index.md

TensorFlow Python reference documentation

• Building Graphs:

  • add_to_collection
  • as_dtype
  • container
  • control_dependencies
  • convert_to_tensor
  • convert_to_tensor_or_indexed_slices
  • convert_to_tensor_or_sparse_tensor
  • device
  • DeviceSpec
  • Dimension
  • DType
  • get_collection
  • get_collection_ref
  • get_default_graph
  • get_seed
  • Graph
  • GraphKeys
  • import_graph_def
  • load_file_system_library
  • load_op_library
  • name_scope
  • NoGradient
  • NotDifferentiable
  • op_scope
  • Operation
  • register_tensor_conversion_function
  • RegisterGradient
  • reset_default_graph
  • shape
  • Tensor
  • TensorShape

• Asserts and boolean checks.:

  • assert_equal
  • assert_greater
  • assert_greater_equal
  • assert_integer
  • assert_less
  • assert_less_equal
  • assert_negative
  • assert_non_negative
  • assert_non_positive
  • assert_positive
  • assert_proper_iterable
  • assert_rank
  • assert_rank_at_least
  • assert_type
  • is_non_decreasing
  • is_numeric_tensor
  • is_strictly_increasing

• Constants, Sequences, and Random Values:

  • constant
  • fill
  • linspace
  • multinomial
  • ones
  • ones_like
  • random_crop
  • random_gamma
  • random_normal
  • random_shuffle
  • random_uniform
  • range
  • set_random_seed
  • truncated_normal
  • zeros
  • zeros_like

• Variables:

  • all_variables
  • assert_variables_initialized
  • assign
  • assign_add
  • assign_sub
  • constant_initializer
  • count_up_to
  • device
  • export_meta_graph
  • fixed_size_partitioner
  • get_checkpoint_state
  • get_local_variable
  • get_variable
  • get_variable_scope
  • global_variables
  • global_variables_initializer
  • import_meta_graph
  • IndexedSlices
  • initialize_all_tables
  • initialize_all_variables
  • initialize_local_variables
  • initialize_variables
  • is_variable_initialized
  • latest_checkpoint
  • local_variables
  • local_variables_initializer
  • make_template
  • min_max_variable_partitioner
  • model_variables
  • moving_average_variables
  • no_regularizer
  • ones_initializer
  • orthogonal_initializer
  • random_normal_initializer
  • random_uniform_initializer
  • report_uninitialized_variables
  • Saver
  • scatter_add
  • scatter_div
  • scatter_mul
  • scatter_nd_add
  • scatter_nd_sub
  • scatter_nd_update
  • scatter_sub
  • scatter_update
  • sparse_mask
  • tables_initializer
  • trainable_variables
  • truncated_normal_initializer
  • uniform_unit_scaling_initializer
  • update_checkpoint_state
  • Variable
  • variable_axis_size_partitioner
  • variable_op_scope
  • variable_scope
  • variables_initializer
  • VariableScope
  • zeros_initializer

• Tensor Transformations:

  • batch_to_space
  • batch_to_space_nd
  • bitcast
  • boolean_mask
  • broadcast_dynamic_shape
  • broadcast_static_shape
  • cast
  • concat
  • depth_to_space
  • dequantize
  • dynamic_partition
  • dynamic_stitch
  • expand_dims
  • extract_image_patches
  • 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
  • gather
  • gather_nd
  • meshgrid
  • one_hot
  • pad
  • parallel_stack
  • quantize_v2
  • quantized_concat
  • rank
  • required_space_to_batch_paddings
  • reshape
  • reverse
  • reverse_sequence
  • reverse_v2
  • saturate_cast
  • scatter_nd
  • sequence_mask
  • setdiff1d
  • shape
  • shape_n
  • size
  • slice
  • space_to_batch
  • space_to_batch_nd
  • space_to_depth
  • split
  • squeeze
  • stack
  • strided_slice
  • string_to_number
  • tile
  • to_bfloat16
  • to_double
  • to_float
  • to_int32
  • to_int64
  • transpose
  • unique_with_counts
  • unstack

