APIリファレンス
日本語訳はGoogle 翻訳を使用しています
TensorFlow Core
Python
- add_check_numerics_ops
- add_to_collection
- add_to_collections
- AggregationMethod
- all_variables
- argsort
- arg_max
- arg_min
- assert_variables_initialized
- assign
- assign_add
- assign_sub
- AttrValue
- batch_gather
- batch_scatter_update
- batch_to_space
- batch_to_space_nd
- bitcast
- boolean_mask
- broadcast_dynamic_shape
- broadcast_static_shape
- broadcast_to
- case
- cast
- clip_by_average_norm
- clip_by_global_norm
- clip_by_norm
- clip_by_value
- colocate_with
- concat
- cond
- ConditionalAccumulator
- ConditionalAccumulatorBase
- ConfigProto
- constant
- container
- control_dependencies
- control_flow_v2_enabled
- convert_to_tensor
- convert_to_tensor_or_indexed_slices
- convert_to_tensor_or_sparse_tensor
- count_up_to
- create_partitioned_variables
- CriticalSection
- custom_gradient
- decode_raw
- delete_session_tensor
- device
- DeviceSpec
- Dimension
- disable_control_flow_v2
- disable_eager_execution
- disable_resource_variables
- disable_tensor_equality
- disable_v2_behavior
- disable_v2_tensorshape
- div
- dynamic_partition
- dynamic_stitch
- edit_distance
- einsum
- enable_control_flow_v2
- enable_eager_execution
- enable_resource_variables
- enable_tensor_equality
- enable_v2_behavior
- enable_v2_tensorshape
- ensure_shape
- Event
- executing_eagerly
- expand_dims
- extract_volume_patches
- eye
- fill
- fingerprint
- FixedLengthRecordReader
- fixed_size_partitioner
- floor_div
- foldl
- foldr
- function
- gather
- gather_nd
- get_collection
- get_collection_ref
- get_default_graph
- get_default_session
- get_local_variable
- get_logger
- get_session_handle
- get_session_tensor
- get_static_value
- get_variable
- get_variable_scope
- global_variables
- glorot_normal_initializer
- glorot_uniform_initializer
- GPUOptions
- gradients
- GradientTape
- grad_pass_through
- Graph
- GraphDef
- GraphKeys
- GraphOptions
- group
- guarantee_const
- hessians
- HistogramProto
- histogram_fixed_width
- histogram_fixed_width_bins
- identity
- IdentityReader
- identity_n
- IndexedSlices
- IndexedSlicesSpec
- initialize_all_tables
- initialize_all_variables
- initialize_local_variables
- initialize_variables
- init_scope
- InteractiveSession
- is_tensor
- is_variable_initialized
- linspace
- LMDBReader
- load_file_system_library
- load_library
- load_op_library
- local_variables
- LogMessage
- make_ndarray
- make_template
- make_tensor_proto
- map_fn
- meshgrid
- MetaGraphDef
- min_max_variable_partitioner
- model_variables
- Module
- moving_average_variables
- NameAttrList
- name_scope
- NodeDef
- nondifferentiable_batch_function
- norm
- no_gradient
- no_op
- no_regularizer
- numpy_function
- ones
- ones_like
- one_hot
- Operation
- OptimizerOptions
- OptionalSpec
- op_scope
- pad
- parallel_stack
- placeholder
- placeholder_with_default
- py_func
- py_function
- quantize_v2
- RaggedTensor
- RaggedTensorSpec
- random_normal_initializer
- random_uniform_initializer
- range
- rank
- ReaderBase
- realdiv
- recompute_grad
- RegisterGradient
- register_tensor_conversion_function
- repeat
- report_uninitialized_variables
- required_space_to_batch_paddings
- reset_default_graph
- reshape
- resource_variables_enabled
- reverse
- reverse_sequence
- roll
- RunMetadata
- RunOptions
- 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
- searchsorted
- sequence_mask
- Session
- SessionLog
- setdiff1d
- shape
- shape_n
- size
- slice
- sort
- space_to_batch_nd
- SparseTensorSpec
- SparseTensorValue
- sparse_matmul
- sparse_to_dense
- split
- squeeze
- stack
- stop_gradient
- strided_slice
- string_split
- substr
- SummaryMetadata
- switch_case
- Tensor
- TensorArray
- TensorArraySpec
- tensordot
- TensorInfo
- TensorShape
- TensorSpec
- tensor_scatter_nd_add
- tensor_scatter_nd_sub
- tensor_scatter_nd_update
- TextLineReader
- TFRecordReader
- tile
- timestamp
- to_bfloat16
- to_complex128
- to_complex64
- to_double
- to_float
- to_int32
- to_int64
- trainable_variables
- transpose
- truncatediv
- truncatemod
- tuple
- TypeSpec
- UnconnectedGradients
- unique
- unique_with_counts
- unravel_index
- unstack
- Variable
- VariableAggregation
- VariableScope
- VariableSynchronization
- variable_axis_size_partitioner
- variable_creator_scope
- variable_op_scope
- variable_scope
- vectorized_map
- where
- where_v2
- while_loop
- WholeFileReader
- wrap_function
- zeros
- zeros_initializer
- zeros_like
- argmax
- argmin
- assert_equal
- assert_greater
- assert_less
- assert_rank
- batch_to_space
- boolean_mask
- case
- cond
- constant
- convert_to_tensor
- device
- DeviceSpec
- expand_dims
- gather
- gather_nd
- gradients
- hessians
- name_scope
- norm
- ones_like
- pad
- reduce_all
- reduce_any
- reduce_logsumexp
- reduce_max
- reduce_mean
- reduce_min
- reduce_prod
- reduce_sum
- reverse_sequence
- scalar_mul
- shape
- size
- space_to_batch
- squeeze
- transpose
- tuple
- Variable
- VariableAggregation
- variable_creator_scope
- while_loop
- zeros_like
- avg_pool2d
- batch_norm_with_global_normalization
- conv1d
- conv2d
- conv2d_transpose
- conv3d
- conv3d_transpose
- convolution
- crelu
- depthwise_conv2d
- depth_to_space
- dilation2d
- dropout
- embedding_lookup
- embedding_lookup_sparse
- erosion2d
- fractional_avg_pool
- fractional_max_pool
- max_pool_with_argmax
- moments
- nce_loss
- pool
- RNNCellDeviceWrapper
- RNNCellDropoutWrapper
- RNNCellResidualWrapper
- safe_embedding_lookup_sparse
- sampled_softmax_loss
- separable_conv2d
- sigmoid_cross_entropy_with_logits
- softmax_cross_entropy_with_logits
- space_to_depth
- sparse_softmax_cross_entropy_with_logits
- sufficient_statistics
- weighted_cross_entropy_with_logits
- weighted_moments
- assert_element_shape
- batch_and_drop_remainder
- bucket_by_sequence_length
- CheckpointInputPipelineHook
- choose_from_datasets
- copy_to_device
- Counter
- CsvDataset
- dense_to_sparse_batch
- enumerate_dataset
- get_single_element
- group_by_reducer
- group_by_window
- ignore_errors
- LMDBDataset
- make_batched_features_dataset
- make_csv_dataset
- make_saveable_from_iterator
- map_and_batch
- padded_batch_and_drop_remainder
- parallel_interleave
- parse_example_dataset
- prefetch_to_device
- RandomDataset
- read_batch_features
- Reducer
- reduce_dataset
- rejection_resample
- sample_from_datasets
- scan
- shuffle_and_repeat
- sliding_window_batch
- sloppy_interleave
- SqlDataset
- TFRecordWriter
- unbatch
- unique
- 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
- fill_triangular_inverse
- 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
- AbsoluteValue
- Affine
- AffineLinearOperator
- AffineScalar
- BatchNormalization
- Bijector
- Chain
- CholeskyOuterProduct
- ConditionalBijector
- Exp
- FillTriangular
- Gumbel
- Identity
- Inline
- Invert
- Kumaraswamy
- MaskedAutoregressiveFlow
- masked_autoregressive_default_template
- masked_dense
- MatrixInverseTriL
- Ordered
- Permute
- PowerTransform
- RealNVP
- real_nvp_default_template
- Reshape
- ScaleTriL
- Sigmoid
- SinhArcsinh
- SoftmaxCentered
- Softplus
- Softsign
- Square
- TransformDiagonal
