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Add cost inference to ConvGradient and WeightedSum operators #10744
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…#10744) Summary: Pull Request resolved: pytorch#10744 As title Reviewed By: jspark1105 Differential Revision: D9436387 fbshipit-source-id: 58d500b163aa4bfd181e013790f2294cb9e26026
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resolve conflict in data parallel model * master: (201 commits) Add cost inference to ConvGradient and WeightedSum operators (pytorch#10744) Move collapse dims into a single place (pytorch#11272) Fix some more warnings (pytorch#11257) Fix the batchnorm onnx exporting when affine=False Improve error message to include return types too (pytorch#11245) Check doxygen output in travis (pytorch#11124) Accept more numpy scalars as doubles (pytorch#9659) Fixed log message (pytorch#10874) Fix to distribution.__repr__ with lazy attributes (pytorch#11263) Add import export step to end to end tests Add complex hooks for out of tree complex implementation. (pytorch#11216) Unify opt flag for cmake codegen (pytorch#11227) nomnigraph - fix memory error in NN subgraph matchOp (pytorch#11127) Port PackedSequences functions to C++ (pytorch#11224) Treat numerical differences as warnings instead of errors when tracing (pytorch#11246) add a Float16UniformFill (pytorch#11123) Implement torch.tensordot (pytorch#10025) keep net type info when generating model complete net (pytorch#11032) Get rid of some uses of type() (pytorch#11215) Reorganize methods in Type, add CPUTypeDefault/CUDATypeDefault (pytorch#11205) ...
…#10744) Summary: Pull Request resolved: pytorch#10744 As title Reviewed By: jspark1105 Differential Revision: D9436387 fbshipit-source-id: 578b7a6d98843d57e3f8f4c564727e9cadbedd78
Summary: Fix Windows build failure after pytorch#10744 landed. Pull Request resolved: pytorch#11312 Reviewed By: mingzhe09088 Differential Revision: D9669907 Pulled By: orionr fbshipit-source-id: d717ec4f8fdf17acf334528d7838b88c5c50e9c3
Summary: As title
Differential Revision: D9436387