Closed VivekPanyam closed 2 years ago
Some of the failing tests caused by this issue:
======================================================================
ERROR: backends.keras.test.test_keras_packaging (unittest.loader._FailedTest)
----------------------------------------------------------------------
ImportError: Failed to import test module: backends.keras.test.test_keras_packaging
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/unittest/loader.py", line 436, in _find_test_path
module = self._get_module_from_name(name)
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/unittest/loader.py", line 377, in _get_module_from_name
__import__(name)
File "/Users/runner/work/neuropod/neuropod/source/python/neuropod/backends/keras/test/test_keras_packaging.py", line 16, in <module>
import tensorflow as tf
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/__init__.py", line 41, in <module>
from tensorflow.python.tools import module_util as _module_util
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/python/__init__.py", line 53, in <module>
from tensorflow.core.framework.graph_pb2 import *
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/core/framework/graph_pb2.py", line 16, in <module>
from tensorflow.core.framework import function_pb2 as tensorflow_dot_core_dot_framework_dot_function__pb2
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 36, in <module>
_descriptor.FieldDescriptor(
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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
======================================================================
ERROR: backends.tensorflow.test.custom_ops.test_tensorflow_custom_ops (unittest.loader._FailedTest)
----------------------------------------------------------------------
ImportError: Failed to import test module: backends.tensorflow.test.custom_ops.test_tensorflow_custom_ops
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/unittest/loader.py", line 436, in _find_test_path
module = self._get_module_from_name(name)
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/unittest/loader.py", line 377, in _get_module_from_name
__import__(name)
File "/Users/runner/work/neuropod/neuropod/source/python/neuropod/backends/tensorflow/test/custom_ops/test_tensorflow_custom_ops.py", line 19, in <module>
import tensorflow as tf
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/__init__.py", line 41, in <module>
from tensorflow.python.tools import module_util as _module_util
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/python/__init__.py", line 53, in <module>
from tensorflow.core.framework.graph_pb2 import *
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/core/framework/graph_pb2.py", line 16, in <module>
from tensorflow.core.framework import function_pb2 as tensorflow_dot_core_dot_framework_dot_function__pb2
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 36, in <module>
_descriptor.FieldDescriptor(
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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
======================================================================
ERROR: backends.tensorflow.test.test_tensorflow_packaging (unittest.loader._FailedTest)
----------------------------------------------------------------------
ImportError: Failed to import test module: backends.tensorflow.test.test_tensorflow_packaging
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/unittest/loader.py", line 436, in _find_test_path
module = self._get_module_from_name(name)
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/unittest/loader.py", line 377, in _get_module_from_name
__import__(name)
File "/Users/runner/work/neuropod/neuropod/source/python/neuropod/backends/tensorflow/test/test_tensorflow_packaging.py", line 17, in <module>
import tensorflow as tf
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/__init__.py", line 41, in <module>
from tensorflow.python.tools import module_util as _module_util
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/python/__init__.py", line 53, in <module>
from tensorflow.core.framework.graph_pb2 import *
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/core/framework/graph_pb2.py", line 16, in <module>
from tensorflow.core.framework import function_pb2 as tensorflow_dot_core_dot_framework_dot_function__pb2
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 36, in <module>
_descriptor.FieldDescriptor(
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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
======================================================================
ERROR: backends.tensorflow.test.test_tensorflow_strings (unittest.loader._FailedTest)
----------------------------------------------------------------------
ImportError: Failed to import test module: backends.tensorflow.test.test_tensorflow_strings
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/unittest/loader.py", line 436, in _find_test_path
module = self._get_module_from_name(name)
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/unittest/loader.py", line 377, in _get_module_from_name
