title: AttributeError: 'list' object has no attribute 'dim' when predicting in pytorch
body: <p>I'm currently loading in a model and 11 input values. Then I'm sending those 11 values into a tensor and attempting to predict outputs. 
  Here is my code: </p>
  
  <pre><code># coding: utf-8
  
  # In[5]:
  
  
  import torch
  import torchvision
  from torchvision import transforms, datasets
  import torch.nn as nn
  import torch.nn.functional as F
  import torch.utils.data as utils
  import numpy as np
  
  data_np = np.loadtxt('input_preds.csv', delimiter=',')
  
  
  
  
  train_ds = utils.TensorDataset(torch.tensor(data_np, dtype=torch.float32).view(-1,11))
  
  trainset = torch.utils.data.DataLoader(train_ds, batch_size=1, shuffle=True)
  
  
  
  # setting device on GPU if available, else CPU, replace .cuda() with .to(device)
  device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
  
  class Net(nn.Module):
      def __init__(self):
          super().__init__()
          #self.bn = nn.BatchNorm2d(11)
          self.fc1 = nn.Linear(11, 22)
          self.fc2 = nn.Linear(22, 44)
          self.fc3 = nn.Linear(44, 22)
          self.fc4 = nn.Linear(22, 11)
  
      def forward(self, x):
          #x = x.view(-1, 11)
          x = F.relu(self.fc1(x))
          x = F.relu(self.fc2(x))
          x = F.relu(self.fc3(x))
          x = self.fc4(x)
          #return F.log_softmax(x, dim=1)
          return x
  model1 = torch.load('./1e-2')
  model2 = torch.load('./1e-3')
  
  for data in trainset:   
          X = data  
          X = X
  
          output = model1(X).to(device)
          print(output)
  </code></pre>
  
  <p>However, I get this error</p>
  
  <pre><code>Traceback (most recent call last):
    File "inference.py", line 53, in &lt;module&gt;
      output = model1(X).to(device)
    File "C:\Users\Happy\Miniconda3\envs\torch\lib\site-packages\torch\nn\modules\module.py", line 477, in __call__
      result = self.forward(*input, **kwargs)
    File "inference.py", line 40, in forward
      x = F.relu(self.fc1(x))
    File "C:\Users\Happy\Miniconda3\envs\torch\lib\site-packages\torch\nn\modules\module.py", line 477, in __call__
      result = self.forward(*input, **kwargs)
    File "C:\Users\Happy\Miniconda3\envs\torch\lib\site-packages\torch\nn\modules\linear.py", line 55, in forward
      return F.linear(input, self.weight, self.bias)
    File "C:\Users\Happy\Miniconda3\envs\torch\lib\site-packages\torch\nn\functional.py", line 1022, in linear
      if input.dim() == 2 and bias is not None:
  AttributeError: 'list' object has no attribute 'dim'
  </code></pre>
  
  <p>I've tried to convert the batch to a numpy array but that didn't help. How do I resolve this error? Thank you for your help.</p>