relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
PyTorch/LanguageModeling/Transformer-XL/pytorch | pytorch | run_text8_large | #!/bin/bash
export OMP_NUM_THREADS=1
if [[ $1 == 'train' ]]; then
echo 'Run training...'
python train.py \
--cuda \
--data ../data/text8/ \
--dataset text8 \
--n_layer 24 \
--d_model 1024 \
--n_head 8 \
--d_head 128 \
--d_inner 3072 \
--d... |
PyTorch/Recommendation/DLRM/dlrm/data | 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... |
PyTorch/SpeechRecognition/wav2vec2/wav2vec2 | wav2vec2 | criterion | # 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... |
TensorFlow/Segmentation/UNet_Industrial/scripts | scripts | UNet_AMP_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... |
PyTorch/SpeechRecognition/Jasper/common/dali | dali | iterator | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... |
PyTorch/SpeechSynthesis/HiFiGAN/platform | platform | DGX1_HiFi-GAN_AMP_8GPU | #!/bin/bash
set -a
: ${NUM_GPUS:=8}
: ${BATCH_SIZE:=16}
: ${GRAD_ACCUMULATION:=1}
: ${AMP:=true}
bash scripts/train_lj22khz.sh "$@"
|
PyTorch/Classification/ConvNets/triton | triton | convert_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... |
PyTorch/LanguageModeling/Transformer-XL | Transformer-XL | prep_text8 | #!/usr/bin/env python
# coding=utf-8
# BSD 3-Clause License
#
# Copyright (c) 2017,
# 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 copy... |
TensorFlow/Classification/ConvNets/resnet50v1.5/training | training | training_perf | #!/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_numerical | channel_spec:
label:
- clicked
map: []
multihot_categorical:
- topic_id_list
- entity_id_list
- category_id_list
numerical: []
onehot_categorical:
- ad_id
- document_id
- platform
- document_id_promo
- campaign_id
- advertiser_id
- source_id
- geo_location
- geo_location_country
- ... |
PyTorch/DrugDiscovery/MoFlow/scripts | scripts | benchmark_inference | #!/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... |
DGLPyTorch/DrugDiscovery/SE3Transformer/se3_transformer/runtime | runtime | training | # 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/LanguageModeling/BERT/official/utils/logs | logs | metric_hook_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... |
PyTorch/LanguageModeling/BART/configs | configs | config_hf_xsum | {
"_num_labels": 3,
"activation_dropout": 0.0,
"activation_function": "gelu",
"add_bias_logits": false,
"add_final_layer_norm": false,
"architectures": [
"BartForConditionalGeneration"
],
"attention_dropout": 0.0,
"bos_token_id": 0,
"classif_dropout": 0.0,
"d_model": 1024,
"decoder_attention... |
PyTorch/SpeechSynthesis/HiFiGAN/fastpitch | fastpitch | extract_mels | # 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/triton/runner | runner | 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 applic... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner/maintainer | maintainer | maintainer | # 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/model-config/tacotron2waveglow | tacotron2waveglow | config | name: "tacotron2waveglow"
platform: "custom"
default_model_filename: "libtt2i_trtis.so"
max_batch_size: 32
input [
{
name: "INPUT"
data_type: TYPE_STRING
dims: [ -1 ]
}
]
output [
{
name: "OUTPUT"
data_type: TYPE_FP32
dims: [ -1 ]
},
{
name: "OUTPUT_LENGTH"
data_type: TYPE_INT3... |
TensorFlow/Translation/GNMT/utils | utils | nmt_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... |
PyTorch/SpeechSynthesis/FastPitch/common | common | layers | # *****************************************************************************
# 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... |
DGLPyTorch/DrugDiscovery/SE3Transformer/se3_transformer/runtime | runtime | inference | # 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... |
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | ssd_mobilenet_v1_fpn_shared_box_predictor_640x640_coco14_sync | # SSD with Mobilenet v1 FPN feature extractor, shared box predictor and focal
# loss (a.k.a Retinanet).
# See Lin et al, https://arxiv.org/abs/1708.02002
# Trained on COCO, initialized from Imagenet classification checkpoint
# Achieves 29.7 mAP on COCO14 minival dataset.
# This config is TPU compatible
model {
ssd... |
PyTorch/LanguageModeling/BERT/data | data | bertPrep | # Copyright (c) 2019-2020 NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | characterMapping | /*
* 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 | ConvNets | README | # Resnet-family Convolutional Neural Networks for Image Classification in Tensorflow
In this repository you will find implementation of Resnet and its variations for image classification.
Convolutional Network models for TensorFlow1 are no longer maintained and will soon become unavailable, please consider PyTorch or ... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/tests/transcoding | transcoding | small_csv | channel_spec:
categorical:
- cat_0.bin
- cat_1.bin
- cat_2.bin
- cat_3.bin
- cat_4.bin
- cat_5.bin
label:
- label
numerical: &id001
- num_0
- num_1
- num_2
feature_spec:
cat_0.bin:
cardinality: 10
cat_1.bin:
cardinality: 23412
cat_2.bin:
cardinality: 45000
cat_3.bin:
ca... |
PyTorch/Recommendation/DLRM/preproc | preproc | DGX-A100_config | #!/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 requ... |
PyTorch/LanguageModeling/BERT | BERT | tokenization_utils | # coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
# 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.apa... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | dims5 | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
TensorFlow2/LanguageModeling/ELECTRA | ELECTRA | run_inference | # 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 applicabl... |
PyTorch/LanguageModeling/BERT | BERT | requirements | # progress bars in model download and training scripts
tqdm
# Accessing files from S3 directly.
boto3
# Used for downloading models over HTTP
requests
six
ipdb
#Data processing
h5py
nltk
#Others
onnxruntime
git+https://github.com/NVIDIA/dllogger
|
Tools/PyTorch/TimeSeriesPredictionPlatform/data | data | xgb_util | # Copyright 2022 NVIDIA Corporation
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file 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 to in writi... |
TensorFlow/LanguageModeling/BERT/data | data | WikicorpusTextFormatting | # 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/runner/maintainer | maintainer | maintainer | # 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/scripts/docker | docker | interactive | #!/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/Detection/Efficientdet/efficientnet/blocks | blocks | conv2d_block | import tensorflow as tf
from typing import Any, Dict, Optional, Text, Tuple
from model import normalization_builder
__all__ = ['conv2d_block']
CONV_KERNEL_INITIALIZER = {
'class_name': 'VarianceScaling',
'config': {
'scale': 2.0,
'mode': 'fan_in',
# Note: this is a truncated normal di... |
TensorFlow/Segmentation/VNet | VNet | export | # 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/SpeechRecognition/Jasper/triton/scripts | scripts | run_client | #!/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 ... |
TensorFlow/Segmentation/UNet_Industrial | UNet_Industrial | requirements | git+https://github.com/NVIDIA/dllogger#egg=dllogger |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/utils | utils | logger | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import logging
import os
import sys
def setup_logger(name, save_dir, distributed_rank):
logger = logging.getLogger(name)
logger.setLevel(logging.DEBUG)
# don't log results for the non-master process
if distributed_rank > 0:
... |
TensorFlow/Detection/SSD/models/research/object_detection | object_detection | export_tflite_ssd_graph_lib | # 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/core | core | matcher_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/data | data | oid_object_detection_challenge_500_label_map | item {
name: "/m/061hd_"
id: 1
display_name: "Infant bed"
}
item {
name: "/m/06m11"
id: 2
display_name: "Rose"
}
item {
name: "/m/03120"
id: 3
display_name: "Flag"
}
item {
name: "/m/01kb5b"
id: 4
display_name: "Flashlight"
}
item {
name: "/m/0120dh"
id: 5
display_name: "Sea turtle"
}
item... |
PyTorch/Segmentation/MaskRCNN/pytorch/configs | configs | e2e_mask_rcnn_R_50_FPN_1x_bs32 | 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/Translation/GNMT/seq2seq/data | data | sampler | # Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, co... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | engineCache | /*
* 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... |
.github/ISSUE_TEMPLATE | ISSUE_TEMPLATE | bug_report | ---
name: Bug report
about: Create a report to help us improve
title: "[Model/Framework] What is the problem?"
labels: bug
assignees: ''
---
Related to **Model/Framework(s)**
*(e.g. GNMT/PyTorch or FasterTransformer/All)*
**Describe the bug**
A clear and concise description of what the bug is.
