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Welcome to PyTorch Tutorials
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============================
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- What's new in PyTorch tutorials?
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- * `Large Scale Transformer model training with Tensor Parallel <https://pytorch.org/tutorials/intermediate/TP_tutorial.html >`__
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- * `PyTorch Inference Performance Tuning on AWS Graviton Processors <https://pytorch.org/tutorials/recipes/inference_tuning_on_aws_graviton.html >`__
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- * `Using TORCH_LOGS python API with torch.compile <https://pytorch.org/tutorials/recipes/torch_logs.html >`__
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- * `PyTorch 2 Export Quantization with X86 Backend through Inductor <https://pytorch.org/tutorials/prototype/pt2e_quant_x86_inductor.html >`__
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- * `Getting Started with DeviceMesh <https://pytorch.org/tutorials/recipes/distributed_device_mesh.html >`__
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- * `Compiling the optimizer with torch.compile <https://pytorch.org/tutorials/recipes/compiling_optimizer.html >`__
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+ **What's new in PyTorch tutorials? **
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+ * `Using User-Defined Triton Kernels with torch.compile <https://pytorch.org/tutorials/recipes/torch_compile_user_defined_triton_kernel_tutorial.html >`__
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+ * `Large Scale Transformer model training with Tensor Parallel (TP) <https://pytorch.org/tutorials/intermediate/TP_tutorial.html >`__
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+ * `Accelerating BERT with semi-structured (2:4) sparsity <https://pytorch.org/tutorials/advanced/semi_structured_sparse.html >`__
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+ * `torch.export Tutorial with torch.export.Dim <https://pytorch.org/tutorials/intermediate/torch_export_tutorial.html >`__
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+ * `Extension points in nn.Module for load_state_dict and tensor subclasses <https://pytorch.org/tutorials/recipes/recipes/swap_tensors.html >`__
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