NEML2 2.0.0
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R4 Member List

This is the complete list of members for R4, including all inherited members.

__add__(R4 self, R4 arg0)R4
__add__(R4 self, Scalar arg0)R4
__add__(R4 self, float arg0)R4
__iadd__(R4 self, float arg0)R4
__imul__(R4 self, float arg0)R4
__init__(self)R4
__init__(self, torch.Tensor tensor, int dynamic_dim, int intmd_dim)R4
__init__(self, Vec other)R4
__init__(self, Rot other)R4
__init__(self, WR2 other)R4
__init__(self, R2 other)R4
__init__(self, SR2 other)R4
__init__(self, R3 other)R4
__init__(self, SFR3 other)R4
__init__(self, R4 other)R4
__init__(self, SFFR4 other)R4
__init__(self, WFFR4 other)R4
__init__(self, SSR4 other)R4
__init__(self, SWR4 other)R4
__init__(self, WSR4 other)R4
__init__(self, WWR4 other)R4
__init__(self, Quaternion other)R4
__init__(self, MillerIndex other)R4
__init__(self, Tensor other)R4
__init__(self, Scalar other)R4
__init__(self, torch.Tensor tensor, int intmd_dim=0)R4
__isub__(R4 self, float arg0)R4
__itruediv__(R4 self, float arg0)R4
__mul__(R4 self, Scalar arg0)R4
__mul__(R4 self, float arg0)R4
__neg__(R4 self)R4
__pow__(R4 self, float arg0)R4
__radd__(R4 self, Scalar arg0)R4
__radd__(R4 self, float arg0)R4
__repr__(R4 self)R4
__rmul__(R4 self, Scalar arg0)R4
__rmul__(R4 self, float arg0)R4
__rsub__(R4 self, Scalar arg0)R4
__rsub__(R4 self, float arg0)R4
__rtruediv__(R4 self, Scalar arg0)R4
__rtruediv__(R4 self, float arg0)R4
__str__(R4 self)R4
__sub__(R4 self, R4 arg0)R4
__sub__(R4 self, Scalar arg0)R4
__sub__(R4 self, float arg0)R4
__truediv__(R4 self, Scalar arg0)R4
__truediv__(R4 self, float arg0)R4
base(self)R4
batch(self)R4
clone(R4 self)R4
contiguous(R4 self)R4
copy_(R4 self, torch.Tensor arg0, bool arg1)R4
defined(R4 self)R4
detach(R4 self)R4
detach_(R4 self)R4
device(self)R4
dim(R4 self)R4
dtype(self)R4
dynamic(self)R4
dynamic_linspace(R4 start, R4 end, int step, int dim=0)R4static
dynamic_logspace(R4 start, R4 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0)R4static
empty(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R4static
empty(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R4static
empty_like(R4 arg0)R4static
full(float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R4static
full(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R4static
full_like(R4 other, float fill_value)R4static
grad(self)R4
intmd(self)R4
intmd_linspace(R4 start, R4 end, int step, int dim=0)R4static
intmd_logspace(R4 start, R4 end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0)R4static
inv(R4 self)R4
item(R4 self)R4
norm(R4 self)R4
ones(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R4static
ones(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R4static
ones_like(R4 arg0)R4static
rand(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R4static
rand(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R4static
rand_like(R4 arg0)R4static
requires_grad(self)R4
requires_grad_(R4 self, bool arg0)R4
shape(self)R4
static(self)R4
tensor(R4 self)R4
to(R4 self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R4
torch(R4 self)R4
zero_(R4 self)R4
zeros(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R4static
zeros(tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R4static
zeros_like(R4 arg0)R4static