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