deepcopy(result["old_state"]) 202 else: __init__.py https://gitlab.com/JigmeDatse/synapse | Python | 182 lines 138 # Signatures is a dict of dicts, and this is faster than doing a 139 # copy.deepcopy 140 signatures = { ...
# 需要导入模块: import copy [as 别名]# 或者: from copy importdeepcopy[as 别名]defmerge_dicts(child_dict, parent_dict):ifchild_dictisNone:returnparent_dictifparent_dictisNone:returnchild_dict effective_dict = {}try:# Probably should handle non-string keysuse_keys = filter(lambdax: ("!"+...
15000:elifexperiment==1:print("Deep copy")model_to_share=copy.deepcopy(model_to_share)# Experiment 2, hangs around 5000elifexperiment==2:print("Pickle")model_to_share=pickle.loads(pickle.dumps(model_to_share))# Experiment 3, hangs after 2 stepselifexperiment==3:print("State dict")model_...
() for i in range(space): xv = torch.tensor([i]).float() yv = torch.tensor([real_function(i)]).float() out = lf(xv) loss = mse_loss(out,yv) loss.backward() sd = copy.deepcopy(lf.state_dict(keep_vars=True)); print(sd["model.0.weight"].grad); quit() #returns none ...
mcs._fields = {}forname, fieldinmcs.__dict__.items():ifisinstance(field, BaseField): field.add_to_class(mcs, name)returnmcs 开发者ID:wechatpy,项目名称:wechatpy,代码行数:20,代码来源:messages.py 示例12: make_model ▲点赞 6▼
Hello, I am using a Pytorch model with skorch that uses nn.utils.weight_norm. When I try to do grid_search.fit(), it produces the error "RuntimeError: Only Tensors created explicitly by the user (graph leaves) support the deepcopy protoc...