9bc2e60fd587389701c077f5bbff69250d6fb0b1,keras/callbacks.py,TensorBoard,_set_model,#TensorBoard#Any#,464

Before Change

            for layer in layers:
                if hasattr(layer, "W"):
                    tf.histogram_summary("{}_W".format(layer.name), layer.W)
                if hasattr(layer, "b"):
                    tf.histogram_summary("{}_b".format(layer.name), layer.b)
                if hasattr(layer, "output"):
                    tf.histogram_summary("{}_out".format(layer.name),
                                         layer.output)
        self.merged = tf.merge_all_summaries()

After Change

                    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)

Instances