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