100 lines
4.3 KiB
C++
100 lines
4.3 KiB
C++
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//===- StorageBase.cpp - TACO-flavored sparse tensor representation -------===//
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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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//
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// This file contains method definitions for `SparseTensorStorageBase`.
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// In particular we want to ensure that the default implementations of
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// the "partial method specialization" trick aren't inline (since there's
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// no benefit).
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/ExecutionEngine/SparseTensor/Storage.h"
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using namespace mlir::sparse_tensor;
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static inline bool isAllDense(uint64_t lvlRank, const LevelType *lvlTypes) {
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for (uint64_t l = 0; l < lvlRank; l++)
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if (!isDenseLT(lvlTypes[l]))
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return false;
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return true;
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}
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SparseTensorStorageBase::SparseTensorStorageBase( // NOLINT
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uint64_t dimRank, const uint64_t *dimSizes, uint64_t lvlRank,
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const uint64_t *lvlSizes, const LevelType *lvlTypes,
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const uint64_t *dim2lvl, const uint64_t *lvl2dim)
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: dimSizes(dimSizes, dimSizes + dimRank),
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lvlSizes(lvlSizes, lvlSizes + lvlRank),
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lvlTypes(lvlTypes, lvlTypes + lvlRank),
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dim2lvlVec(dim2lvl, dim2lvl + lvlRank),
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lvl2dimVec(lvl2dim, lvl2dim + dimRank),
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map(dimRank, lvlRank, dim2lvlVec.data(), lvl2dimVec.data()),
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allDense(isAllDense(lvlRank, lvlTypes)) {
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assert(dimSizes && lvlSizes && lvlTypes && dim2lvl && lvl2dim);
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// Validate dim-indexed parameters.
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assert(dimRank > 0 && "Trivial shape is unsupported");
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for (uint64_t d = 0; d < dimRank; d++)
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assert(dimSizes[d] > 0 && "Dimension size zero has trivial storage");
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// Validate lvl-indexed parameters.
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assert(lvlRank > 0 && "Trivial shape is unsupported");
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for (uint64_t l = 0; l < lvlRank; l++) {
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assert(lvlSizes[l] > 0 && "Level size zero has trivial storage");
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assert(isDenseLvl(l) || isCompressedLvl(l) || isLooseCompressedLvl(l) ||
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isSingletonLvl(l) || is2OutOf4Lvl(l));
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}
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}
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// Helper macro for wrong "partial method specialization" errors.
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#define FATAL_PIV(NAME) \
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MLIR_SPARSETENSOR_FATAL("<P,I,V> type mismatch for: " #NAME);
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#define IMPL_GETPOSITIONS(PNAME, P) \
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void SparseTensorStorageBase::getPositions(std::vector<P> **, uint64_t) { \
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FATAL_PIV("getPositions" #PNAME); \
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}
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MLIR_SPARSETENSOR_FOREVERY_FIXED_O(IMPL_GETPOSITIONS)
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#undef IMPL_GETPOSITIONS
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#define IMPL_GETCOORDINATES(CNAME, C) \
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void SparseTensorStorageBase::getCoordinates(std::vector<C> **, uint64_t) { \
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FATAL_PIV("getCoordinates" #CNAME); \
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}
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MLIR_SPARSETENSOR_FOREVERY_FIXED_O(IMPL_GETCOORDINATES)
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#undef IMPL_GETCOORDINATES
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#define IMPL_GETVALUES(VNAME, V) \
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void SparseTensorStorageBase::getValues(std::vector<V> **) { \
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FATAL_PIV("getValues" #VNAME); \
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}
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MLIR_SPARSETENSOR_FOREVERY_V(IMPL_GETVALUES)
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#undef IMPL_GETVALUES
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#define IMPL_FORWARDINGINSERT(VNAME, V) \
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void SparseTensorStorageBase::forwardingInsert(const uint64_t *, V) { \
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FATAL_PIV("forwardingInsert" #VNAME); \
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}
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MLIR_SPARSETENSOR_FOREVERY_V(IMPL_FORWARDINGINSERT)
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#undef IMPL_FORWARDINGINSERT
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#define IMPL_LEXINSERT(VNAME, V) \
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void SparseTensorStorageBase::lexInsert(const uint64_t *, V) { \
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FATAL_PIV("lexInsert" #VNAME); \
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}
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MLIR_SPARSETENSOR_FOREVERY_V(IMPL_LEXINSERT)
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#undef IMPL_LEXINSERT
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#define IMPL_EXPINSERT(VNAME, V) \
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void SparseTensorStorageBase::expInsert(uint64_t *, V *, bool *, uint64_t *, \
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uint64_t, uint64_t) { \
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FATAL_PIV("expInsert" #VNAME); \
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}
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MLIR_SPARSETENSOR_FOREVERY_V(IMPL_EXPINSERT)
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#undef IMPL_EXPINSERT
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#undef FATAL_PIV
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