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NEML2 2.0.0
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This is the complete list of members for WWR4, including all inherited members.
| __add__(self, typing.SupportsFloat arg0) | WWR4 | |
| __add__(self, Scalar arg0) | WWR4 | |
| __add__(self, WWR4 arg0) | WWR4 | |
| __iadd__(self, typing.SupportsFloat arg0) | WWR4 | |
| __imul__(self, typing.SupportsFloat arg0) | WWR4 | |
| __init__(self) | WWR4 | |
| __init__(self, torch.Tensor arg0, typing.SupportsInt arg1) | WWR4 | |
| __init__(self, WWR4 arg0) | WWR4 | |
| __init__(self, torch.Tensor arg0) | WWR4 | |
| __isub__(self, typing.SupportsFloat arg0) | WWR4 | |
| __itruediv__(self, typing.SupportsFloat arg0) | WWR4 | |
| __mul__(self, typing.SupportsFloat arg0) | WWR4 | |
| __mul__(self, Scalar arg0) | WWR4 | |
| __neg__(self) | WWR4 | |
| __pow__(self, typing.SupportsFloat arg0) | WWR4 | |
| __pow__(self, Scalar arg0) | WWR4 | |
| __radd__(self, typing.SupportsFloat arg0) | WWR4 | |
| __repr__(self) | WWR4 | |
| __rmul__(self, typing.SupportsFloat arg0) | WWR4 | |
| __rpow__(self, typing.SupportsFloat arg0) | WWR4 | |
| __rsub__(self, typing.SupportsFloat arg0) | WWR4 | |
| __rtruediv__(self, typing.SupportsFloat arg0) | WWR4 | |
| __str__(self) | WWR4 | |
| __sub__(self, typing.SupportsFloat arg0) | WWR4 | |
| __sub__(self, Scalar arg0) | WWR4 | |
| __sub__(self, WWR4 arg0) | WWR4 | |
| __truediv__(self, typing.SupportsFloat arg0) | WWR4 | |
| __truediv__(self, Scalar arg0) | WWR4 | |
| __truediv__(self, WWR4 arg0) | WWR4 | |
| base(self) | WWR4 | |
| batch(self) | WWR4 | |
| batched(self) | WWR4 | |
| clone(self) | WWR4 | |
| copy_(self, torch.Tensor arg0, bool arg1) | WWR4 | |
| defined(self) | WWR4 | |
| detach(self) | WWR4 | |
| detach_(self) | WWR4 | |
| device(self) | WWR4 | |
| dim(self) | WWR4 | |
| dtype(self) | WWR4 | |
| empty(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WWR4 | static |
| empty(tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WWR4 | static |
| empty_like(WWR4 arg0) | WWR4 | static |
| full(typing.SupportsFloat fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WWR4 | static |
| full(tuple[int,...] batch_shape, typing.SupportsFloat fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WWR4 | static |
| full_like(WWR4 other, typing.SupportsFloat fill_value) | WWR4 | static |
| grad(self) | WWR4 | |
| item(self) | WWR4 | |
| linspace(WWR4 start, WWR4 end, typing.SupportsInt nstep, typing.SupportsInt dim=0) | WWR4 | static |
| logspace(WWR4 start, WWR4 end, typing.SupportsInt nstep, typing.SupportsInt dim=0, typing.SupportsFloat base=10.0) | WWR4 | static |
| ones(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WWR4 | static |
| ones(tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WWR4 | static |
| ones_like(WWR4 arg0) | WWR4 | static |
| requires_grad(self) | WWR4 | |
| requires_grad_(self, bool arg0) | WWR4 | |
| shape(self) | WWR4 | |
| tensor(self) | WWR4 | |
| to(self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WWR4 | |
| torch(self) | WWR4 | |
| torch(self) | WWR4 | |
| zero_(self) | WWR4 | |
| zeros(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WWR4 | static |
| zeros(tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WWR4 | static |
| zeros_like(WWR4 arg0) | WWR4 | static |