def basic(iterations, profile):
options = Options()
options.serial = True
#options.accperclass = True
options.convlayers = 0
options.step = 20
options.combine = True
options.post_init()
x_train, y_train, x_test, y_test = get_dataset(options) # pylint: disable=unused-variable
model = train_network(get_model(x_test, options), options)
only_convolutional, _ = split_network(model, options.convlayers) # pylint: disable=unused-variable
cmd_string = """run_experiment(iterations, options, x_train, y_train, x_test, y_test,
model, only_convolutional, EXPERIMENT_DIR + '/basic.csv')"""
if profile:
cProfile.run(cmd_string, PROFILING_DIR + '/basic')
else:
exec(cmd_string)
def rot_first(iterations, profile):
options = Options()
options.serial = True
options.convlayers = 5
options.step = 20
options.combine = False
options.representatives = False
options.rotate_first = True
options.post_init()
x_train, y_train, x_test, y_test = get_dataset(options) # pylint: disable=unused-variable
model = train_network(get_model(x_test, options), options)
options.convlayers = get_last_conv_layer(model) + 1
only_convolutional, _ = split_network(model, options.convlayers) # pylint: disable=unused-variable
cmd_string = """run_experiment(iterations, options, x_train, y_train, x_test, y_test,
model, only_convolutional, EXPERIMENT_DIR + '/rotate_first.csv')"""
if profile:
cProfile.run(cmd_string, PROFILING_DIR + '/rotate_first')
else:
exec(cmd_string)
