def search(self, specfile, specname):
"runs train mode multiple times across the parameterized specs"
logger.info(
f'Running lab mode:search with specfile:{specfile} specname:{specname}'
)
spec = spec_util.get(specfile, specname)
# assert 'spec_params' in spec
param_specs = spec_util.get_param_specs(spec)
search.run_param_specs(param_specs)
def read_spec_and_run(spec_file, spec_name, lab_mode):
'''Read a spec and run it in lab mode'''
logger.info(f'Running lab spec_file:{spec_file} spec_name:{spec_name} in mode:{lab_mode}')
if lab_mode in TRAIN_MODES:
spec = spec_util.get(spec_file, spec_name)
else: # eval mode
lab_mode, prename = lab_mode.split('@')
spec = spec_util.get_eval_spec(spec_file, prename)
if 'spec_params' not in spec:
run_spec(spec, lab_mode)
else: # spec is parametrized; run them in parallel using ray
param_specs = spec_util.get_param_specs(spec)
search.run_param_specs(param_specs)
def get_spec_and_run(spec_file, spec_name, lab_mode):
'''Read a spec and run it in lab mode'''
logger.info(f'Running lab spec_file:{spec_file} spec_name:{spec_name} in mode:{lab_mode}')
if '@' in lab_mode: # process lab_mode@{predir/prename}
lab_mode, pre_ = lab_mode.split('@')
else:
pre_ = None
spec = get_spec(spec_file, spec_name, lab_mode, pre_)
if 'spec_params' not in spec:
run_spec(spec, lab_mode)
else: # spec is parametrized; run them in parallel using ray
param_specs = spec_util.get_param_specs(spec)
search.run_param_specs(param_specs)