1. 新增集成测试.2.去除nrtans_py的一些log
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xujiao
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@ -141,7 +141,7 @@ class Netrans():
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scale = self._format_preprocess_param(kwargs['scale'], grey)
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data = self._upload_config_scale(data, scale)
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if 'reverse_channel' in kwargs:
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data = self._upload_config_reverse_channel(data, kwargs['reverse_channel'],grey)
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data = self._upload_config_reverse_channel(data, kwargs['reverse_channel'])
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return data
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@ -237,6 +237,7 @@ class Netrans():
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"""
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func = Config(self)
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func.inputmeta_gen()
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def quantize(self, quantize_type,**kargs):
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"""
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@ -0,0 +1,62 @@
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import json
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import shutil
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from pathlib import Path
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import pytest
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from netrans import Netrans
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# ------------ 真实路径 fixture ------------
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@pytest.fixture(scope="session")
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def real_model_dir(tmp_path_factory):
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"""把 tests/data/yolov4_tiny 复制到临时目录"""
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here = Path(__file__).resolve()
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src = here.parent.parent.parent / "examples"/ "darknet" / "yolov4_tiny"
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dst = tmp_path_factory.mktemp("real_model")
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shutil.copytree(src, dst / "yolov4_tiny")
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return dst / "yolov4_tiny"
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@pytest.fixture(scope="session")
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def real_netrans():
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"""返回真实 netrans 可执行文件路径；CI 可注入环境变量"""
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path = Path(__file__).resolve().parent.parent.parent / "bin"
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if not path.exists():
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pytest.skip("真实 netrans 可执行文件不存在")
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return str(path)
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@pytest.fixture
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def netrans_real(real_model_dir, real_netrans):
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"""返回基于真实模型&真实 netrans 的 Netrans 实例"""
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return Netrans(str(real_model_dir), netrans=real_netrans)
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# ------------ 集成测试 ------------
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@pytest.mark.slow
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def test_full_integration(netrans_real):
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"""端到端：load → config → quantize → export"""
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model_path = Path(netrans_real.model_path)
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model_name = netrans_real.model_name
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# 1. load
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netrans_real.load()
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assert (model_path / f"{model_name}.json").exists()
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assert (model_path / f"{model_name}.data").exists()
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# 2. config
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netrans_real.config()
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inputmeta_file = model_path / f"{model_name}_inputmeta.yml"
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assert inputmeta_file.exists()
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# 3. quantize
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netrans_real.quantize("uint8")
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quant_file = model_path / f"{model_name}_asymmetric_affine.quantize"
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assert quant_file.exists()
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# 4. export
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netrans_real.export(quantize_type="uint8")
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nb_file = model_path / "wksp" / "asymmetric_affine" / "network_binary.nb"
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assert nb_file.exists()
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@ -0,0 +1,46 @@
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"""
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pytest 单文件测试：每个框架一个独立函数
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运行：
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pytest test_model_conversion.py -v
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pytest test_model_conversion.py::test_caffe_conversion
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"""
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import os
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import pytest
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from pathlib import Path
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from netrans import Netrans
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ROOT = Path(__file__).parent.parent.parent
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# 通用转换函数
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def _convert(model_dir: Path, mean: float, scale: float):
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model = Netrans(model_path=str(model_dir))
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model.model2nbg(
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quantize_type="uint8",
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mean=mean,
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scale=scale,
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profile=False,
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)
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# ---------- 各框架独立测试函数 ----------
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def test_caffe_conversion():
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model_dir = ROOT / "examples" / "caffe" / "lenet_caffe"
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_convert(model_dir, mean=0, scale=1.0)
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def test_darknet_conversion():
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model_dir = ROOT / "examples" / "darknet" / "yolov4_tiny"
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_convert(model_dir, mean=0, scale=1.0)
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def test_onnx_conversion():
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model_dir = ROOT / "examples" / "onnx" / "yolov5s"
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_convert(model_dir, mean=0, scale=0.003921568627)
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def test_tensorflow_conversion():
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model_dir = ROOT / "examples" / "tensorflow" / "lenet"
