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Commits on Aug 12, 2025

• Update

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Commits on Aug 9, 2025

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Commits on Aug 5, 2025

• Allow controlling PG backend and options via init_device_mesh (#159371)

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• [inductor] consolidate common GEMM triton param retrieval (#159383)

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• Improve graph output alias with subclass error message (#159619)

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• Generalize torch._C._set_allocator_settings to be generic (#156175)

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• Deprecate overleap functions in CUDAAllocatorConfig, use AcceleratorAllocatorConfig instead (#156165)

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• Refactor CUDAAllocatorConfig to reuse AcceleratorAllocatorConfig (#150312)

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• Fix AllocatorConfig potential SIO issue (#159629)

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• [Dynamo][Better Engineering] Type annotation for `torch/_dynamo/output_graph.py` (#159602)

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• skip XPU for dataloader CPU only unit test (#159811)

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• [Inductor][Triton] Support TMA before strict 3.4 cutoff (#159777)

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• Remove pin on libuv from instructions (#159504)

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• Add cascade sum support for Inductor CPP backend (#156296)

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• [BE][MPS] Remove unused size12 variable (#159832)

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• [nativert] force resize to zero. (#159683)

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• [C10D] fix slow init due to repeated dns resolution failure (#159596)

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• Use uppercase OR when checking for system XNNPACK (#159527)

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• Recursively sync fbgemm submodules before build (#159477)

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• Add `avg_pool3d` backward pass for MPS (#159089)

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• Update torch-xpu-ops commit pin (#159621)

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• [Dynamo] Enable torch function dispatch on HOPs (#159708)

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• [Dynamo] Fix arg ordering in tf modes (#159707)

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• Fix failing test (#159800)

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• [AOTI] don't allow int32 indices if {non-inf, > int32_max} upper bound is provided (#159433)

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Commits on Aug 4, 2025

• DeviceCopy should have the same layout as input (#159615)

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• Revert "[inductor] add lowering for repeat_interleave.Tensor with output size specified (#147160) (#158462)" (#159798)

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• Revert "[mps] Turn on inductor dynamic shapes tests (#159456)"

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• [Cutlass] Fix wrapper code generation breakage (#159760)

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• [cutlass backend][test] Expand FP8 tests to FP16 (#159538)

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• [mps] Turn on inductor dynamic shapes tests (#159456)

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• Feature: Implement support for `cudnn_batch_norm_out` kernel to replace the autogen approach. (#123020)

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• [Dynamo][Better Engineering] Type coverage for `torch/_dynamo/utils.py` (#159580)

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