TensorFlow
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TensorFlow
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  • Python v2.3.0
  • tf
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  • tf.audio
    • Overview
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    • Overview
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    • Overview
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      • Overview
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  • tf.bitwise
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  • tf.compat
    • Overview
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    • v1
      • Overview
      • AttrValue
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      • sparse_reduce_sum
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      • sparse_segment_mean
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      • sparse_split
      • sparse_to_dense
      • squeeze
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      • tables_initializer
      • to_bfloat16
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      • to_double
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      • trainable_variables
      • transpose
      • truncated_normal_initializer
      • tuple
      • uniform_unit_scaling_initializer
      • variable_axis_size_partitioner
      • variable_creator_scope
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      • variables_initializer
      • verify_tensor_all_finite
      • where
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      • zeros_like
      • app
        • Overview
        • run
      • audio
        • Overview
      • autograph
        • Overview
        • to_code
        • to_graph
        • experimental
          • Overview
      • bitwise
        • Overview
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        • Overview
      • config
        • Overview
        • experimental
          • Overview
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          • Overview
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          • Overview
      • data
        • Overview
        • Dataset
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          • Overview
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          • service
            • Overview
      • debugging
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          • Overview
      • distribute
        • Overview
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          • Overview
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          • Overview
          • CentralStorageStrategy
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      • distributions
        • Overview
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      • dtypes
        • Overview
      • errors
        • Overview
        • error_code_from_exception_type
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      • estimator
        • Overview
        • BaselineClassifier
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        • DNNLinearCombinedEstimator
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        • DNNRegressor
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        • LinearRegressor
        • classifier_parse_example_spec
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        • experimental
          • Overview
          • KMeans
          • dnn_logit_fn_builder
          • linear_logit_fn_builder
        • export
          • Overview
        • inputs
          • Overview
          • numpy_input_fn
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        • tpu
          • Overview
          • InputPipelineConfig
          • RunConfig
          • TPUConfig
          • TPUEstimator
          • TPUEstimatorSpec
          • experimental
            • Overview
            • EmbeddingConfigSpec
      • experimental
        • Overview
        • output_all_intermediates
      • feature_column
        • Overview
        • categorical_column_with_vocabulary_file
        • input_layer
        • linear_model
        • make_parse_example_spec
        • shared_embedding_columns
      • flags
        • Overview
        • ArgumentParser
        • ArgumentSerializer
        • BaseListParser
        • BooleanFlag
        • BooleanParser
        • CantOpenFlagFileError
        • CsvListSerializer
        • DEFINE
        • DEFINE_alias
        • DEFINE_bool
        • DEFINE_enum
        • DEFINE_enum_class
        • DEFINE_flag
        • DEFINE_float
        • DEFINE_integer
        • DEFINE_list
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        • DEFINE_multi_enum
        • DEFINE_multi_enum_class
        • DEFINE_multi_float
        • DEFINE_multi_integer
        • DEFINE_multi_string
        • DEFINE_spaceseplist
        • DEFINE_string
        • DuplicateFlagError
        • EnumClassFlag
        • EnumClassParser
        • EnumFlag
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        • Error
        • FLAGS
        • Flag
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        • FloatParser
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        • IntegerParser
