from .. import batch_matmul_activation as Float
from .module import QATModule
[docs]class BatchMatMulActivation(Float.BatchMatMulActivation, QATModule):
r"""A :class:`~.QATModule` :class:`~.module.BatchMatMulActivation` with QAT support."""
def forward(self, inp):
w_qat = self.apply_quant_weight(self.weight)
b_qat = self.apply_quant_bias(self.bias, inp, w_qat)
return self.apply_quant_activation(self._calc_linear(inp, w_qat, b_qat))
[docs] @classmethod
def from_float_module(cls, float_module: Float.BatchMatMulActivation):
qat_module = cls(
float_module.batch,
float_module.in_features,
float_module.out_features,
float_module.bias is not None,
name=float_module.name,
)
qat_module.weight = float_module.weight
qat_module.bias = float_module.bias
return qat_module