/* 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.math;

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.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.op.annotation.Operator;
import org.tensorflow.proto.framework.DataType;
import org.tensorflow.types.TBool;
import org.tensorflow.types.family.TType;

/**
 * Returns the truth value of abs(x-y) &lt; tolerance element-wise.
 */
@OpMetadata(
    opType = ApproximateEqual.OP_NAME,
    inputsClass = ApproximateEqual.Inputs.class
)
@Operator(
    group = "math"
)
public final class ApproximateEqual extends RawOp implements Operand<TBool> {
  /**
   * The name of this op, as known by TensorFlow core engine
   */
  public static final String OP_NAME = "ApproximateEqual";

  private Output<TBool> z;

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

  /**
   * Factory method to create a class wrapping a new ApproximateEqual operation.
   *
   * @param scope current scope
   * @param x The x value
   * @param y The y value
   * @param options carries optional attribute values
   * @param <T> data type for {@code ApproximateEqual} output and operands
   * @return a new instance of ApproximateEqual
   */
  @Endpoint(
      describeByClass = true
  )
  public static <T extends TType> ApproximateEqual create(Scope scope, Operand<T> x, Operand<T> y,
      Options... options) {
    OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "ApproximateEqual");
    opBuilder.addInput(x.asOutput());
    opBuilder.addInput(y.asOutput());
    if (options != null) {
      for (Options opts : options) {
        if (opts.tolerance != null) {
          opBuilder.setAttr("tolerance", opts.tolerance);
        }
      }
    }
    return new ApproximateEqual(opBuilder.build());
  }

  /**
   * Sets the tolerance option.
   *
   * @param tolerance the tolerance option
   * @return this Options instance.
   */
  public static Options tolerance(Float tolerance) {
    return new Options().tolerance(tolerance);
  }

  /**
   * Gets z.
   *
   * @return z.
   */
  public Output<TBool> z() {
    return z;
  }

  @Override
  public Output<TBool> asOutput() {
    return z;
  }

  /**
   * Optional attributes for {@link org.tensorflow.op.math.ApproximateEqual}
   */
  public static class Options {
    private Float tolerance;

    private Options() {
    }

    /**
     * Sets the tolerance option.
     *
     * @param tolerance the tolerance option
     * @return this Options instance.
     */
    public Options tolerance(Float tolerance) {
      this.tolerance = tolerance;
      return this;
    }
  }

  @OpInputsMetadata(
      outputsClass = ApproximateEqual.class
  )
  public static class Inputs<T extends TType> extends RawOpInputs<ApproximateEqual> {
    /**
     * The x input
     */
    public final Operand<T> x;

    /**
     * The y input
     */
    public final Operand<T> y;

    /**
     * The T attribute
     */
    public final DataType T;

    /**
     * The tolerance attribute
     */
    public final float tolerance;

    public Inputs(GraphOperation op) {
      super(new ApproximateEqual(op), op, Arrays.asList("T", "tolerance"));
      int inputIndex = 0;
      x = (Operand<T>) op.input(inputIndex++);
      y = (Operand<T>) op.input(inputIndex++);
      T = op.attributes().getAttrType("T");
      tolerance = op.attributes().getAttrFloat("tolerance");
    }
  }
}
