NEML2 2.0.0
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Scalar Member List

This is the complete list of members for Scalar, including all inherited members.

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