def forward()

in quant/binary/weight_quantization.py [0:0]


    def forward(self, w: torch.Tensor) -> torch.Tensor:  # type: ignore
        """Forward pass of quantizing weight using least squares 1 bit."""
        if self.training:
            v1, w_q = quantization.quantizer_ls_1(w)
            self.v1.copy_(v1)  # type: ignore
        else:
            _, w_q = quantization.quantizer_ls_1(w, self.v1)  # type: ignore
        return w_q