relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
TensorFlow2/Recommendation/WideAndDeep/triton/deployment_toolkit/library | library | onnx | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
PyTorch/Classification/ConvNets/resnext101-32x4d/training/FP32 | FP32 | DGX1V_resnext101-32x4d_FP32_90E | python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnext101-32x4d --precision FP32 --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
|
PyTorch/LanguageModeling/BART/scripts | scripts | run_eval_summarization | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/Detection/Efficientdet/scripts/D0 | D0 | validation_FP32_V100-32G | #!/bin/bash
rm -rf *.json
python -u -m bind_launch --nproc_per_node=${NUM_PROC:-1} validate.py '/workspace/object_detection/datasets/coco/' --model efficientdet_d0 -b ${BATCH_SIZE:-8} --torchscript --use-ema --checkpoint ${CKPT_PATH:-/checkpoints/Effdet_B0.pth} |
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 | log_helper | import os
import atexit
import time
import itertools
from collections import OrderedDict
import dllogger
from dllogger import Backend, JSONStreamBackend
from tensorboardX import SummaryWriter
import torch
class AverageMeter():
def __init__(self):
self.reset()
def reset(self):
self.updated =... |
. | DeepLearningExamples | hubconf | import os
import sys
from PyTorch.Detection.SSD.ssd import nvidia_ssd, nvidia_ssd_processing_utils
sys.path.append(os.path.join(sys.path[0], 'PyTorch/Detection/SSD'))
from PyTorch.Classification.ConvNets.image_classification.models import resnet50 as nvidia_resnet50
from PyTorch.Classification.ConvNets.image_classifi... |
TensorFlow/Recommendation/VAE-CF/vae/models | models | train | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/benchmark/data_loader/datasets | datasets | __init__ | # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/Classification/ConvNets/model/blocks | blocks | conv2d_block | # 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 | benchmark_pretraining_lamb_phase2 | #! /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/Recommendation/WideAndDeep/triton/runner | runner | pipeline_impl | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
TensorFlow/Classification/ConvNets/utils | utils | var_storage | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ==============================================================================
# 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 Lice... |
TensorFlow/Classification | Classification | README | # Image Classification
Image classification is the task of categorizing an image into one of several predefined classes, often also giving a probability of the input belonging to a certain class. This task is crucial in understanding and analyzing images, and it comes quite effortlessly to human beings with our comple... |
TensorFlow2/Recommendation/WideAndDeep/triton/runner/maintainer | maintainer | container | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
PyTorch/Segmentation/MaskRCNN/pytorch/configs/quick_schedules | quick_schedules | rpn_R_50_C4_quick | MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50"
RPN_ONLY: True
RPN:
PRE_NMS_TOP_N_TEST: 12000
POST_NMS_TOP_N_TEST: 2000
DATASETS:
TRAIN: ("coco_2014_minival",)
TEST: ("coco_2014_minival",)
INPUT:
MIN_SIZE_TRAIN: 600
MAX_SIZE_TRAIN: 1000
MIN_SIZE_TES... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton/deployment_toolkit/model_analyzer | model_analyzer | model_analyzer_config | # 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/FastPitch | FastPitch | requirements | inflect
librosa==0.9.0
matplotlib
numpy
pynvml==11.0.0
scipy
tensorboardX==2.0
git+https://github.com/NVIDIA/dllogger@v1.0.0#egg=dllogger
|
TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/ops | ops | box_utils | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/Forecasting/TFT/triton/runner/maintainer | maintainer | container | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
PyTorch/SpeechRecognition/wav2vec2/utils | utils | download_utils | #!/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... |
PyTorch/SpeechRecognition/Jasper/platform | platform | DGX1-16GB_Jasper_AMP_8GPU | #!/bin/bash
NUM_GPUS=8 AMP=true BATCH_SIZE=64 GRAD_ACCUMULATION_STEPS=4 bash scripts/train.sh "$@"
|
TensorFlow/Detection/SSD/models/research/object_detection/core | core | box_list_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/Forecasting/TFT/scripts | scripts | benchmark | #! /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
#
# U... |
PyTorch/Classification/ConvNets/resnext101-32x4d/training/AMP | AMP | DGX1V_resnext101-32x4d_AMP_90E | python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnext101-32x4d --precision AMP --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
|
PyTorch/Recommendation/DLRM/dlrm/utils/checkpointing | checkpointing | model | # Copyright (c) 2021 NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
