Buckets:
Logging[[accelerate.logging.get_logger]]
Refer to the Troubleshooting guide or to the example below to learn how to use Accelerate's logger.
- name (
str) -- The name for the logger, such as__file__ - log_level (
str, optional) -- The log level to use. If not passed, will default to theLOG_LEVELenvironment variable, orINFOif not
Returns a logging.Logger for name that can handle multiprocessing.
If a log should be called on all processes, pass main_process_only=False If a log should be called on all
processes and in order, also pass in_order=True
Example:
>>> from accelerate.logging import get_logger
>>> from accelerate import Accelerator
>>> logger = get_logger(__name__)
>>> accelerator = Accelerator()
>>> logger.info("My log", main_process_only=False)
>>> logger.debug("My log", main_process_only=True)
>>> logger = get_logger(__name__, log_level="DEBUG")
>>> logger.info("My log")
>>> logger.debug("My second log")
>>> array = ["a", "b", "c", "d"]
>>> letter_at_rank = array[accelerator.process_index]
>>> logger.info(letter_at_rank, in_order=True)
Xet Storage Details
- Size:
- 1.17 kB
- Xet hash:
- 76acd596ecf4c3a1f5acd887682d5d4f63cef17073c56bd0029a3dd30ed78c1f
·
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