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Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9662182 * clean up test level
87 lines
2.9 KiB
Python
87 lines
2.9 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import os
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import unittest
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from typing import Any, Dict, List, Union
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from modelscope.fileio import io
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from modelscope.models.base import Model
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from modelscope.pipelines import Pipeline, pipeline
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from modelscope.pipelines.builder import PIPELINES
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from modelscope.utils.constant import (ConfigFields, Frameworks, ModelFile,
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Tasks)
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from modelscope.utils.logger import get_logger
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logger = get_logger()
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@PIPELINES.register_module(
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group_key=Tasks.image_classification, module_name='custom_single_model')
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class CustomSingleModelPipeline(Pipeline):
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def __init__(self,
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config_file: str = None,
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model: List[Union[str, Model]] = None,
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preprocessor=None,
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**kwargs):
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super().__init__(config_file, model, preprocessor, **kwargs)
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assert isinstance(model, str), 'model is not str'
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print(model)
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def postprocess(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
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return super().postprocess(inputs)
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@PIPELINES.register_module(
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group_key=Tasks.image_classification, module_name='model1_model2')
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class CustomMultiModelPipeline(Pipeline):
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def __init__(self,
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config_file: str = None,
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model: List[Union[str, Model]] = None,
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preprocessor=None,
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**kwargs):
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super().__init__(config_file, model, preprocessor, **kwargs)
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assert isinstance(model, list), 'model is not list'
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for m in model:
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assert isinstance(m, str), 'submodel is not str'
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print(m)
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def postprocess(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
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return super().postprocess(inputs)
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class PipelineInterfaceTest(unittest.TestCase):
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def prepare_dir(self, dirname, pipeline_name):
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if not os.path.exists(dirname):
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os.makedirs(dirname)
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cfg_file = os.path.join(dirname, ModelFile.CONFIGURATION)
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cfg = {
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ConfigFields.framework: Frameworks.torch,
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ConfigFields.task: Tasks.image_classification,
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ConfigFields.pipeline: {
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'type': pipeline_name,
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}
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}
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io.dump(cfg, cfg_file)
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def setUp(self) -> None:
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self.prepare_dir('/tmp/custom_single_model', 'custom_single_model')
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self.prepare_dir('/tmp/model1', 'model1_model2')
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self.prepare_dir('/tmp/model2', 'model1_model2')
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def test_single_model(self):
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pipe = pipeline(
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Tasks.image_classification, model='/tmp/custom_single_model')
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assert isinstance(pipe, CustomSingleModelPipeline)
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def test_multi_model(self):
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pipe = pipeline(
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Tasks.image_classification, model=['/tmp/model1', '/tmp/model2'])
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assert isinstance(pipe, CustomMultiModelPipeline)
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if __name__ == '__main__':
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unittest.main()
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