Add loader test for mtp (#3724)

* add test for mtp

* fix unittest

* fix

tests/model_loader/test_load_mtp.py

@@ -0,0 +1,81 @@
+"""
+# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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 unittest
+from unittest.mock import Mock
+
+import numpy as np
+import paddle
+import paddle.distributed.fleet as fleet
+
+from fastdeploy.model_executor.layers.embeddings import VocabParallelEmbedding
+from fastdeploy.model_executor.models.ernie4_5_mtp import Ernie4_5_MTPForCausalLM
+
+sys.path.append("../")
+from utils import get_default_test_fd_config
+
+strategy = fleet.DistributedStrategy()
+fleet.init(strategy=strategy)
+
+
+class TestErnie4_5_MTPLoadWeights(unittest.TestCase):
+    def setUp(self):
+        self.fd_config = get_default_test_fd_config()
+        self.fd_config.speculative_config = Mock()
+        self.fd_config.speculative_config.sharing_model = Mock()
+        self.fd_config.speculative_config.sharing_model.ernie = Mock()
+        self.fd_config.parallel_config.tp_group = None
+        self.fd_config.speculative_config.sharing_model.ernie.embed_tokens = VocabParallelEmbedding(
+            fd_config=self.fd_config,
+            num_embeddings=self.fd_config.model_config.vocab_size,
+            embedding_dim=self.fd_config.model_config.hidden_size,
+            params_dtype=paddle.get_default_dtype,
+            prefix=("embed_tokens"),
+        )
+        self.fd_config.speculative_config.sharing_model.ernie.lm_head = Mock()
+        self.model = Ernie4_5_MTPForCausalLM(self.fd_config)
+
+    def test_load_weights_normal_case(self):
+        weights_iterator = [
+            ("ernie.embed_tokens.weight", np.random.rand(32000, 768).astype("float32")),
+            ("ernie.mtp_block.0.self_attn.qkv_proj.weight", np.random.rand(768, 768 * 3).astype("float32")),
+        ]
+        for k, v in self.model.named_parameters():
+            print("{}".format(k))
+
+        self.model.load_weights(iter(weights_iterator))
+
+        self.assertTrue(np.allclose(self.model.ernie.embed_tokens.embeddings.weight.numpy(), weights_iterator[0][1]))
+
+    def test_load_weights_with_unexpected_keys(self):
+        weights_iterator = [
+            ("unknown_key", np.random.rand(10, 10).astype("float32")),
+            ("ernie.embed_tokens.weight", np.random.rand(32000, 768).astype("float32")),
+        ]
+
+        self.model.load_weights(iter(weights_iterator))
+
+        self.assertTrue(np.allclose(self.model.ernie.embed_tokens.embeddings.weight.numpy(), weights_iterator[1][1]))
+
+    def test_load_weights_empty_iterator(self):
+        weights_iterator = []
+
+        self.model.load_weights(iter(weights_iterator))
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/utils.py

@@ -0,0 +1,61 @@
+"""
+# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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.
+"""
+
+from unittest.mock import Mock
+
+from fastdeploy.config import (
+    CacheConfig,
+    FDConfig,
+    GraphOptimizationConfig,
+    ParallelConfig,
+)
+
+
+class FakeModelConfig:
+    def __init__(self):
+        self.hidden_size = 768
+        self.intermediate_size = 768
+        self.num_hidden_layers = 12
+        self.num_attention_heads = 12
+        self.rms_norm_eps = 1e-6
+        self.tie_word_embeddings = True
+        self.ori_vocab_size = 32000
+        self.moe_layer_start_index = 8
+        self.pretrained_config = Mock()
+        self.pretrained_config.prefix_name = "test"
+        self.num_key_value_heads = 1
+        self.head_dim = 1
+        self.is_quantized = False
+        self.hidden_act = "relu"
+        self.vocab_size = 32000
+        self.hidden_dropout_prob = 0.1
+        self.initializer_range = 0.02
+        self.max_position_embeddings = 512
+        self.tie_word_embeddings = True
+        self.model_format = "auto"
+
+
+def get_default_test_fd_config():
+    graph_opt_config = GraphOptimizationConfig(args={})
+    parallel_config = ParallelConfig(args={})
+    parallel_config.max_num_seqs = 1
+    parallel_config.data_parallel_rank = 1
+    cache_config = CacheConfig({})
+    fd_config = FDConfig(
+        graph_opt_config=graph_opt_config, parallel_config=parallel_config, cache_config=cache_config, test_mode=True
+    )
+    fd_config.model_config = FakeModelConfig()
+    return fd_config