• Math:

  • abs
  • accumulate_n
  • acos
  • add
  • add_n
  • argmax
  • argmin
  • asin
  • atan
  • betainc
  • ceil
  • cholesky
  • cholesky_solve
  • complex
  • conj
  • cos
  • count_nonzero
  • cross
  • cumprod
  • cumsum
  • diag
  • diag_part
  • digamma
  • div
  • divide
  • edit_distance
  • einsum
  • erf
  • erfc
  • exp
  • expm1
  • eye
  • fft
  • fft2d
  • fft3d
  • floor
  • floor_div
  • floordiv
  • floormod
  • ifft
  • ifft2d
  • ifft3d
  • igamma
  • igammac
  • imag
  • invert_permutation
  • lbeta
  • lgamma
  • log
  • log1p
  • 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
  • minimum
  • mod
  • multiply
  • negative
  • norm
  • polygamma
  • pow
  • qr
  • real
  • realdiv
  • reciprocal
  • reduce_all
  • reduce_any
  • reduce_logsumexp
  • reduce_max
  • reduce_mean
  • reduce_min
  • reduce_prod
  • reduce_sum
  • rint
  • round
  • rsqrt
  • scalar_mul
  • segment_max
  • segment_mean
  • segment_min
  • segment_prod
  • segment_sum
  • self_adjoint_eig
  • self_adjoint_eigvals
  • setdiff1d
  • sign
  • sin
  • sparse_segment_mean
  • sparse_segment_sqrt_n
  • sparse_segment_sum
  • sqrt
  • square
  • squared_difference
  • subtract
  • svd
  • tan
  • tensordot
  • trace
  • transpose
  • truediv
  • truncatediv
  • truncatemod
  • unique
  • unsorted_segment_sum
  • where
  • zeta

• Strings:

  • as_string
  • decode_base64
  • encode_base64
  • reduce_join
  • string_join
  • string_split
  • string_to_hash_bucket
  • string_to_hash_bucket_fast
  • string_to_hash_bucket_strong
  • substr

• Histograms:

  • histogram_fixed_width

• Control Flow:

  • add_check_numerics_ops
  • Assert
  • case
  • check_numerics
  • cond
  • count_up_to
  • equal
  • greater
  • greater_equal
  • group
  • identity
  • is_finite
  • is_inf
  • is_nan
  • less
  • less_equal
  • logical_and
  • logical_not
  • logical_or
  • logical_xor
  • no_op
  • not_equal
  • Print
  • tuple
  • verify_tensor_all_finite
  • where
  • while_loop

• Higher Order Functions:

  • foldl
  • foldr
  • map_fn
  • scan

• TensorArray Operations:

  • concat
  • gather
  • identity
  • split
  • stack
  • TensorArray
  • unstack

• Tensor Handle Operations:

  • delete_session_tensor
  • get_session_handle
  • get_session_tensor

• Images:

  • adjust_brightness
  • adjust_contrast
  • adjust_gamma
  • adjust_hue
  • adjust_saturation
  • central_crop
  • convert_image_dtype
  • crop_and_resize
  • crop_to_bounding_box
  • decode_gif
  • decode_image
  • decode_jpeg
  • decode_png
  • draw_bounding_boxes
  • encode_jpeg
  • encode_png
  • extract_glimpse
  • flip_left_right
  • flip_up_down
  • grayscale_to_rgb
  • hsv_to_rgb
  • non_max_suppression
  • pad_to_bounding_box
  • per_image_standardization
  • random_brightness
  • random_contrast
  • random_flip_left_right
  • random_flip_up_down
  • random_hue
  • random_saturation
  • resize_area
  • resize_bicubic
  • resize_bilinear
  • resize_image_with_crop_or_pad
  • resize_images
  • resize_nearest_neighbor
  • rgb_to_grayscale
  • rgb_to_hsv
  • rot90
  • sample_distorted_bounding_box
  • total_variation
  • transpose_image

