I get the following notification when I load my dataset into the DataLoader:

```
/pytorch/torch/csrc/utils/tensor_numpy.cpp:141: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program.
```

I get this error when I want to convert my labels from a numpy array to a tensor. I tried changing the flags but it doesn’t work. Also I tried to copy the array as proposed, but I still get the error. I also can’t change the writeable flag at all. I tried the following in code:

```
print(y.flags)
y.setflags(write=1)
print(y.flags)
y = y.copy()
print(y.flags)
y.setflags(write=1)
print(y.flags)
y = torch.as_tensor(y, dtype=torch.long)
```

I check the flags three times after each operation and it always returns:

```
C_CONTIGUOUS : True
F_CONTIGUOUS : True
OWNDATA : True
WRITEABLE : False
ALIGNED : True
WRITEBACKIFCOPY : False
UPDATEIFCOPY : False
```

Can someone help?