Commit Graph

9 Commits (9b89f8eb3f9825a6c13d20dd960b8c7499699f5e)

Author SHA1 Message Date
Sean Silva 5b6902e31c Dual license the torch-mlir project.
This commit (with approval from all contributors) dual licenses
the torch-mlir project under both the standard LLVM license and the
standard PyTorch license. This will facilitate moving code between
torch-mlir and the two upstream projects.

The standard file comment is now:

```
// This file is licensed under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
// Also available under a BSD-style license. See LICENSE.
```

See `LICENSE` in the project root for the terms of both licenses.
2021-10-01 10:46:08 -07:00
Ramiro Leal-Cavazos 3aef3a9e30 Remove duplicate example + fix README typo 2021-09-30 13:23:25 -07:00
Sean Silva bc62a7fbf3 Update to new name of torchscript-module-to-linalg-on-tensors-backend-pipeline 2021-09-30 19:46:05 +00:00
Sean Silva 8b2c099914 Update llvm-project to 204d301bb1921431a853c0bfba32007c018df1d5
This brings in the fix for the obscure RefBackend bug we were hitting.
2021-09-28 17:38:10 -07:00
Ramiro Leal-Cavazos b59f2cb673
Implement the lazytensor package (#331)
Implement the `lazytensor` python package for converting
lazy computations captured by the Lazy Tensor Core into MLIR.
This PR also fixes a few things with `torchfx` and its example
2021-09-28 17:25:06 -07:00
Sean Silva 64ce5d54d3 Update examples.
TorchFX example has been simplified, since it seems to be hitting that
weird RefBackend bug. Will dig into that.
2021-09-27 17:20:50 -07:00
Ramiro Leal-Cavazos 2b18aad807 Removed import typo in torchfx example 2021-09-22 16:49:46 -07:00
Sean Silva 8779d920b2 Remove "refjit" terminology.
We now use RefBackend/refbackend consistently.
2021-09-22 15:41:23 -07:00
Ramiro Leal-Cavazos 1f00f95d2e
WIP implementation of torchfx (#304)
Implements a python package for taking a `torch.fx.GraphModule`
and turning it into MLIR in the `torch` dialect that can then
be further compiled by `npcomp`. This is a WIP, so the coverage
of PyTorch operations is very small.
2021-09-22 10:27:55 -07:00