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  • API r1.8
  • Install
  • Develop
  • API r1.8
  • Deploy
  • Extend
  • Community
  • Versions
  • Ecosystem Index
  • Projects
  • Hub
  • TFX
  • Probability
  • More…
  • Implementations
  • TensorFlow.js
  • TensorFlow Lite
  • Swift for TensorFlow
  • Research
  • Research Cloud
  • Model Garden
  • Magenta
  • Nucleus
  • Overview r1.8
  • Python API r1.8
    • Python API Guides
      • Tensor Transformations
      • Asserts and boolean checks
      • Running Graphs
      • Constants, Sequences, and Random Values
      • BayesFlow Monte Carlo (contrib)
      • CRF (contrib)
      • Random variable transformations (contrib)
      • Statistical Distributions (contrib)
      • FFmpeg (contrib)
      • Framework (contrib)
      • Graph Editor (contrib)
      • Integrate (contrib)
      • Layers (contrib)
      • Learn (contrib)
      • Linear Algebra (contrib)
      • Losses (contrib)
      • Metrics (contrib)
      • RNN and Cells (contrib)
      • Seq2seq Library (contrib)
      • Signal Processing (contrib)
      • Staging (contrib)
      • Training (contrib)
      • Utilities (contrib)
      • Control Flow
      • Building Graphs
      • Higher Order Functions
      • Images
      • Python API Guides
      • Dataset Input Pipeline
      • Inputs and Readers
      • Math
      • Exporting and Importing a MetaGraph
      • Neural Network
      • Data IO (Python functions)
      • Reading data
      • Regression Examples
      • Tensor Handle Operations
      • Sparse Tensors
      • Spectral Functions
      • Variables
      • Strings
      • Summary Operations
      • Testing
      • TensorFlow Debugger
      • Threading and Queues
      • Training
    • Overview r1.8
    • tf
      • Overview
      • abs
      • accumulate_n
      • acos
      • acosh
      • add
      • add_check_numerics_ops
      • add_n
      • add_to_collection
      • add_to_collections
      • AggregationMethod
      • all_variables
      • angle
      • argmax
      • argmin
      • arg_max
      • arg_min
      • asin
      • asinh
      • Assert
      • assert_equal
      • assert_greater
      • assert_greater_equal
      • assert_integer
      • assert_less
      • assert_less_equal
      • assert_near
      • assert_negative
      • assert_none_equal
      • assert_non_negative
      • assert_non_positive
      • assert_positive
      • assert_proper_iterable
      • assert_rank
      • assert_rank_at_least
      • assert_rank_in
      • assert_same_float_dtype
      • assert_scalar
      • assert_type
      • assert_variables_initialized
      • assign
      • assign_add
      • assign_sub
      • as_dtype
      • as_string
      • atan
      • atan2
      • atanh
      • AttrValue
      • AttrValue.ListValue
      • batch_to_space
      • batch_to_space_nd
      • betainc
      • bincount
      • bitcast
      • boolean_mask
      • broadcast_dynamic_shape
      • broadcast_static_shape
      • case
      • cast
      • ceil
      • check_numerics
      • cholesky
      • cholesky_solve
      • clip_by_average_norm
      • clip_by_global_norm
      • clip_by_norm
      • clip_by_value
      • colocate_with
      • complex
      • concat
      • cond
      • ConditionalAccumulator
      • ConditionalAccumulatorBase
      • ConfigProto
      • ConfigProto.DeviceCountEntry
      • confusion_matrix
      • conj
      • constant
      • constant_initializer
      • container
      • control_dependencies
      • convert_to_tensor
      • convert_to_tensor_or_indexed_slices
      • convert_to_tensor_or_sparse_tensor
      • cos
      • cosh
      • count_nonzero
      • count_up_to
      • create_partitioned_variables
      • cross
      • cumprod
      • cumsum
      • custom_gradient
      • decode_base64
      • decode_csv
      • decode_json_example
      • decode_raw
      • delete_session_tensor
      • depth_to_space
      • dequantize
      • deserialize_many_sparse
      • device
      • DeviceSpec
      • diag
      • diag_part
      • digamma
      • Dimension
      • div
      • divide
