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/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_TRANSFORMS_REWRITERS_H_
#define TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_TRANSFORMS_REWRITERS_H_
#include <functional>
#include <memory>
#include "mlir/IR/MLIRContext.h"
#include "mlir/IR/PatternMatch.h"
#include "mlir/Transforms/DialectConversion.h"
namespace mlir {
namespace bufferization {
class BufferizeTypeConverter;
}
namespace mhlo {
class RemoveSignTypeConverter;
// Collection of rewrite patterns for lowering a general dot product.
void PopulateGeneralDotOpLoweringPatterns(OwningRewritePatternList *patterns,
MLIRContext *ctx);
// Collection of rewrite patterns for lowering complex operations to equivalent
// float operations.
void PopulateComplexLoweringPatterns(MLIRContext *context,
OwningRewritePatternList *patterns);
void PopulateOptimizeMHLOPatterns(MLIRContext *context,
OwningRewritePatternList *patterns);
// Rewrite patterns for einsum to equivalent dot_general legalization.
void PopulateEinsumToDotGeneralPatterns(mlir::MLIRContext *context,
OwningRewritePatternList *patterns);
// Rewrite patterns for gather to equivalent torch index select legalization.
void PopulateGatherToTorchIndexSelectPatterns(
mlir::MLIRContext *context, OwningRewritePatternList *patterns);
void PopulateMhloToStdPatterns(OwningRewritePatternList *patterns,
MLIRContext *ctx);
// Collection of rewrite patterns for lowering all mhlo ops to their
// lmhlo counterparts.
void populateDynamicHLOToLHLOConversionPattern(
MLIRContext *context, bufferization::BufferizeTypeConverter *converter,
OwningRewritePatternList *patterns);
// Collection of rewrite patterns for lowering of HLO to LHLO dialect.
void populateHLOToLHLOConversionPattern(
MLIRContext *context, bufferization::BufferizeTypeConverter *converter,
OwningRewritePatternList *patterns);
// Collection of rewrite patterns for lowering of HLO to memref dialect.
// These patterns generally assume that the HLO operation are aliasing their
// input memrefs. If enforce_identity_map returns true for an op, copies will be
// inserted when the lowering would otherwise lead to a memref with a
// non-identity map.
void populateHLOToMemrefConversionPattern(
bufferization::BufferizeTypeConverter *converter,
RemoveSignTypeConverter *sign_converter, OwningRewritePatternList *patterns,
const std::function<bool(Operation *)> &enforce_identity_map =
[](Operation *) { return true; });
// Collection of rewrite patterns for lowering of shape operations from the HLO
// dialect to the standard dialect.
void populateHLOShapeOpsToStandardConversionPattern(
MLIRContext *context, TypeConverter &type_converter,
OwningRewritePatternList *patterns);
// Collection of rewrite patterns for lowering of HLO to Linalg dialect.
void populateHLOToLinalgConversionPattern(MLIRContext *context,
TypeConverter &typeConverter,
OwningRewritePatternList *patterns);
// Converter to signless intergers to be used with linalg conversion patterns.
std::unique_ptr<TypeConverter> createHloToLinalgSignedIntegerConverter();
// Sets up legality definitions for materializing broadcasts.
void SetupMaterializeBroadcastsLegality(MLIRContext *context,
ConversionTarget *conversionTarget);
// Populates a collection of rewrite patterns for materializing broadcast
// attributes to equivalent sequences of ops.
void PopulateMaterializeBroadcastsPatterns(MLIRContext *context,
OwningRewritePatternList *patterns);
// Populates a collection of rewrite patterns to realize element-wise operations
// on ranked tensors where possible.
void PopulateTransformUnrankedHloPatterns(MLIRContext *context,
OwningRewritePatternList *patterns);
void PopulateDynamicShapeFusionPatterns(MLIRContext *context,
OwningRewritePatternList *patterns);
// Populate a collection of conversion patterns for un-fusing
// batch_norm_inference and batch_norm_training into constituent HLO ops.
// TODO(laurenzo): Implement un-fusing of batch_norm_training.
void PopulateUnfuseBatchNormPatterns(MLIRContext *context,
OwningRewritePatternList *patterns);
// Populates patterns that translate the trigonometric operations from the
// standard dialect to approximations that do not use intrinsics.
void PopulateTrigonometricToApproximationPatterns(
MLIRContext *context, OwningRewritePatternList *patterns);
// Populate patterns to move dynamic broadcasts up over element-wise operations
// and broadcast the operands rather than the result. This will eventually allow
// for larger fusions.
void PopulateMergeAssumingOpsPatterns(MLIRContext *context,
OwningRewritePatternList *patterns);
/// Populate rank specialization clustering and lowering patterns.
void PopulateRankSpecializationClusterPatterns(
MLIRContext *context, OwningRewritePatternList *patterns);
void PopulateRankSpecializationToSCFPatterns(MLIRContext *context,
OwningRewritePatternList *patterns,
int64_t max_target_rank);
} // namespace mhlo
namespace chlo {
// Populates a collection of conversion patterns for legalizing broadcasting
// client-HLO to their non-broadcasting counterparts.
void PopulateChloBroadcastingPatterns(MLIRContext *context,
OwningRewritePatternList *patterns);
// Populates a collection of conversion patterns for legalizing client-HLO to
// HLO by decomposing client-operations to corresponding sequences of more
// primitive operations. This does not include the
// PopulateChloBroadcastingPatterns above.
void PopulateDecomposeChloPatterns(MLIRContext *context,
OwningRewritePatternList *patterns);
} // namespace chlo
} // namespace mlir
#endif // TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_TRANSFORMS_REWRITERS_H_