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37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
# ClearML - Example of manual single value scalars reporting
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#
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from clearml import Task
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def main():
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# Connecting ClearML with the current process,
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# from here on everything is logged automatically
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task = Task.init(project_name="examples", task_name="Scalar reporting (Single Value)")
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# Get the task logger,
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# You can also call Task.current_task().get_logger() from anywhere in your code.
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logger = task.get_logger()
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# report scalars
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logger.report_single_value(name="metric_A", value=125)
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logger.report_single_value(name="metric_B", value=305.95)
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logger.report_single_value(name="metric_C", value=486)
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# force flush reports
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# If flush is not called, reports are flushed in the background every couple of seconds,
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# and at the end of the process execution
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logger.flush(wait=True)
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# get scalars
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# Getting one metric
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metric_B = task.get_reported_single_value('metric_B')
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print('metric_B is', metric_B)
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# Getting all metrics at once
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metric_all = task.get_reported_single_values()
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print('All metrics', metric_all)
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if __name__ == "__main__":
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main()
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