runtime error

Exit code: 1. Reason: EDNN_OPTS=0`. 2025-01-31 21:03:32.043748: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used. 2025-01-31 21:03:32.048484: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used. 2025-01-31 21:03:32.060189: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered WARNING: All log messages before absl::InitializeLog() is called are written to STDERR E0000 00:00:1738353812.076128 1 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered E0000 00:00:1738353812.080479 1 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 2025-01-31 21:03:32.098949: I tensorflow/core/platform/cpu_feature_guard.cc:210] 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. Traceback (most recent call last): File "/home/user/app/app.py", line 24, in <module> model = tf.keras.models.load_model(model_path) # Folder File "/usr/local/lib/python3.10/site-packages/keras/src/saving/saving_api.py", line 206, in load_model raise ValueError( ValueError: File format not supported: filepath=skimlit_max_trained_model. Keras 3 only supports V3 `.keras` files and legacy H5 format files (`.h5` extension). Note that the legacy SavedModel format is not supported by `load_model()` in Keras 3. In order to reload a TensorFlow SavedModel as an inference-only layer in Keras 3, use `keras.layers.TFSMLayer(skimlit_max_trained_model, call_endpoint='serving_default')` (note that your `call_endpoint` might have a different name).

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