tf.get_logger
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Return TF logger instance.
tf.get_logger()
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:
- FATAL
- ERROR
- WARN
- INFO
- DEBUG
The logger has the following methods, based on these logging levels:
- fatal(msg, *args, **kwargs)
- error(msg, *args, **kwargs)
- warn(msg, *args, **kwargs)
- info(msg, *args, **kwargs)
- 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.")
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.get_logger\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.14.0/tensorflow/python/platform/tf_logging.py#L93-L179) |\n\nReturn TF logger instance.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.get_logger`](https://www.tensorflow.org/api_docs/python/tf/get_logger)\n\n\u003cbr /\u003e\n\n tf.get_logger()\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| An instance of the Python logging library Logger. ||\n\n\u003cbr /\u003e\n\nSee Python documentation (\u003chttps://docs.python.org/3/library/logging.html\u003e)\nfor detailed API. Below is only a summary.\n\nThe logger has 5 levels of logging from the most serious to the least:\n\n1. FATAL\n2. ERROR\n3. WARN\n4. INFO\n5. DEBUG\n\nThe logger has the following methods, based on these logging levels:\n\n1. fatal(msg, \\*args, \\*\\*kwargs)\n2. error(msg, \\*args, \\*\\*kwargs)\n3. warn(msg, \\*args, \\*\\*kwargs)\n4. info(msg, \\*args, \\*\\*kwargs)\n5. debug(msg, \\*args, \\*\\*kwargs)\n\nThe `msg` can contain string formatting. An example of logging at the `ERROR`\nlevel\nusing string formating is: \n\n tf.get_logger().error(\"The value %d is invalid.\", 3)\n\nYou can also specify the logging verbosity. In this case, the\nWARN level log will not be emitted: \n\n tf.get_logger().setLevel(ERROR)\n tf.get_logger().warn(\"This is a warning.\")"]]
View source on GitHub