from ...functional.elemwise import _elemwise_multi_type
from ...tensor import Tensor
from ..qat import elemwise as QAT
from .module import QuantizedModule
class Elemwise(QuantizedModule):
def __init__(self, method, dtype=None, **kwargs):
super().__init__(**kwargs)
self.method = "q" + method
self.output_dtype = dtype
def forward(self, *inps):
if self.training:
raise ValueError("quantized module only support inference.")
return _elemwise_multi_type(*inps, mode=self.method, dtype=self.output_dtype)
@classmethod
def from_qat_module(cls, qat_module: QAT.Elemwise):
return cls(
qat_module.method, qat_module.get_activation_dtype(), name=qat_module.name
)