ufv_load#
- t3toolbox.backend.ufv_operations.ufv_load(file, use_jax=False)#
def ufv_load(file, use_jax: bool = False): # -> (*supercores, shape, masks)
Load a bv
.datatuple saved byufv_save(). The supercores followuse_jax; the masks always come back numpy (host) bool (a jax mask is a tracer under jit). The caller wraps the returned tuple into the OO class (the supercore count is fixed per class).- Parameters:
use_jax (bool)