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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_CORE_KERNELS_DATA_INTERLEAVE_DATASET_OP_H_
#define TENSORFLOW_CORE_KERNELS_DATA_INTERLEAVE_DATASET_OP_H_
#include "tensorflow/core/framework/dataset.h"
#include "tensorflow/core/kernels/data/captured_function.h"
namespace tensorflow {
namespace data {
class InterleaveDatasetOp : public UnaryDatasetOpKernel {
public:
static constexpr const char* const kDatasetType = "Interleave";
static constexpr const char* const kInputDataset = "input_dataset";
static constexpr const char* const kOtherArguments = "other_arguments";
static constexpr const char* const kCycleLength = "cycle_length";
static constexpr const char* const kBlockLength = "block_length";
static constexpr const char* const kFunc = "f";
static constexpr const char* const kTarguments = "Targuments";
static constexpr const char* const kOutputTypes = "output_types";
static constexpr const char* const kOutputShapes = "output_shapes";
explicit InterleaveDatasetOp(OpKernelConstruction* ctx);
protected:
void MakeDataset(OpKernelContext* ctx, DatasetBase* input,
DatasetBase** output) override;
private:
class Dataset;
const int graph_def_version_;
DataTypeVector output_types_;
std::vector<PartialTensorShape> output_shapes_;
std::shared_ptr<FunctionMetadata> func_metadata_ = nullptr;
};
} // namespace data
} // namespace tensorflow
#endif // TENSORFLOW_CORE_KERNELS_DATA_INTERLEAVE_DATASET_OP_H_