Moved the corresponding `summary` and `description` fields into the subclasses.
Kept BASE_HLO_ConvOp for `hasWindowReversal()'.
PiperOrigin-RevId: 373173025
Add a folder for maps whose body returns only one of the arguments. When this arises the fold replaces the map output with one of the operand tensors.
PiperOrigin-RevId: 369304322
Previously this would be too strict and fail if dynamic and static dims were
compared. Dynamic/unknown are treated as "maybe equal" to a static value without further info, so at this layer don't flag as invalid unless truly are.
PiperOrigin-RevId: 360189086
`mhlo.dot_general` and `mhlo.convolution` result element type might be different from operand element type. See `preferred_element_type` attribute that allows i8xi8 to i32 dot computation. `mhlo` to HLO exporter should pass the result element type to Xla builder to override the shape inference of XLA.
PiperOrigin-RevId: 358580718
Shape inference in case of ops with complex element types need to use the element type of complex as the result element type and not the full operand type.
Before:
"mhlo.abs"(%arg0) : (tensor<4xcomplex<f32>>) -> tensor<4xtensor<4xcomplex<f32>>>
After:
"mhlo.abs"(%arg0) : (tensor<4xcomplex<f32>>) -> tensor<4xf32>
PiperOrigin-RevId: 348123967
- Add this attribute to match the corresponding XLA HLO attribute on convolution
operations.
- A true value indicates a reversal of the corresponding kernel spatial dimension.
- Since XLA builder does not support this attribute, use a custom HLO converted to map
from mlir::mhlo::ConvOp to XLA.
PiperOrigin-RevId: 346891737
- Split out enum definitions in hlo dialect into a separate .td file (similar to structs)
and generate enum decl/defs for these enums.
- Also split out the LHLO GPU enums into a separate .td file and generate enum
decl/defs for these enums as well.
- Remove unused dialect from ConvolutionAttributes and generate lhlo_gpu enums.
- Add appropriate namespace for all the enums.
PiperOrigin-RevId: 345277240
- Extend MHLO CustomCall to have multiple tensors as results.
- Extend LHLO CustomCall to have multiple memrefs for output operands.
- Fix HLO->LHLO and XLA HLO->LHLO mapping for CustomCall to setup the
operand_segment_sizes attribute correctly.
PiperOrigin-RevId: 342067762
This is to match with HLO semantics and general dimension semantics in MLIR.
Also,
* Define minimal verifier for these ops.
* Add folder for SetDimensionSize op on static shaped dimension.
* Fix assumption of ranked shape in GetDimensionSize op.
PiperOrigin-RevId: 341150923
If unspecified, `compare_type` is FLOAT for float element types, SIGNED for signed element types and UNSIGNED for unsigned element types. compare_type can be TOTALORDER for float element types.
- Added import and export support the attribute.
- Restricted legalization from HLO to TF to the default compare types.
- Updated existing usage of the CompareOp
PiperOrigin-RevId: 339099219
- Create a common class that hold ConvOp attributes that are common to MHLO and
LHLO Dialects and use Tablegen DAG concat to append these common attributes to
dialect specific arguments in ODS for ConvOp.
PiperOrigin-RevId: 336114003
Rahul Joshi
A. Unique TensorFlower
Jacques Pienaar
Itai Zukerman
Geoffrey Martin-Noble
Benjamin Kramer
Prakalp Srivastava
Adrian Kuegel
Tim Shen
Alexander Belyaev
Smit Hinsu
Alex Zinenko
Richard Uhler
Robert Suderman