FakeQuantize
class torch.quantization.fake_quantize.FakeQuantize(observer=, quant_min=None, quant_max=None, **observer_kwargs)
Simulate the quantize and dequantize operations in training time.
   The output of this module is given by:
  x_out = (
    clamp(round(x/scale + zero_point), quant_min, quant_max) - zero_point
  ) * scale



"scale" defines the scale factor used for quantization.


"zero_point" specifies the quantized value to which 0 in floating
     point maps to


"fake_quant_enabled" controls the application of fake
     quantization on tensors, note that statistics can still be
     updated.


"observer_enabled" controls statistics collection on tensors


"dtype" specifies the quantized dtype that is being emulated with
     fake-quantization,
        allowable values are torch.qint8 and torch.quint8.


Parameters: