relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
PyTorch/LanguageModeling/BERT/data | data | __init__ | # Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/tacotron2 | tacotron2 | decoderInstancePlugins | /*
* 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/Tacotron2/trtis_cpp/src/trt/util | util | layerData | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
Tools/DGLPyTorch/SyntheticGraphGeneration/configurations | configurations | epinions | {
"nodes": [
{
"name": "user",
"count": 49289,
"features": [],
"features_path": null
},
{
"name": "item",
"count": 139738,
"features": [],
"features_path": null
}
],
"edges": [
... |
PyTorch/SpeechRecognition/wav2vec2/common | common | filter_warnings | # 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/Recommendation/WideAndDeep | WideAndDeep | requirements | # 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/triton | triton | README | # Deploying the ResNet-50 v1.5 model on Triton Inference Server
This folder contains instructions for deployment to run inference
on Triton Inference Server as well as a detailed performance analysis.
The purpose of this document is to help you with achieving
the best inference performance.
## Table of contents
- ... |
TensorFlow2/Segmentation/UNet_Medical/runtime | runtime | run | # 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/data | data | oid_bbox_trainable_label_map | item {
name: "/m/01g317"
id: 1
display_name: "Person"
}
item {
name: "/m/09j2d"
id: 2
display_name: "Clothing"
}
item {
name: "/m/04yx4"
id: 3
display_name: "Man"
}
item {
name: "/m/0dzct"
id: 4
display_name: "Face"
}
item {
name: "/m/07j7r"
id: 5
display_name: "Tree"
}
item {
name: "/m/... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/generator/tabular/transforms | transforms | __init__ | # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/SpeechSynthesis/Tacotron2/waveglow | waveglow | 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... |
TensorFlow2/LanguageModeling/BERT/official/nlp/modeling/layers | layers | position_embedding_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/lamb_amp_opt/csrc | csrc | multi_tensor_l2norm_kernel | #include <ATen/ATen.h>
#include <ATen/AccumulateType.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/cuda/Exceptions.h>
#include <c10/cuda/CUDAGuard.h>
// Another possibility:
// #include <torch/all.h>
#include <assert.h>
#include "type_shim.h"
#include "multi_tensor_apply.cuh"
#define BLOCK_SIZE 512
#define IL... |
PyTorch/Classification/ConvNets/image_classification/models | models | efficientnet | import argparse
import random
import math
import warnings
from typing import List, Any, Optional
from collections import namedtuple, OrderedDict
from dataclasses import dataclass, replace
import torch
from torch import nn
from functools import partial
try:
from pytorch_quantization import nn as quant_nn
from ... |
PyTorch/SpeechSynthesis/FastPitch/triton | triton | README | # Deploying the FastPitch model on Triton Inference Server
This folder contains instructions for deployment to run inference
on Triton Inference Server as well as a detailed performance analysis.
The purpose of this document is to help you with achieving
the best inference performance.
