torch-mlir/include/npcomp
Sean Silva 5227d52c26 [RefBackend] Use std.global_memref instead of homegrown thing
This vastly simplifies our code, allowing deleting multiple ops,
simplifying multiple passes, and removing a whole pass.

Now `refback` dialect is down to one op (refback.alloc_memref, which
simplifies allocations to just take a shape instead of individual
extents).
2020-11-13 18:43:50 -08:00
..
Backend Repurpose numpy-compiler compiler/runtime flow for PyTorch. 2020-11-11 10:38:13 -08:00
Conversion Make some passes run on FuncOp so they can run in parallel. 2020-11-13 16:12:18 -08:00
Dialect [RefBackend] Use std.global_memref instead of homegrown thing 2020-11-13 18:43:50 -08:00
Python Repurpose numpy-compiler compiler/runtime flow for PyTorch. 2020-11-11 10:38:13 -08:00
RefBackend [RefBackend] Use std.global_memref instead of homegrown thing 2020-11-13 18:43:50 -08:00
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