com.intel.analytics.bigdl.nn.mkldnn.Identity.scala Maven / Gradle / Ivy
The newest version!
/*
* 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.mkldnn
import com.intel.analytics.bigdl.nn.abstractnn.{Activity, AbstractModule}
import com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric
import scala.reflect.ClassTag
/**
* Identity just return the input to output.
* It's useful in same parallel container to get an origin input.
*/
class Identity() extends MklDnnLayer {
override def updateOutput(input: Activity): Activity = {
output = input
output
}
override def updateGradInput(input: Activity, gradOutput: Activity): Activity = {
gradInput = gradOutput
gradInput
}
override private[mkldnn] def initFwdPrimitives(inputs: Array[MemoryData], phase: Phase) = {
_inputFormats = inputs
_outputFormats = inputs
(inputs, inputs)
}
override private[mkldnn] def initBwdPrimitives(grad: Array[MemoryData], phase: Phase) = {
_gradOutputFormats = grad
_gradOutputFormatsForWeight = grad
_gradInputFormats = grad
(grad, grad)
}
}
object Identity {
def apply[@specialized(Float, Double) T: ClassTag]()
(implicit ev: TensorNumeric[T]) : Identity = {
new Identity()
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy