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jax.numpy.matmul fails because the shape of vectors doesn't include their components.
jax.numpy.matmul
import coordinax as cx q2 = cx.CartesianPos3D.from_([[0.0, 0, 0], [1, 1, 1]], "kpc") q2.shape # (2,)
So
import quaxed.numpy as jnp rot = jnp.asarray([[0., -1, 0], [1, 0, 0], [0, 0, 1]) jnp.matmul(rot, q2) # TypeError: dot_general requires contracting dimensions to have the same shape, got (3,) and (2,).
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jax.numpy.matmul
fails because the shape of vectors doesn't include their components.So
The text was updated successfully, but these errors were encountered: