[all-commits] [llvm/llvm-project] b7ae1d: [mlir][Linalg] Revisit the Linalg on tensors abstr...

[Nicolas Vasilache via All-commits]

  Branch: refs/heads/master
  Home:   https://github.com/llvm/llvm-project
  Commit: b7ae1d3d2b1b1d73374a0583150c452273318268
      https://github.com/llvm/llvm-project/commit/b7ae1d3d2b1b1d73374a0583150c452273318268
  Author: nicolasvasilache <ntv at google.com>
  Date:   2020-12-21 (Mon, 21 Dec 2020)

  Changed paths:
    M mlir/docs/Dialects/Linalg.md
    M mlir/include/mlir/Dialect/Linalg/Analysis/DependenceAnalysis.h
    M mlir/include/mlir/Dialect/Linalg/EDSC/Builders.h
    M mlir/include/mlir/Dialect/Linalg/EDSC/Intrinsics.h
    M mlir/include/mlir/Dialect/Linalg/IR/LinalgOps.h
    M mlir/include/mlir/Dialect/Linalg/IR/LinalgStructuredOps.td
    M mlir/include/mlir/Dialect/Linalg/IR/LinalgStructuredOpsInterface.td
    R mlir/include/mlir/Dialect/Linalg/IR/LinalgTraits.h
    M mlir/include/mlir/IR/OpBase.td
    M mlir/integration_test/Dialect/Linalg/CPU/test-tensor-matmul.mlir
    M mlir/lib/Dialect/Linalg/Analysis/DependenceAnalysis.cpp
    M mlir/lib/Dialect/Linalg/EDSC/Builders.cpp
    M mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
    M mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp
    M mlir/lib/Dialect/Linalg/Transforms/DropUnitDims.cpp
    M mlir/lib/Dialect/Linalg/Transforms/ElementwiseToLinalg.cpp
    M mlir/lib/Dialect/Linalg/Transforms/Fusion.cpp
    M mlir/lib/Dialect/Linalg/Transforms/FusionOnTensors.cpp
    M mlir/lib/Dialect/Linalg/Transforms/Generalization.cpp
    M mlir/lib/Dialect/Linalg/Transforms/Interchange.cpp
    M mlir/lib/Dialect/Linalg/Transforms/Promotion.cpp
    M mlir/lib/Dialect/Linalg/Transforms/Sparsification.cpp
    M mlir/lib/Dialect/Linalg/Transforms/Tiling.cpp
    M mlir/lib/Dialect/Linalg/Transforms/Transforms.cpp
    M mlir/lib/Dialect/Linalg/Transforms/Vectorization.cpp
    M mlir/lib/Dialect/Linalg/Utils/Utils.cpp
    M mlir/lib/Dialect/StandardOps/IR/Ops.cpp
    M mlir/test/Dialect/Linalg/bufferize.mlir
    M mlir/test/Dialect/Linalg/canonicalize-duplicate-inputs.mlir
    M mlir/test/Dialect/Linalg/canonicalize.mlir
    M mlir/test/Dialect/Linalg/convert-elementwise-to-linalg.mlir
    M mlir/test/Dialect/Linalg/drop-unit-extent-dims.mlir
    M mlir/test/Dialect/Linalg/fold-unit-trip-loops.mlir
    M mlir/test/Dialect/Linalg/fusion-tensor.mlir
    M mlir/test/Dialect/Linalg/generalize-named-ops.mlir
    M mlir/test/Dialect/Linalg/invalid.mlir
    M mlir/test/Dialect/Linalg/parallel-loops.mlir
    M mlir/test/Dialect/Linalg/reshape_fusion.mlir
    M mlir/test/Dialect/Linalg/reshape_linearization_fusion.mlir
    M mlir/test/Dialect/Linalg/roundtrip.mlir
    M mlir/test/Dialect/Linalg/sparse_1d.mlir
    M mlir/test/Dialect/Linalg/sparse_2d.mlir
    M mlir/test/Dialect/Linalg/sparse_3d.mlir
    M mlir/test/Dialect/Linalg/sparse_invalid.mlir
    M mlir/test/Dialect/Linalg/sparse_parallel.mlir
    M mlir/test/Dialect/Linalg/sparse_storage.mlir
    M mlir/test/Dialect/Linalg/tile-and-distribute.mlir
    M mlir/test/Dialect/Linalg/tile-and-fuse-tensors.mlir
    M mlir/test/Dialect/Linalg/tile-tensors.mlir
    M mlir/test/EDSC/builder-api-test.cpp
    M mlir/test/mlir-linalg-ods-gen/test-linalg-ods-gen.tc
    M mlir/tools/mlir-linalg-ods-gen/mlir-linalg-ods-gen.cpp

  Log Message:
  -----------
  [mlir][Linalg] Revisit the Linalg on tensors abstraction

This revision drops init_tensor arguments from Linalg on tensors and instead uniformizes the output buffers and output tensors to be consistent.
This significantly simplifies the usage of Linalg on tensors and is a stepping stone for
its evolution towards a mixed tensor and shape abstraction discussed in https://llvm.discourse.group/t/linalg-and-shapes/2421/19.

Differential Revision: https://reviews.llvm.org/D93469