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Mnist.java
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Mnist.java
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import com.ibm.onnxmlir.OMModel;
import com.ibm.onnxmlir.OMTensor;
import com.ibm.onnxmlir.OMTensorList;
public class Mnist {
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public static void main(String[] args) {
// Create an input tensor list of 1 tensor.
// The first input is of tensor<1x1x28x28xf32>.
OMTensor tensor = new OMTensor(img_data, new long[]{1, 1, 28, 28});
OMTensor[] inputTensors = new OMTensor[]{ tensor };
// Create a tensor list
OMTensorList tensorListIn = new OMTensorList(inputTensors);
// Compute outputs.
OMTensorList tensorListOut = OMModel.mainGraph(tensorListIn);
// Extract the output. The model defines one output of type tensor<1x10xf32>.
OMTensor y = tensorListOut.getOmtByIndex(0);
float[] prediction = y.getFloatData();
// Analyze the output.
int digit = -1;
float prob = 0.f;
for (int i = 0; i < prediction.length; i++) {
System.out.println("prediction[" + i +"] = " + prediction[i]);
if (prediction[i] > prob) {
digit = i;
prob = prediction[i];
}
}
System.out.println("The digit is " + digit);
}
}