relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
TensorFlow/Segmentation/UNet_Industrial/scripts | scripts | UNet_EVAL | #!/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/Classification/ConvNets/triton/scripts | scripts | setup_parameters | #!/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/SpeechRecognition/wav2vec2/common/fairseq/optim | optim | fused_lamb | # 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... |
PyTorch/LanguageModeling/BERT/data | data | NVIDIAPretrainedWeightDownloader | # 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/Translation/GNMT | GNMT | block_lstm | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow/Detection/SSD/models/research/slim/nets/nasnet | nasnet | nasnet_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 applicable ... |
TensorFlow/Detection/SSD/models/research/object_detection/dataset_tools | dataset_tools | tf_record_creation_util | # 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_mobilenet_v1_fpn_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/Classification/ConvNets/resnext101-32x4d/training | training | DGX1_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 | download_dataset | #!/usr/bin/env bash
set -e
DATA_BASE_DIR="data"
DATA_DIR="${DATA_BASE_DIR}/LJSpeech-1.1"
LJS_ARCH_NAME="LJSpeech-1.1.tar.bz2"
LJS_ARCH="${DATA_BASE_DIR}/${LJS_ARCH_NAME}"
LJS_URL="http://data.keithito.com/data/speech/${LJS_ARCH_NAME}"
if [ ! -d ${DATA_DIR} ]; then
echo "Downloading ${LJS_ARCH} ..."
wget -q ${LJS... |
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | ssd_mobilenet_v1_300x300_coco14_sync | # SSD with Mobilenet v1 feature extractor and focal loss.
# Trained on COCO14, initialized from Imagenet classification checkpoint
# Achieves 20.5 mAP on COCO14 minival dataset.
# This config is TPU compatible
model {
ssd {
inplace_batchnorm_update: true
freeze_batchnorm: false
num_classes: 90
box_... |
TensorFlow2/Classification/ConvNets/efficientnet_v1/B4/evaluation | evaluation | evaluation_AMP_V100-32G | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
JAX/LanguageModeling | LanguageModeling | README | # Language Modeling
Language modeling (LM) is a natural language processing (NLP) task that determines the probability of a given sequence of words occurring in a sentence.
In an era where computers, smartphones and other electronic devices increasingly need to interact with humans, language modeling has become an i... |
TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/utils | utils | dllogger | # 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... |
MxNet/Classification/RN50v1.5 | RN50v1.5 | data | # 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton/deployment_toolkit/bermuda | bermuda | 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 required by a... |
TensorFlow2/LanguageModeling/BERT/official/nlp/transformer | transformer | model_utils | # 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/platform | platform | DGXA100_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
|
TensorFlow/Segmentation/UNet_3D_Medical/dataset | dataset | transforms | # 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/BERT/scripts | scripts | data_download | #!/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/datasets | datasets | flowers | # 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/SpeechSynthesis/Tacotron2/scripts | scripts | prepare_dataset | #!/usr/bin/env bash
set -e
DATADIR="LJSpeech-1.1"
BZ2ARCHIVE="${DATADIR}.tar.bz2"
ENDPOINT="http://data.keithito.com/data/speech/$BZ2ARCHIVE"
if [ ! -d "$DATADIR" ]; then
echo "dataset is missing, unpacking ..."
if [ ! -f "$BZ2ARCHIVE" ]; then
echo "dataset archive is missing, downloading ..."
