add test cases

Former-commit-id: 731176ff34cdf0cbf6b41c40c69f4ceb54c2daf6

tests/model/test_base.py

@@ -0,0 +1,32 @@
+import os
+
+import torch
+from transformers import AutoModelForCausalLM
+
+from llamafactory.hparams import get_infer_args
+from llamafactory.model import load_model, load_tokenizer
+
+
+TINY_LLAMA = os.environ.get("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
+
+INFER_ARGS = {
+    "model_name_or_path": TINY_LLAMA,
+    "template": "llama3",
+    "infer_dtype": "float16",
+}
+
+
+def compare_model(model_a: "torch.nn.Module", model_b: "torch.nn.Module"):
+    state_dict_a = model_a.state_dict()
+    state_dict_b = model_b.state_dict()
+    assert set(state_dict_a.keys()) == set(state_dict_b.keys())
+    for name in state_dict_a.keys():
+        assert torch.allclose(state_dict_a[name], state_dict_b[name]) is True
+
+
+def test_base():
+    model_args, _, finetuning_args, _ = get_infer_args(INFER_ARGS)
+    tokenizer_module = load_tokenizer(model_args)
+    model = load_model(tokenizer_module["tokenizer"], model_args, finetuning_args, is_trainable=False)
+    ref_model = AutoModelForCausalLM.from_pretrained(TINY_LLAMA, torch_dtype=model.dtype, device_map=model.device)
+    compare_model(model, ref_model)