relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
PyTorch/SpeechSynthesis/FastPitch/fastpitch | fastpitch | transformer_jit | # 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/SpeechSynthesis/FastPitch/triton/deployment_toolkit | deployment_toolkit | __init__ | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/LanguageModeling/BERT/scripts | scripts | run_pretraining_lamb_phase1 | #! /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... |
TensorFlow2/LanguageModeling/ELECTRA/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... |
PaddlePaddle/Classification/RN50v1.5/models | models | __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/175ms/runner | runner | config_NVIDIA-DGX-1-(1x-V100-32GB) | batching: dynamic
checkpoints:
- name: 1.75ms
url: https://api.ngc.nvidia.com/v2/models/nvidia/dle/gpunet_2_pyt_ckpt/versions/21.12.0_amp/zip
configurations:
- checkpoint: 1.75ms
parameters:
backend_accelerator: trt
checkpoint: 1.75ms
device_kind: gpu
export_format: onnx
export_precision: fp16
... |
PyTorch/SpeechRecognition/wav2vec2/common/fairseq/modules | modules | layer_norm | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may n... |
TensorFlow/Detection/SSD/models/research/object_detection/core | core | target_assigner_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... |
PaddlePaddle/LanguageModeling/BERT | BERT | loss | # Copyright (c) 2022 NVIDIA Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/Recommendation/WideAndDeep/triton | triton | metrics | #!/usr/bin/env python3
# Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... |
CUDA-Optimized/FastSpeech/fastspeech/text_norm | text_norm | __init__ | # Copyright (c) 2017 Keith Ito
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute... |
TensorFlow/Detection/SSD/models/research/object_detection/builders | builders | preprocessor_builder | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/tests/feature_specs | feature_specs | 13_num_26_cat | channel_spec:
categorical:
- cat_0.bin
- cat_1.bin
- cat_2.bin
- cat_3.bin
- cat_4.bin
- cat_5.bin
- cat_6.bin
- cat_7.bin
- cat_8.bin
- cat_9.bin
- cat_10.bin
- cat_11.bin
- cat_12.bin
- cat_13.bin
- cat_14.bin
- cat_15.bin
- cat_16.bin
- cat_17.bin
- cat_18.bin
- cat_19.bin
... |
TensorFlow/LanguageModeling/Transformer-XL/tf | tf | vocabulary | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from collections import Counter, OrderedDict
import numpy as np
import tensorflow as tf
from tensorflow.gfile import Open as open
from tensorflow.gfile import Exists as exists
class Vocab(object):
def __i... |
PyTorch/SpeechSynthesis/FastPitch/hifigan | hifigan | models_ch_last_ | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d, ConvTranspose2d, AvgPool2d
from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm
from common.utils import init_weights, get_padding, print_once
LRELU_SLOPE = 0.1
cl... |
PyTorch/SpeechSynthesis/HiFiGAN/common/text | text | text_processing | """ adapted from https://github.com/keithito/tacotron """
import re
import numpy as np
from . import cleaners
from .symbols import get_symbols
from . import cmudict
from .numerical import _currency_re, _expand_currency
#########
# REGEX #
#########
# Regular expression matching text enclosed in curly braces for enco... |
TensorFlow/Translation/GNMT/utils | utils | misc_utils | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/plugins/taco2LSTMCellPlugin | taco2LSTMCellPlugin | taco2LSTMCellKernel | /*
* 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/Segmentation/MaskRCNN/mrcnn_tf2/ops | ops | spatial_transform_ops | # 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/nnUNet/triton | triton | dataloader | import numpy as np
from data_loading.dali_loader import fetch_dali_loader
from sklearn.model_selection import KFold
from utils.utils import get_split, load_data
def get_dataloader_fn(*, data_dir: str, batch_size: int, precision: str):
kwargs = {
"dim": 3,
"gpus": 1,
"seed": 0,
"num... |
PyTorch/SpeechRecognition/Jasper/common/text/unidecoder | unidecoder | homoglyphs | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... |
PyTorch/Translation/Transformer/fairseq/models | models | transformer | # 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.
