44 lines
981 B
Python
44 lines
981 B
Python
from typing import Union
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import random
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import numpy as np
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import psutil
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import torch
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_STR_DTYPE_TO_TORCH_DTYPE = {
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'half': torch.half,
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'float': torch.float,
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'float16': torch.float16,
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'float32': torch.float32,
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}
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def get_torch_dtype(dtype: Union[torch.dtype, str]) -> torch.dtype:
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if isinstance(dtype, str):
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torch_dtype = _STR_DTYPE_TO_TORCH_DTYPE[dtype.lower()]
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else:
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torch_dtype = dtype
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return torch_dtype
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def get_dtype_size(dtype: Union[torch.dtype, str]) -> int:
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torch_dtype = get_torch_dtype(dtype)
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return torch.tensor([], dtype=torch_dtype).element_size()
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def set_seed(seed: int) -> None:
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random.seed(seed)
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np.random.seed(seed)
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torch.manual_seed(seed)
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if torch.cuda.is_available():
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torch.cuda.manual_seed_all(seed)
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def get_gpu_memory(gpu: int = 0) -> int:
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return torch.cuda.get_device_properties(gpu).total_memory
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def get_cpu_memory() -> int:
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return psutil.virtual_memory().total
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