no need to skip conv2d with small channel number with paddleslim 2.1

dygraph/paddlex/cv/models/base.py

@@ -427,12 +427,7 @@ class BaseModel:
         pre_pruning_flops = flops(self.net, self.pruner.inputs)
         logging.info("Pre-pruning FLOPs: {}. Pruning starts...".format(
             pre_pruning_flops))
-        skip_vars = []
-        for param in self.net.parameters():
-            if param.shape[0] <= 8:
-                skip_vars.append(param.name)
-        _, self.pruning_ratios = sensitive_prune(self.pruner, pruned_flops,
-                                                 skip_vars)
+        _, self.pruning_ratios = sensitive_prune(self.pruner, pruned_flops)
         post_pruning_flops = flops(self.net, self.pruner.inputs)
         logging.info("Pruning is complete. Post-pruning FLOPs: {}".format(
             post_pruning_flops))