PerGroup#

class torch.ao.quantization.observer.PerGroup(group_size)[source]#

Represents per-channel group granularity in quantization.

This granularity type calculates different quantization parameters for each group of <group_size> elements.

For example if the input tensor is shape [8, 16], and the group size is 4, then the input tensor is reshaped to [64, 4] quantization parameters are calculated for each group of 4 elements, giving a total of 64 quantization parameters.

Variables

group_size (int) – The size of each quantization group