relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
PyTorch/Forecasting/TFT/scripts | scripts | get_data | #!/bin/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
#
# Un... |
PyTorch/Recommendation/DLRM/dlrm/cuda_src/dot_based_interact_volta | dot_based_interact_volta | pytorch_ops | #include <torch/extension.h>
torch::Tensor dotBasedInteractFwdTorch(torch::Tensor input,
torch::Tensor bottom_mlp_output);
std::vector<torch::Tensor> dotBasedInteractBwdTorch(torch::Tensor input,
torch::Tensor upstreamGrad);
PY... |
PaddlePaddle/LanguageModeling/BERT/bert_configs | bert_configs | bert-base-uncased | {
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"max_position_embeddings": 512,
"num_attention_heads": 12,
"num_hidden_layers": 12,
"type_vocab_size": 2,
"vocab_size": 30522
}
|
TensorFlow/Detection/SSD/models/research/object_detection/g3doc | g3doc | running_locally | # Running Locally
This page walks through the steps required to train an object detection model
on a local machine. It assumes the reader has completed the
following prerequisites:
1. The Tensorflow Object Detection API has been installed as documented in the
[installation instructions](installation.md). This include... |
PyTorch/Segmentation/MaskRCNN/pytorch/configs/gn_baselines | gn_baselines | e2e_faster_rcnn_R_50_FPN_1x_gn | INPUT:
MIN_SIZE_TRAIN: 800
MAX_SIZE_TRAIN: 1333
MIN_SIZE_TEST: 800
MAX_SIZE_TEST: 1333
MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50-GN"
BACKBONE:
CONV_BODY: "R-50-FPN"
OUT_CHANNELS: 256
RESNETS: # use GN for backbone
TRANS_FUNC: "BottleneckWithG... |
PyTorch/SpeechSynthesis/Tacotron2/notebooks/conversationalai/model_repo/bert-onnx | bert-onnx | config | name: "bert-onnx"
platform: "onnxruntime_onnx"
max_batch_size: 8
input [
{
name: "input__0"
data_type: TYPE_INT64
dims: [384]
},
{
name: "input__1"
data_type: TYPE_INT64
dims: [384]
},
{
name: "input__2"
data_type: TYPE_INT64
dims: [384]
}
]
output [
{
name: "output__0"
data_... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/runner/maintainer | maintainer | __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... |
TensorFlow/LanguageModeling/Transformer-XL/tf | tf | run_wt103_base | #!/bin/bash
# Data
DATA_ROOT=../data/wikitext-103/
# Model
DIV_VAL=1
N_LAYER=16
D_MODEL=512
D_EMBED=512
N_HEAD=8
D_HEAD=64
D_INNER=2048
# Training
TGT_LEN=192
MEM_LEN=192
NUM_CORE=${2:-"8"}
# Testing
TEST_TGT_LEN=64
TEST_MEM_LEN=640
TEST_CLAMP_LEN=400
TEST_NUM_CORE=1
if [[ $1 == 'train_data' ]]; then
python... |
TensorFlow/LanguageModeling/BERT | BERT | run_ner | #! usr/bin/env python3
# -*- coding:utf-8 -*-
"""
Copyright 2018 The Google AI Language Team Authors.
BASED ON Google_BERT.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import os, sys
import pickle
import tensorflow as tf
import nu... |
TensorFlow2/Segmentation/nnUNet/runtime | runtime | metrics | # 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/config | config | paths_catalog_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 = "/data2/coco/coco-2017"
DATASETS = {
"coco_2017_train": {
"img_dir"... |
PaddlePaddle/Classification/RN50v1.5 | RN50v1.5 | dali | # 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/SpeechRecognition/wav2vec2 | wav2vec2 | README | # wav2vec 2.0 for PyTorch
This repository provides a script and recipe to train the wav2vec 2.0 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)
*... |
CUDA-Optimized/FastSpeech/fastspeech/utils | utils | hparam | # 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... |
CUDA-Optimized/FastSpeech/scripts | scripts | prepare_dataset | #!/usr/bin/env bash
set -e
# Download dataset
DATADIR="LJSpeech-1.1"
BZ2ARCHIVE="${DATADIR}.tar.bz2"
ENDPOINT="http://data.keithito.com/data/speech/$BZ2ARCHIVE"
if [ ! -d "$DATADIR" ]; then
echo "dataset is missing, unpacking ..."
