relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
PyTorch/LanguageModeling/Transformer-XL/pytorch/inference | inference | mem_transformer_jit | # 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... |
PyTorch/Translation/Transformer/fairseq/optim/lr_scheduler | lr_scheduler | fairseq_lr_scheduler | # 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.
from .. import FairseqOptimizer
... |
PyTorch/Classification/ConvNets/triton/scripts | scripts | get_metrics_static | #!/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/tensorflow-dot-based-interact/tensorflow_dot_based_interact/cc/kernels/ampere | ampere | dot_based_interact_ampere | // 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 ... |
PyTorch/Translation/Transformer/fairseq | fairseq | distributed_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.
#
#--------------------------------... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/csrc/cuda | cuda | box_iou | /**
* 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 require... |
TensorFlow2/LanguageModeling/BERT/official/nlp | nlp | bert_modeling | # 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/SpeechRecognition/wav2vec2/common | common | pyt_mha | # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/LanguageModeling/ELECTRA | ELECTRA | pretrain_utils | # coding=utf-8
# Copyright 2020 The Google Research Authors.
# 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.ap... |
PyTorch/Classification/ConvNets/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/Translation/GNMT/examples | examples | DGXA100_AMP_1GPU | python nmt.py --output_dir=results --batch_size=128 --learning_rate=5e-4 --amp
|
TensorFlow/Detection/SSD/models/research/slim/datasets | datasets | process_bounding_boxes | #!/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/Classification/GPUNet/triton/runner/maintainer/docker/containers | containers | __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... |
PyTorch/Classification/GPUNet/triton/runner | runner | triton | # 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/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/engine | engine | tester | # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
import torch
import os
from maskrcnn_benchmark.data.build import make_data_loader
from maskrcnn_benchmark.engine.inference import inference
from maskrcnn_benchmark.utils.miscellaneous import mkdir
from maskrcnn_benchmark.utils.comm import synchronize
de... |
CUDA-Optimized/FastSpeech/fastspeech/trt | trt | fastspeech_trt_multi_engine_inferencer | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditio... |
Kaldi/SpeechRecognition/scripts | scripts | run_inference_all_a100 | #!/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 required... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner | runner | start_NVIDIA-DGX-1-(1x-V100-32GB) | # 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/wav2vec2/common | common | helpers | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/trainer/optimizer | optimizer | LBFGS | # 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/Detection/Efficientdet/effdet/object_detection | object_detection | 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... |
TensorFlow/Recommendation/VAE-CF/vae/utils | utils | round | # 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... |
PyTorch/Detection/Efficientdet/effdet | effdet | focal_loss | # 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/flags | flags | _misc | # 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/utils | utils | json_utils | # 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... |
Kaldi/SpeechRecognition/scripts/docker | docker | launch_server | #!/bin/bash
# Copyright (c) 2019-2021 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/SpeechSynthesis/HiFiGAN/platform | platform | DGX1_HiFi-GAN_AMP_1GPU | #!/bin/bash
set -a
: ${NUM_GPUS:=1}
: ${BATCH_SIZE:=64}
: ${GRAD_ACCUMULATION:=2}
: ${AMP:=true}
bash scripts/train_lj22khz.sh "$@"
|
TensorFlow/LanguageModeling/BERT/scripts/configs | configs | squad_config | #!/usr/bin/env bash
# Full SQuAD training configs for NVIDIA DGX A100 (8x NVIDIA A100 40GB GPU)
dgxa100_8gpu_fp16 ()
{
batch_size=32
learning_rate=5e-6
precision=fp16
use_xla=true
num_gpu=8
seq_length=384
doc_stride=128
bert_model="large"
echo $batch_size $learning_rate $precision $use_xla $num_gpu ... |
PaddlePaddle/Classification/RN50v1.5 | RN50v1.5 | requirements | git+https://github.com/NVIDIA/dllogger@v1.0.0#egg=dllogger
cuda-python==12.0.0
|
TensorFlow2/Segmentation/nnUNet | nnUNet | preprocess | # 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/efficientnet/inference/FP32 | FP32 | DGXA100_efficientnet-widese-b0_FP32 |
python ./multiproc.py --nproc_per_node 8 ./launch.py --model efficientnet-widese-b0 --precision FP32 --mode benchmark_inference --platform DGXA100 /imagenet -b 1 --workspace ${1:-./} --raport-file raport_1.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model efficientnet-widese-b0 --precision FP32 --mode ... |
PyTorch/Detection/Efficientdet | Efficientdet | validate | #!/usr/bin/env python
""" COCO validation script
Hacked together by Ross Wightman (https://github.com/rwightman)
"""