## Table of contents
- [Solu... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/dataloading | dataloading | __init__ | # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/SpeechSynthesis/FastPitch/common | common | 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 ... |
PyTorch/LanguageModeling/Transformer-XL/pytorch/utils | utils | proj_adaptive_softmax | # 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... |
TensorFlow2/Recommendation/SIM/sim/data | data | feature_spec | # 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... |
PaddlePaddle/Classification/RN50v1.5/utils | utils | cuda_bind | # Copyright (c) 2022 NVIDIA Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/Detection/SSD/models/research/object_detection/legacy | legacy | trainer_test | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/Classification/ConvNets/efficientnet/quantization | quantization | DGX1V-32G_efficientnet-quant-b0_FP32 | python ./multiproc.py \
--nproc_per_node 8 \
./quant_main.py /imagenet \
--arch efficientnet-quant-b0 \
--epochs 10 \
-j5 -p 500 \
--data-backend pytorch \
--optimizer sgd \
-b 128 \
--lr 0.0125 \
--momentum ... |
PyTorch/SpeechRecognition/Jasper/triton | triton | tensorrt_io_props_fp32 | {"input_shapes": [[-1, 64, -1]], "output_shapes": [[-1, -1, 29]], "input_types": ["TYPE_FP32"], "output_types": ["TYPE_FP32"], "input_names": ["input__0"], "output_names": ["output__0"], "dynamic_axes": {"input__0": [0, 2], "output__0": [0, 1]}, "min_shapes": [[1, 64, 200]], "opt_shapes": [[8, 64, 704]], "max_shapes": ... |
TensorFlow2/Recommendation/SIM/sim/models | models | din_model | # Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
TensorFlow/Detection/SSD/models/research/object_detection/builders | builders | preprocessor_builder_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... |
JAX/Classification/ViT | ViT | README | # ViT on GPUs
Please refer to [Rosetta ViT](https://github.com/NVIDIA/JAX-Toolbox/tree/main/rosetta/rosetta/projects/vit), NVIDIA's project that enables seamless training of LLMs, CV models and multimodal models in JAX, for information about running Vision Transformer models and experiments on GPUs.
|
TensorFlow2/Recommendation/WideAndDeep | WideAndDeep | transcode | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/LanguageModeling/BERT/official/nlp/modeling/networks | networks | __init__ | # 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/Translation | Translation | README | # Machine Translation
Machine Translation is the task of translation text from one language to another. Simply replacing one word with it's equivalent in another language rarely produces a semantically meaningful translation, because that may not account for the phrase-level meaning at all. A good machine translation ... |
PyTorch/SpeechRecognition/wav2vec2/common | common | features | # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/Classification/ConvNets/se-resnext101-32x4d | se-resnext101-32x4d | inference_benchmark | #!/bin/bash
DATA_DIR=${1:-"/data/tfrecords"}
DALI_DIR=${2}
BATCH_SIZE_TO_TEST="1 2 4 8 16 32 64 128"
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
pytho... |
TensorFlow2/Detection/Efficientdet/efficientnet | efficientnet | common_modules | # 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/Recommendation/WideAndDeep/trainer | trainer | task | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/SpeechSynthesis/FastPitch/filelists | filelists | ljs_audio_pitch_text_val | wavs/LJ016-0288.wav|pitch/LJ016-0288.pt|"Müller, Müller, He's the man," till a diversion was created by the appearance of the gallows, which was received with continuous yells.
wavs/LJ028-0275.wav|pitch/LJ028-0275.pt|At last, in the twentieth month,
wavs/LJ019-0273.wav|pitch/LJ019-0273.pt|which Sir Joshua Jebb told the... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/hydra/callbacks | callbacks | merge_logs | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... |
TensorFlow2/LanguageModeling | 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/Recommendation/WideAndDeep/trainer/utils | utils | schedulers | # 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... |
DGLPyTorch/DrugDiscovery/SE3Transformer/tests | tests | test_equivariance | # 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 | BERT | README | # BERT 1.0 for TensorFlow 2
This repository provides a script and recipe to train the BERT
model for TensorFlow 2 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 ... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/trainer/optimizer | optimizer | Adam | # 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/Classification/ConvNets/efficientnet_v1/B4/evaluation | evaluation | evaluation_AMP_A100-80G | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/Classification/ConvNets/resnet50v1.5/training/FP32 | FP32 | DGX1V_resnet50_FP32_90E | python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision FP32 --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
|
