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RunTime Error from e = Variable(torch.Tensor())

See original GitHub issue

Sorry for my troubles, but why does using the e = Variable(torch.Tensor) raise RuntimeError: expected a Variable argument, but got FloatTensor in a recursive class implementation? I mean, e is already a Variable as defined on Line 77. The relevant call stack is

RuntimeError: expected a Variable argument, but got FloatTensor
> /home/robotec/catkin_ws/src/RAL2017/pyrnn/src/model.py(77)qp_layer()
     75             h = self.h.unsqueeze(0).expand(nBatch, nineq)
     76             e = Variable(torch.Tensor())
---> 77             x = QPFunction()(x, Q, p, G, h, e, e)
     78             return x
     79         self.qp_layer = qp_layer

Issue Analytics

State:
Created 6 years ago
Comments:8 (5 by maintainers)

Top GitHub Comments

1reaction

bamoscommented, Apr 6, 2017

Making everything Variables/Parameters should fix this issue (though let us know if not). Also something new we’ve added is that you don’t have to expand h or any other variable across the minibatch, QPFunction automatically detects that internally.

0reactions

bamoscommented, Apr 7, 2017

Great, glad things are working!

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