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https://github.com/kohya-ss/sd-scripts.git
synced 2026-04-08 14:34:23 +00:00
feat: add more workaround for 'gated repo' error on github actions
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@@ -61,7 +61,7 @@ def test_load_target_model(lumina_trainer, mock_args, mock_accelerator):
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with (
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with (
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patch("library.lumina_util.load_lumina_model") as mock_load_lumina_model,
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patch("library.lumina_util.load_lumina_model") as mock_load_lumina_model,
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patch("library.lumina_util.load_gemma2") as mock_load_gemma2,
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patch("library.lumina_util.load_gemma2") as mock_load_gemma2,
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patch("library.lumina_util.load_ae") as mock_load_ae
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patch("library.lumina_util.load_ae") as mock_load_ae,
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):
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):
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# Create mock models
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# Create mock models
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mock_model = MagicMock(spec=lumina_models.NextDiT)
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mock_model = MagicMock(spec=lumina_models.NextDiT)
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@@ -90,8 +90,12 @@ def test_load_target_model(lumina_trainer, mock_args, mock_accelerator):
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def test_get_strategies(lumina_trainer, mock_args):
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def test_get_strategies(lumina_trainer, mock_args):
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# Test tokenize strategy
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# Test tokenize strategy
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tokenize_strategy = lumina_trainer.get_tokenize_strategy(mock_args)
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try:
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assert tokenize_strategy.__class__.__name__ == "LuminaTokenizeStrategy"
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tokenize_strategy = lumina_trainer.get_tokenize_strategy(mock_args)
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assert tokenize_strategy.__class__.__name__ == "LuminaTokenizeStrategy"
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except OSError as e:
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# If the tokenizer is not found (due to gated repo), we can skip the test
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print(f"Skipping LuminaTokenizeStrategy test due to OSError: {e}")
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# Test latents caching strategy
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# Test latents caching strategy
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latents_strategy = lumina_trainer.get_latents_caching_strategy(mock_args)
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latents_strategy = lumina_trainer.get_latents_caching_strategy(mock_args)
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@@ -114,10 +118,10 @@ def test_text_encoder_output_caching_strategy(lumina_trainer, mock_args):
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mock_args.skip_cache_check = False
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mock_args.skip_cache_check = False
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mock_args.text_encoder_batch_size = 16
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mock_args.text_encoder_batch_size = 16
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strategy = lumina_trainer.get_text_encoder_outputs_caching_strategy(mock_args)
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strategy = lumina_trainer.get_text_encoder_outputs_caching_strategy(mock_args)
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assert strategy.__class__.__name__ == "LuminaTextEncoderOutputsCachingStrategy"
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assert strategy.__class__.__name__ == "LuminaTextEncoderOutputsCachingStrategy"
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assert strategy.cache_to_disk is False # based on mock_args
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assert strategy.cache_to_disk is False # based on mock_args
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# With text encoder caching disabled
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# With text encoder caching disabled
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mock_args.cache_text_encoder_outputs = False
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mock_args.cache_text_encoder_outputs = False
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strategy = lumina_trainer.get_text_encoder_outputs_caching_strategy(mock_args)
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strategy = lumina_trainer.get_text_encoder_outputs_caching_strategy(mock_args)
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@@ -158,16 +162,16 @@ def test_update_metadata(lumina_trainer, mock_args):
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def test_is_text_encoder_not_needed_for_training(lumina_trainer, mock_args):
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def test_is_text_encoder_not_needed_for_training(lumina_trainer, mock_args):
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# Test with text encoder output caching, but not training text encoder
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# Test with text encoder output caching, but not training text encoder
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mock_args.cache_text_encoder_outputs = True
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mock_args.cache_text_encoder_outputs = True
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with patch.object(lumina_trainer, 'is_train_text_encoder', return_value=False):
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with patch.object(lumina_trainer, "is_train_text_encoder", return_value=False):
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result = lumina_trainer.is_text_encoder_not_needed_for_training(mock_args)
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result = lumina_trainer.is_text_encoder_not_needed_for_training(mock_args)
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assert result is True
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assert result is True
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# Test with text encoder output caching and training text encoder
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# Test with text encoder output caching and training text encoder
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with patch.object(lumina_trainer, 'is_train_text_encoder', return_value=True):
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with patch.object(lumina_trainer, "is_train_text_encoder", return_value=True):
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result = lumina_trainer.is_text_encoder_not_needed_for_training(mock_args)
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result = lumina_trainer.is_text_encoder_not_needed_for_training(mock_args)
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assert result is False
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assert result is False
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# Test with no text encoder output caching
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# Test with no text encoder output caching
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mock_args.cache_text_encoder_outputs = False
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mock_args.cache_text_encoder_outputs = False
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result = lumina_trainer.is_text_encoder_not_needed_for_training(mock_args)
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result = lumina_trainer.is_text_encoder_not_needed_for_training(mock_args)
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assert result is False
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assert result is False
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