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README.md

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# Asking a question
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If you have a question about a tutorial, post in https://dev-discuss.pytorch.org/ rather than creating an issue in this repo. Your question will be answered much faster on the dev-discuss forum.
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If you hve a qestion about a tutorial, post in https://dev-discuss.pytorch.org/ rather than creating an issue in this repo. Your question will be answered much faster on the dev-discuss forum.
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# Submitting an issue
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We use sphinx-gallery's [notebook styled examples](https://sphinx-gallery.github.io/stable/tutorials/index.html) to create the tutorials. Syntax is very simple. In essence, you write a slightly well formatted Python file and it shows up as an HTML page. In addition, a Jupyter notebook is autogenerated and available to run in Google Colab.
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Here is how you can create a new tutorial (for a detailed description, see [CONTRIBUTING.md](./CONTRIBUTING.md)):
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Here is how you can ceate a new tutorial (for a detailed description, see [CONTRIBUTING.md](./CONTRIBUTING.md)):
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NOTE: Before submitting a new tutorial, read [PyTorch Tutorial Submission Policy](./tutorial_submission_policy.md).
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beginner_source/colab.rst

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PyTorch Version in Google Colab
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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When you are running a tutorial that requires a version of PyTorch that has
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just been released, that version might not be yet available in Google Colab.
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Wen you are running a tutorial that requires a version of PyTorch that has
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jst been released, that version might not be yet available in Google Colab.
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To check that you have the required ``torch`` and compatible domain libraries
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installed, run ``!pip list``.
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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We've added a new feature to tutorials that allows users to open the
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notebook associated with a tutorial in Google Colab. You may need to
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ntebook associated with a tutorial in Google Colab. You may need to
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copy data to your Google drive account to get the more complex tutorials
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to work.
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beginner_source/introyt/tensors_deeper_tutorial.py

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##########################################################################
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# Let’s unpack what we just did:
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# Let’s upack what we just did:
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#
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# - We created a tensor using one of the numerous factory methods
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# attached to the ``torch`` module.
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#########################################################################
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# The factory methods all do just what you’d expect - we have a tensor
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# The fctory methods all do just what you’d expect - we have a tensor
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# full of zeros, another full of ones, and another with random values
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# between 0 and 1.
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#

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