add unittest
Former-commit-id: 8a1f0c5f922989e08a19c65de0b2c4afd2a5771f
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@@ -16,8 +16,7 @@ import os
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import torch
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from llamafactory.hparams import get_infer_args, get_train_args
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from llamafactory.model import load_model, load_tokenizer
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from llamafactory.train.test_utils import load_infer_model, load_train_model
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TINY_LLAMA = os.environ.get("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
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@@ -46,20 +45,14 @@ INFER_ARGS = {
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def test_full_train():
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model_args, _, _, finetuning_args, _ = get_train_args(TRAIN_ARGS)
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tokenizer_module = load_tokenizer(model_args)
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model = load_model(tokenizer_module["tokenizer"], model_args, finetuning_args, is_trainable=True)
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model = load_train_model(**TRAIN_ARGS)
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for param in model.parameters():
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assert param.requires_grad is True
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assert param.dtype == torch.float32
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def test_full_inference():
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model_args, _, finetuning_args, _ = get_infer_args(INFER_ARGS)
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tokenizer_module = load_tokenizer(model_args)
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model = load_model(tokenizer_module["tokenizer"], model_args, finetuning_args, is_trainable=False)
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model = load_infer_model(**INFER_ARGS)
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for param in model.parameters():
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assert param.requires_grad is False
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assert param.dtype == torch.float16
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