76647fce13
This is a major step along the way towards the new STEA design. While a great deal of this patch is simple renaming, there are several significant changes as well. I've done my best to ensure that this patch retains the previous behavior and error-conditions, even though those are at odds with the eventual intended semantics of the `dimToLvl` mapping. Since the majority of the compiler does not yet support non-permutations, I've also added explicit assertions in places that previously had implicitly assumed it was dealing with permutations. Reviewed By: aartbik Differential Revision: https://reviews.llvm.org/D151505
82 lines
3.5 KiB
C++
82 lines
3.5 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>(DimLevelType::Dense) &&
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static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED) ==
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static_cast<int>(DimLevelType::Compressed) &&
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static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NU) ==
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static_cast<int>(DimLevelType::CompressedNu) &&
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static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NO) ==
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static_cast<int>(DimLevelType::CompressedNo) &&
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static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_COMPRESSED_NU_NO) ==
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static_cast<int>(DimLevelType::CompressedNuNo) &&
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static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON) ==
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static_cast<int>(DimLevelType::Singleton) &&
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static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NU) ==
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static_cast<int>(DimLevelType::SingletonNu) &&
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static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NO) ==
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static_cast<int>(DimLevelType::SingletonNo) &&
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static_cast<int>(MLIR_SPARSE_TENSOR_DIM_LEVEL_SINGLETON_NU_NO) ==
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static_cast<int>(DimLevelType::SingletonNuNo),
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"MlirSparseTensorDimLevelType (C-API) and DimLevelType (C++) mismatch");
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bool mlirAttributeIsASparseTensorEncodingAttr(MlirAttribute attr) {
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return isa<SparseTensorEncodingAttr>(unwrap(attr));
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}
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MlirAttribute
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mlirSparseTensorEncodingAttrGet(MlirContext ctx, intptr_t lvlRank,
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MlirSparseTensorDimLevelType const *lvlTypes,
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MlirAffineMap dimToLvl, int posWidth,
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int crdWidth) {
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SmallVector<DimLevelType> cppLvlTypes;
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cppLvlTypes.reserve(lvlRank);
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for (intptr_t l = 0; l < lvlRank; ++l)
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cppLvlTypes.push_back(static_cast<DimLevelType>(lvlTypes[l]));
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return wrap(SparseTensorEncodingAttr::get(
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unwrap(ctx), cppLvlTypes, unwrap(dimToLvl), posWidth, crdWidth));
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}
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MlirAffineMap mlirSparseTensorEncodingAttrGetDimToLvl(MlirAttribute attr) {
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return wrap(cast<SparseTensorEncodingAttr>(unwrap(attr)).getDimToLvl());
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}
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intptr_t mlirSparseTensorEncodingGetLvlRank(MlirAttribute attr) {
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return cast<SparseTensorEncodingAttr>(unwrap(attr)).getLvlRank();
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}
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MlirSparseTensorDimLevelType
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mlirSparseTensorEncodingAttrGetLvlType(MlirAttribute attr, intptr_t lvl) {
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return static_cast<MlirSparseTensorDimLevelType>(
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cast<SparseTensorEncodingAttr>(unwrap(attr)).getLvlType(lvl));
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}
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int mlirSparseTensorEncodingAttrGetPosWidth(MlirAttribute attr) {
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return cast<SparseTensorEncodingAttr>(unwrap(attr)).getPosWidth();
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}
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int mlirSparseTensorEncodingAttrGetCrdWidth(MlirAttribute attr) {
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return cast<SparseTensorEncodingAttr>(unwrap(attr)).getCrdWidth();
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}
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