PerAxis# class torch.ao.quantization.observer.PerAxis(axis)[source]# Represents per-axis granularity in quantization. This granularity type calculates different quantization parameters along a specified axis of the tensor. For example if the input tensor is shape [8, 16] and axis=0, then the quantization parameters are calculated for each row of the tensor. Giving a total of 8 quantization parameters. Variables axis (int) – The axis along which reduction is performed.