| | |
| | 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' |
| |
|
