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NEML2 2.0.0
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This is the complete list of members for WR2, including all inherited members.
| __add__(self, float arg0) | WR2 | |
| __add__(self, Scalar arg0) | WR2 | |
| __add__(self, WR2 arg0) | WR2 | |
| __call__(self, int arg0, int arg1) | WR2 | |
| __call__(self, int arg0, int arg1) | WR2 | |
| __iadd__(self, float arg0) | WR2 | |
| __imul__(self, float arg0) | WR2 | |
| __init__(self) | WR2 | |
| __init__(self, torch.Tensor arg0, int arg1) | WR2 | |
| __init__(self, WR2 arg0) | WR2 | |
| __init__(self, torch.Tensor arg0) | WR2 | |
| __init__(self, R2 arg0) | WR2 | |
| __isub__(self, float arg0) | WR2 | |
| __itruediv__(self, float arg0) | WR2 | |
| __mul__(self, float arg0) | WR2 | |
| __mul__(self, Scalar arg0) | WR2 | |
| __neg__(self) | WR2 | |
| __pow__(self, float arg0) | WR2 | |
| __pow__(self, Scalar arg0) | WR2 | |
| __radd__(self, float arg0) | WR2 | |
| __repr__(self) | WR2 | |
| __rmul__(self, float arg0) | WR2 | |
| __rpow__(self, float arg0) | WR2 | |
| __rsub__(self, float arg0) | WR2 | |
| __rtruediv__(self, float arg0) | WR2 | |
| __str__(self) | WR2 | |
| __sub__(self, float arg0) | WR2 | |
| __sub__(self, Scalar arg0) | WR2 | |
| __sub__(self, WR2 arg0) | WR2 | |
| __truediv__(self, float arg0) | WR2 | |
| __truediv__(self, Scalar arg0) | WR2 | |
| __truediv__(self, WR2 arg0) | WR2 | |
| base(self) | WR2 | |
| batch(self) | WR2 | |
| batched(self) | WR2 | |
| clone(self) | WR2 | |
| copy_(self, torch.Tensor arg0, bool arg1) | WR2 | |
| defined(self) | WR2 | |
| detach(self) | WR2 | |
| detach_(self) | WR2 | |
| device(self) | WR2 | |
| dexp(self) | WR2 | |
| dim(self) | WR2 | |
| drotate(self, Rot arg0) | WR2 | |
| dtype(self) | WR2 | |
| empty(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| empty(tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| empty_like(WR2 arg0) | WR2 | static |
| exp(self) | WR2 | |
| fill(float x, float y, float z, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| fill(Scalar x, Scalar y, Scalar z) | WR2 | static |
| full(float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| full(tuple[int,...] batch_shape, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| full_like(WR2 other, float fill_value) | WR2 | static |
| grad(self) | WR2 | |
| identity_map(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| item(self) | WR2 | |
| linspace(WR2 start, WR2 end, int nstep, int dim=0) | WR2 | static |
| logspace(WR2 start, WR2 end, int nstep, int dim=0, float base=10.0) | WR2 | static |
| norm(self) | WR2 | |
| norm_sq(self) | WR2 | |
| ones(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| ones(tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| ones_like(WR2 arg0) | WR2 | static |
| requires_grad(self) | WR2 | |
| requires_grad_(self, bool arg0) | WR2 | |
| rotate(self, Rot arg0) | WR2 | |
| shape(self) | WR2 | |
| tensor(self) | WR2 | |
| to(self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | |
| torch(self) | WR2 | |
| torch(self) | WR2 | |
| zero_(self) | WR2 | |
| zeros(*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| zeros(tuple[int,...] batch_shape, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) | WR2 | static |
| zeros_like(WR2 arg0) | WR2 | static |