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_convert(model_dir, mean=0, scale=1.0)
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def test_pytorch_conversion():
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model_dir = ROOT / "examples" / "pytorch" / "resnet50"
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export_script = model_dir / "export_resnet50_2_onnx.py"
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assert export_script.exists(), f"{export_script} not found"
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os.system(f"cd {model_dir} && python export_resnet50_2_onnx.py")
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_convert(model_dir, mean=0, scale=1.0)
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@ -0,0 +1,209 @@
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import pytest
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from pathlib import Path
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from unittest.mock import Mock, patch
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from netrans import Netrans
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import shutil
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@pytest.fixture
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def mock_model_dir(tmp_path):
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"""创建复制真实示例目录内容的虚拟模型目录"""
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# 获取示例目录的绝对路径
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current_file = Path(__file__)
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examples_dir = current_file.parent.parent.parent / "examples" # 调整路径层级
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source_dir = examples_dir / "darknet/yolov4_tiny"
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# 验证源目录存在
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if not source_dir.exists():
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raise FileNotFoundError(f"示例目录未找到: {source_dir}")
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# 创建目标目录路径
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model_dir = tmp_path / "yolov4_tiny"
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# 执行目录复制
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shutil.copytree(
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src=str(source_dir),
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dst=str(model_dir),
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symlinks=True,
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ignore_dangling_symlinks=True
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)
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return model_dir
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@pytest.fixture
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def mock_netrans_path(tmp_path):
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"""创建复制真实示例目录内容的虚拟模型目录"""
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# 获取示例目录的绝对路径
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current_file = Path(__file__)
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source_dir = current_file.parent.parent.parent / "bin" # 调整路径层级
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# 创建目标目录路径
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netrans_path = tmp_path / "bin"
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# 执行目录复制
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shutil.copytree(
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src=str(source_dir),
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dst=str(netrans_path),
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symlinks=True,
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ignore_dangling_symlinks=True
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)
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return netrans_path
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@pytest.fixture
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def netrans_instance(mock_model_dir, mock_netrans_path):
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return Netrans(str(mock_model_dir), netrans=str(mock_netrans_path))
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class TestNetransInitialization:
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def test_init_with_default_netrans(self, mock_model_dir):
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# 测试能否找到默认的netrans(.bashrc NETRANS_PATH)
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net = Netrans(str(mock_model_dir))
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assert net.model_path == str(mock_model_dir)
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assert hasattr(net, 'netrans_path')
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def test_init_with_custom_netrans(self, mock_model_dir, mock_netrans_path):
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# 测试传参 netrans
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net = Netrans(str(mock_model_dir), netrans= str(mock_netrans_path))
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assert net.netrans_path == str(mock_netrans_path)
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def test_init_with_invalid_model_path(self):
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# 测试给定非法路径报错
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with pytest.raises(FileNotFoundError):
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Netrans("invalid/path")
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def test_load_success(self, netrans_instance, tmp_path):
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# 测试模型导入功能
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with patch('subprocess.run') as mock_run:
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netrans_instance.load()
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mock_run.assert_called_once()
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# 验证生成的文件
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output_dir = Path(netrans_instance.model_path)
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assert (output_dir / f"{netrans_instance.model_name}.json").exists()
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assert (output_dir / f"{netrans_instance.model_name}.data").exists()
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def test_load_failure(self, netrans_instance):
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with patch('subprocess.run', side_effect=Exception("Process error")):
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with pytest.raises(RuntimeError):
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netrans_instance.load()
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# @pytest.mark.parametrize("inputmeta_param, expected", [
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# (False, "generate_template"),
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# (True, "auto_detect"),
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# (netrans_instance.model_path/f"{netrans_instance.model_name}_inputmeta.yml", "use_custom")
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# ])
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# def test_config_gen(self, netrans_instance, inputmeta_param, expected):
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# with patch.object(Netrans, '_handle_inputmeta') as mock_method:
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# netrans_instance.config(inputmeta=inputmeta_param)
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# mock_method.assert_called_with(expected)
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def test_config_gen_inputmeta(self, netrans_instance):
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with patch('subprocess.run') as mock_run:
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netrans_instance.config()
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mock_run.assert_called_once()
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assert (Path(netrans_instance.model_path) / f"{netrans_instance.model_name}_inputmeta.yml").exists()
