I get the following error with cell 7 **during grading only**, even thought the notebook works fine otherwise, and there is no error(or assertion error) when I am actually running the cell in notebook. Here is the error:

`Cell #7. Can't compile the student's code. Error: RuntimeError("Expected object of scalar type Long but got scalar type Float for sequence element 1 in sequence argument at position #1 'tensors'",)`

My code is:

```
UNQ_C2 (UNIQUE CELL IDENTIFIER, DO NOT EDIT)
GRADED FUNCTION: combine_vectors
def combine_vectors(x, y):
'''
Function for combining two vectors with shapes (n_samples, ?) and (n_samples, ?).
Parameters:
x: (n_samples, ?) the first vector.
In this assignment, this will be the noise vector of shape (n_samples, z_dim),
but you shouldn't need to know the second dimension's size.
y: (n_samples, ?) the second vector.
Once again, in this assignment this will be the one-hot class vector
with the shape (n_samples, n_classes), but you shouldn't assume this in your code.
'''
# Note: Make sure this function outputs a float no matter what inputs it receives
#### START CODE HERE ####
combined = torch.cat([x,y],dim=1).float()
#### END CODE HERE ####
return combined
```

If I do not type cast the **combined** tensor to float, I get assertion error in tester cell below this cell, that is why I type casted it to float.

I’d love any help!