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        • ListSerializer
        • MultiEnumClassFlag
        • MultiFlag
        • UnparsedFlagAccessError
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        • ValidationError
        • WhitespaceSeparatedListParser
        • adopt_module_key_flags
        • declare_key_flag
        • disclaim_key_flags
        • doc_to_help
        • flag_dict_to_args
        • get_help_width
        • mark_bool_flags_as_mutual_exclusive
        • mark_flag_as_required
        • mark_flags_as_mutual_exclusive
        • mark_flags_as_required
        • multi_flags_validator
        • register_multi_flags_validator
        • register_validator
        • text_wrap
        • validator
        • tf_decorator
          • Overview
          • TFDecorator
          • make_decorator
          • rewrap
          • unwrap
          • tf_stack
            • Overview
            • CurrentModuleFilter
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            • StackTraceFilter
            • StackTraceMapper
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            • extract_stack
      • gfile
        • Overview
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      • graph_util
        • Overview
        • convert_variables_to_constants
        • extract_sub_graph
        • must_run_on_cpu
        • remove_training_nodes
        • tensor_shape_from_node_def_name
      • image
        • Overview
        • ResizeMethod
        • crop_and_resize
        • draw_bounding_boxes
        • extract_glimpse
        • resize
        • resize_area
        • resize_bicubic
        • resize_bilinear
        • resize_image_with_pad
        • resize_nearest_neighbor
        • sample_distorted_bounding_box
      • initializers
        • Overview
        • he_normal
        • he_uniform
        • lecun_normal
        • lecun_uniform
      • io
        • Overview
        • TFRecordCompressionType
        • tf_record_iterator
        • gfile
          • Overview
      • keras
        • Overview
        • activations
          • Overview
        • applications
          • Overview
          • densenet
            • Overview
          • efficientnet
            • Overview
          • imagenet_utils
            • Overview
          • inception_resnet_v2
            • Overview
          • inception_v3
            • Overview
          • mobilenet
            • Overview
          • mobilenet_v2
            • Overview
          • mobilenet_v3
            • Overview
          • nasnet
            • Overview
          • resnet
            • Overview
          • resnet50
            • Overview
          • resnet_v2
            • Overview
          • vgg16
            • Overview
          • vgg19
            • Overview
          • xception
            • Overview
        • backend
          • Overview
          • get_session
          • name_scope
          • set_session
        • callbacks
          • Overview
          • TensorBoard
        • constraints
          • Overview
        • datasets
          • Overview
          • boston_housing
            • Overview
          • cifar10
            • Overview
          • cifar100
            • Overview
          • fashion_mnist
            • Overview
          • imdb
            • Overview
          • mnist
            • Overview
          • reuters
            • Overview
        • estimator
          • Overview
          • model_to_estimator
        • experimental
          • Overview
          • export_saved_model
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        • initializers
          • Overview
          • Constant
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          • Ones
          • Orthogonal
          • RandomNormal
          • RandomUniform
          • TruncatedNormal
          • VarianceScaling
          • Zeros
          • glorot_normal
          • glorot_uniform
          • he_normal
          • he_uniform
          • lecun_normal
          • lecun_uniform
        • layers
          • Overview
          • BatchNormalization
          • CuDNNGRU
          • CuDNNLSTM
          • DenseFeatures
          • GRU
          • GRUCell
          • LSTM
          • LSTMCell
          • disable_v2_dtype_behavior
          • enable_v2_dtype_behavior
          • experimental
            • Overview
            • preprocessing
              • Overview
              • CategoryEncoding
              • IntegerLookup
              • Normalization
              • StringLookup
              • TextVectorization
        • losses
          • Overview
        • metrics
          • Overview
        • mixed_precision
          • Overview
          • experimental
            • Overview
        • models
          • Overview
        • optimizers
          • Overview
          • schedules
            • Overview
        • preprocessing
          • Overview
          • image
            • Overview
          • sequence
            • Overview
          • text
            • Overview
        • regularizers
          • Overview
        • utils
          • Overview
        • wrappers
          • Overview
          • scikit_learn
            • Overview
      • layers
        • Overview
