wehub-resource-sync
76 lines
2.6 KiB
Python
76 lines
2.6 KiB
Python
# Copyright (c) 2023 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 os
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import paddle
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import paddle.distributed as dist
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class TestSemiautoSaveLoad:
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def __init__(self):
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self._ckpt_path = os.getenv("ckpt_path")
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def test_flatten_mapping(self):
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if paddle.distributed.get_rank() == 0:
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state_dict = {
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"model": {
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"a": paddle.to_tensor([1, 2]),
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"b": paddle.to_tensor([3, 4]),
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},
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"optimizer": {
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"c": paddle.to_tensor([5, 6]),
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"d": paddle.to_tensor([7, 8]),
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},
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}
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else:
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state_dict = {
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"model": {
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"a": paddle.to_tensor([10, 20]),
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"b": paddle.to_tensor([30, 40]),
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},
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"optimizer": {
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"c": paddle.to_tensor([50, 60]),
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"d": paddle.to_tensor([70, 80]),
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},
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}
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expected_mapping = {
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"model.a": ("model", "a"),
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"model.b": ("model", "b"),
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"optimizer.c": ("optimizer", "c"),
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"optimizer.d": ("optimizer", "d"),
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}
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dist.save_state_dict(state_dict, self._ckpt_path)
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paddle.distributed.barrier()
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metadata_path = os.path.join(self._ckpt_path, "0.metadata")
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assert os.path.exists(metadata_path)
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metadata = paddle.load(metadata_path)
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assert len(metadata.flat_mapping) == len(expected_mapping), (
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f"expect {len(expected_mapping)}, but got {len(metadata.flat_mapping)}"
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)
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for key in metadata.flat_mapping:
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assert key in expected_mapping, (
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f"expect {key} in flatten_mapping, but not found"
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)
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assert metadata.flat_mapping[key] == expected_mapping[key], (
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f"expect {metadata.flat_mapping[key]} == {expected_mapping[key]}, but not equal"
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)
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def run_test_case(self):
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self.test_flatten_mapping()
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if __name__ == '__main__':
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TestSemiautoSaveLoad().run_test_case()
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