I don’t think this behavior is specific to transforms.ToTensor()
, but it seems that each valid object would return True
in this condition:
if nn.Linear(1, 1):
print('True')
if logging.Logger(name='test'):
print('True')
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Oh. Thank you so much.
Can I know why?
I think it’s used to check, if an object is initialized, e.g. if it’s optional such as a transformation.
You would often see Python code as:
def __init__(self, transform=None): # initialize transform as None
self.transform = transform
def __getitem__(self, x):
if self.transform:
x = self.transform(x)
and could use it with any other Python object as well.
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