def test_get_cpu_name(self, run_command_mock):
"""Tests extract the cpu model name."""
run_command_mock.return_value = [
0, 'model name : Intel(R) Xeon(R) CPU E5-1650 v2 @ 3.50GHz\n'
]
cpu_name = utils.get_cpu_name()
self.assertEqual('Intel(R) Xeon(R) CPU E5-1650 v2 @ 3.50GHz', cpu_name)
def build_execution_summary(execution_timestamp, execution_id,
ml_framework_build_label, execution_label,
platform_name, system_name, output_gcs_url,
benchmark_result, env_vars, flags,
site_package_info, has_exception):
"""Builds summary of the execution."""
# Avoids module not found during setup phase when tf is not installed yet.
# pylint: disable=C6204
import tensorflow as tf
benchmark_info = {}
benchmark_info['harness_name'] = 'perfzero'
benchmark_info['has_exception'] = has_exception
if execution_label:
benchmark_info['execution_label'] = execution_label
if output_gcs_url:
benchmark_info['output_url'] = '{}/{}/'.format(output_gcs_url,
execution_id)
if env_vars:
benchmark_info['env_vars'] = env_vars
if flags:
benchmark_info['flags'] = flags
benchmark_info['site_package_info'] = site_package_info
ml_framework_info = {}
ml_framework_info['name'] = 'tensorflow'
ml_framework_info['version'] = tf.__version__
# tf.__git_version__ in Python3 has format b'version_string'
if tf.__git_version__[0] == 'b':
ml_framework_info['build_version'] = tf.__git_version__[2:-1]
else:
ml_framework_info['build_version'] = tf.__git_version__
if ml_framework_build_label:
ml_framework_info['build_label'] = ml_framework_build_label
system_info = {}
gpu_info = utils.get_gpu_info()
if platform_name:
system_info['platform_name'] = platform_name
if system_name:
system_info['system_name'] = system_name
system_info['accelerator_driver_version'] = gpu_info['gpu_driver_version']
system_info['accelerator_model'] = gpu_info['gpu_model']
system_info['accelerator_count'] = gpu_info['gpu_count']
system_info['cpu_model'] = utils.get_cpu_name()
system_info['cpu_core_count'] = utils.get_cpu_core_count()
system_info['cpu_socket_count'] = utils.get_cpu_socket_count()
execution_summary = {}
execution_summary['execution_id'] = execution_id
execution_summary['execution_timestamp'] = execution_timestamp
execution_summary['benchmark_result'] = benchmark_result
execution_summary['benchmark_info'] = benchmark_info
execution_summary['setup_info'] = {}
execution_summary['ml_framework_info'] = ml_framework_info
execution_summary['system_info'] = system_info
return execution_summary
def build_execution_summary(execution_id, test_environment, platform_name,
system_name, output_url, benchmark_result):
import tensorflow as tf
benchmark_info = {}
benchmark_info['test_environment'] = test_environment
benchmark_info['date_time'] = unicode(
datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S'))
benchmark_info['output_url'] = output_url
ml_framework_info = {}
ml_framework_info['framework'] = 'tensorflow'
ml_framework_info['version'] = tf.__version__
# tf.__git_version__ in Python3 has format b'version_string'
if tf.__git_version__[0] == 'b':
ml_framework_info['git_version'] = tf.__git_version__[2:-1]
else:
ml_framework_info['git_version'] = tf.__git_version__
ml_framework_info['channel'] = 'NIGHTLY'
ml_framework_info['build_type'] = 'OTB'
system_info = {}
gpu_info = utils.get_gpu_info()
system_info['platform_name'] = platform_name
system_info['system_name'] = system_name
system_info['gpu_driver_version'] = gpu_info['gpu_driver_version']
system_info['gpu_model'] = gpu_info['gpu_model']
system_info['gpu_count'] = gpu_info['gpu_count']
system_info['cpu_model'] = utils.get_cpu_name()
system_info['cpu_core_count'] = utils.get_cpu_core_count()
system_info['cpu_socket_count'] = utils.get_cpu_socket_count()
execution_summary = {}
execution_summary['execution_id'] = execution_id
execution_summary['benchmark_result'] = benchmark_result
execution_summary['benchmark_info'] = benchmark_info
execution_summary['ml_framework_info'] = ml_framework_info
execution_summary['system_info'] = system_info
return execution_summary