blob: 4abfcab8b548935e5dfb935d331f93561d82205c [file] [log] [blame]
/* 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_PARALLEL_INTERLEAVE_DATASET_OP_H_
#define TENSORFLOW_CORE_KERNELS_DATA_PARALLEL_INTERLEAVE_DATASET_OP_H_
#include "tensorflow/core/framework/dataset.h"
#include "tensorflow/core/kernels/data/captured_function.h"
namespace tensorflow {
namespace data {
class ParallelInterleaveDatasetOp : public UnaryDatasetOpKernel {
public:
static constexpr const char* const kDatasetType = "ParallelInterleave";
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 kNumParallelCalls = "num_parallel_calls";
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";
static constexpr const char* const kSloppy = "sloppy";
explicit ParallelInterleaveDatasetOp(OpKernelConstruction* ctx);
protected:
void MakeDataset(OpKernelContext* ctx, DatasetBase* input,
DatasetBase** output) override;
private:
class Dataset;
std::shared_ptr<FunctionMetadata> func_metadata_ = nullptr;
DataTypeVector output_types_;
std::vector<PartialTensorShape> output_shapes_;
bool sloppy_;
};
} // namespace data
} // namespace tensorflow
#endif // TENSORFLOW_CORE_KERNELS_DATA_PARALLEL_INTERLEAVE_DATASET_OP_H_