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36 changes: 36 additions & 0 deletions 404.html
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layout: about
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29 changes: 29 additions & 0 deletions LICENSE
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BSD 3-Clause License

Copyright (c) 2018, 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 copyright notice, this
list of conditions and the following disclaimer.

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this list of conditions and the following disclaimer in the documentation
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* Neither the name of the copyright holder nor the names of its
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2 changes: 1 addition & 1 deletion _config.yml
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url: http://pytorch.org
url: https://pytorch.org
name: PyTorch
description: 'Scientific Computing...'
latest_version: 1.0
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<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=1,user-scalable=no">

<meta property="og:url" content="http://pytorch.org/about"/>
<meta property="og:title" content="About PyTorch"/>
<meta property="og:description"
content="Tensors and Dynamic neural networks in Python
with strong GPU acceleration."/>
<meta property="og:image" content="/static/img/logos/pytorch-logo-dark.png"/>

<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Open+Sans:200,300,400,600,700">
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integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u"
crossorigin="anonymous">
<link rel="stylesheet" href="/static/css/main.css">
</head>
<body id="{{ page.id }}">

{% include header.html %}

<section class="content wrap">
<div class="container">
{{ content }}
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{% include footer.html %}

</body>
</html>
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integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u"
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15 changes: 11 additions & 4 deletions _layouts/default.html
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<head>
<link rel="shortcut icon" type="image/x-icon" href="favicon.ico">
<title>{{ page.title }}</title>
<meta property="og:title" content="PyTorch"/>
<meta property="og:description"
content="Tensors and Dynamic neural networks in Python
with strong GPU acceleration."/>
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<link rel="stylesheet"
href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css"
integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u"
<link rel="stylesheet"
href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css"
integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u"
crossorigin="anonymous">
<link rel="stylesheet" href="/static/css/main.css">

</head>
<body id="{{ page.id }}">

{% include header.html %}

{{ content }}

{% include footer.html %}
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<meta charset="utf-8">
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href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css"
integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u"
<link rel="stylesheet"
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integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u"
crossorigin="anonymous">
<link rel="stylesheet" href="/static/css/main.css">
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16 changes: 11 additions & 5 deletions _layouts/tutorial.html
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<meta charset="utf-8">
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<link rel="stylesheet"
href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css"
integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u"
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crossorigin="anonymous">
<link rel="stylesheet" href="/static/css/main.css">
</head>
<body id="{{ page.id }}">

{% include header.html %}

<section class="content wrap">
<div class="container">
{{ content }}
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{% include footer.html %}

</body>
</html>
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2 changes: 1 addition & 1 deletion _posts/2018-04-22-0_4_0-migration-guide.md
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## Support for 0-dimensional (scalar) Tensors

Previously, indexing into a ``Tensor`` vector (1-dimensional tensor) gave a Python number but indexing into a ``Variable`` vector gave (incosistently!) a vector of size ``(1,)``! Similar behavior existed with reduction functions, e.g. `tensor.sum()` would return a Python number, but `variable.sum()` would retun a vector of size `(1,)`.
Previously, indexing into a ``Tensor`` vector (1-dimensional tensor) gave a Python number but indexing into a ``Variable`` vector gave (incosistently!) a vector of size ``(1,)``! Similar behavior existed with reduction functions, e.g. `tensor.sum()` would return a Python number, but `variable.sum()` would return a vector of size `(1,)`.

Fortunately, this release introduces proper scalar (0-dimensional tensor) support in PyTorch! Scalars can be created using the new `torch.tensor` function (which will be explained in more detail later; for now just think of it as the PyTorch equivalent of `numpy.array`). Now you can do things like:

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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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