- add_execution_callback
- async_clear_error
- async_wait
- clear_execution_callbacks
- defun
- EagerVariableStore
- enable_remote_eager_execution
- errstate
- ExecutionCallback
- execution_mode
- get_optimizer_variables
- gradients_function
- implicit_gradients
- implicit_value_and_gradients
- inf_callback
- inf_nan_callback
- Iterator
- make_template
- nan_callback
- Network
- num_gpus
- restore_network_checkpoint
- restore_variables_on_create
- run
- run_all_tests_in_graph_and_eager_modes
- run_test_in_graph_and_eager_modes
- Saver
- save_network_checkpoint
- Sequential
- seterr
- set_execution_mode
- set_server_def
- value_and_gradients_function
- Variable
- add_metrics
- binary_classification_head
- boosted_trees_classifier_train_in_memory
- boosted_trees_regressor_train_in_memory
- build_raw_supervised_input_receiver_fn
- build_supervised_input_receiver_fn_from_input_fn
- call_logit_fn
- clip_gradients_by_norm
- DNNClassifierWithLayerAnnotations
- DNNRegressorWithLayerAnnotations
- dnn_logit_fn_builder
- export_all_saved_models
- export_saved_model_for_mode
- forward_features
- linear_logit_fn_builder
- logistic_regression_head
- multi_class_head
- multi_head
- multi_label_head
- poisson_regression_head
- regression_head
- replicate_model_fn
- RNNClassifier
- RNNEstimator
- SavedModelEstimator
- TowerOptimizer
- add_arg_scope
- add_model_variable
- 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
- convolutional_orthogonal_1d
- convolutional_orthogonal_2d
- convolutional_orthogonal_3d
- create_global_step
- 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
- 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
- RecordInput
- reduce_sum_n
- remove_squeezable_dimensions
- smart_case
- smart_cond
- smart_constant_value
- strip_name_scope
- variable
- VariableDeviceChooser
- with_same_shape
- with_shape
- zero_initializer
- assert_shallow_structure
- flatten_dict_items
- flatten_up_to
- flatten_with_joined_string_paths
- flatten_with_tuple_paths
- flatten_with_tuple_paths_up_to
- get_traverse_shallow_structure
- is_sequence
- is_sequence_or_composite
- map_structure_up_to
- map_structure_with_paths
- map_structure_with_tuple_paths
- map_structure_with_tuple_paths_up_to
- yield_flat_paths
- add_control_inputs
- assign_renamed_collections_handler
- bypass
- can_be_regex
- 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_regex
- make_view
- make_view_from_scope
- placeholder_name
- remove_control_inputs
- replace_t_with_placeholder_handler
- reroute_inputs
- reroute_ios
- reroute_outputs
- reroute_ts
- select_ops
- select_ops_and_ts
- select_ts
- SubGraphView
- swap_inputs
- swap_ios
- swap_outputs
- swap_ts
- Transformer
- TransformerInfo
- transform_op_if_inside_handler
- apply_regularization
- avg_pool2d
- avg_pool3d
- batch_norm
- bias_add
- bow_encoder
- bucketized_column
- check_feature_columns
- conv1d
- conv2d
- conv2d_in_plane
- conv2d_transpose
- conv3d
- conv3d_transpose
- convolution
- create_feature_spec_for_parsing
- crossed_column
- dense_to_sparse
- dropout
- embedding_column
- embedding_lookup_unique
- embed_sequence
- flatten
- fully_connected
- gdn
- group_norm
- images_to_sequence
- infer_real_valued_columns
- input_from_feature_columns
- instance_norm
- joint_weighted_sum_from_feature_columns
- l1_l2_regularizer
- l1_regularizer
- l2_regularizer
- layer_norm
- legacy_fully_connected
- make_place_holder_tensors_for_base_features
- maxout
- max_pool2d
- max_pool3d
- multi_class_target
- one_hot_column
- one_hot_encoding
- optimize_loss
- parse_feature_columns_from_examples
- parse_feature_columns_from_sequence_examples
- real_valued_column
- recompute_grad
- regression_target
- repeat
- RevBlock
- rev_block
- safe_embedding_lookup_sparse
- scattered_embedding_column
- separable_conv2d
- sequence_input_from_feature_columns
- sequence_to_images
- shared_embedding_columns
- softmax
- sparse_column_with_hash_bucket
- sparse_column_with_integerized_feature
- sparse_column_with_keys
- sparse_column_with_vocabulary_file
- spatial_softmax
- stack
- summarize_activation
- summarize_activations
- summarize_collection
- summarize_tensor
- summarize_tensors
- sum_regularizer
- transform_features
- unit_norm
- variance_scaling_initializer
- weighted_sparse_column
- weighted_sum_from_feature_columns
- xavier_initializer
- BaseEstimator
- binary_svm_head
- build_parsing_serving_input_fn
- DNNClassifier
- DNNEstimator
- DNNLinearCombinedClassifier
- DNNLinearCombinedEstimator
- DNNLinearCombinedRegressor
- DNNRegressor
- DynamicRnnEstimator
- Estimator
- Evaluable
- evaluate
- Experiment
- ExportStrategy
- 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
- InputFnOps
- KMeansClustering
- LinearClassifier
- LinearEstimator
- LinearRegressor
- LogisticRegressor
- make_export_strategy
- MetricSpec
- ModeKeys
- ModelFnOps
- multi_class_head
- multi_head
- multi_label_head
- NanLossDuringTrainingError
- NotFittedError
- no_op_train_fn
- poisson_regression_head
- PredictionKey
- ProblemType
- read_batch_examples
- read_batch_features
- read_batch_record_features
- read_keyed_batch_examples
- read_keyed_batch_examples_shared_queue
- read_keyed_batch_features
- read_keyed_batch_features_shared_queue
- regression_head
- RunConfig
- run_feeds
- run_n
- SKCompat
- SVM
- TaskType
- train
- Trainable
- HasherSpec
- HashTable
- IdTableWithHashBuckets
- index_table_from_file
- index_table_from_tensor
- index_to_string
- index_to_string_table_from_file
- index_to_string_table_from_tensor
- InitializableLookupTableBase
- LookupInterface
- MutableHashTable
- string_to_index
- string_to_index_table_from_file
- string_to_index_table_from_tensor
- StrongHashSpec
- TableInitializerBase
- TextFileIdTableInitializer
- TextFileStringTableInitializer
- accuracy
- aggregate_metrics
- aggregate_metric_map
- auc_using_histogram
- auc_with_confidence_intervals
- cohen_kappa
- confusion_matrix
- count
- f1_score
- precision_at_recall
- precision_recall_at_equal_thresholds
- recall_at_precision
- sparse_recall_at_top_k
- streaming_accuracy
- streaming_auc
- streaming_concat
- streaming_covariance
- streaming_curve_points
- streaming_dynamic_auc
- streaming_false_negatives
- streaming_false_negatives_at_thresholds
- streaming_false_negative_rate
- streaming_false_negative_rate_at_thresholds
- streaming_false_positives
- streaming_false_positives_at_thresholds
- streaming_false_positive_rate
- streaming_false_positive_rate_at_thresholds
- streaming_mean
- streaming_mean_absolute_error
- streaming_mean_cosine_distance
- streaming_mean_iou
- streaming_mean_relative_error
- streaming_mean_squared_error
- streaming_mean_tensor
- 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_average_precision_at_top_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
- AdaMaxOptimizer
- AdamGSOptimizer
- AdamWOptimizer
- AddSignOptimizer
- AGNCustomGetter
- AGNOptimizer
- clip_gradients_by_global_norm
- DecoupledWeightDecayExtension
- DropStaleGradientOptimizer
- ElasticAverageCustomGetter
- ElasticAverageOptimizer
- extend_with_decoupled_weight_decay
