I'm using the tensorflow tflite quantized model, mobilenet_v1_1.0_224_quant.tflite. from ` https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md `
I view it with Netron, which shows no relu6 nodes. It also shows no fused relu6 nodes in the node properties. So... if you are discussing some different model, I can't comment on it without further info how to repeat it. I dump the min and max parameters passed to the reference implementation of quantized conv, and they are all 0 and 255. I created a tf branch which automates this dump, ` https://github.com/jnorwood/tensorflow/tree/tflite_cmake ` It was last updated 14 days ago. there is a readme.md in ` https://github.com/jnorwood/tensorflow/blob/tflite_cmake/tensorflow/lite/README_CMAKE.md ` that shows how I built it using cmake and how to execute the command where I dumped the data, including the min and max parameters. I just ran it again and am attaching the screen capture, showing that all the min and max inputs are 0,255 for that inference model.  -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/dmlc/tvm/issues/2351#issuecomment-503197395
