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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CMakeLists.txt	Move JIT tests to gtest (#12030)	2018-10-06 23:09:44 -07:00
gtest.cpp	Reuse KernelSpec for FusionGroups with equivalent graphs (#14541)	2018-12-13 07:54:35 -08:00
no-gtest.cpp	migrate subgraph slicing to use moveBefore/moveAfter (#13862)	2018-11-14 17:33:36 -08:00
tests.h	Autograd using torchscript (#14604)	2018-12-18 19:10:57 -08:00