forked from mindspore-Ecosystem/mindspore
takedown data_dump to ensure gate stability
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2655d64720
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70d642e780
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@ -541,7 +541,7 @@ def test_stat_dump_nulls():
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assert output['Max Value'] == 'null'
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assert output['Max Value'] == 'null'
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assert output['Avg Value'] == 'null'
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assert output['Avg Value'] == 'null'
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@pytest.mark.level0
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@pytest.mark.level1
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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@pytest.mark.env_onecard
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@ -587,7 +587,7 @@ def test_ascend_tensor_dump():
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
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run_saved_data_dump_test('test_async_dump', 'tensor')
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run_saved_data_dump_test('test_async_dump', 'tensor')
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@pytest.mark.level0
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@pytest.mark.level1
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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@pytest.mark.env_onecard
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@ -36,7 +36,7 @@ class Net(nn.Cell):
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out2_shape = self.reshape(out2_unique, (1, -1, 2))
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out2_shape = self.reshape(out2_unique, (1, -1, 2))
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return self.concat((out1_shape, out2_shape))
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return self.concat((out1_shape, out2_shape))
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@pytest.mark.level1
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@pytest.mark.level0
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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@pytest.mark.env_onecard
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