nd4j/samediff-import/samediff-import-onnx/src/main/kotlin/org/nd4j/samediff/frameworkimport/onnx/ir/OnnxIRGraphRunner.kt
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package org.nd4j.samediff.frameworkimport.onnx.ir
import onnx.Onnx
import org.apache.commons.io.FileUtils
import org.nd4j.autodiff.samediff.config.SDValue
import org.nd4j.linalg.api.ndarray.INDArray
import org.nd4j.onnxruntime.runner.OnnxRuntimeRunner
import org.nd4j.samediff.frameworkimport.ir.IRGraph
import org.nd4j.samediff.frameworkimport.onnx.*
import org.nd4j.samediff.frameworkimport.runner.IRGraphRunner
import java.io.File
class OnnxIRGraphRunner(graphDef: OnnxIRGraph, inputNames: List<String>, outputNames: List<String>,opSet: Long = 13L,irVersion: Long = 7L): IRGraphRunner<
Onnx.GraphProto,
Onnx.NodeProto,
Onnx.NodeProto,
Onnx.TensorProto, Onnx.AttributeProto, Onnx.AttributeProto, Onnx.TensorProto.DataType> {
val graphDef = graphDef
val inputNames = inputNames
val outputNames = outputNames
val graphRunner: OnnxRuntimeRunner
init {
val tempFile = File("tempFile.onnx")
//onnx runtime doesn't allow any outputs that aren't defined
//already in the model, we need to dynamically modify the model at runtime
//to allow things like intermediate results
val modelProto = prepareGraphForExecAndExport(graphDef.graphDef,outputNames,opSet,irVersion)
FileUtils.writeByteArrayToFile(tempFile, modelProto.toByteArray())
graphRunner = OnnxRuntimeRunner.builder()
.modelUri(tempFile.absolutePath)
.build()
tempFile.deleteOnExit()
}
override fun graph(): IRGraph<Onnx.GraphProto, Onnx.NodeProto, Onnx.NodeProto, Onnx.TensorProto, Onnx.AttributeProto, Onnx.AttributeProto, Onnx.TensorProto.DataType> {
return graphDef
}
override fun run(inputs: Map<String, INDArray>): Map<String, INDArray> {
return graphRunner.exec(inputs)
}
override fun runSequence(inputs: Map<String, SDValue>): Map<String, SDValue> {
return graphRunner.execValues(inputs)
}
}