wehub-resource-sync
110 lines
3.4 KiB
Python
110 lines
3.4 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# The file has been adapted from DeepSeek DeepEP project
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# Copyright (c) 2025 DeepSeek
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# Licensed under the MIT License - https://github.com/deepseek-ai/DeepEP/blob/main/LICENSE
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from __future__ import annotations
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from typing import TYPE_CHECKING, Any
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if TYPE_CHECKING:
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import paddle
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from paddle.base.core import EventHandle
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import paddle
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class EventOverlap:
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"""
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A wrapper class to manage CUDA events, also for better overlapping convenience.
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Attributes:
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event: the CUDA event captured.
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extra_tensors: an easier way to simulate tensor `record_stream`, may be useful with CUDA graph.
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"""
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def __init__(
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self,
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event: EventHandle | None = None,
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extra_tensors: tuple[paddle.Tensor] | None = None,
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) -> None:
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"""
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Initialize the class.
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Arguments:
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event: the CUDA event captured.
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extra_tensors: an easier way to simulate tensor `record_stream`, may be useful with CUDA graph.
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"""
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self.event = event
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# NOTES: we use extra tensors to achieve stream recording, otherwise,
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# stream recording will be incompatible with CUDA graph.
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self.extra_tensors = extra_tensors
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def current_stream_wait(self) -> None:
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"""
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The current stream waits for the event to be finished.
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"""
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assert self.event is not None
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self.event.current_stream_wait()
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def calc_stream_wait(self, group_idx) -> None:
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self.event.calc_stream_wait(group_idx)
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def comm_stream_wait(self, group_idx) -> None:
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self.event.comm_stream_wait(group_idx)
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def __enter__(self) -> Any:
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"""
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Utility for overlapping and Python `with` syntax.
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You can overlap the kernels on the current stream with the following example:
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```python
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event_overlap = event_after_all_to_all_kernels()
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with event_overlap():
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do_something_on_current_stream()
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# After exiting the `with` scope, the current stream with wait the event to be finished.
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```
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"""
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return self
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def __exit__(self, exc_type, exc_val, exc_tb) -> None:
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"""
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Utility for overlapping and Python `with` syntax.
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Please follow the example in the `__enter__` function.
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"""
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if self.event is not None:
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self.event.current_stream_wait()
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def get_event_from_calc_stream(group_id: int) -> EventOverlap:
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return EventOverlap(
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event=paddle.base.core.get_event_handle_from_calc_stream(group_id)
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)
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def get_event_from_comm_stream(group_id: int) -> EventOverlap:
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return EventOverlap(
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event=paddle.base.core.get_event_handle_from_comm_stream(group_id)
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)
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def get_event_from_custom_stream(stream) -> EventOverlap:
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return EventOverlap(
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event=paddle.base.core.get_event_handle_from_custom_stream(stream)
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)
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