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Add Compiler category in left nav #3184

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Add Compiler category in left nav
svekars Dec 12, 2024
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Merge branch 'main' into add-compiler-left-nav
svekars Feb 19, 2025
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Merge branch 'main' into add-compiler-left-nav
svekars Feb 21, 2025
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svekars Feb 21, 2025
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23 changes: 16 additions & 7 deletions index.rst
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Expand Up @@ -414,7 +414,7 @@ Welcome to PyTorch Tutorials
:card_description: Learn how to use compiled autograd to capture a larger backward graph.
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: intermediate/compiled_autograd_tutorial
:tags: Model-Optimization,CUDA
:tags: Model-Optimization,CUDA,Compiler

.. customcarditem::
:header: Custom C++ and CUDA Operators
Expand Down Expand Up @@ -584,7 +584,7 @@ Welcome to PyTorch Tutorials
:card_description: Train BERT, prune it to be 2:4 sparse, and then accelerate it to achieve 2x inference speedups with semi-structured sparsity and torch.compile.
:image: _static/img/thumbnails/cropped/Pruning-Tutorial.png
:link: advanced/semi_structured_sparse.html
:tags: Text,Model-Optimization
:tags: Text,Model-Optimization,Compiler
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This is not a torch.compile tutorial. It uses torch.compile, but it's more of a Model Optimization (sparsity) thing


.. customcarditem::
:header: (beta) Dynamic Quantization on an LSTM Word Language Model
Expand Down Expand Up @@ -636,18 +636,18 @@ Welcome to PyTorch Tutorials
:tags: Model-Optimization,Best-Practice,Ax,TorchX

.. customcarditem::
:header: torch.compile Tutorial
:header: Introduction to torch.compile
:card_description: Speed up your models with minimal code changes using torch.compile, the latest PyTorch compiler solution.
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: intermediate/torch_compile_tutorial.html
:tags: Model-Optimization
:tags: Model-Optimization,Compiler

.. customcarditem::
:header: Inductor CPU Backend Debugging and Profiling
:card_description: Learn the usage, debugging and performance profiling for ``torch.compile`` with Inductor CPU backend.
:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
:link: intermediate/inductor_debug_cpu.html
:tags: Model-Optimization
:tags: Model-Optimization,Compiler

.. customcarditem::
:header: (beta) Implementing High-Performance Transformers with SCALED DOT PRODUCT ATTENTION
Expand Down Expand Up @@ -956,6 +956,17 @@ Additional Resources
beginner/vt_tutorial
intermediate/tiatoolbox_tutorial

.. toctree::
:maxdepth: 1
:includehidden:
:hidden:
:caption: Torch Compiler

intermediate/torch_compile_tutorial
intermediate/compiled_autograd_tutorial
intermediate/transformer_building_blocks
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This is not a torch.compile tutorial (https://pytorch.org/tutorials/intermediate/transformer_building_blocks.html). It uses torch.compile, but it is more about optimizing transformers.

intermediate/inductor_debug_cpu
Comment on lines +965 to +968

.. toctree::
:maxdepth: 2
:includehidden:
Expand Down Expand Up @@ -1078,8 +1089,6 @@ Additional Resources
intermediate/torchserve_with_ipex_2
intermediate/nvfuser_intro_tutorial
intermediate/ax_multiobjective_nas_tutorial
intermediate/torch_compile_tutorial
intermediate/compiled_autograd_tutorial
intermediate/inductor_debug_cpu
intermediate/scaled_dot_product_attention_tutorial
beginner/knowledge_distillation_tutorial
Expand Down
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