NEML2 2.0.0
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R5 Member List

This is the complete list of members for R5, including all inherited members.

__add__(self, float arg0)R5
__add__(self, Scalar arg0)R5
__add__(self, R5 arg0)R5
__init__(self)R5
__init__(self, torch.Tensor arg0, int arg1)R5
__init__(self, R5 arg0)R5
__init__(self, torch.Tensor arg0)R5
__mul__(self, float arg0)R5
__mul__(self, Scalar arg0)R5
__neg__(self)R5
__pow__(self, float arg0)R5
__pow__(self, Scalar arg0)R5
__radd__(self, float arg0)R5
__repr__(self)R5
__rmul__(self, float arg0)R5
__rpow__(self, float arg0)R5
__rsub__(self, float arg0)R5
__rtruediv__(self, float arg0)R5
__str__(self)R5
__sub__(self, float arg0)R5
__sub__(self, Scalar arg0)R5
__sub__(self, R5 arg0)R5
__truediv__(self, float arg0)R5
__truediv__(self, Scalar arg0)R5
__truediv__(self, R5 arg0)R5
base(self)R5
batch(self)R5
batched(self)R5
clone(self)R5
copy_(self, torch.Tensor arg0, bool arg1)R5
defined(self)R5
detach(self)R5
detach_(self)R5
device(self)R5
dim(self)R5
dtype(self)R5
empty(*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R5static
empty(tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R5static
empty_like(R5 arg0)R5static
full(float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R5static
full(tuple[int,...] batch_shape, float fill_value, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R5static
full_like(R5 arg0, float arg1)R5static
grad(self)R5
linspace(R5 start, R5 end, int nstep, int dim=0)R5static
logspace(R5 start, R5 end, int nstep, int dim=0, float base=10.0)R5static
ones(*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R5static
ones(tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R5static
ones_like(R5 arg0)R5static
requires_grad(self)R5
requires_grad_(self, bool arg0)R5
shape(self)R5
tensor(self)R5
to(self, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R5
torch(self)R5
torch(self)R5
zero_(self)R5
zeros(*torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R5static
zeros(tuple[int,...] batch_shape, *torch.dtype dtype=..., torch.device device=..., bool requires_grad=False)R5static
zeros_like(R5 arg0)R5static