# 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.
# Yo... |
TensorFlow/Detection/SSD/models/research/object_detection/predictors/heads | heads | class_head_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... |
TensorFlow2/Recommendation/WideAndDeep/trainer | trainer | run | # 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/DrugDiscovery/MoFlow/moflow/data | data | transform | # 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/Translation/Transformer/scripts | scripts | run_DGX2_FP32 | #! /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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton | triton | model | import os
import torch
import torch.nn as nn
def update_argparser(parser):
parser.add_argument("--checkpoint", type=str, help="Path to checkpoint to be used", required=True)
parser.add_argument("--precision", type=str, choices=['fp16', 'fp32'], required=True)
class TFTWrapper(nn.Module):
def __init__(sel... |
PyTorch/Classification/ConvNets/triton/resnet50 | resnet50 | README | # Deploying the ResNet50 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
- [... |
TensorFlow/Segmentation/UNet_Industrial/model | model | __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... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/plugins/taco2DenoiseTransformPlugin | taco2DenoiseTransformPlugin | taco2DenoiseTransformLayerPlugin | /*
* 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 | BERT | run_pretraining | # 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/LanguageModeling/BERT/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... |
TensorFlow/Detection/SSD/models/research/object_detection/anchor_generators | anchor_generators | multiscale_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... |
TensorFlow/Detection/SSD/models/research/slim/nets | nets | inception_v3 | # 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/Classification/GPUNet/triton/125ms-D/runner | runner | pipeline_impl | # 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/utils | utils | test_case | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow2/Recommendation/WideAndDeep | WideAndDeep | gen_csv | from data.feature_spec import FeatureSpec
from data.outbrain.defaults import ONEHOT_CHANNEL, MULTIHOT_CHANNEL, LABEL_CHANNEL, NUMERICAL_CHANNEL, \
MAP_FEATURE_CHANNEL
from argparse import ArgumentParser
import pandas as pd
import os
import numpy as np
def parse_args():
parser = ArgumentParser()
parser.add... |
PyTorch/Classification/ConvNets/image_classification | image_classification | gpu_affinity | import collections
import itertools
import os
import pathlib
import re
import pynvml
from typing import Union
class Device:
# assume nvml returns list of 64 bit ints
_nvml_bit_affinity = 64
_nvml_affinity_elements = (
os.cpu_count() + _nvml_bit_affinity - 1
) // _nvml_bit_affinity
def _... |
TensorFlow/Detection/SSD/models/research/object_detection/models | models | ssd_pnasnet_feature_extractor | # 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... |
MxNet/Classification/RN50v1.5 | RN50v1.5 | benchmark | #!/usr/bin/env python3
# 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
#
# U... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton | triton | dataloader | # 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/Segmentation/UNet_Medical/utils | utils | runner | # 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/common | common | helpers | # 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/SpeechRecognition/Jasper/triton/scripts | scripts | export_model | #!/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 ... |
CUDA-Optimized/FastSpeech/fastspeech/hparams | hparams | trt_fp16 | parent_yaml: 'trt.yaml'
use_fp16: True
# TRT
trt_file_path: "/fastspeech/preprocessed/v0.2.0/fastspeech.fp16.trt" |
PaddlePaddle/Classification/RN50v1.5/scripts/inference | inference | infer_resnet50_AMP | # Copyright (c) 2022 NVIDIA Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/preproc | preproc | split_dataset | # 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/AMP | AMP | convergence_8xA100-80G | # 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/LanguageModeling/BERT/triton/deployment_toolkit/bermuda | bermuda | __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... |
TensorFlow2/Classification/ConvNets/model/layers | layers | normalization | # 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/data/samplers | samplers | __init__ | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from .distributed import DistributedSampler
from .grouped_batch_sampler import GroupedBatchSampler
from .iteration_based_batch_sampler import IterationBasedBatchSampler
__all__ = ["DistributedSampler", "GroupedBatchSampler", "IterationBasedBatchSa... |
PyTorch/SpeechSynthesis/FastPitch/common | 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton/deployment_toolkit | deployment_toolkit | extensions | # 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/trt/util | util | trtUtils | /*
* 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/Segmentation/UNet_Medical/utils/hooks | hooks | profiling_hook | # 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/triton | triton | notebook | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import os
import time
import numpy as np
import collections
get_ipython().run_line_magic('matplotlib', 'inline')
import matplotlib.pyplot as plt
from matplotlib import cm as cm
from IPython.display import Audio, display, clear_output, Markdown, Image
#import librosa
#im... |
TensorFlow/Classification/ConvNets/dataprep | dataprep | build_image_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... |
TensorFlow2/Recommendation/WideAndDeep/triton/runner | runner | runner_proxy | # 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/tests/feature_specs | feature_specs | more_numerical | channel_spec:
label:
- clicked
map: []
multihot_categorical:
- topic_id_list
- entity_id_list
- category_id_list
numerical:
- document_id_document_id_promo_sim_categories
- document_id_document_id_promo_sim_topics
- document_id_document_id_promo_sim_entities
- document_id_promo_ctr
- publisher... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/test | test | Taco2DenoiseTransformLayerPlugin_test | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
PyTorch/Forecasting/TFT/triton/runner/maintainer/docker | docker | maintainer | # 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/GPUNet/configs/batch1/GV100 | GV100 | 0.8ms-D |
[
{
"layer_type": "data",
"img_resolution": 224,
"distill": false
},
{
"layer_type": "head",
"num_in_channels": 3,
"num_out_channels": 32,
"act": "relu"
},
{
"layer_type": "conv",
"num_in_channel... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/generator/tabular | tabular | utils | # 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/LanguageModeling/BERT/notebooks | notebooks | README | ```
# Licensed under the Apache License, Version 2.0 (the "License")
# you may not use this file 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 writing, software distributed under the Licen... |
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | faster_rcnn_resnet101_fgvc | # Faster R-CNN with Resnet-101 (v1)
