ludwig/modules/convolutional_modules.py [166:211]:
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        else:
            self.layers = layers

        for layer in self.layers:
            if 'num_filters' not in layer:
                layer['num_filters'] = default_num_filters
            if 'filter_size' not in layer:
                layer['filter_size'] = default_filter_size
            if 'strides' not in layer:
                layer['strides'] = default_strides
            if 'padding' not in layer:
                layer['padding'] = default_padding
            if 'dilation_rate' not in layer:
                layer['dilation_rate'] = default_dilation_rate
            if 'use_bias' not in layer:
                layer['use_bias'] = default_use_bias
            if 'weights_initializer' not in layer:
                layer['weights_initializer'] = default_weights_initializer
            if 'bias_initializer' not in layer:
                layer['bias_initializer'] = default_bias_initializer
            if 'weights_regularizer' not in layer:
                layer['weights_regularizer'] = default_weights_regularizer
            if 'bias_regularizer' not in layer:
                layer['bias_regularizer'] = default_bias_regularizer
            if 'activity_regularizer' not in layer:
                layer['activity_regularizer'] = default_activity_regularizer
            # if 'weights_constraint' not in layer:
            #     layer['weights_constraint'] = default_weights_constraint
            # if 'bias_constraint' not in layer:
            #     layer['bias_constraint'] = default_bias_constraint
            if 'norm' not in layer:
                layer['norm'] = default_norm
            if 'norm_params' not in layer:
                layer['norm_params'] = default_norm_params
            if 'activation' not in layer:
                layer['activation'] = default_activation
            if 'dropout' not in layer:
                layer['dropout'] = default_dropout
            if 'pool_function' not in layer:
                layer['pool_function'] = default_pool_function
            if 'pool_size' not in layer:
                layer['pool_size'] = default_pool_size
            if 'pool_strides' not in layer:
                layer['pool_strides'] = default_pool_strides
            if 'pool_padding' not in layer:
                layer['pool_padding'] = default_pool_padding
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ludwig/modules/convolutional_modules.py [300:345]:
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        else:
            self.layers = layers

        for layer in self.layers:
            if 'num_filters' not in layer:
                layer['num_filters'] = default_num_filters
            if 'filter_size' not in layer:
                layer['filter_size'] = default_filter_size
            if 'strides' not in layer:
                layer['strides'] = default_strides
            if 'padding' not in layer:
                layer['padding'] = default_padding
            if 'dilation_rate' not in layer:
                layer['dilation_rate'] = default_dilation_rate
            if 'use_bias' not in layer:
                layer['use_bias'] = default_use_bias
            if 'weights_initializer' not in layer:
                layer['weights_initializer'] = default_weights_initializer
            if 'bias_initializer' not in layer:
                layer['bias_initializer'] = default_bias_initializer
            if 'weights_regularizer' not in layer:
                layer['weights_regularizer'] = default_weights_regularizer
            if 'bias_regularizer' not in layer:
                layer['bias_regularizer'] = default_bias_regularizer
            if 'activity_regularizer' not in layer:
                layer['activity_regularizer'] = default_activity_regularizer
            # if 'weights_constraint' not in layer:
            #     layer['weights_constraint'] = default_weights_constraint
            # if 'bias_constraint' not in layer:
            #     layer['bias_constraint'] = default_bias_constraint
            if 'norm' not in layer:
                layer['norm'] = default_norm
            if 'norm_params' not in layer:
                layer['norm_params'] = default_norm_params
            if 'activation' not in layer:
                layer['activation'] = default_activation
            if 'dropout' not in layer:
                layer['dropout'] = default_dropout
            if 'pool_function' not in layer:
                layer['pool_function'] = default_pool_function
            if 'pool_size' not in layer:
                layer['pool_size'] = default_pool_size
            if 'pool_strides' not in layer:
                layer['pool_strides'] = default_pool_strides
            if 'pool_padding' not in layer:
                layer['pool_padding'] = default_pool_padding
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