["python","pytorch"]
Convert PyTorch tensor to python list

How do I convert a PyTorch Tensor into a python list? I want to convert a tensor of size [1, 2048, 1, 1] into a list of 2048 elements. My tensor has floating point values. Is there a solution which also works with other data types such as int?
Use Tensor.tolist() e.g: >>> import torch >>> a = torch.randn(2, 2) >>> a.tolist() [[0.012766935862600803, 0.5415473580360413], [-0.08909505605697632, 0.7729271650314331]] >>> a[0,0].tolist() 0.012766935862600803 To remove all dimensions of size 1, use a.squeeze().tolist(). Alternatively, if all but one dimension are of size 1 (or you wish to get a list of every element of the tensor) you may use a.flatten().tolist().