Closed randyg3000 closed 1 year ago
Hi,
Thanks for reporting the issue. Tensorflow recently upgraded the protobuf version to 4.2, the incompatibility issue should be solved now.
Please find the working Gist here for reference: https://gist.github.com/sachinprasadhs/18df8d404dac2b70f013c692310d8eb5
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https://keras.io/guides/keras_cv/generate_images_with_stable_diffusion/
Linux orin1 5.10.65-tegra #1 SMP PREEMPT Mon May 16 20:58:07 PDT 2022 aarch64 aarch64 aarch64 GNU/Linux
After Installing (sudo pip3 install --upgrade keras-cv and sudo pip3 install --upgrade tensorflow) I receive the following error (note I received a different error after downgrading protobuf... see below) ... File "/home/orin/.local/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 If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc 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:
More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
**orin@orin1:~/keras-cv$ sudo pip3 install protobuf==3.19.***
Collecting protobuf==3.19.* Using cached protobuf-3.19.5-cp38-cp38-manylinux2014_aarch64.whl (913 kB) Installing collected packages: protobuf Attempting uninstall: protobuf Found existing installation: protobuf 3.20.1 Uninstalling protobuf-3.20.1: Successfully uninstalled protobuf-3.20.1 Successfully installed protobuf-3.19.5 orin@orin1:~/keras-cv$ python3 keras-cv-images.py Traceback (most recent call last): File "keras-cv-images.py", line 2, in
import keras_cv
File "/usr/local/lib/python3.8/dist-packages/keras_cv/init.py", line 16, in
from keras_cv import version_check
File "/usr/local/lib/python3.8/dist-packages/keras_cv/version_check.py", line 18, in
import tensorflow as tf
File "/usr/local/lib/python3.8/dist-packages/tensorflow/init.py", line 37, in
from tensorflow.python.tools import module_util as _module_util
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/init.py", line 37, in
from tensorflow.python.eager import context
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/context.py", line 29, in
from tensorflow.core.framework import function_pb2
File "/usr/local/lib/python3.8/dist-packages/tensorflow/core/framework/function_pb2.py", line 16, in
from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attrvaluepb2
File "/usr/local/lib/python3.8/dist-packages/tensorflow/core/framework/attr_value_pb2.py", line 16, in
from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensorpb2
File "/usr/local/lib/python3.8/dist-packages/tensorflow/core/framework/tensor_pb2.py", line 16, in
from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resourcehandlepb2
File "/usr/local/lib/python3.8/dist-packages/tensorflow/core/framework/resource_handle_pb2.py", line 16, in
from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensorshapepb2
File "/usr/local/lib/python3.8/dist-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 36, in
_descriptor.FieldDescriptor(
File "/home/orin/.local/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:
More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates