Cannot convert between a TensorFlowLite buffer with 786432 bytes and a ByteBuffer with 196608 bytes.

[TSKoduru]

I created a new TFlite model using another dataset that I had, but after replacing all the necessary files with the right ones (JSON, manifest, model.tflite, etc), I tried to run the app and ran into a problem. "Cannot convert between a TensorFlowLite buffer with 786432 bytes and a ByteBuffer with 196608 bytes." I've managed to figure out that this error is being caused by incorrect use of ByteBuffer (Since you need 4 bytes for a float, and the tflite model uses floats, you actually need 19660 * 4 = 786432 byes). More information can be found on this thread: amitshekhariitbhu/Android-TensorFlow-Lite-Example#6.

How exactly would I go about resolving this issue? Any help would be appreciated. Thanks!