        • AveragePooling1D
        • AveragePooling2D
        • AveragePooling3D
        • BatchNormalization
        • Conv1D
        • Conv2D
        • Conv2DTranspose
        • Conv3D
        • Conv3DTranspose
        • Dense
        • Dropout
        • Flatten
        • Layer
        • MaxPooling1D
        • MaxPooling2D
        • MaxPooling3D
        • SeparableConv1D
        • SeparableConv2D
        • average_pooling1d
        • average_pooling2d
        • average_pooling3d
        • batch_normalization
        • conv1d
        • conv2d
        • conv2d_transpose
        • conv3d
        • conv3d_transpose
        • dense
        • dropout
        • flatten
        • max_pooling1d
        • max_pooling2d
        • max_pooling3d
        • separable_conv1d
        • separable_conv2d
        • experimental
          • Overview
          • keras_style_scope
          • set_keras_style
      • linalg
        • Overview
        • l2_normalize
        • experimental
          • Overview
      • lite
        • Overview
        • OpHint
        • OpHint.OpHintArgumentTracker
        • TFLiteConverter
        • TocoConverter
        • toco_convert
        • constants
          • Overview
        • experimental
          • Overview
          • convert_op_hints_to_stubs
          • get_potentially_supported_ops
          • nn
            • Overview
            • TFLiteLSTMCell
            • TfLiteRNNCell
            • dynamic_rnn
      • logging
        • Overview
        • TaskLevelStatusMessage
        • debug
        • error
        • fatal
        • flush
        • get_verbosity
        • info
        • log
        • log_every_n
        • log_first_n
        • log_if
        • set_verbosity
        • vlog
        • warn
        • warning
      • lookup
        • Overview
        • StaticHashTable
        • StaticVocabularyTable
        • experimental
          • Overview
      • losses
        • Overview
        • Reduction
        • absolute_difference
        • add_loss
        • compute_weighted_loss
        • cosine_distance
        • get_losses
        • get_regularization_loss
        • get_regularization_losses
        • get_total_loss
        • hinge_loss
        • huber_loss
        • log_loss
        • mean_pairwise_squared_error
        • mean_squared_error
        • sigmoid_cross_entropy
        • softmax_cross_entropy
        • sparse_softmax_cross_entropy
      • manip
        • Overview
      • math
        • Overview
        • in_top_k
        • log_softmax
        • softmax
        • special
          • Overview
      • metrics
        • Overview
        • 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
      • mixed_precision
        • Overview
        • MixedPrecisionLossScaleOptimizer
        • disable_mixed_precision_graph_rewrite
        • enable_mixed_precision_graph_rewrite
        • experimental
          • Overview
      • mlir
        • Overview
        • experimental
          • Overview
      • nest
        • Overview
      • nn
        • Overview
        • avg_pool
        • batch_norm_with_global_normalization
        • bidirectional_dynamic_rnn
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  • tf.config
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  • tf.graph_util
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  • tf.io
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        • Overview
        • decode_predictions
        • preprocess_input
      • inception_v3
        • Overview
        • decode_predictions
        • preprocess_input
      • mobilenet
        • Overview
        • decode_predictions
        • preprocess_input
      • mobilenet_v2
        • Overview
        • decode_predictions
        • preprocess_input
      • mobilenet_v3
        • Overview
        • decode_predictions
        • preprocess_input
      • nasnet
        • Overview
        • decode_predictions
        • preprocess_input
      • resnet
        • Overview
        • decode_predictions
        • preprocess_input
      • resnet50
        • Overview
      • resnet_v2
        • Overview
        • decode_predictions
        • preprocess_input
      • vgg16
        • Overview
        • decode_predictions
        • preprocess_input
      • vgg19
        • Overview
        • decode_predictions
        • preprocess_input
      • xception
        • Overview
        • decode_predictions
        • preprocess_input
    • backend
      • Overview
      • abs
      • all
      • any
      • arange
      • argmax
      • argmin
      • backend
      • batch_dot
      • batch_flatten
      • batch_get_value
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      • binary_crossentropy
      • cast
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      • categorical_crossentropy
      • clear_session
      • clip
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      • constant
      • conv1d
      • conv2d
      • conv2d_transpose
      • conv3d
      • cos
      • count_params
      • ctc_batch_cost
      • ctc_decode
      • ctc_label_dense_to_sparse
      • cumprod
      • cumsum
      • depthwise_conv2d
      • dot
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      • dtype
      • elu
      • epsilon
