nowgood / quantizecnnmodel Goto Github PK

Hello, thanks for your excellent work, and this project is beneficial to me.

However, I found that the quantization method in this project is somewhat different from that mentioned in the paper.

In the paper, the quantization function is:

Weights are quantized using:

which I think may be a mistake in the paper.

Activations are quantized using:

In this project, weights are quantized using:

Activations are quantized using: which I think may be a mistake.

In fact, according to quantize_module_.py, weights and activations are quantized using gemm method(an asymmetric uniform quantization method)

Is there any comparison between the two methods?

Best wishes.

After starting the training, my terminal stays on this interface. Is this the beginning of training? Is there still something wrong?thanks