equal(), eq() and ne() in PyTorch

equal() can check 2 tensors are the same:

*Memos:

• 
  equal() can be called both from torch and a tensor.


• The tensors can be 0D or more D tensors.
  

import torch

tensor1 = torch.tensor([5, 9, 0, 1])
tensor2 = torch.tensor([5, 9, 0, 1])
torch.equal(tensor1, tensor2)
tensor1.equal(tensor2)
torch.equal(tensor2, tensor1)
tensor2.equal(tensor1)
# True

tensor1 = torch.tensor([5, 9, 0, 1])
tensor2 = torch.tensor([5., 9+0j, False, True])
torch.equal(tensor1, tensor2)
tensor1.equal(tensor2)
torch.equal(tensor2, tensor1)
tensor2.equal(tensor1)
# True

tensor1 = torch.tensor([5, 9, 0, 1])
tensor2 = torch.tensor([7, 9, …

check equal import memos pytorch tensor torch true