pytorch clone() vs copy_()

clone() → Tensor

• 反向传播时，将会返回到原来的变量上
  Returns a copy of the self tensor. The copy has the same size and data type as self.
• NOTE
• Unlike copy_(), this function is recorded in the computation graph. Gradients propagating to the cloned tensor will propagate to the original tensor.

copy_(src, non_blocking=False) → Tensor

• 只是值得复制
  Copies the elements from src into self tensor and returns self.

• The src tensor must be broadcastable with the self tensor. It may be of a different data type or reside on a different device.