Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Add experimental MPS device support for ASR inference #6289

Merged
merged 1 commit into from
Mar 24, 2023
Merged

Add experimental MPS device support for ASR inference #6289

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 15 additions & 2 deletions examples/asr/transcribe_speech.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -60,6 +60,7 @@
batch_size: batch size during inference

cuda: Optional int to enable or disable execution of model on certain CUDA device.
allow_mps: Bool to allow using MPS (Apple Silicon M-series GPU) device if available
amp: Bool to decide if Automatic Mixed Precision should be used during inference
audio_type: Str filetype of the audio. Supported = wav, flac, mp3

Expand Down Expand Up @@ -129,6 +130,7 @@ class TranscriptionConfig:
# device anyway, and do inference on CPU only if CUDA device is not found.
# If `cuda` is a negative number, inference will be on CPU only.
cuda: Optional[int] = None
allow_mps: bool = False # allow to select MPS device (Apple Silicon M-series GPU)
amp: bool = False
audio_type: str = "wav"

Expand Down Expand Up @@ -175,14 +177,25 @@ def main(cfg: TranscriptionConfig) -> TranscriptionConfig:
if torch.cuda.is_available():
device = [0] # use 0th CUDA device
accelerator = 'gpu'
map_location = torch.device('cuda:0')
elif cfg.allow_mps and hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
logging.warning(
"MPS device (Apple Silicon M-series GPU) support is experimental."
" Env variable `PYTORCH_ENABLE_MPS_FALLBACK=1` should be set in most cases to avoid failures."
)
device = [0]
accelerator = 'mps'
map_location = torch.device('mps')
else:
device = 1
accelerator = 'cpu'
map_location = torch.device('cpu')
else:
device = [cfg.cuda]
accelerator = 'gpu'
map_location = torch.device('cuda:{}'.format(device[0]) if accelerator == 'gpu' else 'cpu')
logging.info(f"Inference will be done on device : {device}")
map_location = torch.device(f'cuda:{cfg.cuda}')

logging.info(f"Inference will be done on device: {map_location}")

asr_model, model_name = setup_model(cfg, map_location)

Expand Down