def map_location(storage: torch.Storage, location) -> torch.Storage:
"""
Args:
storage (torch.Storage) : the initial deserialization of the
storage of the data read by `torch.load`, residing on the CPU.
location (str): tag identifiying the location the data being read
by `torch.load` was originally saved from.
Returns:
torch.Storage : the storage
"""
xpu = xpu_device.XPU(gpu_num)
if xpu.is_gpu():
return storage.cuda(xpu.num)
else:
return storage
def inner_device_mapping(storage: torch.Storage, location) -> torch.Storage: # pylint: disable=unused-argument
if cuda_device >= 0:
return storage.cuda(cuda_device)
else:
return storage
def inner_device_mapping(storage: torch.Storage, location) -> torch.Storage: # pylint: disable=unused-argument
if cuda_device >= 0:
return storage.cuda(cuda_device)
else:
return storage
def inner_device_mapping(storage: torch.Storage,
location) -> torch.Storage:
if cuda_device >= 0:
return storage.cuda(cuda_device)
else:
return storage