nd4j/samediff-import/samediff-import-tensorflow/src/main/kotlin/org/nd4j/samediff/frameworkimport/tensorflow/rule/tensor/TensorflowMultiInputIndexMappingRule.kt
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package org.nd4j.samediff.frameworkimport.tensorflow.rule.tensor
import org.nd4j.ir.OpNamespace
import org.nd4j.ir.TensorNamespace
import org.nd4j.samediff.frameworkimport.findOp
import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
import org.nd4j.samediff.frameworkimport.rule.MappingRule
import org.nd4j.samediff.frameworkimport.rule.tensor.MultiInputIndexMappingRule
import org.nd4j.samediff.frameworkimport.tensorflow.ir.TensorflowIRTensor
import org.tensorflow.framework.*
@MappingRule("tensorflow","multiinputindex","tensor")
class TensorflowMultiInputIndexMappingRule(mappingNamesToPerform: MutableMap<String, String>,
transformerArgs: Map<String, List<OpNamespace.ArgDescriptor>> = emptyMap()):
MultiInputIndexMappingRule<GraphDef, OpDef, NodeDef, OpDef.AttrDef, AttrValue, TensorProto, DataType>(mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {
override fun createTensorProto(input: TensorProto): TensorNamespace.TensorProto {
return TensorflowIRTensor(input).toArgTensor()
}
override fun isInputTensorName(inputName: String): Boolean {
val tfOp = OpDescriptorLoaderHolder.listForFramework<OpDef>("tensorflow")[mappingProcess!!.inputFrameworkOpName()]!!
return tfOp.inputArgList.map { input -> input.name }.contains(inputName)
}
override fun isOutputTensorName(outputName: String): Boolean {
val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess!!.opName())
return nd4jOpDescriptor.argDescriptorList.filter { inputDescriptor -> inputDescriptor.argType == OpNamespace.ArgDescriptor.ArgType.INPUT_TENSOR }
.map {inputDescriptor -> inputDescriptor.name }.contains(outputName)
}
}