158 lines
3.4 KiB
Python
158 lines
3.4 KiB
Python
r"""
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This package implements abstractions found in ``torch.cuda``
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to facilitate writing device-agnostic code.
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"""
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from contextlib import AbstractContextManager
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from typing import Any, Optional, Union
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import torch
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from .. import device as _device
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from . import amp
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__all__ = [
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"is_available",
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"synchronize",
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"current_device",
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"current_stream",
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"stream",
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"set_device",
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"device_count",
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"Stream",
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"StreamContext",
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"Event",
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]
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_device_t = Union[_device, str, int, None]
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def _is_cpu_support_vnni() -> bool:
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r"""Returns a bool indicating if CPU supports VNNI."""
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return torch._C._cpu._is_cpu_support_vnni()
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def is_available() -> bool:
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r"""Returns a bool indicating if CPU is currently available.
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N.B. This function only exists to facilitate device-agnostic code
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"""
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return True
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def synchronize(device: _device_t = None) -> None:
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r"""Waits for all kernels in all streams on the CPU device to complete.
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Args:
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device (torch.device or int, optional): ignored, there's only one CPU device.
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N.B. This function only exists to facilitate device-agnostic code.
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"""
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pass
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class Stream:
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"""
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N.B. This class only exists to facilitate device-agnostic code
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"""
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def __init__(self, priority: int = -1):
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pass
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def wait_stream(self, stream) -> None:
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pass
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class Event:
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def query(self) -> bool:
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return True
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def record(self, stream=None):
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pass
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def synchronize(self):
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pass
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def wait(self, stream=None):
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pass
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_default_cpu_stream = Stream()
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_current_stream = _default_cpu_stream
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def current_stream(device: _device_t = None) -> Stream:
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r"""Returns the currently selected :class:`Stream` for a given device.
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Args:
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device (torch.device or int, optional): Ignored.
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N.B. This function only exists to facilitate device-agnostic code
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"""
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return _current_stream
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class StreamContext(AbstractContextManager):
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r"""Context-manager that selects a given stream.
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N.B. This class only exists to facilitate device-agnostic code
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"""
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cur_stream: Optional[Stream]
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def __init__(self, stream):
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self.stream = stream
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self.prev_stream = _default_cpu_stream
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def __enter__(self):
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cur_stream = self.stream
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if cur_stream is None:
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return
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global _current_stream
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self.prev_stream = _current_stream
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_current_stream = cur_stream
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def __exit__(self, type: Any, value: Any, traceback: Any):
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cur_stream = self.stream
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if cur_stream is None:
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return
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global _current_stream
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_current_stream = self.prev_stream
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def stream(stream: Stream) -> AbstractContextManager:
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r"""Wrapper around the Context-manager StreamContext that
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selects a given stream.
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N.B. This function only exists to facilitate device-agnostic code
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"""
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return StreamContext(stream)
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def device_count() -> int:
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r"""Returns number of CPU devices (not cores). Always 1.
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N.B. This function only exists to facilitate device-agnostic code
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"""
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return 1
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def set_device(device: _device_t) -> None:
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r"""Sets the current device, in CPU we do nothing.
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N.B. This function only exists to facilitate device-agnostic code
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"""
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pass
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def current_device() -> str:
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r"""Returns current device for cpu. Always 'cpu'.
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N.B. This function only exists to facilitate device-agnostic code
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"""
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return "cpu"
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