torch-mlir/include/npcomp/Dialect
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
..
ATen Add aten.maximum op and conversions from aten->tcf. 2020-11-04 17:20:54 -08:00
Basicpy Bump llvm-project to 72ddd559b8aafef402091f8e192e025022e4ebef 2020-10-30 18:12:41 -07:00
Numpy More progress on PyTorch acap device capture. 2020-10-15 21:43:21 -07:00
Refback [RefBackend] Use std.global_memref instead of homegrown thing 2020-11-13 18:43:50 -08:00
Refbackrt [RefBackend] Use std.global_memref instead of homegrown thing 2020-11-13 18:43:50 -08:00
TCF [RefBackend] Support element-wise multiply op 2020-10-27 19:41:23 -07:00
TCP [TCP] Replace tcp.matmul with linalg.matmul. 2020-11-10 18:58:28 -08:00
Torch Add a number of kernels and new patterns. 2020-11-04 14:36:59 -08:00
CMakeLists.txt [RefBackend] Rename RefBackend dialect to Refback 2020-10-08 09:07:00 -07:00