- ExternalOptimizerInterface
- GGTOptimizer
- LARSOptimizer
- LazyAdamGSOptimizer
- LazyAdamOptimizer
- ModelAverageCustomGetter
- ModelAverageOptimizer
- MomentumWOptimizer
- MovingAverageOptimizer
- MultitaskOptimizerWrapper
- NadamOptimizer
- PowerSignOptimizer
- RegAdagradOptimizer
- ScipyOptimizerInterface
- ShampooOptimizer
- VariableClippingOptimizer
- AttentionCellWrapper
- best_effort_input_batch_size
- BidirectionalGridLSTMCell
- CompiledWrapper
- Conv1DLSTMCell
- Conv2DLSTMCell
- Conv3DLSTMCell
- ConvLSTMCell
- CoupledInputForgetGateLSTMCell
- EmbeddingWrapper
- FusedRNNCell
- FusedRNNCellAdaptor
- GLSTMCell
- GridLSTMCell
- GRUBlockCell
- GRUBlockCellV2
- HighwayWrapper
- IndRNNCell
- IndyGRUCell
- IndyLSTMCell
- InputProjectionWrapper
- IntersectionRNNCell
- LayerNormBasicLSTMCell
- LayerRNNCell
- LSTMBlockCell
- LSTMBlockFusedCell
- LSTMBlockWrapper
- NASCell
- OutputProjectionWrapper
- PhasedLSTMCell
- SRUCell
- stack_bidirectional_dynamic_rnn
- stack_bidirectional_rnn
- TimeFreqLSTMCell
- TimeReversedFusedRNN
- transpose_batch_time
- UGRNNCell
- AttentionMechanism
- AttentionWrapper
- AttentionWrapperState
- BahdanauAttention
- BahdanauMonotonicAttention
- BasicDecoder
- BasicDecoderOutput
- BeamSearchDecoder
- BeamSearchDecoderOutput
- BeamSearchDecoderState
- CustomHelper
- Decoder
- dynamic_decode
- FinalBeamSearchDecoderOutput
- gather_tree
- GreedyEmbeddingHelper
- hardmax
- Helper
- InferenceHelper
- LuongAttention
- LuongMonotonicAttention
- monotonic_attention
- safe_cumprod
- SampleEmbeddingHelper
- ScheduledEmbeddingTrainingHelper
- ScheduledOutputTrainingHelper
- sequence_loss
- tile_batch
- TrainingHelper
- add_gradients_summaries
- batch_sequences_with_states
- bucket
- bucket_by_sequence_length
- byte_size_load_fn
- checkpoints_iterator
- clip_gradient_norms
- clip_gradient_norms_fn
- create_train_op
- evaluate_once
- evaluate_repeatedly
- FeedingQueueRunner
- get_or_create_eval_step
- GreedyLoadBalancingStrategy
- HParams
- multiply_gradients
- NextQueuedSequenceBatch
- parse_values
- RandomStrategy
- rejection_sample
- resample_at_rate
- SequenceQueueingStateSaver
- StopAfterNEvalsHook
- stratified_sample
- SummaryAtEndHook
- train
- wait_for_new_checkpoint
- weighted_resample
- bucket_by_sequence_length
- bytes_produced_stats
- cardinality
- CheckpointInputPipelineHook
- choose_from_datasets
- copy_to_device
- Counter
- CsvDataset
- dense_to_sparse_batch
- DistributeOptions
- enumerate_dataset
- from_variant
- get_next_as_optional
- get_single_element
- get_structure
- group_by_reducer
- group_by_window
- ignore_errors
- latency_stats
- make_batched_features_dataset
- make_csv_dataset
- make_saveable_from_iterator
- MapVectorizationOptions
- map_and_batch
- map_and_batch_with_legacy_function
- OptimizationOptions
- Optional
- parallel_interleave
- parse_example_dataset
- prefetch_to_device
- RaggedTensorStructure
- RandomDataset
- Reducer
- rejection_resample
- sample_from_datasets
- scan
- shuffle_and_repeat
- SparseTensorStructure
- SqlDataset
- StatsAggregator
- StatsOptions
- take_while
- TensorArrayStructure
- TensorStructure
- TFRecordWriter
- ThreadingOptions
- to_variant
- unbatch
- unique
- Assert
- assert_all_finite
- 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_shapes
- assert_type
- check_numerics
- get_log_device_placement
- is_numeric_tensor
- set_log_device_placement
- AbortedError
- AlreadyExistsError
- CancelledError
- DataLossError
- DeadlineExceededError
- error_code_from_exception_type
- exception_type_from_error_code
- FailedPreconditionError
- InternalError
- InvalidArgumentError
- NotFoundError
- OpError
- OutOfRangeError
- PermissionDeniedError
- raise_exception_on_not_ok_status
- ResourceExhaustedError
- UnauthenticatedError
- UnavailableError
- UnimplementedError
- UnknownError
- add_metrics
- BaselineClassifier
- BaselineEstimator
- BaselineRegressor
- BestExporter
- BinaryClassHead
- BoostedTreesClassifier
- BoostedTreesEstimator
- BoostedTreesRegressor
- classifier_parse_example_spec
- DNNClassifier
- DNNEstimator
- DNNLinearCombinedClassifier
- DNNLinearCombinedEstimator
- DNNLinearCombinedRegressor
- DNNRegressor
- Estimator
- EstimatorSpec
- EvalSpec
- Exporter
- FinalExporter
- Head
- LatestExporter
- LinearClassifier
- LinearEstimator
- LinearRegressor
- LogisticRegressionHead
- ModeKeys
- MultiClassHead
- MultiHead
- MultiLabelHead
- PoissonRegressionHead
- RegressionHead
- regressor_parse_example_spec
- RunConfig
- TrainSpec
- train_and_evaluate
- WarmStartSettings
- bucketized_column
- categorical_column_with_hash_bucket
- categorical_column_with_identity
- categorical_column_with_vocabulary_file
- categorical_column_with_vocabulary_list
- crossed_column
- embedding_column
- indicator_column
- input_layer
- linear_model
- make_parse_example_spec
- numeric_column
- sequence_categorical_column_with_hash_bucket
- sequence_categorical_column_with_identity
- sequence_categorical_column_with_vocabulary_file
- sequence_categorical_column_with_vocabulary_list
- sequence_numeric_column
- shared_embedding_columns
- weighted_categorical_column
- adjust_brightness
- adjust_contrast
- adjust_gamma
- adjust_hue
- adjust_jpeg_quality
- adjust_saturation
- central_crop
- combined_non_max_suppression
- convert_image_dtype
- crop_and_resize
- crop_to_bounding_box
- draw_bounding_boxes
- encode_png
- extract_glimpse
- extract_image_patches
- extract_patches
- flip_left_right
- flip_up_down
- grayscale_to_rgb
- hsv_to_rgb
- image_gradients
- non_max_suppression
- non_max_suppression_overlaps
- non_max_suppression_padded
- non_max_suppression_with_scores
- pad_to_bounding_box
- per_image_standardization
- psnr
- random_brightness
- random_contrast
- random_crop
- random_flip_left_right
- random_flip_up_down
- random_hue
- random_jpeg_quality
- random_saturation
- ResizeMethod
- resize_area
- resize_bicubic
- resize_bilinear
- resize_images
- resize_image_with_pad
- resize_nearest_neighbor
- resize_with_crop_or_pad
- rgb_to_grayscale
- rgb_to_hsv
- rgb_to_yiq
- rgb_to_yuv
- rot90
- sample_distorted_bounding_box
- sobel_edges
- ssim
- ssim_multiscale
- total_variation
- transpose
- yiq_to_rgb
- yuv_to_rgb
- decode_and_crop_jpeg
- decode_base64
- decode_bmp
- decode_compressed
- decode_csv
- decode_gif
- decode_image
- decode_jpeg
- decode_json_example
- decode_png
- decode_proto
- deserialize_many_sparse
- encode_base64
- encode_jpeg
- encode_proto
- extract_jpeg_shape
- FixedLenFeature
- FixedLenSequenceFeature
- is_jpeg
- matching_files
- match_filenames_once
- parse_example
- parse_sequence_example
- parse_single_example
- parse_single_sequence_example
- parse_tensor
- read_file
- serialize_many_sparse
- serialize_sparse
- serialize_tensor
- SparseFeature
- TFRecordCompressionType
- TFRecordOptions
- TFRecordWriter
- tf_record_iterator
- VarLenFeature
- write_file
- write_graph
- abs
- all
- any
- arange
- argmax
- argmin
- backend
- batch_dot
- batch_flatten
- batch_get_value
- batch_normalization
- batch_set_value
- bias_add
- binary_crossentropy
- cast
- cast_to_floatx
- categorical_crossentropy
