tf.get_logger

Return TF logger instance.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.get_logger

tf.get_logger()

Used in the notebooks

Used in the guide	Used in the tutorials
Migrating your TFLite code to TF2 Customizing MinDiffModel Integrating MinDiff with MinDiffModel Integrating MinDiff without MinDiffModel Subword tokenizers	TensorFlow Hub Object Detection Colab Implement Differential Privacy with TensorFlow Privacy Parametrized Quantum Circuits for Reinforcement Learning Object Detection with TensorFlow Lite Model Maker Text classification with TensorFlow Lite Model Maker

Returns
An instance of the Python logging library Logger.

See Python documentation (https://docs.python.org/3/library/logging.html) for detailed API. Below is only a summary.

The logger has 5 levels of logging from the most serious to the least:

1. FATAL
2. ERROR
3. WARN
4. INFO
5. DEBUG

The logger has the following methods, based on these logging levels:

1. fatal(msg, *args, **kwargs)
2. error(msg, *args, **kwargs)
3. warn(msg, *args, **kwargs)
4. info(msg, *args, **kwargs)
5. debug(msg, *args, **kwargs)

The msg can contain string formatting. An example of logging at the ERROR level using string formating is:

tf.get_logger().error("The value %d is invalid.", 3)

You can also specify the logging verbosity. In this case, the WARN level log will not be emitted:

tf.get_logger().setLevel(ERROR)
tf.get_logger().warn("This is a warning.")