File size: 2,517 Bytes
fc0f7bd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import logging
import os
import pytest
from azureml.core import Experiment, RunConfiguration, ScriptRunConfig
from tempeh.execution.azureml.environment_setup import configure_environment
from conftest import get_all_perf_test_configurations
from script_generation import generate_script
all_perf_test_configurations = get_all_perf_test_configurations()
all_perf_test_configurations_descriptions = \
[config.__repr__().replace(' ', '') for config in all_perf_test_configurations]
SCRIPT_DIRECTORY = os.path.join('test', 'perf', 'scripts')
EXPERIMENT_NAME = "perftest"
logging.basicConfig(level=logging.DEBUG)
# ensure the tests are run from the fairlearn repository base directory
if not os.getcwd().endswith("fairlearn"):
if not os.path.exists("test") or not os.path.exists("fairlearn"):
raise Exception("Please run perf tests from the fairlearn repository base directory. "
"Current working directory: {}".format(os.getcwd()))
@pytest.mark.parametrize("perf_test_configuration", all_perf_test_configurations,
ids=all_perf_test_configurations_descriptions)
@pytest.mark.perf
def test_perf(perf_test_configuration, workspace, request, wheel_file):
print("Starting with test case {}".format(request.node.name))
script_name = determine_script_name(request.node.name)
generate_script(request, perf_test_configuration, script_name, SCRIPT_DIRECTORY)
experiment = Experiment(workspace=workspace, name=EXPERIMENT_NAME)
compute_target = workspace.get_default_compute_target(type='cpu')
run_config = RunConfiguration()
run_config.target = compute_target
environment = configure_environment(workspace, wheel_file=wheel_file)
run_config.environment = environment
environment.register(workspace=workspace)
script_run_config = ScriptRunConfig(source_directory=SCRIPT_DIRECTORY,
script=script_name,
run_config=run_config)
print("submitting run")
experiment.submit(config=script_run_config, tags=perf_test_configuration.__dict__)
print("submitted run")
def determine_script_name(test_case_name):
hashed_test_case_name = hash(test_case_name)
hashed_test_case_name = hashed_test_case_name if hashed_test_case_name >= 0 \
else -1 * hashed_test_case_name
return "{}.py".format(str(hashed_test_case_name))
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