- clear_session
- clip
- concatenate
- constant
- conv1d
- conv2d
- conv2d_transpose
- conv3d
- cos
- count_params
- ctc_batch_cost
- ctc_decode
- ctc_label_dense_to_sparse
- cumprod
- cumsum
- dot
- dropout
- dtype
- elu
- epsilon
- equal
- eval
- exp
- expand_dims
- eye
- flatten
- floatx
- foldl
- foldr
- function
- gather
- get_session
- get_uid
- get_value
- gradients
- greater
- greater_equal
- hard_sigmoid
- image_data_format
- int_shape
- in_test_phase
- in_top_k
- in_train_phase
- is_sparse
- l2_normalize
- learning_phase
- learning_phase_scope
- less
- less_equal
- local_conv1d
- local_conv2d
- log
- manual_variable_initialization
- map_fn
- max
- maximum
- mean
- min
- minimum
- moving_average_update
- ndim
- normalize_batch_in_training
- not_equal
- ones
- ones_like
- one_hot
- permute_dimensions
- placeholder
- pool2d
- pool3d
- pow
- print_tensor
- prod
- random_binomial
- random_normal
- random_normal_variable
- random_uniform
- random_uniform_variable
- relu
- repeat
- repeat_elements
- reset_uids
- reshape
- resize_images
- resize_volumes
- reverse
- rnn
- round
- separable_conv2d
- set_epsilon
- set_floatx
- set_image_data_format
- set_learning_phase
- set_session
- set_value
- shape
- sigmoid
- sign
- sin
- softmax
- softplus
- softsign
- sparse_categorical_crossentropy
- spatial_2d_padding
- spatial_3d_padding
- sqrt
- square
- squeeze
- stack
- std
- stop_gradient
- sum
- switch
- tanh
- temporal_padding
- tile
- to_dense
- transpose
- truncated_normal
- update
- update_add
- update_sub
- var
- variable
- zeros
- zeros_like
- AbstractRNNCell
- Activation
- ActivityRegularization
- add
- AdditiveAttention
- AlphaDropout
- Attention
- average
- AveragePooling1D
- AveragePooling2D
- AveragePooling3D
- BatchNormalization
- Bidirectional
- concatenate
- Conv1D
- Conv2D
- Conv2DTranspose
- Conv3D
- Conv3DTranspose
- ConvLSTM2D
- Cropping1D
- Cropping2D
- Cropping3D
- CuDNNGRU
- CuDNNLSTM
- Dense
- DenseFeatures
- DepthwiseConv2D
- deserialize
- dot
- Dropout
- ELU
- Embedding
- Flatten
- GaussianDropout
- GaussianNoise
- GlobalAveragePooling1D
- GlobalAveragePooling2D
- GlobalAveragePooling3D
- GlobalMaxPool1D
- GlobalMaxPool2D
- GlobalMaxPool3D
- GRU
- GRUCell
- InputLayer
- Lambda
- Layer
- LayerNormalization
- LeakyReLU
- LocallyConnected1D
- LocallyConnected2D
- LSTM
- LSTMCell
- Masking
- maximum
- MaxPool1D
- MaxPool2D
- MaxPool3D
- minimum
- multiply
- Permute
- PReLU
- ReLU
- RepeatVector
- Reshape
- RNN
- SeparableConv1D
- SeparableConv2D
- serialize
- SimpleRNN
- SimpleRNNCell
- Softmax
- SpatialDropout1D
- SpatialDropout2D
- SpatialDropout3D
- StackedRNNCells
- subtract
- ThresholdedReLU
- TimeDistributed
- UpSampling1D
- UpSampling2D
- UpSampling3D
- Wrapper
- ZeroPadding1D
- ZeroPadding2D
- ZeroPadding3D
- BinaryCrossentropy
- binary_crossentropy
- CategoricalCrossentropy
- CategoricalHinge
- categorical_crossentropy
- categorical_hinge
- cosine
- CosineSimilarity
- deserialize
- get
- hinge
- Huber
- KLD
- KLDivergence
- logcosh
- Loss
- MAE
- MAPE
- MeanAbsoluteError
- MeanAbsolutePercentageError
- MeanSquaredError
- MeanSquaredLogarithmicError
- MSE
- MSLE
- poisson
- serialize
- SparseCategoricalCrossentropy
- sparse_categorical_crossentropy
- SquaredHinge
- squared_hinge
- Accuracy
- AUC
- BinaryAccuracy
- BinaryCrossentropy
- binary_accuracy
- CategoricalAccuracy
- CategoricalCrossentropy
- CategoricalHinge
- categorical_accuracy
- CosineSimilarity
- deserialize
- FalseNegatives
- FalsePositives
- get
- Hinge
- KLDivergence
- LogCoshError
- Mean
- MeanAbsoluteError
- MeanAbsolutePercentageError
- MeanIoU
- MeanRelativeError
- MeanSquaredError
- MeanSquaredLogarithmicError
- MeanTensor
- Metric
- Poisson
- Precision
- Recall
- RootMeanSquaredError
- SensitivityAtSpecificity
- serialize
- SparseCategoricalAccuracy
- SparseCategoricalCrossentropy
- SparseTopKCategoricalAccuracy
- sparse_categorical_accuracy
- sparse_top_k_categorical_accuracy
- SpecificityAtSensitivity
- SquaredHinge
- Sum
- TopKCategoricalAccuracy
- top_k_categorical_accuracy
- TrueNegatives
- TruePositives
- AveragePooling1D
- AveragePooling2D
- AveragePooling3D
- average_pooling1d
- average_pooling2d
- average_pooling3d
- BatchNormalization
- batch_normalization
- conv1d
- conv2d
- Conv2DTranspose
- conv2d_transpose
- conv3d
- Conv3DTranspose
- conv3d_transpose
- dense
- dropout
- flatten
- InputSpec
- Layer
- MaxPooling1D
- MaxPooling2D
- MaxPooling3D
- max_pooling1d
- max_pooling2d
- max_pooling3d
- SeparableConv1D
- SeparableConv2D
- separable_conv1d
- separable_conv2d
- adjoint
- band_part
- cholesky
- cholesky_solve
- cross
- det
- diag
- diag_part
- eigh
- eigvalsh
- expm
- global_norm
- inv
- LinearOperator
- LinearOperatorAdjoint
- LinearOperatorBlockDiag
- LinearOperatorCirculant
- LinearOperatorCirculant2D
- LinearOperatorCirculant3D
- LinearOperatorComposition
- LinearOperatorDiag
- LinearOperatorFullMatrix
- LinearOperatorHouseholder
- LinearOperatorIdentity
- LinearOperatorInversion
- LinearOperatorKronecker
- LinearOperatorLowerTriangular
- LinearOperatorLowRankUpdate
- LinearOperatorScaledIdentity
- LinearOperatorToeplitz
- LinearOperatorZeros
- logdet
- logm
- lstsq
- lu
- matmul
- matrix_rank
- matrix_transpose
- matvec
- normalize
- pinv
- qr
- set_diag
- slogdet
- solve
- sqrtm
- svd
- tensor_diag
- tensor_diag_part
- trace
- triangular_solve
- tridiagonal_matmul
- tridiagonal_solve
- abs
- accumulate_n
- acos
- acosh
- add
- add_n
- angle
- argmax
- argmin
- asin
- asinh
- atan
- atan2
- atanh
- bessel_i0
- bessel_i0e
- bessel_i1
- bessel_i1e
- betainc
- bincount
- ceil
- confusion_matrix
- conj
- cos
- cosh
- count_nonzero
- cumprod
- cumsum
- cumulative_logsumexp
- digamma
- divide
- divide_no_nan
- equal
- erf
- erfc
- exp
- expm1
- floor
- floordiv
- floormod
- greater
- greater_equal
- igamma
- igammac
- imag
- invert_permutation
- in_top_k
- is_finite
- is_inf
- is_nan
- is_non_decreasing
- is_strictly_increasing
- l2_normalize
- lbeta
- less
- less_equal
- lgamma
- log
- log1p
- logical_and
- logical_not
- logical_or
- logical_xor
- log_sigmoid
- maximum
- minimum
- multiply
- multiply_no_nan
- negative
- nextafter
- not_equal
- polygamma
- polyval
- pow
- real
- reciprocal
- reciprocal_no_nan
- reduce_all
- reduce_any
- reduce_euclidean_norm
- reduce_logsumexp
- reduce_max
- reduce_mean
- reduce_min
- reduce_prod
- reduce_std
- reduce_sum
- reduce_variance
- rint
- round
- rsqrt
- scalar_mul
- segment_max
- segment_mean
- segment_min
- segment_prod
- segment_sum
- sigmoid
- sign
- sin
- sinh
- softplus
- sqrt
- square
- squared_difference
- subtract
- tan
- tanh
- top_k
- truediv
- unsorted_segment_max
- unsorted_segment_mean
- unsorted_segment_min
- unsorted_segment_prod
- unsorted_segment_sqrt_n
- unsorted_segment_sum
- xdivy
- xlogy
- zero_fraction
- zeta
- accuracy
- auc
- average_precision_at_k
- false_negatives
- false_negatives_at_thresholds
- false_positives
- false_positives_at_thresholds
- mean
- mean_absolute_error
- mean_cosine_distance
- mean_iou
- mean_per_class_accuracy
- mean_relative_error
