class text_CNN(nn.Module):
  def __init__(self):
    super(text_CNN, self).__init__()
    self.conv1 = nn.Conv1d(in_channels=1, out_channels=10, kernel_size=2)

  def forward(self, x):
    print(x.type())
    x = F.max_pool1d(F.relu(self.conv1(x)), 2)
    return x

model = text_CNN()
x = torch.randint(2, (16, 1, 22))
model(x)

Output:
torch.LongTensor
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-27-f0bfac495e81> in <module>()
     11 model = text_CNN()
     12 x = torch.randint(2, (16, 1, 22))
---> 13 model(x)

3 frames
/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
    725             result = self._slow_forward(*input, **kwargs)
    726         else:
--> 727             result = self.forward(*input, **kwargs)
    728         for hook in itertools.chain(
    729                 _global_forward_hooks.values(),

<ipython-input-27-f0bfac495e81> in forward(self, x)
      6   def forward(self, x):
      7     print(x.type())
----> 8     x = F.max_pool1d(F.relu(self.conv1(x)), 2)
      9     return x
     10 

/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
    725             result = self._slow_forward(*input, **kwargs)
    726         else:
--> 727             result = self.forward(*input, **kwargs)
    728         for hook in itertools.chain(
    729                 _global_forward_hooks.values(),

/usr/local/lib/python3.6/dist-packages/torch/nn/modules/conv.py in forward(self, input)
    257                             _single(0), self.dilation, self.groups)
    258         return F.conv1d(input, self.weight, self.bias, self.stride,
--> 259                         self.padding, self.dilation, self.groups)
    260 
    261 

RuntimeError: expected scalar type Long but found Float

However, when I change the type to a float:
x = torch.randint(2, (16, 1, 22), dtype=torch.float)

It works! Why is this?