Simplify clip selection

Signed-off-by: Andrea Fasoli <[email protected]>

Author: andrea-fasoli

fms_mo/calib.py

@@ -90,10 +90,9 @@ def __call__(self, module, inputs: torch.Tensor):
                     x.reshape(1, -1).kthvalue(int(self.per[1] * nelem)).values.data[0]
                 )
                 if symmetric:
-                    upper_per_cur = (
-                        upper_per_cur_candidate
-                        if upper_per_cur_candidate > lower_per_cur_candidate.abs()
-                        else lower_per_cur_candidate.abs()
+                    upper_per_cur = max(
+                        upper_per_cur_candidate,
+                        lower_per_cur_candidate.abs(),
                     )
                     lower_per_cur = -upper_per_cur
                 else:

fms_mo/quant/quantizers.py

@@ -3574,11 +3574,7 @@ def forward(self, input_tensor):
                 )  # for very small tensor, lower_k could be 0, kthvalue(0) will cause error
 
                 if self.symmetric:
-                    cv_new = (
-                        cv_new_candidate
-                        if cv_new_candidate > cvn_new_candidate.abs()
-                        else cvn_new_candidate.abs()
-                    )
+                    cv_new = max(cv_new_candidate, cvn_new_candidate.abs())
                     cvn_new = -cv_new
                 else:
                     cv_new = cv_new_candidate