- mean_squared_error
- mean_tensor
- percentage_below
- precision
- precision_at_k
- precision_at_thresholds
- precision_at_top_k
- recall
- recall_at_k
- recall_at_thresholds
- recall_at_top_k
- root_mean_squared_error
- sensitivity_at_specificity
- sparse_average_precision_at_k
- sparse_precision_at_k
- specificity_at_sensitivity
- true_negatives
- true_negatives_at_thresholds
- true_positives
- true_positives_at_thresholds
- atrous_conv2d
- atrous_conv2d_transpose
- avg_pool
- avg_pool1d
- avg_pool3d
- avg_pool_v2
- batch_normalization
- batch_norm_with_global_normalization
- bias_add
- bidirectional_dynamic_rnn
- collapse_repeated
- compute_accidental_hits
- compute_average_loss
- conv1d
- conv1d_transpose
- conv2d
- conv2d_backprop_filter
- conv2d_backprop_input
- conv2d_transpose
- conv3d
- conv3d_backprop_filter
- conv3d_transpose
- convolution
- conv_transpose
- crelu
- ctc_beam_search_decoder
- ctc_beam_search_decoder_v2
- ctc_greedy_decoder
- ctc_loss
- ctc_loss_v2
- ctc_unique_labels
- depthwise_conv2d
- depthwise_conv2d_backprop_filter
- depthwise_conv2d_backprop_input
- depthwise_conv2d_native
- depth_to_space
- dilation2d
- dropout
- dynamic_rnn
- elu
- embedding_lookup
- embedding_lookup_sparse
- erosion2d
- fractional_avg_pool
- fractional_max_pool
- fused_batch_norm
- l2_loss
- leaky_relu
- local_response_normalization
- log_poisson_loss
- log_softmax
- max_pool
- max_pool1d
- max_pool2d
- max_pool3d
- max_pool_v2
- 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
- relu_layer
- safe_embedding_lookup_sparse
- sampled_softmax_loss
- scale_regularization_loss
- selu
- separable_conv2d
- sigmoid_cross_entropy_with_logits
- softmax
- softmax_cross_entropy_with_logits
- softmax_cross_entropy_with_logits_v2
- softsign
- space_to_batch
- space_to_depth
- sparse_softmax_cross_entropy_with_logits
- static_bidirectional_rnn
- static_rnn
- static_state_saving_rnn
- sufficient_statistics
- swish
- weighted_cross_entropy_with_logits
- weighted_moments
- with_space_to_batch
- xw_plus_b
- all_candidate_sampler
- categorical
- fixed_unigram_candidate_sampler
- gamma
- get_seed
- learned_unigram_candidate_sampler
- log_uniform_candidate_sampler
- multinomial
- normal
- poisson
- set_random_seed
- shuffle
- stateless_categorical
- stateless_multinomial
- stateless_normal
- stateless_truncated_normal
- stateless_uniform
- truncated_normal
- uniform
- uniform_candidate_sampler
- add
- concat
- cross
- cross_hashed
- expand_dims
- eye
- fill_empty_rows
- from_dense
- mask
- maximum
- merge
- minimum
- placeholder
- reduce_max
- reduce_max_sparse
- reduce_sum
- reduce_sum_sparse
- reorder
- reset_shape
- reshape
- retain
- segment_mean
- segment_sqrt_n
- segment_sum
- slice
- softmax
- SparseConditionalAccumulator
- SparseTensor
- sparse_dense_matmul
- split
- to_dense
- to_indicator
- transpose
- as_string
- bytes_split
- format
- join
- length
- lower
- ngrams
- reduce_join
- regex_full_match
- regex_replace
- split
- strip
- substr
- to_hash_bucket
- to_hash_bucket_fast
- to_hash_bucket_strong
- to_number
- unicode_decode
- unicode_decode_with_offsets
- unicode_encode
- unicode_script
- unicode_split
- unicode_split_with_offsets
- unicode_transcode
- unsorted_segment_join
- upper
- AdadeltaOptimizer
- AdagradDAOptimizer
- AdagradOptimizer
- AdamOptimizer
- assert_global_step
- basic_train_loop
- batch
- batch_join
- BytesList
- Checkpoint
- CheckpointManager
- CheckpointSaverHook
- CheckpointSaverListener
- checkpoints_iterator
- checkpoint_exists
- ChiefSessionCreator
- ClusterDef
- ClusterSpec
- Coordinator
- cosine_decay
- cosine_decay_restarts
- create_global_step
- do_quantize_training_on_graphdef
- Example
- ExponentialMovingAverage
- exponential_decay
- export_meta_graph
- Feature
- FeatureList
- FeatureLists
- Features
- FeedFnHook
- FinalOpsHook
- FloatList
- FtrlOptimizer
- generate_checkpoint_state_proto
- get_checkpoint_mtimes
- get_checkpoint_state
- get_global_step
- get_or_create_global_step
- GlobalStepWaiterHook
- global_step
- GradientDescentOptimizer
- import_meta_graph
- init_from_checkpoint
- input_producer
- Int64List
- inverse_time_decay
- JobDef
- latest_checkpoint
- limit_epochs
- linear_cosine_decay
- list_variables
- load_checkpoint
- load_variable
- LoggingTensorHook
- LooperThread
- maybe_batch
- maybe_batch_join
- maybe_shuffle_batch
- maybe_shuffle_batch_join
- MomentumOptimizer
- MonitoredSession
- MonitoredTrainingSession
- NanLossDuringTrainingError
- NanTensorHook
- natural_exp_decay
- NewCheckpointReader
- noisy_linear_cosine_decay
- Optimizer
- piecewise_constant_decay
- polynomial_decay
- ProfilerHook
- ProximalAdagradOptimizer
- ProximalGradientDescentOptimizer
- range_input_producer
- remove_checkpoint
- replica_device_setter
- RMSPropOptimizer
- Saver
- SaverDef
- Scaffold
- sdca_fprint
- sdca_optimizer
- sdca_shrink_l1
- SecondOrStepTimer
- SequenceExample
- ServerDef
- SessionCreator
- SessionManager
- SessionRunArgs
- SessionRunContext
- SessionRunHook
- SessionRunValues
- shuffle_batch
- shuffle_batch_join
- SingularMonitoredSession
- slice_input_producer
- StepCounterHook
- StopAtStepHook
- string_input_producer
- SummarySaverHook
- summary_iterator
- Supervisor
- SyncReplicasOptimizer
- update_checkpoint_state
- VocabInfo
- warm_start
- WorkerSessionCreator
- AggregationMethod
- argsort
- batch_to_space
- bitcast
- boolean_mask
- broadcast_dynamic_shape
- broadcast_static_shape
- broadcast_to
- case
- clip_by_global_norm
- clip_by_norm
- clip_by_value
- concat
- cond
- constant
- constant_initializer
- control_dependencies
- convert_to_tensor
- CriticalSection
- custom_gradient
- device
- DeviceSpec
- dynamic_partition
- dynamic_stitch
- edit_distance
- einsum
- ensure_shape
- executing_eagerly
- expand_dims
- extract_volume_patches
- eye
- fill
- fingerprint
- foldl
- foldr
- function
- gather
- gather_nd
- get_logger
- get_static_value
- gradients
- GradientTape
- grad_pass_through
- Graph
- group
- guarantee_const
- hessians
- histogram_fixed_width
- histogram_fixed_width_bins
- identity
- identity_n
- IndexedSlices
- IndexedSlicesSpec
- init_scope
- is_tensor
- linspace
- load_library
- load_op_library
- make_ndarray
- make_tensor_proto
- map_fn
- meshgrid
- Module
- name_scope
- nondifferentiable_batch_function
- norm
- no_gradient
- no_op
- numpy_function
- ones
- ones_initializer
- ones_like
- one_hot
- Operation
- OptionalSpec
- pad
- parallel_stack
- py_function
- RaggedTensor
- RaggedTensorSpec
- random_normal_initializer
- random_uniform_initializer
- range
- rank
- realdiv
- recompute_grad
- reduce_all
- RegisterGradient
- register_tensor_conversion_function
- required_space_to_batch_paddings
- reshape
- reverse
- reverse_sequence
- roll
- scan
- scatter_nd
- searchsorted
- sequence_mask
- shape
- shape_n
- size
- slice
- sort
- space_to_batch
- space_to_batch_nd
- SparseTensorSpec
- split
- squeeze
- stack
- stop_gradient
- strided_slice
- switch_case
- Tensor
- TensorArray
- TensorArraySpec
- tensordot
- TensorShape
- TensorSpec
- tensor_scatter_nd_add
- tensor_scatter_nd_sub
