runtime error

Exit code: 1. Reason: e, 'steps_per_execution': None, 'jit_compile': None}}. Exception encountered: <class 'keras.src.layers.convolutional.conv2d.Conv2D'> 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': 'Conv2D', 'config': {'name': 'conv2d_6', 'trainable': True, 'dtype': 'float32', 'batch_input_shape': [None, 128, 67, 1], 'filters': 32, 'kernel_size': [6, 4], 'strides': [1, 1], 'padding': 'valid', 'data_format': 'channels_last', 'dilation_rate': [1, 1], 'groups': 1, '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, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}, 'registered_name': None, 'build_config': {'input_shape': [None, 128, 67, 1]}}. Exception encountered: Error when deserializing class 'Conv2D' using config={'name': 'conv2d_6', 'trainable': True, 'dtype': 'float32', 'batch_input_shape': [None, 128, 67, 1], 'filters': 32, 'kernel_size': [6, 4], 'strides': [1, 1], 'padding': 'valid', 'data_format': 'channels_last', 'dilation_rate': [1, 1], 'groups': 1, '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, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}. Exception encountered: Unrecognized keyword arguments passed to Conv2D: {'batch_input_shape': [None, 128, 67, 1]}

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