**To Reproduce**
Ste... |
PyTorch/Detection/Efficientdet/effdet | effdet | evaluator | # 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/DLRM_and_DCNv2/deployment/tf | tf | deploy_monolithic | # 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/BERT/triton/large/runner | runner | start_NVIDIA-A30 | # 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/trtis | trtis | CustomOutputWriter | /*
* 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/distillation | distillation | hooks | # coding=utf-8
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... |
PyTorch/Segmentation/MaskRCNN/pytorch/scripts | scripts | train | #!/bin/bash
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#8 V100/A100 x 12 batch_per_gpu
GPU=8
CONFIG='configs/e2e_mask_rcnn_R_50_FPN_1x.yaml'
RESULTS='/results'
LOGFILE="$RESULTS/joblog.log"
if ! [ -d "$RESULTS" ]; then mkdir $RESULTS; fi
#Use a different argument with DATASET.TRAIN to use your o... |
TensorFlow/LanguageModeling/BERT | BERT | optimization | # 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... |
PyTorch/Forecasting/TFT | TFT | ema | # Copyright 2021-2022 NVIDIA CORPORATION
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file 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 to in ... |
PyTorch/Segmentation/nnUNet/triton | triton | model | from nnunet.nn_unet import NNUnet
def get_model(*, checkpoint_dir: str, precision: str, data_dir: str):
model = NNUnet.load_from_checkpoint(checkpoint_dir, data_dir=data_dir, triton=True, strict=False)
model = model.cuda()
if "fp16" in precision:
model = model.half()
model.eval()
tensor_na... |
PyTorch/Detection/Efficientdet/data | data | transforms | """ COCO transforms (quick and dirty)
Hacked together by Ross Wightman
"""
# 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
#
#... |
PyTorch/SpeechRecognition/QuartzNet | QuartzNet | nemo_dle_model_converter | import argparse
import io
import sys
from copy import deepcopy
from functools import reduce
from pathlib import Path
from subprocess import CalledProcessError, check_output
import torch
import yaml
import quartznet.config
from common import helpers
from common.features import FilterbankFeatures
from quartznet.config ... |
PyTorch/LanguageModeling/Transformer-XL/pytorch | pytorch | run_text8_base | #!/bin/bash
export OMP_NUM_THREADS=1
if [[ $1 == 'train' ]]; then
echo 'Run training...'
python train.py \
--cuda \
--data ../data/text8/ \
--dataset text8 \
--n_layer 12 \
--d_model 512 \
--n_head 8 \
--d_head 64 \
--d_inner 2048 \
--dro... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/utils | utils | distributed | # 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 | nnUNet | evaluate | # 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/Recommendation/DLRM/tests/feature_specs | feature_specs | 20_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/utils | utils | category_util_test | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
Tools/PyTorch/TimeSeriesPredictionPlatform/training | training | checkpoint_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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt | tft_pyt | configuration | # 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/Classification/ConvNets/runtime | runtime | __init__ | from runtime.runner import Runner |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/engine | engine | __init__ | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
|
TensorFlow/Segmentation/VNet/model | model | vnet | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/LanguageModeling/BERT/data | data | create_datasets_from_start | #!/bin/bash
# Copyright (c) 2019-2020 NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless req... |
TensorFlow2/Classification/ConvNets/efficientnet_v1/B0/training/AMP | AMP | train_benchmark_8xV100-32G | # 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... |
PyTorch/SpeechRecognition/QuartzNet/scripts/docker | docker | build | #!/bin/bash
docker build . --rm -t quartznet
|
PyTorch/SpeechRecognition/Jasper/configs | configs | jasper10x5dr_speedp-offline_speca | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/LanguageModeling/BERT/biobert/scripts | scripts | ner_bc5cdr-chem | #!/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:-3.125e-6}
cased=${4:-false}
precision=${5:-"fp16"}
use_xla=${6:-"true"}
num_gpu=${7:-"16"}
seq_length=${8:-128}
bert_model=${9:-"base"}
eval_bat... |
Tools/PyTorch/TimeSeriesPredictionPlatform/examples | examples | hp_search_distributed | /# 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/HiFiGAN/scripts | scripts | download_cmudict | #!/usr/bin/env bash
set -e
: ${CMUDICT_DIR:="data/cmudict"}
if [ ! -f $CMUDICT_DIR/cmudict-0.7b ]; then
echo "Downloading cmudict-0.7b ..."
