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| Vec | __add__ (self, typing.SupportsFloat arg0) |
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| Vec | __add__ (self, Scalar arg0) |
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| Vec | __add__ (self, Vec arg0) |
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| Scalar | __call__ (self, typing.SupportsInt arg0) |
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| Vec | __iadd__ (self, typing.SupportsFloat arg0) |
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| Vec | __imul__ (self, typing.SupportsFloat arg0) |
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| None | __init__ (self) |
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| None | __init__ (self, torch.Tensor arg0, typing.SupportsInt arg1) |
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| None | __init__ (self, Vec arg0) |
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| None | __init__ (self, torch.Tensor arg0) |
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| None | __init__ (self, Rot arg0) |
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| Vec | __isub__ (self, typing.SupportsFloat arg0) |
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| Vec | __itruediv__ (self, typing.SupportsFloat arg0) |
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| Vec | __mul__ (self, typing.SupportsFloat arg0) |
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| Vec | __mul__ (self, Scalar arg0) |
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| Vec | __neg__ (self) |
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| Vec | __pow__ (self, typing.SupportsFloat arg0) |
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| Vec | __pow__ (self, Scalar arg0) |
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| Vec | __radd__ (self, typing.SupportsFloat arg0) |
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| str | __repr__ (self) |
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| Vec | __rmul__ (self, typing.SupportsFloat arg0) |
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| Tensor | __rpow__ (self, typing.SupportsFloat arg0) |
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| Vec | __rsub__ (self, typing.SupportsFloat arg0) |
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| Vec | __rtruediv__ (self, typing.SupportsFloat arg0) |
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| str | __str__ (self) |
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| Vec | __sub__ (self, typing.SupportsFloat arg0) |
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| Vec | __sub__ (self, Scalar arg0) |
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| Vec | __sub__ (self, Vec arg0) |
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| Vec | __truediv__ (self, typing.SupportsFloat arg0) |
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| Vec | __truediv__ (self, Scalar arg0) |
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| torch.Tensor | __truediv__ (self, Vec arg0) |
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| bool | batched (self) |
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| Vec | clone (self) |
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| torch.Tensor | copy_ (self, torch.Tensor arg0, bool arg1) |
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| Vec | cross (self, Vec arg0) |
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| bool | defined (self) |
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| Vec | detach (self) |
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| torch.Tensor | detach_ (self) |
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| int | dim (self) |
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| Scalar | dot (self, Vec arg0) |
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| R2 | drotate (self, Rot arg0) |
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| Number|torch.SymInt|torch.SymFloat|torch.SymBool | item (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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| torch.Tensor | requires_grad_ (self, bool arg0) |
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| Vec | rotate (self, Rot arg0) |
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| Tensor | tensor (self) |
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| Vec | 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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| Vec | transform (self, R2 arg0) |
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| torch.Tensor | zero_ (self) |
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| VecBaseView | base (self) |
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| VecBatchView | 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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| Vec | empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | empty (tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | empty_like (Vec arg0) |
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| Vec | fill (typing.SupportsFloat x, typing.SupportsFloat y, typing.SupportsFloat z, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | fill (Scalar x, Scalar y, Scalar z) |
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| Vec | full (typing.SupportsFloat fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | full (tuple[int,...] batch_shape, typing.SupportsFloat fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | full_like (Vec other, typing.SupportsFloat fill_value) |
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| R2 | identity_map (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | linspace (Vec start, Vec end, typing.SupportsInt nstep, typing.SupportsInt dim=0) |
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| Vec | logspace (Vec start, Vec end, typing.SupportsInt nstep, typing.SupportsInt dim=0, typing.SupportsFloat base=10.0) |
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| Vec | ones (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | ones (tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | ones_like (Vec arg0) |
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| Vec | zeros (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | zeros (tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | zeros_like (Vec arg0) |
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