Open wanggaa opened 8 months ago
when use batch version matrix function,return answer is wrong
In [147]: rotvec = torch.randn(20,3)
In [148]: rots = SO3.InitFromVec(rotvec)
In [149]: rots.shape Out[149]: torch.Size([20])
In [150]: rots.vec()[-5] Out[150]: tensor([ 0.8872, -0.1591, -0.6459])
In [151]: rots[-5].vec() Out[151]: tensor([ 0.8872, -0.1591, -0.6459])
In [152]: rots.matrix()[-5] Out[152]: tensor([[1., 0., 0., 0.], [0., 1., 0., 0.], [0., 0., 1., 0.], [0., 0., 0., 1.]])
In [153]: rots[-5].matrix() Out[153]: tensor([[ 0.5612, 0.3888, -0.5711, 0.0000], [-0.7083, -0.2948, -0.6781, 0.0000], [-0.4283, -0.8729, -0.4626, 0.0000], [ 0.0000, 0.0000, 0.0000, 1.0000]])
when use batch version matrix function,return answer is wrong
In [147]: rotvec = torch.randn(20,3)
In [148]: rots = SO3.InitFromVec(rotvec)
In [149]: rots.shape Out[149]: torch.Size([20])
In [150]: rots.vec()[-5] Out[150]: tensor([ 0.8872, -0.1591, -0.6459])
In [151]: rots[-5].vec() Out[151]: tensor([ 0.8872, -0.1591, -0.6459])
In [152]: rots.matrix()[-5] Out[152]: tensor([[1., 0., 0., 0.], [0., 1., 0., 0.], [0., 0., 1., 0.], [0., 0., 0., 1.]])
In [153]: rots[-5].matrix() Out[153]: tensor([[ 0.5612, 0.3888, -0.5711, 0.0000], [-0.7083, -0.2948, -0.6781, 0.0000], [-0.4283, -0.8729, -0.4626, 0.0000], [ 0.0000, 0.0000, 0.0000, 1.0000]])