| |
| |
|
|
| _START_TIME = "_start_time" |
| _EXECUTION_TIME = "_execution_time" |
|
|
|
|
| class TimedExecution: |
| """TimedExecution generates the python script to measure execution times. |
| |
| Specifically, it measures the time that passes from the start to the end of the |
| with-statement that TimedExecution is used for. |
| |
| TimedExecution writes the code under the assumption that an Azure Machine Learning |
| `azureml-core:azureml.core.Run` object called `run` exists and logs the metric |
| under that run. |
| |
| script_lines = [] |
| script_lines.append('from azureml.core.run import Run') |
| script_lines.append()"run = Run.get_context()") |
| with TimedExecution("special_period", script_lines): |
| # do something |
| |
| The execution time within the with-statement is automatically tracked and saved to the |
| run as a metric. |
| """ |
|
|
| def __init__(self, procedure_name, script_lines): |
| |
| |
| assert " " not in procedure_name |
|
|
| self.procedure_name = procedure_name |
| self.script_lines = script_lines |
| self.script_lines.append('print("Starting {}")'.format(self.procedure_name)) |
|
|
| def __enter__(self): |
| self.script_lines.append("{} = time()".format(self.procedure_name + _START_TIME)) |
|
|
| def __exit__(self, type, value, traceback): |
| execution_time_variable_name = self.procedure_name + _EXECUTION_TIME |
| start_time_variable_name = self.procedure_name + _START_TIME |
| self.script_lines.append("{} = time() - {}" |
| .format(execution_time_variable_name, start_time_variable_name)) |
| self.script_lines.append("run.log('{0}', {0})" |
| .format(execution_time_variable_name)) |
| self.script_lines.append('print("{} time taken: {{}}s".format({}))' |
| .format(self.procedure_name, execution_time_variable_name)) |
| self.script_lines.append('print("Finished {}")'.format(self.procedure_name)) |
|
|