PyTorch/Forecasting/TFT/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... |
TensorFlow/Translation/GNMT/examples | examples | DGXA100_AMP_8GPU | python nmt.py --output_dir=results --batch_size=1024 --learning_rate=2e-3 --num_gpus=8 --amp
|
TensorFlow2/LanguageModeling/BERT/scripts | scripts | run_pretraining_adam | #! /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/Recommendation/DLRM/dlrm/utils/checkpointing | checkpointing | 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 appli... |
PyTorch/SpeechRecognition/Jasper/utils | utils | preprocessing_utils | # 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/SpeechSynthesis/Tacotron2/notebooks/conversationalai/client/speech_ai_demo/utils/tacotron2 | tacotron2 | __init__ | """ from https://github.com/keithito/tacotron """
import re
from utils.tacotron2 import cleaners
from utils.tacotron2.symbols import symbols
# Mappings from symbol to numeric ID and vice versa:
_symbol_to_id = {s: i for i, s in enumerate(symbols)}
_id_to_symbol = {i: s for i, s in enumerate(symbols)}
# Regular expre... |
PyTorch/DrugDiscovery/MoFlow | MoFlow | README | # MoFlow For PyTorch
This repository provides a script and recipe to train the MoFlow 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 architecture](#model-architecture)
* [Default ... |
JAX/Classification | Classification | README | # Image Classification
Image classification is the task of categorizing an image into one of several predefined classes, often also giving a probability of the input belonging to a certain class. This task is crucial in understanding and analyzing images, and it comes quite effortlessly to human beings with our comple... |
PyTorch/Recommendation/DLRM/dlrm/scripts | scripts | main | # Copyright (c) 2021 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
TensorFlow2/LanguageModeling/BERT/data | data | WikiDownloader | # 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/SpeechSynthesis/FastPitch/common/text | text | datestime | import re
_ampm_re = re.compile(
r'([0-9]|0[0-9]|1[0-9]|2[0-3]):?([0-5][0-9])?\s*([AaPp][Mm]\b)')
def _expand_ampm(m):
matches = list(m.groups(0))
txt = matches[0]
txt = txt if int(matches[1]) == 0 else txt + ' ' + matches[1]
if matches[2][0].lower() == 'a':
txt += ' a.m.'
elif matche... |
PyTorch/LanguageModeling/BERT/triton/runner | runner | experiment | # 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/tensorrt | tensorrt | convert_waveglow2onnx | # *****************************************************************************
# 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... |
TensorFlow/Detection/SSD/models/research/slim/scripts | scripts | train_cifarnet_on_cifar10 | #!/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/LanguageModeling/BART/bart/tokenization | tokenization | tokenization_utils | # coding=utf-8
# Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved.
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apa... |
TensorFlow2/LanguageModeling/BERT/official/utils/accelerator | accelerator | tpu | # 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 | trtis_cpp | 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... |
PyTorch/Classification/ConvNets | ConvNets | checkpoint2model | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law... |
PyTorch/Translation/Transformer/fairseq/data/csrc | csrc | make_batches | // 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/triton | triton | run_offline_performance_test_on_triton | #!/usr/bin/env python3
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/utils | utils | comm | # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
"""
This file contains primitives for multi-gpu communication.
This is useful when doing distributed training.
"""
import pickle
import time
import torch
import torch.distributed as dist
def get_world_size():
if not dist.is_available():
retu... |
PyTorch/SpeechSynthesis/FastPitch/scripts/mandarin_chinese | mandarin_chinese | split_sf | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... |
TensorFlow2/LanguageModeling/BERT | BERT | model_saving_utils | # 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... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/deployment/deployment_toolkit | deployment_toolkit | triton_client | # 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/LanguageModeling/BERT/biobert/scripts | scripts | ner_bc5cdr-disease | #!/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... |
TensorFlow2/Classification/ConvNets/scripts/docker | docker | requirements | six
google-api-python-client>=1.6.7
google-cloud-bigquery>=0.31.0
kaggle>=1.3.9
numpy>=1.15.4
oauth2client>=4.1.2
pandas>=0.22.0
psutil>=5.4.3
py-cpuinfo>=3.3.0
scipy>=0.19.1
tensorflow-hub>=0.6.0
tensorflow-model-optimization>=0.2.1
tensorflow-datasets
tensorflow-addons
dataclasses
gin-config
tf_slim>=1.1.0
typing
sen... |
PyTorch/Segmentation/MaskRCNN/pytorch/scripts | scripts | eval | #!/bin/bash
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#Predictions will be stored in `FOLDER`/inference`
