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https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#table-of-contents
Model overviewhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#model-overview
Model architecturehttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#model-architecture
Default configurationhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#default-configuration
Feature support matrixhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#feature-support-matrix
Featureshttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#features
Mixed Precision traininghttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#mixed-precision-training
Enabling Mixed Precisionhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#enabling-mixed-precision
Glossaryhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#glossary
Setuphttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#setup
Requirementshttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#requirements
Quick Start Guidehttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
Advancedhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#advanced
Scripts and sample codehttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#scripts-and-sample-code
Parametershttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#parameters
Command-line optionshttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#command-line-options
Getting the datahttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#getting-the-data
Dataset guidelineshttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#dataset-guidelines
Multi-datasethttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#multi-dataset
Training processhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-process
Pre-traininghttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training
Fine tuninghttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning
Inference processhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-process
Deploying the BERT model using TensorRT Inference Serverhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#deploying-the-bert-model-using-tensorrt-inference-server
Performance analysis for TensorRT Inference Serverhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#performance-analysis-for-tensorrt-inference-server
Advanced Detailshttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#advanced-details
Running the TensorRT Inference Server and clienthttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#running-the-tensorrt-inference-server-and-client
Performancehttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#performance
Benchmarkinghttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#benchmarking
Training performance benchmarkhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-benchmark
Inference performance benchmarkhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-benchmark
Resultshttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#results
Training accuracy resultshttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-accuracy-results
Training accuracy: NVIDIA DGX-1 (8x V100 32G)https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-accuracy-nvidia-dgx-1-(8x-v100-32G)
Training stability testhttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-stability-test
Training performance resultshttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-results
Training performance: NVIDIA DGX-1 (8x V100 16G)https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-1-8x-v100-16g
Training performance: NVIDIA DGX-1 (8x V100 32G)https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-1-8x-v100-32g
Training performance: NVIDIA DGX-2 (16x V100 32G)https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-2-16x-v100-32g
Inference performance resultshttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-results
Inference performance: NVIDIA DGX-1 (1x V100 16G)https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-1-1x-v100-16g
Inference performance: NVIDIA DGX-1 (1x V100 32G)https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-1-1x-v100-32g
Inference performance: NVIDIA DGX-2 (1x V100 32G)https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-2-1x-v100-32g
Release noteshttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#release-notes
Changeloghttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#changelog
Known issueshttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#known-issues
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#model-overview
BERT: Pre-training of Deep Bidirectional Transformers for Language Understandinghttps://arxiv.org/abs/1810.04805
Google's official implementationhttps://github.com/google-research/bert
Hugging Facehttps://github.com/huggingface/pytorch-pretrained-BERT
codertimohttps://github.com/codertimo/BERT-pytorch
gluon-nlphttps://github.com/dmlc/gluon-nlp/tree/master/scripts/bert
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#model-architecture
https://github.com/codeaudit/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/data/images/bert_pipeline.png?raw=true
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#default-configuration
Wikipediahttps://dumps.wikimedia.org/
Books Corpushttp://yknzhu.wixsite.com/mbweb
SQuADhttps://rajpurkar.github.io/SQuAD-explorer/
XLAhttps://www.tensorflow.org/xla
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#feature-support-matrix
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#features
Horovod: Official repositoryhttps://github.com/horovod/horovod
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#mixed-precision-training
Mixed precisionhttps://arxiv.org/abs/1710.03740
Tensor Coreshttps://developer.nvidia.com/tensor-cores
CUDA 8https://devblogs.nvidia.com/parallelforall/tag/fp16/
Mixed Precision Traininghttps://arxiv.org/abs/1710.03740
Training With Mixed Precisionhttps://docs.nvidia.com/deeplearning/sdk/Mixed-Precision-training/index.html
Mixed Precision Training of Deep Neural Networkshttps://devblogs.nvidia.com/mixed-precision-training-deep-neural-networks/
