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Transcribe on GPU #2329

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Transcribe on GPU #2329

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2448c6f
Transcribe on GPU
take0x Sep 9, 2024
834662c
Merge branch 'main' into transcribe-on-gpu
take0x Sep 10, 2024
c1031a5
Add mel_spectrogram_device parameter
take0x Sep 22, 2024
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8 changes: 7 additions & 1 deletion whisper/transcribe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,6 +51,7 @@ def transcribe(
append_punctuations: str = "\"'.。,，!！?？:：”)]}、",
clip_timestamps: Union[str, List[float]] = "0",
hallucination_silence_threshold: Optional[float] = None,
mel_spectrogram_device: Optional[Union[str, torch.device]] = None,
**decode_options,
):
"""
Expand Down Expand Up @@ -113,6 +114,9 @@ def transcribe(
When word_timestamps is True, skip silent periods longer than this threshold (in seconds)
when a possible hallucination is detected

mel_spectrogram_device: Optional[Union[str, torch.device]]
If given, the audio tensor is moved to this device before STFT

Returns
-------
A dictionary containing the resulting text ("text") and segment-level details ("segments"), and
Expand All @@ -130,7 +134,9 @@ def transcribe(
decode_options["fp16"] = False

# Pad 30-seconds of silence to the input audio, for slicing
mel = log_mel_spectrogram(audio, model.dims.n_mels, padding=N_SAMPLES)
mel = log_mel_spectrogram(
audio, model.dims.n_mels, padding=N_SAMPLES, device=mel_spectrogram_device
)
content_frames = mel.shape[-1] - N_FRAMES
content_duration = float(content_frames * HOP_LENGTH / SAMPLE_RATE)

Expand Down