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Update magpie backend to use LT and attention prior #1208

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Update magpie backend to use LT and attention prior #1208

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40 changes: 23 additions & 17 deletions recipes/multimodal/server/backends/magpie_tts_backend.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
import shutil
import tempfile
import time
from dataclasses import dataclass
from dataclasses import dataclass, fields
from typing import Any, Dict, List, Optional, Set

import soundfile as sf
Expand All @@ -22,12 +22,13 @@
@dataclass
class MagpieTTSConfig(BackendConfig):
codec_model_path: Optional[str] = None
top_k: int = 80
temperature: float = 0.6
max_decoder_steps: Optional[int] = None
temperature: Optional[float] = None
top_k: Optional[int] = None
cfg_scale: Optional[float] = None
use_cfg: bool = True
cfg_scale: float = 2.5
max_decoder_steps: int = 440
use_local_transformer: bool = False
use_local_transformer: bool = True
apply_attention_prior: bool = True
output_sample_rate: int = 22050
# Checkpoint loading options (alternative to model_path .nemo file)
hparams_file: Optional[str] = None
Expand Down Expand Up @@ -140,6 +141,7 @@ def _load_fsspec_patched(path: str, map_location: str = None, **kwargs):
except Exception:
pass

from nemo.collections.tts.models.magpietts import ModelInferenceParameters
from nemo.collections.tts.modules.magpietts_inference.inference import InferenceConfig, MagpieInferenceRunner
from nemo.collections.tts.modules.magpietts_inference.utils import ModelLoadConfig, load_magpie_model

Expand All @@ -166,19 +168,23 @@ def _load_fsspec_patched(path: str, map_location: str = None, **kwargs):
)
self._model, self._checkpoint_name = load_magpie_model(cfg, device=self.config.device)

self._runner = MagpieInferenceRunner(
self._model,
InferenceConfig(
temperature=self.tts_config.temperature,
topk=self.tts_config.top_k,
max_decoder_steps=self.tts_config.max_decoder_steps,
use_cfg=self.tts_config.use_cfg,
cfg_scale=self.tts_config.cfg_scale,
use_local_transformer=self.tts_config.use_local_transformer,
batch_size=16,
),
# Merge args from MagpieTTSConfig into InferenceConfig
model_inference_parameters = {}
for field in fields(ModelInferenceParameters):
field = field.name
override_arg = getattr(self.tts, field)
if override_arg is not None:
model_inference_parameters[field] = override_arg
inference_config = InferenceConfig(
model_inference_parameters=ModelInferenceParameters.from_dict(model_inference_parameters),
batch_size=16,
use_cfg=self.tts_config.use_cfg,
use_local_transformer=self.tts_config.use_local_transformer,
apply_attention_prior=self.tts_config.apply_attention_prior,
)

self._runner = MagpieInferenceRunner(self._model, inference_config)

self._temp_dir = tempfile.mkdtemp(prefix="magpie_tts_")
self.tts_config.output_sample_rate = self._model.sample_rate
self._is_loaded = True
Expand Down
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