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# Copyright © 2019 Arm Ltd. All rights reserved.
# SPDX-License-Identifier: MIT
import os
import pytest
import pyarmnn as ann
class MockIProfiler:
def __init__(self, json_string):
self._profile_json = json_string
def as_json(self):
return self._profile_json
@pytest.fixture()
def mock_profiler(shared_data_folder):
path_to_file = os.path.join(shared_data_folder, 'profile_out.json')
with open(path_to_file, 'r') as file:
profiler_output = file.read()
return MockIProfiler(profiler_output)
def test_inference_exec(mock_profiler):
profiling_data_obj = ann.get_profiling_data(mock_profiler)
assert (len(profiling_data_obj.inference_data) > 0)
assert (len(profiling_data_obj.per_workload_execution_data) > 0)
# Check each total execution time
assert (profiling_data_obj.inference_data["execution_time"] == [16035243.953000, 16096248.590000, 16138614.290000,
16140544.388000, 16228118.274000, 16543585.760000])
assert (profiling_data_obj.inference_data["time_unit"] == "us")
@pytest.mark.parametrize("exec_times, unit, backend, workload", [([1233915.166, 1221125.149,
1228359.494, 1235065.662,
1244369.694, 1240633.922],
'us',
'CpuRef',
'RefConvolution2dWorkload_Execute_#25'),
([270.64, 256.379,
269.664, 259.449,
266.65, 277.05],
'us',
'CpuAcc',
'NeonActivationWorkload_Execute_#70'),
([715.474, 729.23,
711.325, 729.151,
741.231, 729.702],
'us',
'GpuAcc',
'ClConvolution2dWorkload_Execute_#80')
])
def test_profiler_workloads(mock_profiler, exec_times, unit, backend, workload):
profiling_data_obj = ann.get_profiling_data(mock_profiler)
work_load_exec = profiling_data_obj.per_workload_execution_data[workload]
assert work_load_exec["execution_time"] == exec_times
assert work_load_exec["time_unit"] == unit
assert work_load_exec["backend"] == backend
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