isclose and equal in PyTorch

*Memos:

• 
  isclose() can be used with can check if two of 0D or more D tensors have the same size and elements, getting the scalar of a boolean value as shown below:
  
  
  

  *Memos:

  
  
  
  
  
  • 
    equal() can be used with torch or a tensor.
  
  
  • The 1st argument(input) with torch or using a tensor(Required-Type:tensor of int, float, complex or bool).
  
  
  • The 2nd argument with torch or the 1st argument with a tensor is other(Required-Type:tensor of int, float, complex or bool).
    
  
  
  
  
  
  
  

  CODE Kopieren

  import torch
  
  
  
  tensor1 = torch.tensor([5, 9, 3])
  
  tensor2 = torch.tensor([5, 9, 3])
  
  
  
  torch.equal(input=tensor1, other=tensor2)
  
  tensor1.equal(other=tensor2)
  
  torch.equal(input=tensor2, other=tensor1)
  
  # True
  
  
  
  tensor1 = torch.tensor([5, 9, 3])
  
  tensor2 = torch.tensor([7, 9, 3])
  
  
  
  torch.equal(input=tensor1, other=tensor2)
  
  torch.equal(input=tensor2, other=tensor1)
  
  # False
  
  
  
  tensor1 = torch.tensor([5, 9, 3])
  
  tensor2 = torch.tensor([[5, 9, 3]])
  
  
  
  torch.equal(input=tensor1, other=tensor2)
  
  torch.equal(input=tensor2, other=tensor1)
  
  # False
  
  
  
  tensor1 = torch.tensor([5., 9., 3.])
  
  tensor2 = torch.tensor([5.+0.j, 9.+0.j, 3.+0.j])
  
  
  
  torch.equal(input=tensor1, other=tensor2)
  
  torch.equal(input=tensor2, other=tensor1)
  
  # True
  
  
  
  tensor1 = torch.tensor([1.+0.j, 0.+0.j, 1.+0.j])
  
  tensor2 = torch.tensor([True, False, True])
  
  
  
  torch.equal(input=tensor1, other=tensor2)
  
  torch.equal(input=tensor2, other=tensor1)
  
  # True
  
  
  
  tensor1 = torch.tensor([], dtype=torch.int64)
  
  tensor2 = torch.tensor([], dtype=torch.float32)
  
  
  
  torch.equal(input=tensor1, other=tensor2)
  
  torch.equal(input=tensor2, other=tensor1)
  
  # True
  
  

  
  
  
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