com.intel.analytics.bigdl.utils.tf.loaders.ExpandDims.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.Unsqueeze
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 ExpandDims extends TensorflowOpsLoader {
import Utils._
override def build[T: ClassTag](nodeDef: NodeDef, byteOrder: ByteOrder,
context: Context[T])(implicit ev: TensorNumeric[T]): Module[T] = {
new ExpandDimsLoadTF[T]()
}
}
class ExpandDimsLoadTF[T: ClassTag]()(implicit ev: TensorNumeric[T]) extends Adapter[T](Array(2)) {
override def build(tensorArrays: Array[Tensor[_]]): AbstractModule[Activity, Activity, T] = {
val axis = tensorArrays(0).asInstanceOf[Tensor[Int]].value()
Unsqueeze[T](if (axis < 0) axis + 1 else axis + 1)
}
}