/* Copyright 2020 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.
=======================================================================*/
package org.tensorflow.framework.activations;

import org.tensorflow.Operand;
import org.tensorflow.op.Ops;
import org.tensorflow.types.family.TNumber;

/**
 * Linear activation function (pass-through).
 *
 * <p>The linear activation returns its input. It is also known as the Identity activation function.
 *
 * <p>For example:
 *
 * <pre>
 *    Operand&lt;TFloat32&gt; input = tf.constant(
 *              new float[] {-3.0f,-1.0f, 0.0f,1.0f,3.0f});
 *    Linear&lt;TFloat32&gt; linear = new Linear&lt;&gt;(tf);
 *    Operand&lt;TFloat32&gt; result = linear.call(input);
 *    // result is [-3.0f,-1.0f, 0.0f,1.0f,3.0f]
 * </pre>
 */
public class Linear<U extends TNumber> extends AbstractActivation<U> {

  /** Creates a linear activation. */
  public Linear() {
    super();
  }

  /** {@inheritDoc} */
  @Override
  public Operand<U> call(Ops tf, Operand<U> input) {
    return input;
  }
}