if [ ! -f "$BZ2ARCHIVE" ]; then
echo "dataset archive is missing, downloading ... |
PyTorch/LanguageModeling/BERT/triton/runner | runner | __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/efficientnet_v1/B4/evaluation | evaluation | evaluation_FP32_V100-32G | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/Segmentation/nnUNet/scripts | scripts | train | # 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/DLRM_and_DCNv2/preproc/gpu | gpu | get_gpu_resources | # 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/LanguageModeling/BERT | BERT | run_squad | # coding=utf-8
# Copyright (c) 2019-2021 NVIDIA CORPORATION. All rights reserved.
# Copyright 2018 The Google AI Language Team Authors and The HugginFace Inc. team.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... |
PyTorch/Forecasting/TFT/triton/deployment_toolkit/bermuda | bermuda | __init__ | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/test | test | JSONModelImporter_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... |
TensorFlow/Classification/ConvNets/se-resnext101-32x4d/training | training | DGX2_SE-RNxt101-32x4d_AMP_90E | #!/bin/bash
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... |
PyTorch/LanguageModeling/BERT/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/Detection/Efficientdet/effdet/layers | layers | pool2d_same | """ AvgPool2d w/ Same Padding
Hacked together by / Copyright 2020 Ross Wightman
"""
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License... |
PyTorch/Forecasting/TFT/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... |
TensorFlow/Recommendation/WideAndDeep/scripts | scripts | DGXA100_benchmark_training_amp_8gpu | #!/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... |
TensorFlow/Detection/SSD/models/research/object_detection/predictors/heads | heads | mask_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... |
PyTorch/SpeechSynthesis/Tacotron2/tensorrt | tensorrt | inference_trt | # *****************************************************************************
# 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/LanguageModeling/BERT/data | data | TextSharding | # Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... |
TensorFlow/Classification/ConvNets/triton/deployment_toolkit/library | library | tf2trt_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... |
TensorFlow/Segmentation/UNet_Medical/utils | utils | data_loader | # 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 | notebooks | Tacotron2 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
# Copyright 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/licen... |
PyTorch/SpeechSynthesis/Tacotron2/notebooks/conversationalai/model_repo/bertQA-ts-script | bertQA-ts-script | config | name: "bertQA-ts-script"
platform: "pytorch_libtorch"
max_batch_size: 8
input [
{
name: "input__0"
data_type: TYPE_INT64
dims: [384]
},
{
name: "input__1"
data_type: TYPE_INT64
dims: [384]
},
{
name: "input__2"
data_type: TYPE_INT64
dims: [384]
}
]
output [
{
name: "output__0"
... |
PyTorch/Segmentation/MaskRCNN/pytorch | pytorch | test_fp16 | #!/bin/bash
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#Script for PyT CI
#CONFIG: 1x8x12
RESULTS_DIR='maskrcnn_coco2017_test'
REPO_DIR='/opt/pytorch/examples/Detectron_PyT/pytorch'
CONFIG='configs/e2e_mask_rcnn_R_50_FPN_1x.yaml'
LOGFILE=$REPO_DIR/results/$RESULTS_DIR/log_gpu_0_fp16.log
mkdir -p $... |
PyTorch/Classification/GPUNet/triton/scripts/docker | docker | build | #!/usr/bin/env bash
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unl... |
Tools/PyTorch/TimeSeriesPredictionPlatform/training | training | 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... |
