runtime error

to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2023-08-09 04:43:18.888871: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2023-08-09 04:43:19.855007: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64 2023-08-09 04:43:19.855134: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64 2023-08-09 04:43:19.855146: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly. Traceback (most recent call last): File "app.py", line 2, in <module> from keras_cv import models File "/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/keras_cv/__init__.py", line 27, in <module> version_check.check_tf_version() File "/home/user/.pyenv/versions/3.8.9/lib/python3.8/site-packages/keras_cv/version_check.py", line 26, in check_tf_version raise RuntimeError( RuntimeError: The Tensorflow package version needs to be at least 2.12.0 for KerasCV to run. Currently, your TensorFlow version is 2.11.0. Please upgrade with `$ pip install --upgrade tensorflow`. You can use `pip freeze` to check afterwards that everything is ok.

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