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| R3 | __add__ (R3 self, R3 arg0) |
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| R3 | __add__ (R3 self, Scalar arg0) |
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| R3 | __add__ (R3 self, float arg0) |
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| R3 | __iadd__ (R3 self, float arg0) |
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| R3 | __imul__ (R3 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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| R3 | __isub__ (R3 self, float arg0) |
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| R3 | __itruediv__ (R3 self, float arg0) |
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| R3 | __mul__ (R3 self, Scalar arg0) |
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| R3 | __mul__ (R3 self, float arg0) |
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| R3 | __neg__ (R3 self) |
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| R3 | __pow__ (R3 self, float arg0) |
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| R3 | __radd__ (R3 self, Scalar arg0) |
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| R3 | __radd__ (R3 self, float arg0) |
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| str | __repr__ (R3 self) |
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| R3 | __rmul__ (R3 self, Scalar arg0) |
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| R3 | __rmul__ (R3 self, float arg0) |
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| R3 | __rsub__ (R3 self, Scalar arg0) |
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| R3 | __rsub__ (R3 self, float arg0) |
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| R3 | __rtruediv__ (R3 self, Scalar arg0) |
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| R3 | __rtruediv__ (R3 self, float arg0) |
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| str | __str__ (R3 self) |
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| R3 | __sub__ (R3 self, R3 arg0) |
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| R3 | __sub__ (R3 self, Scalar arg0) |
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| R3 | __sub__ (R3 self, float arg0) |
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| R3 | __truediv__ (R3 self, Scalar arg0) |
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| R3 | __truediv__ (R3 self, float arg0) |
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| R3 | clone (R3 self) |
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| R3 | contiguous (R3 self) |
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| torch.Tensor | copy_ (R3 self, torch.Tensor arg0, bool arg1) |
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| bool | defined (R3 self) |
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| R3 | detach (R3 self) |
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| torch.Tensor | detach_ (R3 self) |
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| int | dim (R3 self) |
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| Number|torch.SymInt|torch.SymFloat|torch.SymBool | item (R3 self) |
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| Scalar | norm (R3 self) |
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| torch.Tensor | requires_grad_ (R3 self, bool arg0) |
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| Tensor | tensor (R3 self) |
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| R3 | to (R3 self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| torch.Tensor | torch (R3 self) |
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| torch.Tensor | zero_ (R3 self) |
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| R3BaseView | base (self) |
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| R3BatchView | batch (self) |
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| torch.device | device (self) |
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| torch.dtype | dtype (self) |
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| R3DynamicView | dynamic (self) |
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| torch.Tensor | grad (self) |
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| R3IntmdView | intmd (self) |
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| bool | requires_grad (self) |
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| tuple[int,...] | shape (self) |
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| R3StaticView | static (self) |
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| R3 | dynamic_linspace (R3 start, R3 end, int step, int dim=0) |
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| R3 | dynamic_logspace (R3 start, R3 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) |
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| R3 | empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| R3 | empty (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| R3 | empty_like (R3 arg0) |
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| R3 | full (float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| R3 | 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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| R3 | full_like (R3 other, float fill_value) |
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| R3 | intmd_linspace (R3 start, R3 end, int step, int dim=0) |
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| R3 | intmd_logspace (R3 start, R3 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) |
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| R3 | ones (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| R3 | ones (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| R3 | ones_like (R3 arg0) |
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| R3 | rand (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| R3 | rand (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| R3 | rand_like (R3 arg0) |
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| R3 | zeros (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| R3 | zeros (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| R3 | zeros_like (R3 arg0) |
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