__import__(name)
File "/Users/runner/work/neuropod/neuropod/source/python/neuropod/backends/tensorflow/test/test_tensorflow_strings.py", line 16, in <module>
import tensorflow as tf
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/__init__.py", line 41, in <module>
from tensorflow.python.tools import module_util as _module_util
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/python/__init__.py", line 53, in <module>
from tensorflow.core.framework.graph_pb2 import *
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/core/framework/graph_pb2.py", line 16, in <module>
from tensorflow.core.framework import function_pb2 as tensorflow_dot_core_dot_framework_dot_function__pb2
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 36, in <module>
_descriptor.FieldDescriptor(
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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
======================================================================
ERROR: backends.tensorflow.test.test_tensorflow_v2_packaging (unittest.loader._FailedTest)
----------------------------------------------------------------------
ImportError: Failed to import test module: backends.tensorflow.test.test_tensorflow_v2_packaging
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/unittest/loader.py", line 436, in _find_test_path
module = self._get_module_from_name(name)
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/unittest/loader.py", line 377, in _get_module_from_name
__import__(name)
File "/Users/runner/work/neuropod/neuropod/source/python/neuropod/backends/tensorflow/test/test_tensorflow_v2_packaging.py", line 16, in <module>
import tensorflow as tf
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/__init__.py", line 41, in <module>
from tensorflow.python.tools import module_util as _module_util
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/python/__init__.py", line 53, in <module>
from tensorflow.core.framework.graph_pb2 import *
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/core/framework/graph_pb2.py", line 16, in <module>
from tensorflow.core.framework import function_pb2 as tensorflow_dot_core_dot_framework_dot_function__pb2
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 36, in <module>
_descriptor.FieldDescriptor(
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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
======================================================================
ERROR: utils.test.test_randomify (unittest.loader._FailedTest)
----------------------------------------------------------------------
ImportError: Failed to import test module: utils.test.test_randomify
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/unittest/loader.py", line 436, in _find_test_path
module = self._get_module_from_name(name)
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/unittest/loader.py", line 377, in _get_module_from_name
__import__(name)
File "/Users/runner/work/neuropod/neuropod/source/python/neuropod/utils/test/test_randomify.py", line 20, in <module>
import tensorflow as tf
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/__init__.py", line 41, in <module>
from tensorflow.python.tools import module_util as _module_util
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/python/__init__.py", line 53, in <module>
from tensorflow.core.framework.graph_pb2 import *
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/core/framework/graph_pb2.py", line 16, in <module>
from tensorflow.core.framework import function_pb2 as tensorflow_dot_core_dot_framework_dot_function__pb2
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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 "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 36, in <module>
_descriptor.FieldDescriptor(
File "/Users/runner/work/neuropod/neuropod/.neuropod_venv/lib/python3.8/site-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
Merging #546 (585263f) into master (c79f8af) will increase coverage by
0.05%
. The diff coverage is93.87%
.:exclamation: Current head 585263f differs from pull request most recent head 5a826d1. Consider uploading reports for the commit 5a826d1 to get more accurate results
@@ Coverage Diff @@
## master #546 +/- ##
==========================================
+ Coverage 86.58% 86.63% +0.05%
==========================================
Files 105 105
Lines 6975 7002 +27
==========================================
+ Hits 6039 6066 +27
Misses 936 936
Impacted Files | Coverage Δ | |
---|---|---|
...hon_bridge/_neuropod_native_bootstrap/pip_utils.py | 65.51% <50.00%> (ø) |
|
...e/neuropod/backends/python_bridge/python_bridge.cc | 83.24% <100.00%> (ø) |
|
...rce/neuropod/backends/torchscript/torch_backend.cc | 81.26% <100.00%> (+1.43%) |
:arrow_up: |
source/python/neuropod/backends/python/utils.py | 100.00% <100.00%> (ø) |
Continue to review full report at Codecov.
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Summary:
A major release of the
protobuf
python package (4.21.0) came out a few hours ago. It appears thattensorflow
doesn't restrict the allowed versions of itsprotobuf
dependency. This causes TF 2.2.0 to break and therefore breaks Neuropod CI.An excerpt of the error:
More details in the comments of this PR
Test Plan:
CI