com.intel.analytics.bigdl.nn.ops.Mod.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.tensor.Tensor
import com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric
import com.intel.analytics.bigdl.utils.Table
import scala.reflect.ClassTag
class Mod[T: ClassTag, D: ClassTag]()(implicit ev: TensorNumeric[T], ev2: TensorNumeric[D])
extends Operation[Table, Tensor[D], T]{
output = Tensor[D]()
private val buffer = Tensor[D]()
override def updateOutput(input: Table): Tensor[D] = {
val input1 = input[Tensor[D]](1)
val input2 = input[Tensor[D]](2)
output.resizeAs(input1).copy(input1)
buffer.resizeAs(output).copy(output)
buffer.div(input2).apply1(ev2.truncate(_)).cmul(input2)
output.sub(buffer)
}
override def clearState(): Mod.this.type = {
super.clearState()
buffer.set()
this
}
override def getClassTagNumerics() : (Array[ClassTag[_]], Array[TensorNumeric[_]]) = {
(Array[ClassTag[_]](scala.reflect.classTag[T], scala.reflect.classTag[D]),
Array[TensorNumeric[_]](ev, ev2))
}
}
object Mod {
def apply[T: ClassTag, D: ClassTag]()(implicit ev: TensorNumeric[T], ev2: TensorNumeric[D])
: Mod[T, D] = new Mod()
}