utils_keras.py 文件源码

def fprop(self, x):
        """
        Exposes all the layers of the model returned by get_layer_names.
        :param x: A symbolic representation of the network input
        :return: A dictionary mapping layer names to the symbolic
                 representation of their output.
        """
        from keras.models import Model as KerasModel

        if self.keras_model is None:
            # Get the input layer
            new_input = self.model.get_input_at(0)

            # Make a new model that returns each of the layers as output
            out_layers = [x_layer.output for x_layer in self.model.layers]
            self.keras_model = KerasModel(new_input, out_layers)

        # and get the outputs for that model on the input x
        outputs = self.keras_model(x)

        # Keras only returns a list for outputs of length >= 1, if the model
        # is only one layer, wrap a list
        if len(self.model.layers) == 1:
            outputs = [outputs]

        # compute the dict to return
        fprop_dict = dict(zip(self.get_layer_names(), outputs))

        return fprop_dict