def define_jobs_context(self, context):
# let's convert all logs
for id_explog in Exp09.logs_to_learn:
self.call_recursive(context, 'convert',
RS2B, ['--config', self.get_config_dirs()[0], # XXX
'--dummy',
'convert-one',
'--boot_root', self.get_boot_root(),
'--id_explog', id_explog,
'--id_adapter', Exp09.id_adapter,
'--id_robot', Exp09.id_robot,
])
# Everything before needs to be done before we do the rest
context.checkpoint('conversion')
for c, id_agent in iterate_context_agents(context, Exp09.agents):
logs = Exp09.agents[id_agent]
c.subtask(LearnLog, agent=id_agent, robot=Exp09.id_robot, episodes=logs,
interval_publish=5000)
c.checkpoint('learning')
c.subtask(PublishLearningResult, agent=id_agent, robot=Exp09.id_robot)
for cc, id_episode in iterate_context_episodes(c, Exp09.test_episodes):
cc.subtask(ServoField,
id_robot=Exp09.id_robot, id_agent=id_agent, id_episode=id_episode,
variation='default')
def define_jobs_context(self, context):
id_agent = 'exp04_bdse1'
id_robot = 'exp05_uA_xy'
id_convert_job = 'exp05_uA_xy'
jobs_convert = self.call_recursive(context, 'convert',
RS2B, ['--config', self.get_config_dirs()[0], # XXX
'--dummy',
'convert',
'--boot_root', self.get_boot_root(),
'--jobs', id_convert_job,
])
jobs_learn = context.subtask(LearnLog, agent=id_agent, robot=id_robot,
interval_publish=5000,
extra_dep=jobs_convert.all_jobs())
test_episodes = [
'unicornA_tran1_2013-04-12-23-34-08'
]
for c, id_episode in iterate_context_episodes(context, test_episodes):
c.subtask(ServoField, id_robot=id_robot, id_agent=id_agent,
variation='default',
id_episode=id_episode,
extra_dep=jobs_learn.all_jobs())
def define_jobs_context(self, context):
id_agent = 'exp10_bdser1'
id_robot = 'uA_b1_tw_cf'
id_adapter = 'uA_b1_tw_cf'
explogs_learn = good_logs_cf
explogs_test = ['unicornA_tran1_2013-04-12-23-34-08']
explogs_convert = explogs_learn + explogs_test
for c, id_explog in iterate_context_explogs(context, explogs_convert):
c.subtask(RS2BConvertOne,
boot_root=self.get_boot_root(),
id_explog=id_explog,
id_adapter=id_adapter,
id_robot=id_robot)
context.checkpoint('conversion')
context.subtask(LearnLog, agent=id_agent, robot=id_robot, interval_publish=5000)
context.checkpoint('learning')
context.subtask(PublishLearningResult, agent=id_agent, robot=id_robot)
test_episodes = explogs_test
for c, id_episode in iterate_context_episodes(context, test_episodes):
c.subtask(ServoField, id_robot=id_robot, id_agent=id_agent,
variation='default', id_episode=id_episode)
def define_jobs_context(self, context):
id_adapter = 'unicornA_base1_tw_hlhr_sane_s4'
id_agent = 'bdse1'
id_robot = 'uA_b1_tw_hlhr_s4'
variation = 'default'
test_episodes = [
'unicornA_tran1_2013-04-12-23-34-08'
]
for c, id_episode in iterate_context_episodes(context, test_episodes):
id_explog = id_episode
jobs_convert = self.call_recursive(c, 'convert',
RS2B, ['--config', self.get_config_dirs()[0], # XXX
'--dummy',
'convert-one',
'--boot_root', self.get_boot_root(),
'--id_explog', id_explog,
'--id_adapter', id_adapter,
'--id_robot', id_robot])
self.call_recursive(c, 'servo_field',
ServoField, dict(id_robot=id_robot,
id_agent=id_agent,