      • DType
      • dynamic_partition
      • dynamic_stitch
      • edit_distance
      • einsum
      • enable_eager_execution
      • encode_base64
      • equal
      • erf
      • erfc
      • Event
      • executing_eagerly
      • exp
      • expand_dims
      • expm1
      • extract_image_patches
      • eye
      • fake_quant_with_min_max_args
      • fake_quant_with_min_max_args_gradient
      • fake_quant_with_min_max_vars
      • fake_quant_with_min_max_vars_gradient
      • fake_quant_with_min_max_vars_per_channel
      • fake_quant_with_min_max_vars_per_channel_gradient
      • fft
      • fft2d
      • fft3d
      • FIFOQueue
      • fill
      • FixedLenFeature
      • FixedLengthRecordReader
      • FixedLenSequenceFeature
      • fixed_size_partitioner
      • floor
      • floordiv
      • floormod
      • floor_div
      • foldl
      • foldr
      • gather
      • gather_nd
      • get_collection
      • get_collection_ref
      • get_default_graph
      • get_default_session
      • get_local_variable
      • get_seed
      • get_session_handle
      • get_session_tensor
      • get_variable
      • get_variable_scope
      • global_norm
      • global_variables
      • global_variables_initializer
      • glorot_normal_initializer
      • glorot_uniform_initializer
      • GPUOptions
      • GPUOptions.Experimental
      • GPUOptions.Experimental.VirtualDevices
      • gradients
      • GradientTape
      • Graph
      • GraphDef
      • GraphKeys
      • GraphOptions
      • greater
      • greater_equal
      • group
      • guarantee_const
      • hessians
      • HistogramProto
      • histogram_fixed_width
      • histogram_fixed_width_bins
      • identity
      • IdentityReader
      • identity_n
      • ifft
      • ifft2d
      • ifft3d
      • igamma
      • igammac
      • imag
      • import_graph_def
      • IndexedSlices
      • initialize_all_tables
      • initialize_all_variables
      • initialize_local_variables
      • initialize_variables
      • InteractiveSession
      • invert_permutation
      • is_finite
      • is_inf
      • is_nan
      • is_non_decreasing
      • is_numeric_tensor
      • is_strictly_increasing
      • is_variable_initialized
      • lbeta
      • less
      • less_equal
      • lgamma
      • lin_space
      • LMDBReader
      • load_file_system_library
      • load_op_library
      • local_variables
      • local_variables_initializer
      • log
      • log1p
      • logical_and
      • logical_not
      • logical_or
      • logical_xor
      • LogMessage
      • log_sigmoid
      • make_ndarray
      • make_template
      • make_tensor_proto
      • map_fn
      • matching_files
      • matmul
      • matrix_band_part
      • matrix_determinant
      • matrix_diag
      • matrix_diag_part
      • matrix_inverse
      • matrix_set_diag
      • matrix_solve
      • matrix_solve_ls
      • matrix_transpose
      • matrix_triangular_solve
      • maximum
      • meshgrid
      • MetaGraphDef
      • MetaGraphDef.CollectionDefEntry
      • MetaGraphDef.MetaInfoDef
      • MetaGraphDef.SignatureDefEntry
      • minimum
      • min_max_variable_partitioner
      • model_variables
      • moving_average_variables
      • multinomial
      • multiply
      • NameAttrList
      • NameAttrList.AttrEntry
      • name_scope
      • negative
      • NodeDef
      • NodeDef.AttrEntry
      • NoGradient
      • norm
      • not_equal
      • no_op
      • no_regularizer
      • ones
      • ones_initializer
      • ones_like
      • one_hot
      • Operation
      • OpError
      • OptimizerOptions
      • op_scope
      • orthogonal_initializer
      • pad
      • PaddingFIFOQueue
      • parallel_stack
      • parse_example
      • parse_single_example
      • parse_single_sequence_example
      • parse_tensor
      • placeholder
      • placeholder_with_default
      • polygamma
      • pow
      • Print
      • PriorityQueue
      • py_func
      • qr
      • quantize
      • quantized_concat
      • quantize_v2
      • QueueBase
      • RandomShuffleQueue
      • random_crop
