com.intel.analytics.bigdl.utils.tf.loaders.Cast.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.ops.{Cast => CastOps}
import com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric
import com.intel.analytics.bigdl.utils.tf.Context
import org.tensorflow.framework.{DataType, NodeDef}
import scala.reflect.ClassTag
class Cast extends TensorflowOpsLoader {
import Utils._
override def build[T: ClassTag](nodeDef: NodeDef, byteOrder: ByteOrder
, context: Context[T])(implicit ev: TensorNumeric[T]): Module[T] = {
val attr = nodeDef.getAttrMap
val dataType = getType(attr, "DstT")
val layer = dataType match {
case DataType.DT_INT8 => CastOps[T, Int]()
case DataType.DT_INT16 => CastOps[T, Int]()
case DataType.DT_UINT8 => CastOps[T, Int]()
case DataType.DT_UINT16 => CastOps[T, Int]()
case DataType.DT_INT32 => CastOps[T, Int]()
case DataType.DT_INT64 => CastOps[T, Int]()
case DataType.DT_BOOL => CastOps[T, Boolean]()
case DataType.DT_STRING => CastOps[T, String]()
case DataType.DT_FLOAT => CastOps[T, Float]()
case DataType.DT_DOUBLE => CastOps[T, Double]()
}
layer
}
}