- tensor_scatter_nd_update
- tile
- timestamp
- transpose
- truncatediv
- truncatemod
- tuple
- TypeSpec
- UnconnectedGradients
- unique
- unique_with_counts
- unravel_index
- unstack
- Variable
- VariableAggregation
- VariableSynchronization
- variable_creator_scope
- vectorized_map
- where
- while_loop
- zeros
- zeros_initializer
- zeros_like
- add_check_numerics_ops
- add_to_collection
- add_to_collections
- all_variables
- argmax
- argmin
- arg_max
- arg_min
- 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_rank
- assert_rank_at_least
- assert_rank_in
- assert_scalar
- assert_type
- assert_variables_initialized
- assign
- assign_add
- assign_sub
- AttrValue
- batch_gather
- batch_scatter_update
- batch_to_space
- batch_to_space_nd
- bincount
- boolean_mask
- case
- clip_by_average_norm
- colocate_with
- cond
- ConditionalAccumulator
- ConditionalAccumulatorBase
- ConfigProto
- confusion_matrix
- constant
- container
- control_flow_v2_enabled
- convert_to_tensor
- convert_to_tensor_or_indexed_slices
- convert_to_tensor_or_sparse_tensor
- count_nonzero
- count_up_to
- create_partitioned_variables
- decode_csv
- decode_raw
- delete_session_tensor
- depth_to_space
- device
- DeviceSpec
- Dimension
- disable_control_flow_v2
- disable_eager_execution
- disable_resource_variables
- disable_tensor_equality
- disable_v2_behavior
- disable_v2_tensorshape
- enable_control_flow_v2
- enable_eager_execution
- enable_resource_variables
- enable_tensor_equality
- enable_v2_behavior
- enable_v2_tensorshape
- Event
- expand_dims
- extract_image_patches
- FixedLengthRecordReader
- fixed_size_partitioner
- floor_div
- 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_variables
- global_variables_initializer
- GPUOptions
- gradients
- GraphDef
- GraphKeys
- GraphOptions
- hessians
- HistogramProto
- IdentityReader
- initialize_all_tables
- initialize_all_variables
- initialize_local_variables
- initialize_variables
- InteractiveSession
- is_variable_initialized
- LMDBReader
- load_file_system_library
- local_variables
- local_variables_initializer
- LogMessage
- make_template
- MetaGraphDef
- min_max_variable_partitioner
- model_variables
- moving_average_variables
- multinomial
- NameAttrList
- NodeDef
- norm
- no_regularizer
- ones_like
- OptimizerOptions
- op_scope
- pad
- parse_example
- parse_single_example
- placeholder
- placeholder_with_default
- py_func
- quantize_v2
- random_normal_initializer
- random_poisson
- random_uniform_initializer
- ReaderBase
- reduce_all
- reduce_any
- reduce_join
- reduce_logsumexp
- reduce_max
- reduce_mean
- reduce_min
- reduce_prod
- reduce_sum
- report_uninitialized_variables
- reset_default_graph
- resource_variables_enabled
- reverse_sequence
- RunMetadata
- RunOptions
- scalar_mul
- scatter_add
- scatter_div
- scatter_max
- scatter_min
- scatter_mul
- scatter_nd_add
- scatter_nd_sub
- scatter_nd_update
- scatter_sub
- scatter_update
- serialize_many_sparse
- serialize_sparse
- Session
- SessionLog
- setdiff1d
- set_random_seed
- shape
- size
- space_to_batch
- space_to_depth
- SparseConditionalAccumulator
- SparseTensorValue
- sparse_add
- sparse_concat
- sparse_matmul
- sparse_merge
- sparse_placeholder
- sparse_reduce_max
- sparse_reduce_max_sparse
- sparse_reduce_sum
- sparse_reduce_sum_sparse
- sparse_segment_mean
- sparse_segment_sqrt_n
- sparse_segment_sum
- sparse_split
- sparse_to_dense
- squeeze
- string_split
- string_to_hash_bucket
- string_to_number
- substr
- SummaryMetadata
- tables_initializer
- TensorInfo
- TextLineReader
- TFRecordReader
- to_bfloat16
- to_complex128
- to_complex64
- to_double
- to_float
- to_int32
- to_int64
- trainable_variables
- transpose
- truncated_normal_initializer
- tuple
- uniform_unit_scaling_initializer
- Variable
- VariableAggregation
- VariableScope
- variables_initializer
- variable_axis_size_partitioner
- variable_creator_scope
- variable_op_scope
- variable_scope
- verify_tensor_all_finite
- where
- while_loop
- WholeFileReader
- wrap_function
- zeros_like
- adopt_module_key_flags
- ArgumentParser
- ArgumentSerializer
- BaseListParser
- BooleanFlag
- BooleanParser
- CantOpenFlagFileError
- CsvListSerializer
- declare_key_flag
- DEFINE
- DEFINE_alias
- DEFINE_bool
- DEFINE_enum
- DEFINE_enum_class
- DEFINE_flag
- DEFINE_float
- DEFINE_integer
- DEFINE_list
- DEFINE_multi
- DEFINE_multi_enum
- DEFINE_multi_enum_class
- DEFINE_multi_float
- DEFINE_multi_integer
- DEFINE_multi_string
- DEFINE_spaceseplist
- DEFINE_string
- disclaim_key_flags
- doc_to_help
- DuplicateFlagError
- EnumClassFlag
- EnumClassParser
- EnumFlag
- EnumParser
- Error
- Flag
- FlagNameConflictsWithMethodError
- FlagValues
- flag_dict_to_args
- FloatParser
- get_help_width
- IllegalFlagValueError
- IntegerParser
- ListParser
- ListSerializer
- mark_bool_flags_as_mutual_exclusive
- mark_flags_as_mutual_exclusive
- mark_flags_as_required
- mark_flag_as_required
- MultiEnumClassFlag
- MultiFlag
- multi_flags_validator
- register_multi_flags_validator
- register_validator
- text_wrap
- UnparsedFlagAccessError
- UnrecognizedFlagError
- ValidationError
- validator
- WhitespaceSeparatedListParser
- AveragePooling1D
- AveragePooling2D
- AveragePooling3D
- average_pooling1d
- average_pooling2d
- average_pooling3d
- BatchNormalization
- batch_normalization
- conv1d
- conv2d
- Conv2DTranspose
- conv2d_transpose
- conv3d
- Conv3DTranspose
- conv3d_transpose
- dense
- dropout
- flatten
- Layer
- MaxPooling1D
- MaxPooling2D
- MaxPooling3D
- max_pooling1d
- max_pooling2d
- max_pooling3d
- SeparableConv1D
- SeparableConv2D
- separable_conv1d
- separable_conv2d
- accuracy
- auc
- average_precision_at_k
- false_negatives
- false_negatives_at_thresholds
- false_positives
- false_positives_at_thresholds
- mean
- mean_absolute_error
- mean_cosine_distance
- mean_iou
- mean_per_class_accuracy
- mean_relative_error
- mean_squared_error
- mean_tensor
- percentage_below
- precision
- precision_at_k
- precision_at_thresholds
- precision_at_top_k
- recall
- recall_at_k
- recall_at_thresholds
- recall_at_top_k
- root_mean_squared_error
- sensitivity_at_specificity
- sparse_average_precision_at_k
- sparse_precision_at_k
- specificity_at_sensitivity
- true_negatives
- true_negatives_at_thresholds
- true_positives
- true_positives_at_thresholds
- avg_pool
- batch_norm_with_global_normalization
- bidirectional_dynamic_rnn
- conv1d
- conv2d
- conv2d_backprop_filter
- conv2d_backprop_input
- conv2d_transpose
- conv3d
- conv3d_backprop_filter
- conv3d_transpose
- convolution
- crelu
- ctc_beam_search_decoder
- ctc_loss
- depthwise_conv2d
- depthwise_conv2d_native
- dilation2d
- dropout
- dynamic_rnn
- embedding_lookup
- embedding_lookup_sparse
- erosion2d
- fractional_avg_pool
- fractional_max_pool
- fused_batch_norm
- max_pool
- max_pool_with_argmax
- moments
- nce_loss
- pool
- quantized_avg_pool
- quantized_conv2d
- quantized_max_pool
- quantized_relu_x
- raw_rnn
- relu_layer
- safe_embedding_lookup_sparse
- sampled_softmax_loss
- separable_conv2d
- sigmoid_cross_entropy_with_logits
- softmax_cross_entropy_with_logits