      • random_gamma
      • random_normal
      • random_normal_initializer
      • random_poisson
      • random_shuffle
      • random_uniform
      • random_uniform_initializer
      • range
      • rank
      • ReaderBase
      • read_file
      • real
      • realdiv
      • reciprocal
      • reduce_all
      • reduce_any
      • reduce_join
      • reduce_logsumexp
      • reduce_max
      • reduce_mean
      • reduce_min
      • reduce_prod
      • reduce_sum
      • regex_replace
      • RegisterGradient
      • register_tensor_conversion_function
      • report_uninitialized_variables
      • required_space_to_batch_paddings
      • reset_default_graph
      • reshape
      • reverse
      • reverse_sequence
      • reverse_v2
      • rint
      • round
      • rsqrt
      • RunMetadata
      • RunOptions
      • saturate_cast
      • scalar_mul
      • scan
      • scatter_add
      • scatter_div
      • scatter_max
      • scatter_min
      • scatter_mul
      • scatter_nd
      • scatter_nd_add
      • scatter_nd_sub
      • scatter_nd_update
      • scatter_sub
      • scatter_update
      • segment_max
      • segment_mean
      • segment_min
      • segment_prod
      • segment_sum
      • self_adjoint_eig
      • self_adjoint_eigvals
      • sequence_mask
      • serialize_many_sparse
      • serialize_sparse
      • serialize_tensor
      • Session
      • SessionLog
      • setdiff1d
      • set_random_seed
      • shape
      • shape_n
      • sigmoid
      • sign
      • sin
      • sinh
      • size
      • slice
      • space_to_batch
      • space_to_batch_nd
      • space_to_depth
      • SparseConditionalAccumulator
      • SparseFeature
      • SparseTensor
      • SparseTensorValue
      • sparse_add
      • sparse_concat
      • sparse_fill_empty_rows
      • sparse_mask
      • sparse_matmul
      • sparse_maximum
      • sparse_merge
      • sparse_minimum
      • sparse_placeholder
      • sparse_reduce_max
      • sparse_reduce_max_sparse
      • sparse_reduce_sum
      • sparse_reduce_sum_sparse
      • sparse_reorder
      • sparse_reset_shape
      • sparse_reshape
      • sparse_retain
      • sparse_segment_mean
      • sparse_segment_sqrt_n
      • sparse_segment_sum
      • sparse_slice
      • sparse_softmax
      • sparse_split
      • sparse_tensor_dense_matmul
      • sparse_tensor_to_dense
      • sparse_to_dense
      • sparse_to_indicator
      • sparse_transpose
      • split
      • sqrt
      • square
      • squared_difference
      • squeeze
      • stack
      • stop_gradient
      • strided_slice
      • string_join
      • string_split
      • string_to_hash_bucket
      • string_to_hash_bucket_fast
      • string_to_hash_bucket_strong
      • string_to_number
      • substr
      • subtract
      • Summary
      • Summary.Audio
      • Summary.Image
      • Summary.Value
      • SummaryMetadata
      • SummaryMetadata.PluginData
      • svd
      • tables_initializer
      • tan
      • tanh
      • Tensor
      • TensorArray
      • tensordot
      • TensorInfo
      • TensorInfo.CooSparse
      • TensorShape
      • TextLineReader
      • TFRecordReader
      • tile
      • timestamp
      • to_bfloat16
      • to_complex128
      • to_complex64
      • to_double
      • to_float
      • to_int32
      • to_int64
      • trace
      • trainable_variables
      • transpose
      • truediv
      • truncatediv
      • truncated_normal
      • truncated_normal_initializer
      • truncatemod
      • tuple
      • uniform_unit_scaling_initializer
      • unique
      • unique_with_counts
      • unravel_index
      • unsorted_segment_max
      • unsorted_segment_mean
      • unsorted_segment_min
      • unsorted_segment_prod
      • unsorted_segment_sqrt_n
      • unsorted_segment_sum
      • unstack
      • Variable
      • Variable.SaveSliceInfo
      • VariableScope
      • variables_initializer
      • variable_axis_size_partitioner
      • variable_op_scope
      • variable_scope
      • variance_scaling_initializer
      • VarLenFeature
      • verify_tensor_all_finite
