nohup: ignoring input WARNING: All log messages before absl::InitializeLog() is called are written to STDERR I0000 00:00:1787161873.582465 1015734 cpu_feature_guard.cc:227] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. Gagal memuat model/scaler: could not be deserialized properly. Please ensure that components that are Python object instances (layers, models, etc.) returned by `get_config()` are explicitly deserialized in the model's `from_config()` method. config={'module': 'keras', 'class_name': 'Sequential', 'config': {'name': 'sequential', 'trainable': True, 'dtype': {'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'float32'}, 'registered_name': None}, 'layers': [{'module': 'keras.layers', 'class_name': 'InputLayer', 'config': {'batch_shape': [None, 6, 1], 'dtype': 'float32', 'sparse': False, 'ragged': False, 'name': 'input_layer', 'optional': False}, 'registered_name': None}, {'module': 'keras.layers', 'class_name': 'LSTM', 'config': {'name': 'lstm', 'trainable': True, 'dtype': {'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'float32'}, 'registered_name': None}, 'return_sequences': True, 'return_state': False, 'go_backwards': False, 'stateful': False, 'unroll': False, 'zero_output_for_mask': False, 'units': 32, 'activation': 'tanh', 'recurrent_activation': 'sigmoid', 'use_bias': True, 'kernel_initializer': {'module': 'keras.initializers', 'class_name': 'GlorotUniform', 'config': {'seed': None}, 'registered_name': None, 'shared_object_id': 135877328227792}, 'recurrent_initializer': {'module': 'keras.initializers', 'class_name': 'Orthogonal', 'config': {'seed': None, 'gain': 1.0}, 'registered_name': None, 'shared_object_id': 135877333638496}, 'bias_initializer': {'module': 'keras.initializers', 'class_name': 'Zeros', 'config': {}, 'registered_name': None, 'shared_object_id': 135877333637440}, 'unit_forget_bias': True, 'kernel_regularizer': None, 'recurrent_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'recurrent_constraint': None, 'bias_constraint': None, 'dropout': 0.0, 'recurrent_dropout': 0.0, 'seed': None}, 'registered_name': None, 'build_config': {'input_shape': [None, 6, 1]}}, {'module': 'keras.layers', 'class_name': 'Dropout', 'config': {'name': 'dropout', 'trainable': True, 'dtype': {'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'float32'}, 'registered_name': None}, 'rate': 0.2, 'seed': None, 'noise_shape': None}, 'registered_name': None}, {'module': 'keras.layers', 'class_name': 'LSTM', 'config': {'name': 'lstm_1', 'trainable': True, 'dtype': {'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'float32'}, 'registered_name': None}, 'return_sequences': False, 'return_state': False, 'go_backwards': False, 'stateful': False, 'unroll': False, 'zero_output_for_mask': False, 'units': 16, 'activation': 'tanh', 'recurrent_activation': 'sigmoid', 'use_bias': True, 'kernel_initializer': {'module': 'keras.initializers', 'class_name': 'GlorotUniform', 'config': {'seed': None}, 'registered_name': None, 'shared_object_id': 135877335147216}, 'recurrent_initializer': {'module': 'keras.initializers', 'class_name': 'Orthogonal', 'config': {'seed': None, 'gain': 1.0}, 'registered_name': None, 'shared_object_id': 135877335149424}, 'bias_initializer': {'module': 'keras.initializers', 'class_name': 'Zeros', 'config': {}, 'registered_name': None, 'shared_object_id': 135877335147600}, 'unit_forget_bias': True, 'kernel_regularizer': None, 'recurrent_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'recurrent_constraint': None, 'bias_constraint': None, 'dropout': 0.0, 'recurrent_dropout': 0.0, 'seed': None}, 'registered_name': None, 'build_config': {'input_shape': [None, 6, 32]}}, {'module': 'keras.layers', 'class_name': 'Dropout', 'config': {'name': 'dropout_1', 'trainable': True, 'dtype': {'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'float32'}, 'registered_name': None}, 'rate': 0.2, 'seed': None, 'noise_shape': None}, 'registered_name': None}, {'module': 'keras.layers', 'class_name': 'Dense', 'config': {'name': 'dense', 'trainable': True, 'dtype': {'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'float32'}, 'registered_name': None}, 'units': 8, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'module': 'keras.initializers', 'class_name': 'GlorotUniform', 'config': {'seed': None}, 'registered_name': None}, 'bias_initializer': {'module': 'keras.initializers', 'class_name': 'Zeros', 'config': {}, 'registered_name': None}, 'kernel_regularizer': None, 'bias_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None, 'quantization_config': None}, 'registered_name': None, 'build_config': {'input_shape': [None, 16]}}, {'module': 'keras.layers', 'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable': True, 'dtype': {'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'float32'}, 'registered_name': None}, 'units': 1, 'activation': 'linear', 'use_bias': True, 'kernel_initializer': {'module': 