Hey I have a question about
torch.ops.quantized.conv2d_unpack(self._packed_params)
Why returned weight in int8 and bias in fp32? How can i convert bias to fixed point?
Also i wanted to understand how torch.ops.quantized.conv2d_prepack this function is structured and what how packed_params is created.