      • where
      • while_loop
      • WholeFileReader
      • write_file
      • zeros
      • zeros_initializer
      • zeros_like
      • zeta
    • tf.app
      • Overview
      • run
    • tf.bitwise
      • Overview
      • bitwise_and
      • bitwise_or
      • bitwise_xor
      • invert
      • left_shift
      • right_shift
    • tf.compat
      • Overview
      • as_bytes
      • as_str
      • as_str_any
      • path_to_str
    • tf.contrib
      • Overview
      • batching
        • Overview
        • batch_function
      • bayesflow
        • Overview
        • monte_carlo
          • Overview
          • expectation
          • expectation_importance_sampler
          • expectation_importance_sampler_logspace
      • cloud
        • Overview
        • BigQueryReader
      • cluster_resolver
        • Overview
        • ClusterResolver
        • GceClusterResolver
        • SimpleClusterResolver
        • TPUClusterResolver
        • UnionClusterResolver
      • coder
        • Overview
      • copy_graph
        • Overview
        • copy_op_to_graph
        • copy_variable_to_graph
        • get_copied_op
      • crf
        • Overview
        • CrfDecodeBackwardRnnCell
        • CrfDecodeForwardRnnCell
        • CrfForwardRnnCell
        • crf_binary_score
        • crf_decode
        • crf_log_likelihood
        • crf_log_norm
        • crf_sequence_score
        • crf_unary_score
        • viterbi_decode
      • cudnn_rnn
        • Overview
        • CudnnCompatibleGRUCell
        • CudnnCompatibleLSTMCell
        • CudnnGRU
        • CudnnGRUSaveable
        • CudnnLSTM
        • CudnnLSTMSaveable
        • CudnnRNNRelu
        • CudnnRNNReluSaveable
        • CudnnRNNTanh
        • CudnnRNNTanhSaveable
      • data
        • Overview
        • assert_element_shape
        • batch_and_drop_remainder
        • bucket_by_sequence_length
        • Counter
        • dense_to_sparse_batch
        • enumerate_dataset
        • get_single_element
        • group_by_window
        • ignore_errors
        • make_batched_features_dataset
        • make_csv_dataset
        • make_saveable_from_iterator
        • map_and_batch
        • padded_batch_and_drop_remainder
        • parallel_interleave
        • prefetch_to_device
        • read_batch_features
        • rejection_resample
        • scan
        • shuffle_and_repeat
        • sliding_window_batch
        • sloppy_interleave
        • SqlDataset
        • unbatch
      • decision_trees
        • Overview
      • deprecated
        • Overview
        • audio_summary
        • histogram_summary
        • image_summary
        • merge_all_summaries
        • merge_summary
        • scalar_summary
      • distribute
        • Overview
        • AllReduceCrossTowerOps
        • CrossTowerOps
        • DistributionStrategy
        • get_cross_tower_context
        • get_distribution_strategy
        • get_loss_reduction
        • get_tower_context
        • has_distribution_strategy
        • MirroredStrategy
        • Monitor
        • OneDeviceStrategy
        • ReductionToOneDeviceCrossTowerOps
        • require_tower_context
        • StandardInputStep
        • StandardSingleLossStep
        • Step
        • TowerContext
      • distributions
        • Overview
        • assign_log_moving_mean_exp
        • assign_moving_mean_variance
        • Autoregressive
        • auto_correlation
        • BatchReshape
        • BetaWithSoftplusConcentration
        • Binomial
        • Cauchy
        • Chi2
        • Chi2WithAbsDf
        • ConditionalDistribution
        • ConditionalTransformedDistribution
        • Deterministic
        • estimator_head_distribution_regression
        • ExponentialWithSoftplusRate
        • ExpRelaxedOneHotCategorical
        • fill_triangular
        • GammaWithSoftplusConcentrationRate
        • Geometric
        • HalfNormal
        • Independent
        • InverseGamma
        • InverseGammaWithSoftplusConcentrationRate
        • Kumaraswamy
        • LaplaceWithSoftplusScale
        • Logistic
        • matrix_diag_transform
        • Mixture
