38 lines
1.6 KiB
C++
38 lines
1.6 KiB
C++
/* Copyright 2018 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_TF2XLA_LIB_BROADCAST_H_
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#define TENSORFLOW_COMPILER_TF2XLA_LIB_BROADCAST_H_
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#include "absl/types/span.h"
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#include "tensorflow/compiler/xla/client/xla_builder.h"
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#include "tensorflow/compiler/xla/statusor.h"
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namespace tensorflow {
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// Broadcasts 'input' up to shape 'output_dims', using TensorFlow broadcasting
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// rules. Supports broadcasting a dimension of size x to size x*y, i.e., tiling.
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xla::StatusOr<xla::XlaOp> BroadcastTo(xla::XlaOp input,
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absl::Span<int64 const> output_dims);
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// Both ops are broadcasted to the same dimensions, so that each dimension is
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// the max of the two.
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// An InvalidArgument will be returned if the operations are of different rank
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// or they share a dimension where they are unequal and neither is 1.
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Status BroadcastOpsToSame(xla::XlaOp* lhs, xla::XlaOp* rhs);
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_LIB_BROADCAST_H_
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