#
#--------------------------------... |
TensorFlow/Segmentation/UNet_Industrial/scripts | scripts | UNet_1GPU_XLA | #!/usr/bin/env bash
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... |
PyTorch/SpeechSynthesis/FastPitch/fastpitch | fastpitch | model | # *****************************************************************************
# 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/SpeechSynthesis/HiFiGAN/hifigan | hifigan | data_function | # 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... |
CUDA-Optimized/FastSpeech/fastspeech/hparams | hparams | train | # Inheritance
parent_yaml: "base.yaml"
# Data
meta_file: "metadata_train.csv"
# Train
n_workers: 16 # Num of workers used in data loader.
learning_rate: 0.001 # Learning rate.
warmup_steps: 4000 # Num of warmup steps.
batch_size: 16 # Batch size.
final_steps: 320000 ... |
TensorFlow/LanguageModeling/Transformer-XL/tf/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 r... |
PyTorch/LanguageModeling/BERT/triton/large/scripts/docker | docker | interactive | #!/usr/bin/env bash
# Copyright (c) 2021 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... |
PyTorch/SpeechSynthesis/FastPitch/triton | triton | fastpitch_tensor_info | tensor_names:
inputs: [text_padded, input_lengths]
outputs: [mel_padded, output_lengths, dur_padded, pitch_padded]
|
PyTorch/SpeechRecognition/Jasper/common/dali | dali | __init__ | # 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 ... |
CUDA-Optimized/FastSpeech/fastspeech/trt | trt | verify_trt | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditio... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner/maintainer/docker/containers | containers | triton_server_container | # 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/core | core | batcher | # 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_3D_Medical/runtime | runtime | hooks | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner | runner | exceptions | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/SpeechRecognition/wav2vec2/scripts | scripts | finetune_base_1h | #!/usr/bin/env bash
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... |
Tools/PyTorch/TimeSeriesPredictionPlatform | TimeSeriesPredictionPlatform | hydra_utils | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... |
PyTorch/Classification/ConvNets/efficientnet/inference/TF32 | TF32 | DGXA100_efficientnet-widese-b0_TF32 |
python ./multiproc.py --nproc_per_node 8 ./launch.py --model efficientnet-widese-b0 --precision TF32 --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 TF32 --mode ... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/csrc/cpu | cpu | ROIAlign_cpu | // Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#include "cpu/vision.h"
// implementation taken from Caffe2
template <typename T>
struct PreCalc {
int pos1;
int pos2;
int pos3;
int pos4;
T w1;
T w2;
T w3;
T w4;
};
template <typename T>
void pre_calc_for_bilinear_interpolate(
... |
TensorFlow/Detection/SSD/models/research/slim/nets | nets | inception_v1_test | # 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/SpeechRecognition/QuartzNet/scripts | scripts | evaluation | #!/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... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | cudaUtils | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
PyTorch/Detection/Efficientdet/utils | utils | distributed_sampler | # 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 | data | collate_batch | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from maskrcnn_benchmark.structures.image_list import to_image_list
class BatchCollator(object):
"""
From a list of samples from the dataset,
returns the batched images and targets.
This should be passed to the DataLoader
"""
... |
PaddlePaddle/LanguageModeling/BERT/scripts | scripts | run_pretraining_p1 | # Copyright (c) 2022 NVIDIA Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/Recommendation/DLRM/dlrm/cuda_src/sparse_gather | sparse_gather | sparse_pytorch_ops | #include <torch/extension.h>
torch::Tensor gather_gpu_fwd(torch::Tensor input, torch::Tensor weight);
void gather_gpu_bwd_fuse_sgd(const torch::Tensor grad, const torch::Tensor indices, float lr, torch::Tensor weight);
torch::Tensor gather_gpu_bwd(const torch::Tensor grad, const torch::Tensor indices, const int num_fe... |
PyTorch/SpeechSynthesis/Tacotron2/notebooks/conversationalai/client/speech_ai_demo | speech_ai_demo | speech_ai_demo | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import sounddevice as sd
print(sd.query_devices())
# In[ ]:
sd.default.device = 11
# In[ ]:
import sys
import os
import time
import numpy as np
import collections
get_ipython().run_line_magic('matplotlib', 'inline')
