def define_jobs_context(self, context):
boot_root = self.get_boot_root()
data_central = self.get_data_central()
GlobalConfig.global_load_dir('default')
recipe_agentlearn_by_parallel_concurrent(context, data_central,
Exp23.explogs_learn, n=8, only_agents=['exp23_diffeof', 'exp23_diffeo_fast'])
recipe_agentlearn_by_parallel(context, data_central,
Exp23.explogs_learn,
only_agents=['stats2'])
from diffeo2dds_learn.programs.devel.save_video import video_visualize_diffeo_stream1_robot
for c, id_robot in iterate_context_names(context, Exp23.robots):
out = os.path.join(context.get_output_dir(),
'videos', '%s-diffeo_stream1.mp4' % id_robot)
c.comp_config(video_visualize_diffeo_stream1_robot,
id_robot=id_robot, boot_root=boot_root,
out=out)
for id_robot in Exp23.robots:
recipe_episodeready_by_convert2(context, boot_root, id_robot)
jobs_publish_learning_agents_robots(context, boot_root,
Exp23.agents, Exp23.robots)
def define_jobs_context(self, context):
boot_root = self.get_boot_root()
data_central = self.get_data_central()
GlobalConfig.global_load_dir('default')
recipe_agentlearn_by_parallel_concurrent(context, data_central, Exp22.explogs_learn)
for id_robot in Exp22.robots:
recipe_episodeready_by_convert2(context, boot_root, id_robot)
jobs_publish_learning_agents_robots(context, boot_root,
Exp22.agents, Exp22.robots)
def define_jobs_context(self, context):
boot_root = self.get_boot_root()
data_central = self.get_data_central()
GlobalConfig.global_load_dir('default')
recipe_agentlearn_by_parallel_concurrent(context, data_central, \
Exp24.explogs_learn, n=8, only_agents=['exp23_diffeof', 'exp23_diffeo_fast'])
recipe_agentlearn_by_parallel(context, data_central,
Exp24.explogs_learn,
only_agents=['stats2'])
for id_robot in Exp24.robots:
recipe_episodeready_by_convert2(context, boot_root, id_robot)
jobs_publish_learning_agents_robots(context, boot_root,
Exp24.agents, Exp24.robots)
