Quantization Backend Configuration
FX Graph Mode Quantization allows the user to configure various
quantization behaviors of an op in order to match the expectation of
their backend.
In the future, this document will contain a detailed spec of these
configurations.
Default values for native configurations
Below is the output of the configuration for quantization of ops in
x86 and qnnpack (PyTorch's default quantized backends).
Results:
{
     'pattern': ,
     'dtype_configs': [
       {
         'input_dtype': DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=None, quant_max_upper_bound=None, scale_min_lower_bound=None, scale_max_upper_bound=None, scale_exact_match=None, zero_point_exact_match=None),