variation=variation,
id_episode=id_episode),
extra_dep=jobs_convert)
def define_jobs_context(self, context):
id_agent = 'exp10_bdser1'
id_robot = 'exp12_uA_b1_tw_cf'
id_adapter = 'uA_b1_tw_cf'
explogs_learn = good_logs_cf
explogs_test = ['unicornA_tran1_2013-04-12-23-34-08']
explogs_convert = explogs_learn + explogs_test
agent = None
for c, id_explog in iterate_context_explogs(context, explogs_convert):
episodes = c.subtask(RS2BConvertOne,
boot_root=self.get_boot_root(),
id_explog=id_explog,
id_adapter=id_adapter,
id_robot=id_robot)
if id_explog in explogs_learn:
agent_i = c.subtask(LearnLogNoSave, agent=id_agent, robot=id_robot,
episodes=episodes)
if agent is None:
agent = agent_i
else:
agent = context.comp(merge_agents, agent, agent_i)
id_episodes = explogs_learn
data_central = self.get_data_central()
context.comp(save_state, data_central, id_agent, id_robot, agent, id_episodes)
context.checkpoint('learning')
context.subtask(PublishLearningResult, agent=id_agent, robot=id_robot)
test_episodes = [
'unicornA_tran1_2013-04-12-23-34-08'
]
for c, id_episode in iterate_context_episodes(context, test_episodes):
c.subtask(ServoField, id_robot=id_robot, id_agent=id_agent,
variation='default', id_episode=id_episode)
def define_jobs_context(self, cc):
id_agent = 'exp13_bdser1'
id_robot = 'exp13_uA_b1_tw_cf'
id_adapter = 'uA_b1_tw_cf_strip'
explogs_learn = good_logs_cf
explogs_test = ['unicornA_tran1_2013-04-12-23-34-08']
explogs_convert = explogs_learn + explogs_test
for c, id_explog in iterate_context_explogs(cc, explogs_convert):
c.subtask(RS2BConvertOne,
boot_root=self.get_boot_root(),
id_explog=id_explog,
id_adapter=id_adapter,
id_robot=id_robot)
cc.checkpoint('conversion')
cc.subtask(LearnLog, agent=id_agent, robot=id_robot, interval_publish=5000)
cc.checkpoint('learning')
cc.subtask(PublishLearningResult, agent=id_agent, robot=id_robot)
test_episodes = explogs_test
for c, id_episode in iterate_context_episodes(cc, test_episodes):
c.subtask(ServoField, id_robot=id_robot, id_agent=id_agent,
variation='default', id_episode=id_episode)
data_central = self.get_data_central()
cc.add_report(cc.comp(report_prediction,
data_central=data_central,
id_agent=id_agent,
id_robot=id_robot),
'prediction', id_agent=id_agent, id_robot=id_robot)
cc.add_report(cc.comp(report_prediction2,
data_central=data_central,
id_agent=id_agent,
id_robot=id_robot),
'prediction2', id_agent=id_agent, id_robot=id_robot)
def define_jobs_context(self, context):
id_agent = "exp06_bgds1"
id_robot = "exp05_uA_xy"
id_convert_job = "exp05_uA_xy"
jobs_convert = self.call_recursive(
context,
"convert",
RS2B,
[
"--config",
self.get_config_dirs()[0], # XXX
"--dummy",
"convert",
"--boot_root",
self.get_boot_root(),
"--jobs",
id_convert_job,
],
)
jobs_learn = context.subtask(
LearnLog, agent=id_agent, robot=id_robot, interval_publish=5000, extra_dep=jobs_convert.all_jobs()
)
test_episodes = ["unicornA_tran1_2013-04-12-23-34-08"]
for c, id_episode in iterate_context_episodes(context, test_episodes):
c.subtask(
ServoField,
id_robot=id_robot,
id_agent=id_agent,
variation="default",
id_episode=id_episode,
extra_dep=jobs_learn.all_jobs(),
)
