relative_path stringclasses 812
values | section stringclasses 339
values | filename stringlengths 2 61 | text stringlengths 6 1.76M |
|---|---|---|---|
TensorFlow/Detection/SSD/models/research/object_detection/builders | builders | matcher_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... |
CUDA-Optimized/FastSpeech/fastspeech/trt/plugins/add_pos_enc | add_pos_enc | AddPosEncPlugin | // 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 con... |
TensorFlow/Detection/SSD/models/research/object_detection/models | models | ssd_resnet_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... |
TensorFlow2/Segmentation/MaskRCNN/mrcnn_tf2/object_detection | object_detection | argmax_matcher | # 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/nnUNet/utils | utils | instance_norm | import importlib
import torch
from torch import Tensor
from torch.nn.modules.batchnorm import _NormBase
global instance_norm_nvfuser_cuda
instance_norm_nvfuser_cuda = None
class InstanceNormNVFuserFunction(torch.autograd.Function):
@staticmethod
def forward(ctx, input, weight, bias, running_mean, running_va... |
TensorFlow2/Segmentation/Contrib/UNet3P/data_generators | data_generators | tf_data_generator | """
Tensorflow data generator class.
"""
import tensorflow as tf
import numpy as np
from omegaconf import DictConfig
from utils.general_utils import get_data_paths
from utils.images_utils import prepare_image, prepare_mask
class DataGenerator(tf.keras.utils.Sequence):
"""
Generate batches of data for model b... |
TensorFlow/Detection/SSD/models/research/slim | slim | eval_image_classifier | # 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/SpeechSynthesis/HiFiGAN/platform | platform | DGX1_HiFi-GAN_AMP_4GPU | #!/bin/bash
set -a
: ${NUM_GPUS:=4}
: ${BATCH_SIZE:=32}
: ${GRAD_ACCUMULATION:=1}
: ${AMP:=true}
bash scripts/train_lj22khz.sh "$@"
|
PyTorch/Classification/GPUNet/triton/065ms/runner | runner | config_NVIDIA-DGX-A100-(1x-A100-80GB) | batching: dynamic
checkpoints:
- name: 0.65ms
url: https://api.ngc.nvidia.com/v2/models/nvidia/dle/gpunet_0_pyt_ckpt/versions/21.12.0_amp/zip
configurations:
- checkpoint: 0.65ms
parameters:
backend_accelerator: trt
checkpoint: 0.65ms
device_kind: gpu
export_format: onnx
export_precision: fp16
... |
TensorFlow/Detection/SSD/models/research/object_detection/core | core | data_decoder | # 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 | Tacotron2 | test_infer | # *****************************************************************************
# 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/predictors | predictors | rfcn_box_predictor | # 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/MaskRCNN/mrcnn_tf2/object_detection | object_detection | 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... |
PyTorch/LanguageModeling/BERT/distillation/BERT_4L_288D | BERT_4L_288D | config | {
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 288,
"initializer_range": 0.02,
"intermediate_size": 1152,
"max_position_embeddings": 512,
"num_attention_heads": 12,
"num_hidden_layers": 4,
"type_vocab_size": 2,
"vocab_size": 30528
} |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/modeling | modeling | poolers | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
import torch
import torch.nn.functional as F
from torch import nn
from maskrcnn_benchmark.layers import ROIAlign
from .utils import cat
class LevelMapper(object):
"""Determine w... |
TensorFlow/Recommendation/WideAndDeep/preproc | preproc | preproc3 | #!/usr/bin/env python
# coding: utf-8
# 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/LI... |
PyTorch/Segmentation/MaskRCNN/pytorch/configs/caffe2 | caffe2 | e2e_mask_rcnn_X_101_32x8d_FPN_1x_caffe2 | MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://Caffe2Detectron/COCO/36761843/e2e_mask_rcnn_X-101-32x8d-FPN_1x"
BACKBONE:
CONV_BODY: "R-101-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
PO... |
PyTorch/LanguageModeling/BERT/triton/deployment_toolkit/model_analyzer | model_analyzer | model_analyzer_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... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/modeling/backbone | backbone | __init__ | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from .backbone import build_backbone
|
MxNet/Classification/RN50v1.5 | RN50v1.5 | global_metrics | import numpy as np
class CompositeMeter:
def __init__(self):
self.register = {}
def register_metric(self, name, metric):
self.register[name] = metric
def _validate(self, metric_name):
if metric_name not in self.register:
raise ValueError('{} is not registered metric'.... |
TensorFlow/Detection/SSD/models/research/object_detection/builders | builders | losses_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/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | engineDriver | /*
* 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 | conv2d_same | """ Conv2d 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 at... |
Tools/PyTorch/TimeSeriesPredictionPlatform/models/tft_pyt/triton/deployment_toolkit/model_analyzer | model_analyzer | __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... |
PyTorch/LanguageModeling/BART/utils | utils | generation_logits_process | # coding=utf-8
# Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved.
