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Commits on Oct 31, 2022

• [Vulkan] Add Vulkan Rewrite to Transfer Inputs and Outputs to Vulkan and CPU Backends Respectively (pytorch#87432)

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• [Vulkan] Add support for Optimization Blocklist to Vulkan Rewrite (pytorch#87431)

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Commits on Oct 13, 2022

• Use Variable Size Indices in Sparse Qlinear Code (pytorch#85247)

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• Enable 16bit and 8bit Row/Col Indices in Qnnpack Fully Connected Sparse Op (pytorch#85246)

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• Add 16bit and 8bit row/col indices q8gemm sparse kernels (pytorch#85245)

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• Enable Running Variable Size Row/Col Indices q8gemm Sparse Kernels in QNNPACK (pytorch#85244)

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• Update Qnnpack Fully Connected Sparse Op to Store Variable Size Indices (pytorch#85243)

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Commits on Oct 7, 2022

• Override Quantized Backend to use Fbgemm in Qlinear Packed Params Test (pytorch#86236)

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Commits on Sep 16, 2022

• [QNNPACK] Export cpuinfo-targets in clog CMakeLists (pytorch#84876)

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Commits on Sep 9, 2022

• [QNNPack] Update GoogleTest SHA256 Hash (pytorch#84754)

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Commits on Aug 31, 2022

• [AIBench] Pass Vulkan Profiling Data to Kineto Profiler in lite_predictor_benchmark (pytorch#84185)

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Commits on Jul 14, 2022

• [PyTorch Edge] Fix ao::sparse::BCSR missing in qlinear serialize and deserialize when USE_FBGEMM and USE_PYTORCH_QNNPACK are not set (pytorch#81256)

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Commits on Jul 13, 2022

• [PyTorch Edge] Remove LinearPackedParamsBase __getstate__/__setstate__ from check_forward_backward_compatibility.py Allowlist (pytorch#81048)

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Commits on Jul 9, 2022

• [PyTorch Edge] Extend LinearPackedParamsBase __getstate__/__setstate__ deadline in check_forward_backward_compatibility.py Allowlist (pytorch#81135)

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Commits on Jul 7, 2022

• [PyTorch Edge] Add OwnedOrBorrowedVector for QNNPack BCSR Indices/Values (pytorch#80476)

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• [PyTorch Edge] Add qnnpack bcsr matrix unpacking and use unpacking in Linear module (pytorch#80475)

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• [PyTorch Edge] Add serialization/deserialization of Sparse Quantize Linear Packed Params (pytorch#80474)

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• [PyTorch Edge] Remove Original Weight Tensor from QNNPack Sparse Quantized Linear Packed Params (pytorch#80473)

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Commits on Apr 26, 2022

• [PyTorch Edge] Add Optimized QInt8 Quantize Tensor Arm (pytorch#76245)

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Commits on Apr 19, 2022

• [PyTorch Edge] Using Qnnpack in Quantized Softmax Op (pytorch#75799)

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Commits on Apr 11, 2022

• [PyTorch Edge] Add Quantized Softmax Op (Naive Implementation) (Re-land)

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Commits on Mar 31, 2022

• [PyTorch Edge] Add Quantized Softmax Op (Naive Implementation) (pytorch#75017)

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Commits on Mar 25, 2022

• [PyTorch Edge] Make contexts thread local for quantized matmul (pytorch#74676)

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Commits on Mar 14, 2022

• [PyTorch Edge] Use Parallelization in Internal Quantized Matmul (pytorch#73247)

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• [PyTorch Edge] Allow >2 dimensional tensors in internal Quantized Matmul (pytorch#73246)

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• [PyTorch Edge] Perform QMatMul Requantization within Ruy (pytorch#73245)

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• [PyTorch Edge] Internal Optimized Quantized Matmul (pytorch#73244)

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Commits on Feb 5, 2022

• [PyTorch Edge] Add Quantized Matmul Op (Naive Implementation) (pytorch#71783)

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Commits on Dec 30, 2021

• [PyTorch Edge][QNNPack] Tighten Step Height for Indirection Buffers (pytorch#70530)

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• [PyTorch Edge][QNNPack] Enable Depthwise Specific Conv3d Kernel for Kernel Size 3x3x3 (pytorch#69315)

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• [PyTorch Edge][QNNPack] Depthwise Conv3d mp8x27 (per-channel) Sse2 Kernel (pytorch#69314)

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• [PyTorch Edge][QNNPack] Depthwise Conv3d mp8x27 (per channel) Neon Kernel (pytorch#69313)

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• [PyTorch Edge][QNNPack] Depthwise Conv3d Weight Packing (pytorch#69312)

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• [PyTorch Edge][QNNPack] Depthwise Conv3d Indirection Buffer Setup (pytorch#69311)

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• [PyTorch Edge][QNNPack] Refactor Computing Step Dimensions (pytorch#69310)

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