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| Vec | __add__ (Vec self, Vec arg0) |
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| Vec | __add__ (Vec self, Scalar arg0) |
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| Vec | __add__ (Vec self, float arg0) |
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| Vec | __iadd__ (Vec self, float arg0) |
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| Vec | __imul__ (Vec self, float arg0) |
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| None | __init__ (self) |
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| None | __init__ (self, torch.Tensor tensor, int dynamic_dim, int intmd_dim) |
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| None | __init__ (self, Vec other) |
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| None | __init__ (self, Rot other) |
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| None | __init__ (self, WR2 other) |
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| None | __init__ (self, R2 other) |
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| None | __init__ (self, SR2 other) |
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| None | __init__ (self, R3 other) |
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| None | __init__ (self, SFR3 other) |
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| None | __init__ (self, R4 other) |
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| None | __init__ (self, SFFR4 other) |
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| None | __init__ (self, WFFR4 other) |
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| None | __init__ (self, SSR4 other) |
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| None | __init__ (self, SWR4 other) |
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| None | __init__ (self, WSR4 other) |
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| None | __init__ (self, WWR4 other) |
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| None | __init__ (self, Quaternion other) |
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| None | __init__ (self, MillerIndex other) |
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| None | __init__ (self, Tensor other) |
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| None | __init__ (self, Scalar other) |
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| None | __init__ (self, torch.Tensor tensor, int intmd_dim=0) |
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| Vec | __isub__ (Vec self, float arg0) |
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| Vec | __itruediv__ (Vec self, float arg0) |
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| Vec | __mul__ (Vec self, Scalar arg0) |
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| Vec | __mul__ (Vec self, float arg0) |
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| Vec | __neg__ (Vec self) |
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| Vec | __pow__ (Vec self, float arg0) |
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| Vec | __radd__ (Vec self, Scalar arg0) |
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| Vec | __radd__ (Vec self, float arg0) |
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| str | __repr__ (Vec self) |
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| Vec | __rmul__ (Vec self, Scalar arg0) |
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| Vec | __rmul__ (Vec self, float arg0) |
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| Vec | __rsub__ (Vec self, Scalar arg0) |
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| Vec | __rsub__ (Vec self, float arg0) |
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| Vec | __rtruediv__ (Vec self, Scalar arg0) |
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| Vec | __rtruediv__ (Vec self, float arg0) |
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| str | __str__ (Vec self) |
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| Vec | __sub__ (Vec self, Vec arg0) |
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| Vec | __sub__ (Vec self, Scalar arg0) |
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| Vec | __sub__ (Vec self, float arg0) |
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| Vec | __truediv__ (Vec self, Scalar arg0) |
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| Vec | __truediv__ (Vec self, float arg0) |
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| Vec | clone (Vec self) |
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| Vec | contiguous (Vec self) |
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| torch.Tensor | copy_ (Vec self, torch.Tensor arg0, bool arg1) |
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| Vec | cross (Vec self, Vec arg0) |
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| bool | defined (Vec self) |
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| Vec | detach (Vec self) |
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| torch.Tensor | detach_ (Vec self) |
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| int | dim (Vec self) |
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| Number|torch.SymInt|torch.SymFloat|torch.SymBool | item (Vec self) |
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| Scalar | norm (Vec self) |
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| torch.Tensor | requires_grad_ (Vec self, bool arg0) |
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| Tensor | tensor (Vec self) |
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| Vec | to (Vec self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| torch.Tensor | torch (Vec self) |
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| torch.Tensor | zero_ (Vec 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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| VecDynamicView | dynamic (self) |
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| torch.Tensor | grad (self) |
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| VecIntmdView | intmd (self) |
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| bool | requires_grad (self) |
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| tuple[int,...] | shape (self) |
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| VecStaticView | static (self) |
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| Vec | dynamic_linspace (Vec start, Vec end, int step, int dim=0) |
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| Vec | dynamic_logspace (Vec start, Vec end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) |
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| Vec | empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | empty (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | empty_like (Vec arg0) |
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| Vec | full (float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | full (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | full_like (Vec other, float fill_value) |
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| Vec | intmd_linspace (Vec start, Vec end, int step, int dim=0) |
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| Vec | intmd_logspace (Vec start, Vec end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool 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,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | ones_like (Vec arg0) |
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| Vec | rand (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | rand (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | rand_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,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| Vec | zeros_like (Vec arg0) |
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