callbacks.py 文件源码

def _set_model(self, model):
        import tensorflow as tf
        import keras.backend.tensorflow_backend as KTF

        self.model = model
        self.sess = KTF.get_session()
        if self.histogram_freq and self.merged is None:
            for layer in self.model.layers:

                for weight in layer.weights:
                    tf.histogram_summary(weight.name, weight)

                    if self.write_images:
                        w_img = tf.squeeze(weight)

                        shape = w_img.get_shape()
                        if len(shape) > 1 and shape[0] > shape[1]:
                            w_img = tf.transpose(w_img)

                        if len(shape) == 1:
                            w_img = tf.expand_dims(w_img, 0)

                        w_img = tf.expand_dims(tf.expand_dims(w_img, 0), -1)

                        tf.image_summary(weight.name, w_img)

                if hasattr(layer, 'output'):
                    tf.histogram_summary('{}_out'.format(layer.name),
                                         layer.output)
        self.merged = tf.merge_all_summaries()
        if self.write_graph:
            if parse_version(tf.__version__) >= parse_version('0.8.0'):
                self.writer = tf.train.SummaryWriter(self.log_dir,
                                                     self.sess.graph)
            else:
                self.writer = tf.train.SummaryWriter(self.log_dir,
                                                     self.sess.graph_def)
        else:
            self.writer = tf.train.SummaryWriter(self.log_dir)