Hi,
I am trying to run a tflite model (my own trained tflite model and not the mobilenet as in the tutorial) by referring to the tflite tutorial([https://tvm.apache.org/docs/tutorials/frontend/from_tflite.html](https://tvm.apache.org/docs/tutorials/frontend/from_tflite.html) on raspberry pi 3, 32 bit OS, with llvm 6 and python 3.7. I have just changed the image preprocessing part according to my requirement in the tutorial and the target for tvm(`tvm.target.arm_cpu("rasp3b")`). With tflite I was able to get 91% accuracy but with the tflite model compiled with tvm I am getting 62.3% accuracy. Any suggestion as to why this happened? Thanks! --- [Visit Topic](https://discuss.tvm.apache.org/t/very-low-accuracy-for-tflite-models-with-tvm-on-raspberry-pi/9603/1) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.apache.org/email/unsubscribe/79c760e66abe25a10df2cc3080c2df643e3d29e4a40c28caf3a7d1a2aa8a518a).
