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.ci/docker/requirements.txt

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fastapi
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matplotlib
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librosa
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torch==2.10
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torch==2.11
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torchvision
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torchdata
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networkx

.github/workflows/build-tutorials-nightly.yml

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# download the binaries in .jenkins/build.sh.
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on:
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# Only main branch for now. Uncomment the below line to enable it on PRs.
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pull_request:
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# pull_request:
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# Comment out the below line to disable on the main branch
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push:
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branches:
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- main
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# push:
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# branches:
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# - main
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workflow_dispatch:
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concurrency:

index.rst

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**What's new in PyTorch tutorials?**
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* `Distributed Training with Ray Train <https://docs.pytorch.org/tutorials/beginner/distributed_training_with_ray_tutorial.html>`__
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* `Serve PyTorch models at scale with Ray Serve <https://docs.pytorch.org/tutorials/beginner/serving_tutorial.html>`__
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* `Hyperparameter tuning using Ray Tune <https://docs.pytorch.org/tutorials/beginner/hyperparameter_tuning_tutorial.html>`__
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* `Memory Profiling with Mosaic <https://docs.pytorch.org/tutorials/beginner/mosaic_memory_profiling_tutorial.html>`__
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* `Using Variable Length Attention in PyTorch <https://docs.pytorch.org/tutorials/intermediate/variable_length_attention_tutorial.html>`__
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* `DebugMode: Recording Dispatched Operations and Numerical Debugging <https://docs.pytorch.org/tutorials/recipes/debug_mode_tutorial.html>`__
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* `[Updated] Custom SYCL Operators <https://docs.pytorch.org/tutorials/advanced/cpp_custom_ops_sycl.html>`__
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* `[Updated] Custom C++ and CUDA Operators <https://docs.pytorch.org/tutorials/advanced/cpp_custom_ops.html>`__
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.. raw:: html

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