runtime error

Exit code: 1. Reason: computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2025-06-26 00:00:05.972521: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used. 2025-06-26 00:00:06.001788: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered 2025-06-26 00:00:06.001811: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 2025-06-26 00:00:06.002828: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 2025-06-26 00:00:06.008005: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used. 2025-06-26 00:00:06.008188: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2025-06-26 00:00:06.820022: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT Traceback (most recent call last): File "/home/user/app/app.py", line 2, in <module> from bald_face import BaldFace File "/home/user/app/bald_face.py", line 15, in <module> from retinaface import RetinaFace File "/usr/local/lib/python3.10/site-packages/retinaface/RetinaFace.py", line 14, in <module> from retinaface.model import retinaface_model File "/usr/local/lib/python3.10/site-packages/retinaface/model/retinaface_model.py", line 31, in <module> from tensorflow.keras.models import Model ModuleNotFoundError: No module named 'tensorflow.keras'

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