/* 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.tpu;

import java.util.Arrays;
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;

/**
 * A placeholder op for a value that will be fed into the computation.
 *
 * @param <T> data type for {@code output} output
 */
@OpMetadata(
    opType = InfeedDequeue.OP_NAME,
    inputsClass = InfeedDequeue.Inputs.class
)
public final class InfeedDequeue<T extends TType> extends RawOp implements Operand<T> {
  /**
   * The name of this op, as known by TensorFlow core engine
   */
  public static final String OP_NAME = "InfeedDequeue";

  private Output<T> output;

  public InfeedDequeue(Operation operation) {
    super(operation, OP_NAME);
    int outputIdx = 0;
    output = operation.output(outputIdx++);
  }

  /**
   * Factory method to create a class wrapping a new InfeedDequeue operation.
   *
   * @param scope current scope
   * @param dtype The type of elements in the tensor.
   * @param shape The shape of the tensor.
   * @param <T> data type for {@code InfeedDequeue} output and operands
   * @return a new instance of InfeedDequeue
   */
  @Endpoint(
      describeByClass = true
  )
  public static <T extends TType> InfeedDequeue<T> create(Scope scope, Class<T> dtype,
      Shape shape) {
    OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "InfeedDequeue");
    opBuilder.setAttr("dtype", Operands.toDataType(dtype));
    opBuilder.setAttr("shape", shape);
    return new InfeedDequeue<>(opBuilder.build());
  }

  /**
   * Gets output.
   * A tensor that will be provided using the infeed mechanism.
   * @return output.
   */
  public Output<T> output() {
    return output;
  }

  @Override
  public Output<T> asOutput() {
    return output;
  }

  @OpInputsMetadata(
      outputsClass = InfeedDequeue.class
  )
  public static class Inputs extends RawOpInputs<InfeedDequeue<?>> {
    /**
     * The type of elements in the tensor.
     */
    public final DataType dtype;

    /**
     * The shape of the tensor.
     */
    public final Shape shape;

    public Inputs(GraphOperation op) {
      super(new InfeedDequeue<>(op), op, Arrays.asList("dtype", "shape"));
      int inputIndex = 0;
      dtype = op.attributes().getAttrType("dtype");
      shape = op.attributes().getAttrShape("shape");
    }
  }
}
