Ailing Zhang 6ab2e7442d Autograd using torchscript (#14604) ... Summary: This PR enables autodiff to use the forward/backward graph compiled from python code, instead of using symbolic gradients(modifying the original graph directly). We put the map in a separate .h file for now to wait for the native_functions.yaml and derivatives.yaml merge. This should ideally go into native_functions.yaml eventually. This PR should be enough to unblock us for now, we can start writing gradients for aten functions in python. Differential Revision: D13494635 Pulled By: ailzhang fbshipit-source-id: f8d51a15243ac46afd09d930c573ccdfcd9fdaaf		2018-12-18 19:10:57 -08:00
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api	Enable performance-unnecessary-value-param in .clang-tidy (#15026)	2018-12-13 16:15:35 -08:00
common	Fix Windows build and test in CI (#11716)	2018-11-13 16:35:54 -08:00
jit	Autograd using torchscript (#14604)	2018-12-18 19:10:57 -08:00