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Original file line number Diff line number Diff line change
Expand Up @@ -73,4 +73,13 @@ public enum DType {
DType(int jniCode) {
this.jniCode = jniCode;
}

public static DType fromJniCode(int jniCode) {
for (DType dtype : values()) {
if (dtype.jniCode == jniCode) {
return dtype;
}
}
throw new IllegalArgumentException("No DType found for jniCode " + jniCode);
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@

package org.pytorch.executorch;

import android.util.Log;
import com.facebook.jni.HybridData;
import com.facebook.jni.annotations.DoNotStrip;
import java.nio.Buffer;
Expand Down Expand Up @@ -630,6 +631,30 @@ public String toString() {
}
}

static class Tensor_unsupported extends Tensor {
private final ByteBuffer data;
private final DType mDtype;

private Tensor_unsupported(ByteBuffer data, long[] shape, DType dtype) {
super(shape);
this.data = data;
this.mDtype = dtype;
Log.e(
"ExecuTorch",
toString() + " in Java. Please consider re-export the model with proper return type");
}

@Override
public DType dtype() {
return mDtype;
}

@Override
public String toString() {
return String.format("Unsupported tensor(%s, dtype=%d)", Arrays.toString(shape), this.mDtype);
}
}

// region checks
private static void checkArgument(boolean expression, String errorMessage, Object... args) {
if (!expression) {
Expand Down Expand Up @@ -675,7 +700,7 @@ private static Tensor nativeNewTensor(
} else if (DType.INT8.jniCode == dtype) {
tensor = new Tensor_int8(data, shape);
} else {
throw new IllegalArgumentException("Unknown Tensor dtype");
tensor = new Tensor_unsupported(data, shape, DType.fromJniCode(dtype));
}
tensor.mHybridData = hybridData;
return tensor;
Expand Down
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