torch-mlir/lib/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 a number of kernels and new patterns. 2020-11-04 14:36:59 -08:00
Basicpy Add remaining pieces to capture full example models. 2020-10-19 22:16:59 -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 Start reworking towards a shared library build. 2020-10-09 16:02:58 -07:00
TCP [TCP] Replace tcp.matmul with linalg.matmul. 2020-11-10 18:58:28 -08:00
Torch Expose signature metadata to ops and implement ATenRecognizeKernelsPass pass. 2020-10-26 20:31:45 -07:00
CMakeLists.txt [RefBackend] Rename RefBackend dialect to Refback 2020-10-08 09:07:00 -07:00