- softmax_cross_entropy_with_logits_v2
- sparse_softmax_cross_entropy_with_logits
- static_bidirectional_rnn
- static_rnn
- static_state_saving_rnn
- sufficient_statistics
- weighted_cross_entropy_with_logits
- weighted_moments
- xw_plus_b
- AdadeltaOptimizer
- AdagradDAOptimizer
- AdagradOptimizer
- AdamOptimizer
- add_queue_runner
- assert_global_step
- basic_train_loop
- batch
- batch_join
- Checkpoint
- checkpoint_exists
- ChiefSessionCreator
- cosine_decay
- cosine_decay_restarts
- create_global_step
- do_quantize_training_on_graphdef
- exponential_decay
- export_meta_graph
- FtrlOptimizer
- generate_checkpoint_state_proto
- get_checkpoint_mtimes
- get_global_step
- get_or_create_global_step
- global_step
- GradientDescentOptimizer
- import_meta_graph
- init_from_checkpoint
- input_producer
- inverse_time_decay
- limit_epochs
- linear_cosine_decay
- LooperThread
- maybe_batch
- maybe_batch_join
- maybe_shuffle_batch
- maybe_shuffle_batch_join
- MomentumOptimizer
- MonitoredSession
- MonitoredTrainingSession
- natural_exp_decay
- NewCheckpointReader
- noisy_linear_cosine_decay
- Optimizer
- piecewise_constant
- polynomial_decay
- ProximalAdagradOptimizer
- ProximalGradientDescentOptimizer
- QueueRunner
- range_input_producer
- remove_checkpoint
- replica_device_setter
- RMSPropOptimizer
- Saver
- SaverDef
- Scaffold
- sdca_fprint
- sdca_optimizer
- sdca_shrink_l1
- SessionCreator
- SessionManager
- shuffle_batch
- shuffle_batch_join
- SingularMonitoredSession
- slice_input_producer
- start_queue_runners
- string_input_producer
- summary_iterator
- Supervisor
- SyncReplicasOptimizer
- update_checkpoint_state
- warm_start
- WorkerSessionCreator
- bucket_by_sequence_length
- bytes_produced_stats
- cardinality
- CheckpointInputPipelineHook
- choose_from_datasets
- copy_to_device
- Counter
- CsvDataset
- dense_to_sparse_batch
- DistributeOptions
- enumerate_dataset
- from_variant
- get_next_as_optional
- get_single_element
- get_structure
- group_by_reducer
- group_by_window
- ignore_errors
- latency_stats
- make_batched_features_dataset
- make_csv_dataset
- make_saveable_from_iterator
- MapVectorizationOptions
- map_and_batch
- OptimizationOptions
- Optional
- parallel_interleave
- parse_example_dataset
- prefetch_to_device
- RandomDataset
- Reducer
- rejection_resample
- sample_from_datasets
- scan
- shuffle_and_repeat
- SqlDataset
- StatsAggregator
- StatsOptions
- take_while
- TFRecordWriter
- ThreadingOptions
- to_variant
- unbatch
- unique
- Assert
- assert_all_finite
- 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_shapes
- assert_type
- check_numerics
- get_log_device_placement
- is_numeric_tensor
- set_log_device_placement
- add_metrics
- BaselineClassifier
- BaselineEstimator
- BaselineRegressor
- BestExporter
- BinaryClassHead
- BoostedTreesClassifier
- BoostedTreesEstimator
- BoostedTreesRegressor
- CheckpointSaverHook
- CheckpointSaverListener
- classifier_parse_example_spec
- DNNClassifier
- DNNEstimator
- DNNLinearCombinedClassifier
- DNNLinearCombinedEstimator
- DNNLinearCombinedRegressor
- DNNRegressor
- Estimator
- EstimatorSpec
- EvalSpec
- Exporter
- FeedFnHook
- FinalExporter
- FinalOpsHook
- GlobalStepWaiterHook
- Head
- LatestExporter
- LinearClassifier
- LinearEstimator
- LinearRegressor
- LoggingTensorHook
- LogisticRegressionHead
- ModeKeys
- MultiClassHead
- MultiHead
- MultiLabelHead
- NanLossDuringTrainingError
- NanTensorHook
- PoissonRegressionHead
- ProfilerHook
- RegressionHead
- regressor_parse_example_spec
- RunConfig
- SecondOrStepTimer
- SessionRunArgs
- SessionRunContext
- SessionRunHook
- SessionRunValues
- StepCounterHook
- StopAtStepHook
- SummarySaverHook
- TrainSpec
- train_and_evaluate
- VocabInfo
- WarmStartSettings
- bucketized_column
- categorical_column_with_hash_bucket
- categorical_column_with_identity
- categorical_column_with_vocabulary_file
- categorical_column_with_vocabulary_list
- crossed_column
- embedding_column
- indicator_column
- make_parse_example_spec
- numeric_column
- sequence_categorical_column_with_hash_bucket
- sequence_categorical_column_with_identity
- sequence_categorical_column_with_vocabulary_file
- sequence_categorical_column_with_vocabulary_list
- sequence_numeric_column
- shared_embeddings
- weighted_categorical_column
- adjust_brightness
- adjust_contrast
- adjust_gamma
- adjust_hue
- adjust_jpeg_quality
- adjust_saturation
- central_crop
- combined_non_max_suppression
- convert_image_dtype
- crop_and_resize
- crop_to_bounding_box
- draw_bounding_boxes
- encode_png
- extract_glimpse
- extract_patches
- flip_left_right
- flip_up_down
- grayscale_to_rgb
- hsv_to_rgb
- image_gradients
- non_max_suppression
- non_max_suppression_overlaps
- non_max_suppression_padded
- non_max_suppression_with_scores
- pad_to_bounding_box
- per_image_standardization
- psnr
- random_brightness
- random_contrast
- random_crop
- random_flip_left_right
- random_flip_up_down
- random_hue
- random_jpeg_quality
- random_saturation
- resize
- ResizeMethod
- resize_with_crop_or_pad
- resize_with_pad
- rgb_to_grayscale
- rgb_to_hsv
- rgb_to_yiq
- rgb_to_yuv
- rot90
- sample_distorted_bounding_box
- sobel_edges
- ssim
- ssim_multiscale
- total_variation
- transpose
- yiq_to_rgb
- yuv_to_rgb
- decode_and_crop_jpeg
- decode_base64
- decode_bmp
- decode_compressed
- decode_csv
- decode_gif
- decode_image
- decode_jpeg
- decode_json_example
- decode_png
- decode_proto
- decode_raw
- deserialize_many_sparse
- encode_base64
- encode_jpeg
- encode_proto
- extract_jpeg_shape
- FixedLenFeature
- FixedLenSequenceFeature
- is_jpeg
- matching_files
- match_filenames_once
- parse_example
- parse_sequence_example
- parse_single_example
- parse_single_sequence_example
- parse_tensor
- read_file
- serialize_many_sparse
- serialize_sparse
- serialize_tensor
- SparseFeature
- TFRecordOptions
- TFRecordWriter
- VarLenFeature
- write_file
- write_graph
- abs
- all
- any
- arange
- argmax
- argmin
- backend
- batch_dot
- batch_flatten
- batch_get_value
- batch_normalization
- batch_set_value
- bias_add
- binary_crossentropy
- cast
- cast_to_floatx
- categorical_crossentropy
- clear_session
- clip
- concatenate
- constant
- conv1d
- conv2d
- conv2d_transpose
- conv3d
- cos
- count_params
- ctc_batch_cost
- ctc_decode
- ctc_label_dense_to_sparse
- cumprod
- cumsum
- dot
- dropout
- dtype
- elu
- epsilon
- equal
- eval
- exp
- expand_dims
- eye
- flatten
- floatx
- foldl
- foldr
- function
- gather
- get_uid
- get_value
- gradients
- greater
- greater_equal
- hard_sigmoid
- image_data_format
- int_shape
- in_test_phase
- in_top_k
- in_train_phase
- is_keras_tensor
- is_sparse
- l2_normalize
- learning_phase
- learning_phase_scope
- less
- less_equal
- local_conv1d
- local_conv2d
- log
- manual_variable_initialization
- map_fn
- max
- maximum
- mean
- min
- minimum
- moving_average_update
- name_scope
- ndim
- normalize_batch_in_training
- not_equal
- ones
- ones_like
- one_hot
- permute_dimensions
- placeholder
- pool2d
- pool3d
- pow
- print_tensor
- prod
- random_binomial
- random_normal
- random_normal_variable