PyTorch/Detection/SSD/examples | examples | SSD300_FP32_EVAL | # This script evaluates SSD300 model in FP32 using 32 batch size on 1 GPU
# Usage: ./SSD300_FP32_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 --no-amp --data-layout channels_first --checkpoint $3 $... |
TensorFlow/Detection/SSD/models/research/object_detection/box_coders | box_coders | mean_stddev_box_coder | # 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/examples | examples | SSD320_FP16_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... |
PyTorch/SpeechSynthesis/FastPitch/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:=32}
: ${FILELIST:="phrases/devset10.tsv"}
: ${AMP:=false}
: ${TORCHSCRIPT:=true}
: ${WARMUP:=0}
: ${REPEATS:=1}
: ${CPU:=false}
: ${PHONE:=t... |
PyTorch/Recommendation/NCF | NCF | load | # Copyright (c) 2018, deepakn94. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file 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/wav2vec2/common/fairseq | fairseq | 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/LanguageModeling/BERT/distillation | distillation | data_augmentation | # 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... |
TensorFlow/Segmentation/UNet_3D_Medical/scripts | scripts | unet3d_train_benchmark | # 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/Detection/SSD/examples | examples | SSD300_FP16_8GPU | # This script launches SSD300 training in FP16 on 8 GPUs using 512 batch size (64 per GPU)
# Usage ./SSD300_FP16_8GPU.sh <path to this repository> <path to dataset> <additional flags>
torchrun --nproc_per_node=8 $1/main.py --backbone resnet50 --warmup 300 --bs 64 --data $2 ${@:3}
|
PyTorch/SpeechSynthesis/Tacotron2/filelists | filelists | ljs_audio_text_train_subset_300_filelist | LJSpeech-1.1/wavs/LJ040-0100.wav|she would sometimes take Lee with her, apparently leaving him alone in the car while she transacted her business.
LJSpeech-1.1/wavs/LJ011-0248.wav|Howard, strange to say, making no attempt to detain him; probably because Mullay promised to return a few days later, and to bring more mone... |
TensorFlow/Classification/ConvNets/utils | utils | bind_dgx_a100 | #!/bin/bash
if [[ -v SLURM_LOCALID ]]; then
echo "Bind using slurm localid"
LOCAL_ID=$SLURM_LOCALID
elif [[ -v OMPI_COMM_WORLD_LOCAL_RANK ]]; then
echo "Bind using OpenMPI env"
LOCAL_ID=$OMPI_COMM_WORLD_LOCAL_RANK
else
echo "Bind to first node"
LOCAL_ID=0
fi
case $LOCAL_ID in
0|1) exec num... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/synthesizer | synthesizer | __init__ | # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/Detection/Efficientdet/visualize | visualize | vis_utils | # 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/Recommendation/DLRM/notebooks | notebooks | DLRM_Triton_inference_demo | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# 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/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/Classification/GPUNet/triton/225ms-D/runner | runner | start_NVIDIA-DGX-A100-(1x-A100-80GB) | # 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/Forecasting/TFT/triton/runner | runner | start_NVIDIA-T4 | # 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/FastPitch/scripts | scripts | train_benchmark | #!/usr/bin/env bash
set -a
: ${AMP:=false}
: ${NUM_GPUS_SEQUENCE:="1 4 8"}
: ${EPOCHS:=30}
: ${OUTPUT_DIR:="./output"}
: ${BATCH_SIZE:=16}
for NUM_GPUS in $NUM_GPUS_SEQUENCE ; do
GRAD_ACCUMULATION=$((256 / $BATCH_SIZE / $NUM_GPUS ))
LOG_FILE=$OUTPUT_DIR/perf-train_amp-${AMP}_${NUM_GPUS}x${BATCH_SIZE}x${GRAD_... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp | trtis_cpp | run_trtis_server | #!/bin/bash
##
# 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, ... |
PyTorch/Detection/Efficientdet/data | data | __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/official/nlp/modeling/networks | networks | transformer_encoder_test | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/LanguageModeling/Transformer-XL/pytorch | pytorch | eval | # 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... |
TensorFlow/LanguageModeling/BERT/data | data | Downloader | # Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... |
PyTorch/Detection/Efficientdet/utils | utils | utils | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/Classification/GPUNet/triton/065ms/runner | runner | __main__ | # 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/Detection/SSD/examples | examples | SSD300_FP16_4GPU | # This script launches SSD300 training in FP16 on 4 GPUs using 256 batch size (64 per GPU)
# Usage ./SSD300_FP16_4GPU.sh <path to this repository> <path to dataset> <additional flags>
torchrun --nproc_per_node=4 $1/main.py --backbone resnet50 --warmup 300 --bs 64 --data $2 ${@:3}
|
TensorFlow2/Recommendation/WideAndDeep/triton/deployment_toolkit/triton_inference_runner | triton_inference_runner | runner | # 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/LanguageModeling/BART/utils | utils | generation_utils | # coding=utf-8
# Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved.