Using TF-AMPhttps://docs.nvidia.com/deeplearning/dgx/tensorflow-user-guide/index.html#tfamp
NVIDIA Apex: Tools for Easy Mixed Precision Training in PyTorchhttps://devblogs.nvidia.com/apex-pytorch-easy-mixed-precision-training/
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#enabling-mixed-precision
mixed precision methodologyhttps://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html#tensorflow
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#glossary
Attention Is All You Needhttps://arxiv.org/abs/1706.03762
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#setup
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#requirements
NVIDIA Dockerhttps://github.com/NVIDIA/nvidia-docker
TensorFlow 19.06-py3+https://ngc.nvidia.com/catalog/containers/nvidia:tensorflow
NVIDIA Voltahttps://www.nvidia.com/en-us/data-center/volta-gpu-architecture/
Turinghttps://www.nvidia.com/en-us/geforce/turing/
Getting Started Using NVIDIA GPU Cloudhttps://docs.nvidia.com/ngc/ngc-getting-started-guide/index.html
Accessing And Pulling From The NGC Container Registryhttps://docs.nvidia.com/deeplearning/frameworks/user-guide/index.html#accessing_registry
Running TensorFlowhttps://docs.nvidia.com/deeplearning/frameworks/tensorflow-release-notes/running.html#running
NVIDIA Container Support Matrixhttps://docs.nvidia.com/deeplearning/frameworks/support-matrix/index.html
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
NGC model cataloghttps://ngc.nvidia.com/catalog/models
paperhttps://arxiv.org/pdf/1810.04805.pdf
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#advanced
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#scripts-and-sample-code
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#parameters
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#command-line-options
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#getting-the-data
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#dataset-guidelines
WordPiece tokenizationhttps://arxiv.org/pdf/1609.08144.pdf
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#multi-dataset
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-process
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#pre-training
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#fine-tuning
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-process
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#deploying-the-bert-model-using-tensorrt-inference-server
NVIDIA TensorRT Inference Serverhttps://github.com/NVIDIA/tensorrt-inference-server
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#performance-analysis-for-tensorrt-inference-server
https://github.com/codeaudit/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/data/images/trtis_base_summary.png?raw=true
https://github.com/codeaudit/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/data/images/trtis_large_summary.png?raw=true
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#advanced-details
TensorRT Inference Server model confighttps://docs.nvidia.com/deeplearning/sdk/tensorrt-inference-server-guide/docs/model_configuration.html
perf_clienthttps://docs.nvidia.com/deeplearning/sdk/tensorrt-inference-server-guide/docs/client.html#performance-example-application
https://github.com/codeaudit/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/data/images/trtis_bs_1.png?raw=true
https://github.com/codeaudit/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/data/images/trtis_bs_8.png?raw=true
Dynamic Batcher parametershttps://docs.nvidia.com/deeplearning/sdk/tensorrt-inference-server-master-branch-guide/docs/model_configuration.html#dynamic-batcher
https://github.com/codeaudit/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/data/images/trtis_static.png?raw=true
https://github.com/codeaudit/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/data/images/trtis_dynamic.png?raw=true
https://github.com/codeaudit/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/data/images/trtis_ec_1.png?raw=true
https://github.com/codeaudit/DeepLearningExamples/blob/master/TensorFlow/LanguageModeling/BERT/data/images/trtis_ec_4.png?raw=true
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#run-the-tensorrt-inference-server-and-client
TensorRT Inference Server model confighttps://docs.nvidia.com/deeplearning/sdk/tensorrt-inference-server-guide/docs/model_configuration.html
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#performance
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#benchmarking
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-benchmark
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-benchmark
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#results
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-accuracy-results
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#nvidia-dgx-1-8x-v100-16g
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-stability-test
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-results
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-1-8x-v100-16g
Quick Start Guidehttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-1-8x-v100-32g
Quick Start Guidehttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#training-performance-nvidia-dgx-2-16x-v100-32g
Quick Start Guidehttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-results
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-1-1x-v100-16g
Quick Start Guidehttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-1-1x-v100-32g
Quick Start Guidehttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#inference-performance-nvidia-dgx-2-1x-v100-32g
Quick Start Guidehttps://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#quick-start-guide
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#release-notes
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#changelog
https://github.com/codeaudit/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT#known-issues
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