Kaldi/SpeechRecognition/kaldi-asr-backend | kaldi-asr-backend | kaldi-backend-utils | // Copyright (c) 2020-2021, 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/Classification/ConvNets/triton/se-resnext101-32x4d | se-resnext101-32x4d | README | # Deploying the SE-ResNeXt101-32x4d model using Triton Inference Server
The [NVIDIA Triton Inference Server](https://github.com/NVIDIA/triton-inference-server) provides a datacenter and cloud inferencing solution optimized for NVIDIA GPUs. The server provides an inference service via an HTTP or gRPC endpoint, allowing... |
TensorFlow2/Classification/ConvNets/efficientnet_v1/B0/training/FP32 | FP32 | train_benchmark_8xV100-32G | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/SpeechSynthesis/FastPitch/scripts | scripts | download_models | #!/usr/bin/env bash
set -e
MODEL_NAMES="$@"
[ -z "$MODEL_NAMES" ] && { echo "Usage: $0 [fastpitch|waveglow|hifigan|hifigan-finetuned-fastpitch]"; exit 1; }
function download_ngc_model() {
mkdir -p "$MODEL_DIR"
if [ ! -f "${MODEL_DIR}/${MODEL_ZIP}" ]; then
echo "Downloading ${MODEL_ZIP} ..."
wget --conte... |
PyTorch/Segmentation/MaskRCNN/pytorch | pytorch | setup | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#!/usr/bin/env python
import glob
import os
import torch
from setuptools import find_packages
from setuptools import setup
from torch.utils.cpp_extension import CUDA_HOME
from torch.utils.cpp_extension import CppExtension
from torch.utils.cpp_ext... |
PyTorch/LanguageModeling/BERT/distillation/utils | utils | data_utils | # 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/Transformer-XL/pytorch | pytorch | wt103_base | # Base
wt103: &wt103
dataset: wt103
data: ../data/wikitext-103/
train: &train
<<: *wt103
cuda: true
n_layer: 16
d_model: 512
n_head: 8
d_head: 64
d_inner: 2048
dropout: 0.1
dropatt: 0.0
optim: jitlamb
lr: 0.01
eta_min: 0.001
roll: true
warmup_step: 1000
max_step: 4000... |
TensorFlow2/Segmentation/Contrib/UNet3P | UNet3P | README | # UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
[](https://paperswithcode.com/sota/medical-image-segmentation-on-lits2017?p=unet-3-a-full-s... |
PyTorch/SpeechSynthesis/Tacotron2/phrases | phrases | phrase_1_64 | She sells seashells by the seashore, shells she sells are great
|
TensorFlow/Detection/SSD/models/research/slim/nets | nets | lenet | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow2/LanguageModeling/BERT/official/nlp/modeling/networks | networks | bert_span_labeler | # 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/Classification/ConvNets/model/layers | layers | padding | # 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... |
TensorFlow/Classification/ConvNets/utils | utils | hvd_wrapper | hvd_global_object = None
def init(use_horovod: bool = False):
global hvd_global_object
if use_horovod:
import horovod.tensorflow as hvd
hvd.init()
hvd_global_object = hvd
else:
class _DummyWrapper:
def rank(self): return 0
def size(self): return 1
... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/trtis_client/src | src | WaveFileWriter | /*
* 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/platform | platform | DGXA100_waveglow_TF32_8NGPU_train | mkdir -p output
python -m multiproc train.py -m WaveGlow -o output/ -lr 1e-4 --epochs 1001 -bs 4 --segment-length 8000 --weight-decay 0 --grad-clip-thresh 3.4028234663852886e+38 --cudnn-benchmark --cudnn-enabled --log-file nvlog.json
|
TensorFlow2/Recommendation/DLRM_and_DCNv2/nn | nn | embedding | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/deployment/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/Translation/Transformer/fairseq/data | data | indexed_dataset | # 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.
import os
import struct
import nu... |
PyTorch/Detection/Efficientdet/scripts | scripts | bind | #! /bin/bash
set -euo pipefail
print_usage() {
cat << EOF
${0} [options] [--] COMMAND [ARG...]
