deeplearning4j/deeplearning4j

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 *  * This program and the accompanying materials are made available under the
 *  * terms of the Apache License, Version 2.0 which is available at
 *  * https://www.apache.org/licenses/LICENSE-2.0.
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 *  *  information regarding copyright ownership.
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 *  * under the License.
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package org.nd4j.samediff.frameworkimport.onnx.rule.tensor

import onnx.Onnx
import org.nd4j.ir.OpNamespace
import org.nd4j.ir.TensorNamespace
import org.nd4j.samediff.frameworkimport.findOp
import org.nd4j.samediff.frameworkimport.onnx.ir.OnnxIRTensor
import org.nd4j.samediff.frameworkimport.opdefs.OpDescriptorLoaderHolder
import org.nd4j.samediff.frameworkimport.rule.MappingRule
import org.nd4j.samediff.frameworkimport.rule.tensor.BaseNDArrayMappingRule
import java.lang.IllegalArgumentException

@MappingRule("onnx","ndarraymapping","tensor")
class NDArrayMappingRule(mappingNamesToPerform: MutableMap<String,String>,
                         transformerArgs: Map<String, List<OpNamespace.ArgDescriptor>> = emptyMap()):
    BaseNDArrayMappingRule<Onnx.GraphProto, Onnx.NodeProto, Onnx.NodeProto, Onnx.AttributeProto, Onnx.AttributeProto,
            Onnx.TensorProto, Onnx.TensorProto.DataType>(mappingNamesToPerform = mappingNamesToPerform, transformerArgs = transformerArgs) {



    override fun createTensorProto(input: Onnx.TensorProto): TensorNamespace.TensorProto {
        return OnnxIRTensor(input).toArgTensor()
    }

    override fun isInputTensorName(inputName: String): Boolean {
        val onnxOp = OpDescriptorLoaderHolder.listForFramework<Onnx.NodeProto>("onnx")
        if(!onnxOp.containsKey(mappingProcess!!.inputFrameworkOpName())) {
            throw IllegalArgumentException("No op definition found for ${mappingProcess!!.inputFrameworkOpName()}")
        }

        val ret = onnxOp[mappingProcess!!.inputFrameworkOpName()]!!
        return ret.inputList.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)
    }
}