Casting Pytorch's tensor elements the type "float" instead of "double"
I had a matrix saved as a numpy type, call it &quot;X_before&quot; (for example, its shape is 100*30).
Since I want to feed it to an AutoEncoder using Pytorch library, I converted it to torch.tensor like this:
X_tensor = torch.from_numpy(X_before, dtype=torch)

Then, I got the following error:

expected scalar type Float but found Double


Next, I tried to make elements as &quot;float&quot; and then convert them torch.tensor:
X_before = X_before.astype(float)
X_tensor = torch.from_numpy(X_before)

Again, the same error happens.
How should I solve this issue? How can I convert the type of elements in a torch.tensor object to another type?
Thanks in advance

The easiest way:
X_tensor = torch.tensor(X_before, dtype=torch.float32)

You can see the list of types here:
https://pytorch.org/docs/stable/tensors.html
You can change the type:
X_tensor=X_tensor.type(torch.float64)

(Note that float64 is double, while float32 is the standardd float)
