNet/common/text/unidecoder | unidecoder | __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 appl... |
PyTorch/LanguageModeling/Transformer-XL/pytorch | pytorch | run_lm1b_base | #!/bin/bash
export OMP_NUM_THREADS=1
if [[ $1 == 'train' ]]; then
echo 'Run training...'
python train.py \
--cuda \
--data ../data/one-billion-words/ \
--dataset lm1b \
--adaptive \
--n_layer 18 \
--d_model 1024 \
--div_val 4 \
--n_head 8 \
... |
TensorFlow/Detection/SSD/models/research/slim/nets | nets | inception_resnet_v2 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... |
PyTorch/Detection/SSD/ssd | ssd | entrypoints | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | cudaUtils | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
DGLPyTorch/DrugDiscovery/SE3Transformer/scripts | scripts | train_multi_gpu | #!/usr/bin/env bash
# CLI args with defaults
BATCH_SIZE=${1:-240}
AMP=${2:-true}
NUM_EPOCHS=${3:-130}
LEARNING_RATE=${4:-0.01}
WEIGHT_DECAY=${5:-0.1}
# choices: 'mu', 'alpha', 'homo', 'lumo', 'gap', 'r2', 'zpve', 'U0', 'U', 'H', 'G', 'Cv',
# 'U0_atom', 'U_atom', 'H_atom', 'G_atom', 'A', 'B', 'C'
TASK=homo
p... |
TensorFlow2/Detection/Efficientdet/scripts/D0 | D0 | evaluate-FP32-8xV100-32G | #!/bin/bash
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... |
TensorFlow/Detection/SSD/models/research/object_detection/metrics | metrics | oid_vrd_challenge_evaluation_utils_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... |
Tools/DGLPyTorch/SyntheticGraphGeneration/scripts | scripts | time_filter_credit | # 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/VNet/examples | examples | vnet_train_and_evaluate | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
Tools/PyTorch/TimeSeriesPredictionPlatform | TimeSeriesPredictionPlatform | launch_inference_server | # 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/scripts | scripts | run_favorita | # 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 ... |
TensorFlow/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... |
TensorFlow/Segmentation/UNet_Industrial/utils | utils | hvd_utils | #!/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/SpeechRecognition/Jasper/triton | triton | speech_utils | #!/usr/bin/python
# 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
#
# ... |
PyTorch/SpeechRecognition/QuartzNet/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 ... |
PyTorch/Segmentation/nnUNet/nnunet | nnunet | nn_unet | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
TensorFlow/Classification/ConvNets/resnet50v1.5/training | training | DGX2_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... |
TensorFlow/Detection/SSD/models/research/object_detection/dataset_tools | dataset_tools | oid_tfrecord_creation | # 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/effdet/layers | layers | activations | # 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/slim/scripts | scripts | train_lenet_on_mnist | #!/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... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/utils | utils | cv2_util | # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
"""
Module for cv2 utility functions and maintaining version compatibility
between 3.x and 4.x
"""
import cv2
def findContours(*args, **kwargs):
"""
Wraps cv2.findContours to maintain compatiblity between versions
3 and 4
Returns:
... |
PyTorch/Recommendation/DLRM/dlrm/cuda_ext | cuda_ext | sparse_embedding | # 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/LanguageModeling/BERT/triton/runner | runner | exceptions | # 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/phrases | phrases | phrase_bilingual | nokia有跟facebook簽約。
讓net backup同時強化重覆刪除和資料搜尋功能。
classic仍有一定的價值。
資料代管商ball的虛擬化工具。
針對vmware虛擬化環境的基本功能。
這跟微軟bing有何關連？
由ben toyota所寫的the accidental billionaires。
v d s技術提供一個如同伺服器般的獨立操作系統環境。
專利設計通過美國f d a認證與臨床測試。
你可直接把圖片丟進wave訊息中。
由前英國陸軍軍官neil laughton領軍。
這次android版也沿用了同樣的輸入法。
facebook新註冊用戶。
現在android跟iphone都支援這項功能。
o r g的經理... |
TensorFlow/Detection/SSD/models/research/slim/nets | nets | cifarnet | # 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... |
PyTorch/SpeechSynthesis/FastPitch/fastpitch | fastpitch | attn_loss_function | # 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/LanguageModeling/BERT/triton/large/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... |
TensorFlow/Segmentation/UNet_3D_Medical/dataset | dataset | 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... |
TensorFlow2/LanguageModeling/ELECTRA | ELECTRA | gpu_affinity | # 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/trainer/optimizer | optimizer | Adagrad | # 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/WideAndDeep/tests/feature_specs | feature_specs | more_onehot | channel_spec:
label:
- clicked
map: []
multihot_categorical:
- topic_id_list
- entity_id_list
- category_id_list
numerical:
- document_id_document_id_promo_sim_categories
- document_id_document_id_promo_sim_topics
- document_id_document_id_promo_sim_entities
- document_id_promo_ctr
- publisher... |
PyTorch/Classification/GPUNet/triton/175ms/runner | runner | __main__ | # 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... |
TensorFlow2/Detection/Efficientdet/scripts/D0 | D0 | training-benchmark-AMP-A100-80G | #!/bin/bash
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... |
PyTorch/LanguageModeling/BERT/triton/dist4l/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/Classification/ConvNets/se-resnext101-32x4d/training | training | DGXA100_SE-RNxt101-32x4d_TF32_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/Translation/GNMT/seq2seq/data | data | tokenizer | # Copyright (c) 2017 Elad Hoffer
# 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 l... |
TensorFlow2/Classification/ConvNets/scripts/docker | docker | launch | #!/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 requi... |
TensorFlow/Segmentation/UNet_Industrial/scripts | scripts | UNet_AMP_1GPU_XLA | #!/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/Translation/Transformer/fairseq/modules | modules | multihead_attention | # 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.
#
#--------------------------------... |
PyTorch/Translation/Transformer/examples/translation | translation | README | # Example usage for Neural Machine Translation
These scripts provide an example of pre-processing data for the NMT task
and instructions for how to replicate the results from the paper [Scaling Neural Machine Translation (Ott et al., 2018)](https://arxiv.org/abs/1806.00187).
## Preprocessing
### prepare-iwslt14.sh
... |
PaddlePaddle/LanguageModeling/BERT/scripts/docker | docker | build | #!/bin/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
#
# Unless requi... |
PyTorch/SpeechRecognition/QuartzNet/scripts | scripts | download_librispeech | #!/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
#
# Unle... |
PyTorch/SpeechSynthesis/Tacotron2/filelists | filelists | ljs_audio_text_train_subset_625_filelist | LJSpeech-1.1/wavs/LJ040-0100.wav|she would sometimes take Lee with her, apparently leaving him alone in the car while she transacted her business.
LJSpeech-1.1/wavs/LJ011-0248.wav|Howard, strange to say, making no attempt to detain him; probably because Mullay promised to return a few days later, and to bring more mone... |
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