52 lines
2.3 KiB
C++
52 lines
2.3 KiB
C++
/* Copyright 2017 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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// Helper methods for XLA Gather Ops.
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#ifndef TENSORFLOW_COMPILER_TF2XLA_KERNELS_GATHER_OP_HELPERS_H_
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#define TENSORFLOW_COMPILER_TF2XLA_KERNELS_GATHER_OP_HELPERS_H_
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#include "tensorflow/compiler/tf2xla/xla_op_kernel.h"
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#include "tensorflow/compiler/xla/client/client_library.h"
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#include "tensorflow/compiler/xla/client/xla_builder.h"
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#include "tensorflow/core/framework/op_kernel.h"
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#include "tensorflow/core/util/bcast.h"
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namespace tensorflow {
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// Adds to builder an XLA computation that performs a gather on input (of
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// shape input_shape) keyed on indices (of shape indices_shape).
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//
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// index_type must be must be DT_INT32 or DT_INT64.
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// If `indices_are_nd` is true, the last dimension of `indices` are treated as
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// a multidimensional index values. Otherwise, `indices` is treated as a tensor
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// of scalar indices.
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Status XlaGather(const xla::XlaOp& input, const TensorShape& input_shape,
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const xla::XlaOp& indices, const TensorShape& indices_shape,
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int64 axis, bool indices_are_nd, DataType dtype,
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DataType index_type, xla::XlaBuilder* builder,
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xla::XlaOp* gather_output);
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// The implementation of Gather and ResourceGather through XLA. Uses `input` as
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// the input instead of context->input(0) in order to allow ResourceGather to
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// handle obtaining the data from the ResourceVariable.
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Status XlaGatherWithBatchDimsOpImpl(XlaOpKernelContext* context,
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const xla::XlaOp input,
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const TensorShape& input_shape,
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int batch_dims, xla::XlaOp* gather_output);
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_KERNELS_GATHER_OP_HELPERS_H_
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