Commit Graph

6 Commits (2d75654b2c2e7e5c4aba2f125229ab3cc3c5c4d8)

Author SHA1 Message Date
Gaurav Shukla 1be604bfd3 [LINALG] Lower `aten.Matmul` to `linalg.BatchMatmul`
This commit lowers `aten.matmul` to `linalg.BatchMatmul` under the
following conditions:
1. The result of matrix multiplication must have batch dimensions,
   i.e., rank greater than 2.
2. The resultant matrix must have at most 1 dynamic batch dimension.

It also handles broadcasting of batch dimensions when batch dimensions
of the matrices are broadcastable.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-06-25 10:58:06 +05:30
Maksim Levental 5c85ac3100
Handle `nn.Linear(..., bias=False)` case for TorchToLinalg (#919) 2022-06-08 21:13:43 -05:00
gpetters94 c4dcdd1e34
Add aten.flip (#817) 2022-05-02 16:01:15 -04:00
Vivek Khandelwal 769f3a8870 [MLIR][TORCH] Add E2E support for max_pool2d_with_indices op
This commit adds lowering of `max_pool2d_with_indices` op.

Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
2022-04-18 21:05:19 +05:30
gpetters94 9ec0683e92
Add 2D case for convolution (#693) 2022-04-08 00:47:57 -04:00
Sean Silva 5d9222383c Split up TorchToLinalg.cpp
This helps keep things organized and also exposes more parallelism to
the build system. It seems though that most of the compile time is
actually spent in the headers though, so the wall time doesn't decrease
as much as I had hoped (and now that the headers are being included
multiple times, the cpu time actually increases a lot, sadly -- will try
to dig into this).
2022-03-14 10:19:41 -07:00