nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/attribute/TensorflowListAttributeValueLookupToIndex.kt
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package org.nd4j.samediff.frameworkimport.tensorflow.rule.attribute
import org.nd4j.ir.OpNamespace
import org.nd4j.samediff.frameworkimport.argDescriptorType
import org.nd4j.samediff.frameworkimport.findOp
import org.nd4j.samediff.frameworkimport.ir.IRAttribute
import org.nd4j.samediff.frameworkimport.isNd4jTensorName
import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
import org.nd4j.samediff.frameworkimport.process.MappingProcess
import org.nd4j.samediff.frameworkimport.rule.MappingRule
import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
import org.nd4j.samediff.frameworkimport.rule.attribute.ListAttributeValueLookupToIndex
import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRAttr
import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowAttributeName
import org.nd4j.samediff.frameworkimport.tensorflow.ir.isTensorflowTensorName
import org.nd4j.samediff.frameworkimport.tensorflow.ir.tensorflowAttributeValueTypeFor
import org.tensorflow.framework.*
@MappingRule("tensorflow","listattributevaluelookuptoindex","attribute")
class TensorflowListAttributeValueLookupToIndex(mappingNamesToPerform: Map<String, String>, transformerArgs: Map<String, List<OpNamespace.ArgDescriptor>>) : ListAttributeValueLookupToIndex<GraphDef, OpDef, NodeDef, OpDef.AttrDef, AttrValue, TensorProto, DataType>(mappingNamesToPerform, transformerArgs) {
override fun createIRAttribute(name: String, attrDef: OpDef.AttrDef, attributeValueType: AttrValue): IRAttribute<OpDef.AttrDef, AttrValue, TensorProto, DataType> {
return TensorflowIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
}
override fun convertAttributesReverse(allInputArguments: List<OpNamespace.ArgDescriptor>, inputArgumentsToProcess: List<OpNamespace.ArgDescriptor>): List<IRAttribute<OpDef.AttrDef, AttrValue, TensorProto, DataType>> {
TODO("Not yet implemented")
}
override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess<GraphDef, OpDef, NodeDef, TensorProto, OpDef.AttrDef, AttrValue, DataType>): Boolean {
val opDef = OpDescriptorLoaderHolder.listForFramework<OpDef>("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
return isTensorflowTensorName(name, opDef)
}
override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess<GraphDef, OpDef, NodeDef, TensorProto, OpDef.AttrDef, AttrValue, DataType>): Boolean {
val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
return isNd4jTensorName(name,nd4jOpDescriptor)
}
override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess<GraphDef, OpDef, NodeDef, TensorProto, OpDef.AttrDef, AttrValue, DataType>): Boolean {
val opDef = OpDescriptorLoaderHolder.listForFramework<OpDef>("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
return isTensorflowAttributeName(name, opDef)
}
override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess<GraphDef, OpDef, NodeDef, TensorProto, OpDef.AttrDef, AttrValue, DataType>): Boolean {
val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
}
override fun argDescriptorType(name: String, mappingProcess: MappingProcess<GraphDef, OpDef, NodeDef, TensorProto, OpDef.AttrDef, AttrValue, DataType>): OpNamespace.ArgDescriptor.ArgType {
val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
return argDescriptorType(name,nd4jOpDescriptor)
}
override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess<GraphDef, OpDef, NodeDef, TensorProto, OpDef.AttrDef, AttrValue, DataType>): AttributeValueType {
val opDef = OpDescriptorLoaderHolder.listForFramework<OpDef>("tensorflow")[mappingProcess.inputFrameworkOpName()]!!
return tensorflowAttributeValueTypeFor(attributeName = name, opDef = opDef)
}
}