      • equal
      • eval
      • exp
      • expand_dims
      • eye
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      • foldl
      • foldr
      • function
      • gather
      • get_uid
      • get_value
      • gradients
      • greater
      • greater_equal
      • hard_sigmoid
      • image_data_format
      • in_test_phase
      • in_top_k
      • in_train_phase
      • int_shape
      • is_keras_tensor
      • is_sparse
      • l2_normalize
      • learning_phase
      • learning_phase_scope
      • less
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      • 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
      • one_hot
      • ones
      • ones_like
      • permute_dimensions
      • placeholder
      • pool2d
      • pool3d
      • pow
      • print_tensor
      • prod
      • random_bernoulli
      • 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
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      • var
      • variable
      • zeros
      • zeros_like
    • callbacks
      • Overview
      • BaseLogger
      • CSVLogger
      • Callback
      • CallbackList
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      • TerminateOnNaN
      • experimental
        • Overview
        • BackupAndRestore
    • constraints
      • Overview
      • Constraint
      • MaxNorm
      • MinMaxNorm
      • NonNeg
      • RadialConstraint
      • UnitNorm
      • deserialize
      • get
      • serialize
    • datasets
      • Overview
      • boston_housing
        • Overview
        • load_data
      • cifar10
        • Overview
        • load_data
      • cifar100
        • Overview
        • load_data
      • fashion_mnist
        • Overview
        • load_data
      • imdb
        • Overview
        • get_word_index
        • load_data
      • mnist
        • Overview
        • load_data
      • reuters
        • Overview
        • get_word_index
        • load_data
    • estimator
      • Overview
      • model_to_estimator
    • experimental
      • Overview
      • CosineDecay
      • CosineDecayRestarts
      • LinearCosineDecay
      • LinearModel
      • NoisyLinearCosineDecay
      • PeepholeLSTMCell
      • SequenceFeatures
      • WideDeepModel
      • terminate_keras_multiprocessing_pools
    • initializers
      • Overview
      • Constant
      • GlorotNormal
      • GlorotUniform
      • HeNormal
      • HeUniform
      • Identity
      • Initializer
      • LecunNormal
      • LecunUniform
      • Ones
      • Orthogonal
      • RandomNormal
      • RandomUniform
      • TruncatedNormal
      • VarianceScaling
      • Zeros
      • deserialize
      • get
      • serialize
    • layers
      • Overview
      • AbstractRNNCell
      • Activation
      • ActivityRegularization
      • Add
      • AdditiveAttention
      • AlphaDropout
      • Attention
      • Average
      • AveragePooling1D
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      • AveragePooling3D
      • BatchNormalization
      • Bidirectional
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      • Conv1D
      • Conv1DTranspose
      • Conv2D
      • Conv2DTranspose
      • Conv3D
      • Conv3DTranspose
      • ConvLSTM2D
      • Cropping1D
      • Cropping2D
      • Cropping3D
      • Dense
      • DenseFeatures
      • DepthwiseConv2D
      • Dot
      • Dropout
      • ELU
      • Embedding
      • Flatten
      • GRU
      • GRUCell
      • GaussianDropout
      • GaussianNoise
      • GlobalAveragePooling1D
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      • GlobalAveragePooling3D
      • GlobalMaxPool1D
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      • GlobalMaxPool3D
      • InputLayer
      • InputSpec
      • LSTM
      • LSTMCell
      • Lambda
      • Layer
      • LayerNormalization
      • LeakyReLU
      • LocallyConnected1D
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      • Masking
      • MaxPool1D
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      • Maximum
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      • MultiHeadAttention
      • Multiply
      • PReLU
      • Permute
      • RNN
      • ReLU
      • RepeatVector
      • Reshape
      • SeparableConv1D
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      • SimpleRNN
      • SimpleRNNCell
      • Softmax
      • SpatialDropout1D
      • SpatialDropout2D
      • SpatialDropout3D
      • StackedRNNCells
      • Subtract
      • ThresholdedReLU
      • TimeDistributed
      • UpSampling1D
      • UpSampling2D
      • UpSampling3D
      • Wrapper
      • ZeroPadding1D
      • ZeroPadding2D
      • ZeroPadding3D
      • add
      • average
      • concatenate
      • deserialize
      • dot
      • maximum
      • minimum
      • multiply
      • serialize
      • subtract
      • experimental
        • Overview
        • EinsumDense
        • RandomFourierFeatures
        • SyncBatchNormalization
        • preprocessing
          • Overview
          • CategoryCrossing
          • CategoryEncoding
          • CenterCrop
          • Discretization
          • Discretization.DiscretizingCombiner
          • Hashing
          • IntegerLookup
          • Normalization
          • PreprocessingLayer