# Copyright 2020 The HuggingFace Inc. team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apac... |
PyTorch/SpeechSynthesis/FastPitch/notebooks | notebooks | README | # FastPitch: Voice Modification with Transformations of Pitch
This readme details how to run the Jupyter notebook for FastPitch inference using different pitch transformations.
## Build and run the FastPitch Docker container
1. Clone the repository:
```
git clone https://github.com/NVIDIA/DeepLearningExamples.... |
TensorFlow2/LanguageModeling/BERT/official/nlp/modeling/layers | layers | transformer_scaffold | # 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... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/utils/types | types | str_enum | # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/LanguageModeling/BERT/scripts/docker | docker | launch | #!/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 requir... |
PaddlePaddle/LanguageModeling/BERT | BERT | lr_scheduler | # Copyright (c) 2022 NVIDIA Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
Tools/DGLPyTorch/SyntheticGraphGeneration/syngen/generator/tabular | tabular | chunked_tabular_generator | # 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/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/modeling/detector | detector | __init__ | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from .detectors import build_detection_model
|
TensorFlow/Detection/SSD/models/research/object_detection/samples/configs | configs | faster_rcnn_resnet50_pets | # Faster R-CNN with Resnet-50 (v1), configured for Oxford-IIIT Pets Dataset.
# Users should configure the fine_tune_checkpoint field in the train config as
# well as the label_map_path and input_path fields in the train_input_reader and
# eval_input_reader. Search for "PATH_TO_BE_CONFIGURED" to find the fields that
# s... |
PyTorch/SpeechRecognition/QuartzNet/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 requi... |
PyTorch/SpeechRecognition/wav2vec2/common/fairseq/modules | modules | fp32_group_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... |
DGLPyTorch/DrugDiscovery/SE3Transformer/se3_transformer/model/layers | layers | convolution | # Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the righ... |
TensorFlow/LanguageModeling/BERT/biobert/scripts | scripts | biobert_finetune_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 required... |
PyTorch/Recommendation/DLRM/dlrm/cuda_src/dot_based_interact_ampere | dot_based_interact_ampere | dot_based_interact_pytorch_types | #include <torch/extension.h>
#include <torch/types.h>
#include <stdexcept>
#include "../dot_based_interact/dot_based_interact_fp16_fwd.cu"
#include "../dot_based_interact/dot_based_interact_fp16_bwd.cu"
#include "../dot_based_interact/dot_based_interact_tf32_fwd.cu"
#include "../dot_based_interact/dot_based_interact_t... |
PyTorch/Segmentation/MaskRCNN/pytorch/configs/cityscapes | cityscapes | e2e_mask_rcnn_R_50_FPN_1x_cocostyle | MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50"
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
FPN_POS... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | binding | /*
* 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... |
CUDA-Optimized/FastSpeech/fastspeech/inferencer | inferencer | inferencer | # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditio... |
PyTorch/SpeechSynthesis/Tacotron2/filelists | filelists | ljs_audio_text_test_filelist | LJSpeech-1.1/wavs/LJ045-0096.wav|Mrs. De Mohrenschildt thought that Oswald,
LJSpeech-1.1/wavs/LJ049-0022.wav|The Secret Service believed that it was very doubtful that any President would ride regularly in a vehicle with a fixed top, even though transparent.
