llvm-project/mlir/lib/CAPI/Dialect/SparseTensor.cpp
Aart Bik c48e90877f [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
2022-10-05 09:40:51 -07:00

98 lines
4.2 KiB
C++

//===- Tensor.cpp - C API for SparseTensor dialect ------------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#include "mlir-c/Dialect/SparseTensor.h"
#include "mlir-c/IR.h"
#include "mlir/CAPI/AffineMap.h"
#include "mlir/CAPI/Registration.h"
#include "mlir/Dialect/SparseTensor/IR/SparseTensor.h"
#include "mlir/Support/LLVM.h"
using namespace llvm;
using namespace mlir::sparse_tensor;
MLIR_DEFINE_CAPI_DIALECT_REGISTRATION(SparseTensor, sparse_tensor,
mlir::sparse_tensor::SparseTensorDialect)
// Ensure the C-API enums are int-castable to C++ equivalents.
static_assert(
static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_DENSE) ==
static_cast<int>(SparseTensorEncodingAttr::DimLevelType::Dense) &&
static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED) ==
static_cast<int>(
SparseTensorEncodingAttr::DimLevelType::Compressed) &&
static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NU) ==
static_cast<int>(
SparseTensorEncodingAttr::DimLevelType::CompressedNu) &&
static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NO) ==
static_cast<int>(
SparseTensorEncodingAttr::DimLevelType::CompressedNo) &&
static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NU_NO) ==
static_cast<int>(
SparseTensorEncodingAttr::DimLevelType::CompressedNuNo) &&
static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON) ==
static_cast<int>(
SparseTensorEncodingAttr::DimLevelType::Singleton) &&
static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NU) ==
static_cast<int>(
SparseTensorEncodingAttr::DimLevelType::SingletonNu) &&
static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NO) ==
static_cast<int>(
SparseTensorEncodingAttr::DimLevelType::SingletonNo) &&
static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NU_NO) ==
static_cast<int>(
SparseTensorEncodingAttr::DimLevelType::SingletonNuNo),
"MlirSparseTensorDimLevelType (C-API) and DimLevelType (C++) mismatch");
bool mlirAttributeIsASparseTensorEncodingAttr(MlirAttribute attr) {
return unwrap(attr).isa<SparseTensorEncodingAttr>();
}
MlirAttribute mlirSparseTensorEncodingAttrGet(
MlirContext ctx, intptr_t numDimLevelTypes,
MlirSparseTensorDimLevelType const *dimLevelTypes,
MlirAffineMap dimOrdering, MlirAffineMap higherOrdering,
int pointerBitWidth, int indexBitWidth) {
SmallVector<SparseTensorEncodingAttr::DimLevelType> cppDimLevelTypes;
cppDimLevelTypes.resize(numDimLevelTypes);
for (intptr_t i = 0; i < numDimLevelTypes; ++i)
cppDimLevelTypes[i] =
static_cast<SparseTensorEncodingAttr::DimLevelType>(dimLevelTypes[i]);
return wrap(SparseTensorEncodingAttr::get(
unwrap(ctx), cppDimLevelTypes, unwrap(dimOrdering),
unwrap(higherOrdering), pointerBitWidth, indexBitWidth));
}
MlirAffineMap mlirSparseTensorEncodingAttrGetDimOrdering(MlirAttribute attr) {
return wrap(unwrap(attr).cast<SparseTensorEncodingAttr>().getDimOrdering());
}
MlirAffineMap
mlirSparseTensorEncodingAttrGetHigherOrdering(MlirAttribute attr) {
return wrap(
unwrap(attr).cast<SparseTensorEncodingAttr>().getHigherOrdering());
}
intptr_t mlirSparseTensorEncodingGetNumDimLevelTypes(MlirAttribute attr) {
return unwrap(attr).cast<SparseTensorEncodingAttr>().getDimLevelType().size();
}
MlirSparseTensorDimLevelType
mlirSparseTensorEncodingAttrGetDimLevelType(MlirAttribute attr, intptr_t pos) {
return static_cast<MlirSparseTensorDimLevelType>(
unwrap(attr).cast<SparseTensorEncodingAttr>().getDimLevelType()[pos]);
}
int mlirSparseTensorEncodingAttrGetPointerBitWidth(MlirAttribute attr) {
return unwrap(attr).cast<SparseTensorEncodingAttr>().getPointerBitWidth();
}
int mlirSparseTensorEncodingAttrGetIndexBitWidth(MlirAttribute attr) {
return unwrap(attr).cast<SparseTensorEncodingAttr>().getIndexBitWidth();
}