Method __call__

evaluation/vqlm_demo/inference.py:161–168

(self, input_images, n_new_frames, n_candidates, temperature=1.0, top_p=1.0)

        return new_images

    def __call__(self, input_images, n_new_frames, n_candidates, temperature=1.0, top_p=1.0):
        output = []
        for seq in input_images:
            output.append(
                [self.generate_once(seq, n_new_frames, temperature, top_p)
                 for _ in range(n_candidates)]
            )
        return output


class MultiProcessInferenceModel(InferenceModel):