| 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 | |
| result = self.classify(images[i]) | |
| File "c:\Users\User\Desktop\debugrem\clawd-one-and-only-one-shot\hippocampaif\agent\mnist_agent.py", line 106, in classify | |
| result = self.classifier.classify(image, features=features) | |
| 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 101, in optimize | |
| dD_du, dD_dv = canvas.compute_color_gradient( | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ | |
| level_img1, level_img2, u, v | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| ) | |
| ^ | |
| File "c:\Users\User\Desktop\debugrem\clawd-one-and-only-one-shot\hippocampaif\learning\distortable_canvas.py", line 175, in compute_color_gradient | |
| grad_y, grad_x = np.gradient(warped) | |
| ~~~~~~~~~~~^^^^^^^^ | |
| File "C:\Users\User\Desktop\debugrem\clawd-one-and-only-one-shot\.venv\Lib\site-packages\numpy\lib\_function_base_impl.py", line 1313, in gradient | |
| out[tuple(slice1)] = (f[tuple(slice4)] - f[tuple(slice2)]) / (2. * ax_dx) | |
| ~~~~~^^^^^^^^ | |
| KeyboardInterrupt | |