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Commits on Apr 9, 2022

• [quant][fx] Remove "additional_fusion_pattern" from prepare_custom_config_dict (pytorch#75377)

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• [quant][fx] Move all fusion registrations to backend_config_dict (pytorch#75318)

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• [shard] add ShardedTensor.cpu() (pytorch#74941)

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• Optimize size(dim) and stride(dim)

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• [fx2trt] improve to_dtype (pytorch#48)

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• [c10d] fix nccl gather outputs on non-root ranks (pytorch#75535)

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Commits on Apr 8, 2022

• Disable strides and contiguity for CSR tensors

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• Revert D35489740: [pytorch][PR] Updated cudnn_frontend submodule to v0.6

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• [ci] Fix bug in get_workflow_job_id.py

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• [BE] Fix deprecated usages of isIntegral

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• Add maximize flag to Adadelta

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• Docs: Fix log_target example in kl divergence

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• updated _forward_unim. to include descriptive error

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• Support masked sum on CSR tensors [CPU, CUDA]

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• Update onnx.rst

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• [LT] Support diagonal op (pytorch#75230)

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• Ensure convolution_backward respects output_mask

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• [PyTorch] NestedTensor kernels for {r,g}elu{,_}

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• [PyTorch] Add & use in-place gelu

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• [PyTorch] _addm_activation native function for matmul/bias/activation fusion

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• Fix exporting models to ONNX without allow_tf32 in _convolution call

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• Ansley's rebase of DimensionNode onto master (pytorch#75352)

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• [complex32] enable testing for {h,v,d}stack

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• Make split_with_sizes an overload of split

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• [complex] conv2d

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• improve datapipe deprecation warnings (pytorch#74685)

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• Add edge case tests and update tril code to cover

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• ROCm: Enable test_masked_scatter_large_tensor

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• Enable atomicAddNoRet() for all gfx targets.

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• fix 'pytorch/tools/code_coverage/README.md' for renamed options

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• remove from generate_ci_workflows.py, add tags back in .github/templates

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• [Quant][fx] Decouple prepare_*fx from training/eval modes (pytorch#75401)

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• [quant][fx] Move embedding ops to backend_config_dict (pytorch#75317)

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• forward-mode AD formula for F.dropout

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• [ONNX] Raise exception for mixed precision input for BatchNormalization

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