          • RandomContrast
          • RandomCrop
          • RandomFlip
          • RandomHeight
          • RandomRotation
          • RandomTranslation
          • RandomWidth
          • RandomZoom
          • Rescaling
          • Resizing
          • StringLookup
          • TextVectorization
    • losses
      • Overview
      • BinaryCrossentropy
      • CategoricalCrossentropy
      • CategoricalHinge
      • CosineSimilarity
      • Hinge
      • Huber
      • KLD
      • KLDivergence
      • LogCosh
      • Loss
      • MAE
      • MAPE
      • MSE
      • MSLE
      • MeanAbsoluteError
      • MeanAbsolutePercentageError
      • MeanSquaredError
      • MeanSquaredLogarithmicError
      • Poisson
      • Reduction
      • SparseCategoricalCrossentropy
      • SquaredHinge
      • binary_crossentropy
      • categorical_crossentropy
      • categorical_hinge
      • cosine_similarity
      • deserialize
      • get
      • hinge
      • huber
      • log_cosh
      • poisson
      • serialize
      • sparse_categorical_crossentropy
      • squared_hinge
    • metrics
      • Overview
      • AUC
      • Accuracy
      • BinaryAccuracy
      • BinaryCrossentropy
      • CategoricalAccuracy
      • CategoricalCrossentropy
      • CategoricalHinge
      • CosineSimilarity
      • FalseNegatives
      • FalsePositives
      • Hinge
      • KLDivergence
      • LogCoshError
      • Mean
      • MeanAbsoluteError
      • MeanAbsolutePercentageError
      • MeanIoU
      • MeanRelativeError
      • MeanSquaredError
      • MeanSquaredLogarithmicError
      • MeanTensor
      • Metric
      • Poisson
      • Precision
      • PrecisionAtRecall
      • Recall
      • RecallAtPrecision
      • RootMeanSquaredError
      • SensitivityAtSpecificity
      • SparseCategoricalAccuracy
      • SparseCategoricalCrossentropy
      • SparseTopKCategoricalAccuracy
      • SpecificityAtSensitivity
      • SquaredHinge
      • Sum
      • TopKCategoricalAccuracy
      • TrueNegatives
      • TruePositives
      • binary_accuracy
      • categorical_accuracy
      • deserialize
      • get
      • serialize
      • sparse_categorical_accuracy
      • sparse_top_k_categorical_accuracy
      • top_k_categorical_accuracy
    • mixed_precision
      • Overview
      • LossScaleOptimizer
      • Policy
      • global_policy
      • set_global_policy
      • experimental
        • Overview
        • LossScaleOptimizer
        • Policy
        • get_layer_policy
        • global_policy
        • set_policy
    • models
      • Overview
      • clone_model
      • load_model
      • model_from_config
      • model_from_json
      • model_from_yaml
      • save_model
    • optimizers
      • Overview
      • Adadelta
      • Adagrad
      • Adam
      • Adamax
      • Ftrl
      • Nadam
      • Optimizer
      • RMSprop
      • SGD
      • deserialize
      • get
      • serialize
      • schedules
        • Overview
        • ExponentialDecay
        • InverseTimeDecay
        • LearningRateSchedule
        • PiecewiseConstantDecay
        • PolynomialDecay
        • deserialize
        • serialize
    • preprocessing
      • Overview
      • image_dataset_from_directory
      • text_dataset_from_directory
      • timeseries_dataset_from_array
      • image
        • Overview
        • DirectoryIterator
        • ImageDataGenerator
        • Iterator
        • NumpyArrayIterator
        • apply_affine_transform
        • apply_brightness_shift
        • apply_channel_shift
        • array_to_img
        • img_to_array
        • load_img
        • random_brightness
        • random_channel_shift
        • random_rotation
        • random_shear
        • random_shift
        • random_zoom
        • save_img
        • smart_resize
      • sequence
        • Overview
        • TimeseriesGenerator
        • make_sampling_table
        • pad_sequences
        • skipgrams
      • text
        • Overview
        • Tokenizer
        • hashing_trick
        • one_hot
        • text_to_word_sequence
        • tokenizer_from_json
    • regularizers
      • Overview
      • L1
      • L1L2
      • L2
      • Regularizer
      • deserialize
      • get
      • l1_l2
      • serialize
    • utils
      • Overview
      • CustomObjectScope
      • GeneratorEnqueuer
      • HDF5Matrix
      • OrderedEnqueuer
      • Progbar
      • Sequence
      • SequenceEnqueuer
      • convert_all_kernels_in_model
      • deserialize_keras_object
      • get_custom_objects
      • get_file
      • get_registered_name
      • get_registered_object
      • get_source_inputs
      • model_to_dot
      • multi_gpu_model
      • normalize
      • pack_x_y_sample_weight
      • plot_model
      • register_keras_serializable
      • serialize_keras_object
      • to_categorical
      • unpack_x_y_sample_weight
    • wrappers
      • Overview
      • scikit_learn
        • Overview
        • KerasClassifier
        • KerasRegressor
  • tf.linalg
    • Overview
    • LinearOperator
    • LinearOperatorAdjoint
    • LinearOperatorBlockDiag
    • LinearOperatorBlockLowerTriangular
    • LinearOperatorCirculant
    • LinearOperatorCirculant2D
    • LinearOperatorCirculant3D
    • LinearOperatorComposition
