[all-commits] [llvm/llvm-project] c48e90: [mlir][sparse] introduce a higher-order tensor map...

[Aart Bik via All-commits]

  Branch: refs/heads/main
  Home:   https://github.com/llvm/llvm-project
  Commit: c48e90877f936710491614b39147410f711c9931
      https://github.com/llvm/llvm-project/commit/c48e90877f936710491614b39147410f711c9931
  Author: Aart Bik <ajcbik at google.com>
  Date:   2022-10-05 (Wed, 05 Oct 2022)

  Changed paths:
    M mlir/include/mlir-c/Dialect/SparseTensor.h
    M mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorAttrDefs.td
    M mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorBase.td
    M mlir/lib/Bindings/Python/DialectSparseTensor.cpp
    M mlir/lib/CAPI/Dialect/SparseTensor.cpp
    M mlir/lib/Dialect/SparseTensor/IR/SparseTensorDialect.cpp
    M mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorConversion.cpp
    M mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorRewriting.cpp
    M mlir/lib/Dialect/SparseTensor/Transforms/Sparsification.cpp
    M mlir/test/CAPI/sparse_tensor.c
    M mlir/test/Dialect/SparseTensor/invalid_encoding.mlir
    M mlir/test/Dialect/SparseTensor/roundtrip_encoding.mlir
    M mlir/test/Integration/Dialect/SparseTensor/python/test_SDDMM.py
    M mlir/test/Integration/Dialect/SparseTensor/python/test_SpMM.py
    M mlir/test/Integration/Dialect/SparseTensor/python/test_output.py
    M mlir/test/Integration/Dialect/SparseTensor/python/test_stress.py
    M mlir/test/Integration/Dialect/SparseTensor/taco/tools/mlir_pytaco.py
    M mlir/test/python/dialects/sparse_tensor/dialect.py

  Log Message:
  -----------
  [mlir][sparse] introduce a higher-order tensor mapping

This extension to the sparse tensor type system in MLIR
opens up a whole new set of sparse storage schemes, such as
block sparse storage (e.g. BCSR) and ELL (aka jagged diagonals).

This revision merely introduces the type extension and
initial documentation. The actual interpretation of the type
(reading in tensors, lowering to code, etc.) will follow.

Reviewed By: Peiming

Differential Revision: https://reviews.llvm.org/D135206