com.intel.analytics.bigdl.utils.tf.loaders.Reshape.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.utils.tf.loaders
import java.nio.ByteOrder
import com.intel.analytics.bigdl.Module
import com.intel.analytics.bigdl.nn.{Reshape => ReshapeOps}
import com.intel.analytics.bigdl.nn.abstractnn.{AbstractModule, Activity}
import com.intel.analytics.bigdl.tensor.Tensor
import com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric
import com.intel.analytics.bigdl.utils.tf.Context
import org.tensorflow.framework.NodeDef
import scala.reflect.ClassTag
class Reshape extends TensorflowOpsLoader {
override def build[T: ClassTag](nodeDef: NodeDef, byteOrder: ByteOrder,
context: Context[T])(implicit ev: TensorNumeric[T]): Module[T] = {
new ReshapeLoadTF[T]()
}
}
class ReshapeLoadTF[T: ClassTag]()(implicit ev: TensorNumeric[T]) extends Adapter[T](Array(2)) {
override def build(tensorArrays: Array[Tensor[_]]): AbstractModule[Activity, Activity, T] = {
val sizes = tensorArrays(0).asInstanceOf[Tensor[Int]]
val batchMode = if (sizes.nDimension() >= 1 && sizes.nElement() > 0) {
sizes.valueAt(1) == -1
} else {
false
}
val arraySize = new Array[Int](if (batchMode) sizes.nElement() - 1 else sizes.nElement())
var i = if (batchMode) 2 else 1
var k = 0
while(i <= sizes.nElement()) {
arraySize(k) = sizes.valueAt(i)
k += 1
i += 1
}
ReshapeOps[T](size = arraySize, Some(batchMode))
}
}