def skeleton_autoencoder_imagenet(cluster, dir_name, executables,
compiler_name, weekly):
if cluster in ['surface', 'pascal']:
e = 'skeleton_autoencoder_imagenet: does not run on GPU'
print('Skip - ' + e)
pytest.skip(e)
if compiler_name not in executables:
e = 'skeleton_autoencoder_imagenet: default_exes[%s] does not exist' % compiler_name
print('Skip - ' + e)
pytest.skip(e)
model_folder = 'models/autoencoder_imagenet'
model_name = 'conv_autoencoder_imagenet'
should_log = False
actual_objective_functions = common_code.skeleton(
cluster,
dir_name,
executables[compiler_name],
model_folder,
model_name,
DATA_FIELDS,
should_log,
compiler_name=compiler_name,
weekly=weekly)
frequency_str = '_nightly'
if weekly:
frequency_str = '_weekly'
run_tests(actual_objective_functions, model_name, dir_name, cluster,
should_log, compiler_name, frequency_str)
def skeleton_autoencoder_mnist(cluster, dir_name, executables, compiler_name):
if compiler_name not in executables:
pytest.skip('default_exes[%s] does not exist' % compiler_name)
model_folder = 'models/autoencoder_mnist'
model_name = 'conv_autoencoder_mnist'
should_log=False
actual_objective_functions = common_code.skeleton(cluster, dir_name, executables[compiler_name], model_folder, model_name, DATA_FIELDS, should_log, compiler_name=compiler_name)
run_tests(actual_objective_functions, model_name, dir_name, cluster, should_log, compiler_name)
def skeleton_performance_lenet_mnist(cluster, dir_name, executables, compiler_name):
if compiler_name not in executables:
pytest.skip('default_exes[%s] does not exist' % compiler_name)
executable = executables[compiler_name]
model_name = 'lenet_mnist'
model_folder = 'models/' + model_name
should_log = False
actual_performance = common_code.skeleton(cluster, dir_name, executable, model_folder, model_name, DATA_FIELDS, should_log, compiler_name=compiler_name)
run_tests(actual_performance, model_name, dir_name, should_log, compiler_name, cluster)
def skeleton_performance_alexnet(cluster, dir_name, executables, compiler_name, weekly):
if compiler_name not in executables:
pytest.skip('default_exes[%s] does not exist' % compiler_name)
executable = executables[compiler_name]
model_name = 'alexnet'
model_folder = 'models/' + model_name
should_log = False
actual_performance = common_code.skeleton(cluster, dir_name, executable, model_folder, model_name, DATA_FIELDS, should_log, compiler_name=compiler_name, weekly=weekly)
frequency_str = '_nightly'
if weekly:
frequency_str = '_weekly'
run_tests(actual_performance, model_name, dir_name, should_log, compiler_name, cluster, frequency_str)
def skeleton_autoencoder_imagenet(cluster, dir_name, executables, compiler_name, weekly):
if cluster == 'surface':
pytest.skip('skeleton_autoencoder_imagenet does not run on surface')
if compiler_name not in executables:
pytest.skip('default_exes[%s] does not exist' % compiler_name)
model_folder = 'models/autoencoder_imagenet'
model_name = 'conv_autoencoder_imagenet'
should_log = False
actual_objective_functions = common_code.skeleton(cluster, dir_name, executables[compiler_name], model_folder, model_name, DATA_FIELDS, should_log, compiler_name=compiler_name, weekly=weekly)
frequency_str = '_nightly'
if weekly:
frequency_str = '_weekly'
run_tests(actual_objective_functions, model_name, dir_name, cluster, should_log, compiler_name, frequency_str)
def skeleton_autoencoder_mnist(cluster, dir_name, executables, compiler_name):
if compiler_name not in executables:
pytest.skip('default_exes[%s] does not exist' % compiler_name)
model_folder = 'models/autoencoder_mnist'
model_name = 'conv_autoencoder_mnist'
should_log = False
actual_objective_functions = common_code.skeleton(
cluster,
dir_name,
executables[compiler_name],
model_folder,
model_name,
DATA_FIELDS,
should_log,
compiler_name=compiler_name)
run_tests(actual_objective_functions, model_name, dir_name, cluster,
should_log, compiler_name)
def skeleton_performance_lenet_mnist(cluster, dir_name, executables,
compiler_name):
if compiler_name not in executables:
pytest.skip('default_exes[%s] does not exist' % compiler_name)
executable = executables[compiler_name]
model_name = 'lenet_mnist'
model_folder = 'models/' + model_name
should_log = False
actual_performance = common_code.skeleton(cluster,
dir_name,
executable,
model_folder,
model_name,
DATA_FIELDS,
should_log,
compiler_name=compiler_name)
run_tests(actual_performance, model_name, dir_name, should_log,
compiler_name, cluster)
def skeleton_performance_alexnet(cluster, dir_name, executables, compiler_name,
weekly):
if compiler_name not in executables:
pytest.skip('default_exes[%s] does not exist' % compiler_name)
executable = executables[compiler_name]
model_name = 'alexnet'
model_folder = 'models/' + model_name
should_log = False
actual_performance = common_code.skeleton(cluster,
dir_name,
executable,
model_folder,
model_name,
DATA_FIELDS,
should_log,
compiler_name=compiler_name,
weekly=weekly)
frequency_str = '_nightly'
if weekly:
frequency_str = '_weekly'
run_tests(actual_performance, model_name, dir_name, should_log,
compiler_name, cluster, frequency_str)