Control binding policy for each task. Assumes one rank will be launched for each GPU.
Options:
--cpu=MODE
* exclusive -- bind each rank to an exclusive set of cores near its GPU
* exclusive,nosmt --... |
TensorFlow2/LanguageModeling/BERT/official/utils/logs | logs | logger_test | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow/Segmentation/UNet_3D_Medical/model | model | model_fn | # 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/Recommendation/NCF | NCF | convert | # Copyright (c) 2018, deepakn94, codyaustun, 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 requir... |
PyTorch/SpeechRecognition/wav2vec2/common/fairseq/data | data | data_utils | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may n... |
PyTorch/SpeechSynthesis/Tacotron2/filelists | filelists | ljs_audio_text_train_filelist | LJSpeech-1.1/wavs/LJ050-0234.wav|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/wavs/LJ019-0373.wav|to avail himself of his powers, as it was difficult to bring home the derelictions of duties and e... |
TensorFlow2/Detection/Efficientdet/model | model | optimizer_builder | # Copyright 2020 Google Research. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/plugins/taco2DenoiseTransformPlugin | taco2DenoiseTransformPlugin | CMakeLists | #
# 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 appl... |
TensorFlow2/Segmentation/nnUNet/scripts | scripts | benchmark | # 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 | requirements | # 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... |
PaddlePaddle/LanguageModeling/BERT | BERT | squad_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... |
TensorFlow/Detection/SSD | SSD | download_all | #!/usr/bin/env bash
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... |
TensorFlow/Classification/ConvNets/triton/deployment_toolkit | deployment_toolkit | warmup | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/Forecasting/TFT/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... |
TensorFlow2/LanguageModeling/ELECTRA/data | data | TextSharding | # 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/scripts | scripts | run_electricity_DGX1-16G | # 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 ... |
TensorFlow2/Detection/Efficientdet/efficientnet/layers | layers | __init__ | from efficientnet.layers.activations import simple_swish, hard_swish, identity, gelu, get_activation
__all__ = ['simple_swish', 'hard_swish', 'identity', 'gelu', 'get_activation'] |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | characterMapping | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
PyTorch/Detection/Efficientdet/effdet/layers | layers | helpers | """ Layer/Module Helpers
Hacked together by / Copyright 2020 Ross Wightman
"""
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
... |
PyTorch/SpeechSynthesis/HiFiGAN/common/text/unidecoder | unidecoder | replacements | # 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/SpeechSynthesis/FastPitch/platform | platform | DGXA100_FastPitch_AMP_4GPU | #!/bin/bash
set -a
: ${NUM_GPUS:=4}
: ${BATCH_SIZE:=32}
: ${GRAD_ACCUMULATION:=2}
: ${AMP:=true}
bash scripts/train.sh "$@"
|
PyTorch/SpeechSynthesis/Tacotron2/notebooks/conversationalai/model_repo/waveglow-trt | waveglow-trt | config | name: "waveglow-trt"
platform: "tensorrt_plan"
default_model_filename: "waveglow_fp16.engine"
max_batch_size: 0
input {
name: "mel"
data_type: TYPE_FP16
dims: [1, 80, -1]
}
input {
name: "z"
data_type: TYPE_FP16
dims: [1, 8, -1]
}
output {
name: "audio"
data_type: TYPE_FP16
dims: [1, -1]
}
|
TensorFlow/Segmentation/UNet_3D_Medical/runtime | runtime | setup | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/Recommendation/WideAndDeep/triton/runner | runner | start_NVIDIA-A30 | # 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/object_detection/utils | utils | variables_helper | # 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/data/datasets | datasets | voc | # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
import os
import torch
import torch.utils.data
