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NEML2 2.0.0
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This is the complete list of members for SR2, including all inherited members.
| __add__(SR2 self, SR2 arg0) | SR2 | |
| __add__(SR2 self, Scalar arg0) | SR2 | |
| __add__(SR2 self, float arg0) | SR2 | |
| __iadd__(SR2 self, float arg0) | SR2 | |
| __imul__(SR2 self, float arg0) | SR2 | |
| __init__(self) | SR2 | |
| __init__(self, torch.Tensor tensor, int dynamic_dim, int intmd_dim) | SR2 | |
| __init__(self, Vec other) | SR2 | |
| __init__(self, Rot other) | SR2 | |
| __init__(self, WR2 other) | SR2 | |
| __init__(self, R2 other) | SR2 | |
| __init__(self, SR2 other) | SR2 | |
| __init__(self, R3 other) | SR2 | |
| __init__(self, SFR3 other) | SR2 | |
| __init__(self, R4 other) | SR2 | |
| __init__(self, SFFR4 other) | SR2 | |
| __init__(self, WFFR4 other) | SR2 | |
| __init__(self, SSR4 other) | SR2 | |
| __init__(self, SWR4 other) | SR2 | |
| __init__(self, WSR4 other) | SR2 | |
| __init__(self, WWR4 other) | SR2 | |
| __init__(self, Quaternion other) | SR2 | |
| __init__(self, MillerIndex other) | SR2 | |
| __init__(self, Tensor other) | SR2 | |
| __init__(self, Scalar other) | SR2 | |
| __init__(self, torch.Tensor tensor, int intmd_dim=0) | SR2 | |
| __isub__(SR2 self, float arg0) | SR2 | |
| __itruediv__(SR2 self, float arg0) | SR2 | |
| __mul__(SR2 self, Scalar arg0) | SR2 | |
| __mul__(SR2 self, float arg0) | SR2 | |
| __neg__(SR2 self) | SR2 | |
| __pow__(SR2 self, float arg0) | SR2 | |
| __radd__(SR2 self, Scalar arg0) | SR2 | |
| __radd__(SR2 self, float arg0) | SR2 | |
| __repr__(SR2 self) | SR2 | |
| __rmul__(SR2 self, Scalar arg0) | SR2 | |
| __rmul__(SR2 self, float arg0) | SR2 | |
| __rsub__(SR2 self, Scalar arg0) | SR2 | |
| __rsub__(SR2 self, float arg0) | SR2 | |
| __rtruediv__(SR2 self, Scalar arg0) | SR2 | |
| __rtruediv__(SR2 self, float arg0) | SR2 | |
| __str__(SR2 self) | SR2 | |
| __sub__(SR2 self, SR2 arg0) | SR2 | |
| __sub__(SR2 self, Scalar arg0) | SR2 | |
| __sub__(SR2 self, float arg0) | SR2 | |
| __truediv__(SR2 self, Scalar arg0) | SR2 | |
| __truediv__(SR2 self, float arg0) | SR2 | |
| base(self) | SR2 | |
| batch(self) | SR2 | |
| clone(SR2 self) | SR2 | |
| contiguous(SR2 self) | SR2 | |
| copy_(SR2 self, torch.Tensor arg0, bool arg1) | SR2 | |
| defined(SR2 self) | SR2 | |
| detach(SR2 self) | SR2 | |
| detach_(SR2 self) | SR2 | |
| device(self) | SR2 | |
| dim(SR2 self) | SR2 | |
| dtype(self) | SR2 | |
| dynamic(self) | SR2 | |
| dynamic_linspace(SR2 start, SR2 end, int step, int dim=0) | SR2 | static |
| dynamic_logspace(SR2 start, SR2 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) | SR2 | static |
| empty(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| empty(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| empty_like(SR2 arg0) | SR2 | static |
| fill(float a, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| fill(Scalar arg0) | SR2 | static |
| fill(float a11, float a22, float a33, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| fill(Scalar arg0, Scalar arg1, Scalar arg2) | SR2 | static |
| fill(float a11, float a22, float a33, float a23, float a13, float a12, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| fill(Scalar arg0, Scalar arg1, Scalar arg2, Scalar arg3, Scalar arg4, Scalar arg5) | SR2 | static |
| full(float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| full(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| full_like(SR2 other, float fill_value) | SR2 | static |
| grad(self) | SR2 | |
| intmd(self) | SR2 | |
| intmd_linspace(SR2 start, SR2 end, int step, int dim=0) | SR2 | static |
| intmd_logspace(SR2 start, SR2 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) | SR2 | static |
| inv(SR2 self) | SR2 | |
| item(SR2 self) | SR2 | |
| norm(SR2 self) | SR2 | |
| ones(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| ones(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| ones_like(SR2 arg0) | SR2 | static |
| rand(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| rand(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| rand_like(SR2 arg0) | SR2 | static |
| requires_grad(self) | SR2 | |
| requires_grad_(SR2 self, bool arg0) | SR2 | |
| shape(self) | SR2 | |
| static(self) | SR2 | |
| tensor(SR2 self) | SR2 | |
| to(SR2 self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | |
| torch(SR2 self) | SR2 | |
| zero_(SR2 self) | SR2 | |
| zeros(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| zeros(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | SR2 | static |
| zeros_like(SR2 arg0) | SR2 | static |