cp: cannot create regular file '/data/test.zip': Read-only file system
[NbConvertApp] Converting notebook predict.ipynb to notebook
[NbConvertApp] Executing notebook with kernel: python
2021-06-12 20:28:46.955257: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2021-06-12 20:28:46.955293: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
[NbConvertApp] ERROR | Kernel died while waiting for execute reply.
Traceback (most recent call last):
  File "/opt/conda/lib/python3.8/site-packages/nbclient/client.py", line 836, in async_execute_cell
    exec_reply = await self.task_poll_for_reply
  File "/opt/conda/lib/python3.8/asyncio/futures.py", line 260, in __await__
    yield self  # This tells Task to wait for completion.
  File "/opt/conda/lib/python3.8/asyncio/tasks.py", line 349, in __wakeup
    future.result()
  File "/opt/conda/lib/python3.8/asyncio/futures.py", line 173, in result
    raise exceptions.CancelledError
asyncio.exceptions.CancelledError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/conda/bin/jupyter-nbconvert", line 11, in <module>
    sys.exit(main())
  File "/opt/conda/lib/python3.8/site-packages/jupyter_core/application.py", line 254, in launch_instance
    return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
  File "/opt/conda/lib/python3.8/site-packages/traitlets/config/application.py", line 845, in launch_instance
    app.start()
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/nbconvertapp.py", line 350, in start
    self.convert_notebooks()
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/nbconvertapp.py", line 524, in convert_notebooks
    self.convert_single_notebook(notebook_filename)
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/nbconvertapp.py", line 489, in convert_single_notebook
    output, resources = self.export_single_notebook(notebook_filename, resources, input_buffer=input_buffer)
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/nbconvertapp.py", line 418, in export_single_notebook
    output, resources = self.exporter.from_filename(notebook_filename, resources=resources)
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/exporters/exporter.py", line 181, in from_filename
    return self.from_file(f, resources=resources, **kw)
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/exporters/exporter.py", line 199, in from_file
    return self.from_notebook_node(nbformat.read(file_stream, as_version=4), resources=resources, **kw)
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/exporters/notebook.py", line 32, in from_notebook_node
    nb_copy, resources = super().from_notebook_node(nb, resources, **kw)
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/exporters/exporter.py", line 143, in from_notebook_node
    nb_copy, resources = self._preprocess(nb_copy, resources)
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/exporters/exporter.py", line 318, in _preprocess
    nbc, resc = preprocessor(nbc, resc)
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/preprocessors/base.py", line 47, in __call__
    return self.preprocess(nb, resources)
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/preprocessors/execute.py", line 79, in preprocess
    self.execute()
  File "/opt/conda/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped
    return just_run(coro(*args, **kwargs))
  File "/opt/conda/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run
    return loop.run_until_complete(coro)
  File "/opt/conda/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
    return future.result()
  File "/opt/conda/lib/python3.8/site-packages/nbclient/client.py", line 553, in async_execute
    await self.async_execute_cell(
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/preprocessors/execute.py", line 123, in async_execute_cell
    cell, resources = self.preprocess_cell(cell, self.resources, cell_index)
  File "/opt/conda/lib/python3.8/site-packages/nbconvert/preprocessors/execute.py", line 146, in preprocess_cell
    cell = run_sync(NotebookClient.async_execute_cell)(self, cell, index, store_history=self.store_history)
  File "/opt/conda/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped
    return just_run(coro(*args, **kwargs))
  File "/opt/conda/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run
    return loop.run_until_complete(coro)
  File "/opt/conda/lib/python3.8/site-packages/nest_asyncio.py", line 98, in run_until_complete
    return f.result()
  File "/opt/conda/lib/python3.8/asyncio/futures.py", line 178, in result
    raise self._exception
  File "/opt/conda/lib/python3.8/asyncio/tasks.py", line 282, in __step
    result = coro.throw(exc)
  File "/opt/conda/lib/python3.8/site-packages/nbclient/client.py", line 840, in async_execute_cell
    raise DeadKernelError("Kernel died")
nbclient.exceptions.DeadKernelError: Kernel died