def __init__(self, output_folder, n_toy, n_input_mc, centre_of_mass, start_at=0, split=1):
Job.__init__(self)
self.output_folder = output_folder
self.n_toy = n_toy
self.centre_of_mass = centre_of_mass
self.start_at = start_at
self.n_input_mc = n_input_mc
self.config = XSectionConfig(centre_of_mass)
self.part_of_split = split
def __init__(self, input_file, output_folder, variable, n_toy,
centre_of_mass, ttbar_xsection, met_type, start_at=1):
Job.__init__(self)
self.input_file = input_file
self.output_folder = output_folder
self.n_toy = n_toy
self.variable = variable
self.centre_of_mass = centre_of_mass
self.ttbar_xsection = ttbar_xsection
self.met_type = met_type
self.start_at = start_at
self.additional_input_files = [input_file]
def __init__(self,
output_folder,
n_toy,
n_input_mc,
centre_of_mass,
start_at=0,
split=1):
Job.__init__(self)
self.output_folder = output_folder
self.n_toy = n_toy
self.centre_of_mass = centre_of_mass
self.start_at = start_at
self.n_input_mc = n_input_mc
self.config = XSectionConfig(centre_of_mass)
self.part_of_split = split
def __init__(self,
input_file,
output_folder,
variable,
n_toy,
centre_of_mass,
ttbar_xsection,
met_type,
start_at=1):
Job.__init__(self)
self.input_file = input_file
self.output_folder = output_folder
self.n_toy = n_toy
self.variable = variable
self.centre_of_mass = centre_of_mass
self.ttbar_xsection = ttbar_xsection
self.met_type = met_type
self.start_at = start_at
self.additional_input_files = [input_file]
def __init__(self, input_file_directory, method, channels,
centre_of_mass, response, samples,
variables, n_toy_data,
output_folder, do_best_tau,
tau_values):
'''
Constructor
'''
Job.__init__(self)
self.input_file_directory = input_file_directory
self.method = method
self.centre_of_mass = centre_of_mass
self.response = response
self.all_samples = samples
self.n_toy_data = n_toy_data
self.output_folder = output_folder
self.all_channels = channels
self.all_variables = variables
self.do_best_tau = do_best_tau
self.all_tau_values = tau_values
self.cross_section_config = XSectionConfig(self.centre_of_mass)
def __init__(self, input_file_name, method, channel,
centre_of_mass, variable, n_toy_mc, n_toy_data,
output_folder, offset_toy_mc, offset_toy_data,
k_value, tau_value=-1, run_matrix=None):
'''
Constructor
'''
Job.__init__(self)
self.input_file_name = input_file_name
self.method = method
self.channel = channel
self.centre_of_mass = centre_of_mass
self.variable = variable
self.n_toy_mc = n_toy_mc
self.n_toy_data = n_toy_data
self.output_folder = output_folder
self.offset_toy_mc = offset_toy_mc
self.offset_toy_data = offset_toy_data
self.k_value = k_value
self.tau_value = tau_value
self.run_matrix = run_matrix
self.additional_input_files = [input_file_name]
def __init__(self, params):
Job.__init__(self)
time_id = datetime.now().strftime("%b-%d_%H:%M:%S")
base_folder = '_'.join([exp_name, time_id])
message = 'Executor: Aneeshan Sain\nDirectory: Stroke_correspondence/SBIR_QD \nDescription: Seeing basic Retrieval results for SBIR on QuickDraw-14 '
args = ['try2']
for i_exp, arg in enumerate(args):
tag = '14_classes'
save_dir = f'./condor_output/{base_folder}'
j = Job(
python_compiler,
run_file,
stream_output=True,
can_checkpoint=True,
approx_runtime=8, # in hours
artifact_dir=save_dir,
arguments=dict(base_dir=os.getcwd(),
saved_models=os.path.join(os.getcwd(), save_dir),
disable_tqdm='',
batchsize=16,
max_epoch=100,
learning_rate=0.0001),
tag='_'.join([exp_name, tag]) + '_')
sess.submit(j, conf)
print(f'Job {i_exp + 1} {exp_name} {tag} submitted at {str(time_id)}.')
# Report the job submission
# message += f'\n\nExperiment {i_exp + 1} :\n' + '\n'.join([f'{item[0]} -- {item[1]}' for item in arg.items()])
print(message)
# send_email('*****@*****.**', message)
def __init__(self, params):
Job.__init__(self)
