class SummaryWriter:
def __init__(self, logdir, flush_secs=120):
self.writer = TensorboardSummaryWriter(
log_dir=logdir,
purge_step=None,
max_queue=10,
flush_secs=flush_secs,
filename_suffix='')
self.global_step = None
self.active = True
# ------------------------------------------------------------------------
# register add_* and set_* functions in summary module on instantiation
# ------------------------------------------------------------------------
this_module = sys.modules[__name__]
list_of_names = dir(SummaryWriter)
for name in list_of_names:
# add functions (without the 'add' prefix)
if name.startswith('add_'):
setattr(this_module, name[4:], getattr(self, name))
# set functions
if name.startswith('set_'):
setattr(this_module, name, getattr(self, name))
def set_global_step(self, value):
self.global_step = value
def set_active(self, value):
self.active = value
def add_audio(self, tag, snd_tensor, global_step=None, sample_rate=44100, walltime=None):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_audio(
tag, snd_tensor, global_step=global_step, sample_rate=sample_rate, walltime=walltime)
def add_custom_scalars(self, layout):
if self.active:
self.writer.add_custom_scalars(layout)
def add_custom_scalars_marginchart(self, tags, category='default', title='untitled'):
if self.active:
self.writer.add_custom_scalars_marginchart(tags, category=category, title=title)
def add_custom_scalars_multilinechart(self, tags, category='default', title='untitled'):
if self.active:
self.writer.add_custom_scalars_multilinechart(tags, category=category, title=title)
def add_embedding(self, mat, metadata=None, label_img=None, global_step=None,
tag='default', metadata_header=None):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_embedding(
mat, metadata=metadata, label_img=label_img, global_step=global_step,
tag=tag, metadata_header=metadata_header)
def add_figure(self, tag, figure, global_step=None, close=True, walltime=None):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_figure(
tag, figure, global_step=global_step, close=close, walltime=walltime)
def add_graph(self, model, input_to_model=None, verbose=False):
if self.active:
self.writer.add_graph(model, input_to_model=input_to_model, verbose=verbose)
def add_histogram(self, tag, values, global_step=None, bins='tensorflow', walltime=None, max_bins=None):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_histogram(
tag, values, global_step=global_step, bins=bins,
walltime=walltime, max_bins=max_bins)
def add_histogram_raw(self, tag, min, max, num, sum, sum_squares,
bucket_limits, bucket_counts, global_step=None,
walltime=None):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_histogram_raw(
tag, min=min, max=max, num=num, sum=sum, sum_squares=sum_squares,
bucket_limits=bucket_limits, bucket_counts=bucket_counts,
global_step=global_step, walltime=walltime)
def add_image(self, tag, img_tensor, global_step=None, walltime=None, dataformats='CHW'):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_image(
tag, img_tensor, global_step=global_step, walltime=walltime, dataformats=dataformats)
def add_image_with_boxes(self, tag, img_tensor, box_tensor, global_step=None,
walltime=None, rescale=1, dataformats='CHW'):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_image_with_boxes(
tag, img_tensor, box_tensor,
global_step=global_step, walltime=walltime,
rescale=rescale, dataformats=dataformats)
def add_images(self, tag, img_tensor, global_step=None, walltime=None, dataformats='NCHW'):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_images(
tag, img_tensor, global_step=global_step, walltime=walltime, dataformats=dataformats)
def add_mesh(self, tag, vertices, colors=None, faces=None, config_dict=None, global_step=None, walltime=None):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_mesh(
tag, vertices, colors=colors, faces=faces, config_dict=config_dict,
global_step=global_step, walltime=walltime)
def add_onnx_graph(self, graph):
if self.active:
self.writer.add_onnx_graph(graph)
def add_pr_curve(self, tag, labels, predictions, global_step=None,
num_thresholds=127, weights=None, walltime=None):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_pr_curve(
tag, labels, predictions, global_step=global_step,
num_thresholds=num_thresholds, weights=weights, walltime=walltime)
def add_pr_curve_raw(self, tag, true_positive_counts,
false_positive_counts,
true_negative_counts,
false_negative_counts,
precision,
recall,
global_step=None,
num_thresholds=127,
weights=None,
walltime=None):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_pr_curve_raw(
tag, true_positive_counts,
false_positive_counts,
true_negative_counts,
false_negative_counts,
precision,
recall,
global_step=global_step,
num_thresholds=num_thresholds,
weights=weights,
walltime=walltime)
def add_scalar(self, tag, scalar_value, global_step=None, walltime=None):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_scalar(
tag, scalar_value, global_step=global_step, walltime=walltime)
def add_scalars(self, main_tag, tag_scalar_dict, global_step=None, walltime=None):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_scalars(
main_tag, tag_scalar_dict, global_step=global_step, walltime=walltime)
def add_text(self, tag, text_string, global_step=None, walltime=None):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_text(
tag, text_string, global_step=global_step, walltime=walltime)
def add_video(self, tag, vid_tensor, global_step=None, fps=4, walltime=None):
if self.active:
global_step = self.global_step if global_step is None else global_step
self.writer.add_video(
tag, vid_tensor, global_step=global_step, fps=fps, walltime=walltime)
def close(self):
self.writer.close()
def __enter__(self):
return self.writer.__enter__()
def __exit__(self, exc_type, exc_val, exc_tb):
return self.writer.__exit__(exc_type, exc_val, exc_tb)