# Copyright 2018 The Google AI Language Team Authors, Facebook AI Research authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lic... |
TensorFlow/Segmentation/UNet_Industrial/model/layers | layers | normalization | #!/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/LanguageModeling/BERT/triton/deployment_toolkit | deployment_toolkit | extensions | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/Recommendation/WideAndDeep/triton/runner | runner | executor | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
TensorFlow2/LanguageModeling/BERT/official/modeling | modeling | model_training_utils_test | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/Segmentation/MaskRCNN/pytorch/configs/ci | ci | e2e_mask_rcnn_R_50_FPN_1x | MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "/data3/joc_checkpoints/pytorch/maskrcnn/R-50.pkl"
BACKBONE:
CONV_BODY: "R-50-FPN"
OUT_CHANNELS: 256
RPN:
USE_FPN: True
ANCHOR_STRIDE: (4, 8, 16, 32, 64)
PRE_NMS_TOP_N_TRAIN: 2000
PRE_NMS_TOP_N_TEST: 1000
POST_NMS_TOP_N_TEST: 1000
... |
PaddlePaddle/Classification/RN50v1.5/utils | utils | __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/trtis_cpp/src/trt/plugins/taco2AttentionPlugin | taco2AttentionPlugin | taco2AttentionLayerPluginCreator | /*
* 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/Detection/SSD/models/research/object_detection/meta_architectures | meta_architectures | ssd_meta_arch_test_lib | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow/Detection/SSD/models/research/object_detection/models | models | ssd_mobilenet_v2_feature_extractor_test | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/SpeechRecognition/QuartzNet/utils | utils | preprocessing_utils | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/Classification/ConvNets/efficientnet_v1/B0/evaluation | evaluation | evaluation_TF32_A100-80G | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/Recommendation/NCF | NCF | dataloading | # 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/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/waveglow | waveglow | waveGlowInstance | /*
* 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/data/outbrain/nvtabular/utils | utils | arguments | # 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/g3doc | g3doc | running_on_cloud | # Running on Google Cloud ML Engine
The Tensorflow Object Detection API supports distributed training on Google
Cloud ML Engine. This section documents instructions on how to train and
evaluate your model using Cloud ML. The reader should complete the following
prerequistes:
1. The reader has created and configured a... |
PyTorch/SpeechSynthesis/Tacotron2/notebooks/conversationalai/client/speech_ai_demo/utils/tacotron2 | tacotron2 | symbols | """ from https://github.com/keithito/tacotron """
'''
Defines the set of symbols used in text input to the model.