wget "$END... |
PyTorch/SpeechRecognition/Jasper/scripts | scripts | inference_benchmark | #!/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 requi... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/deployment/deployment_toolkit | deployment_toolkit | 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... |
TensorFlow2/Segmentation/UNet_Medical/runtime | runtime | parse_results | # 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/triton/deployment_toolkit/triton_inference_runner | triton_inference_runner | grpc | # 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/triton | triton | jasper_module | # *****************************************************************************
# 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/metrics | metrics | oid_vrd_challenge_evaluation_utils | # 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/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/layers | layers | nms | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# from ._utils import _C
from maskrcnn_benchmark import _C
from torch.cuda.amp import custom_fwd
# Only valid with fp32 inputs - give AMP the hint
nms = custom_fwd(_C.nms)
# nms.__do... |
PyTorch/SpeechRecognition/Jasper | Jasper | requirements | inflect==5.3.0
ipdb
librosa==0.9.0
pandas==1.5.2
pyyaml>=5.4
soundfile
sox==1.4.1
tqdm==4.53.0
git+https://github.com/NVIDIA/dllogger@v1.0.0#egg=dllogger
|
TensorFlow/Detection/SSD/models/research/object_detection/models | models | faster_rcnn_nas_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/SpeechSynthesis/Tacotron2/notebooks/conversationalai/client/speech_ai_demo/utils/bert | bert | tokenization | # coding=utf-8
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# Copyright 2018 The Google AI Language Team Authors and The HugginFace Inc. team.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of ... |
PyTorch/SpeechRecognition/Jasper/platform | platform | DGXA100_Jasper_TF32_8GPU | #!/bin/bash
NUM_GPUS=8 BATCH_SIZE=64 GRAD_ACCUMULATION_STEPS=2 bash scripts/train.sh "$@"
|
PyTorch/SpeechSynthesis/FastPitch/common/text/zh | zh | chinese | # *****************************************************************************
# Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistribu... |
TensorFlow2/Segmentation/nnUNet | nnUNet | .gitignore | # Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$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
MANIFEST
# PyInstaller
# Usually these file... |
PyTorch/SpeechSynthesis/HiFiGAN | HiFiGAN | requirements | inflect
librosa==0.9.0
numpy
pandas
pynvml==11.0.0
pysoundfile
scipy
tensorboardX==2.0
git+https://github.com/NVIDIA/dllogger@v1.0.0#egg=dllogger
|
PyTorch/SpeechRecognition/wav2vec2/wav2vec2 | wav2vec2 | utils | # 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.
# Copyright (c) 2023, NVIDIA CORPO... |
PyTorch/Detection/Efficientdet/effdet/layers | layers | activations_jit | # 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/Detection/Efficientdet/effdet | effdet | anchors | """ RetinaNet / EfficientDet Anchor Gen
Adapted for PyTorch from Tensorflow impl at
https://github.com/google/automl/blob/6f6694cec1a48cdb33d5d1551a2d5db8ad227798/efficientdet/anchors.py
Hacked together by Ross Wightman, original copyright below
"""
# Copyright 2020 Google Research. All Rights Reserved.
#
# Licen... |
PyTorch/SpeechRecognition/wav2vec2/common | common | sampler | # 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/Classification/ConvNets/dataprep | dataprep | preprocess_imagenet_validation_data | #!/usr/bin/python
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
PyTorch/Recommendation/NCF/data/ml-20m | ml-20m | feature_spec_template | feature_spec:
user:
dtype: torch.int64
cardinality: 138493
item:
dtype: torch.int64
cardinality: 26744
label:
dtype: torch.float32
metadata:
test_samples_per_series: 101
source_spec:
train:
- type: torch_tensor
features:
# For torch_tensor, each line corresponds to a co... |
TensorFlow/Recommendation/VAE-CF/vae/metrics | metrics | recall | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
TensorFlow/Classification/ConvNets/resnet50v1.5 | resnet50v1.5 | inference_benchmark | #!/bin/bash
DATA_DIR=${1:-"/data/tfrecords"}
DALI_DIR=${2}
BATCH_SIZE_TO_TEST="1 2 4 8 16 32 64 128 256"
INFERENCE_BENCHMARK=$(mktemp /tmp/inference-benchmark.XXXXXX)
function test_configuration() {
echo "Testing configuration: $1" | tee -a $INFERENCE_BENCHMARK
for BATCH in $BATCH_SIZE_TO_TEST; do
p... |
CUDA-Optimized/FastSpeech/waveglow | waveglow | data_function | # *****************************************************************************
# 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/Segmentation/MaskRCNN/pytorch/configs/cityscapes | cityscapes | e2e_faster_rcnn_R_50_FPN_1x_cocostyle | 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/Classification/ConvNets/efficientnet/training/FP32 | FP32 | DGX1V-16G_efficientnet-widese-b0_FP32 | python ./multiproc.py --nproc_per_node 8 ./launch.py --model efficientnet-widese-b0 --precision FP32 --mode convergence --platform DGX1V-16G /imagenet --workspace ${1:-./} --raport-file raport.json
|
TensorFlow2/Detection/Efficientdet/object_detection | object_detection | faster_rcnn_box_coder | # Copyright 2020 Google Research. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... |
PyTorch/Translation/GNMT | GNMT | train | #!/usr/bin/env python
# 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 restricti... |
TensorFlow2/Detection/Efficientdet/scripts/D0 | D0 | training-benchmark-AMP-V100-32G | #!/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... |
PaddlePaddle/Classification/RN50v1.5 | RN50v1.5 | README | # ResNet50 v1.5 For PaddlePaddle
This repository provides a script and recipe to train the ResNet50 model to
achieve state-of-the-art accuracy. The content of this repository is tested and maintained by NVIDIA.
