Fix 1-element in norm bug
This commit is contained in:
		| @@ -66,6 +66,15 @@ class SuperModule(abc.ABC, nn.Module): | ||||
|             container.append(name, buf, False) | ||||
|         return container | ||||
|  | ||||
|     def analyze_weights(self): | ||||
|         with torch.no_grad(): | ||||
|             for name, param in self.named_parameters(): | ||||
|                 shapestr = "[{:10s}] shape={:}".format(name, list(param.shape)) | ||||
|                 finalstr = shapestr + "{:.2f} +- {:.2f}".format( | ||||
|                     param.mean(), param.std() | ||||
|                 ) | ||||
|                 print(finalstr) | ||||
|  | ||||
|     @property | ||||
|     def abstract_search_space(self): | ||||
|         raise NotImplementedError | ||||
|   | ||||
		Reference in New Issue
	
	Block a user