TypeError: function takes exactly 5 arguments (1 given)

[zhuliqian]

pytorch1.01 python3.6

python train.py --adadelta --trainRoot /home/chase/crnn.pytorch-master/tool/tool/ --valRoot /home/chase/crnn.pytorch-master/tool/tool/ --cuda --random_sample Namespace(adadelta=True, adam=False, alphabet='0123456789abcdefghijklmnopqrstuvwxyz', batchSize=64, beta1=0.5, cuda=True, displayInterval=500, expr_dir='expr', imgH=32, imgW=100, keep_ratio=False, lr=0.01, manualSeed=1234, n_test_disp=10, nepoch=25, ngpu=1, nh=256, pretrained='', random_sample=True, saveInterval=500, trainRoot='/home/chase/crnn.pytorch-master/tool/tool/', valInterval=500, valRoot='/home/chase/crnn.pytorch-master/tool/tool/', workers=2) CRNN( (cnn): Sequential( (conv0): Conv2d(1, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (relu0): ReLU(inplace) (pooling0): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (relu1): ReLU(inplace) (pooling1): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (conv2): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (batchnorm2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu2): ReLU(inplace) (conv3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (relu3): ReLU(inplace) (pooling2): MaxPool2d(kernel_size=(2, 2), stride=(2, 1), padding=(0, 1), dilation=1, ceil_mode=False) (conv4): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (batchnorm4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu4): ReLU(inplace) (conv5): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (relu5): ReLU(inplace) (pooling3): MaxPool2d(kernel_size=(2, 2), stride=(2, 1), padding=(0, 1), dilation=1, ceil_mode=False) (conv6): Conv2d(512, 512, kernel_size=(2, 2), stride=(1, 1)) (batchnorm6): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu6): ReLU(inplace) ) (rnn): Sequential( (0): BidirectionalLSTM( (rnn): LSTM(512, 256, bidirectional=True) (embedding): Linear(in_features=512, out_features=256, bias=True) ) (1): BidirectionalLSTM( (rnn): LSTM(256, 256, bidirectional=True) (embedding): Linear(in_features=512, out_features=37, bias=True) ) ) ) Traceback (most recent call last): File "train.py", line 198, in cost = trainBatch(crnn, criterion, optimizer) File "train.py", line 173, in trainBatch data = train_iter.next() File "/home/chase/anaconda3/envs/maskrcnn_benchmark1/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 637, in next return self._process_next_batch(batch) File "/home/chase/anaconda3/envs/maskrcnn_benchmark1/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 658, in _process_next_batch raise batch.exc_type(batch.exc_msg) TypeError: function takes exactly 5 arguments (1 given)

[blair2020]

一模一样的错误，请问楼主解决了吗，我觉得可能是lmdb，我就改了这个就报这个错误

[blair2020]

我解决了，线程数改为0