wget https://github.com/Alexir/CMUdict/raw/master/cmudict-0.7b -qO $CMUDICT_DIR/cmudict-0.7b
fi
|
PyTorch/LanguageModeling/Transformer-XL | Transformer-XL | getdata | # BSD 3-Clause License
#
# Copyright (c) 2017,
# 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... |
TensorFlow2/Recommendation/WideAndDeep/data/outbrain | outbrain | defaults | # 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... |
PyTorch/LanguageModeling/BERT/triton/large/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... |
TensorFlow/Detection/SSD/models/research/slim/scripts | scripts | finetune_resnet_v1_50_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... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/waveglow | waveglow | waveGlowLoader | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
TensorFlow/LanguageModeling/BERT/utils | utils | create_pretraining_data | # 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... |
PyTorch/Segmentation/nnUNet/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... |
PyTorch/LanguageModeling/BERT/triton | triton | run_inference_on_fw | #!/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... |
TensorFlow/LanguageModeling/BERT/triton/scripts | scripts | wait_for_triton_server | #!/bin/bash
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/benchmark/models/layers | layers | score_predictor | # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/Detection/SSD | SSD | .gitignore | **/*.swp
|
PyTorch/LanguageModeling/BERT | BERT | bind | # 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 applicabl... |
PyTorch/SpeechRecognition/QuartzNet/quartznet | quartznet | model | # 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 ... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner/maintainer/docker/containers | containers | __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... |
PyTorch/LanguageModeling/BERT/lamb_amp_opt/csrc | csrc | frontend | #include <torch/extension.h>
std::tuple<at::Tensor, at::Tensor> multi_tensor_l2norm_cuda(
int chunk_size,
at::Tensor noop_flag,
std::vector<std::vector<at::Tensor>> tensor_lists,
at::optional<bool> per_tensor_python);
void multi_tensor_lamb_cuda(
int chunk_size,
at::Tensor noop_flag,
std::vector<std::ve... |
PyTorch/Forecasting/TFT/triton/runner | runner | finalizer | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
PyTorch/SpeechSynthesis/FastPitch/phrases | phrases | phrase_4_64 | She sells seashells by the seashore, shells she sells are great
She sells seashells by the seashore, shells she sells are great
She sells seashells by the seashore, shells she sells are great
She sells seashells by the seashore, shells she sells are great
|
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | exp_utils | # 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... |
TensorFlow/Segmentation/UNet_Industrial/notebooks | notebooks | Colab_UNet_Industrial_TF_TFHub_export | #!/usr/bin/env python
# coding: utf-8
# <a href="https://colab.research.google.com/github/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Industrial/notebooks/Colab_UNet_Industrial_TF_TFHub_export.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open... |
TensorFlow2/LanguageModeling/BERT/official/utils/export | export | export | # 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/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/plugins/taco2ModulationRemovalPlugin | taco2ModulationRemovalPlugin | taco2ModulationRemovalKernel | /*
* 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/Recommendation/WideAndDeep/scripts | scripts | DGX1_benchmark_training_fp32_1gpu | #!/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/tests/feature_specs | feature_specs | 13_num_10_cat | 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
label:
- label
numerical: &id001
- num_0
- num_1
- num_2
- num_3
- num_4
- num_5
- num_6
- num_7
- num_8
- num_9
- num_10
... |
TensorFlow/Classification/ConvNets/dataprep | dataprep | imagewoof_synsets | n02086240
n02087394
n02088364
n02089973
n02093754
n02096294
n02099601
n02105641
n02111889
n02115641
|
TensorFlow2/Recommendation/DLRM_and_DCNv2/tensorflow-dot-based-interact/tensorflow_dot_based_interact/cc/kernels/cuda_kernels | cuda_kernels | dot_based_interact_fp16 | // 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 ... |
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