Pytorch报错｜UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writ

完整错误如下：

/data/home/file_name/.conda/envs/cmr/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py:63: 
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. 
(Triggered internally at  /opt/conda/conda-bld/pytorch_1603729006826/work/torch/csrc/utils/tensor_numpy.cpp:141.)
  return default_collate([torch.as_tensor(b).copy() for b in batch])

翻译一下：

给定的NumPy数组不可写，PyTorch不支持不可写张量。
这意味着您可以使用张量写入底层（假定不可写）NumPy数组。
在将数组转换为张量之前，可能需要复制数组以保护其数据或使其可写。

解决办法：

根据

/data/home/file_name/.conda/envs/cmr/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py:63

找到第63行进行修改：

# 将
return default_collate([torch.as_tensor(b) for b in batch])
# 修改为
return default_collate([torch.as_tensor(b.copy()) for b in batch])

问题解决！