52 lines
2.2 KiB
C++
52 lines
2.2 KiB
C++
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_UTILS_BROADCAST_UTILS_H_
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#define TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_UTILS_BROADCAST_UTILS_H_
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// Utilities relating to implementing HLO broadcasting.
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// Note: This file should not depend on any non-MLIR TensorFlow libraries.
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#include "mlir/IR/Attributes.h"
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#include "mlir/IR/Builders.h"
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#include "mlir/IR/BuiltinTypes.h"
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#include "mlir/IR/Location.h"
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#include "mlir/Interfaces/InferTypeOpInterface.h"
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#include "mlir/Support/LLVM.h"
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namespace mlir {
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namespace hlo {
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// Checks whether the given operand types and broadcast_dims attr represent a
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// legal combination for "numpy" style broadcasting (where 1-dims are prepended
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// to the smaller ranked operand until it is of the same rank as the larger).
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// See: https://docs.scipy.org/doc/numpy/reference/ufuncs.html
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bool IsLegalNumpyRankedBroadcast(Value lhs, Value rhs,
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DenseIntElementsAttr broadcast_dims);
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// Emits shape dialect ops to compute the result shape for a broadcasting
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// binary elementwise op which broadcasts according to "numpy" semantics
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// (see above), returning a `shape.shape` or an extent tensor of the resulting
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// shape. The result should only be an extent tensor in contexts that ensure
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// both operands to be broadcastable.
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Value ComputeBinaryElementwiseBroadcastingResultExtents(
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Location loc, Value lhs, Value rhs, OpBuilder& builder,
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bool unsafe_as_extent_tensor);
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} // namespace hlo
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} // namespace mlir
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#endif // TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_UTILS_BROADCAST_UTILS_H_
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