'keras.initializers', 'class_name': 'GlorotUniform', 'config': {'seed': None}, 'registered_name': None}, 'bias_initializer': {'module': 'keras.initializers', 'class_name': 'Zeros', 'config': {}, 'registered_name': None}, 'kernel_regularizer': None, 'bias_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None, 'quantization_config': None}, 'registered_name': None, 'build_config': {'input_shape': [None, 8]}}], 'build_input_shape': [None, 6, 1]}, 'registered_name': None, 'build_config': {'input_shape': [None, 6, 1]}, 'compile_config': {'optimizer': {'module': 'keras.optimizers', 'class_name': 'Adam', 'config': {'name': 'adam', 'learning_rate': 0.0001250000059371814, 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'loss_scale_factor': None, 'gradient_accumulation_steps': None, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}, 'registered_name': None}, 'loss': 'mae', 'loss_weights': None, 'metrics': ['mae'], 'weighted_metrics': None, 'run_eagerly': False, 'steps_per_execution': 1, 'jit_compile': False}}. Exception encountered: could not be deserialized properly. Please ensure that components that are Python object instances (layers, models, etc.) returned by `get_config()` are explicitly deserialized in the model's `from_config()` method. config={'module': 'keras.layers', 'class_name': 'Dense', 'config': {'name': 'dense', 'trainable': True, 'dtype': {'module': 'keras', 'class_name': 'DTypePolicy', 'config': {'name': 'float32'}, 'registered_name': None}, 'units': 8, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'module': 'keras.initializers', 'class_name': 'GlorotUniform', 'config': {'seed': None}, 'registered_name': None}, 'bias_initializer': {'module': 'keras.initializers', 'class_name': 'Zeros', 'config': {}, 'registered_name': None}, 'kernel_regularizer': None, 'bias_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None, 'quantization_config': None}, 'registered_name': None, 'build_config': {'input_shape': [None, 16]}}. Exception encountered: Error when deserializing class 'Dense' using config={'name': 'dense', 'trainable': True, 'dtype': 'float32', 'units': 8, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'module': 'keras.initializers', 'class_name': 'GlorotUniform', 'config': {'seed': None}, 'registered_name': None}, 'bias_initializer': {'module': 'keras.initializers', 'class_name': 'Zeros', 'config': {}, 'registered_name': None}, 'kernel_regularizer': None, 'bias_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None, 'quantization_config': None}. Exception encountered: Unrecognized keyword arguments passed to Dense: {'quantization_config': None} * Serving Flask app 'app' * Debug mode: off WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead. * Running on all addresses (0.0.0.0) * Running on http://127.0.0.1:5000 * Running on http://202.10.43.97:5000 Press CTRL+C to quit 127.0.0.1 - - [20/Aug/2026 00:51:38] "GET / HTTP/1.1" 200 - 127.0.0.1 - - [20/Aug/2026 00:54:13] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 00:54:20] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 02:43:51] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 02:50:45] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 02:54:51] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 02:57:34] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 03:03:45] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 03:04:46] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 03:05:01] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 03:05:50] "POST /predict HTTP/1.1" 500 - ---------------------------------------- Exception occurred during processing of request from ('127.0.0.1', 41114) Traceback (most recent call last): File "/opt/alt/python310/lib64/python3.10/socketserver.py", line 316, in _handle_request_noblock self.process_request(request, client_address) File "/opt/alt/python310/lib64/python3.10/socketserver.py", line 697, in process_request t.start() File "/opt/alt/python310/lib64/python3.10/threading.py", line 935, in start _start_new_thread(self._bootstrap, ()) RuntimeError: can't start new thread ---------------------------------------- 127.0.0.1 - - [20/Aug/2026 03:12:44] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 03:16:31] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 03:16:52] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 03:18:54] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 03:26:25] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 03:26:47] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 03:27:00] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 03:27:58] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 03:51:38] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 04:22:46] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 04:23:55] "POST /predict HTTP/1.1" 500 - 127.0.0.1 - - [20/Aug/2026 04:24:07] "POST /predict HTTP/1.1" 500 -