| Traceback (most recent call last): | |
| File "c:\Users\User\Desktop\debugrem\clawd-one-and-only-one-shot\run_mnist_eval.py", line 70, in <module> | |
| evaluate_mnist() | |
| ~~~~~~~~~~~~~~^^ | |
| File "c:\Users\User\Desktop\debugrem\clawd-one-and-only-one-shot\run_mnist_eval.py", line 55, in evaluate_mnist | |
| stats = agent.evaluate(test_images, test_labels) | |
| File "c:\Users\User\Desktop\debugrem\clawd-one-and-only-one-shot\hippocampaif\agent\mnist_agent.py", line 134, in evaluate | |
| File "c:\Users\User\Desktop\debugrem\clawd-one-and-only-one-shot\hippocampaif\agent\mnist_agent.py", line 106, in classify | |
| File "c:\Users\User\Desktop\debugrem\clawd-one-and-only-one-shot\hippocampaif\learning\one_shot_classifier.py", line 145, in classify | |
| opt_result = self.amgd.optimize( | |
| image, exemplar['image'], self.canvas | |
| ) | |
| File "c:\Users\User\Desktop\debugrem\clawd-one-and-only-one-shot\hippocampaif\learning\amgd.py", line 104, in optimize | |
| dC_du, dC_dv = canvas.compute_canvas_gradient(u, v) | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^ | |
| File "c:\Users\User\Desktop\debugrem\clawd-one-and-only-one-shot\hippocampaif\learning\distortable_canvas.py", line 183, in compute_canvas_gradient | |
| def compute_canvas_gradient(self, u: np.ndarray, v: np.ndarray) -> tuple[np.ndarray, np.ndarray]: | |
| KeyboardInterrupt | |