Coverage for / home / jenkins / .local / lib / python3.10 / site-packages / hyper_parallel / auto_parallel / hyper_offload / __init__.py: 100%
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« prev ^ index » next coverage.py v7.13.1, created at 2026-07-06 05:41 +0800
« prev ^ index » next coverage.py v7.13.1, created at 2026-07-06 05:41 +0800
1# Copyright 2026 Huawei Technologies Co., Ltd
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ============================================================================
15"""hyper-offload: Asynchronous activation offloading for PyTorch.
17Reduces Device memory usage by streaming intermediate activations to
18pinned CPU memory during training, with an automatic prefetch
19schedule to hide transfer latency.
20"""
22# Ensure ``torch.accelerator`` is available (monkey-patch for PyTorch < 2.6).
23# This must be imported before any module that references ``torch.accelerator``.
24from . import _patch_accelerator
26from .api.config import OffloadConfig
27from .api.opaque import skip_offload
28from .api.session import OffloadSession
30__all__ = [
31 "OffloadConfig",
32 "OffloadSession",
33 "skip_offload",
34]