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‎beginner_source/triton/1_basics/1_intro_to_triton.py‎

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# -*- coding: utf-8 -*-
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"""
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Template Tutorial
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=================
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**Author:** `FirstName LastName <https://github.com/username>`_
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.. grid:: 2
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.. grid-item-card:: :octicon:`mortar-board;1em;` What you will learn
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:class-card: card-prerequisites
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* Item 1
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* Item 2
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* Item 3
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.. grid-item-card:: :octicon:`list-unordered;1em;` Prerequisites
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:class-card: card-prerequisites
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* PyTorch v2.0.0
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* GPU ???
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* Other items 3
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If you have a video, add it here like this:
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.. raw:: html
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<div style="margin-top:10px; margin-bottom:10px;">
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<iframe width="560" height="315" src="https://www.youtube.com/embed/IC0_FRiX-sw" frameborder="0" allow="accelerometer; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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</div>
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To test your tutorial locally, you can do one of the following:
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* You can control specific files that generate the results by using
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``GALLERY_PATTERN`` environment variable. The GALLERY_PATTERN variable
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respects regular expressions.
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For example to run only ``neural_style_transfer_tutorial.py``,
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use the following command:
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.. code-block:: sh
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GALLERY_PATTERN="neural_style_transfer_tutorial.py" make html
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or
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.. code-block:: sh
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GALLERY_PATTERN="neural_style_transfer_tutorial.py" sphinx-build . _build
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* Make a copy of this repository and add only your
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tutorial to the `beginner_source` directory removing all other tutorials.
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Then run ``make html``.
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Verify that all outputs were generated correctly in the created HTML.
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"""
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#########################################################################
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# Overview
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# --------
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#
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# Describe Why is this topic important? Add Links to relevant research papers.
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#
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# This tutorial walks you through the process of....
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#
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# Steps
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# -----
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#
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# Example code (the output below is generated automatically):
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#
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import torch
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x = torch.rand(5, 3)
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print(x)
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######################################################################
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# (Optional) Additional Exercises
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# -------------------------------
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#
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# Add additional practice exercises for users to test their knowledge.
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# Example: `NLP from Scratch <https://pytorch.org/tutorials/intermediate/char_rnn_generation_tutorial.html#exercises>`__.
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#
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######################################################################
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# Conclusion
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# ----------
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#
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# Summarize the steps and concepts covered. Highlight key takeaways.
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#
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# Further Reading
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# ---------------
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#
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# * Link1
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# * Link2

‎beginner_source/triton/1_basics/2_getting_started_with_triton.py‎

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# -*- coding: utf-8 -*-
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"""
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Template Tutorial
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=================
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**Author:** `FirstName LastName <https://github.com/username>`_
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.. grid:: 2
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.. grid-item-card:: :octicon:`mortar-board;1em;` What you will learn
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:class-card: card-prerequisites
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* Item 1
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* Item 2
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* Item 3
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.. grid-item-card:: :octicon:`list-unordered;1em;` Prerequisites
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:class-card: card-prerequisites
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* PyTorch v2.0.0
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* GPU ???
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* Other items 3
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25+
If you have a video, add it here like this:
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27+
.. raw:: html
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<div style="margin-top:10px; margin-bottom:10px;">
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<iframe width="560" height="315" src="https://www.youtube.com/embed/IC0_FRiX-sw" frameborder="0" allow="accelerometer; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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</div>
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To test your tutorial locally, you can do one of the following:
34+
35+
* You can control specific files that generate the results by using
36+
``GALLERY_PATTERN`` environment variable. The GALLERY_PATTERN variable
37+
respects regular expressions.
38+
For example to run only ``neural_style_transfer_tutorial.py``,
39+
use the following command:
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.. code-block:: sh
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GALLERY_PATTERN="neural_style_transfer_tutorial.py" make html
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or
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.. code-block:: sh
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GALLERY_PATTERN="neural_style_transfer_tutorial.py" sphinx-build . _build
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* Make a copy of this repository and add only your
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tutorial to the `beginner_source` directory removing all other tutorials.
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Then run ``make html``.
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Verify that all outputs were generated correctly in the created HTML.
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"""
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#########################################################################
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# Overview
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# --------
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#
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# Describe Why is this topic important? Add Links to relevant research papers.
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#
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# This tutorial walks you through the process of....
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#
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# Steps
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# -----
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#
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# Example code (the output below is generated automatically):
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#
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import torch
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x = torch.rand(5, 3)
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print(x)
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######################################################################
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# (Optional) Additional Exercises
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# -------------------------------
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#
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# Add additional practice exercises for users to test their knowledge.
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# Example: `NLP from Scratch <https://pytorch.org/tutorials/intermediate/char_rnn_generation_tutorial.html#exercises>`__.
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#
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######################################################################
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# Conclusion
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# ----------
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#
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# Summarize the steps and concepts covered. Highlight key takeaways.
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#
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# Further Reading
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# ---------------
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#
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# * Link1
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# * Link2

