parler_tts/modeling_parler_tts.py [2796:2808]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                if prompt_attention_mask is not None and attention_mask is None:
                    attention_mask = torch.ones(
                        encoder_hidden_states.shape[:2], device=self.device, dtype=prompt_attention_mask.dtype
                    )
                elif attention_mask is not None and prompt_attention_mask is None:
                    prompt_attention_mask = torch.ones(
                        prompt_hidden_states.shape[:2], device=self.device, dtype=attention_mask.dtype
                    )

                # concatenate text description states with prompt description states
                encoder_hidden_states = torch.cat([encoder_hidden_states, prompt_hidden_states], dim=1)
                if prompt_attention_mask is not None:
                    attention_mask = torch.cat([attention_mask, prompt_attention_mask], dim=1)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



parler_tts/modeling_parler_tts.py [3111:3123]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
            if prompt_attention_mask is not None and attention_mask is None:
                attention_mask = torch.ones(
                    encoder_hidden_states.shape[:2], device=self.device, dtype=prompt_attention_mask.dtype
                )
            elif attention_mask is not None and prompt_attention_mask is None:
                prompt_attention_mask = torch.ones(
                    prompt_hidden_states.shape[:2], device=self.device, dtype=attention_mask.dtype
                )

            # concatenate text description states with prompt description states
            encoder_hidden_states = torch.cat([encoder_hidden_states, prompt_hidden_states], dim=1)
            if prompt_attention_mask is not None:
                attention_mask = torch.cat([attention_mask, prompt_attention_mask], dim=1)
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -