Stella Laurenzo 0c73c535d6 Capture backward conv and copy_ kernels. ... * This is sufficient to capture the forward and backward pass and gradients of a convolutional model with an nllloss. * As with the forward conv, the backward conv is a special case wrapped in an enigma on the PyTorch side. There aren't many like it, so special casing is just what we do. * When I traced this, I found that the copy_ op is not yet boxing compatible so I had to map it manually. If there are many more like this, I'll probably do something a bit more clever to reduce duplication. * This exposes new signature patterns that will need to be handled by the ATen lowering. Will take care of that next: It will be nice to have an e2e of a non-trivial case with full gradients. * Fixes #97.		2020-10-30 22:59:26 -07:00
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acap_export	Capture backward conv and copy_ kernels.	2020-10-30 22:59:26 -07:00
acap_regression	Update test configuration to import mlir from LLVM install location.	2020-10-12 15:25:07 -07:00
c10_dispatch	Expose signature metadata to ops and implement ATenRecognizeKernelsPass pass.	2020-10-26 20:31:45 -07:00
CMakeLists.txt	More progress on PyTorch acap device capture.	2020-10-15 21:43:21 -07:00
extension_coexistence.py	Update test configuration to import mlir from LLVM install location.	2020-10-12 15:25:07 -07:00
lit.cfg.py	Port prior acap export tests to new dispatcher based versions.	2020-10-13 16:37:46 -07:00
lit.site.cfg.py.in	Move tests around so we can have dedicated tests for the c10 dispatcher.	2020-09-24 18:28:06 -07:00