• Sparse Tensors:

  • sparse_add
  • sparse_concat
  • sparse_fill_empty_rows
  • sparse_maximum
  • sparse_merge
  • sparse_minimum
  • sparse_reduce_sum
  • sparse_reduce_sum_sparse
  • sparse_reorder
  • sparse_reset_shape
  • sparse_reshape
  • sparse_retain
  • sparse_softmax
  • sparse_split
  • sparse_tensor_dense_matmul
  • sparse_tensor_to_dense
  • sparse_to_dense
  • sparse_to_indicator
  • sparse_transpose
  • SparseTensor
  • SparseTensorValue

• Inputs and Readers:

  • batch
  • batch_join
  • ConditionalAccumulator
  • ConditionalAccumulatorBase
  • decode_csv
  • decode_json_example
  • decode_raw
  • FIFOQueue
  • FixedLenFeature
  • FixedLengthRecordReader
  • FixedLenSequenceFeature
  • IdentityReader
  • input_producer
  • limit_epochs
  • match_filenames_once
  • matching_files
  • maybe_batch
  • maybe_batch_join
  • maybe_shuffle_batch
  • maybe_shuffle_batch_join
  • PaddingFIFOQueue
  • parse_example
  • parse_single_example
  • parse_tensor
  • placeholder
  • placeholder_with_default
  • PriorityQueue
  • QueueBase
  • RandomShuffleQueue
  • range_input_producer
  • read_file
  • ReaderBase
  • shuffle_batch
  • shuffle_batch_join
  • size
  • slice_input_producer
  • sparse_placeholder
  • SparseConditionalAccumulator
  • SparseFeature
  • string_input_producer
  • TextLineReader
  • TFRecordReader
  • VarLenFeature
  • WholeFileReader
  • write_file

• Data IO (Python functions):

  • tf_record_iterator
  • TFRecordCompressionType
  • TFRecordOptions
  • TFRecordWriter

• Neural Network:

  • atrous_conv2d
  • atrous_conv2d_transpose
  • avg_pool
  • avg_pool3d
  • batch_norm_with_global_normalization
  • batch_normalization
  • bias_add
  • bidirectional_dynamic_rnn
  • compute_accidental_hits
  • conv1d
  • conv2d
  • conv2d_backprop_filter
  • conv2d_backprop_input
  • conv2d_transpose
  • conv3d
  • conv3d_backprop_filter_v2
  • conv3d_transpose
  • convolution
  • crelu
  • ctc_beam_search_decoder
  • ctc_greedy_decoder
  • ctc_loss
  • depthwise_conv2d
  • depthwise_conv2d_native
  • depthwise_conv2d_native_backprop_filter
  • depthwise_conv2d_native_backprop_input
  • dilation2d
  • dropout
  • dynamic_rnn
  • elu
  • embedding_lookup
  • embedding_lookup_sparse
  • erosion2d
  • fixed_unigram_candidate_sampler
  • fractional_avg_pool
  • fractional_max_pool
  • fused_batch_norm
  • in_top_k
  • l2_loss
  • l2_normalize
  • learned_unigram_candidate_sampler
  • local_response_normalization
  • log_poisson_loss
  • log_softmax
  • log_uniform_candidate_sampler
  • max_pool
  • max_pool3d
  • max_pool_with_argmax
  • moments
  • nce_loss
  • normalize_moments
  • pool
  • quantized_avg_pool
  • quantized_conv2d
  • quantized_max_pool
  • quantized_relu_x
  • raw_rnn
  • relu
  • relu6
  • sampled_softmax_loss
  • separable_conv2d
  • sigmoid
  • sigmoid_cross_entropy_with_logits
  • softmax
  • softmax_cross_entropy_with_logits
  • softplus
  • softsign
  • sparse_softmax_cross_entropy_with_logits
  • sufficient_statistics
  • tanh
  • top_k
  • uniform_candidate_sampler
  • weighted_cross_entropy_with_logits
  • weighted_moments
  • with_space_to_batch
  • zero_fraction

