# Module: tf.contrib
|---| | [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/__init__.py) | Contrib module containing volatile or experimental code. > [!WARNING] > **Warning:** The [`tf.contrib`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib) module will not be included in TensorFlow 2.0. Many of its submodules have been integrated into TensorFlow core, or spun-off into other projects like [`tensorflow_io`](https://github.com/tensorflow/io), or [`tensorflow_addons`](https://github.com/tensorflow/addons). For instructions on how to upgrade see the [Migration guide](https://www.tensorflow.org/guide/migrate). ## Modules [`autograph`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/autograph) module: This is the legacy module for AutoGraph, kept for backward compatibility. [`batching`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/batching) module: Ops and modules related to batch. [`bayesflow`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/bayesflow) module: Ops for representing Bayesian computation. [`checkpoint`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/checkpoint) module: Tools for working with object-based checkpoints. [`cloud`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/cloud) module: Module for cloud ops. [`cluster_resolver`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/cluster_resolver) module: Standard imports for Cluster Resolvers. [`compiler`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/compiler) module: A module for controlling the Tensorflow/XLA JIT compiler. [`constrained_optimization`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/constrained_optimization) module: A library for performing constrained optimization in TensorFlow. [`copy_graph`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/copy_graph) module: Functions to copy elements between graphs. [`crf`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/crf) module: Linear-chain CRF layer. [`cudnn_rnn`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/cudnn_rnn) module: Ops for fused Cudnn RNN models. [`data`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/data) module: Experimental API for building input pipelines. [`deprecated`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/deprecated) module: Non-core alias for the deprecated tf.X_summary ops. [`distribute`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/distribute) module: A distributed computation library for TF. [`distributions`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/distributions) module: Classes representing statistical distributions and ops for working with them. [`eager`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/eager) module: TensorFlow Eager execution prototype. [`estimator`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/estimator) module: estimator python module. [`factorization`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/factorization) module: Ops and modules related to factorization. [`feature_column`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/feature_column) module: Experimental utilities for tf.feature_column. [`ffmpeg`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/ffmpeg) module: Working with audio using FFmpeg. [`framework`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/framework) module: Framework utilities. [`graph_editor`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/graph_editor) module: TensorFlow Graph Editor. [`grid_rnn`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/grid_rnn) module: GridRNN cells [`image`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/image) module: Ops for image manipulation. [`input_pipeline`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/input_pipeline) module: Ops and modules related to input_pipeline. [`integrate`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/integrate) module: Integration and ODE solvers. [`keras`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/keras) module: Implementation of the Keras API meant to be a high-level API for TensorFlow. [`kernel_methods`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/kernel_methods) module: Ops and estimators that enable explicit kernel methods in TensorFlow. [`labeled_tensor`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/labeled_tensor) module: Labels for TensorFlow. [`layers`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/layers) module: Ops for building neural network layers, regularizers, summaries, etc. [`learn`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/learn) module: High level API for learning (DEPRECATED). [`legacy_seq2seq`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/legacy_seq2seq) module: Deprecated library for creating sequence-to-sequence models in TensorFlow. [`linear_optimizer`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/linear_optimizer) module: Ops for training linear models. [`lookup`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/lookup) module: Ops for lookup operations. [`losses`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/losses) module: Ops for building neural network losses. [`memory_stats`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/memory_stats) module: Ops for memory statistics. [`metrics`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/metrics) module: Ops for evaluation metrics and summary statistics. [`mixed_precision`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/mixed_precision) module: Library for mixed precision training. [`model_pruning`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/model_pruning) module: Model pruning implementation in tensorflow. [`nn`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/nn) module: Module for variants of ops in tf.nn. [`opt`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/opt) module: A module containing optimization routines. [`optimizer_v2`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/optimizer_v2) module: Distribution-aware version of Optimizer. [`periodic_resample`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/periodic_resample) module: Custom op used by periodic_resample. [`predictor`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/predictor) module: Modules for `Predictor`s. [`proto`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/proto) module: Ops and modules related to proto. [`quantization`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/quantization) module: Ops for building quantized models. [`quantize`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/quantize) module: Functions for rewriting graphs for quantized training. [`receptive_field`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/receptive_field) module: Module that declares the functions in tf.contrib.receptive_field's API. [`recurrent`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/recurrent) module: Recurrent computations library. [`reduce_slice_ops`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/reduce_slice_ops) module: reduce by slice [`remote_fused_graph`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/remote_fused_graph) module: Remote fused graph ops python library. [`resampler`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/resampler) module: Ops and modules related to resampler. [`rnn`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/rnn) module: RNN Cells and additional RNN operations. [`rpc`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/rpc) module: Ops and modules related to RPC. [`saved_model`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/saved_model) module: SavedModel contrib support. [`seq2seq`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/seq2seq) module: Ops for building neural network seq2seq decoders and losses. [`signal`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/signal) module: Signal processing operations. [`slim`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/slim) module: Slim is an interface to contrib functions, examples and models. [`solvers`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/solvers) module: Ops for representing Bayesian computation. [`sparsemax`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/sparsemax) module: Module that implements sparsemax and sparsemax loss, see \[1\]. [`specs`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/specs) module: Init file, giving convenient access to all specs ops. [`staging`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/staging) module: contrib module containing StagingArea. [`stat_summarizer`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/stat_summarizer) module: Exposes the Python wrapper for StatSummarizer utility class. [`stateless`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/stateless) module: Stateless random ops which take seed as a tensor input. [`summary`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/summary) module: TensorFlow Summary API v2. [`tensor_forest`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/tensor_forest) module: Random forest implementation in tensorflow. [`tensorboard`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/tensorboard) module: tensorboard module containing volatile or experimental code. [`testing`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/testing) module: Testing utilities. [`tfprof`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/tfprof) module: tfprof is a tool that profile various aspect of TensorFlow model. [`timeseries`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/timeseries) module: A time series library in TensorFlow (TFTS). [`tpu`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/tpu) module: Ops related to Tensor Processing Units. [`training`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/training) module: Training and input utilities. [`util`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/util) module: Utilities for dealing with Tensors.