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

Before Change

            layers = self.model.layers
            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"):

After Change

                        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)

Instances