• Running Graphs:

  • AbortedError
  • AlreadyExistsError
  • CancelledError
  • DataLossError
  • DeadlineExceededError
  • error_code_from_exception_type
  • exception_type_from_error_code
  • FailedPreconditionError
  • get_default_session
  • InteractiveSession
  • InternalError
  • InvalidArgumentError
  • NotFoundError
  • OpError
  • OutOfRangeError
  • PermissionDeniedError
  • raise_exception_on_not_ok_status
  • ResourceExhaustedError
  • Session
  • UnauthenticatedError
  • UnavailableError
  • UnimplementedError
  • UnknownError

• Training:

  • AdadeltaOptimizer
  • AdagradDAOptimizer
  • AdagradOptimizer
  • AdamOptimizer
  • add_queue_runner
  • AggregationMethod
  • assert_global_step
  • basic_train_loop
  • checkpoint_exists
  • CheckpointSaverHook
  • ChiefSessionCreator
  • clip_by_average_norm
  • clip_by_global_norm
  • clip_by_norm
  • clip_by_value
  • ClusterSpec
  • Coordinator
  • do_quantize_training_on_graphdef
  • exponential_decay
  • ExponentialMovingAverage
  • FtrlOptimizer
  • generate_checkpoint_state_proto
  • get_checkpoint_mtimes
  • get_global_step
  • global_norm
  • global_step
  • GlobalStepWaiterHook
  • GradientDescentOptimizer
  • gradients
  • hessians
  • inverse_time_decay
  • LoggingTensorHook
  • LooperThread
  • MomentumOptimizer
  • MonitoredSession
  • MonitoredTrainingSession
  • NanLossDuringTrainingError
  • NanTensorHook
  • natural_exp_decay
  • NewCheckpointReader
  • Optimizer
  • piecewise_constant
  • polynomial_decay
  • ProximalAdagradOptimizer
  • ProximalGradientDescentOptimizer
  • QueueRunner
  • replica_device_setter
  • RMSPropOptimizer
  • Scaffold
  • Server
  • SessionCreator
  • SessionManager
  • SessionRunArgs
  • SessionRunContext
  • SessionRunHook
  • SessionRunValues
  • SingularMonitoredSession
  • start_queue_runners
  • StepCounterHook
  • stop_gradient
  • StopAtStepHook
  • summary_iterator
  • SummarySaverHook
  • Supervisor
  • SyncReplicasOptimizer
  • WorkerSessionCreator
  • write_graph

• Wraps python functions:

  • py_func

• Summary Operations:

  • audio
  • FileWriter
  • FileWriterCache
  • get_summary_description
  • histogram
  • image
  • merge
  • merge_all
  • scalar
  • SummaryDescription
  • TaggedRunMetadata
  • tensor_summary

• Testing:

  • assert_equal_graph_def
  • Benchmark
  • compute_gradient
  • compute_gradient_error
  • get_temp_dir
  • gpu_device_name
  • is_built_with_cuda
  • is_gpu_available
  • main
  • test_src_dir_path
  • TestCase

• BayesFlow Entropy (contrib):

  • elbo_ratio
  • entropy_shannon
  • renyi_alpha
  • renyi_ratio

• BayesFlow Monte Carlo (contrib):

  • expectation
  • expectation_importance_sampler
  • expectation_importance_sampler_logspace

• BayesFlow Stochastic Graph (contrib):

  • surrogate_loss

• BayesFlow Stochastic Tensors (contrib):

  • BaseStochasticTensor
  • get_current_value_type
  • MeanValue
  • ObservedStochasticTensor
  • SampleValue
  • StochasticTensor
  • value_type

• BayesFlow Variational Inference (contrib):

  • elbo
  • elbo_with_log_joint
  • ELBOForms
  • register_prior

• CRF (contrib):

  • crf_binary_score
  • crf_log_likelihood
  • crf_log_norm
  • crf_sequence_score
  • crf_unary_score
  • CrfForwardRnnCell
  • viterbi_decode

• Statistical Distributions (contrib):

  • Bernoulli
  • BernoulliWithSigmoidP
  • Beta
  • BetaWithSoftplusAB
  • Binomial
  • Categorical
  • Chi2
  • Chi2WithAbsDf
  • Dirichlet
  • DirichletMultinomial
  • Distribution
  • Exponential
  • ExponentialWithSoftplusLam
  • Gamma
  • GammaWithSoftplusAlphaBeta
  • InverseGamma
  • InverseGammaWithSoftplusAlphaBeta
  • kl
  • Laplace
  • LaplaceWithSoftplusScale
  • matrix_diag_transform
  • Mixture
  • Multinomial
  • MultivariateNormalCholesky
  • MultivariateNormalDiag
  • MultivariateNormalDiagPlusVDVT
  • MultivariateNormalDiagWithSoftplusStDev
  • MultivariateNormalFull
  • Normal
  • normal_conjugates_known_sigma_posterior
  • normal_conjugates_known_sigma_predictive
  • NormalWithSoftplusSigma
  • Poisson
  • QuantizedDistribution
  • RegisterKL
  • softplus_inverse
  • StudentT
  • StudentTWithAbsDfSoftplusSigma
  • TransformedDistribution
  • Uniform
  • WishartCholesky
  • WishartFull

• Random variable transformations (contrib):

  • Affine
  • AffineLinearOperator
  • Bijector
  • Chain
  • CholeskyOuterProduct
  • Exp
  • Identity
  • Inline
  • Invert
  • PowerTransform
  • SigmoidCentered
  • SoftmaxCentered
  • Softplus

• FFmpeg (contrib):

  • decode_audio
  • encode_audio

• Framework (contrib):

  • add_arg_scope
  • add_model_variable
  • arg_scope
  • arg_scoped_arguments
  • assert_global_step
  • assert_or_get_global_step
  • assert_same_float_dtype
  • assert_scalar_int
  • assign_from_checkpoint
  • assign_from_checkpoint_fn
  • assign_from_values
  • assign_from_values_fn
  • convert_to_tensor_or_sparse_tensor
  • create_global_step
  • deprecated
  • deprecated_arg_values
  • deprecated_args
  • get_global_step
  • get_graph_from_inputs
  • get_local_variables
  • get_model_variables
  • get_or_create_global_step
  • get_unique_variable
  • get_variables
  • get_variables_by_name
  • get_variables_by_suffix
  • get_variables_to_restore
  • has_arg_scope
  • init_from_checkpoint
  • is_non_decreasing
  • is_numeric_tensor
  • is_strictly_increasing
  • is_tensor
  • list_variables
  • load_checkpoint
  • load_variable
  • local_variable
  • model_variable
  • reduce_sum_n
  • variable
  • VariableDeviceChooser
  • with_same_shape
  • with_shape
  • zero_initializer

• Graph Editor (contrib):

  • add_control_inputs
  • assign_renamed_collections_handler
  • bypass
  • check_cios
  • compute_boundary_ts
  • connect
  • ControlOutputs
  • copy
  • copy_op_handler
  • copy_with_input_replacements
  • detach
  • detach_control_inputs
  • detach_control_outputs
  • detach_inputs
  • detach_outputs
  • filter_ops
  • filter_ops_from_regex
  • filter_ts
  • filter_ts_from_regex
  • get_backward_walk_ops
  • get_consuming_ops
  • get_forward_walk_ops
  • get_generating_ops
  • get_name_scope_ops
  • get_ops_ios
  • get_tensors
  • get_walks_intersection_ops
  • get_walks_union_ops
  • get_within_boundary_ops
  • graph_replace
  • keep_t_if_possible_handler
  • make_list_of_op
  • make_list_of_t
  • make_placeholder_from_dtype_and_shape
  • make_placeholder_from_tensor
  • make_view
  • make_view_from_scope
  • matcher
  • op_type
  • OpMatcher
  • ops
  • ph
  • placeholder_name
  • remove_control_inputs
  • replace_t_with_placeholder_handler
  • reroute_a2b
  • reroute_a2b_inputs
  • reroute_a2b_outputs
  • reroute_a2b_ts
  • reroute_b2a
  • reroute_b2a_inputs
  • reroute_b2a_outputs
  • reroute_b2a_ts
  • select_ops
  • select_ops_and_ts
  • select_ts
  • sgv
  • sgv_scope
  • SubGraphView
  • swap
  • swap_inputs
  • swap_outputs
  • swap_ts
  • transform_op_if_inside_handler
  • transform_op_in_place
  • Transformer
  • ts

