| |
| from typing import Optional |
|
|
| import torch |
|
|
|
|
| def get_max_cuda_memory(device: Optional[torch.device] = None) -> int: |
| """Returns the maximum GPU memory occupied by tensors in megabytes (MB) for |
| a given device. By default, this returns the peak allocated memory since |
| the beginning of this program. |
| |
| Args: |
| device (torch.device, optional): selected device. Returns |
| statistic for the current device, given by |
| :func:`~torch.cuda.current_device`, if ``device`` is None. |
| Defaults to None. |
| |
| Returns: |
| int: The maximum GPU memory occupied by tensors in megabytes |
| for a given device. |
| """ |
| mem = torch.cuda.max_memory_allocated(device=device) |
| mem_mb = torch.tensor([int(mem) // (1024 * 1024)], |
| dtype=torch.int, |
| device=device) |
| torch.cuda.reset_peak_memory_stats() |
| return int(mem_mb.item()) |
|
|
|
|
| def is_cuda_available() -> bool: |
| """Returns True if cuda devices exist.""" |
| return torch.cuda.is_available() |
|
|
|
|
| def is_npu_available() -> bool: |
| """Returns True if Ascend PyTorch and npu devices exist.""" |
| try: |
| import torch_npu |
| except Exception: |
| return False |
| return hasattr(torch, 'npu') and torch.npu.is_available() |
|
|
|
|
| def is_mlu_available() -> bool: |
| """Returns True if Cambricon PyTorch and mlu devices exist.""" |
| return hasattr(torch, 'is_mlu_available') and torch.is_mlu_available() |
|
|
|
|
| def is_mps_available() -> bool: |
| """Return True if mps devices exist. |
| |
| It's specialized for mac m1 chips and require torch version 1.12 or higher. |
| """ |
| return hasattr(torch.backends, 'mps') and torch.backends.mps.is_available() |
|
|
|
|
| def get_device() -> str: |
| """Returns the currently existing device type. |
| |
| Returns: |
| str: cuda | npu | mlu | mps | cpu. |
| """ |
| if is_npu_available(): |
| return 'npu' |
| elif is_cuda_available(): |
| return 'cuda' |
| elif is_mlu_available(): |
| return 'mlu' |
| elif is_mps_available(): |
| return 'mps' |
| else: |
| return 'cpu' |
|
|
