from abc import abstractmethod
from ..module import Module
from ..qat import QATModule
[docs]class QuantizedModule(Module):
r"""Base class of quantized :class:`~.Module`,
which should be converted from :class:`~.QATModule` and not support traning.
"""
def __call__(self, *inputs, **kwargs):
if self.training:
raise ValueError("quantized module only support inference.")
return super().__call__(*inputs, **kwargs)
def __repr__(self):
return "Quantized." + super().__repr__()
[docs] @classmethod
@abstractmethod
def from_qat_module(cls, qat_module: QATModule):
r"""
Return a :class:`~.QATModule` instance converted from
a float :class:`~.Module` instance.
"""