com.intel.analytics.bigdl.nn.Log.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.{AbstractModule, TensorModule}
import com.intel.analytics.bigdl.tensor.Tensor
import com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric
import scala.reflect.ClassTag
/**
* The [[Log]] module applies a log transformation to the input data
*/
@SerialVersionUID(- 5175095570714684226L)
class Log[T: ClassTag] (implicit ev: TensorNumeric[T])
extends TensorModule[T] {
override def updateOutput(input: Tensor[T]): Tensor[T] = {
output.resizeAs(input)
.copy(input)
.log()
output
}
override def updateGradInput(input: Tensor[T], gradOutput: Tensor[T]): Tensor[T] = {
gradInput.resizeAs(input)
.fill(ev.fromType[Double](1.0))
.cdiv(input)
.cmul(gradOutput)
gradInput
}
}
object Log {
def apply[@specialized(Float, Double) T: ClassTag]()
(implicit ev: TensorNumeric[T]): Log[T] = {
new Log[T]()
}
}