[GitHub] [tvm] areusch opened a new issue, #11545: Resolve need to pin `protobuf` package to older version

[GitBox <gi...@apache.org>]

areusch opened a new issue, #11545:
URL: https://github.com/apache/tvm/issues/11545

   Currently we are unable to rebuild docker images because `protobuf` released version 4.20.1 which i believe broke the older version of TensorFlow we're using. Likely the correct long-term fix here is to update our TensorFlow dependency to 2.9--I think some descriptors in TensorFlow were compiled against an older version of the package.
   
   ```
   $ docker/build.sh ci_cpu
   ---> Running in 3bfc0bbd44eb
   The command '/bin/sh -c bash /install/ubuntu_install_tflite.sh' returned a non-zero code: 1
   ERROR: docker build failed.
   $ docker commit 3bfc0bbd44eb test-build
   $ docker run -it test-build bash
   root@fae8461bbf76:/# python3
   Python 3.7.5 (default, Dec  9 2021, 17:04:37)
   [GCC 8.4.0] on linux
   Type "help", "copyright", "credits" or "license" for more information.
   >>> import tensorflow
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
     File "/usr/local/lib/python3.7/dist-packages/tensorflow/__init__.py", line 41, in <module>
       from tensorflow.python.tools import module_util as _module_util
     File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/__init__.py", line 40, in <module>
       from tensorflow.python.eager import context
     File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/context.py", line 32, in <module>
       from tensorflow.core.framework import function_pb2
     File "/usr/local/lib/python3.7/dist-packages/tensorflow/core/framework/function_pb2.py", line 16, in <module>
       from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attr__value__pb2
     File "/usr/local/lib/python3.7/dist-packages/tensorflow/core/framework/attr_value_pb2.py", line 16, in <module>
       from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__pb2
     File "/usr/local/lib/python3.7/dist-packages/tensorflow/core/framework/tensor_pb2.py", line 16, in <module>
       from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resource__handle__pb2
     File "/usr/local/lib/python3.7/dist-packages/tensorflow/core/framework/resource_handle_pb2.py", line 16, in <module>
       from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2
     File "/usr/local/lib/python3.7/dist-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 42, in <module>
       serialized_options=None, file=DESCRIPTOR),
     File "/usr/local/lib/python3.7/dist-packages/google/protobuf/descriptor.py", line 560, in __new__
       _message.Message._CheckCalledFromGeneratedFile()
   TypeError: Descriptors cannot not be created directly.
   If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
   If you cannot immediately regenerate your protos, some other possible workarounds are:
    1. Downgrade the protobuf package to 3.20.x or lower.
    2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
   
   More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
   ```
   
   cc @driazati @leandron @tqchen @junrushao1994 @mbrookhart @sfvaroglu 


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