1. 1. 1. 🐛 Describe the bug

Similar to issue 47160(https://github.com/pytorch/pytorch/issues/47160) where `torch.tensor(a)` emits a warning when given a non-writeable NumPy array—even though it copies the data—`torch.utils.data.default_collate` also raises the same warning unnecessarily.

The warning:
```
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.
```

However, `default_collate` internally copies the NumPy array, so the resulting tensor does not alias the original read-only buffer. This means the warning is misleading and should not be triggered in this case.

1. 1. 1. To Reproduce
         ```
         import torch
         import numpy as np
         import warnings
         from torch.utils.data import default_collate

def test_copy():
a = np.arange(5.0)
print("old a:", a)
batch = [a]
b = default_collate(batch)
b[0][0] = 99

1. new a != new b -> default_collate copy the data
   print("new a:", a)
   print("new b:", b)

def test_bug():
a = np.arange(5.0)
a.flags.writeable = False

1. Create a batch containing the non-writeable numpy array
   batch = [a]

1. As default_collate copy the data, it should not raise the UserWarning
   _ = default_collate(batch)

if _name_ == "_main_":
test_copy()
test_bug()

```

1. Output
   ```
   old a: [0. 1. 2. 3. 4.]
   new a: [0. 1. 2. 3. 4.]
   new b: tensor([[99., 1., 2., 3., 4.]], dtype=torch.float64)
   /export/d2/secfuzz/anaconda3/lib/python3.11/site-packages/torch/utils/data/_utils/collate.py:285: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)
   return collate([torch.as_tensor(b) for b in batch], collate_fn_map=collate_fn_map)
   ```

1. 1. 1. Versions

PyTorch version: 2.7.0+cu126
Is debug build: False
CUDA used to build PyTorch: 12.6
ROCM used to build PyTorch: N/A

cc @andrewkho @divyanshk @VitalyFedyunin @dzhulgakov