## Table Of Contents
* [Model overview](#model-overview)
* [Default configuration](#default-configuratio... |
PyTorch/Forecasting/TFT/triton/runner | runner | start_NVIDIA-DGX-1-(1x-V100-32GB) | # 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/Recommendation | Recommendation | README | # Recommender Systems
Recommender systems are a type of information filtering system that seeks to predict the
"rating" or "preference" a user would give to an item. (Source:
[Wikipedia](https://en.wikipedia.org/wiki/Recommender_system))
In an era where users have to navigate through an exponentially growing number ... |
TensorFlow/Detection/SSD/models/research/slim/datasets | datasets | imagenet_metadata | n00004475 organism, being
n00005787 benthos
n00006024 heterotroph
n00006484 cell
n00007846 person, individual, someone, somebody, mortal, soul
n00015388 animal, animate being, beast, brute, creature, fauna
n00017222 plant, flora, plant life
n00021265 food, nutrient
n00021939 artifact, artefact
n00120010 hop
n00141669 c... |
PyTorch/Detection/SSD/examples | examples | SSD300_FP32_8GPU | # This script launches SSD300 training in FP32 on 8 GPUs using 256 batch size (32 per GPU)
# Usage ./SSD300_FP32_8GPU.sh <path to this repository> <path to dataset> <additional flags>
torchrun --nproc_per_node=8 $1/main.py --backbone resnet50 --warmup 300 --bs 32 --no-amp --data-layout channels_first --data $2 ${@:3}
|
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt | tft_pyt | README | # Temporal Fusion Transformer For PyTorch
This repository provides a script and recipe to train the Temporal Fusion Transformer model to achieve state-of-the-art accuracy. The content of this repository is tested and maintained by NVIDIA.
## Table Of Contents
- [Model overview](#model-overview)
* [Model architec... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | test_utils_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/Segmentation/UNet_Industrial | UNet_Industrial | main | # !/usr/bin/env python
# -*- coding: utf-8 -*-
# ==============================================================================
#
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the ... |
PyTorch/SpeechRecognition/Jasper/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 ... |
PyTorch/Segmentation/nnUNet/triton/scripts | scripts | setup_parameters | #!/usr/bin/env bash
# Copyright (c) 2021 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... |
TensorFlow/Detection/SSD/models/research/object_detection/dataset_tools | dataset_tools | create_kitti_tf_record_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/slim/preprocessing | preprocessing | vgg_preprocessing | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/trainer/criterion | criterion | GLL | # 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 ... |
TensorFlow/Detection/SSD/models/research/object_detection/predictors/heads | heads | keras_box_head | # 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... |
PaddlePaddle/LanguageModeling/BERT/data | data | WikiDownloader | # 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/tensorrt | tensorrt | run_latency_tests_trt | bash test_infer.sh --test tensorrt/test_infer_trt.py -bs 1 -il 128 --fp16 --num-iters 1003 --encoder ./output/encoder_fp16.engine --decoder ./output/decoder_iter_fp16.engine --postnet ./output/postnet_fp16.engine --waveglow ./output/waveglow_fp16.engine
|
PyTorch/LanguageModeling/BERT/triton | triton | 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/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton | triton | dataloader | import os
import numpy as np
import torch
from torch.utils.data import DataLoader
from data_utils import TFTDataset
def update_argparser(parser):
parser.add_argument("--dataset", type=str, help="Path to dataset to be used", required=True)
parser.add_argument("--checkpoint", type=str, help="Path to checkpoint t... |
PaddlePaddle/LanguageModeling/BERT/data | data | WikicorpusTextFormatting | # 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/ConvNets/triton | triton | config_model_on_triton | #!/usr/bin/env python3
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... |
TensorFlow/LanguageModeling/Transformer-XL/tf | tf | main | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import math
import time
from absl import flags
import absl.logging as _logging # pylint: disable=unused-import
import tensorflow as tf
import horovod.tensorflow as hvd
import model
import data_util... |
PyTorch/SpeechSynthesis/Tacotron2/platform | platform | DGX1_tacotron2_AMP_1NGPU_train | mkdir -p output
python train.py -m Tacotron2 -o output/ --amp -lr 1e-3 --epochs 1501 -bs 104 --weight-decay 1e-6 --grad-clip-thresh 1.0 --cudnn-enabled --load-mel-from-disk --training-files=filelists/ljs_mel_text_train_filelist.txt --validation-files=filelists/ljs_mel_text_val_filelist.txt --log-file nvlog.json --annea... |
TensorFlow2/Classification/ConvNets/efficientnet_v2/S/training/FP32 | FP32 | convergence_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... |
TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection | object_detection | tf_example_decoder | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow/Segmentation/UNet_Industrial/runtime | runtime | __init__ | #!/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/research/object_detection/metrics | metrics | tf_example_parser_test | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/LanguageModeling/BERT/triton/runner | runner | runner | # 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/Jasper/common | common | utils | import numpy as np
class BenchmarkStats:
""" Tracks statistics used for benchmarking. """
def __init__(self):
self.utts = []
self.times = []
self.losses = []
def update(self, utts, times, losses):
self.utts.append(utts)
self.times.append(times)
self.losses.... |
TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model/models | models | heads | # 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... |
TensorFlow2/Recommendation/WideAndDeep/triton/runner | runner | experiment | # 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/trtis_cpp/src/test | test | DataShuffler_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... |
TensorFlow2/LanguageModeling/BERT/official/modeling/hyperparams | hyperparams | params_dict_test | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/LanguageModeling/BERT/triton/dist6l/runner | runner | prepare_datasets | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | object_detection_evaluation_test | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow/Classification/ConvNets/triton/deployment_toolkit | deployment_toolkit | extensions | # 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/configs | configs | quartznet15x5_speedp-online-1.15_speca_drop0.2 | # 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/Segmentation/MaskRCNN/pytorch/configs/caffe2 | caffe2 | e2e_mask_rcnn_R_50_FPN_1x_caffe2 | MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://Caffe2Detectron/COCO/35858933/e2e_mask_rcnn_R-50-FPN_1x"
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_T... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/tests/feature_specs | feature_specs | criteo_f15 | 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
... |
PyTorch/Forecasting/TFT/triton/runner | runner | pipeline_impl | # 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/Detection/Efficientdet/model | model | normalization_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... |
PyTorch/SpeechSynthesis/Tacotron2/filelists | filelists | ljs_mel_text_train_subset_1250_filelist | LJSpeech-1.1/mels/LJ040-0100.pt|she would sometimes take Lee with her, apparently leaving him alone in the car while she transacted her business.
LJSpeech-1.1/mels/LJ011-0248.pt|Howard, strange to say, making no attempt to detain him; probably because Mullay promised to return a few days later, and to bring more money.... |
PyTorch/SpeechSynthesis/Tacotron2/tacotron2_common | tacotron2_common | audio_processing | # *****************************************************************************
# 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/waveglow | waveglow | loss_function | # *****************************************************************************
# 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/Recommendation/DLRM/preproc | preproc | NVT_shuffle_spark | # 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/filelists | filelists | ljs_mel_text_test_filelist | LJSpeech-1.1/mels/LJ045-0096.pt|Mrs. De Mohrenschildt thought that Oswald,
LJSpeech-1.1/mels/LJ049-0022.pt|The Secret Service believed that it was very doubtful that any President would ride regularly in a vehicle with a fixed top, even though transparent.
LJSpeech-1.1/mels/LJ033-0042.pt|Between the hours of eight and ... |
PyTorch/Segmentation/MaskRCNN/pytorch/scripts | scripts | train_benchmark | #!/bin/bash
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#1x8x4 DGX1V - 1 epoch of training
GPU=$2
GLOBAL_BATCH=$((12 * $2))
CONFIG='configs/e2e_mask_rcnn_R_50_FPN_1x.yaml'
RESULTS='/results'
LOGFILE="$RESULTS/joblog.log"
DTYPE="$1"
NHWC=$3
if ! [ -d "$RESULTS" ]; then mkdir $RESULTS; fi
python -m ... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/csrc | csrc | vision | /**
* 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
*
* Unless require... |
TensorFlow2/Recommendation/WideAndDeep/trainer/model | model | widedeep | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
TensorFlow2/Recommendation/WideAndDeep/triton/runner | runner | __init__ | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
PyTorch/Segmentation/MaskRCNN/pytorch/configs/gn_baselines | gn_baselines | scratch_e2e_faster_rcnn_R_50_FPN_Xconv1fc_3x_gn | INPUT:
MIN_SIZE_TRAIN: 800
MAX_SIZE_TRAIN: 1333
MIN_SIZE_TEST: 800
MAX_SIZE_TEST: 1333
MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "" # no pretrained model
BACKBONE:
CONV_BODY: "R-50-FPN"
OUT_CHANNELS: 256
FREEZE_CONV_BODY_AT: 0 # finetune all layers
RESNETS: # use GN for backbone
... |
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