57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
# Copyright 2024 The HuggingFace Inc. team. 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 pytest
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import torch
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from lerobot.common.constants import (
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OPTIMIZER_PARAM_GROUPS,
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OPTIMIZER_STATE,
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)
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from lerobot.common.optim.optimizers import (
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AdamConfig,
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AdamWConfig,
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SGDConfig,
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load_optimizer_state,
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save_optimizer_state,
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)
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@pytest.mark.parametrize(
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"config_cls, expected_class",
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[
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(AdamConfig, torch.optim.Adam),
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(AdamWConfig, torch.optim.AdamW),
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(SGDConfig, torch.optim.SGD),
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],
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)
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def test_optimizer_build(config_cls, expected_class, model_params):
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config = config_cls()
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optimizer = config.build(model_params)
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assert isinstance(optimizer, expected_class)
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assert optimizer.defaults["lr"] == config.lr
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def test_save_optimizer_state(optimizer, tmp_path):
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save_optimizer_state(optimizer, tmp_path)
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assert (tmp_path / OPTIMIZER_STATE).is_file()
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assert (tmp_path / OPTIMIZER_PARAM_GROUPS).is_file()
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def test_save_and_load_optimizer_state(model_params, optimizer, tmp_path):
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save_optimizer_state(optimizer, tmp_path)
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loaded_optimizer = AdamConfig().build(model_params)
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loaded_optimizer = load_optimizer_state(loaded_optimizer, tmp_path)
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torch.testing.assert_close(optimizer.state_dict(), loaded_optimizer.state_dict())
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