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52 lines
1.4 KiB
Python
52 lines
1.4 KiB
Python
import os
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import torch
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import torch.distributed as dist
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def maybe_setup_tensorflow():
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"""
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Try to import TensorFlow and disable GPU devices if TensorFlow is available.
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This function checks if TensorFlow is installed and, if so, disables GPU devices used by TensorFlow to avoid conflicts with PyTorch.
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Returns:
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None
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"""
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try:
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import tensorflow as tf
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except ImportError:
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pass
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else:
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tf.config.set_visible_devices([], "GPU") # disable tf gpu
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def setup_and_get_device(tf_ok: bool = True) -> torch.device:
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"""
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Set up the distributed environment and get the appropriate torch device.
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This function sets up the distributed environment using PyTorch's `dist.init_process_group` and retrieves the appropriate torch device based on GPU availability and local rank.
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Args:
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tf_ok (bool, optional): Whether to run `maybe_setup_tensorflow` to disable TensorFlow GPU devices. Defaults to True.
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Returns:
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torch.device: The torch device for the current process.
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"""
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if tf_ok:
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maybe_setup_tensorflow()
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device = torch.device("cpu")
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backend = "gloo"
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if torch.cuda.is_available():
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rank = os.environ["LOCAL_RANK"]
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device = torch.device(f"cuda:{rank}")
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backend = "nccl"
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torch.cuda.set_device(device)
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if not torch.distributed.is_initialized():
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dist.init_process_group(backend)
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return device
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