bcfa7baec8
* Adds dialect registration, hand coded 'encoding' attribute and test. * An MLIR CAPI tablegen backend for attributes does not exist, and this is a relatively complicated case. I opted to hand code it in a canonical way for now, which will provide a reasonable blueprint for building out the tablegen version in the future. * Also added a (local) CMake function for declaring new CAPI tests, since it was getting repetitive/buggy. Differential Revision: https://reviews.llvm.org/D102141
72 lines
3.0 KiB
C++
72 lines
3.0 KiB
C++
//===- Tensor.cpp - C API for SparseTensor dialect ------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir-c/Dialect/SparseTensor.h"
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#include "mlir-c/IR.h"
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#include "mlir/CAPI/AffineMap.h"
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#include "mlir/CAPI/Registration.h"
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#include "mlir/Dialect/SparseTensor/IR/SparseTensor.h"
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#include "mlir/Support/LLVM.h"
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using namespace llvm;
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using namespace mlir::sparse_tensor;
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MLIR_DEFINE_CAPI_DIALECT_REGISTRATION(SparseTensor, sparse_tensor,
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mlir::sparse_tensor::SparseTensorDialect)
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// Ensure the C-API enums are int-castable to C++ equivalents.
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static_assert(
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static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_DENSE) ==
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static_cast<int>(SparseTensorEncodingAttr::DimLevelType::Dense) &&
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static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED) ==
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static_cast<int>(
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SparseTensorEncodingAttr::DimLevelType::Compressed) &&
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static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON) ==
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static_cast<int>(SparseTensorEncodingAttr::DimLevelType::Singleton),
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"MlirSparseTensorDimLevelType (C-API) and DimLevelType (C++) mismatch");
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bool mlirAttributeIsASparseTensorEncodingAttr(MlirAttribute attr) {
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return unwrap(attr).isa<SparseTensorEncodingAttr>();
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}
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MlirAttribute mlirSparseTensorEncodingAttrGet(
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MlirContext ctx, intptr_t numDimLevelTypes,
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MlirSparseTensorDimLevelType const *dimLevelTypes,
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MlirAffineMap dimOrdering, int pointerBitWidth, int indexBitWidth) {
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SmallVector<SparseTensorEncodingAttr::DimLevelType> cppDimLevelTypes;
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cppDimLevelTypes.resize(numDimLevelTypes);
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for (intptr_t i = 0; i < numDimLevelTypes; ++i)
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cppDimLevelTypes[i] =
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static_cast<SparseTensorEncodingAttr::DimLevelType>(dimLevelTypes[i]);
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return wrap(SparseTensorEncodingAttr::get(unwrap(ctx), cppDimLevelTypes,
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unwrap(dimOrdering),
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pointerBitWidth, indexBitWidth));
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}
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MlirAffineMap mlirSparseTensorEncodingAttrGetDimOrdering(MlirAttribute attr) {
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return wrap(unwrap(attr).cast<SparseTensorEncodingAttr>().getDimOrdering());
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}
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intptr_t mlirSparseTensorEncodingGetNumDimLevelTypes(MlirAttribute attr) {
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return unwrap(attr).cast<SparseTensorEncodingAttr>().getDimLevelType().size();
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}
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MlirSparseTensorDimLevelType
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mlirSparseTensorEncodingAttrGetDimLevelType(MlirAttribute attr, intptr_t pos) {
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return static_cast<MlirSparseTensorDimLevelType>(
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unwrap(attr).cast<SparseTensorEncodingAttr>().getDimLevelType()[pos]);
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}
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int mlirSparseTensorEncodingAttrGetPointerBitWidth(MlirAttribute attr) {
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return unwrap(attr).cast<SparseTensorEncodingAttr>().getPointerBitWidth();
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}
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int mlirSparseTensorEncodingAttrGetIndexBitWidth(MlirAttribute attr) {
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return unwrap(attr).cast<SparseTensorEncodingAttr>().getIndexBitWidth();
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}
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