runtime error

Exit code: 1. Reason: register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered E0000 00:00:1747293039.940548 1 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered W0000 00:00:1747293039.952072 1 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once. W0000 00:00:1747293039.952097 1 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once. W0000 00:00:1747293039.952099 1 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once. W0000 00:00:1747293039.952101 1 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once. 2025-05-15 09:10:39.955551: 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 113, in <module> gan = tf.keras.models.load_model(gan_path) 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=content/gan_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(content/gan_model/, call_endpoint='serving_default')` (note that your `call_endpoint` might have a different name).

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