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def test_config_auto_find_inputmeta(self, netrans_instance):
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with patch('subprocess.run') as mock_run:
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netrans_instance.config(True)
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assert netrans_instance.input_meta == str(Path(netrans_instance.model_path) / f"{netrans_instance.model_name}_inputmeta.yml")
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def test_config_use_costume_inputmeta(self, netrans_instance):
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inputmeta = str(Path(netrans_instance.model_path) / f"{netrans_instance.model_name}_inputmeta.yml")
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cp_file = inputmeta+'.tmp.yml'
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shutil.copy2(str(inputmeta), str(cp_file))
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netrans_instance.config(inputmeta=cp_file)
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assert netrans_instance.input_meta == cp_file
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def test_config_with_invalid_model_path(self, netrans_instance):
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# with patch('subprocess.run', side_effect=Exception("Process error")):
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# with pytest.raises(RuntimeError):
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# netrans_instance.config(False)
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# 测试给定非法路径报错
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with pytest.raises(FileExistsError):
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inputmeta="invalid/path"
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print(isinstance(inputmeta, str))
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netrans_instance.config(inputmeta="invalid/path")
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def test_config_parameter_combinations(self, netrans_instance):
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test_params = {
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'scale': [[0, 1, 0.5], [0.1, 0.2, 0.3]],
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'mean': [[0, 0, 128], [125, 127, 128]],
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'reverse_channel': [True, False]
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}
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for scale,mean in zip(test_params['scale'],test_params['mean']):
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for reverse in test_params['reverse_channel']:
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netrans_instance.config(
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scale=scale,
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mean=mean,
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reverse_channel=reverse
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)
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data = netrans_instance._verify_preprocess_value()
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assert data['scale'] == scale
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assert data['mean'] == mean
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assert data['reverse_channel'] == reverse
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def test_valid_quantize_types(self, netrans_instance):
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test_params = ["uint8", "int8", "int16"]
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for qtype in test_params:
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netrans_instance.quantize(qtype)
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assert netrans_instance.quantize_type == qtype
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def test_invalid_quantize_type(self, netrans_instance):
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with pytest.raises(TypeError):
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netrans_instance.quantize("float32")
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def test_quantize(self, netrans_instance):
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netrans_instance.quantize('uint8')
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assert (Path(netrans_instance.model_path) / f"{netrans_instance.model_name}_asymmetric_affine.quantize").exists()
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def test_export(self, netrans_instance):
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# netrans_instance.quantize('uint8')
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netrans_instance.export(quantize_type='uint8')
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assert (Path(netrans_instance.model_path) / "wksp/asymmetric_affine/network_binary.nb").exists()
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# class TestExportMethod:
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# def test_export_flow(self, netrans_instance):
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# with patch.multiple(Netrans,
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# _validate_quant_config=Mock(),
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# _compile_model=Mock()) as mocks:
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# netrans_instance.export()
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# mocks['_validate_quant_config'].assert_called_once()
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# mocks['_compile_model'].assert_called_once()
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# class TestModel2NBG:
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# @pytest.mark.parametrize("params", [
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# {'quantize_type': 'uint8'},
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# {'quantize_type': 'int8', 'mean': 128, 'scale': 0.0039},
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# {'quantize_type': 'int16', 'mean': [128,127,125], 'scale': 0.0039, 'reverse_channel': True},
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# {'quantize_type': 'uint8', 'inputmeta': True}
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# ])
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# def test_full_workflow(self, netrans_instance, params):
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# with patch.multiple(Netrans,
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# import=Mock(),
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# config=Mock(),
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# quantize=Mock(),
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# export=Mock()) as mocks:
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# netrans_instance.model2nbg(**params)
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# if 'inputmeta' not in params or params['inputmeta'] is not True:
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# mocks['config'].assert_called_with(
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# mean=params.get('mean'),
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# scale=params.get('scale'),
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# reverse_channel=params.get('reverse_channel'),
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# inputmeta=params.get('inputmeta', False)
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# )
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# mocks['quantize'].assert_called_with(params['quantize_type'])
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# mocks['export'].assert_called_once()
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# 代码覆盖率配置（pytest.ini）
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"""
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[pytest]
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addopts = --cov=nertans --cov-report=term-missing
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"""
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