• Integrate (contrib):

  • odeint

• Layers (contrib):

  • apply_regularization
  • avg_pool2d
  • batch_norm
  • bucketized_column
  • check_feature_columns
  • convolution2d
  • convolution2d_in_plane
  • convolution2d_transpose
  • create_feature_spec_for_parsing
  • crossed_column
  • embedding_column
  • flatten
  • fully_connected
  • input_from_feature_columns
  • joint_weighted_sum_from_feature_columns
  • l1_regularizer
  • l2_regularizer
  • layer_norm
  • make_place_holder_tensors_for_base_features
  • max_pool2d
  • one_hot_column
  • one_hot_encoding
  • optimize_loss
  • parse_feature_columns_from_examples
  • parse_feature_columns_from_sequence_examples
  • real_valued_column
  • repeat
  • safe_embedding_lookup_sparse
  • scattered_embedding_column
  • separable_convolution2d
  • shared_embedding_columns
  • sparse_column_with_hash_bucket
  • sparse_column_with_integerized_feature
  • sparse_column_with_keys
  • sum_regularizer
  • summarize_activation
  • summarize_activations
  • summarize_collection
  • summarize_tensor
  • summarize_tensors
  • unit_norm
  • variance_scaling_initializer
  • weighted_sparse_column
  • weighted_sum_from_feature_columns
  • xavier_initializer
  • xavier_initializer_conv2d

• Learn (contrib):

  • BaseEstimator
  • DNNClassifier
  • DNNRegressor
  • Estimator
  • Evaluable
  • evaluate
  • extract_dask_data
  • extract_dask_labels
  • extract_pandas_data
  • extract_pandas_labels
  • extract_pandas_matrix
  • infer
  • infer_real_valued_columns_from_input
  • infer_real_valued_columns_from_input_fn
  • LinearClassifier
  • LinearRegressor
  • LogisticRegressor
  • ModeKeys
  • NanLossDuringTrainingError
  • read_batch_examples
  • read_batch_features
  • read_batch_record_features
  • run_feeds
  • run_n
  • RunConfig
  • train
  • Trainable

• Monitors (contrib):

  • BaseMonitor
  • CaptureVariable
  • CheckpointSaver
  • EveryN
  • ExportMonitor
  • get_default_monitors
  • GraphDump
  • LoggingTrainable
  • NanLoss
  • PrintTensor
  • replace_monitors_with_hooks
  • RunHookAdapterForMonitors
  • StepCounter
  • StopAtStep
  • SummarySaver
  • SummaryWriterCache
  • ValidationMonitor

• Sequence to Sequence (contrib):

  • attention_decoder
  • basic_rnn_seq2seq
  • embedding_attention_decoder
  • embedding_attention_seq2seq
  • embedding_rnn_decoder
  • embedding_rnn_seq2seq
  • embedding_tied_rnn_seq2seq
  • model_with_buckets
  • one2many_rnn_seq2seq
  • rnn_decoder
  • sequence_loss
  • sequence_loss_by_example
  • tied_rnn_seq2seq

• Linear Algebra (contrib):

  • LinearOperator
  • LinearOperatorComposition
  • LinearOperatorDiag
  • LinearOperatorIdentity
  • LinearOperatorMatrix
  • LinearOperatorScaledIdentity
  • LinearOperatorTriL

