Traceback (most recent call last): File "/home/yjy/Documents/code/MATP-with-HEAT/it_all_train.py", line 171, in <module> train_loss_ep = train_a_model(train_net, num_ep=ep) File "/home/yjy/Documents/code/MATP-with-HEAT/it_all_train.py", line 37, in train_a_model fut_pred = model_to_tr(data.to(args['device'])) File "/home/yjy/anaconda3/envs/MATP/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/yjy/Documents/code/MATP-with-HEAT/it_heat_g_model.py", line 53, in forward fwd_Hist_Enc = self.RNN_Encoder(data_pyg.x, data_pyg.veh_mask, data_pyg.ped_mask) # Encode File "/home/yjy/Documents/code/MATP-with-HEAT/it_base_model.py", line 39, in RNN_Encoder _, veh_Hist_Enc = self.veh_enc_rnn(self.leaky_relu(self.ip_emb(Hist))) File "/home/yjy/anaconda3/envs/MATP/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/yjy/anaconda3/envs/MATP/lib/python3.7/site-packages/torch/nn/modules/linear.py", line 94, in forward return F.linear(input, self.weight, self.bias) File "/home/yjy/anaconda3/envs/MATP/lib/python3.7/site-packages/torch/nn/functional.py", line 1753, in linear return torch._C._nn.linear(input, weight, bias) RuntimeError: mat1 and mat2 shapes cannot be multiplied (2320x4 and 128x32)
时间: 2023-09-05 14:08:16 浏览: 56
这个错误是由于你的代码中进行了矩阵乘法操作,但是两个矩阵的维度不匹配。根据错误信息,第一个矩阵的大小是2320x4,而第二个矩阵的大小是128x32。矩阵乘法要求第一个矩阵的列数与第二个矩阵的行数相等。
要解决这个问题,你需要检查你的代码中涉及到矩阵乘法的部分,确保两个矩阵的维度是匹配的。你可以使用`torch.Size`或者`shape`属性来检查矩阵的维度,并且根据需要进行调整。
另外,你还可以使用一些其他的矩阵操作,如`torch.matmul()`或者`torch.mm()`来执行矩阵乘法操作,这些函数会自动进行维度匹配检查。
如果你需要更具体的帮助,请提供相关的代码片段和更多细节信息。
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Traceback ( most recent call last ) :File " C:/python/kfc.py " , line 8
Traceback (most recent call last): File "C:/python/kfc.py", line 8
这是Python中的错误追踪信息,通常在程序出现错误时会显示。它告诉我们在哪个文件的哪一行出现了错误。
具体来说,"Traceback (most recent call last)" 表示错误追踪的开始,它告诉我们下面的信息是最近一次调用的错误。
"File "C:/python/kfc.py", line 8" 表示错误发生在文件 "C:/python/kfc.py" 的第8行。
如果你想解决这个错误,可以打开 "C:/python/kfc.py" 文件,并检查第8行的代码,看看是否有语法错误或逻辑错误。
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To troubleshoot this issue, you can try the following steps:
1. Check the syntax of the DAG file and ensure that all required packages and modules are imported correctly.
2. Verify that the file is located in the correct directory and has the correct file permissions.
3. Restart the Airflow scheduler and webserver to see if the issue persists.
4. Check Airflow's log files for more detailed error messages that may provide additional insight into the issue.