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):
discdds_library = get_conftools_discdds()
discdds = discdds_library.expand_names(self.options.discdds)
discdds = natsorted(discdds)
tolerance = self.options.tolerance
for c, id_discdds in iterate_context_names(context, discdds):
r = c.comp_config(report_dds_geometry, id_discdds, tolerance=tolerance)
c.add_report(r, 'dds_geometry', tolerance=tolerance, dds=id_discdds)
def define_jobs_context(self, context):
discdds_library = get_conftools_discdds()
discdds = discdds_library.expand_names(self.options.discdds)
discdds = natsorted(discdds)
tolerance = self.options.tolerance
for c, id_discdds in iterate_context_names(context, discdds):
r = c.comp_config(report_dds_geometry,
id_discdds,
tolerance=tolerance)
c.add_report(r,
'dds_geometry',
tolerance=tolerance,
dds=id_discdds)
def define_jobs_context(self, context):
config = get_diffeo2ddslearn_config()
nsamples = self.options.nsamples
which = self.options.streams
todo = config.streams.expand_names(which)
self.info('given streams: %s' % which)
self.info('using streams: %s' % todo)
for c, id_stream in iterate_context_names(context, todo):
report = c.comp_config(make_stream_report,
id_stream, nsamples=nsamples)
c.add_report(report, 'stream_report',
id_stream=id_stream, nsamples=nsamples)
def define_jobs_context(self, context):
config = get_diffeo2ddslearn_config()
nsamples = self.options.nsamples
which = self.options.streams
todo = config.streams.expand_names(which)
self.info('given streams: %s' % which)
self.info('using streams: %s' % todo)
for c, id_stream in iterate_context_names(context, todo):
report = c.comp_config(make_stream_report,
id_stream,
nsamples=nsamples)
c.add_report(report,
'stream_report',
id_stream=id_stream,
nsamples=nsamples)