    • LinearOperatorDiag
    • LinearOperatorFullMatrix
    • LinearOperatorHouseholder
    • LinearOperatorIdentity
    • LinearOperatorInversion
    • LinearOperatorKronecker
    • LinearOperatorLowRankUpdate
    • LinearOperatorLowerTriangular
    • LinearOperatorPermutation
    • LinearOperatorScaledIdentity
    • LinearOperatorToeplitz
    • LinearOperatorTridiag
    • LinearOperatorZeros
    • adjoint
    • band_part
    • banded_triangular_solve
    • cholesky
    • cholesky_solve
    • cross
    • det
    • diag
    • diag_part
    • eig
    • eigh
    • eigvals
    • eigvalsh
    • expm
    • global_norm
    • inv
    • logdet
    • logm
    • lstsq
    • lu
    • lu_matrix_inverse
    • lu_reconstruct
    • lu_solve
    • 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
    • experimental
      • Overview
      • conjugate_gradient
  • tf.lite
    • Overview
    • Interpreter
    • OpsSet
    • Optimize
    • RepresentativeDataset
    • TFLiteConverter
    • TargetSpec
    • experimental
      • Overview
      • load_delegate
  • tf.lookup
    • Overview
    • KeyValueTensorInitializer
    • StaticHashTable
    • StaticVocabularyTable
    • TextFileIndex
    • TextFileInitializer
    • experimental
      • Overview
      • DatasetInitializer
      • DenseHashTable
  • tf.math
    • Overview
    • 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
    • erfcinv
    • erfinv
    • exp
    • expm1
    • floor
    • floordiv
    • floormod
    • greater
    • greater_equal
    • igamma
    • igammac
    • imag
    • in_top_k
    • invert_permutation
    • is_finite
    • is_inf
    • is_nan
    • is_non_decreasing
    • is_strictly_increasing
    • l2_normalize
    • lbeta
    • less
    • less_equal
    • lgamma
    • log
    • log1p
    • log_sigmoid
    • logical_and
    • logical_not
    • logical_or
    • logical_xor
    • maximum
    • minimum
    • multiply
    • multiply_no_nan
    • ndtri
    • 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
    • sobol_sample
    • 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
    • xlog1py
    • xlogy
    • zero_fraction
    • zeta
    • special
      • Overview
      • bessel_j0
      • bessel_j1
      • bessel_k0
      • bessel_k0e
      • bessel_k1
      • bessel_k1e
      • bessel_y0
      • bessel_y1
      • dawsn
      • expint
      • fresnel_cos
      • fresnel_sin
      • spence
  • tf.mixed_precision
    • Overview
    • experimental
      • Overview
      • DynamicLossScale
      • FixedLossScale
      • LossScale
  • tf.mlir
    • Overview
    • experimental
      • Overview
      • convert_function
      • convert_graph_def
  • tf.nest
    • Overview
    • assert_same_structure
    • flatten
    • is_nested
    • map_structure
    • pack_sequence_as
  • tf.nn
    • Overview
    • RNNCellDeviceWrapper
    • RNNCellDropoutWrapper
    • RNNCellResidualWrapper
    • atrous_conv2d
    • atrous_conv2d_transpose
    • avg_pool
    • avg_pool1d
    • avg_pool2d
    • avg_pool3d
    • batch_norm_with_global_normalization
    • batch_normalization
    • bias_add
    • collapse_repeated
    • compute_accidental_hits
    • compute_average_loss
    • conv1d
    • conv1d_transpose
    • conv2d
    • conv2d_transpose
    • conv3d
    • conv3d_transpose
    • conv_transpose
    • convolution
    • crelu
    • ctc_beam_search_decoder
    • ctc_greedy_decoder
    • ctc_loss
    • ctc_unique_labels
    • depth_to_space
    • depthwise_conv2d
    • depthwise_conv2d_backprop_filter
    • depthwise_conv2d_backprop_input
    • dilation2d
    • dropout
    • elu
    • embedding_lookup
    • embedding_lookup_sparse
    • erosion2d
    • fractional_avg_pool
    • fractional_max_pool
    • gelu
    • isotonic_regression
    • 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
    • safe_embedding_lookup_sparse
    • sampled_softmax_loss
    • scale_regularization_loss
    • selu
    • separable_conv2d
    • sigmoid_cross_entropy_with_logits
    • silu
    • softmax
    • softmax_cross_entropy_with_logits
    • softsign
    • space_to_depth
    • sparse_softmax_cross_entropy_with_logits
    • sufficient_statistics
    • swish
    • weighted_cross_entropy_with_logits
    • weighted_moments
    • with_space_to_batch
  • tf.profiler
    • Overview
    • experimental
      • Overview
      • Profile
      • ProfilerOptions
      • Trace
      • start
      • stop
      • client
        • Overview
        • monitor
        • trace
      • server
        • Overview
        • start
  • tf.quantization
    • Overview
    • dequantize
    • 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
    • quantize
    • quantize_and_dequantize
    • quantize_and_dequantize_v2
    • quantized_concat
  • tf.queue
    • Overview
    • FIFOQueue
    • PaddingFIFOQueue
    • PriorityQueue
    • QueueBase
    • RandomShuffleQueue
  • tf.ragged
    • Overview
    • boolean_mask
    • constant
    • cross
    • cross_hashed
    • map_flat_values
    • range
    • row_splits_to_segment_ids
    • segment_ids_to_row_splits
    • stack
    • stack_dynamic_partitions
  • tf.random
    • Overview
    • Algorithm
    • Generator
    • all_candidate_sampler
    • categorical
    • create_rng_state
