Replace torch.Tensor and fix handling of batched ineq. constraints in QPlayer #308
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fabinsch
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following #297, where we started to replace
torch.Tensor.The PyTorch doc says: torch.Tensor is an alias for the default tensor type (torch.FloatTensor).
For the rest of the tensors, we called either
.double()or setdtype=torch.64. This is necessary, as these tensors contain the QP data which is passed to the proxsuite c++ bindings inforwardandbackwardwhich are using the Scalar type double.