|
| neml2.Vec | __add__ (neml2.Vec self, neml2.Vec arg0) |
| neml2.Vec | __add__ (neml2.Vec self, neml2.Scalar arg0) |
| neml2.Vec | __add__ (neml2.Vec self, float arg0) |
| neml2.Vec | __iadd__ (neml2.Vec self, float arg0) |
| neml2.Vec | __imul__ (neml2.Vec self, float arg0) |
| None | __init__ (self) |
| None | __init__ (self, torch.Tensor tensor, int dynamic_dim, int intmd_dim) |
| None | __init__ (self, neml2.Vec other) |
| None | __init__ (self, neml2.Rot other) |
| None | __init__ (self, neml2.WR2 other) |
| None | __init__ (self, neml2.R2 other) |
| None | __init__ (self, neml2.SR2 other) |
| None | __init__ (self, neml2.R3 other) |
| None | __init__ (self, neml2.SFR3 other) |
| None | __init__ (self, neml2.R4 other) |
| None | __init__ (self, neml2.SFFR4 other) |
| None | __init__ (self, neml2.WFFR4 other) |
| None | __init__ (self, neml2.SSR4 other) |
| None | __init__ (self, neml2.SWR4 other) |
| None | __init__ (self, neml2.WSR4 other) |
| None | __init__ (self, neml2.WWR4 other) |
| None | __init__ (self, neml2.Quaternion other) |
| None | __init__ (self, neml2.MillerIndex other) |
| None | __init__ (self, neml2.Tensor other) |
| None | __init__ (self, neml2.Scalar other) |
| None | __init__ (self, torch.Tensor tensor, int intmd_dim=0) |
| neml2.Vec | __isub__ (neml2.Vec self, float arg0) |
| neml2.Vec | __itruediv__ (neml2.Vec self, float arg0) |
| neml2.Vec | __mul__ (neml2.Vec self, neml2.Scalar arg0) |
| neml2.Vec | __mul__ (neml2.Vec self, float arg0) |
| neml2.Vec | __neg__ (neml2.Vec self) |
| neml2.Vec | __pow__ (neml2.Vec self, float arg0) |
| neml2.Vec | __radd__ (neml2.Vec self, neml2.Scalar arg0) |
| neml2.Vec | __radd__ (neml2.Vec self, float arg0) |
| str | __repr__ (neml2.Vec self) |
| neml2.Vec | __rmul__ (neml2.Vec self, neml2.Scalar arg0) |
| neml2.Vec | __rmul__ (neml2.Vec self, float arg0) |
| neml2.Vec | __rsub__ (neml2.Vec self, neml2.Scalar arg0) |
| neml2.Vec | __rsub__ (neml2.Vec self, float arg0) |
| neml2.Vec | __rtruediv__ (neml2.Vec self, neml2.Scalar arg0) |
| neml2.Vec | __rtruediv__ (neml2.Vec self, float arg0) |
| str | __str__ (neml2.Vec self) |
| neml2.Vec | __sub__ (neml2.Vec self, neml2.Vec arg0) |
| neml2.Vec | __sub__ (neml2.Vec self, neml2.Scalar arg0) |
| neml2.Vec | __sub__ (neml2.Vec self, float arg0) |
| neml2.Vec | __truediv__ (neml2.Vec self, neml2.Scalar arg0) |
| neml2.Vec | __truediv__ (neml2.Vec self, float arg0) |
| neml2.Vec | clone (neml2.Vec self) |
| neml2.Vec | contiguous (neml2.Vec self) |
| torch.Tensor | copy_ (neml2.Vec self, torch.Tensor arg0, bool arg1) |
| neml2.Vec | cross (neml2.Vec self, neml2.Vec arg0) |
| bool | defined (neml2.Vec self) |
| neml2.Vec | detach (neml2.Vec self) |
| torch.Tensor | detach_ (neml2.Vec self) |
| int | dim (neml2.Vec self) |
| neml2.R2 | drotate (neml2.Vec self, neml2.Rot arg0) |
| neml2.R3 | drotate (neml2.Vec self, neml2.R2 arg0) |
| Number|torch.SymInt|torch.SymFloat|torch.SymBool | item (neml2.Vec self) |
| neml2.Scalar | norm (neml2.Vec self) |
| torch.Tensor | requires_grad_ (neml2.Vec self, bool arg0) |
| neml2.Vec | rotate (neml2.Vec self, neml2.Rot arg0) |
| neml2.Vec | rotate (neml2.Vec self, neml2.R2 arg0) |
| neml2.Tensor | tensor (neml2.Vec self) |
| neml2.Vec | to (neml2.Vec self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
| torch.Tensor | torch (neml2.Vec self) |
| torch.Tensor | zero_ (neml2.Vec self) |
| VecBaseView | base (self) |
| VecBatchView | batch (self) |
| torch.device | device (self) |
| torch.dtype | dtype (self) |
| VecDynamicView | dynamic (self) |
| torch.Tensor | grad (self) |
| VecIntmdView | intmd (self) |
| bool | requires_grad (self) |
| tuple[int,...] | shape (self) |
| VecStaticView | static (self) |
|
| neml2.Vec | dynamic_linspace (neml2.Vec start, neml2.Vec end, int step, int dim=0) |
| neml2.Vec | dynamic_logspace (neml2.Vec start, neml2.Vec end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) |
| neml2.Vec | empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
| neml2.Vec | empty (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
| neml2.Vec | empty_like (neml2.Vec arg0) |
| neml2.Vec | full (float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
| neml2.Vec | full (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
| neml2.Vec | full_like (neml2.Vec other, float fill_value) |
| neml2.Vec | intmd_linspace (neml2.Vec start, neml2.Vec end, int step, int dim=0) |
| neml2.Vec | intmd_logspace (neml2.Vec start, neml2.Vec end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) |
| neml2.Vec | ones (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
| neml2.Vec | ones (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
| neml2.Vec | ones_like (neml2.Vec arg0) |
| neml2.Vec | rand (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
| neml2.Vec | rand (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
| neml2.Vec | rand_like (neml2.Vec arg0) |
| neml2.Vec | zeros (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
| neml2.Vec | zeros (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
| neml2.Vec | zeros_like (neml2.Vec arg0) |