xc-llm-ascend/tests/ut/model_loader/netloader/test_netloader.py

#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. 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 json
from unittest.mock import MagicMock, patch

import pytest
import torch
from torch import nn

from vllm_ascend.model_loader.netloader.netloader import ModelNetLoaderElastic


class DummyDeviceConfig:
    device = 'cuda'
    device_type = 'cuda'


class DummyParallelConfig:
    tensor_parallel_size = 1
    pipeline_parallel_size = 1


class DummyVllmConfig:
    device_config = DummyDeviceConfig()
    parallel_config = DummyParallelConfig()
    additional_config = None


class DummyModelConfig:
    model = 'dummy-model'
    dtype = torch.float32


@pytest.fixture
def default_load_config():

    class DummyLoadConfig:
        model_loader_extra_config = None
        load_format = "default"

    return DummyLoadConfig()


def make_loader_with_config(extra):

    class DummyLoadConfig:
        model_loader_extra_config = extra
        load_format = "default"

    return ModelNetLoaderElastic(DummyLoadConfig())


def test_init_with_extra_config_file(tmp_path, monkeypatch):
    # Generate test JSON file
    config_content = {
        "SOURCE": [{
            "device_id": 0
        }],
        "MODEL": "foo-model",
        "LISTEN_PORT": 5001,
        "INT8_CACHE": "hbm",
        "OUTPUT_PREFIX": str(tmp_path),
    }
    config_file = tmp_path / "config.json"
    config_file.write_text(json.dumps(config_content))

    dummy_logger = MagicMock()
    monkeypatch.setattr("vllm.logger.logger", dummy_logger)
    monkeypatch.setattr(
        "vllm_ascend.model_loader.netloader.utils.is_valid_path_prefix",
        lambda x: True)

    extra = {"CONFIG_FILE": str(config_file)}
    loader = make_loader_with_config(extra)
    assert loader.model_path == "foo-model"
    assert loader.source == [{"device_id": 0}]
    assert loader.listen_port == 5001
    assert loader.int8_cache == "hbm"
    assert loader.output_prefix == str(tmp_path)


def test_init_with_extra_config(monkeypatch):
    dummy_logger = MagicMock()
    monkeypatch.setattr("vllm.logger.logger", dummy_logger)
    monkeypatch.setattr(
        "vllm_ascend.model_loader.netloader.utils.is_valid_path_prefix",
        lambda x: True)

    extra = {
        "SOURCE": [{
            "device_id": 0
        }],
        "MODEL": "foo",
        "LISTEN_PORT": "4000",
        "INT8_CACHE": "dram",
        "OUTPUT_PREFIX": "/tmp/"
    }
    loader = make_loader_with_config(extra)
    assert loader.model_path == "foo"
    assert loader.listen_port == 4000
    assert loader.int8_cache == "dram"
    assert loader.output_prefix == "/tmp/"
    assert loader.source == [{"device_id": 0}]


def test_init_with_invalid_config(monkeypatch):
    dummy_logger = MagicMock()
    monkeypatch.setattr("vllm.logger.logger", dummy_logger)
    monkeypatch.setattr(
        "vllm_ascend.model_loader.netloader.utils.is_valid_path_prefix",
        lambda x: False)
    # c
    extra = {
        "SOURCE": None,
        "MODEL": None,
        "LISTEN_PORT": None,
        "INT8_CACHE": "something",
        "OUTPUT_PREFIX": None,
    }
    loader = make_loader_with_config(extra)
    assert loader.model_path is None
    assert loader.listen_port is None
    assert loader.int8_cache == "no"
    assert loader.output_prefix is None


@patch("vllm_ascend.model_loader.netloader.netloader.logger")
def test_load_model_elastic_success(mock_logger, monkeypatch, tmp_path):
    monkeypatch.setattr("torch.distributed.get_rank", lambda: 0)

    class FakeContext:

        def __enter__(self):
            pass

        def __exit__(self, a, b, c):
            pass

    monkeypatch.setattr("torch.device", lambda d: FakeContext())
    # patch deep copy
    monkeypatch.setattr(
        "vllm_ascend.model_loader.netloader.netloader.deepcopy", lambda x: x)
    # patch set_default_torch_dtype
    monkeypatch.setattr(
        "vllm_ascend.model_loader.netloader.netloader.set_default_torch_dtype",
        lambda dtype: FakeContext())
    # patch initialize_model
    dummy_model = MagicMock(spec=nn.Module)
    dummy_model.eval.return_value = dummy_model
    monkeypatch.setattr(
        "vllm_ascend.model_loader.netloader.netloader.initialize_model",
        lambda **kwargs: dummy_model)
    # patch elastic_load
    monkeypatch.setattr(
        "vllm_ascend.model_loader.netloader.netloader.elastic_load",
        lambda **kwargs: dummy_model)
    # patch process_weights_after_loading
    monkeypatch.setattr(
        "vllm_ascend.model_loader.netloader.netloader.process_weights_after_loading",
        lambda *a, **k: None)
    # patch get_ip
    monkeypatch.setattr("vllm.utils.network_utils.get_ip", lambda: "127.0.0.1")
    # patch find_free_port
    monkeypatch.setattr(
        "vllm_ascend.model_loader.netloader.netloader.find_free_port",
        lambda: 8888)

    # patch ElasticServer
    class DummyElasticServer:

        def __init__(*a, **k):
            pass

        def start(self):
            pass

    monkeypatch.setattr(
        "vllm_ascend.model_loader.netloader.netloader.ElasticServer",
        DummyElasticServer)
    # write output_prefix to the temporary directory
    extra = {
        "SOURCE": [{
            "device_id": 0
        }],
        "MODEL": "foo",
        "LISTEN_PORT": 5555,
        "OUTPUT_PREFIX": str(tmp_path) + "/output_",
        "INT8_CACHE": "no"
    }
    loader = make_loader_with_config(extra)
    vllm_config = DummyVllmConfig()
    model_config = DummyModelConfig()
    result = loader.load_model(vllm_config, model_config)
    assert isinstance(result, nn.Module)
    # Check file
    written_file = tmp_path / "output_0.txt"
    assert written_file.exists()


if __name__ == "__main__":
    pytest.main()