runtime error

Exit code: 1. Reason: different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2025-09-15 22:23:35.740500: 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. 2025-09-15 22:23:38.401268: I tensorflow/core/util/port.cc:153] 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`. 2025-09-15 22:23:38.402114: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used. matriculas_resnetv2.zip: 0%| | 0.00/767M [00:00<?, ?B/s] matriculas_resnetv2.zip: 4%|▎ | 28.7M/767M [00:01<00:41, 17.9MB/s] matriculas_resnetv2.zip: 82%|████████▏ | 632M/767M [00:02<00:00, 248MB/s]  matriculas_resnetv2.zip: 100%|██████████| 767M/767M [00:03<00:00, 224MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 45, in <module> model = get_model() File "/home/user/app/app.py", line 39, in get_model model = load_model(tmp_dir, safe_mode=False) File "/usr/local/lib/python3.10/site-packages/keras/src/saving/saving_api.py", line 209, in load_model raise ValueError( ValueError: File format not supported: filepath=/tmp/matriculas_resnetv2. 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(/tmp/matriculas_resnetv2, call_endpoint='serving_default')` (note that your `call_endpoint` might have a different name).

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