com.intel.analytics.bigdl.nn.L1Cost.scala Maven / Gradle / Ivy
/*
* Copyright 2016 The BigDL Authors.
*
* 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 com.intel.analytics.bigdl.nn
import com.intel.analytics.bigdl.nn.abstractnn.TensorCriterion
import com.intel.analytics.bigdl.tensor.Tensor
import com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric
import scala.reflect.ClassTag
/**
* compute L1 norm for input, and sign of input
*/
@SerialVersionUID(3544342765989460298L)
class L1Cost[@specialized(Float, Double) T: ClassTag]()
(implicit ev: TensorNumeric[T]) extends TensorCriterion[T] {
override def updateOutput(input: Tensor[T], target: Tensor[T]): T = {
input.norm(1)
}
override def updateGradInput(input: Tensor[T], target: Tensor[T]): Tensor[T] = {
input.clone.sign()
}
override def toString(): String = {
s"nn.L1Cost"
}
override def canEqual(other: Any): Boolean = other.isInstanceOf[L1Cost[T]]
override def equals(other: Any): Boolean = other match {
case that: L1Cost[T] =>
super.equals(that) &&
(that canEqual this)
case _ => false
}
override def hashCode(): Int = {
def getHashCode(a: Any): Int = if (a == null) 0 else a.hashCode()
val state = Seq(super.hashCode())
state.map(getHashCode).foldLeft(0)((a, b) => 31 * a + b)
}
}
object L1Cost {
def apply[@specialized(Float, Double) T: ClassTag]()
(implicit ev: TensorNumeric[T]) : L1Cost[T] = {
new L1Cost[T]()
}
}