torch-mlir

Commit Graph

Author	SHA1	Message	Date
Sean Silva	83b5b5456d	Bump llvm-project to da289a174fc6617c7be37be2947480510fd4f02a - Build adjustments for `.cpp.inc` dialect files. - Renaming of `memref.dim` to `tensor.dim` for tensor case. Minor changes: - Renaming of `mlir::linalg::ReassociationIndices` to `mlir::ReassociationIndices`. - Adjust command line option parsing in npcomp-run-mlir.	2021-07-07 13:57:29 -07:00
Sean Silva	99178a167d	Bump llvm-project to 0524a09cc7e1a0797982feacf505825231efbee7 - renames of OwningRewritePatternList -> RewritePatternSet - also `insert` to `add` - RewritePatternSet holds a context now - memref dialect split from std	2021-03-23 14:29:05 -07:00
Sean Silva	1c7c362e29	[TCP] Replace tcp.matmul with linalg.matmul. This involved adding a `tcp.splatted` op to splat a dynamically sized init tensor. See rationale in TCPOps.td docs. One interesting observation is that when lowering tcf.matmul to linalg.matmul, we need to both 1) create the error checks and 2) calculate a shape transfer function to create the init tensors. Previously, 2) was deferred to bufferizing tcp.matmul later. I'm not sure if this is a conflation of concerns or not. For now, it's not a big burden.	2020-11-10 18:58:28 -08:00

Author

SHA1

Message

Date

Sean Silva

83b5b5456d

Bump llvm-project to da289a174fc6617c7be37be2947480510fd4f02a

- Build adjustments for `.cpp.inc` dialect files.
- Renaming of `memref.dim` to `tensor.dim` for tensor case.

Minor changes:
- Renaming of `mlir::linalg::ReassociationIndices` to
  `mlir::ReassociationIndices`.
- Adjust command line option parsing in npcomp-run-mlir.

2021-07-07 13:57:29 -07:00

Sean Silva

99178a167d

Bump llvm-project to 0524a09cc7e1a0797982feacf505825231efbee7

- renames of OwningRewritePatternList -> RewritePatternSet
  - also `insert` to `add`
- RewritePatternSet holds a context now
- memref dialect split from std

2021-03-23 14:29:05 -07:00

Sean Silva

1c7c362e29

[TCP] Replace tcp.matmul with linalg.matmul.

This involved adding a `tcp.splatted` op to splat a dynamically sized
init tensor. See rationale in TCPOps.td docs.

One interesting observation is that when lowering tcf.matmul to
linalg.matmul, we need to both 1) create the error checks and 2)
calculate a shape transfer function to create the init tensors.
Previously, 2) was deferred to bufferizing tcp.matmul later. I'm not
sure if this is a conflation of concerns or not. For now, it's not a big
burden.

2020-11-10 18:58:28 -08:00

3 Commits (cd44a35177cc9ae4edd4e3e32a8a22fab7e3a56f)