[GH-PAGES] Updated website

2022-06-05 21:05:02 +00:00
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+:orphan:
+
+
+
+.. _sphx_glr_getting-started_tutorials:
+
+Tutorials
+==================
+
+Below is a gallery of tutorials for writing various basic operations with Triton. It is recommended that you read through the tutorials in order, starting with the simplest one.
+
+To install the dependencies for the tutorials:
+
+.. code-block:: bash
+
+    cd triton
+    pip install -e './python[tutorials]'
+
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="- The basic programming model of Triton - The triton.jit decorator, which is used to define Tri...">
+
+.. only:: html
+
+ .. figure:: /getting-started/tutorials/images/thumb/sphx_glr_01-vector-add_thumb.png
+     :alt: Vector Addition
+
+     :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /getting-started/tutorials/01-vector-add
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="- The benefits of kernel fusion for bandwidth-bound operations. - Reduction operators in Triton...">
+
+.. only:: html
+
+ .. figure:: /getting-started/tutorials/images/thumb/sphx_glr_02-fused-softmax_thumb.png
+     :alt: Fused Softmax
+
+     :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /getting-started/tutorials/02-fused-softmax
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="- Block-level matrix multiplications - Multi-dimensional pointer arithmetic - Program re-orderi...">
+
+.. only:: html
+
+ .. figure:: /getting-started/tutorials/images/thumb/sphx_glr_03-matrix-multiplication_thumb.png
+     :alt: Matrix Multiplication
+
+     :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /getting-started/tutorials/03-matrix-multiplication
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="In this tutorial, you will write a memory-efficient implementation of dropout whose state will ...">
+
+.. only:: html
+
+ .. figure:: /getting-started/tutorials/images/thumb/sphx_glr_04-low-memory-dropout_thumb.png
+     :alt: Low-Memory Dropout
+
+     :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /getting-started/tutorials/04-low-memory-dropout
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="Layer Normalization">
+
+.. only:: html
+
+ .. figure:: /getting-started/tutorials/images/thumb/sphx_glr_05-layer-norm_thumb.png
+     :alt: Layer Normalization
+
+     :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py`
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /getting-started/tutorials/05-layer-norm
+.. raw:: html
+
+    <div class="sphx-glr-clear"></div>
+
+
+
+.. only :: html
+
+ .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-gallery
+
+
+  .. container:: sphx-glr-download sphx-glr-download-python
+
+    :download:`Download all examples in Python source code: tutorials_python.zip </getting-started/tutorials/tutorials_python.zip>`
+
+
+
+  .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+    :download:`Download all examples in Jupyter notebooks: tutorials_jupyter.zip </getting-started/tutorials/tutorials_jupyter.zip>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_