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workload-automation/wlauto/core/workload.py
Sergei Trofimov b3a0933221 Adding intialize and finalize methods to workloads that will only be invoked once per run
- added initialze and finalize methods to workloads, which were the only
  major extension types that did not have them
- Semanatics for initialize/finalize for *all* Extensions are changed so
  that now they will always run at most once per run. They will not be
  executed twice even if invoke via istances of different subclasses (if
  those subclasses defined their own verions, then their versions will
  be invoked once each, but the base version will only get invoked
  once).
2015-06-11 17:45:09 +01:00

105 lines
3.6 KiB
Python

# Copyright 2014-2015 ARM Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""
A workload is the unit of execution. It represents a set of activities are are performed
and measured together, as well as the necessary setup and teardown procedures. A single
execution of a workload produces one :class:`wlauto.core.result.WorkloadResult` that is populated with zero or more
:class:`wlauto.core.result.WorkloadMetric`\ s and/or
:class:`wlauto.core.result.Artifact`\s by the workload and active instrumentation.
"""
from wlauto.core.extension import Extension
from wlauto.exceptions import WorkloadError
class Workload(Extension):
"""
This is the base class for the workloads executed by the framework.
Each of the methods throwing NotImplementedError *must* be implemented
by the derived classes.
"""
supported_devices = []
supported_platforms = []
summary_metrics = []
def __init__(self, device, **kwargs):
"""
Creates a new Workload.
:param device: the Device on which the workload will be executed.
"""
super(Workload, self).__init__(**kwargs)
if self.supported_devices and device.name not in self.supported_devices:
raise WorkloadError('Workload {} does not support device {}'.format(self.name, device.name))
if self.supported_platforms and device.platform not in self.supported_platforms:
raise WorkloadError('Workload {} does not support platform {}'.format(self.name, device.platform))
self.device = device
def init_resources(self, context):
"""
This method may be used to perform early resource discovery and initialization. This is invoked
during the initial loading stage and before the device is ready, so cannot be used for any
device-dependent initialization. This method is invoked before the workload instance is
validated.
"""
pass
def initialize(self, context): # pylint: disable=arguments-differ
"""
This method should be used to perform once-per-run initialization of a workload instance, i.e.,
unlike ``setup()`` it will not be invoked on each iteration.
"""
pass
def setup(self, context):
"""
Perform the setup necessary to run the workload, such as copying the necessary files
to the device, configuring the environments, etc.
This is also the place to perform any on-device checks prior to attempting to execute
the workload.
"""
pass
def run(self, context):
"""Execute the workload. This is the method that performs the actual "work" of the"""
pass
def update_result(self, context):
"""
Update the result within the specified execution context with the metrics
form this workload iteration.
"""
pass
def teardown(self, context):
""" Perform any final clean up for the Workload. """
pass
def finalize(self, context): # pylint: disable=arguments-differ
pass
def __str__(self):
return '<Workload {}>'.format(self.name)