52 lines
1.9 KiB
Python
52 lines
1.9 KiB
Python
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# coding=utf-8
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# Copyright 2023 HuggingFace Inc.
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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 unittest
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from pathlib import Path
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from tempfile import TemporaryDirectory
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from unittest.mock import Mock, patch
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import diffusers.utils.hub_utils
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class CreateModelCardTest(unittest.TestCase):
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@patch("diffusers.utils.hub_utils.get_full_repo_name")
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def test_create_model_card(self, repo_name_mock: Mock) -> None:
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repo_name_mock.return_value = "full_repo_name"
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with TemporaryDirectory() as tmpdir:
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# Dummy args values
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args = Mock()
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args.output_dir = tmpdir
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args.local_rank = 0
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args.hub_token = "hub_token"
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args.dataset_name = "dataset_name"
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args.learning_rate = 0.01
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args.train_batch_size = 100000
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args.eval_batch_size = 10000
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args.gradient_accumulation_steps = 0.01
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args.adam_beta1 = 0.02
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args.adam_beta2 = 0.03
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args.adam_weight_decay = 0.0005
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args.adam_epsilon = 0.000001
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args.lr_scheduler = 1
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args.lr_warmup_steps = 10
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args.ema_inv_gamma = 0.001
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args.ema_power = 0.1
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args.ema_max_decay = 0.2
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args.mixed_precision = True
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# Model card mush be rendered and saved
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diffusers.utils.hub_utils.create_model_card(args, model_name="model_name")
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self.assertTrue((Path(tmpdir) / "README.md").is_file())
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