#! /usr/bin/python # -*- coding: utf-8 -*- """ TensorLayer provides rich layer implementations trailed for various benchmarks and domain-specific problems. In addition, we also support transparent access to native TensorFlow parameters. For example, we provide not only layers for local response normalization, but also layers that allow user to apply ``tf.ops.lrn`` on ``network.outputs``. More functions can be found in `TensorFlow API `__. """ from tensorlayer.lazy_imports import LazyImport from .tl_logging import * # Lazy Imports contrib = LazyImport("tensorlayer.logging.contrib") __all__ = [ # tl_logging 'DEBUG', 'debug', 'ERROR', 'error', 'FATAL', 'fatal', 'INFO', 'info', 'WARN', 'warn', 'warning', 'set_verbosity', 'get_verbosity' ]