avoid init values as None

Signed-off-by: chichun-charlie-liu <[email protected]>

Author: chichun-charlie-liu

fms_mo/quant/quantizers.py

@@ -3907,7 +3907,7 @@ def forward(self, x: torch.Tensor):
         return x_dequant
 
     def init_quantization_scale(self, x: torch.Tensor, channel_wise: bool = False):
-        delta, zero_point = None, None
+        delta, zero_point = 1.0, 0  # init seems unnecessary, at least avoid None causing type chk err
         if channel_wise:
             x_clone = x.clone().detach()
             n_channels = x_clone.shape[0]