    • fixed_unigram_candidate_sampler
    • gamma
    • get_global_generator
    • learned_unigram_candidate_sampler
    • log_uniform_candidate_sampler
    • normal
    • poisson
    • set_global_generator
    • set_seed
    • shuffle
    • stateless_binomial
    • stateless_categorical
    • stateless_gamma
    • stateless_normal
    • stateless_parameterized_truncated_normal
    • stateless_poisson
    • stateless_truncated_normal
    • stateless_uniform
    • truncated_normal
    • uniform
    • uniform_candidate_sampler
    • experimental
      • Overview
      • stateless_fold_in
      • stateless_split
  • tf.raw_ops
    • Overview
    • Abort
    • Abs
    • AccumulateNV2
    • AccumulatorApplyGradient
    • AccumulatorNumAccumulated
    • AccumulatorSetGlobalStep
    • AccumulatorTakeGradient
    • Acos
    • Acosh
    • Add
    • AddManySparseToTensorsMap
    • AddN
    • AddSparseToTensorsMap
    • AddV2
    • AdjustContrast
    • AdjustContrastv2
    • AdjustHue
    • AdjustSaturation
    • All
    • AllCandidateSampler
    • AllToAll
    • Angle
    • AnonymousIterator
    • AnonymousIteratorV2
    • AnonymousMemoryCache
    • AnonymousMultiDeviceIterator
    • AnonymousRandomSeedGenerator
    • AnonymousSeedGenerator
    • Any
    • ApplyAdaMax
    • ApplyAdadelta
    • ApplyAdagrad
    • ApplyAdagradDA
    • ApplyAdagradV2
    • ApplyAdam
    • ApplyAddSign
    • ApplyCenteredRMSProp
    • ApplyFtrl
    • ApplyFtrlV2
    • ApplyGradientDescent
    • ApplyMomentum
    • ApplyPowerSign
    • ApplyProximalAdagrad
    • ApplyProximalGradientDescent
    • ApplyRMSProp
    • ApproximateEqual
    • ArgMax
    • ArgMin
    • AsString
    • Asin
    • Asinh
    • Assert
    • AssertCardinalityDataset
    • AssertNextDataset
    • Assign
    • AssignAdd
    • AssignAddVariableOp
    • AssignSub
    • AssignSubVariableOp
    • AssignVariableOp
    • Atan
    • Atan2
    • Atanh
    • AudioSpectrogram
    • AudioSummary
    • AudioSummaryV2
    • AutoShardDataset
    • AvgPool
    • AvgPool3D
    • AvgPool3DGrad
    • AvgPoolGrad
    • BandedTriangularSolve
    • Barrier
    • BarrierClose
    • BarrierIncompleteSize
    • BarrierInsertMany
    • BarrierReadySize
    • BarrierTakeMany
    • Batch
    • BatchCholesky
    • BatchCholeskyGrad
    • BatchDataset
    • BatchDatasetV2
    • BatchFFT
    • BatchFFT2D
    • BatchFFT3D
    • BatchFunction
    • BatchIFFT
    • BatchIFFT2D
    • BatchIFFT3D
    • BatchMatMul
    • BatchMatMulV2
    • BatchMatrixBandPart
    • BatchMatrixDeterminant
    • BatchMatrixDiag
    • BatchMatrixDiagPart
    • BatchMatrixInverse
    • BatchMatrixSetDiag
    • BatchMatrixSolve
    • BatchMatrixSolveLs
    • BatchMatrixTriangularSolve
    • BatchNormWithGlobalNormalization
    • BatchNormWithGlobalNormalizationGrad
    • BatchSelfAdjointEig
    • BatchSelfAdjointEigV2
    • BatchSvd
    • BatchToSpace
    • BatchToSpaceND
    • BesselI0
    • BesselI0e
    • BesselI1
    • BesselI1e
    • BesselJ0
    • BesselJ1
    • BesselK0
    • BesselK0e
    • BesselK1
    • BesselK1e
    • BesselY0
    • BesselY1
    • Betainc
    • BiasAdd
    • BiasAddGrad
    • BiasAddV1
    • Bincount
    • Bitcast
    • BitwiseAnd
    • BitwiseOr
    • BitwiseXor
    • BlockLSTM
    • BlockLSTMGrad
    • BlockLSTMGradV2
    • BlockLSTMV2
    • BoostedTreesAggregateStats
    • BoostedTreesBucketize
    • BoostedTreesCalculateBestFeatureSplit
    • BoostedTreesCalculateBestFeatureSplitV2
    • BoostedTreesCalculateBestGainsPerFeature
    • BoostedTreesCenterBias
    • BoostedTreesCreateEnsemble
    • BoostedTreesCreateQuantileStreamResource
    • BoostedTreesDeserializeEnsemble
    • BoostedTreesEnsembleResourceHandleOp
    • BoostedTreesExampleDebugOutputs
    • BoostedTreesFlushQuantileSummaries
    • BoostedTreesGetEnsembleStates
    • BoostedTreesMakeQuantileSummaries
    • BoostedTreesMakeStatsSummary
    • BoostedTreesPredict
    • BoostedTreesQuantileStreamResourceAddSummaries
    • BoostedTreesQuantileStreamResourceDeserialize
    • BoostedTreesQuantileStreamResourceFlush
    • BoostedTreesQuantileStreamResourceGetBucketBoundaries
    • BoostedTreesQuantileStreamResourceHandleOp
    • BoostedTreesSerializeEnsemble
    • BoostedTreesSparseAggregateStats
    • BoostedTreesSparseCalculateBestFeatureSplit
    • BoostedTreesTrainingPredict
    • BoostedTreesUpdateEnsemble
    • BoostedTreesUpdateEnsembleV2
    • BroadcastArgs
    • BroadcastGradientArgs
    • BroadcastTo
    • Bucketize
    • BytesProducedStatsDataset
    • CSRSparseMatrixComponents
    • CSRSparseMatrixToDense
    • CSRSparseMatrixToSparseTensor
    • CSVDataset
    • CSVDatasetV2
    • CTCBeamSearchDecoder
    • CTCGreedyDecoder
    • CTCLoss
    • CTCLossV2
    • CacheDataset
    • CacheDatasetV2
    • Case
    • Cast
    • Ceil
    • CheckNumerics
    • CheckNumericsV2
    • Cholesky
    • CholeskyGrad
    • ChooseFastestBranchDataset
    • ChooseFastestDataset
    • ClipByValue
    • CloseSummaryWriter
    • CollectiveBcastRecv
    • CollectiveBcastSend
    • CollectiveGather
    • CollectiveGatherV2
    • CollectivePermute
    • CollectiveReduce
    • CollectiveReduceV2
    • CombinedNonMaxSuppression
    • CompareAndBitpack
    • Complex
    • ComplexAbs
