51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
# Copyright (c) 2022 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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import contextlib
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import paddle
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from .batch_sampler import *
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from .env import CONFIG_NAME, GENERATION_CONFIG_NAME, LEGACY_CONFIG_NAME
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from .import_utils import *
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from .infohub import infohub
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from .initializer import to
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from .log import logger
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from .memory_utils import empty_device_cache
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try:
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from .optimizer import *
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except:
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logger.info("Not support custom optimizer")
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from .paddle_patch import *
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from .serialization import load_torch
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# hack impl for EagerParamBase to function
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# https://github.com/PaddlePaddle/Paddle/blob/fa44ea5cf2988cd28605aedfb5f2002a63018df7/python/paddle/nn/layer/layers.py#L2077
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paddle.framework.io.EagerParamBase.to = to
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@contextlib.contextmanager
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def device_guard(device="cpu", dev_id=0):
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origin_device = paddle.device.get_device()
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if device == "cpu":
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paddle.set_device(device)
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elif device in ["gpu", "xpu", "npu"]:
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paddle.set_device("{}:{}".format(device, dev_id))
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try:
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yield
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finally:
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paddle.set_device(origin_device)
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