- random_uniform
- random_uniform_variable
- relu
- repeat
- repeat_elements
- reset_uids
- reshape
- resize_images
- resize_volumes
- reverse
- rnn
- round
- separable_conv2d
- set_epsilon
- set_floatx
- set_image_data_format
- set_learning_phase
- set_value
- shape
- sigmoid
- sign
- sin
- softmax
- softplus
- softsign
- sparse_categorical_crossentropy
- spatial_2d_padding
- spatial_3d_padding
- sqrt
- square
- squeeze
- stack
- std
- stop_gradient
- sum
- switch
- tanh
- temporal_padding
- tile
- to_dense
- transpose
- truncated_normal
- update
- update_add
- update_sub
- var
- variable
- zeros
- zeros_like
- AbstractRNNCell
- Activation
- ActivityRegularization
- add
- AdditiveAttention
- AlphaDropout
- Attention
- average
- AveragePooling1D
- AveragePooling2D
- AveragePooling3D
- BatchNormalization
- Bidirectional
- concatenate
- Conv1D
- Conv2D
- Conv2DTranspose
- Conv3D
- Conv3DTranspose
- ConvLSTM2D
- Cropping1D
- Cropping2D
- Cropping3D
- Dense
- DenseFeatures
- DepthwiseConv2D
- deserialize
- dot
- Dropout
- ELU
- Embedding
- Flatten
- GaussianDropout
- GaussianNoise
- GlobalAveragePooling1D
- GlobalAveragePooling2D
- GlobalAveragePooling3D
- GlobalMaxPool1D
- GlobalMaxPool2D
- GlobalMaxPool3D
- GRU
- GRUCell
- InputLayer
- InputSpec
- Lambda
- Layer
- LayerNormalization
- LeakyReLU
- LocallyConnected1D
- LocallyConnected2D
- LSTM
- LSTMCell
- Masking
- maximum
- MaxPool1D
- MaxPool2D
- MaxPool3D
- minimum
- multiply
- Permute
- PReLU
- ReLU
- RepeatVector
- Reshape
- RNN
- SeparableConv1D
- SeparableConv2D
- serialize
- SimpleRNN
- SimpleRNNCell
- Softmax
- SpatialDropout1D
- SpatialDropout2D
- SpatialDropout3D
- StackedRNNCells
- subtract
- ThresholdedReLU
- TimeDistributed
- UpSampling1D
- UpSampling2D
- UpSampling3D
- Wrapper
- ZeroPadding1D
- ZeroPadding2D
- ZeroPadding3D
- BinaryCrossentropy
- binary_crossentropy
- CategoricalCrossentropy
- CategoricalHinge
- categorical_crossentropy
- categorical_hinge
- CosineSimilarity
- cosine_similarity
- deserialize
- get
- hinge
- Huber
- KLD
- KLDivergence
- logcosh
- Loss
- MAE
- MAPE
- MeanAbsoluteError
- MeanAbsolutePercentageError
- MeanSquaredError
- MeanSquaredLogarithmicError
- MSE
- MSLE
- poisson
- Reduction
- serialize
- SparseCategoricalCrossentropy
- sparse_categorical_crossentropy
- SquaredHinge
- squared_hinge
- Accuracy
- AUC
- BinaryAccuracy
- BinaryCrossentropy
- binary_accuracy
- CategoricalAccuracy
- CategoricalCrossentropy
- CategoricalHinge
- categorical_accuracy
- CosineSimilarity
- deserialize
- FalseNegatives
- FalsePositives
- get
- Hinge
- KLDivergence
- LogCoshError
- Mean
- MeanAbsoluteError
- MeanAbsolutePercentageError
- MeanIoU
- MeanRelativeError
- MeanSquaredError
- MeanSquaredLogarithmicError
- MeanTensor
- Metric
- Poisson
- Precision
- Recall
- RootMeanSquaredError
- SensitivityAtSpecificity
- serialize
- SparseCategoricalAccuracy
- SparseCategoricalCrossentropy
- SparseTopKCategoricalAccuracy
- sparse_categorical_accuracy
- sparse_top_k_categorical_accuracy
- SpecificityAtSensitivity
- SquaredHinge
- Sum
- TopKCategoricalAccuracy
- top_k_categorical_accuracy
- TrueNegatives
- TruePositives
- adjoint
- band_part
- cholesky
- cholesky_solve
- cross
- det
- diag
- diag_part
- eigh
- eigvalsh
- expm
- global_norm
- inv
- LinearOperator
- LinearOperatorAdjoint
- LinearOperatorBlockDiag
- LinearOperatorCirculant
- LinearOperatorCirculant2D
- LinearOperatorCirculant3D
- LinearOperatorComposition
- LinearOperatorDiag
- LinearOperatorFullMatrix
- LinearOperatorHouseholder
- LinearOperatorIdentity
- LinearOperatorInversion
- LinearOperatorKronecker
- LinearOperatorLowerTriangular
- LinearOperatorLowRankUpdate
- LinearOperatorScaledIdentity
- LinearOperatorToeplitz
- LinearOperatorZeros
- logdet
- logm
- lstsq
- lu
- matmul
- matrix_transpose
- matvec
- normalize
- qr
- set_diag
- slogdet
- solve
- sqrtm
- svd
- tensor_diag
- tensor_diag_part
- trace
- triangular_solve
- tridiagonal_matmul
- tridiagonal_solve
- abs
- accumulate_n
- acos
- acosh
- add
- add_n
- angle
- argmax
- argmin
- asin
- asinh
- atan
- atan2
- atanh
- bessel_i0
- bessel_i0e
- bessel_i1
- bessel_i1e
- betainc
- bincount
- ceil
- confusion_matrix
- conj
- cos
- cosh
- count_nonzero
- cumprod
- cumsum
- cumulative_logsumexp
- digamma
- divide
- divide_no_nan
- equal
- erf
- erfc
- exp
- expm1
- floor
- floordiv
- floormod
- greater
- greater_equal
- igamma
- igammac
- imag
- invert_permutation
- in_top_k
- is_finite
- is_inf
- is_nan
- is_non_decreasing
- is_strictly_increasing
- l2_normalize
- lbeta
- less
- less_equal
- lgamma
- log
- log1p
- logical_and
- logical_not
- logical_or
- logical_xor
- log_sigmoid
- maximum
- minimum
- multiply
- multiply_no_nan
- negative
- nextafter
- not_equal
- polygamma
- polyval
- pow
- real
- reciprocal
- reciprocal_no_nan
- reduce_any
- reduce_euclidean_norm
- reduce_logsumexp
- reduce_max
- reduce_mean
- reduce_min
- reduce_prod
- reduce_std
- reduce_sum
- reduce_variance
- rint
- round
- rsqrt
- scalar_mul
- segment_max
- segment_mean
- segment_min
- segment_prod
- segment_sum
- sigmoid
- sign
- sin
- sinh
- softplus
- sqrt
- square
- squared_difference
- subtract
- tan
- tanh
- top_k
- truediv
- unsorted_segment_max
- unsorted_segment_mean
- unsorted_segment_min
- unsorted_segment_prod
- unsorted_segment_sqrt_n
- unsorted_segment_sum
- xdivy
- xlogy
- zero_fraction
- zeta
- atrous_conv2d
- atrous_conv2d_transpose
- avg_pool
- avg_pool1d
- avg_pool2d
- avg_pool3d
- batch_normalization
- batch_norm_with_global_normalization
- bias_add
- collapse_repeated
- compute_accidental_hits
- compute_average_loss
- conv1d
- conv1d_transpose
- conv2d
- conv2d_transpose
- conv3d
- conv3d_transpose
- convolution
- conv_transpose
- crelu
- ctc_beam_search_decoder
- ctc_greedy_decoder
- ctc_loss
- ctc_unique_labels
- depthwise_conv2d
- depthwise_conv2d_backprop_filter
- depthwise_conv2d_backprop_input
- depth_to_space
- dilation2d
- dropout
- elu
- embedding_lookup
- embedding_lookup_sparse
- erosion2d
- fractional_avg_pool
- fractional_max_pool
- l2_loss
- leaky_relu
- local_response_normalization
- log_poisson_loss
- log_softmax
- max_pool
- max_pool1d
- max_pool2d
- max_pool3d
- max_pool_with_argmax
- moments
- nce_loss
- normalize_moments
- pool
- relu
- relu6
- RNNCellDeviceWrapper
- RNNCellDropoutWrapper
- RNNCellResidualWrapper
- safe_embedding_lookup_sparse
- sampled_softmax_loss
- scale_regularization_loss
- selu
- separable_conv2d
- sigmoid_cross_entropy_with_logits
- softmax
- softmax_cross_entropy_with_logits
- softsign
- space_to_depth
- sparse_softmax_cross_entropy_with_logits
- sufficient_statistics
- weighted_cross_entropy_with_logits
- weighted_moments
- with_space_to_batch
- as_string
- bytes_split
- format
- join
- length
- lower
- ngrams
- reduce_join
- regex_full_match
- regex_replace
- split
- strip
- substr
- to_hash_bucket
- to_hash_bucket_fast
- to_hash_bucket_strong
- to_number
- unicode_decode
- unicode_decode_with_offsets
- unicode_encode
- unicode_script
- unicode_split
- unicode_split_with_offsets
- unicode_transcode
- unsorted_segment_join
- upper