Is your feature request related to a problem? Please describe.
When a MetaTensor is printed with print it produces its metadata information in addition to what a tensor would normally print. This is usually too verbose for just printing to screen, and differs from default behaviour from Pytorch. The design intent was to not require users to have to deal with MetaTensors, it's meant to be opt-in, but this change has a visible difference the unexpecting user would have to dig into to solve.

Describe the solution you'd like
Add a __str__ method to MetaTensor to preserve the printing behaviour of regular tensors but leave __repr__ for those wanting larger outputs. This can be prototyped with:

class MetaTensor1(monai.data.MetaTensor):
    def __str__(self):
        return str(self.as_tensor())
    
t=torch.rand(10)
print(t.min())  # expected
print(monai.data.MetaTensor(t).min())  # too verbose
print(MetaTensor1(t).min())  # as expected

Describe alternatives you've considered
The alternative to get default behaviour is print(t.as_tensor()) but that is now forcing users to opt-in to MetaTensor and makes code non-portable, ie. won't work with regular Pytorch tensors if used somewhere without MONAI

Additional context
This comment summarises usage of __str__ and __repr__. I think this approach makes __str__ readable and leaves __repr__ unambiguous as it is now.