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Commits on Mar 24, 2023

• fix low and high in torch.testing.make_tensor for integral inputs (pytorch#96124)

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• only apply domain eps for floating and complex types (pytorch#97010)

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• honor low and high for torch.bool in torch.testing.make_tensor (pytorch#96332)

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• fix random mask creation in test_maskedtensor (pytorch#97017)

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• QoL improvements for torch.testing.make_tensor (pytorch#96125)

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• add proper tests for torch.testing.make_tensor (pytorch#96331)

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• Revert "Sort: Use cub::WarpMergeSort for small sorts (32 < n <= 128) (pytorch#96223)"

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• fix ignored qualifiers errors (pytorch#97443)

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• Inductor: fall back bernoulli on cpu (pytorch#97002)

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• [CI] Add missing --cold-start-latency for the dashboard run (pytorch#97547)

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• Add is_causal API for TransformerDecoder (pytorch#97166)

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• Support per channel tensor with unpacking in QNNPACK (pytorch#96268)

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• [DataPipe] Fix missing imports in DataPipe interface file (pytorch#97458)

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• Warn once on dynamo module w/ hooks (pytorch#97535)

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• [Kineto] Improve Config Options for Input Shapes, Memory, Stack, Flops, and Modules - Part 1 (pytorch#97380)

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• Use L1 loss for Smooth L1 loss with beta=0 (pytorch#97022)

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• [pytorch@arvr/windows] Fix pytorch build/import on Windows @ ovrsource (pytorch#97193)

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• [ROCm] Update clock intrinsic handling for AMD gfx11 family (pytorch#97005)

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• Revert "Upgrade NVTX to NVTX3 (pytorch#90689)"

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• Code update for vectorized interpolate cpu uint8 (pytorch#96847)

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• backport std::ssize to c10 (pytorch#97442)

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• GradScaler recomputes optimizer_state["found_inf_per_device"] before optimizer.step (pytorch#97415)

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• Complex support for expm1 (pytorch#96644)

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• [ROCm] Update magma commit for ROCm (pytorch#97491)

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• [CI] Experiment with a newer CUDA driver (pytorch#96904)

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• Fix typos under torch/utils directory (pytorch#97516)

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• [Dynamo] Fix TIMM benchmark compute_loss (pytorch#97423)

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• remove unused CAFFE2_VERSION macros (pytorch#97337)

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• Log FSDP mixed precision (pytorch#97367)

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• [ONNX] Support converting fx graph with symbolic shape to ONNX (pytorch#96350)

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• add /std:c++17 to windows compilations when not using Ninja (pytorch#97445)

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• [inductor] xfail tests by default (pytorch#97331)

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• Disable inductor developer warnings in official releases (pytorch#97451)

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• Use a single stream for cuda graph pool (pytorch#97419)

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• Bring back tensor_has_compatible_shallow_copy_type (pytorch#97455)

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