def log_diagnostics(self, paths, logger=default_logger):
super().log_diagnostics(paths)
MultitaskEnv.log_diagnostics(self, paths)
xvels = get_stat_in_paths(paths, 'env_infos', 'xvel')
desired_xvels = get_stat_in_paths(paths, 'env_infos', 'desired_xvel')
xvel_errors = get_stat_in_paths(paths, 'env_infos', 'xvel_error')
statistics = OrderedDict()
for stat, name in [
(xvels, 'xvels'),
(desired_xvels, 'desired xvels'),
(xvel_errors, 'xvel errors'),
]:
statistics.update(
create_stats_ordered_dict(
'{}'.format(name),
stat,
always_show_all_stats=True,
))
statistics.update(
create_stats_ordered_dict(
'Final {}'.format(name),
[s[-1] for s in stat],
always_show_all_stats=True,
))
for key, value in statistics.items():
logger.record_tabular(key, value)
def log_diagnostics(self, paths, logger=default_logger):
super().log_diagnostics(paths)
MultitaskEnv.log_diagnostics(self, paths)
statistics = OrderedDict()
for name_in_env_infos, name_to_log in [
('x_pos', 'X Position'),
('y_pos', 'Y Position'),
('dist_from_origin', 'Distance from Origin'),
('desired_x_pos', 'Desired X Position'),
('desired_y_pos', 'Desired Y Position'),
('desired_dist_from_origin', 'Desired Distance from Origin'),
('pos_error', 'Distance to goal'),
]:
stat = get_stat_in_paths(paths, 'env_infos', name_in_env_infos)
statistics.update(create_stats_ordered_dict(
name_to_log,
stat,
always_show_all_stats=True,
exclude_max_min=True,
))
for name_in_env_infos, name_to_log in [
('dist_from_origin', 'Distance from Origin'),
('desired_dist_from_origin', 'Desired Distance from Origin'),
('pos_error', 'Distance to goal'),
]:
stat = get_stat_in_paths(paths, 'env_infos', name_in_env_infos)
statistics.update(create_stats_ordered_dict(
'Final {}'.format(name_to_log),
[s[-1] for s in stat],
always_show_all_stats=True,
))
for key, value in statistics.items():
logger.record_tabular(key, value)
def log_diagnostics(self, paths, logger=default_logger):
super().log_diagnostics(paths)
MultitaskEnv.log_diagnostics(self, paths)
statistics = OrderedDict()
for stat_name in [
'pos_error',
'vel_error',
'weighted_pos_error',
'weighted_vel_error',
]:
stat = get_stat_in_paths(paths, 'env_infos', stat_name)
statistics.update(
create_stats_ordered_dict(
'{}'.format(stat_name),
stat,
always_show_all_stats=True,
))
statistics.update(
create_stats_ordered_dict(
'Final {}'.format(stat_name),
[s[-1] for s in stat],
always_show_all_stats=True,
))
weighted_error = (
get_stat_in_paths(paths, 'env_infos', 'weighted_pos_error') +
get_stat_in_paths(paths, 'env_infos', 'weighted_vel_error'))
statistics.update(
create_stats_ordered_dict(
"Weighted Error",
weighted_error,
always_show_all_stats=True,
))
statistics.update(
create_stats_ordered_dict(
"Final Weighted Error",
[s[-1] for s in weighted_error],
always_show_all_stats=True,
))
for key, value in statistics.items():
logger.record_tabular(key, value)
def log_diagnostics(self, paths, logger=default_logger):
super().log_diagnostics(paths)
statistics = OrderedDict()
euclidean_distances = get_stat_in_paths(paths, 'env_infos', 'distance')
statistics.update(
create_stats_ordered_dict('Euclidean distance to goal',
euclidean_distances))
statistics.update(
create_stats_ordered_dict(
'Final Euclidean distance to goal',
[d[-1] for d in euclidean_distances],
always_show_all_stats=True,
))
for key, value in statistics.items():
logger.record_tabular(key, value)