## Description Current implementation of `NDArray.asnumpy()` method does not have the option to avoid the physical copy in the memory. Another framework of PyTorch has a similar method of `Tensor.numpy()`, which does the reference copy. That means PyTorch create a `numpy.array()` with the same memory of the `torch.Tensor`. We could similarly allow the reference copy option by setting an optional `copy` option in `NDArray.asnumpy(copy=False)` method.
@szha @eric-haibin-lin may have further suggestions [ Full content available at: https://github.com/apache/incubator-mxnet/issues/12699 ] This message was relayed via gitbox.apache.org for [email protected]
