Calling Forward Function Without .forward()
While looking at some pytorch code on pose estimation AlphaPose I noticed some unfamiliar syntax: Basically, we define a Darknet class which inherits nn.Module properties like so:
Solution 1:
This is nothing torch specific. When you call something as class_object(fn params)
it invokes the __call__
method of that class.
If you dig the code of torch, specifically nn.Module
you will see that __call__
internally invokes forward but taking care of hooks and states that pytorch allows. So when you are calling self.det_model(img, cuda)
you are still calling forward.
See the code for nn.module here.
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