analyse_speed_convergence ▶ Speed Convergence Report
▶
root:
{} 11 keys
report_name:
'analyse_speed_convergence'
route_list:
'/home/batman/xx/routes/default_test_2k'
output_dir:
null
save_tmp:
false
read_only:
false
limit:
10000
use_virtual_webgl:
false
format:
'HTML'
▶
miniray:
{} 8 keys
priority:
10
job_name:
'analyse_speed_convergence'
queue_name:
'remote2'
submit_host:
'redis.comma.internal'
result_host:
'data-ram.comma.internal'
no_unique_id:
false
codedir:
'caches/workstation-yassine_2025-06-07_19-42-25'
force_local:
false
num_retries:
3
▶
rollout:
{} 10 keys
type:
'CarlaRL'
nowindow:
false
debug:
false
debug_render:
true
save_observation_keys:
['step_idx', 'debug_rendered']
output_dir:
null
rerun:
false
▶
env:
{} 29 keys
debug_window_size:
[512, 512]
▶
ep:
{} 7 keys
segment:
''
augment_desire:
false
depth_type:
'EASYDEPTH'
calibration_source:
'LOG'
pipeline_dir:
'http://data-ssd.comma.life/runner/training_2024_06'
feature_dir:
null
▶
input_paths:
{} 0 keys
start:
null
end:
null
env:
'xx.arena.envs.carla_env.CarlaSimEnv'
get_imgs:
true
allow_resets:
true
zero_desire:
false
fps:
20
allow_lat:
false
allow_long:
true
min_hist:
40
compressor_model:
null
compressor_mode:
'NONE'
quantized_compressor_latents:
false
yolo_model:
false
lpips_model:
false
sharpness_metric:
true
future_observation_range_seconds:
null
seed:
false
port_idx:
false
noise_model:
'NONE'
photo_noise_model:
'NONE'
augment_mode:
'SIMPLE'
inpaint_mode:
'NONE'
▶
desire:
{} 0 keys
future_target_velocity:
null
scenario_name:
'default'
▶
scenario:
{} 8 keys
name:
''
description:
''
length:
1200
▶
ego_spawn:
{} 5 keys
position:
[0.0, 0.0]
heading:
false
velocity:
10.0
policy:
'ZERO'
policy_seed:
null
▶
scene:
{} 6 keys
traffic_light_plan:
[]
sim_map:
'highway'
lane_idx:
false
lane_num:
5
lane_width:
3.7
spawn_lead_car:
false
render_off_screen:
true
▶
lead_spawn:
{} 5 keys
position:
[1000.0, 0.0]
heading:
false
velocity:
false
policy:
'ZERO'
policy_seed:
null
gt_cache_dir:
null
▶
agent:
{} 12 keys
supercombo:
'b92dd772-6ae6-4329-880d-7e1cc60dd9da/700'
restrict_outputs:
null
exclude_outputs:
['imgs']
calibrate_speed:
false
use_allow_throttle:
false
use_prev_desired_curv:
true
model_trained_fps:
5
use_worldmodel_as_agent:
false
use_raw_plan_lat:
false
use_raw_plan_long:
false
desired_curv_smooth_seconds:
false
desired_accel_smooth_seconds:
false
▶
shadow_agent:
{} 0 keys
(Number of lanes: 5) Convergence rate: 10/27 (37.04%) Note: Convergence is determined by the standard deviation of speed at the last 200 frames. Which means the speed was stable at the end and not that it converged to some specific value.
Initial scene thumbnail from center lane 
