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))