from typing import Iterable
from ...tensor import Tensor
from .. import concat as Float
from .module import QATModule
[docs]class Concat(Float.Concat, QATModule):
r"""A :class:`~.QATModule` to do functional :func:`~.concat` with QAT support.
Could be applied with :class:`~.Observer` and :class:`~.quantization.fake_quant.FakeQuantize`.
"""
def forward(self, inps: Iterable[Tensor], axis: int = 0):
return self.apply_quant_activation(super().forward(inps, axis))
[docs] @classmethod
def from_float_module(cls, float_module):
return cls(name=float_module.name)