The default is a set of ASCII characters that works well for English or text that has been run through Unidecode. For other data, you can modify _characters. See TRAINING_DATA.md for details. '''
from uti... |
TensorFlow/Segmentation/UNet_Industrial/scripts | scripts | UNet_AMP_EVAL_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/LanguageModeling/BERT/triton/runner | runner | task | # 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 | WideAndDeep | .gitignore | # 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/scripts | scripts | prepare_mels | #!/usr/bin/env bash
set -e
DATADIR="LJSpeech-1.1"
FILELISTSDIR="filelists"
TESTLIST="$FILELISTSDIR/ljs_audio_text_test_filelist.txt"
TRAINLIST="$FILELISTSDIR/ljs_audio_text_train_filelist.txt"
VALLIST="$FILELISTSDIR/ljs_audio_text_val_filelist.txt"
TESTLIST_MEL="$FILELISTSDIR/ljs_mel_text_test_filelist.txt"
TRAINLI... |
PyTorch/Classification/GPUNet/triton/065ms/runner | runner | start_NVIDIA-DGX-1-(1x-V100-32GB) | # 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/notebooks/conversationalai | conversationalai | README |
## Model Preparation
### Clone the repository
```bash
git clone https://github.com/NVIDIA/DeepLearningExamples.git
cd DeepLearningExamples
```
You will build our ConversationalAI in the Tacotron2 folder:
```bash
cd DeepLearningExamples/PyTorch/SpeechSynthesis/Tacotron2/notebooks/conversationalai
```
### Download ... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/waveglow | waveglow | waveGlowLoader | /*
* 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/DLRM_and_DCNv2/tests/feature_specs | feature_specs | 10_num | 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/SpeechRecognition/Jasper/configs | configs | jasper10x5dr_speedp-offline_speca_nomask | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/data/datasets | datasets | coco | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
import os
import torch
import torchvision
import torch.multiprocessing as mp
from maskrcnn_benchmark.structures.image_list import to_image_list
from maskrcnn_benchmark.structures.bound... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/data | data | build | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved..
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
import bisect
import copy
import logging
import torch.utils.data
from maskrcnn_benchmark.data.datasets.coco import HybridDataLoader
from maskrcnn_benchmark.utils.comm import get_world... |
PyTorch/SpeechSynthesis/HiFiGAN | HiFiGAN | models | # 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... |
TensorFlow/Classification/ConvNets/utils | utils | dali_utils | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# 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/lic... |
PyTorch/Detection/Efficientdet/effdet/csrc/nms | nms | nms | // 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 ... |
TensorFlow2/Recommendation/WideAndDeep/data/outbrain/nvtabular/utils | utils | workflow | # 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/Segmentation/Contrib/UNet3P/data_generators | data_generators | data_generator | """
Data generator
"""
import os
import tensorflow as tf
from omegaconf import DictConfig
from utils.general_utils import join_paths, get_gpus_count
from .tf_data_generator import DataGenerator as tf_data_generator
try:
from .dali_data_generator import data_generator as dali_data_generator
except ModuleNotFoundEr... |
PyTorch/SpeechSynthesis/HiFiGAN/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... |
TensorFlow2/Recommendation/DLRM_and_DCNv2/dataloading | dataloading | dataloader | # 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/scripts | scripts | data_download | #!/usr/bin/env bash
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... |
TensorFlow/Classification/ConvNets | ConvNets | main | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# 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/lic... |
PyTorch/Recommendation/DLRM/tests/feature_specs | feature_specs | criteo_f15 | channel_spec:
categorical:
- cat_0.bin
- cat_1.bin
- cat_2.bin
- cat_3.bin
- cat_4.bin
- cat_5.bin
- cat_6.bin
- cat_7.bin
- cat_8.bin
- cat_9.bin
- cat_10.bin
- cat_11.bin
- cat_12.bin
- cat_13.bin
- cat_14.bin
- cat_15.bin
- cat_16.bin
- cat_17.bin
- cat_18.bin
- cat_19.bin
... |
PyTorch/Classification/ConvNets/resnet50v1.5/training/AMP | AMP | DGX2V_resnet50_AMP_250E | python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGX2V /imagenet --workspace ${1:-./} --raport-file raport.json
|
PyTorch/SpeechSynthesis/Tacotron2 | Tacotron2 | data_functions | # *****************************************************************************
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions... |
TensorFlow/Detection/SSD/models/research/object_detection/metrics | metrics | coco_evaluation_test | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow2/Recommendation/WideAndDeep/triton/deployment_toolkit/triton_performance_runner/perf_analyzer | perf_analyzer | runner | # 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/triton/065ms | 065ms | 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... |
TensorFlow/Segmentation/UNet_3D_Medical/runtime | runtime | parse_results | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/Detection/SSD/models/research/object_detection | object_detection | export_tflite_ssd_graph | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
TensorFlow2/LanguageModeling/BERT/official/utils/logs | logs | cloud_lib | # 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/Classification/ConvNets | ConvNets | main | # Copyright (c) 2018-2019, NVIDIA CORPORATION
# Copyright (c) 2017- Facebook, Inc
#
# 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 ... |
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