com.intel.analytics.bigdl.nn.ops.L2Loss.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.ops
import com.intel.analytics.bigdl.nn.abstractnn.Activity
import com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric
import com.intel.analytics.bigdl.tensor._
import scala.reflect.ClassTag
class L2Loss[T: ClassTag]()
(implicit ev: TensorNumeric[T]) extends Operation[Tensor[_], Tensor[_], T] {
var buffer: Tensor[_] = Tensor[Float]()
override def updateOutput(input: Tensor[_]): Tensor[_] = {
input.getType() match {
case FloatType =>
if (output.getType() != FloatType) {
output = Activity.allocate[Tensor[Float], Float]()
}
if (buffer.getType() != FloatType) {
buffer = Activity.allocate[Tensor[Float], Float]()
}
buffer.resizeAs(input)
output.resize(1)
output.asInstanceOf[Tensor[Float]].setValue(1,
buffer.asInstanceOf[Tensor[Float]].applyFun[Float](
input.asInstanceOf[Tensor[Float]], x => x * x).sum() / 2)
case DoubleType =>
if (output.getType() != DoubleType) {
output = Activity.allocate[Tensor[Double], Double]()
}
val a = buffer.getType()
if (buffer.getType() != DoubleType) {
buffer = Activity.allocate[Tensor[Double], Double]()
}
buffer.resizeAs(input)
output.resize(1)
output.asInstanceOf[Tensor[Double]].setValue(1,
buffer.asInstanceOf[Tensor[Double]].applyFun[Double](
input.asInstanceOf[Tensor[Double]], x => x * x).sum() / 2)
case _ => throw new RuntimeException("Unsupported tensor type")
}
output
}
}
object L2Loss {
def apply[T: ClassTag]()(implicit ev: TensorNumeric[T]):
Operation[Activity, Activity, T]
= ModuleToOperation[T](new L2Loss())
}