LJSpeech-1.1/wavs/LJ033-0042.wav|Between the hours of eight a... |
PyTorch/LanguageModeling/BART/bart/modeling | modeling | modeling_outputs | # 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/Classification/ConvNets/model | model | efficientnet_model_v2 | # Lint as: 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
#
# Unless... |
TensorFlow/Detection/SSD/models/research/object_detection/models | models | ssd_pnasnet_feature_extractor_test | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/Segmentation/MaskRCNN/pytorch/demo | demo | predictor | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import cv2
import torch
from torchvision import transforms as T
from maskrcnn_benchmark.modeling.detector import build_detection_model
from maskrcnn_benchmark.utils.checkpoint import DetectronCheckpointer
from maskrcnn_benchmark.structures.image_l... |
Tools/PyTorch/TimeSeriesPredictionPlatform/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/runner | runner | executor | # 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 | keypoint_ops | # 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/trtis_cpp/src/trt/tacotron2 | tacotron2 | postNetBuilder | /*
* 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/nnUNet/scripts | scripts | inference | # 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/Recommendation/VAE-CF | VAE-CF | requirements | git+https://github.com/NVIDIA/dllogger#egg=dllogger
mpi4py
sklearn
pandas |
PyTorch/SpeechSynthesis/Tacotron2/tacotron2 | tacotron2 | loss_function | # *****************************************************************************
# 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... |
PyTorch/SpeechSynthesis/Tacotron2 | Tacotron2 | .gitignore | __pycache__/
/checkpoints/
/output/
nvlog.json
|
TensorFlow/Classification/ConvNets/utils/hooks | hooks | benchmark_hooks | #! /usr/bin/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/licens... |
TensorFlow/Classification/ConvNets/resnet50v1.5/training | training | DGX1_RN50_FP32_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... |
TensorFlow/Detection/SSD/models/research/object_detection/core | core | anchor_generator | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
PyTorch/SpeechRecognition/wav2vec2/common/fairseq/data/audio | audio | raw_audio_dataset | # 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... |
TensorFlow2/Recommendation/WideAndDeep/triton/runner | runner | config_NVIDIA-T4 | batching: dynamic
checkpoints:
- name: widedeep_tf2_amp_base_128k_nvtabular
url: ''
configurations:
- checkpoint: widedeep_tf2_amp_base_128k_nvtabular
parameters:
backend_accelerator: amp
checkpoint: widedeep_tf2_amp_base_128k_nvtabular
device_kind: gpu
export_format: tf-savedmodel
export_precis... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/util | util | pluginBuilder | /*
* 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/deployment/deployment_toolkit/triton_performance_runner/perf_analyzer | perf_analyzer | 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/SpeechSynthesis/Tacotron2/platform | platform | DGXA100_waveglow_TF32_4NGPU_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/LanguageModeling/BERT/official/nlp/modeling/layers | layers | on_device_embedding | # 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/Detection/SSD/models/research/object_detection/samples/configs | configs | faster_rcnn_inception_resnet_v2_atrous_oid | # Faster R-CNN with Inception Resnet v2, Atrous version;
# Configured for Open Images Dataset.
# Users should configure the fine_tune_checkpoint field in the train config as
# well as the label_map_path and input_path fields in the train_input_reader and
# eval_input_reader. Search for "PATH_TO_BE_CONFIGURED" to find t... |
TensorFlow/LanguageModeling/Transformer-XL/tf | tf | exp_utils | # 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... |
PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp/src/trt/plugins/taco2DenoiseTransformPlugin | taco2DenoiseTransformPlugin | taco2DenoiseTransformLayerPlugin | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this l... |
Tools/PyTorch/TimeSeriesPredictionPlatform/triton | triton | model | # Copyright (c) 2021-2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | np_mask_ops | # 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_Industrial/utils | utils | losses | # !/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/Segmentation/MaskRCNN/mrcnn_tf2/model/models/resnet50 | resnet50 | bottleneck_group | import tensorflow as tf
from mrcnn_tf2.model.models.resnet50 import BottleneckBlock
class BottleneckGroup(tf.keras.layers.Layer):
def __init__(self, blocks, filters, strides, trainable=True):
super().__init__(trainable=trainable)
self.blocks = []
for block_id in range(blocks):
... |
