def add_graph(self, ops): """ Add a graph to the current tensorboard run Arguments: ops (Op, Iterable): Ops to serialize as a TensorFlow Graph """ graph_def = ngraph_to_tf_graph_def(ops) self._write_event(create_event(graph_def=graph_def))
def add_scalar(self, name, scalar, step=None): """ Add a scalar to the current tensorboard run Arguments: name (str): Display name within tensorboard scalar (int, float): Scalar value to be logged step (int, optional): Step in the series. Optional, but should usually be provided. """ summ = summary.scalar(name, scalar) self._write_event(create_event(summary=summ, step=step))
def add_audio(self, name, audio, sample_rate, step=None): """ Add an audio clip to the current tensorboard run Arguments: name (str): Display name within tensorboard audio (ndarray): 2-D array containing the audio clip to be logged. It should be formatted as Frames by Channels. sample_rate (float): Sample rate of audio in Hertz step (int, optional): Step in the series """ summ = summary.audio(name, audio, sample_rate) self._write_event(create_event(summary=summ, step=step))
def add_histogram(self, name, sequence, step=None): """ Add a histogram to the current tensorboard run Arguments: name (str): Display name within tensorboard sequence (ndarray, Iterable): A sequence on which to compute a histogram of values step (int, optional): Step in the series. Optional, but should usually be provided. """ if isinstance(sequence, np.ndarray): sequence = np.ravel(sequence) summ = summary.histogram(name, sequence) self._write_event(create_event(summary=summ, step=step))
def add_image(self, name, image, step=None): """ Add an image to the current tensorboard run Arguments: name (str): Display name within tensorboard image (ndarray): 3-D array containing the image to be logged. It should be formatted as Height by Width by Channels, where 1 channel is greyscale, 3 channels is RGB, and 4 channels is RGBA. step (int, optional): Step in the series """ summ = summary.image(name, image) self._write_event(create_event(summary=summ, step=step))