#1x8x4 DGX1V
GPU=8
CONFIG='configs/e2e_mask_rcnn_R_50_FPN_1x.yaml'
#This folder should a file called 'last_checkpoint' which contains the path to the actual checkpoint
FOLDER='/results'
#Exam... |
TensorFlow2/Segmentation/UNet_Medical/examples | examples | unet_TRAIN_FULL_TF-AMP | # 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... |
PaddlePaddle/Classification/RN50v1.5/utils | utils | config | # Copyright (c) 2022 NVIDIA Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/trtis_client/src | src | TRTISClient | /*
* 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/Detection/Efficientdet/visualize | visualize | __init__ | # Copyright 2020 Google Research. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... |
TensorFlow/Detection/SSD/models/research/object_detection/matchers | matchers | bipartite_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... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/csrc/cuda | cuda | nms | // Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
// Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#include <ATen/ATen.h>
#include <ATen/ceil_div.h>
#include <ATen/cuda/CUDAContext.h>
#include <THC/THC.h>
#include <vector>
#include <iostream>
int const threadsPerBlock = sizeof(u... |
TensorFlow/LanguageModeling/BERT/data | data | create_datasets_from_start | #!/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/Forecasting/TFT/triton | triton | model | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton/deployment_toolkit/perf_analyzer | perf_analyzer | perf_analyzer | # 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/Classification/ConvNets/efficientnet/training/TF32 | TF32 | DGXA100_efficientnet-widese-b0_TF32 | python ./multiproc.py --nproc_per_node 8 ./launch.py --model efficientnet-widese-b0 --precision TF32 --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json
|
TensorFlow/LanguageModeling/Transformer-XL/tf/scripts/docker | docker | interactive | #!/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/fastpitch | fastpitch | attention | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
TensorFlow2/Classification/ConvNets/efficientnet_v1/B4/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... |
PyTorch/Classification/GPUNet/triton/deployment_toolkit | deployment_toolkit | __init__ | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/Classification/ConvNets/triton | triton | run_online_performance_test_on_triton | #!/usr/bin/env python3
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... |
PyTorch/LanguageModeling/BERT/triton/dist6l/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/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/config | config | paths_catalog_dlfw_ci | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
"""Centralized catalog of paths."""
import os
class DatasetCatalog(object):
DATA_DIR = "/data/coco/coco-2014"
DATASETS = {
"coco_2014_train": {
"img_dir":... |
PyTorch/SpeechRecognition/Jasper/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... |
TensorFlow/Detection/SSD/models/research/object_detection/models | models | ssd_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... |
TensorFlow/Detection/SSD/models/research/object_detection/anchor_generators | anchor_generators | grid_anchor_generator_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 | Jasper | train | # 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 ... |
TensorFlow/Segmentation/UNet_Industrial/model/layers | layers | activation | #!/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... |
TensorFlow2/Classification/ConvNets/dataloader | dataloader | preprocessing | # 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/official/utils/accelerator | accelerator | tpu_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/SpeechSynthesis/FastPitch/platform | platform | DGXA100_FastPitch_TF32_4GPU | #!/bin/bash
set -a
: ${NUM_GPUS:=4}
: ${BATCH_SIZE:=32}
: ${GRAD_ACCUMULATION:=2}
: ${AMP:=false}
bash scripts/train.sh "$@"
|
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/hydra/job_logging | job_logging | secondary | # @package _group_
# 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
#
# ... |
PyTorch/SpeechSynthesis/FastPitch/fastpitch | fastpitch | loss_function | # *****************************************************************************
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions... |
TensorFlow2/Classification/ConvNets/scripts | scripts | bind | #! /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/Recommendation/NCF | NCF | test_dataset | # Copyright (c) 2018, deepakn94, robieta. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file 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/FastPitch/triton/deployment_toolkit/bermuda | bermuda | onnx2trt_conv | # 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/runtime | runtime | utils | # 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... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.