I need some help! Expected 2D (unbatched) or 3D (batched) input to conv1d

Question

I need some help! Expected 2D (unbatched) or 3D (batched) input to conv1d

StevDL-gif opened this issue 2 years ago · comments

Traceback (most recent call last):
File "C:\Users\Administrator\Desktop\Graph-WaveNet-master\train.py", line 177, in
main()
File "C:\Users\Administrator\Desktop\Graph-WaveNet-master\train.py", line 87, in main
metrics = engine.train(trainx, trainy[:,0,:,:])
File "C:\Users\Administrator\Desktop\Graph-WaveNet-master\engine.py", line 17, in train
output = self.model(input)
File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Users\Administrator\Desktop\Graph-WaveNet-master\model.py", line 175, in forward
gate = self.gate_convsi
File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch\nn\modules\conv.py", line 307, in forward
return self._conv_forward(input, self.weight, self.bias)
File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch\nn\modules\conv.py", line 303, in _conv_forward
return F.conv1d(input, weight, bias, self.stride,

RuntimeError: Expected 2D (unbatched) or 3D (batched) input to conv1d, but got input of size: [64, 32, 207, 13]

Process finished with exit code 1

Shane Konopelski · Answer 1 · Tue Sep 13 2022 15:24:33 GMT+0800 (China Standard Time)

maybe you have met the same problem with this code issues.
matthias-k/DeepGaze#3
in brief, your torch version>1.11

Darius-XT · Answer 2 · Mon Feb 13 2023 22:09:27 GMT+0800 (China Standard Time)

have you solve this problem？I‘ve got the same problem as you TT

Ethan Liang · Answer 3 · Mon Feb 13 2023 22:22:54 GMT+0800 (China Standard Time)

Same problem

StevDL-gif · Answer 4 · Tue Feb 21 2023 14:52:30 GMT+0800 (China Standard Time)

have you solve this problem？I‘ve got the same problem as you TT

Change the python environment to 3.6 and it can run

Tingthe · Answer 5 · Sat Apr 01 2023 22:37:23 GMT+0800 (China Standard Time)

if the torch version>1.11, how can we solve this problem? Who can help me ? Thanks!

StevDL-gif · Answer 6 · Sat Apr 01 2023 22:51:37 GMT+0800 (China Standard Time)

if the torch version>1.11, how can we solve this problem? Who can help me ? Thanks!

I didn't fix the problem directly from the code change, I downloaded the python 3.6 version from anaconda and configured it, and the problem was solved

Tingthe · Answer 7 · Sun Apr 02 2023 08:25:13 GMT+0800 (China Standard Time)

if the torch version>1.11, how can we solve this problem? Who can help me ? Thanks!

I didn't fix the problem directly from the code change, I downloaded the python 3.6 version from anaconda and configured it, and the problem was solved

Ok,thanks.

HanWu-Ashley · Answer 8 · Tue Apr 11 2023 11:18:32 GMT+0800 (China Standard Time)

I changed python version to 3.6, torch version to 1.10.2 and it fixed.

mzshuo · Answer 9 · Mon Nov 13 2023 12:27:34 GMT+0800 (China Standard Time)

You can just replace self.gate_convs.append(nn.Conv1d(...)) with self.gate_convs.append(nn.Conv2d(...)) I think.
They should perform the same computation when passing a 2-dimension kernel.
Here is the explanation. #14 (comment)

yameima · Answer 10 · Wed Mar 20 2024 14:29:09 GMT+0800 (China Standard Time)

I need some help! I changed python version to 3.6, torch version to 1.10.2, but the problem has always existed.
Namespace(device='cpu:3', data='data/METR-LA', adjdata='data/sensor_graph/adj_mx.pkl', adjtype='doubletransition', gcn_bool=True, aptonly=False, addaptadj=True, randomadj=True, seq_len
gth=12, nhid=32, in_dim=2, num_nodes=207, batch_size=64, learning_rate=0.001, dropout=0.3, weight_decay=0.0001, epochs=10, print_every=50, save='./garage/metr', expid=1)
start training...
Traceback (most recent call last):
File "H:\desktop\software\Python Documents\STGCN\train.py", line 198, in
main()
File "H:\desktop\software\Python Documents\STGCN\train.py", line 102, in main
metrics = engine.train(trainx, trainy[:,0,:,:])
File "H:\desktop\software\Python Documents\STGCN\engine.py", line 17, in train
output = self.model(input)
File "C:\Users\dell\AppData\Roaming\Python\Python39\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\dell\AppData\Roaming\Python\Python39\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "H:\desktop\software\Python Documents\STGCN\model.py", line 186, in forward
gate = self.gate_convsi
File "C:\Users\dell\AppData\Roaming\Python\Python39\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\dell\AppData\Roaming\Python\Python39\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\dell\AppData\Roaming\Python\Python39\site-packages\torch\nn\modules\conv.py", line 310, in forward
return self._conv_forward(input, self.weight, self.bias)
File "C:\Users\dell\AppData\Roaming\Python\Python39\site-packages\torch\nn\modules\conv.py", line 306, in _conv_forward
return F.conv1d(input, weight, bias, self.stride,
RuntimeError: Expected 2D (unbatched) or 3D (batched) input to conv1d, but got input of size: [64, 32, 207, 13]

Cao jiayi · Answer 11 · Tue May 28 2024 09:10:20 GMT+0800 (China Standard Time)

我也遇到了相同的问题

amazon-kddcup24 · Answer 12 · Wed Jul 17 2024 22:07:59 GMT+0800 (China Standard Time)

Changing all conv1d to conv2d will solve this issue.