I meet a question?
/home/eini/anaconda3/lib/python3.6/site-packages/torch/optim/lr_scheduler.py:82: UserWarning: Detected call of lr_scheduler.step() before optimizer.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this will result in PyTorch skipping the first value of the learning rate schedule.See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
"https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning)
Traceback (most recent call last):
File "main.py", line 83, in
train(args, configs)
File "main.py", line 49, in train
trainer.train()
File "/home/eini/WZY/open-VehicleReID-master216/trainers/base.py", line 112, in train
self.evaluate(epoch, stats)
File "/home/eini/WZY/open-VehicleReID-master216/trainers/base.py", line 119, in evaluate
mAP, cmc = self.evaluator.evaluate()
File "/home/eini/WZY/open-VehicleReID-master216/evaluators/base.py", line 68, in evaluate
distmat = self.pairwise_distance(features)
File "/home/eini/WZY/open-VehicleReID-master216/evaluators/base.py", line 135, in pairwise_distance
dist = re_ranking(x, y, 20, 6, 0.3)
File "/home/eini/WZY/open-VehicleReID-master216/utils/re_ranking.py", line 55, in re_ranking
initial_rank = np.argsort(original_dist).astype(np.int32)
File "/home/eini/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 940, in argsort
return _wrapfunc(a, 'argsort', axis=axis, kind=kind, order=order)
File "/home/eini/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 52, in _wrapfunc
return getattr(obj, method)(*args, **kwds)
MemoryError
I meet a question?
/home/eini/anaconda3/lib/python3.6/site-packages/torch/optim/lr_scheduler.py:82: UserWarning: Detected call of
lr_scheduler.step()beforeoptimizer.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order:optimizer.step()beforelr_scheduler.step(). Failure to do this will result in PyTorch skipping the first value of the learning rate schedule.See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate"https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning)
Traceback (most recent call last):
File "main.py", line 83, in
train(args, configs)
File "main.py", line 49, in train
trainer.train()
File "/home/eini/WZY/open-VehicleReID-master216/trainers/base.py", line 112, in train
self.evaluate(epoch, stats)
File "/home/eini/WZY/open-VehicleReID-master216/trainers/base.py", line 119, in evaluate
mAP, cmc = self.evaluator.evaluate()
File "/home/eini/WZY/open-VehicleReID-master216/evaluators/base.py", line 68, in evaluate
distmat = self.pairwise_distance(features)
File "/home/eini/WZY/open-VehicleReID-master216/evaluators/base.py", line 135, in pairwise_distance
dist = re_ranking(x, y, 20, 6, 0.3)
File "/home/eini/WZY/open-VehicleReID-master216/utils/re_ranking.py", line 55, in re_ranking
initial_rank = np.argsort(original_dist).astype(np.int32)
File "/home/eini/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 940, in argsort
return _wrapfunc(a, 'argsort', axis=axis, kind=kind, order=order)
File "/home/eini/anaconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 52, in _wrapfunc
return getattr(obj, method)(*args, **kwds)
MemoryError