114 lines
4.5 KiB
Python
114 lines
4.5 KiB
Python
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# pylint: disable=g-import-not-at-top
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# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""contrib module containing volatile or experimental code."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import os
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# Add projects here, they will show up under tf.contrib.
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from tensorflow.contrib import batching
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from tensorflow.contrib import bayesflow
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from tensorflow.contrib import checkpoint
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if os.name != "nt":
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from tensorflow.contrib import cloud
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from tensorflow.contrib import cluster_resolver
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from tensorflow.contrib import coder
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from tensorflow.contrib import compiler
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from tensorflow.contrib import constrained_optimization
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from tensorflow.contrib import copy_graph
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from tensorflow.contrib import crf
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from tensorflow.contrib import cudnn_rnn
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from tensorflow.contrib import data
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from tensorflow.contrib import deprecated
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from tensorflow.contrib import distribute
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from tensorflow.contrib import distributions
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from tensorflow.contrib import estimator
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from tensorflow.contrib import factorization
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from tensorflow.contrib import feature_column
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from tensorflow.contrib import framework
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from tensorflow.contrib import gan
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from tensorflow.contrib import graph_editor
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from tensorflow.contrib import grid_rnn
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from tensorflow.contrib import image
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from tensorflow.contrib import input_pipeline
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from tensorflow.contrib import integrate
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from tensorflow.contrib import keras
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from tensorflow.contrib import kernel_methods
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from tensorflow.contrib import kfac
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from tensorflow.contrib import labeled_tensor
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from tensorflow.contrib import layers
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from tensorflow.contrib import learn
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from tensorflow.contrib import legacy_seq2seq
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from tensorflow.contrib import linalg
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from tensorflow.contrib import linear_optimizer
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from tensorflow.contrib import lookup
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from tensorflow.contrib import losses
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from tensorflow.contrib import memory_stats
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from tensorflow.contrib import metrics
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from tensorflow.contrib import mixed_precision
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from tensorflow.contrib import model_pruning
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from tensorflow.contrib import nccl
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from tensorflow.contrib import nn
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from tensorflow.contrib import opt
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from tensorflow.contrib import periodic_resample
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from tensorflow.contrib import predictor
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from tensorflow.contrib import proto
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from tensorflow.contrib import quantization
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from tensorflow.contrib import quantize
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from tensorflow.contrib import reduce_slice_ops
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from tensorflow.contrib import resampler
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from tensorflow.contrib import rnn
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from tensorflow.contrib import rpc
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from tensorflow.contrib import saved_model
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from tensorflow.contrib import seq2seq
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from tensorflow.contrib import signal
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from tensorflow.contrib import slim
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from tensorflow.contrib import solvers
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from tensorflow.contrib import sparsemax
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from tensorflow.contrib import staging
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from tensorflow.contrib import stat_summarizer
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from tensorflow.contrib import stateless
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from tensorflow.contrib import tensor_forest
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from tensorflow.contrib import tensorboard
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from tensorflow.contrib import testing
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from tensorflow.contrib import tfprof
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from tensorflow.contrib import timeseries
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from tensorflow.contrib import tpu
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from tensorflow.contrib import training
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from tensorflow.contrib import util
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from tensorflow.contrib.eager.python import tfe as eager
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if os.name != "nt":
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from tensorflow.contrib.lite.python import lite
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from tensorflow.contrib.optimizer_v2 import optimizer_v2_symbols as optimizer_v2
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from tensorflow.contrib.receptive_field import receptive_field_api as receptive_field
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from tensorflow.contrib.recurrent.python import recurrent_api as recurrent
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from tensorflow.contrib.remote_fused_graph import pylib as remote_fused_graph
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from tensorflow.contrib.specs import python as specs
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from tensorflow.contrib.summary import summary
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from tensorflow.python.util.lazy_loader import LazyLoader
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ffmpeg = LazyLoader("ffmpeg", globals(),
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"tensorflow.contrib.ffmpeg")
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del os
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del LazyLoader
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del absolute_import
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del division
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del print_function
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