        • MixtureSameFamily
        • moving_mean_variance
        • MultivariateNormalDiag
        • MultivariateNormalDiagPlusLowRank
        • MultivariateNormalDiagWithSoftplusScale
        • MultivariateNormalFullCovariance
        • MultivariateNormalTriL
        • NegativeBinomial
        • NormalWithSoftplusScale
        • normal_conjugates_known_scale_posterior
        • normal_conjugates_known_scale_predictive
        • OneHotCategorical
        • percentile
        • Poisson
        • PoissonLogNormalQuadratureCompound
        • quadrature_scheme_lognormal_gauss_hermite
        • quadrature_scheme_lognormal_quantiles
        • quadrature_scheme_softmaxnormal_gauss_hermite
        • quadrature_scheme_softmaxnormal_quantiles
        • QuantizedDistribution
        • reduce_weighted_logsumexp
        • RelaxedBernoulli
        • RelaxedOneHotCategorical
        • SeedStream
        • SinhArcsinh
        • softplus_inverse
        • StudentTWithAbsDfSoftplusScale
        • TransformedDistribution
        • tridiag
        • VectorDeterministic
        • VectorDiffeomixture
        • VectorExponentialDiag
        • VectorLaplaceDiag
        • VectorSinhArcsinhDiag
        • WishartCholesky
        • WishartFull
        • bijectors
          • Overview
          • AbsoluteValue
          • Affine
          • AffineLinearOperator
          • AffineScalar
          • BatchNormalization
          • Chain
          • CholeskyOuterProduct
          • ConditionalBijector
          • Exp
          • Gumbel
          • Inline
          • Invert
          • Kumaraswamy
          • MaskedAutoregressiveFlow
          • masked_autoregressive_default_template
          • masked_dense
          • Permute
          • PowerTransform
          • RealNVP
          • real_nvp_default_template
          • Reshape
          • Sigmoid
          • SinhArcsinh
          • SoftmaxCentered
          • Softplus
          • Square
      • eager
        • Overview
        • add_execution_callback
        • async_clear_error
        • async_wait
        • Checkpoint
        • Checkpointable
        • CheckpointableSaver
        • clear_execution_callbacks
        • defun
        • EagerVariableStore
        • execution_mode
        • get_optimizer_variables
        • gradients_function
        • implicit_gradients
        • implicit_value_and_gradients
        • inf_callback
        • inf_nan_callback
        • Iterator
        • list_devices
        • make_template
        • nan_callback
        • Network
        • num_gpus
        • py_func
        • restore_network_checkpoint
        • restore_variables_on_create
        • run
        • run_test_in_graph_and_eager_modes
        • Saver
        • save_network_checkpoint
        • Sequential
        • seterr
        • set_execution_mode
        • value_and_gradients_function
        • Variable
        • metrics
          • Overview
          • Accuracy
          • Mean
          • Metric
      • estimator
        • Overview
        • add_metrics
        • binary_classification_head
        • boosted_trees_classifier_train_in_memory
        • boosted_trees_regressor_train_in_memory
        • call_logit_fn
        • clip_gradients_by_norm
        • DNNEstimator
        • DNNLinearCombinedEstimator
        • dnn_logit_fn_builder
        • forward_features
        • LinearEstimator
        • linear_logit_fn_builder
        • multi_class_head
        • multi_head
        • multi_label_head
        • poisson_regression_head
        • regression_head
        • replicate_model_fn
        • TowerOptimizer
      • factorization
        • Overview
        • GMM
        • gmm
        • GmmAlgorithm
        • KMeans
        • KMeansClustering
        • WALSMatrixFactorization
        • WALSModel
      • feature_column
        • Overview
        • sequence_categorical_column_with_hash_bucket
        • sequence_categorical_column_with_identity
        • sequence_categorical_column_with_vocabulary_file
        • sequence_categorical_column_with_vocabulary_list
        • sequence_input_layer
        • sequence_numeric_column
