deeplearning4j/deeplearning4j

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 *  * terms of the Apache License, Version 2.0 which is available at
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 *  *  information regarding copyright ownership.
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package org.nd4j.samediff.frameworkimport.onnx.rule.attribute

import onnx.Onnx
import org.nd4j.ir.OpNamespace
import org.nd4j.samediff.frameworkimport.findOp
import org.nd4j.samediff.frameworkimport.ir.IRAttribute
import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRAttr
import org.nd4j.samediff.frameworkimport.onnx.isOnnxAttributeName
import org.nd4j.samediff.frameworkimport.onnx.isOnnxTensorName
import org.nd4j.samediff.frameworkimport.onnx.onnxAttributeTypeFor
import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
import org.nd4j.samediff.frameworkimport.process.MappingProcess
import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeNDArrayToScalarAttribute
import org.nd4j.samediff.frameworkimport.rule.attribute.AttributeValueType
import org.nd4j.samediff.frameworkimport.isNd4jTensorName
import org.nd4j.samediff.frameworkimport.isOutputFrameworkAttributeName
import org.nd4j.samediff.frameworkimport.isNd4jTensorName
import org.nd4j.samediff.frameworkimport.argDescriptorType
import org.nd4j.samediff.frameworkimport.rule.MappingRule

@MappingRule("onnx","attributendarraytoscalarattribute","attribute")
class OnnxAttributeNDArrayToScalarAttribute(mappingNamesToPerform: Map<String, String>, transformerArgs: Map<String, List<OpNamespace.ArgDescriptor>>) : AttributeNDArrayToScalarAttribute<Onnx.GraphProto, Onnx.NodeProto, Onnx.NodeProto, Onnx.AttributeProto, Onnx.AttributeProto, Onnx.TensorProto, Onnx.TensorProto.DataType>(mappingNamesToPerform, transformerArgs) {

    override fun createIRAttribute(name: String, attrDef: Onnx.AttributeProto, attributeValueType: Onnx.AttributeProto): IRAttribute<Onnx.AttributeProto, Onnx.AttributeProto, Onnx.TensorProto, Onnx.TensorProto.DataType> {
        return OnnxIRAttr(inputAttributeValue = attributeValueType, inputAttributeDef = attrDef)
    }

    override fun convertAttributesReverse(allInputArguments: List<OpNamespace.ArgDescriptor>, inputArgumentsToProcess: List<OpNamespace.ArgDescriptor>): List<IRAttribute<Onnx.AttributeProto, Onnx.AttributeProto, Onnx.TensorProto, Onnx.TensorProto.DataType>> {
        TODO("Not yet implemented")
    }

    override fun isInputFrameworkTensorName(name: String, mappingProcess: MappingProcess<Onnx.GraphProto, Onnx.NodeProto, Onnx.NodeProto, Onnx.TensorProto, Onnx.AttributeProto, Onnx.AttributeProto, Onnx.TensorProto.DataType>): Boolean {
      val onnxOp = OpDescriptorLoaderHolder.listForFramework<Onnx.NodeProto>("onnx")[mappingProcess.inputFrameworkOpName()]!!

        return isOnnxTensorName(name, onnxOp)
    }

    override fun isNd4jTensorName(name: String, mappingProcess: MappingProcess<Onnx.GraphProto, Onnx.NodeProto, Onnx.NodeProto, Onnx.TensorProto, Onnx.AttributeProto, Onnx.AttributeProto, Onnx.TensorProto.DataType>): Boolean {
        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
        return isNd4jTensorName(name,nd4jOpDescriptor)
    }

    override fun isInputFrameworkAttributeName(name: String, mappingProcess: MappingProcess<Onnx.GraphProto, Onnx.NodeProto, Onnx.NodeProto, Onnx.TensorProto, Onnx.AttributeProto, Onnx.AttributeProto, Onnx.TensorProto.DataType>): Boolean {
      val onnxOp = OpDescriptorLoaderHolder.listForFramework<Onnx.NodeProto>("onnx")[mappingProcess.inputFrameworkOpName()]!!

        return isOnnxAttributeName(name, onnxOp)
    }

    override fun isOutputFrameworkAttributeName(name: String, mappingProcess: MappingProcess<Onnx.GraphProto, Onnx.NodeProto, Onnx.NodeProto, Onnx.TensorProto, Onnx.AttributeProto, Onnx.AttributeProto, Onnx.TensorProto.DataType>): Boolean {
        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
        return isOutputFrameworkAttributeName(name,nd4jOpDescriptor)
    }

    override fun argDescriptorType(name: String, mappingProcess: MappingProcess<Onnx.GraphProto, Onnx.NodeProto, Onnx.NodeProto, Onnx.TensorProto, Onnx.AttributeProto, Onnx.AttributeProto, Onnx.TensorProto.DataType>): OpNamespace.ArgDescriptor.ArgType {
        val nd4jOpDescriptor = OpDescriptorLoaderHolder.nd4jOpDescriptor.findOp(mappingProcess.opName())
        return argDescriptorType(name,nd4jOpDescriptor)
    }

    override fun attributeValueTypeFor(name: String, mappingProcess: MappingProcess<Onnx.GraphProto, Onnx.NodeProto, Onnx.NodeProto, Onnx.TensorProto, Onnx.AttributeProto, Onnx.AttributeProto, Onnx.TensorProto.DataType>): AttributeValueType {
      val onnxOp = OpDescriptorLoaderHolder.listForFramework<Onnx.NodeProto>("onnx")[mappingProcess.inputFrameworkOpName()]!!

        return onnxAttributeTypeFor(name, onnxOp)
    }
}