com.intel.analytics.bigdl.utils.serializer.converters.ShapeConverter.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.serializer.converters
import com.intel.analytics.bigdl.tensor.TensorNumericMath
import com.intel.analytics.bigdl.utils.serializer.{DeserializeContext, SerializeContext}
import com.intel.analytics.bigdl.utils.{MultiShape, SingleShape, Shape => BigDLShape}
import com.intel.analytics.bigdl.serialization.Bigdl
import com.intel.analytics.bigdl.serialization.Bigdl.Shape.ShapeType
import com.intel.analytics.bigdl.serialization.Bigdl.{AttrValue, BigDLModule, DataType, Shape}
import scala.collection.JavaConverters._
import scala.reflect.ClassTag
import scala.reflect.runtime.universe
object ShapeConverter extends DataConverter {
override def getAttributeValue[T: ClassTag]
(context: DeserializeContext, attribute: Bigdl.AttrValue)
(implicit ev: TensorNumericMath.TensorNumeric[T]): AnyRef = {
val shape = attribute.getShape
toBigDLShape(shape)
}
private def toBigDLShape(shape : Shape): BigDLShape = {
if (shape.getSsize == 0) {
// null is mapped to empty shape on the serialization stage.
return null
}
if (shape.getShapeType == ShapeType.SINGLE) {
val shapeValues = shape.getShapeValueList.asScala.toList.map(_.intValue)
SingleShape(shapeValues)
} else if (shape.getShapeType == ShapeType.MULTI) {
val shapes = shape.getShapeList.asScala.toList.map(toBigDLShape(_))
MultiShape(shapes)
} else {
throw new RuntimeException(s"${shape.getShapeType} not supported for now")
}
}
def shapeToBigDL[T: ClassTag](context: DeserializeContext,
model: BigDLModule, name: String)
(implicit ev: TensorNumericMath.TensorNumeric[T]): BigDLShape = {
val attrbute = AttrValue.newBuilder
attrbute.setShape(
name match {
case "input" => model.getInputShape
case "output" => model.getOutputShape
})
ShapeConverter.getAttributeValue(context, attrbute.build).asInstanceOf[BigDLShape]
}
def shapeToProto[T: ClassTag](context: SerializeContext[T], shape: BigDLShape)
(implicit ev: TensorNumericMath.TensorNumeric[T]): Shape = {
val attribute = AttrValue.newBuilder
ShapeConverter.setAttributeValue(context, attribute, shape,
universe.typeOf[BigDLShape])
attribute.getShape
}
override def setAttributeValue[T: ClassTag]
(context: SerializeContext[T], attributeBuilder: AttrValue.Builder,
value: Any, valueType: universe.Type)(implicit ev: TensorNumericMath.TensorNumeric[T]): Unit = {
attributeBuilder.setDataType(DataType.SHAPE)
if (value != null) {
val shape = value.asInstanceOf[BigDLShape]
val shapeBuilder = Shape.newBuilder
setShape(shape, shapeBuilder)
attributeBuilder.setShape(shapeBuilder.build)
}
}
private def setShape(bigdlShape : BigDLShape, shapeBuilder : Shape.Builder): Unit = {
if (bigdlShape.isInstanceOf[SingleShape]) {
shapeBuilder.setShapeType(ShapeType.SINGLE)
val shapes = bigdlShape.toSingle
shapeBuilder.setSsize(shapes.size)
shapes.foreach(shape => {
shapeBuilder.addShapeValue(shape)
})
} else if (bigdlShape.isInstanceOf[MultiShape]) {
shapeBuilder.setShapeType(ShapeType.MULTI)
val shapes = bigdlShape.toMulti
shapeBuilder.setSsize(shapes.size)
shapes.foreach(shape => {
val subShapeBuilder = Shape.newBuilder
setShape(shape, subShapeBuilder)
shapeBuilder.addShape(subShapeBuilder.build)
})
} else {
throw new RuntimeException(s"${bigdlShape} type not supported !")
}
}
}