60 lines
1.5 KiB
Python
60 lines
1.5 KiB
Python
from .interface import Platform, PlatformEnum, UnspecifiedPlatform
|
|
|
|
current_platform: Platform
|
|
|
|
# NOTE: we don't use `torch.version.cuda` / `torch.version.hip` because
|
|
# they only indicate the build configuration, not the runtime environment.
|
|
# For example, people can install a cuda build of pytorch but run on tpu.
|
|
|
|
is_tpu = False
|
|
try:
|
|
# While it's technically possible to install libtpu on a non-TPU machine,
|
|
# this is a very uncommon scenario. Therefore, we assume that libtpu is
|
|
# installed if and only if the machine has TPUs.
|
|
import libtpu # noqa: F401
|
|
is_tpu = True
|
|
except Exception:
|
|
pass
|
|
|
|
is_cuda = False
|
|
|
|
try:
|
|
import pynvml
|
|
pynvml.nvmlInit()
|
|
try:
|
|
if pynvml.nvmlDeviceGetCount() > 0:
|
|
is_cuda = True
|
|
finally:
|
|
pynvml.nvmlShutdown()
|
|
except Exception:
|
|
pass
|
|
|
|
is_rocm = False
|
|
|
|
try:
|
|
import amdsmi
|
|
amdsmi.amdsmi_init()
|
|
try:
|
|
if len(amdsmi.amdsmi_get_processor_handles()) > 0:
|
|
is_rocm = True
|
|
finally:
|
|
amdsmi.amdsmi_shut_down()
|
|
except Exception:
|
|
pass
|
|
|
|
if is_tpu:
|
|
# people might install pytorch built with cuda but run on tpu
|
|
# so we need to check tpu first
|
|
from .tpu import TpuPlatform
|
|
current_platform = TpuPlatform()
|
|
elif is_cuda:
|
|
from .cuda import CudaPlatform
|
|
current_platform = CudaPlatform()
|
|
elif is_rocm:
|
|
from .rocm import RocmPlatform
|
|
current_platform = RocmPlatform()
|
|
else:
|
|
current_platform = UnspecifiedPlatform()
|
|
|
|
__all__ = ['Platform', 'PlatformEnum', 'current_platform']
|