‎beginner_source/triton/1_basics/3_triton_cuda.py‎

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# -*- coding: utf-8 -*-
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"""
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Template Tutorial
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=================
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**Author:** `FirstName LastName <https://github.com/username>`_
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.. grid:: 2
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.. grid-item-card:: :octicon:`mortar-board;1em;` What you will learn
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:class-card: card-prerequisites
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* Item 1
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* Item 2
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* Item 3
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.. grid-item-card:: :octicon:`list-unordered;1em;` Prerequisites
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:class-card: card-prerequisites
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* PyTorch v2.0.0
22+
* GPU ???
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* Other items 3
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25+
If you have a video, add it here like this:
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.. raw:: html
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<div style="margin-top:10px; margin-bottom:10px;">
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<iframe width="560" height="315" src="https://www.youtube.com/embed/IC0_FRiX-sw" frameborder="0" allow="accelerometer; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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</div>
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To test your tutorial locally, you can do one of the following:
34+
35+
* You can control specific files that generate the results by using
36+
``GALLERY_PATTERN`` environment variable. The GALLERY_PATTERN variable
37+
respects regular expressions.
38+
For example to run only ``neural_style_transfer_tutorial.py``,
39+
use the following command:
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.. code-block:: sh
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GALLERY_PATTERN="neural_style_transfer_tutorial.py" make html
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or
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.. code-block:: sh
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GALLERY_PATTERN="neural_style_transfer_tutorial.py" sphinx-build . _build
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* Make a copy of this repository and add only your
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tutorial to the `beginner_source` directory removing all other tutorials.
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Then run ``make html``.
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Verify that all outputs were generated correctly in the created HTML.
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"""
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#########################################################################
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# Overview
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# --------
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#
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# Describe Why is this topic important? Add Links to relevant research papers.
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#
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# This tutorial walks you through the process of....
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#
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# Steps
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# -----
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#
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# Example code (the output below is generated automatically):
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#
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import torch
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x = torch.rand(5, 3)
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print(x)
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######################################################################
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# (Optional) Additional Exercises
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# -------------------------------
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#
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# Add additional practice exercises for users to test their knowledge.
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# Example: `NLP from Scratch <https://pytorch.org/tutorials/intermediate/char_rnn_generation_tutorial.html#exercises>`__.
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#
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######################################################################
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# Conclusion
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# ----------
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#
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# Summarize the steps and concepts covered. Highlight key takeaways.
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#
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# Further Reading
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# ---------------
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#
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# * Link1
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# * Link2

‎beginner_source/triton/1_basics/4_gpu_kernels.py‎

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# -*- coding: utf-8 -*-
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"""
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Template Tutorial
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=================
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**Author:** `FirstName LastName <https://github.com/username>`_
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.. grid:: 2
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.. grid-item-card:: :octicon:`mortar-board;1em;` What you will learn
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:class-card: card-prerequisites
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* Item 1
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* Item 2
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* Item 3
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.. grid-item-card:: :octicon:`list-unordered;1em;` Prerequisites
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:class-card: card-prerequisites
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21+
* PyTorch v2.0.0
22+
* GPU ???
23+
* Other items 3
24+
25+
If you have a video, add it here like this:
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27+
.. raw:: html
28+
29+
<div style="margin-top:10px; margin-bottom:10px;">
30+
<iframe width="560" height="315" src="https://www.youtube.com/embed/IC0_FRiX-sw" frameborder="0" allow="accelerometer; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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</div>
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To test your tutorial locally, you can do one of the following:
34+
35+
* You can control specific files that generate the results by using
36+
``GALLERY_PATTERN`` environment variable. The GALLERY_PATTERN variable
37+
respects regular expressions.
38+
For example to run only ``neural_style_transfer_tutorial.py``,
39+
use the following command:
40+
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.. code-block:: sh
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GALLERY_PATTERN="neural_style_transfer_tutorial.py" make html
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or
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.. code-block:: sh
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GALLERY_PATTERN="neural_style_transfer_tutorial.py" sphinx-build . _build
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* Make a copy of this repository and add only your
52+
tutorial to the `beginner_source` directory removing all other tutorials.
53+
Then run ``make html``.
54+
55+
Verify that all outputs were generated correctly in the created HTML.
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"""
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#########################################################################
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# Overview
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# --------
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#
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# Describe Why is this topic important? Add Links to relevant research papers.
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#
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# This tutorial walks you through the process of....
65+
#
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# Steps
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# -----
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#
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# Example code (the output below is generated automatically):
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#
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import torch
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x = torch.rand(5, 3)
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print(x)
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######################################################################
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# (Optional) Additional Exercises
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# -------------------------------
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#
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# Add additional practice exercises for users to test their knowledge.
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# Example: `NLP from Scratch <https://pytorch.org/tutorials/intermediate/char_rnn_generation_tutorial.html#exercises>`__.
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#
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######################################################################
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# Conclusion
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# ----------
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#
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# Summarize the steps and concepts covered. Highlight key takeaways.
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#
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# Further Reading
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# ---------------
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#
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# * Link1
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# * Link2

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