#!/usr/bin/env python # -*- coding: utf-8 -*- """Deep learning and Reinforcement learning library for Researchers and Engineers""" # import backend from .backend import * # from .backend import ops # import dataflow # from .dataflow import * import os from distutils.version import LooseVersion from tensorlayer.package_info import ( VERSION, __contact_emails__, __contact_names__, __description__, __download_url__, __homepage__, __keywords__, __license__, __package_name__, __repository_url__, __shortversion__, __version__ ) if 'TENSORLAYER_PACKAGE_BUILDING' not in os.environ: try: import tensorflow except Exception as e: raise ImportError( "Tensorflow is not installed, please install it with the one of the following commands:\n" " - `pip install --upgrade tensorflow`\n" " - `pip install --upgrade tensorflow-gpu`" ) if ("SPHINXBUILD" not in os.environ and "READTHEDOCS" not in os.environ and LooseVersion(tensorflow.__version__) < LooseVersion("2.0.0")): raise RuntimeError( "TensorLayer does not support Tensorflow version older than 2.0.0.\n" "Please update Tensorflow with:\n" " - `pip install --upgrade tensorflow`\n" " - `pip install --upgrade tensorflow-gpu`" ) from tensorlayer import array_ops from tensorlayer import cost from tensorlayer import decorators from tensorlayer import files from tensorlayer import initializers from tensorlayer import iterate from tensorlayer import layers from tensorlayer import lazy_imports from tensorlayer import logging from tensorlayer import models from tensorlayer import optimizers from tensorlayer import rein from tensorlayer import utils from tensorlayer import dataflow from tensorlayer import metric from tensorlayer import vision from tensorlayer.lazy_imports import LazyImport # Lazy Imports db = LazyImport("tensorlayer.db") distributed = LazyImport("tensorlayer.distributed") nlp = LazyImport("tensorlayer.nlp") prepro = LazyImport("tensorlayer.prepro") utils = LazyImport("tensorlayer.utils") visualize = LazyImport("tensorlayer.visualize") # alias vis = visualize alphas = array_ops.alphas alphas_like = array_ops.alphas_like # global vars global_flag = {} global_dict = {}