Commit Graph

5 Commits (5f1b2ba3232181551cbe3c31b72c409de0d64bf4)

Author SHA1 Message Date
Sean Silva 4a0eb44d17 Add a !torch.float type.
This removes the dependence of the `torch` dialect on the low-level
builtin types.
Now the `torch` dialect is a standalone layer, suitable for targeting
from higher-level Python abstractions without any premature lowering to
primitive types.
2021-06-17 09:24:18 -07:00
Sean Silva f49ebf1690 Add `!torch.int` type.
This replaces the ad-hoc use of `i64` throughout the Torch layer, and
helps to keep it crystal clear the distinction between `!torch.int`
(which is modeling the Python `int` type) and the various types that
serve as dtypes of tensors, which are a totally different type universe.

Changes:
- `!torch.int` type and C bindings.
- Change `torch.constant.int` parser to not need the `: i64` at the end.
- `m_TorchConstantInt` matcher to aid with matching constants.
- BackendTypeConversion changes for `!torch.int` -> `i64` type
  conversion.
- Refactor finalizing patterns in FinalizingBackendTypeConversionPass
  (they were getting very repetitive).
- Mechanical rewriting of `!torch.int` to `i64` in all the tests, and
  `AnyTorchIntType` to `Torch_IntType` in the `.td` files.
2021-06-17 07:28:23 -07:00
Sean Silva 784156a998 Add `!torch.bool` type.
This finishes removing the dependence on the basicpy dialect!

Changes:
- Add `!torch.bool` type and replace use of `!basicpy.BoolType` in
  Torch-related code.
- Rename BuiltinTensorize to BackendTypeConversion since now it handles
  bool conversions (and, when we add !torch.int and !torch.float, it
  will handle those as well), and generalize the related utilities (I
  also moved them to Torch/Transforms since they aren't really part of
  Torch/IR).
  - Add `torch.to_i1` and `torch.from_i1` ops for materializations
- [cleanup] Reorganize `torch.constant.*` ops in TorchOps.td
- Remove dependency of `torch` dialect on `basicpy` dialect and also
  `std` dialect. For `std`, we use some call related ops, but the
  `torch` dialect itself never produces them (we have passes that do
  though).

This is fairly mechanical. Recommended review order:
- New stuff in Torch/IR
- New BuiltinTypeConversion files.
- Mechnical fixups elsewhere.
2021-06-16 13:22:00 -07:00
Sean Silva 3ccf6002af Add `torch.constant.int` and `torch.constant.float`.
- This removes reliance on basicpy.numeric_constant.
- Also, add OpAsmOpInterface to the `torch.constant.none` and
  `torch.constant.str` ops.
2021-06-15 15:29:42 -07:00
Sean Silva 7b6fa27838 Rename tests to match the code they test
- `module_import -> ivalue_import`, as it mainly tests ivalue_importer.cpp
- `graph_import -> node_import`, as it mainly tests node_importer.cpp
 - graph_importer.cpp does call into node_importer.cpp, but doesn't do
 much.

This was getting pretty confusing. Also add README.md's in each
directory for more clarity.
2021-02-25 13:31:33 -08:00