Commit Graph

4 Commits (7f6b72aec863670e1b32184fa8a7d651a53c0938)

Author SHA1 Message Date
nithinsubbiah fde390c766 Re-enable custom op support 2022-08-16 22:49:08 +05:30
Bob Adolf b90837ee24
Temporarily revert support for custom op extensions. (#944)
The MacOS builders are having linking trouble with the extension library.
Until it's fixed, all support for op extensions is disabled. It should be
easy to restore once the issue is resolved.
2022-06-14 18:24:40 -07:00
Bob Adolf 0a7ba62438
Allow torch-mlir to support PyTorch extensions. (#895)
PyTorch allows new operators to be registered dynamically in modules.
Torch-mlir already makes it fairly straightforward to add support for
new operators, and this commit just extends that support to allow new
PyTorch ops to come from a external module.

This does *not* allow ops to be dynamically loaded into torch-mlir.
Torch-mlir must still be compiled with support built-in.

Add a `_torch_mlir_custom_op_example` subpackage to `torch_mlir` which
registers an demonstration op. It will not be imported by default when
importing torch_mlir. It's strictly for testing and documentation.

Adds an end-to-end test for the `torch_mlir_custom_op_example::identity` op.

With all these changes, we should now be actively testing PyTorch extension
support with all future patches.
2022-06-13 14:51:30 -07:00
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