58 lines
1.3 KiB
Python
58 lines
1.3 KiB
Python
from .interface import Platform, PlatformEnum, UnspecifiedPlatform
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current_platform: Platform
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# NOTE: we don't use `torch.version.cuda` / `torch.version.hip` because
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# they only indicate the build configuration, not the runtime environment.
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# For example, people can install a cuda build of pytorch but run on tpu.
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is_tpu = False
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try:
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import torch_xla.core.xla_model as xm
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xm.xla_device(devkind="TPU")
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is_tpu = True
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except Exception:
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pass
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is_cuda = False
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try:
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import pynvml
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pynvml.nvmlInit()
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try:
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if pynvml.nvmlDeviceGetCount() > 0:
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is_cuda = True
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finally:
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pynvml.nvmlShutdown()
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except Exception:
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pass
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is_rocm = False
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try:
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import amdsmi
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amdsmi.amdsmi_init()
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try:
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if len(amdsmi.amdsmi_get_processor_handles()) > 0:
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is_rocm = True
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finally:
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amdsmi.amdsmi_shut_down()
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except Exception:
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pass
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if is_tpu:
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# people might install pytorch built with cuda but run on tpu
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# so we need to check tpu first
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from .tpu import TpuPlatform
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current_platform = TpuPlatform()
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elif is_cuda:
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from .cuda import CudaPlatform
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current_platform = CudaPlatform()
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elif is_rocm:
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from .rocm import RocmPlatform
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current_platform = RocmPlatform()
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else:
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current_platform = UnspecifiedPlatform()
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__all__ = ['Platform', 'PlatformEnum', 'current_platform']
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