- Generated by
1.10.0
|
NEML2 2.0.0
|
This is the complete list of members for Tensor, including all inherited members.
| __add__(self, float arg0) | Tensor | |
| __add__(self, Scalar arg0) | Tensor | |
| __add__(self, Tensor arg0) | Tensor | |
| __init__(self) | Tensor | |
| __init__(self, torch.Tensor arg0, int arg1) | Tensor | |
| __init__(self, Tensor arg0) | Tensor | |
| __init__(self, Vec arg0) | Tensor | |
| __init__(self, Rot arg0) | Tensor | |
| __init__(self, WR2 arg0) | Tensor | |
| __init__(self, R2 arg0) | Tensor | |
| __init__(self, Scalar arg0) | Tensor | |
| __init__(self, SR2 arg0) | Tensor | |
| __init__(self, R3 arg0) | Tensor | |
| __init__(self, SFR3 arg0) | Tensor | |
| __init__(self, R4 arg0) | Tensor | |
| __init__(self, SSR4 arg0) | Tensor | |
| __init__(self, SFFR4 arg0) | Tensor | |
| __init__(self, SWR4 arg0) | Tensor | |
| __init__(self, WSR4 arg0) | Tensor | |
| __init__(self, WWR4 arg0) | Tensor | |
| __init__(self, R5 arg0) | Tensor | |
| __init__(self, SSFR5 arg0) | Tensor | |
| __init__(self, Quaternion arg0) | Tensor | |
| __init__(self, MillerIndex arg0) | Tensor | |
| __init__(self, SSSSR8 arg0) | Tensor | |
| __init__(self, R8 arg0) | Tensor | |
| __mul__(self, float arg0) | Tensor | |
| __mul__(self, Scalar arg0) | Tensor | |
| __neg__(self) | Tensor | |
| __pow__(self, float arg0) | Tensor | |
| __pow__(self, Scalar arg0) | Tensor | |
| __pow__(self, Tensor arg0) | Tensor | |
| __radd__(self, float arg0) | Tensor | |
| __repr__(self) | Tensor | |
| __rmul__(self, float arg0) | Tensor | |
| __rpow__(self, float arg0) | Tensor | |
| __rsub__(self, float arg0) | Tensor | |
| __rtruediv__(self, float arg0) | Tensor | |
| __str__(self) | Tensor | |
| __sub__(self, float arg0) | Tensor | |
| __sub__(self, Scalar arg0) | Tensor | |
| __sub__(self, Tensor arg0) | Tensor | |
| __truediv__(self, float arg0) | Tensor | |
| __truediv__(self, Scalar arg0) | Tensor | |
| __truediv__(self, Tensor arg0) | Tensor | |
| base(self) | Tensor | |
| batch(self) | Tensor | |
| batched(self) | Tensor | |
| clone(self) | Tensor | |
| copy_(self, torch.Tensor arg0, bool arg1) | Tensor | |
| defined(self) | Tensor | |
| detach(self) | Tensor | |
| detach_(self) | Tensor | |
| device(self) | Tensor | |
| dim(self) | Tensor | |
| dtype(self) | Tensor | |
| empty(tuple[int,...] base_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Tensor | static |
| empty(tuple[int,...] batch_shape, tuple[int,...] base_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Tensor | static |
| empty_like(Tensor arg0) | Tensor | static |
| full(tuple[int,...] base_shape, float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Tensor | static |
| full(tuple[int,...] batch_shape, tuple[int,...] base_shape, float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Tensor | static |
| full_like(Tensor arg0, float arg1) | Tensor | static |
| grad(self) | Tensor | |
| identity(int n, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Tensor | static |
| identity(tuple[int,...] batch_shape, int n, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Tensor | static |
| linspace(Tensor start, Tensor end, int nstep, int dim=0) | Tensor | static |
| logspace(Tensor start, Tensor end, int nstep, int dim=0, float base=10.0) | Tensor | static |
| ones(tuple[int,...] base_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Tensor | static |
| ones(tuple[int,...] batch_shape, tuple[int,...] base_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Tensor | static |
| ones_like(Tensor arg0) | Tensor | static |
| requires_grad(self) | Tensor | |
| requires_grad_(self, bool arg0) | Tensor | |
| shape(self) | Tensor | |
| to(self, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Tensor | |
| torch(self) | Tensor | |
| zero_(self) | Tensor | |
| zeros(tuple[int,...] base_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Tensor | static |
| zeros(tuple[int,...] batch_shape, tuple[int,...] base_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | Tensor | static |
| zeros_like(Tensor arg0) | Tensor | static |
1.10.0