Commit Graph

10 Commits (d0a818a03e43e9afbce3fadce81ae2320952ce65)

Author SHA1 Message Date
Benoit Jacob bce800a3f4
Integrate llvm-project at dabdec1001dc368373dd581cf72f37a440873ce3 (#3300)
Co-authored-by: Jacques Pienaar <jpienaar@google.com>
2024-05-08 14:43:06 -04:00
Stella Laurenzo 5d4b803914 [NFC reformat] Run pre-commit on all files and format misc.
This is part 1 of ~3, formatting all miscellaneous text files and CPP files matched by a first run of pre-commit. These tend to be low change-traffic and are likely not disruptive.

Subsequent patches will format Python files and remaining CPP files.
2024-04-27 14:08:09 -07:00
JakopinA 8ef0c874c2
Implement Expand/Collapse Functionality for Aten.View (#1353) 2022-09-27 11:08:14 -07:00
Ashay Rane bb52a460cb
mlir: bump llvm tag to 5380e3 (#856)
In addition to updating the llvm-project submodule, this patch also:

1. updates shape functions and tests so that `func` and `call`
   operations refer to the `func` dialect
2. avoid duplicate registration of dialects
2022-05-16 12:54:35 -07:00
dan 3745f54489 Update external/llvm-project
- Add `qualified` to ods because of
https://reviews.llvm.org/D113873 and https://reviews.llvm.org/D116905
- Needed to revert https://github.com/llvm/torch-mlir/pull/520 as it
was based on an old torch version.
https://github.com/llvm/torch-mlir/pull/527 will bring this back with
a better design.
- Change ConvertAtenCatOp to use more accurate tensor shape info and
as much static info as possible to pass `tensor.insert_slice`
verification code added by https://reviews.llvm.org/D114715
- Other minor fixes
2022-01-18 13:25:42 -05:00
Sean Silva 4fad753073 Move external/torch-mlir to the root of the repo. 2021-09-27 17:11:08 -07:00
Sean Silva a99cbeeb7e Move TorchConversion dialect and TorchTo* into torch-mlir 2021-09-23 21:39:31 -07:00
Sean Silva 1dec561cfd Update llvm-project to 830c0b9023cd0cf91955900e0d96283e7a8c3711
- builder.getSymbolRefAttr is gone.
- OpAsmOpInterface's getAsmResultNames method needs explicit override
- a bunch of churn for builtin.func needing to be made explicit (and
  sometimes implicit?)
- operation printers no longer need to print the operation name
  themselves.
- snuck in beneficial trivial addition to TmpDeleteDeadIREEListsPass to
  test a particular upstream change e2e with my local patchset.
2021-09-03 14:16:38 -07:00
Sean Silva cab8d922ec Add TorchToIREE and factor out TorchConversion dialect.
This converts a basic list op (torch.prim.ListConstruct) to the IREE
dialect.

```
    def forward(self, x: float):
            return [x, x]
```

turns into:

```
builtin.func @forward(%arg0: !torch.float) -> !torch.list<!torch.float> {
  %0 = torch.prim.ListConstruct %arg0, %arg0 : (!torch.float, !torch.float) -> !torch.list<!torch.float>
  return %0 : !torch.list<!torch.float>
}
```

which turns into:

```
builtin.func @forward(%arg0: f64) -> !iree.list<f64> {
  %c1 = constant 1 : index
  %c0 = constant 0 : index
  %c2 = constant 2 : index
  %0 = iree.list.create %c2 : !iree.list<f64>
  iree.list.set %0[%c0], %arg0 : !iree.list<f64>, f64
  iree.list.set %0[%c1], %arg0 : !iree.list<f64>, f64
  return %0 : !iree.list<f64>
}
```

As part of doing this, I realized that it was time to formalize the IR
form that we reach right before running TorchTo{Linalg,Std,...}. We now
call it the "Torch backend contract". We then lower the "Torch backend
contract" to the "npcomp backend contract", which involves the new
TorchConversion (`torch_c`) dialect, which holds ops that need to
operate on both the npcomp backend types (e.g. builtin tensors, i1, IREE
list, etc.) and the `!torch` types.

This made more sense, as I realized that if I didn't factor out
`torch_c` then the Torch dialect would have a dependency on IREE
dialect (we previously didn't notice this was an issue because we only
depended on `builtin` types), which seemed wrong to me.

Recommended review order:
- TorchToIREE.cpp / `TorchToIREE/basic.mlir`
- Look at the new structure of createTorchScriptToNpcompBackendPipeline.
  It now lives in TorchConversion/Transforms/Passes.cpp and cleanly
  calls into `Torch::createTorchScriptToTorchBackendPipeline` for the
  frontend lowering to the Torch backend contract.
- Mechanical change extracting
  `torch_c.{to,from}_{i1,i64,f64,builtin_tensor,iree_list}` into a new
  TorchConversion dialect, and a few passes specific to the lowering
  from the Torch backend contract to the npcomp backend contract.
- Minor fixes to TorchToLinalg.cpp to use unconverted operands (now that
  we convert lists as part of operand materialization, we need to use
  the original operands). Also added test for AtenMaxPool2dOp and fixed
  m_TorchConstantIntList.
- TmpDeleteDeadIREELists pass. Temporary pass for deleting dead IREE lists that
  are created as part of operand materialization for conv/max pool/avg pool ops
  in TorchToLinalg.
2021-08-16 15:01:58 -07:00
Yi Zhang 0342b73bf1 Add torch.aten.flatten.using_ints and aten.MaxPool2d linalg lowering
- torch.aten.flatten.using_ints to linalg lowering
- torch.aten.max_pool2d to linalg lowering
- Support torch.aten.conv2d for more flexible dilation and strides values
2021-08-04 12:00:43 -04:00