Initial Checks

• I have read and followed the docs and still think this is a bug

Description

when calling copy.deepcopy() over TorchTensor, it fails when tensor.dtype != torch.float32.
The problem is that TorchTensor.new_empty() will create a float32 tensor no matter what, regardless of self.dtype

Example Code

import torch
from docarray.typing.tensor.torch_tensor import TorchTensor
import copy

x = TorchTensor(torch.randn(2,3))
y = copy.deepcopy(x)    # this works

xx = TorchTensor(torch.randint(0,100,(2,3)))
yy = copy.deepcopy(xx)  # RuntimeError: Expected a Storage of type float or an UntypedStorage, but got type Long for argument 1 'storage'

Python, DocArray & OS Version

0.39.1

Affected Components

• Vector Database / Index
• Representing
• Sending
• storing
• multi modal data type