PyTorch/Classification/GPUNet/triton/deployment_toolkit | deployment_toolkit | args | # Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow/Classification/ConvNets/se-resnext101-32x4d/training | training | DGX2_SE-RNxt101-32x4d_FP32_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... |
TensorFlow2/Segmentation/Contrib/UNet3P | UNet3P | .gitignore | .idea
__pycache__
checkpoint/tb_logs/*
checkpoint/*.hdf5
checkpoint/*.csv
!checkpoint/tb_logs/.gitkeep
#data/*
/data/**/*.png
/data/**/*.jpg
/data/**/*.nii
!data/**/.gitkeep
data_preparation/verify_preprocess_data.ipynb
old_data_preperation/
others/
**/outputs |
PyTorch/Translation/GNMT | GNMT | requirements | pytablewriter==0.64.0
sacrebleu==1.2.10
sacremoses==0.0.19
pynvml==8.0.4
git+https://github.com/rsennrich/subword-nmt.git@48ba99e657591c329e0003f0c6e32e493fa959ef
|
TensorFlow2/Detection/Efficientdet/model | model | efficientdet_keras | # 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... |
CUDA-Optimized/FastSpeech/fastspeech/dataset | dataset | __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/Forecasting/TFT/triton/deployment_toolkit/perf_analyzer | perf_analyzer | __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... |
TensorFlow/Detection/SSD/models/research/object_detection/builders | builders | dataset_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/WideAndDeep/triton/runner/maintainer | maintainer | __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/DrugDiscovery/MoFlow/moflow/runtime | runtime | logger | # 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_FP16_8GPU_BENCHMARK | # 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/trtis_cpp/src/trt/util | util | dropoutGenerator | /*
* 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/Classification/GPUNet/triton/runner/maintainer/docker | docker | container | # 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/HiFiGAN/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... |
PyTorch/Translation/Transformer/fairseq | fairseq | criterions | import torch.nn.functional as F
from torch.nn.modules.loss import _Loss
class CrossEntropyCriterion(_Loss):
def __init__(self, args):
super().__init__()
self.padding_idx = args.padding_idx
def forward(self, norm_probs, target, reduce=True):
"""Compute the loss for the given sample.
... |
PyTorch/LanguageModeling/BERT/triton/dist6l | dist6l | README | # Deploying the BERT 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 o... |
DGLPyTorch/DrugDiscovery/SE3Transformer/se3_transformer/runtime | runtime | metrics | # Copyright (c) 2021-2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the righ... |
PyTorch/Segmentation/MaskRCNN/pytorch/maskrcnn_benchmark/layers | layers | roi_pool | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from maskrcnn_benchmark import _C
class _ROIPool(Function):
@staticmethod
... |
TensorFlow/Detection/SSD/models/research/object_detection/core | core | freezable_batch_norm | # 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/Classification/ConvNets/efficientnet_v1/B0/evaluation | evaluation | evaluation_AMP_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... |
TensorFlow/Detection/SSD/examples | examples | SSD320_FP16_4GPU_BENCHMARK | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
PyTorch/SpeechSynthesis/Tacotron2/notebooks/conversationalai/model_repo/jasper-trt-ensemble | jasper-trt-ensemble | config | name: "jasper-trt-ensemble"
platform: "ensemble"
max_batch_size: 1#MAX_BATCH
input {
name: "AUDIO_SIGNAL"
data_type: TYPE_FP32
dims: -1#AUDIO_LENGTH
}
input {
name: "NUM_SAMPLES"
data_type: TYPE_INT32
dims: [ 1 ]
}
output {
name: "TRANSCRIPT"
data_type: TYPE_INT32
dims: [-1]
}
ensemble_schedulin... |
TensorFlow2/Segmentation/nnUNet | nnUNet | main | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
TensorFlow2/Recommendation/WideAndDeep/triton/runner | runner | preparer | # 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/perf_analyzer | perf_analyzer | perf_analyzer | # 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/Classification/ConvNets/resnet50v1.5/training | training | DGXA100_RN50_TF32_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... |
TensorFlow/Detection/SSD/models/research/object_detection/utils | utils | object_detection_evaluation | # 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... |
Tools/PyTorch/TimeSeriesPredictionPlatform/conf/model_dataset | model_dataset | auto_arima_electricity | # 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/HiFiGAN/common | common | audio_processing | # *****************************************************************************
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions... |
PyTorch/LanguageModeling/BART/bart/tokenization | tokenization | tokenization_roberta | # coding=utf-8
# Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved.
# Copyright 2018 The Open AI Team 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 License.
# You may obtain a copy of the Lice... |
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