      • ffmpeg
        • Overview
        • decode_audio
        • decode_video
        • encode_audio
      • framework
        • Overview
        • add_arg_scope
        • add_model_variable
        • argsort
        • arg_scope
        • arg_scoped_arguments
        • assert_global_step
        • assert_or_get_global_step
        • assert_scalar_int
        • assign_from_checkpoint
        • assign_from_checkpoint_fn
        • assign_from_values
        • assign_from_values_fn
        • BoundedTensorSpec
        • convolutional_delta_orthogonal
        • create_global_step
        • CriticalSection
        • current_arg_scope
        • deprecated
        • deprecated_args
        • deprecated_arg_values
        • filter_variables
        • fuse_op
        • get_global_step
        • get_graph_from_inputs
        • get_local_variables
        • get_model_variables
        • get_name_scope
        • get_or_create_global_step
        • get_placeholders
        • get_trainable_variables
        • get_unique_variable
        • get_variables
        • get_variables_by_name
        • get_variables_by_suffix
        • get_variables_to_restore
        • get_variable_full_name
        • global_variable
        • has_arg_scope
        • init_from_checkpoint
        • is_tensor
        • list_variables
        • load_and_remap_matrix_initializer
        • load_checkpoint
        • load_embedding_initializer
        • load_linear_multiclass_bias_initializer
        • load_variable
        • load_variable_slot_initializer
        • local_variable
        • model_variable
        • prepend_name_scope
        • py_func
        • reduce_sum_n
        • remove_squeezable_dimensions
        • smart_case
        • smart_cond
        • smart_constant_value
        • sort
        • strip_name_scope
        • TensorSpec
        • variable
        • VariableDeviceChooser
        • with_same_shape
        • with_shape
        • zero_initializer
        • nest
          • Overview
          • assert_same_structure
          • assert_shallow_structure
          • flatten
          • flatten_dict_items
          • flatten_up_to
          • flatten_with_joined_string_paths
          • get_traverse_shallow_structure
          • is_sequence
          • map_structure
          • map_structure_up_to
          • pack_sequence_as
          • yield_flat_paths
      • gan
        • Overview
        • ACGANModel
        • acgan_model
        • CycleGANLoss
        • CycleGANModel
        • cyclegan_loss
        • cyclegan_model
        • GANLoss
        • GANModel
        • GANTrainOps
        • GANTrainSteps
        • gan_loss
        • gan_model
        • gan_train
        • gan_train_ops
        • get_joint_train_hooks
        • get_sequential_train_hooks
        • get_sequential_train_steps
        • InfoGANModel
        • infogan_model
        • RunTrainOpsHook
        • estimator
          • Overview
          • GANEstimator
          • GANHead
          • gan_head
          • SummaryType
          • gan_estimator
            • Overview
          • head
            • Overview
        • eval
          • Overview
          • add_cyclegan_image_summaries
          • add_gan_model_image_summaries
          • add_gan_model_summaries
          • add_image_comparison_summaries
          • add_regularization_loss_summaries
          • classifier_score
          • classifier_score_from_logits
          • diagonal_only_frechet_classifier_distance_from_activations
          • frechet_classifier_distance
          • frechet_classifier_distance_from_activations
          • get_graph_def_from_disk
          • get_graph_def_from_resource
          • get_graph_def_from_url_tarball
          • image_grid
          • image_reshaper
          • mean_only_frechet_classifier_distance_from_activations
          • preprocess_image
          • run_image_classifier
          • run_inception
          • sliced_wasserstein_distance
          • classifier_metrics
            • Overview
          • eval_utils
            • Overview
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