- Generated by
1.12.0
|
NEML2 2.0.0
|
This is the complete list of members for WR2, including all inherited members.
| __add__(WR2 self, WR2 arg0) | WR2 | |
| __add__(WR2 self, Scalar arg0) | WR2 | |
| __add__(WR2 self, float arg0) | WR2 | |
| __iadd__(WR2 self, float arg0) | WR2 | |
| __imul__(WR2 self, float arg0) | WR2 | |
| __init__(self) | WR2 | |
| __init__(self, torch.Tensor tensor, int dynamic_dim, int intmd_dim) | WR2 | |
| __init__(self, Vec other) | WR2 | |
| __init__(self, Rot other) | WR2 | |
| __init__(self, WR2 other) | WR2 | |
| __init__(self, R2 other) | WR2 | |
| __init__(self, SR2 other) | WR2 | |
| __init__(self, R3 other) | WR2 | |
| __init__(self, SFR3 other) | WR2 | |
| __init__(self, R4 other) | WR2 | |
| __init__(self, SFFR4 other) | WR2 | |
| __init__(self, WFFR4 other) | WR2 | |
| __init__(self, SSR4 other) | WR2 | |
| __init__(self, SWR4 other) | WR2 | |
| __init__(self, WSR4 other) | WR2 | |
| __init__(self, WWR4 other) | WR2 | |
| __init__(self, Quaternion other) | WR2 | |
| __init__(self, MillerIndex other) | WR2 | |
| __init__(self, Tensor other) | WR2 | |
| __init__(self, Scalar other) | WR2 | |
| __init__(self, torch.Tensor tensor, int intmd_dim=0) | WR2 | |
| __isub__(WR2 self, float arg0) | WR2 | |
| __itruediv__(WR2 self, float arg0) | WR2 | |
| __mul__(WR2 self, Scalar arg0) | WR2 | |
| __mul__(WR2 self, float arg0) | WR2 | |
| __neg__(WR2 self) | WR2 | |
| __pow__(WR2 self, float arg0) | WR2 | |
| __radd__(WR2 self, Scalar arg0) | WR2 | |
| __radd__(WR2 self, float arg0) | WR2 | |
| __repr__(WR2 self) | WR2 | |
| __rmul__(WR2 self, Scalar arg0) | WR2 | |
| __rmul__(WR2 self, float arg0) | WR2 | |
| __rsub__(WR2 self, Scalar arg0) | WR2 | |
| __rsub__(WR2 self, float arg0) | WR2 | |
| __rtruediv__(WR2 self, Scalar arg0) | WR2 | |
| __rtruediv__(WR2 self, float arg0) | WR2 | |
| __str__(WR2 self) | WR2 | |
| __sub__(WR2 self, WR2 arg0) | WR2 | |
| __sub__(WR2 self, Scalar arg0) | WR2 | |
| __sub__(WR2 self, float arg0) | WR2 | |
| __truediv__(WR2 self, Scalar arg0) | WR2 | |
| __truediv__(WR2 self, float arg0) | WR2 | |
| base(self) | WR2 | |
| batch(self) | WR2 | |
| clone(WR2 self) | WR2 | |
| contiguous(WR2 self) | WR2 | |
| copy_(WR2 self, torch.Tensor arg0, bool arg1) | WR2 | |
| defined(WR2 self) | WR2 | |
| detach(WR2 self) | WR2 | |
| detach_(WR2 self) | WR2 | |
| device(self) | WR2 | |
| dim(WR2 self) | WR2 | |
| dtype(self) | WR2 | |
| dynamic(self) | WR2 | |
| dynamic_linspace(WR2 start, WR2 end, int step, int dim=0) | WR2 | static |
| dynamic_logspace(WR2 start, WR2 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) | WR2 | static |
| empty(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| empty(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| empty_like(WR2 arg0) | WR2 | static |
| full(float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| full(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| full_like(WR2 other, float fill_value) | WR2 | static |
| grad(self) | WR2 | |
| intmd(self) | WR2 | |
| intmd_linspace(WR2 start, WR2 end, int step, int dim=0) | WR2 | static |
| intmd_logspace(WR2 start, WR2 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) | WR2 | static |
| item(WR2 self) | WR2 | |
| norm(WR2 self) | WR2 | |
| ones(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| ones(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| ones_like(WR2 arg0) | WR2 | static |
| rand(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| rand(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| rand_like(WR2 arg0) | WR2 | static |
| requires_grad(self) | WR2 | |
| requires_grad_(WR2 self, bool arg0) | WR2 | |
| shape(self) | WR2 | |
| static(self) | WR2 | |
| tensor(WR2 self) | WR2 | |
| to(WR2 self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | |
| torch(WR2 self) | WR2 | |
| zero_(WR2 self) | WR2 | |
| zeros(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| zeros(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| zeros_like(WR2 arg0) | WR2 | static |
1.12.0