convolutional.py 文件源码

def get_config(self):
        config = {'filters_simple': self.filters_simple,
                  'filters_complex': self.filters_complex,
                  'filters_temporal': self.filters_temporal,
                  'spatial_kernel_size': self.spatial_kernel_size,
                  'temporal_frequencies': self.temporal_frequencies,
                  'temporal_frequencies_initial_max': self.temporal_frequencies_initial_max,
                  'temporal_frequencies_scaling': self.temporal_frequencies_scaling,
                  'strides': self.strides,
                  'padding': self.padding,
                  'data_format': self.data_format,
                  'dilation_rate': self.dilation_rate,
                  'activation': activations.serialize(self.activation),
                  'use_bias': self.use_bias,
                  'spatial_kernel_initializer': initializers.serialize(self.spatial_kernel_initializer),
                  'temporal_kernel_initializer': initializers.serialize(self.temporal_kernel_initializer),
                  'temporal_frequencies_initializer': initializers.serialize(self.temporal_frequencies_initializer),
                  'bias_initializer': initializers.serialize(self.bias_initializer),
                  'spatial_kernel_regularizer': regularizers.serialize(self.spatial_kernel_regularizer),
                  'temporal_kernel_regularizer': regularizers.serialize(self.temporal_kernel_regularizer),
                  'temporal_frequencies_regularizer': regularizers.serialize(self.temporal_frequencies_regularizer),
                  'bias_regularizer': regularizers.serialize(self.bias_regularizer),
                  'activity_regularizer': regularizers.serialize(self.activity_regularizer),
                  'spatial_kernel_constraint': constraints.serialize(self.spatial_kernel_constraint),
                  'temporal_kernel_constraint': constraints.serialize(self.temporal_kernel_constraint),
                  'temporal_frequencies_constraint': constraints.serialize(self.temporal_frequencies_constraint),
                  'bias_constraint': constraints.serialize(self.bias_constraint)
                  }
        base_config = super(Convolution2DEnergy_TemporalBasis2, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

# separate biases per channel