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