from PIL import Image
import sys
if sys.version_info[0] == 2:
import xml.etree.cElementTree as ET
else:
import xml.etree.ElementTree as ET
from maskrcnn_benchmark.structures.bounding_box import Box... |
TensorFlow/LanguageModeling/Transformer-XL/tf | tf | lamb | # Copyright (c) 2020 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
TensorFlow/Segmentation/UNet_Industrial/utils | utils | image_processing | # !/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 ... |
TensorFlow2/Recommendation/WideAndDeep | WideAndDeep | 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... |
CUDA-Optimized/FastSpeech/fastspeech/inferencer | inferencer | __init__ | # 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... |
PyTorch/SpeechSynthesis/Tacotron2/tacotron2 | tacotron2 | model | # *****************************************************************************
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions... |
TensorFlow/Detection/SSD/models/research/object_detection/box_coders | box_coders | faster_rcnn_box_coder_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/Segmentation/UNet_Medical/runtime | runtime | arguments | # 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/Recommendation/DLRM/tests/feature_specs | feature_specs | different_paths | channel_spec:
categorical:
- cat_0.bin
- cat_1.bin
- cat_2.bin
- cat_3.bin
- cat_4.bin
- cat_5.bin
- cat_6.bin
- cat_7.bin
- cat_8.bin
- cat_9.bin
- cat_10.bin
- cat_11.bin
- cat_12.bin
- cat_13.bin
- cat_14.bin
- cat_15.bin
- cat_16.bin
- cat_17.bin
- cat_18.bin
- cat_19.bin
... |
PyTorch/LanguageModeling/Transformer-XL/pytorch/utils | utils | data_parallel | import torch
from torch.nn.parallel import DataParallel
from torch.nn.parallel._functions import Scatter
from torch.nn.parallel.parallel_apply import parallel_apply
def scatter(inputs, target_gpus, chunk_sizes, dim=0):
r"""
Slices tensors into approximately equal chunks and
distributes them across given G... |
PyTorch/SpeechRecognition/wav2vec2/common/fairseq/optim | optim | dynamic_loss_scaler | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may n... |
PyTorch/LanguageModeling/BART/scripts | scripts | get_data | #!/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... |
TensorFlow2/Detection/Efficientdet/dataset | dataset | create_coco_tfrecord | # Copyright 2020 Google Research. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... |
PyTorch/SpeechRecognition/Jasper | Jasper | README | # Jasper For PyTorch
This repository provides scripts to train the Jasper model to achieve near state of the art accuracy and perform high-performance inference using NVIDIA TensorRT. This repository is tested and maintained by NVIDIA.
## Table Of Contents
- [Model overview](#model-overview)
* [Model architecture]... |
PyTorch/LanguageModeling/BERT/triton/deployment_toolkit/perf_analyzer | perf_analyzer | perf_config | # 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/Segmentation/UNet_Industrial/scripts | scripts | UNet_8GPU | #!/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/Tacotron2/trtis_cpp/src/trt/util | util | random | /*
* 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 | Efficientdet | train | #!/usr/bin/env python
""" EfficientDet Training Script
This script was started from an early version of the PyTorch ImageNet example
(https://github.com/pytorch/examples/tree/master/imagenet)
NVIDIA CUDA specific speedups adopted from NVIDIA Apex examples
(https://github.com/NVIDIA/apex/tree/master/examples/imagenet)... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/layers | layers | attentionLayerCreator | /*
* 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/Contrib/UNet3P/losses | losses | unet_loss | """
UNet 3+ Loss
"""
from .loss import focal_loss, ssim_loss, iou_loss
def unet3p_hybrid_loss(y_true, y_pred):
"""
Hybrid loss proposed in
UNET 3+ (https://arxiv.org/ftp/arxiv/papers/2004/2004.08790.pdf)
Hybrid loss for segmentation in three-level hierarchy – pixel,
patch and map-level, which is a... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.