Commit Graph

13 Commits (5ad144c4feadcf88aad0f5f5acfa8a19c1a45522)

Author SHA1 Message Date
Sean Silva 544cb4ef54 Bump llvm-project to 484b6648fdd4b104eaf7a2504dd07b60af2c9f8d
- add_mlir_doc arg order
- fix some dependent dialects on passes that were now causing errors
- "encoding" attribute on mlirRankedTensorTypeGetChecked
2021-04-22 18:12:55 -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
Aaron J Arthurs 484fe0d9bd Reformat code 2021-01-28 12:01:35 -08:00
Aaron J Arthurs c0e14da888 Fix TensorFromElementsOp reference 2021-01-28 12:01:35 -08:00
Aaron J Arthurs fc650c9447 Import TCP pad 2021-01-28 12:01:35 -08:00
Sean Silva b2077738ca Bump llvm-project to 444822d77a7fea28aa49edf24533c987efa1b2ee
Fixes:
- renames StandardTypes -> BuiltinTypes
- std.extract_element -> tensor.extract
2020-12-11 14:43:38 -08:00
Sean Silva 358159a6eb [RefBackend] Open-code shape.get_extent as extract_element
It was annoying that we were creating shape.get_extent in the middle of
the bufferization pipeline, as it required running convert-shape-to-std
at an awkward place. To make that cleaner, just open-code the
extract_element ops that shape.get_extent expands into.

This is a little gross, but it helps with the macroscopic pipeline
ordering issues. Anyway, the train is long-gone of trying to treat
shapes as some special data type that should only be operated on with
shape ops.

Also,
- reorder tensor constant bufferize (which is a module pass) to bracket
all the bufferization function passes, to make the parallelism
opportunities there clearer. Now we have a very clean little
bufferization segment of our pipeline construction.
2020-11-17 11:00:38 -08:00
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
Sean Silva 0427aacb0b [TCP] Replace elementwise ops with std elementwise ops. 2020-11-10 18:58:28 -08:00
Sean Silva 1874bf5eb1 NFC: Clean up some minor nits
- Remove GreedyPatternRewriteDriver.h from files that don't need it
- fix typo shouldBeCloned -> wouldBeCloned
2020-10-30 18:48:25 -07:00
Stella Laurenzo a3f4db9fe8 Bump llvm-project to c8c07b76b2cf2ada8e7ec132f7f57b97d76743cf.
* Several NFC changes to signatures/includes.
2020-10-29 15:25:55 -07:00
Aaron J Arthurs 94ea6f7c92 [RefBackend] Support element-wise multiply op
Register the following for the multiply op:
- tcf.mul
- tcp.mul
- TCP->TCP lowering
- Shape transfer, broadcasted multiplicands
- Lower to standard `MulFOp` op
2020-10-27 19:41:23 -07:00
Sean Silva 06a8ba6900 [RefBackend] Use more idiomatic bufferize pattern for TCP.
The time has come for BypassShapes/LowerShapedResultsToMemref to go away :(
For the reference backend, being consistent with upstream conventions is
the name of the game now.

This is a step down in a number of ways, e.g. test clarity and
separation of concerns. But it is fewer files and fewer tests, and
*does* address the "TODO: This is really fragile". It also eliminates two
more ops from the refback dialect (sadly, they are the
shaped_results/yield that we were getting kind of fond of, but alas).
2020-10-15 20:15:53 -07:00