leezu opened a new issue #16831: [CI] Python2: CPU - hangs after test_create_np_param
URL: https://github.com/apache/incubator-mxnet/issues/16831
```
test_numpy_gluon.test_create_np_param ... NumPy-shape semantics has been activated in your
code. This is required for creating and manipulating scalar and zero-size tensors, which were
not supported in MXNet before, as in the official NumPy library. Please DO NOT manually deactivate
this semantics while using `mxnet.numpy` and `mxnet.numpy_extension` modules.
NumPy-shape semantics has been activated in your code. This is required for creating and
manipulating scalar and zero-size tensors, which were not supported in MXNet before, as in
the official NumPy library. Please DO NOT manually deactivate this semantics while using `mxnet.numpy`
and `mxnet.numpy_extension` modules.
NumPy-shape semantics has been activated in your code. This is required for creating and
manipulating scalar and zero-size tensors, which were not supported in MXNet before, as in
the official NumPy library. Please DO NOT manually deactivate this semantics while using `mxnet.numpy`
and `mxnet.numpy_extension` modules.
NumPy-shape semantics has been activated in your code. This is required for creating and
manipulating scalar and zero-size tensors, which were not supported in MXNet before, as in
the official NumPy library. Please DO NOT manually deactivate this semantics while using `mxnet.numpy`
and `mxnet.numpy_extension` modules.
NumPy-shape semantics has been activated in your code. This is required for creating and
manipulating scalar and zero-size tensors, which were not supported in MXNet before, as in
the official NumPy library. Please DO NOT manually deactivate this semantics while using `mxnet.numpy`
and `mxnet.numpy_extension` modules.
```
and so on until the job is stopped after 4 hours.
http://jenkins.mxnet-ci.amazon-ml.com/blue/rest/organizations/jenkins/pipelines/mxnet-validation/pipelines/unix-cpu/branches/PR-16810/runs/7/nodes/294/steps/806/log/?start=0
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