import matplotlib.pyplot as plt
from matplotli... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/model | model | cuml_auto_arima | # 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/LanguageModeling/BART/utils | utils | callbacks | # 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/125ms-D/runner | runner | config_NVIDIA-DGX-A100-(1x-A100-80GB) | batching: dynamic
checkpoints:
- name: 1.25ms-D
url: https://api.ngc.nvidia.com/v2/models/nvidia/dle/gpunet_d1_pyt_ckpt/versions/21.12.0_amp/zip
configurations:
- checkpoint: 1.25ms-D
parameters:
backend_accelerator: trt
checkpoint: 1.25ms-D
device_kind: gpu
export_format: onnx
export_precision:... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/deployment/export | export | ts-trace | # 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/Translation/Transformer/fairseq/optim/lr_scheduler | lr_scheduler | fixed_schedule | # 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 FairseqLRScheduler, ... |
PyTorch/Detection/SSD/examples | examples | SSD300_FP16_EVAL | # This script evaluates SSD300 model in FP16 using 32 batch size on 1 GPU
# Usage: ./SSD300_FP16_EVAL.sh <path to this repository> <path to dataset> <path to checkpoint> <additional flags>
python $1/main.py --backbone resnet50 --ebs 32 --data $2 --mode evaluation --checkpoint $3 ${@:4}
|
TensorFlow/Detection/SSD/models/research/slim/nets | nets | nets_factory | # 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 ... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner/maintainer/docker | docker | container | # 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/se-resnext101-32x4d | se-resnext101-32x4d | README | # SE-ResNeXt101-32x4d For PyTorch
This repository provides a script and recipe to train the SE-ResNeXt101-32x4d model 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 confi... |
PyTorch/Classification/ConvNets/triton/deployment_toolkit | deployment_toolkit | dump | # 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/deployment_toolkit/model_analyzer | model_analyzer | exceptions | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
. | DeepLearningExamples | README | # NVIDIA Deep Learning Examples for Tensor Cores
## Introduction
This repository provides State-of-the-Art Deep Learning examples that are easy to train and deploy, achieving the best reproducible accuracy and performance with NVIDIA CUDA-X software stack running on NVIDIA Volta, Turing and Ampere GPUs.
## NVIDIA GPU... |
PyTorch/SpeechRecognition/wav2vec2/common | common | optimizers | # 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/data | data | README | Steps to reproduce datasets from web
1) Build the container
* docker build -t bert_tf .
2) Run the container interactively
* nvidia-docker run -it --ipc=host bert_tf
* Optional: Mount data volumes
* -v yourpath:/workspace/bert/data/wikipedia_corpus/download
* -v yourpath:/workspace/bert/data/wikipedia_co... |
TensorFlow/Detection/SSD/models/research/object_detection/models | models | ssd_mobilenet_v1_ppn_feature_extractor | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/tacotron2 | tacotron2 | tacotron2Builder | /*
* 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/Recommendation/WideAndDeep/triton/runner | runner | __main__ | # 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/scripts | scripts | benchmark_train | #!/usr/bin/env bash
# Script to benchmark single-GPU training performance, with bases precomputation
# CLI args with defaults
BATCH_SIZE=${1:-240}
AMP=${2:-true}
CUDA_VISIBLE_DEVICES=0 python -m se3_transformer.runtime.training \
--amp "$AMP" \
--batch_size "$BATCH_SIZE" \
--epochs 16 \
--use_layer_norm \
-... |
PyTorch/Segmentation/nnUNet | nnUNet | main | # 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/filelists | filelists | ljs_mel_text_train_subset_625_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.... |
PaddlePaddle/LanguageModeling/BERT/scripts | scripts | run_squad | # 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/examples | examples | SSD320_FP32_inference | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/deployment_toolkit/perf_analyzer | perf_analyzer | exceptions | class PerfAnalyzerException(Exception):
def __init__(self, message: str):
self._message = message
def __str__(self):
"""
Get the exception string representation.
Returns
-------
str
The message associated with this exception, or None if no message.
... |
PyTorch/SpeechSynthesis/FastPitch/triton/deployment_toolkit | deployment_toolkit | dump | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/SpeechSynthesis/FastPitch/common | common | stft | """
BSD 3-Clause License
Copyright (c) 2017, Prem Seetharaman
All rights reserved.
* Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of... |
TensorFlow2/Recommendation | 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 ... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/nn | nn | trainer | # 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 | Tacotron2 | train | # *****************************************************************************
# 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/Classification/ConvNets/se-resnext101-32x4d/training | training | DGX2_SE-RNxt101-32x4d_AMP_250E | #!/bin/bash
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... |
PyTorch/Translation/Transformer/scripts | scripts | run_preprocessing | # 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 applicab... |
TensorFlow2/Recommendation/WideAndDeep/triton/runner | runner | 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... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | CharacterMappingReader | /*
* 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/PyTorch/TimeSeriesPredictionPlatform/conf/trainer/callbacks/callbacks | callbacks | save_best_checkpoint | # 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/LanguageModeling/BERT | BERT | .gitignore | # Initially taken from Github's Python gitignore file
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
*.png
.idea/
*swp
data/
checkpoints/
data_dl/
# C extensions
*.so
#Data
data/download
data/extracted
data/formatted_one_article_per_line
data/sharded
data/hdf5*
data/tfrecord*
data/*/*.zip
... |
PyTorch/SpeechSynthesis/HiFiGAN/scripts | scripts | inference_example | #!/usr/bin/env bash
export CUDNN_V8_API_ENABLED=1 # Keep the flag for older containers
export TORCH_CUDNN_V8_API_ENABLED=1
: ${DATASET_DIR:="data/LJSpeech-1.1"}
: ${BATCH_SIZE:=16}
: ${FILELIST:="data/filelists/devset10.tsv"}
: ${AMP:=false}
: ${TORCHSCRIPT:=false}
: ${WARMUP:=0}
: ${REPEATS:=1}
: ${CUDA:=true}
: ${... |
TensorFlow2/LanguageModeling/BERT/official/utils/logs | logs | logger | # 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/builders | builders | optimizer_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... |
PyTorch/Segmentation/MaskRCNN | MaskRCNN | download_dataset | DATA_DIR=$1
wget -c http://images.cocodataset.org/zips/train2017.zip
wget -c http://images.cocodataset.org/zips/val2017.zip
wget -c http://images.cocodataset.org/annotations/annotations_trainval2017.zip
if md5sum -c hashes.md5
then
echo "DOWNLOAD PASSED"
# mkdir $DATA_DIR
mv train2017.zip $DATA_DIR
mv val2017.zip... |
TensorFlow2/Detection/Efficientdet/scripts/D0 | D0 | convergence-TF32-8xA100-80G | #!/bin/bash
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... |
TensorFlow/Segmentation/UNet_Medical/utils | utils | model_fn | # 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/Translation/GNMT/scripts | scripts | wmt16_en_de | #!/usr/bin/env bash
# Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file 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 ... |
PyTorch/Segmentation/nnUNet/triton/deployment_toolkit/bermuda | bermuda | onnx | # 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/LanguageModeling/BERT | BERT | README | # BERT for PaddlePaddle
This repository provides a script and recipe to train the BERT model for PaddlePaddle 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 configur... |
TensorFlow2/Detection/Efficientdet/dataset | dataset | get_coco | #!/bin/bash
# Download and extract coco 2017
mkdir -p /workspace/coco
cd /workspace/coco
wget http://images.cocodataset.org/zips/train2017.zip
wget http://images.cocodataset.org/zips/val2017.zip
wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip
unzip train2017.zip
unzip val2017.zip
unzip anno... |
TensorFlow/Translation/GNMT/examples | examples | DGX1_FP32_1GPU | python nmt.py --output_dir=results --batch_size=128 --learning_rate=5e-4
|
PyTorch/SpeechSynthesis/Tacotron2/notebooks/triton | triton | run_this | jupyter lab --allow-root --ip=0.0.0.0 --no-browser notebook.ipynb |
Tools/PyTorch/TimeSeriesPredictionPlatform/inference | inference | inference_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 ... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp | trtis_cpp | README | # Tacotron2+WaveGlow Inference Using TensorRT Inference Server with TensorRT
This is a subfolder of the Tacotron2 for PyTorch repository that provides
scripts to deploy high-performance inference using NVIDIA TensorRT Inference
Server with a custom TensorRT
[backend](https://docs.nvidia.com/deeplearning/sdk/tensorrt-i... |
PyTorch/LanguageModeling/BERT/triton/deployment_toolkit | deployment_toolkit | core | # 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/nnUNet/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/Forecasting/TFT/triton/scripts | scripts | setup_environment | #!/usr/bin/env bash
# Copyright (c) 2021-2022 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/waveglow | waveglow | waveGlowStreamingInstance | /*
* 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/trtis | trtis | CustomInputReader | /*
* 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... |
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