(self, model, x, batch_size=None, verbose=0, steps=None,
callbacks=None, max_queue_size=10, workers=1,
use_multiprocessing=False, **kwargs)
| 469 | use_multiprocessing=use_multiprocessing, **kwargs) |
| 470 | |
| 471 | def predict(self, model, x, batch_size=None, verbose=0, steps=None, |
| 472 | callbacks=None, max_queue_size=10, workers=1, |
| 473 | use_multiprocessing=False, **kwargs): |
| 474 | return self._model_iteration( |
| 475 | model, ModeKeys.PREDICT, x=x, batch_size=batch_size, verbose=verbose, |
| 476 | steps=steps, callbacks=callbacks, max_queue_size=max_queue_size, |
| 477 | workers=workers, use_multiprocessing=use_multiprocessing, **kwargs) |
| 478 | |
| 479 | |
| 480 | def _get_distribution_strategy(model): |
nothing calls this directly
no test coverage detected