NEML2 2.0.0
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R2 Member List

This is the complete list of members for R2, including all inherited members.

__add__(self, float arg0)R2
__add__(self, Scalar arg0)R2
__add__(self, R2 arg0)R2
__call__(self, int arg0, int arg1)R2
__init__(self)R2
__init__(self, torch.Tensor arg0, int arg1)R2
__init__(self, R2 arg0)R2
__init__(self, torch.Tensor arg0)R2
__init__(self, SR2 arg0)R2
__init__(self, WR2 arg0)R2
__mul__(self, float arg0)R2
__mul__(self, Scalar arg0)R2
__mul__(self, Vec arg0)R2
__mul__(self, R2 arg0)R2
__neg__(self)R2
__pow__(self, float arg0)R2
__pow__(self, Scalar arg0)R2
__radd__(self, float arg0)R2
__repr__(self)R2
__rmul__(self, float arg0)R2
__rpow__(self, float arg0)R2
__rsub__(self, float arg0)R2
__rtruediv__(self, float arg0)R2
__str__(self)R2
__sub__(self, float arg0)R2
__sub__(self, Scalar arg0)R2
__sub__(self, R2 arg0)R2
__truediv__(self, float arg0)R2
__truediv__(self, Scalar arg0)R2
__truediv__(self, R2 arg0)R2
base(self)R2
batch(self)R2
batched(self)R2
clone(self)R2
copy_(self, torch.Tensor arg0, bool arg1)R2
defined(self)R2
detach(self)R2
detach_(self)R2
device(self)R2
dim(self)R2
drotate(self, Rot arg0)R2
dtype(self)R2
empty(*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R2static
empty(tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R2static
empty_like(R2 arg0)R2static
full(float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R2static
full(tuple[int,...] batch_shape, float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R2static
full_like(R2 arg0, float arg1)R2static
grad(self)R2
inverse(self)R2
linspace(R2 start, R2 end, int nstep, int dim=0)R2static
logspace(R2 start, R2 end, int nstep, int dim=0, float base=10.0)R2static
ones(*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R2static
ones(tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R2static
ones_like(R2 arg0)R2static
requires_grad(self)R2
requires_grad_(self, bool arg0)R2
rotate(self, Rot arg0)R2
shape(self)R2
tensor(self)R2
to(self, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R2
torch(self)R2
torch(self)R2
transpose(self)R2
zero_(self)R2
zeros(*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R2static
zeros(tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R2static
zeros_like(R2 arg0)R2static