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Would be nice to have a matmul function in the quaternion library. I'm willing to implement and emulate the existing style in the quaternion library.
Something like:
def matmul(quaternion1: type_alias.TensorLike,
quaternion2: type_alias.TensorLike,
name: str = "quaternion_matmul"
) -> tf.Tensor:
"""Multiplies matrices of quaternions.
Note:
In the following, A1 to An are optional batch dimensions.
Args:
quaternion1: A tensor of shape `[A1, ..., An, M1, M2, 4]`, where M1 and M2 are the matrix dimensions, and the last dimension
represents a quaternion.
quaternion2: A tensor of shape `[A1, ..., An, M2, M3, 4]`, where M2 and M3 are the matrix dimensions, and the last dimension
represents a quaternion.
name: A name for this op that defaults to "quaternion_matmul".
Returns:
A tensor of shape `[A1, ..., An, M1, M3, 4]` representing matrices of quaternions.
Raises:
ValueError: If the shape of `quaternion1` or `quaternion2` is not supported.
"""
Activity
csbrown commentedon Sep 5, 2022
Any support for this?