svlqd
8f41105e4b
- added logging in UI - added switcher for models, batch size etc. - added device configuration dataclass - minor improvements in audio transcription
33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
import torch
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from dataclasses import dataclass
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import logging
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def check_torch(logger: logging.Logger) -> None:
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logger.info("=== Checking PyTorch ===")
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logger.info(f"Torch version: {torch.__version__}")
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# === NVIDIA / AMD (CUDA API) ===
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if torch.cuda.is_available():
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backend = "CUDA"
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if torch.version.hip is not None:
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backend = "ROCm (AMD HIP)"
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logger.info(f"{backend} backend is available")
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logger.info(f"Compiled with: CUDA {torch.version.cuda}, ROCm {torch.version.hip}")
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logger.info(f"Number of devices: {torch.cuda.device_count()}")
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for i in range(torch.cuda.device_count()):
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logger.info(f"GPU {i}: {torch.cuda.get_device_name(i)}")
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# === Apple Silicon (MPS) ===
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elif hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
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logger.info("MPS backend is available (Apple Silicon)")
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logger.info(f"MPS version: {getattr(torch.backends.mps, '__version__', 'unknown')}")
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logger.info("GPU: Apple Silicon (Metal)")
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# === CPU only mode ===
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else:
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logger.info("Only CPU is available")
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logger.info("=== Check completed ===")
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