modules/npu_specific.py

# import importlib
# import torch
#
# from modules import shared
#
#
# def check_for_npu():
#     if importlib.util.find_spec("torch_npu") is None:
#         return False
#     import torch_npu
#
#     try:
#         # Will raise a RuntimeError if no NPU is found
#         _ = torch_npu.npu.device_count()
#         return torch.npu.is_available()
#     except RuntimeError:
#         return False
#
#
# def get_npu_device_string():
#     if shared.cmd_opts.device_id is not None:
#         return f"npu:{shared.cmd_opts.device_id}"
#     return "npu:0"
#
#
# def torch_npu_gc():
#     with torch.npu.device(get_npu_device_string()):
#         torch.npu.empty_cache()
#
#
# has_npu = check_for_npu()