tawheeler / forwardnets.jl Goto Github PK

Hi, tawheeler,
Thanks for the great work. But when I use the package with antomotivedrivingmodels, it reports too many params for forwardnet, even when I try with simple inputs as your example, it reports the same error. Could you help me with it?

The traceback is as following:

(d_gail_2.7)gail-driver-master $ python train_gail_model.py
<julia_sim.py>: julia env dict: {'Auto2D': '/Users///gail-driver-master/julia/envs/Auto2D.jl'}
statistics of initial_obs_mean (dimension: 51 )
2018-10-17 14:12:36.789179 +03 | Warning: skipping Gym environment monitoring since snapshot_dir not configured.
<gym_env.py>: env: Auto2D-v0
site-packages:gym:envs:registration.py register.make(id): Auto2D-v0
site-packages:gym:envs:registration.py envspec.make(): _entry_point: rltools.envs.julia_sim:JuliaEnvWrapper
site-packages:pkg_resources:__init__.py require wainings
gym:registration.py: result: <class 'rltools.envs.julia_sim.JuliaEnvWrapper'>
WARNING: Method definition describe(AbstractArray) in module StatsBase at /Users//.julia/v0.5/StatsBase/src/scalarstats.jl:560 overwritten in module DataFrames at /Users/*/.julia/v0.5/DataFrames/src/abstractdataframe/abstractdataframe.jl:407.
calling ForwardNets
gen_simparams is truly called with initialization
nokey in args with trajdata_filepaths
loading trajdatas: Any[1,2,3,4,5,6]
elapsed time: 43.239445775 seconds
loading training segments
elapsed time: 43.052144272 seconds
gen_simparams called
SimParam called
col_weight:0.0
off_weight:0.0
rev_weight0.0
jrk_weight0.0
acc_weight0.0
cen_weight0.0
ome_weight0.0
use_debug_rewardfalse
use_playback_reactivefalse
model_allfalse
playback_reactive_threshold_brake-2.0
nsimstates1
prime_history2
nsteps100
ego_action_type: AutomotiveDrivingModels.AccelTurnrate
extractor: Auto2D.MultiFeatureExtractor(true,false,true,false,true,Auto2D.LidarSensor([-2.82743,-2.51327,-2.19911,-1.88496,-1.5708,-1.25664,-0.942478,-0.628319,-0.314159,0.0,0.314159,0.628319,0.942478,1.25664,1.5708,1.88496,2.19911,2.51327,2.82743,3.14159],[2.8947e-314,2.8947e-314,2.87968e-314,2.87968e-314,2.8947e-314,2.8947e-314,2.87968e-314,2.87968e-314,2.88483e-314,2.87968e-314,2.87968e-314,2.90621e-314,2.87968e-314,2.87968e-314,2.87875e-314,2.87875e-314,2.87873e-314,2.87873e-314,2.87873e-314,0.0],[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.91692e-323,0.0,0.0,0.0,0.0,0.0,0.0,0.0],100.0,ConvexPolygon: len 0 (max 4 pts)
),Auto2D.RoadlineLidarSensor(Float64[],,100.0,ConvexPolygon: len 0 (max 4 pts)
),Auto2D.RoadwayLidarCulling(true,Inf,-Inf,Inf,-Inf,#undef,#undef,#undef,#undef,Auto2D.LanePortion[]))
context: AutomotiveDrivingModels.IntegratedContinuous(0.1,1)
features: initialized

safety_policy AutomotiveDrivingModels.LatLonSeparableDriver(AutomotiveDrivingModels.IntegratedContinuous(0.1,1),AutomotiveDrivingModels.ProportionalLaneTracker(NaN,0.1,3.0,2.0),AutomotiveDrivingModels.IntelligentDriverModel(NaN,0.1,1.0,4.0,0.5,29.0,1.0,3.0,2.5,9.0))
playback_reactive_modelAutomotiveDrivingModels.LatLonSeparableDriver(AutomotiveDrivingModels.IntegratedContinuous(0.1,1),AutomotiveDrivingModels.ProportionalLaneTracker(NaN,0.1,3.0,2.0),AutomotiveDrivingModels.IntelligentDriverModel(NaN,0.1,1.0,4.0,0.5,29.0,1.0,3.0,2.5,9.0))

choosing layer:
basepath:iter00413/mlp_policy
layers:String["hidden_0","hidden_1","hidden_2","hidden_3"]
pull w:13056
pull b:256
Traceback (most recent call last):
File "train_gail_model.py", line 222, in
g_env = normalize(GymEnv(env_id),
File "/Users//PycharmProjects/gail-driver-master/rllab/envs/gym_env.py", line 73, in init
env = gym.envs.make(env_name)
File "/Users//anaconda3/envs/d_gail_2.7/lib/python2.7/site-packages/gym/envs/registration.py", line 173, in make
return registry.make(id)
File "/Users//anaconda3/envs/d_gail_2.7/lib/python2.7/site-packages/gym/envs/registration.py", line 125, in make
env = spec.make()
File "/Users//anaconda3/envs/d_gail_2.7/lib/python2.7/site-packages/gym/envs/registration.py", line 89, in make
env = cls(**self._kwargs)
File "/Users//PycharmProjects/gail-driver-master/rltools/envs/julia_sim.py", line 442, in init
JuliaEnvWrapper._param_dict)
File "/Users//PycharmProjects/gail-driver-master/rltools/envs/julia_sim.py", line 49, in init
self.simparams = self.j.gen_simparams(batch_size, param_dict)
RuntimeError: Julia exception: ErrorException("too many parameters for type ForwardNet")

Thanks a lot for the help. Looking forward to your response.

Hi

Thanks for sharing this packages. Could you please provide one example to use the package? I think it would be better for others' understanding.