def main():
init_database(args.logdir)
py_filename = osp.join('jacmldash.py')
if osp.isfile(py_filename):
logger.critical('Loading JacMLDash config: {}.'.format(
osp.abspath(py_filename)))
config = load_source(py_filename)
if hasattr(config, 'ui_methods'):
register_ui_methods(config.ui_methods)
if hasattr(config, 'run_methods'):
register_run_methods(config.run_methods)
if hasattr(config, 'custom_pages'):
register_custom_pages(config.custom_pages)
if args.cli:
from IPython import embed
embed()
return
app = make_app(
[
'mldash.web.app.index', 'mldash.web.app.experiment',
'mldash.plugins.tensorboard.handler',
'mldash.plugins.trashbin.handler', 'mldash.plugins.star.handler',
'mldash.plugins.viewer.handler'
], {
'gzip': True,
'debug': args.debug,
'xsrf_cookies': True,
'static_path': get_static_path(),
'template_path': get_template_path(),
'ui_methods': get_ui_methods(),
"cookie_secret": "20f42d0ae6548e88cf9788e725b298bd",
"session_secret":
"3cdcb1f00803b6e78ab50b466a40b9977db396840c28307f428b25e2277f1bcc",
"frontend_secret":
"asdjikfh98234uf9pidwja09f9adsjp9fd6840c28307f428b25e2277f1bcc",
"cookie_prefix": 'jac_',
'session_engine': 'off',
})
app.listen(args.port, xheaders=True)
logger.critical('Mainloop started. Port: {}.'.format(args.port))
loop = tornado.ioloop.IOLoop.current()
loop.start()
def main():
init_database('.')
ProjectMetainfo.set_all({
'title': 'Test',
'create_time': '2019-09-05 15:44:27',
'update_time': '2019-09-05 15:44:27'
})
print(ProjectMetainfo.get_all())
print('Create the desc')
desc, _ = Desc.get_or_create(desc_name='desc_xxx')
print('Create the expr')
expr, _ = Experiment.get_or_create(expr_name='expr1', desc=desc)
print('Create the runs')
train_run = Run(expr=expr,
run_name='train1' + str(time.time()),
command='jac-run xxx',
args='{xxx}',
configs='{xxx}',
highlight_args='{yyy}',
highlight_configs='{yyy}')
test_run = Run(expr=expr,
run_name='test1' + str(time.time()),
command='jac-run xxx',
args='{xxx}',
configs='{xxx}',
highlight_args='{yyy}',
highlight_configs='{yyy}',
refer=train_run)
from IPython import embed
embed()
train_run.save()
test_run.save()
def __init__(self, dump_dir):
self.dump_dir = dump_dir
init_database(self.dump_dir)
self.desc = None
self.expr = None
self.run = None