torch-mlir/include/npcomp
Sean Silva b6bdc8cc4f [RefBackend] Use upstream BufferizeTypeConverter
Now that it has grown source/target materialization capabilities
(spelled with ops tensor_load/tensor_to_memref), we can use it. We can
also now delete refback.memref_to_tensor/refback.tensor_to_memref.

This is also a first step to reducing the downstream functionality
needed in the refback dialect.
2020-10-15 15:58:51 -07:00
..
Backend Initial python plumbing to interface with the refjit backend. 2020-07-10 22:57:26 -07:00
Conversion [RefE2E] Refactor how tcf.add is lowered. 2020-09-18 15:03:53 -07:00
Dialect [RefBackend] Use upstream BufferizeTypeConverter 2020-10-15 15:58:51 -07:00
Python Add boilerplate to do device capture (pytorch 1.6). 2020-09-28 10:30:54 -07:00
RefBackend [RefBackend] Split out TCF->TCP conversion. 2020-10-12 11:56:39 -07:00
Typing Bump submodule versions. 2020-09-08 13:26:42 -07:00
CMakeLists.txt [RefBackend] Rename "E2E" to RefBackend. 2020-10-07 10:29:48 -07:00
InitAll.h Bump submodule versions. 2020-09-08 13:26:42 -07:00