if norm < _epsilon: raise ValueError('Norm of (x, y, z) part of quaternion too close to zero') value[1:4] = value[1:4] / norm * needed_norm # assert abs(np.linalg.norm(value) - 1.0) < _epsilon elif key == 'scal
q1=quaternionic.array(np.random.rand(100,4)).normalizedm=q1.to_rotation_matrix to obtain the matrixmfroma quaternionic arrayq1. (Here,mis actually a series of 100 3x3 matrices corresponding to the 100 quaternions inq1.) On the other hand, to obtain a quaternionic array from some matrixm...
def random_quat(rand=None): """Return uniform random unit quaternion. rand: array like or None Three independent random variables that are uniformly distributed between 0 and 1. >>> q = random_quat() >>> np.allclose(1.0, vector_norm(q)) True >>> q = random_quat(np.random.random(...
System Info Ubuntu 18.04.6 transformers version : 4.18.0 pytorch version : 2.0.0 numpy version : 1.24.3 conda env Who can help? @sgugger Information The official example scripts My own modified scripts Tasks An officially supported task in theexamplesfolder (such as GLUE/SQuAD, ...) ...