• Losses (contrib):

  • absolute_difference
  • add_loss
  • compute_weighted_loss
  • cosine_distance
  • get_losses
  • get_regularization_losses
  • get_total_loss
  • hinge_loss
  • log_loss
  • mean_pairwise_squared_error
  • mean_squared_error
  • sigmoid_cross_entropy
  • softmax_cross_entropy
  • sparse_softmax_cross_entropy

• Optimization (contrib):

  • ExternalOptimizerInterface
  • MovingAverageOptimizer
  • ScipyOptimizerInterface
  • VariableClippingOptimizer

• RNN and Cells (contrib):

  • AttentionCellWrapper
  • BasicLSTMCell
  • BasicRNNCell
  • BidirectionalGridLSTMCell
  • CoupledInputForgetGateLSTMCell
  • DropoutWrapper
  • EmbeddingWrapper
  • FusedRNNCell
  • FusedRNNCellAdaptor
  • GridLSTMCell
  • GRUBlockCell
  • GRUCell
  • InputProjectionWrapper
  • LayerNormBasicLSTMCell
  • LSTMBlockCell
  • LSTMBlockFusedCell
  • LSTMBlockWrapper
  • LSTMCell
  • LSTMStateTuple
  • MultiRNNCell
  • OutputProjectionWrapper
  • RNNCell
  • stack_bidirectional_dynamic_rnn
  • stack_bidirectional_rnn
  • static_bidirectional_rnn
  • static_rnn
  • static_state_saving_rnn
  • TimeFreqLSTMCell
  • TimeReversedFusedRNN

• Metrics (contrib):

  • accuracy
  • aggregate_metric_map
  • aggregate_metrics
  • auc_using_histogram
  • set_difference
  • set_intersection
  • set_size
  • set_union
  • streaming_accuracy
  • streaming_auc
  • streaming_concat
  • streaming_covariance
  • streaming_false_negatives
  • streaming_false_negatives_at_thresholds
  • streaming_false_positives
  • streaming_false_positives_at_thresholds
  • streaming_mean
  • streaming_mean_absolute_error
  • streaming_mean_cosine_distance
  • streaming_mean_iou
  • streaming_mean_relative_error
  • streaming_mean_squared_error
  • streaming_pearson_correlation
  • streaming_percentage_less
  • streaming_precision
  • streaming_precision_at_thresholds
  • streaming_recall
  • streaming_recall_at_k
  • streaming_recall_at_thresholds
  • streaming_root_mean_squared_error
  • streaming_sensitivity_at_specificity
  • streaming_sparse_average_precision_at_k
  • streaming_sparse_precision_at_k
  • streaming_sparse_precision_at_top_k
  • streaming_sparse_recall_at_k
  • streaming_specificity_at_sensitivity
  • streaming_true_negatives
  • streaming_true_negatives_at_thresholds
  • streaming_true_positives
  • streaming_true_positives_at_thresholds

• Training (contrib):

  • batch_sequences_with_states
  • bucket
  • bucket_by_sequence_length
  • NextQueuedSequenceBatch
  • rejection_sample
  • resample_at_rate
  • SequenceQueueingStateSaver
  • stratified_sample
  • weighted_resample

• Utilities (contrib):

  • constant_value
  • make_ndarray
  • make_tensor_proto
  • ops_used_by_graph_def
  • stripped_op_list_for_graph

• Copying Graph Elements (contrib):

  • copy_op_to_graph
  • copy_variable_to_graph
  • get_copied_op

• TensorFlow Debugger:

  • add_debug_tensor_watch
  • DebugDumpDir
  • DebugTensorDatum
  • DumpingDebugHook
  • DumpingDebugWrapperSession
  • has_inf_or_nan
  • load_tensor_from_event_file
  • LocalCLIDebugHook
  • LocalCLIDebugWrapperSession
  • watch_graph
  • watch_graph_with_blacklists