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The [PyTorch Performance Tuning guide](https://pytorch.org/tutorials/recipes/recipes/tuning_guide.html) still contains details for TorchScript optimizations. Update for PT 2.x related optimizations including torch compiler and other PTD related recommendations cc @eellison @suo @gmagogsfm @jamesr66a...

torchscript
torch.compile

### Add Link https://pytorch.org/tutorials/recipes/intel_neural_compressor_for_pytorch.html ### Describe the bug Follow the tutorial, I write this code, and find that the segmentation fault occur when the tensor(and the GraphModule model) moved to...

bug
triaged

### šŸš€ Descirbe the improvement or the new tutorial Create a better tutorial showing how to extend torchx. ### Existing tutorials on this topic https://pytorch.org/torchx/latest/custom_components.html ### Additional context _No response_...

advanced
module: torchx
docathon-h2-2023

### Add Link https://pytorch.org/tutorials/advanced/cpp_extension.html ### Describe the bug Code to reproduce the issue. ```python import time import torch batch_size = 16 input_features = 32 state_size = 128 # Check if...

bug

referring to the tutorial: https://pytorch.org/tutorials/intermediate/ddp_tutorial.html Though the tutorial is broken down into sections, it doesn't show how to actually run the code from each section until the very end of...

content
medium
docathon-h2-2023

Fixes #1117 ## Description ## Checklist - [x] Add a sharable link for the distorted MNIST dataset size 60*60 (credit to **Author**: 'Sandro Braun ') - [x] Add two additional...

cla signed
Text
medium
docathon-h2-2023

The [tutorial ](https://pytorch.org/cppdocs/notes/tensor_basics.html#cuda-accessors) gives an example about using _packed_accessor64_ to access tensor elements efficiently as follows. However, I still do not know how to use _packed_accessor64_. Can anyone give me...

CUDA
medium
docathon-h2-2023

Fixes #2340 cc @msaroufim @agunapal @sekyondaMeta @svekars @carljparker @NicolasHug @kit1980 @subramen

cla signed
torchserve
advanced
docathon-h2-2023

Hi, I have been trying to understand and use both static quantization and quantization-aware training (QAT) by following the [documentation/tutorial](https://pytorch.org/tutorials/advanced/static_quantization_tutorial.html), and I have been failing with the following error message:...

quantization
module: quantization
medium
docathon-h2-2023

### šŸš€ The feature, motivation and pitch Dear PyTorch developers and community, We have nice tutorial [cpp_extension](https://pytorch.org/tutorials/advanced/cpp_extension.html) on custom cuda extensions written by Peter Goldsborough. I’m wondering if the same...

triaged
module: rocm
advanced
amd
docathon-h2-2023
ciflow/rocm