[arm_ut_py] fix reduce_max compute error and add reduce_* ut_py#8649
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chenjiaoAngel merged 11 commits intoPaddlePaddle:developfrom Mar 22, 2022
Merged
[arm_ut_py] fix reduce_max compute error and add reduce_* ut_py#8649chenjiaoAngel merged 11 commits intoPaddlePaddle:developfrom
chenjiaoAngel merged 11 commits intoPaddlePaddle:developfrom
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chenjiaoAngel
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| axis_int = draw(st.integers(min_value=-1, max_value=3)) | ||
| axis_list = draw( | ||
| st.sampled_from([[2, 3], [1, 2], [0, 1], [1, 2, 3], [0, 1, 2]])) | ||
| st.sampled_from([[0], [1], [2], [3], [0, 1], [1, 2], [2, 3]])) |
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axis_list 也可以是 0,1,2 等情况吧？
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有呀， [0], [1], [2]
axis 这个传进去的必须是list，不能是单独的数值。这个可以看paddle/paddle-lite OP 定义
| in_shape = list(program_config.inputs["input_data"].shape) | ||
| axis = program_config.ops[0].attrs["dim"] | ||
| if target_type == TargetType.OpenCL: | ||
| if len(axis) == 1 and len(in_shape) == 4: |
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这种情况下OpenCL是支持的，之前的单测中已经覆盖到这种情况了。
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嗯，但是这个case下，部分输入计算有diff，需要你们看看
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好的，这个问题等PR合入后我本地复现下
| axis_list = draw(st.sampled_from([[0], [1], [2]])) | ||
| elif len(in_shape) == 4: | ||
| axis_list = draw( | ||
| st.sampled_from([[0], [1], [2], [3], [0, 1], [1, 2], [2, 3]])) |
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