[v1] kernel plugin (#9274)

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

tests_v1/plugins/model_plugins/test_kernel_plugin.py

@@ -0,0 +1,46 @@
+# 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 unittest
+from unittest.mock import MagicMock, patch
+
+from transformers import AutoModelForCausalLM
+
+
+class TestKernelPlugin(unittest.TestCase):
+
+    @patch('torch.accelerator.current_accelerator')
+    def test_apply_kernel(self, mock_get_accelerator):
+        mock_device = MagicMock()
+        mock_device.type = 'npu'
+        mock_get_accelerator.return_value = mock_device
+
+        model = AutoModelForCausalLM.from_pretrained("llamafactory/tiny-random-qwen2.5")
+
+        original_rmsnorm_forward = model.model.layers[0].input_layernorm.forward
+        original_swiglu_forward = model.model.layers[0].mlp.forward
+
+
+        from llamafactory.v1.plugins.model_plugins.kernels.mlp import npu_swiglu
+        from llamafactory.v1.plugins.model_plugins.kernels.registry import apply_kernel
+        from llamafactory.v1.plugins.model_plugins.kernels.rms_norm import npu_rms_norm
+        from llamafactory.v1.plugins.model_plugins.kernels.rope import npu_rope
+
+        apply_kernel(model, npu_rope.NpuRoPEKernel)
+
+        model = apply_kernel(model, npu_rms_norm.NpuRMSNormKernel)
+        assert model.model.layers[0].input_layernorm is not original_rmsnorm_forward
+
+        model = apply_kernel(model, npu_swiglu.NpuSwiGluKernel)
+        assert model.model.layers[0].mlp.forward is not original_swiglu_forward