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[shardformer] adapted T5 and LLaMa test to use kit (#4049)
* [shardformer] adapted T5 and LLaMa test to use kit * polish code
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@@ -71,7 +71,7 @@ def check_gemini_plugin(init_method: str = 'none', early_stop: bool = True):
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passed_models = []
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failed_info = {} # (model_name, error) pair
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for name, (model_fn, data_gen_fn, output_transform_fn, _) in model_zoo.items():
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for name, (model_fn, data_gen_fn, output_transform_fn, _, _) in model_zoo.items():
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# These models lead to CUDA error
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if name in ('diffusers_auto_encoder_kl', 'diffusers_vq_model', 'diffusers_unet2d_model', 'timm_resmlp',
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'timm_gmixer_12_224', 'timm_gmlp_b16_224', 'timm_mixer_b16_224', 'timm_convnext'):
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