# Users should configure the fine_tune_checkpoint field in the train config as
# well as the label_map_path and input_path fields in the train_input_reader and
# eval_input_reader. Search for "PATH_TO_BE_CONFIGURED" to find the fields that
# should be configured.
model {
faster_rc... |
TensorFlow/Segmentation/UNet_Medical/examples | examples | unet_TF-AMP_1GPU | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/Recommendation/DLRM/dlrm/nn | nn | parts | # 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/FastPitch | FastPitch | prepare_dataset | # *****************************************************************************
# 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... |
PyTorch/LanguageModeling/BERT/distillation/utils | utils | count_records | # 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/LanguageModeling/BART | BART | run_eval | # 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 | MaskRCNN | .gitignore | *.pyc
__pycache__
*.swp
.vscode/
.idea/
venv/
# Debug Dirs
profiling/
nvtx_plugins/
nsys/
# DLLogger file
*dlll.json
|
PyTorch/Classification/GPUNet/triton/runner | runner | 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... |
Tools/DGLPyTorch/SyntheticGraphGeneration/demos/basic_examples | basic_examples | e2e_epinions_demo | #!/usr/bin/env python
# coding: utf-8
# Copyright 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-... |
PyTorch/LanguageModeling/Transformer-XL/pytorch | pytorch | run_enwik8_large | #!/bin/bash
export OMP_NUM_THREADS=1
if [[ $1 == 'train' ]]; then
echo 'Run training...'
python train.py \
--cuda \
--data ../data/enwik8/ \
--dataset enwik8 \
--n_layer 24 \
--d_model 1024 \
--n_head 8 \
--d_head 128 \
--d_inner 3072 \
-... |
TensorFlow/Classification/ConvNets/model/layers | layers | __init__ | # 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 required by applic... |
TensorFlow2/Recommendation/WideAndDeep/trainer/utils | utils | gpu_affinity | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
TensorFlow/Detection/SSD/models/research/slim/nets | nets | i3d | # 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 applicable ... |
PyTorch/Classification/GPUNet/triton/08ms-D | 08ms-D | README | # Deploying the GPUNet 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
- [Solution... |
PyTorch/LanguageModeling/Transformer-XL/pytorch/scripts/docker | docker | interactive | #!/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
#
# Un... |
PyTorch/Classification/GPUNet/triton/deployment_toolkit/triton_performance_runner/model_analyzer | model_analyzer | __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... |
PyTorch/SpeechSynthesis/Tacotron2/platform | platform | DGX1_tacotron2_FP32_4NGPU_train | mkdir -p output
python -m multiproc train.py -m Tacotron2 -o output/ -lr 1e-3 --epochs 1501 -bs 48 --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 -... |
TensorFlow2/Classification/ConvNets/config | config | defaults | # Copyright 2021 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/meta_architectures | meta_architectures | ssd_meta_arch | # 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/filelists | filelists | ljs_mel_text_train_filelist | LJSpeech-1.1/mels/LJ050-0234.pt|It has used other Treasury law enforcement agents on special experiments in building and route surveys in places to which the President frequently travels.
LJSpeech-1.1/mels/LJ019-0373.pt|to avail himself of his powers, as it was difficult to bring home the derelictions of duties and eva... |
PyTorch/SpeechSynthesis/HiFiGAN/fastpitch | fastpitch | attn_loss_function | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/utils | utils | registry | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
def _register_generic(module_dict, module_name, module):
assert module_name not in module_dict
module_dict[module_name] = module
class Registry(dict):
'''
A helper class for managing registering modules, it extends a dictionary
... |
Tools/PyTorch/TimeSeriesPredictionPlatform/callbacks | callbacks | ctl_callbacks | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... |
PyTorch/SpeechRecognition/QuartzNet/common/text | text | numbers | # Copyright (c) 2017 Keith Ito
# 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/LICE... |
TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/model | model | anchors | # 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/Recommendation/WideAndDeep/scripts | scripts | DGXA100_benchmark_training_amp_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... |
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