def dump_tabular(*args, **kwargs):
wh = kwargs.pop("write_header", None)
if _tabular:
if _log_tabular_only:
table_printer.print_tabular(_tabular)
else:
for line in tabulate(_tabular).split('\n'):
log(line, *args, **kwargs)
tabular_dict = dict(_tabular)
# Also write to the csv files
# This assumes that the keys in each iteration won't change!
for tabular_fd in list(_tabular_fds.values()):
writer = csv.DictWriter(tabular_fd,
fieldnames=list(tabular_dict.keys()))
if wh or (wh is None
and tabular_fd not in _tabular_header_written):
writer.writeheader()
_tabular_header_written.add(tabular_fd)
writer.writerow(tabular_dict)
tabular_fd.flush()
del _tabular[:]
# write to the tensorboard folder
# This assumes that the keys in each iteration won't change!
dump_tensorboard(args, kwargs)
def refresh(self):
import os
rows, columns = os.popen('stty size', 'r').read().split()
tabulars = self.tabulars[-(int(rows) - 3):]
sys.stdout.write("\x1b[2J\x1b[H")
sys.stdout.write(tabulate(tabulars, self.headers))
sys.stdout.write("\n")