(n, p)
| 24 | n, p): return p.ndim < 2 or "bn" in n or "ln" in n or "bias" in n or 'logit_scale' in n |
| 25 | |
| 26 | def include(n, p): return not exclude(n, p) |
| 27 | |
| 28 | named_parameters = list(model.named_parameters()) |
| 29 | # we create three optimizer for image encode, text encoder, and jointly part |
no test coverage detected