T3Weights.allclose

t3toolbox.tucker_tensor_train.T3Weights.allclose(other, rtol=None, atol=None)

def allclose(
        self,
        other: 'T3Weights',

        rtol:  typ.Optional[float] = None,  # None: the ambient jax-aware default (safety.comparison_rtol)
        atol:  typ.Optional[float] = None,  # None: 0.0
) -> NDArray:  # bool, shape=stack_shape (0-d unstacked); reduce with .all()

True where the edge-weight vectors are numerically equal, per stack element: ||self - other|| <= atol + rtol * max(||self||, ||other||) over the concatenated edge vectors (the weights ARE the mathematical object). Structural mismatches raise. Bitwise: corewise_equal(); == is intentionally not defined – say which you mean.

Parameters:

• other (T3Weights)

• rtol (Optional[float])

• atol (Optional[float])

Return type:

NDArray