Instructions to use replicate/aiter-kernels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use replicate/aiter-kernels with Kernels:
# !pip install kernels from kernels import get_kernel # a version (or an explicit revision) is required; see the "Files and versions" tab for the available ones kernel = get_kernel("replicate/aiter-kernels", version=1) - Notebooks
- Google Colab
- Kaggle
File size: 1,327 Bytes
2976eec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | import os
import logging
# AITER Triton Logger which is singleton object around python logging.
# Note: Python logging is also a singleton object, but we want to read the
# env var AITER_LOG_LEVEL once at the beginning. Another alternative is to do
# this in __init__.py. In fact, that's how CK logger is setup. We can look at
# switching to that at some point
#
# AITER_LOG_LEVEL follows python logging levels
# DEBUG
# INFO
# WARNING
# ERROR
# CRITICAL
#
class AiterTritonLogger(object):
_instance = None
def __new__(cls):
if cls._instance is None:
cls._instance = super(AiterTritonLogger, cls).__new__(cls)
log_level_str = os.getenv("AITER_TRITON_LOG_LEVEL", "WARNING").upper()
numeric_level = getattr(logging, log_level_str, logging.WARNING)
cls._instance._logger = logging.getLogger("AITER_TRITON")
cls._instance._logger.setLevel(numeric_level)
return cls._instance
def get_logger(self):
return self._logger
def debug(self, msg):
self._logger.debug(msg)
def info(self, msg):
self._logger.info(msg)
def warning(self, msg):
self._logger.warning(msg)
def error(self, msg):
self._logger.error(msg)
def critical(self, msg):
self._logger.critical(msg)
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