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| SR2 | __add__ (SR2 self, SR2 arg0) |
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| SR2 | __add__ (SR2 self, Scalar arg0) |
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| SR2 | __add__ (SR2 self, float arg0) |
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| SR2 | __iadd__ (SR2 self, float arg0) |
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| SR2 | __imul__ (SR2 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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| SR2 | __isub__ (SR2 self, float arg0) |
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| SR2 | __itruediv__ (SR2 self, float arg0) |
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| SR2 | __mul__ (SR2 self, Scalar arg0) |
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| SR2 | __mul__ (SR2 self, float arg0) |
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| SR2 | __neg__ (SR2 self) |
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| SR2 | __pow__ (SR2 self, float arg0) |
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| SR2 | __radd__ (SR2 self, Scalar arg0) |
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| SR2 | __radd__ (SR2 self, float arg0) |
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| str | __repr__ (SR2 self) |
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| SR2 | __rmul__ (SR2 self, Scalar arg0) |
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| SR2 | __rmul__ (SR2 self, float arg0) |
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| SR2 | __rsub__ (SR2 self, Scalar arg0) |
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| SR2 | __rsub__ (SR2 self, float arg0) |
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| SR2 | __rtruediv__ (SR2 self, Scalar arg0) |
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| SR2 | __rtruediv__ (SR2 self, float arg0) |
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| str | __str__ (SR2 self) |
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| SR2 | __sub__ (SR2 self, SR2 arg0) |
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| SR2 | __sub__ (SR2 self, Scalar arg0) |
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| SR2 | __sub__ (SR2 self, float arg0) |
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| SR2 | __truediv__ (SR2 self, Scalar arg0) |
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| SR2 | __truediv__ (SR2 self, float arg0) |
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| SR2 | clone (SR2 self) |
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| SR2 | contiguous (SR2 self) |
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| torch.Tensor | copy_ (SR2 self, torch.Tensor arg0, bool arg1) |
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| bool | defined (SR2 self) |
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| SR2 | detach (SR2 self) |
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| torch.Tensor | detach_ (SR2 self) |
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| int | dim (SR2 self) |
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| SR2 | inv (SR2 self) |
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| Number|torch.SymInt|torch.SymFloat|torch.SymBool | item (SR2 self) |
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| Scalar | norm (SR2 self) |
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| torch.Tensor | requires_grad_ (SR2 self, bool arg0) |
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| Tensor | tensor (SR2 self) |
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| SR2 | to (SR2 self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| torch.Tensor | torch (SR2 self) |
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| torch.Tensor | zero_ (SR2 self) |
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| SR2BaseView | base (self) |
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| SR2BatchView | batch (self) |
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| torch.device | device (self) |
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| torch.dtype | dtype (self) |
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| SR2DynamicView | dynamic (self) |
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| torch.Tensor | grad (self) |
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| SR2IntmdView | intmd (self) |
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| bool | requires_grad (self) |
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| tuple[int,...] | shape (self) |
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| SR2StaticView | static (self) |
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| SR2 | dynamic_linspace (SR2 start, SR2 end, int step, int dim=0) |
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| SR2 | dynamic_logspace (SR2 start, SR2 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) |
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| SR2 | empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| SR2 | empty (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| SR2 | empty_like (SR2 arg0) |
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| SR2 | fill (float a, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| SR2 | fill (Scalar arg0) |
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| SR2 | fill (float a11, float a22, float a33, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| SR2 | fill (Scalar arg0, Scalar arg1, Scalar arg2) |
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| SR2 | fill (float a11, float a22, float a33, float a23, float a13, float a12, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| SR2 | fill (Scalar arg0, Scalar arg1, Scalar arg2, Scalar arg3, Scalar arg4, Scalar arg5) |
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| SR2 | full (float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| SR2 | 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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| SR2 | full_like (SR2 other, float fill_value) |
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| SR2 | intmd_linspace (SR2 start, SR2 end, int step, int dim=0) |
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| SR2 | intmd_logspace (SR2 start, SR2 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) |
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| SR2 | ones (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| SR2 | ones (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| SR2 | ones_like (SR2 arg0) |
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| SR2 | rand (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| SR2 | rand (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| SR2 | rand_like (SR2 arg0) |
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| SR2 | zeros (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| SR2 | zeros (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| SR2 | zeros_like (SR2 arg0) |
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