add test cases

Former-commit-id: 731176ff34cdf0cbf6b41c40c69f4ceb54c2daf6

tests/model/test_freeze.py

@@ -2,7 +2,7 @@ import os
 
 import torch
 
-from llamafactory.hparams import get_train_args
+from llamafactory.hparams import get_infer_args, get_train_args
 from llamafactory.model import load_model, load_tokenizer
 
 
@@ -23,8 +23,15 @@ TRAIN_ARGS = {
     "fp16": True,
 }
 
+INFER_ARGS = {
+    "model_name_or_path": TINY_LLAMA,
+    "finetuning_type": "freeze",
+    "template": "llama3",
+    "infer_dtype": "float16",
+}
 
-def test_freeze_all_modules():
+
+def test_freeze_train_all_modules():
     model_args, _, _, finetuning_args, _ = get_train_args({"freeze_trainable_layers": 1, **TRAIN_ARGS})
     tokenizer_module = load_tokenizer(model_args)
     model = load_model(tokenizer_module["tokenizer"], model_args, finetuning_args, is_trainable=True)
@@ -37,7 +44,7 @@ def test_freeze_all_modules():
             assert param.dtype == torch.float16
 
 
-def test_freeze_extra_modules():
+def test_freeze_train_extra_modules():
     model_args, _, _, finetuning_args, _ = get_train_args(
         {"freeze_trainable_layers": 1, "freeze_extra_modules": "embed_tokens,lm_head", **TRAIN_ARGS}
     )
@@ -50,3 +57,12 @@ def test_freeze_extra_modules():
         else:
             assert param.requires_grad is False
             assert param.dtype == torch.float16
+
+
+def test_freeze_inference():
+    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)
+    for param in model.parameters():
+        assert param.requires_grad is False
+        assert param.dtype == torch.float16