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Rot | __add__ (self, float arg0) |
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Rot | __add__ (self, Scalar arg0) |
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Rot | __add__ (self, Rot arg0) |
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Scalar | __call__ (self, int arg0) |
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None | __init__ (self) |
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None | __init__ (self, torch.Tensor arg0, int arg1) |
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None | __init__ (self, Rot arg0) |
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None | __init__ (self, torch.Tensor arg0) |
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None | __init__ (self, Vec arg0) |
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Rot | __mul__ (self, float arg0) |
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Rot | __mul__ (self, Scalar arg0) |
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Rot | __mul__ (self, Rot arg0) |
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Rot | __neg__ (self) |
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Rot | __pow__ (self, float arg0) |
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Rot | __pow__ (self, Scalar arg0) |
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Rot | __radd__ (self, float arg0) |
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str | __repr__ (self) |
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Rot | __rmul__ (self, float arg0) |
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Tensor | __rpow__ (self, float arg0) |
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Rot | __rsub__ (self, float arg0) |
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Rot | __rtruediv__ (self, float arg0) |
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str | __str__ (self) |
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Rot | __sub__ (self, float arg0) |
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Rot | __sub__ (self, Scalar arg0) |
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Rot | __sub__ (self, Rot arg0) |
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Rot | __truediv__ (self, float arg0) |
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Rot | __truediv__ (self, Scalar arg0) |
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Rot | __truediv__ (self, Rot arg0) |
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bool | batched (self) |
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Rot | clone (self) |
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torch.Tensor | copy_ (self, torch.Tensor arg0, bool arg1) |
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Rot | cross (self, Vec arg0) |
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Rot | cross (self, Rot arg0) |
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Rot | cross (self, WR2 arg0) |
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Scalar | dV (self) |
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bool | defined (self) |
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Rot | detach (self) |
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torch.Tensor | detach_ (self) |
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R3 | deuler_rodrigues (self) |
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int | dim (self) |
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Scalar | dist (self, Rot arg0) |
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Scalar | dot (self, Vec arg0) |
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Scalar | dot (self, Rot arg0) |
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Scalar | dot (self, WR2 arg0) |
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R2 | drotate (self, Rot arg0) |
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R2 | drotate (self, Rot arg0) |
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R2 | euler_rodrigues (self) |
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Rot | inverse (self) |
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Scalar | norm (self) |
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Scalar | norm_sq (self) |
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R2 | outer (self, Vec arg0) |
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R2 | outer (self, Rot arg0) |
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R2 | outer (self, WR2 arg0) |
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torch.Tensor | requires_grad_ (self, bool arg0) |
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Rot | rotate (self, Rot arg0) |
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Rot | rotate (self, Rot arg0) |
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Rot | shadow (self) |
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Tensor | tensor (self) |
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Rot | to (self, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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torch.Tensor | torch (self) |
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torch.Tensor | torch (self) |
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torch.Tensor | zero_ (self) |
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RotBaseView | base (self) |
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RotBatchView | batch (self) |
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torch.device | device (self) |
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torch.dtype | dtype (self) |
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torch.Tensor | grad (self) |
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bool | requires_grad (self) |
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tuple[int,...] | shape (self) |
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Rot | empty (*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Rot | empty (tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Rot | empty_like (Rot arg0) |
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Rot | fill (float x, float y, float z, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Rot | fill (Scalar x, Scalar y, Scalar z) |
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Rot | fill_euler_angles (torch.Tensor arg0, str arg1, str arg2) |
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Rot | fill_matrix (R2 arg0) |
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Rot | fill_random (int arg0, int arg1) |
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Rot | fill_rodrigues (Scalar arg0, Scalar arg1, Scalar arg2) |
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Rot | full (float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Rot | full (tuple[int,...] batch_shape, float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Rot | full_like (Rot arg0, float arg1) |
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Rot | identity (*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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R2 | identity_map (*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Rot | linspace (Rot start, Rot end, int nstep, int dim=0) |
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Rot | logspace (Rot start, Rot end, int nstep, int dim=0, float base=10.0) |
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Rot | ones (*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Rot | ones (tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Rot | ones_like (Rot arg0) |
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Rot | zeros (*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Rot | zeros (tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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Rot | zeros_like (Rot arg0) |
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