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Add MPS backend auto-detection to local smart-turn v2

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Kwindla Hultman Kramer
2025-07-20 20:18:45 -04:00
parent d4e33663b2
commit b20d020bea
1 changed files with 6 additions and 2 deletions
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8
src/pipecat/audio/turn/smart_turn/local_smart_turn_v2.py
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@@ -62,8 +62,12 @@ class LocalSmartTurnAnalyzerV2(BaseSmartTurn):
self._turn_model = _Wav2Vec2ForEndpointing.from_pretrained(smart_turn_model_path)
# Load the corresponding feature extractor for preprocessing audio
self._turn_processor = Wav2Vec2Processor.from_pretrained(smart_turn_model_path)
# Set device to GPU if available, else CPU
self._device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
# Use platform-optimized backend if available (MPS for Apple silicon, CUDA for NVIDIA)
self._device = "cpu"
if torch.backends.mps.is_available():
self._device = "mps"
elif torch.cuda.is_available():
self._device = "cuda"
# Move model to selected device and set it to evaluation mode
self._turn_model = self._turn_model.to(self._device)
self._turn_model.eval()