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Seth Weidman
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Remove numbers from tutorial names
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advanced_source/cpp_export.rst

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3. Loading a TorchScript Model in C++
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Loading a TorchScript Model in C++
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**This tutorial was updated to work with PyTorch 1.2**

advanced_source/super_resolution_with_onnxruntime.py

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"""
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4. (optional) Exporting a Model from PyTorch to ONNX and Running it using ONNX Runtime
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(optional) Exporting a Model from PyTorch to ONNX and Running it using ONNX Runtime
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========================================================================
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In this tutorial, we describe how to convert a model defined

beginner_source/Intro_to_TorchScript_tutorial.py

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"""
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2. Introduction to TorchScript
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Introduction to TorchScript
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===========================
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*James Reed (jamesreed@fb.com), Michael Suo (suo@fb.com)*, rev2

beginner_source/aws_distributed_training_tutorial.py

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"""
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4. (advanced) PyTorch 1.0 Distributed Trainer with Amazon AWS
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(advanced) PyTorch 1.0 Distributed Trainer with Amazon AWS
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=============================================================
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**Author**: `Nathan Inkawhich <https://github.com/inkawhich>`_

intermediate_source/ddp_tutorial.rst

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2. Getting Started with Distributed Data Parallel
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Getting Started with Distributed Data Parallel
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=================================================
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**Author**: `Shen Li <https://mrshenli.github.io/>`_
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intermediate_source/dist_tuto.rst

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3. Writing Distributed Applications with PyTorch
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Writing Distributed Applications with PyTorch
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**Author**: `Séb Arnold <https://seba1511.com>`_
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intermediate_source/flask_rest_api_tutorial.py

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# -*- coding: utf-8 -*-
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"""
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1. Deploying PyTorch in Python via a REST API with Flask
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Deploying PyTorch in Python via a REST API with Flask
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**Author**: `Avinash Sajjanshetty <https://avi.im>`_
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intermediate_source/model_parallel_tutorial.py

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# -*- coding: utf-8 -*-
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"""
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1. Model Parallel Best Practices
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Model Parallel Best Practices
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**Author**: `Shen Li <https://mrshenli.github.io/>`_
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