WIP: creating files.

beginner_source/triton/1_basics/1_intro_to_triton.py

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

beginner_source/triton/1_basics/2_getting_started_with_triton.py

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

beginner_source/triton/1_basics/3_triton_cuda.py

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

beginner_source/triton/1_basics/4_gpu_kernels.py

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