/* Copyright 2018 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.
=======================================================================*/

// This class has been generated, DO NOT EDIT!

package org.tensorflow.op.data;

import java.util.Arrays;
import java.util.List;
import org.tensorflow.GraphOperation;
import org.tensorflow.Operand;
import org.tensorflow.Operation;
import org.tensorflow.OperationBuilder;
import org.tensorflow.Output;
import org.tensorflow.ndarray.Shape;
import org.tensorflow.op.Operands;
import org.tensorflow.op.RawOp;
import org.tensorflow.op.RawOpInputs;
import org.tensorflow.op.Scope;
import org.tensorflow.op.annotation.Endpoint;
import org.tensorflow.op.annotation.OpInputsMetadata;
import org.tensorflow.op.annotation.OpMetadata;
import org.tensorflow.proto.framework.DataType;
import org.tensorflow.types.family.TType;

/**
 * The SnapshotNestedDatasetReader operation
 */
@OpMetadata(
    opType = SnapshotNestedDatasetReader.OP_NAME,
    inputsClass = SnapshotNestedDatasetReader.Inputs.class
)
public final class SnapshotNestedDatasetReader extends RawOp implements Operand<TType> {
  /**
   * The name of this op, as known by TensorFlow core engine
   */
  public static final String OP_NAME = "SnapshotNestedDatasetReader";

  private Output<? extends TType> handle;

  @SuppressWarnings("unchecked")
  public SnapshotNestedDatasetReader(Operation operation) {
    super(operation, OP_NAME);
    int outputIdx = 0;
    handle = operation.output(outputIdx++);
  }

  /**
   * Factory method to create a class wrapping a new SnapshotNestedDatasetReader operation.
   *
   * @param scope current scope
   * @param inputs The inputs value
   * @param outputTypes The value of the outputTypes attribute
   * @param outputShapes The value of the outputShapes attribute
   * @return a new instance of SnapshotNestedDatasetReader
   */
  @Endpoint(
      describeByClass = true
  )
  public static SnapshotNestedDatasetReader create(Scope scope,
      Iterable<Operand<? extends TType>> inputs, List<Class<? extends TType>> outputTypes,
      List<Shape> outputShapes) {
    OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "SnapshotNestedDatasetReader");
    opBuilder.addInputList(Operands.asOutputs(inputs));
    opBuilder.setAttr("output_types", Operands.toDataTypes(outputTypes));
    Shape[] outputShapesArray = new Shape[outputShapes.size()];
    for (int i = 0 ; i < outputShapesArray.length ; i++) {
      outputShapesArray[i] = outputShapes.get(i);
    }
    opBuilder.setAttr("output_shapes", outputShapesArray);
    return new SnapshotNestedDatasetReader(opBuilder.build());
  }

  /**
   * Gets handle.
   *
   * @return handle.
   */
  public Output<? extends TType> handle() {
    return handle;
  }

  @Override
  @SuppressWarnings("unchecked")
  public Output<TType> asOutput() {
    return (Output<TType>) handle;
  }

  @OpInputsMetadata(
      outputsClass = SnapshotNestedDatasetReader.class
  )
  public static class Inputs extends RawOpInputs<SnapshotNestedDatasetReader> {
    /**
     * The inputs input
     */
    public final Iterable<Operand<? extends TType>> inputs;

    /**
     * The outputTypes attribute
     */
    public final DataType[] outputTypes;

    /**
     * The outputShapes attribute
     */
    public final Shape[] outputShapes;

    public Inputs(GraphOperation op) {
      super(new SnapshotNestedDatasetReader(op), op, Arrays.asList("output_types", "output_shapes"));
      int inputIndex = 0;
      int inputsLength = op.inputListLength("inputs");
      inputs = Arrays.asList((Operand<? extends TType>[]) op.inputList(inputIndex, inputsLength));
      inputIndex += inputsLength;
      outputTypes = op.attributes().getAttrTypeList("output_types");
      outputShapes = op.attributes().getAttrShapeList("output_shapes");
    }
  }
}
