在我的android应用中运行tensorflow模型时出现此致命错误:
Caused by: java.nio.BufferOverflowException
at java.nio.HeapFloatBuffer.put(HeapFloatBuffer.java:179)
at org.tensorflow.Tensor.writeTo(Tensor.java:488)
at org.tensorflow.contrib.android.TensorFlowInferenceInterface.fetch(TensorFlowInferenceInterface.java:488)
at org.tensorflow.contrib.android.TensorFlowInferenceInterface.fetch(TensorFlowInferenceInterface.java:442)
代码如下:
//sample values: WANTED_WIDTH = 714, WANTED_HEIGHT = 438
int[] intValues = new int[WANTED_WIDTH * WANTED_HEIGHT];
float[] floatValues = new float[WANTED_WIDTH * WANTED_HEIGHT * 3];
float[] outputValues = new float[WANTED_WIDTH * WANTED_HEIGHT * 3];
Bitmap bitmap = activity.mainBitmap;
Bitmap scaledBitmap = Bitmap.createScaledBitmap(bitmap, WANTED_WIDTH, WANTED_HEIGHT, true);
scaledBitmap.getPixels(intValues, 0, scaledBitmap.getWidth(), 0, 0, scaledBitmap.getWidth(), scaledBitmap.getHeight());
for (int i = 0; i < intValues.length; i++) {
final int val = intValues[i];
floatValues[i*3] = ((val >> 16) & 0xFF);
floatValues[i*3+1] = ((val >> 8) & 0xFF);
floatValues[i*3+2] = (val & 0xFF);
}
AssetManager assetManager = getResources().getAssets();
mInferenceInterface = new TensorFlowInferenceInterface(assetManager, MODEL_FILE);
final float[] styleVals = new float[NUM_STYLES];
for (int i = 0; i < NUM_STYLES; ++i) {
styleVals[i] = 0.0f / NUM_STYLES;
}
styleVals[params[0]] = 1.5f;
mInferenceInterface.feed(INPUT_NODE, floatValues, 1, WANTED_HEIGHT, WANTED_WIDTH, 3);
mInferenceInterface.feed("style_num", styleVals, NUM_STYLES);
mInferenceInterface.run(new String[] {OUTPUT_NODE}, false);
mInferenceInterface.fetch(OUTPUT_NODE, outputValues);
错误显示在我上面提供的代码的最后一行,即 “ mInferenceInterface.fetch(OUTPUT_NODE,outputValues);”
关于如何解决此问题的任何想法,我已经经历过Google搜索,但是在此特定问题上没有任何涉及。
谢谢!
答案 0 :(得分:0)
您需要验证OUTPUT_NODE的尺寸等于outputValues的尺寸吗?