- 问题:
-
我正在使用最新的anaconda3在linux系统上使用Pytorch和fastai测试ResNet-34训练的_模型。为了将其作为批处理作业运行，我注释掉了与gui相关的行。它开始运行几个小时，然后在验证步骤中停止，错误消息如下。在
...
^M100%|█████████▉| 452/453 [1:07:07<00:08, 8.75s/it,
loss=1.23]^[[A^[[A^[[A
^MValidation: 0%| | 0/40 [00:00<?, ?it/s]^[[A^[[A^[[ATraceback
(most recent call last):
File "./resnet34_pretrained_PNG_nogui_2.py", line 279, in <module>
learner.fit(lr,1,callbacks=[f1_callback])
File "/project/6000192/jemmyhu/resnet_png/fastai/learner.py", line 302,
in fit
return self.fit_gen(self.model, self.data, layer_opt, n_cycle,
**kwargs)
File "/project/6000192/jemmyhu/resnet_png/fastai/learner.py", line 249,
in fit_gen
swa_eval_freq=swa_eval_freq, **kwargs)
File "/project/6000192/jemmyhu/resnet_png/fastai/model.py", line 162, in
fit
vals = validate(model_stepper, cur_data.val_dl, metrics, epoch,
seq_first=seq_first, validate_skip = validate_skip)
File "/project/6000192/jemmyhu/resnet_png/fastai/model.py", line 241, in
validate
res.append([to_np(f(datafy(preds), datafy(y))) for f in metrics])
File "/project/6000192/jemmyhu/resnet_png/fastai/model.py", line 241, in
<listcomp>
res.append([to_np(f(datafy(preds), datafy(y))) for f in metrics])
File "./resnet34_pretrained_PNG_nogui_2.py", line 237, in __call__
self.TP += (preds*targs).float().sum(dim=0)
TypeError: add(): argument 'other' (position 1) must be Tensor, not
numpy.ndarray原始代码的链接是https://www.kaggle.com/iafoss/pretrained-resnet34-with-rgby-0-460-public-lb在
我的副本中的第279行和第237行如下所示：
226 class F1:
227 __name__ = 'F1 macro'
228 def __init__(self,n=28):
229 self.n = n
230 self.TP = np.zeros(self.n)
231 self.FP = np.zeros(self.n)
232 self.FN = np.zeros(self.n)
233
234 def __call__(self,preds,targs,th=0.0):
235 preds = (preds > th).int()
236 targs = targs.int()
237 self.TP += (preds*targs).float().sum(dim=0)
238 self.FP += (preds > targs).float().sum(dim=0)
239 self.FN += (preds < targs).float().sum(dim=0)
240 score = (2.0*self.TP/(2.0*self.TP + self.FP + self.FN + 1e-6)).mean()
241 return score
276 lr = 0.5e-2
277 with warnings.catch_warnings():
278 warnings.simplefilter("ignore")
279 learner.fit(lr,1,callbacks=[f1_callback])有人知道这个问题的线索吗？在
非常感谢，
- 答案:
-
好的，错误似乎是针对最新的pytorch-1.0.0，当pytorch降级到pytorch-0.4.1时，代码似乎可以工作（此时传递了错误行）。仍然不知道如何让代码与pytorch-1.0.0一起工作
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