- Generated by
1.10.0
|
NEML2 1.4.0
|
This is the complete list of members for Vec, including all inherited members.
| __add__(self, float arg0) | Vec | |
| __add__(self, Scalar arg0) | Vec | |
| __add__(self, Vec arg0) | Vec | |
| __call__(self, int arg0) | Vec | |
| __init__(self) | Vec | |
| __init__(self, torch.Tensor arg0, int arg1) | Vec | |
| __init__(self, Vec arg0) | Vec | |
| __init__(self, torch.Tensor arg0) | Vec | |
| __init__(self, Rot arg0) | Vec | |
| __mul__(self, float arg0) | Vec | |
| __mul__(self, Scalar arg0) | Vec | |
| __neg__(self) | Vec | |
| __pow__(self, float arg0) | Vec | |
| __pow__(self, Scalar arg0) | Vec | |
| __radd__(self, float arg0) | Vec | |
| __repr__(self) | Vec | |
| __rmul__(self, float arg0) | Vec | |
| __rpow__(self, float arg0) | Vec | |
| __rsub__(self, float arg0) | Vec | |
| __rtruediv__(self, float arg0) | Vec | |
| __str__(self) | Vec | |
| __sub__(self, float arg0) | Vec | |
| __sub__(self, Scalar arg0) | Vec | |
| __sub__(self, Vec arg0) | Vec | |
| __truediv__(self, float arg0) | Vec | |
| __truediv__(self, Scalar arg0) | Vec | |
| __truediv__(self, Vec arg0) | Vec | |
| base(self) | Vec | |
| batch(self) | Vec | |
| batched(self) | Vec | |
| clone(self) | Vec | |
| copy_(self, torch.Tensor arg0, bool arg1) | Vec | |
| cross(self, Vec arg0) | Vec | |
| cross(self, Rot arg0) | Vec | |
| cross(self, WR2 arg0) | Vec | |
| defined(self) | Vec | |
| detach(self) | Vec | |
| detach_(self) | Vec | |
| device(self) | Vec | |
| dim(self) | Vec | |
| dot(self, Vec arg0) | Vec | |
| dot(self, Rot arg0) | Vec | |
| dot(self, WR2 arg0) | Vec | |
| drotate(self, Rot arg0) | Vec | |
| dtype(self) | Vec | |
| empty(*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Vec | static |
| empty(tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Vec | static |
| empty_like(Vec arg0) | Vec | static |
| fill(float x, float y, float z, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Vec | static |
| fill(Scalar x, Scalar y, Scalar z) | Vec | static |
| full(float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Vec | static |
| full(tuple[int,...] batch_shape, float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Vec | static |
| full_like(Vec arg0, float arg1) | Vec | static |
| grad(self) | Vec | |
| identity_map(*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Vec | static |
| linspace(Vec start, Vec end, int nstep, int dim=0, int batch_dim=-1) | Vec | static |
| logspace(Vec start, Vec end, int nstep, int dim=0, int batch_dim=-1, float base=10.0) | Vec | static |
| norm(self) | Vec | |
| norm_sq(self) | Vec | |
| ones(*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Vec | static |
| ones(tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Vec | static |
| ones_like(Vec arg0) | Vec | static |
| outer(self, Vec arg0) | Vec | |
| outer(self, Rot arg0) | Vec | |
| outer(self, WR2 arg0) | Vec | |
| requires_grad(self) | Vec | |
| requires_grad_(self, bool arg0) | Vec | |
| rotate(self, Rot arg0) | Vec | |
| shape(self) | Vec | |
| tensor(self) | Vec | |
| to(self, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Vec | |
| torch(self) | Vec | |
| torch(self) | Vec | |
| transform(self, R2 arg0) | Vec | |
| zero_(self) | Vec | |
| zeros(*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Vec | static |
| zeros(tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Vec | static |
| zeros_like(Vec arg0) | Vec | static |
1.10.0