[v1] Refactor kernel plugin (#9669)

Co-authored-by: frozenleaves <frozen@Mac.local>

tests_v1/config/test_args_parser.py

@@ -0,0 +1,71 @@
+# Copyright 2025 the LlamaFactory team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import sys
+import pathlib
+from unittest.mock import patch
+
+from llamafactory.v1.config.arg_parser import get_args
+
+
+def test_get_args_from_yaml(tmp_path: pathlib.Path):
+    config_yaml = """
+        ### model
+        model: "llamafactory/tiny-random-qwen2.5"
+        trust_remote_code: true
+        use_fast_processor: true
+        model_class: "llm"
+        kernel_config:
+          name: "auto"
+          include_kernels: "auto" # choice: null/true/false/auto/kernel_id1,kernel_id2,kernel_id3, default is null
+        peft_config:
+          name: "lora"
+          lora_rank: 0.8
+        quant_config: null
+
+        ### data
+        dataset: "llamafactory/tiny-supervised-dataset"
+        cutoff_len: 2048
+
+        ### training
+        output_dir: "outputs/test_run"
+        micro_batch_size: 1
+        global_batch_size: 1
+        learning_rate: 1.0e-4
+        bf16: false
+        dist_config: null
+
+        ### sample
+        sample_backend: "hf"
+        max_new_tokens: 128
+    """
+
+    config_file = tmp_path / "config.yaml"
+    config_file.write_text(config_yaml, encoding="utf-8")
+
+    test_argv = ["test_args_parser.py", str(config_file)]
+
+    with patch.object(sys, "argv", test_argv):
+        data_args, model_args, training_args, sample_args = get_args()
+        assert training_args.output_dir == "outputs/test_run"
+        assert training_args.micro_batch_size == 1
+        assert training_args.global_batch_size == 1
+        assert training_args.learning_rate == 1.0e-4
+        assert training_args.bf16 is False
+        assert training_args.dist_config is None
+        assert model_args.model == "llamafactory/tiny-random-qwen2.5"
+        assert model_args.kernel_config.name == "auto"
+        assert model_args.kernel_config.get("include_kernels") == "auto"
+        assert model_args.peft_config.name == "lora"
+        assert model_args.peft_config.get("lora_rank") == 0.8