    • CompressElement
    • ComputeAccidentalHits
    • ComputeBatchSize
    • Concat
    • ConcatOffset
    • ConcatV2
    • ConcatenateDataset
    • ConditionalAccumulator
    • ConfigureDistributedTPU
    • ConfigureTPUEmbedding
    • Conj
    • ConjugateTranspose
    • Const
    • ConsumeMutexLock
    • ControlTrigger
    • Conv2D
    • Conv2DBackpropFilter
    • Conv2DBackpropInput
    • Conv3D
    • Conv3DBackpropFilter
    • Conv3DBackpropFilterV2
    • Conv3DBackpropInput
    • Conv3DBackpropInputV2
    • Copy
    • CopyHost
    • Cos
    • Cosh
    • CountUpTo
    • CreateSummaryDbWriter
    • CreateSummaryFileWriter
    • CropAndResize
    • CropAndResizeGradBoxes
    • CropAndResizeGradImage
    • Cross
    • CrossReplicaSum
    • CudnnRNN
    • CudnnRNNBackprop
    • CudnnRNNBackpropV2
    • CudnnRNNBackpropV3
    • CudnnRNNCanonicalToParams
    • CudnnRNNCanonicalToParamsV2
    • CudnnRNNParamsSize
    • CudnnRNNParamsToCanonical
    • CudnnRNNParamsToCanonicalV2
    • CudnnRNNV2
    • CudnnRNNV3
    • Cumprod
    • Cumsum
    • CumulativeLogsumexp
    • DataFormatDimMap
    • DataFormatVecPermute
    • DataServiceDataset
    • DatasetCardinality
    • DatasetFromGraph
    • DatasetToGraph
    • DatasetToGraphV2
    • DatasetToSingleElement
    • DatasetToTFRecord
    • Dawsn
    • DebugGradientIdentity
    • DebugGradientRefIdentity
    • DebugIdentity
    • DebugIdentityV2
    • DebugNanCount
    • DebugNumericSummary
    • DebugNumericSummaryV2
    • DecodeAndCropJpeg
    • DecodeBase64
    • DecodeBmp
    • DecodeCSV
    • DecodeCompressed
    • DecodeGif
    • DecodeImage
    • DecodeJSONExample
    • DecodeJpeg
    • DecodePaddedRaw
    • DecodePng
    • DecodeProtoV2
    • DecodeRaw
    • DecodeWav
    • DeepCopy
    • DeleteIterator
    • DeleteMemoryCache
    • DeleteMultiDeviceIterator
    • DeleteRandomSeedGenerator
    • DeleteSeedGenerator
    • DeleteSessionTensor
    • DenseBincount
    • DenseCountSparseOutput
    • DenseToCSRSparseMatrix
    • DenseToDenseSetOperation
    • DenseToSparseBatchDataset
    • DenseToSparseSetOperation
    • DepthToSpace
    • DepthwiseConv2dNative
    • DepthwiseConv2dNativeBackpropFilter
    • DepthwiseConv2dNativeBackpropInput
    • Dequantize
    • DeserializeIterator
    • DeserializeManySparse
    • DeserializeSparse
    • DestroyResourceOp
    • DestroyTemporaryVariable
    • DeviceIndex
    • Diag
    • DiagPart
    • Digamma
    • Dilation2D
    • Dilation2DBackpropFilter
    • Dilation2DBackpropInput
    • DirectedInterleaveDataset
    • Div
    • DivNoNan
    • DrawBoundingBoxes
    • DrawBoundingBoxesV2
    • DummyIterationCounter
    • DummyMemoryCache
    • DummySeedGenerator
    • DynamicPartition
    • DynamicStitch
    • EagerPyFunc
    • EditDistance
    • Eig
    • Einsum
    • Elu
    • EluGrad
    • Empty
    • EmptyTensorList
    • EncodeBase64
    • EncodeJpeg
    • EncodeJpegVariableQuality
    • EncodePng
    • EncodeProto
    • EncodeWav
    • EnqueueTPUEmbeddingIntegerBatch
    • EnqueueTPUEmbeddingRaggedTensorBatch
    • EnqueueTPUEmbeddingSparseBatch
    • EnqueueTPUEmbeddingSparseTensorBatch
    • EnsureShape
    • Enter
    • Equal
    • Erf
    • Erfc
    • Erfinv
    • EuclideanNorm
    • Exit
    • Exp
    • ExpandDims
    • ExperimentalAssertNextDataset
    • ExperimentalAutoShardDataset
    • ExperimentalBytesProducedStatsDataset
    • ExperimentalCSVDataset
    • ExperimentalChooseFastestDataset
    • ExperimentalDatasetCardinality
    • ExperimentalDatasetToTFRecord
    • ExperimentalDenseToSparseBatchDataset
    • ExperimentalDirectedInterleaveDataset
    • ExperimentalGroupByReducerDataset
    • ExperimentalGroupByWindowDataset
    • ExperimentalIgnoreErrorsDataset
    • ExperimentalIteratorGetDevice
    • ExperimentalLMDBDataset
    • ExperimentalLatencyStatsDataset
    • ExperimentalMapAndBatchDataset
    • ExperimentalMapDataset
    • ExperimentalMatchingFilesDataset
    • ExperimentalMaxIntraOpParallelismDataset
    • ExperimentalNonSerializableDataset
    • ExperimentalParallelInterleaveDataset
    • ExperimentalParseExampleDataset
    • ExperimentalPrivateThreadPoolDataset
    • ExperimentalRandomDataset
    • ExperimentalRebatchDataset
    • ExperimentalScanDataset
    • ExperimentalSetStatsAggregatorDataset
    • ExperimentalSleepDataset
    • ExperimentalSlidingWindowDataset
    • ExperimentalSqlDataset
    • ExperimentalStatsAggregatorHandle
    • ExperimentalStatsAggregatorSummary
    • ExperimentalTakeWhileDataset
    • ExperimentalThreadPoolDataset
    • ExperimentalThreadPoolHandle
    • ExperimentalUnbatchDataset
    • ExperimentalUniqueDataset
    • Expint
    • Expm1
    • ExtractGlimpse
    • ExtractGlimpseV2
    • ExtractImagePatches
    • ExtractJpegShape
    • ExtractVolumePatches
    • FFT
    • FFT2D
    • FFT3D
    • FIFOQueue
    • FIFOQueueV2
    • Fact
    • FakeParam
    • FakeQuantWithMinMaxArgs
    • FakeQuantWithMinMaxArgsGradient
    • FakeQuantWithMinMaxVars
    • FakeQuantWithMinMaxVarsGradient
    • FakeQuantWithMinMaxVarsPerChannel
    • FakeQuantWithMinMaxVarsPerChannelGradient
    • FakeQueue
    • Fill
    • FilterByLastComponentDataset
    • FilterDataset
    • Fingerprint
    • FixedLengthRecordDataset
    • FixedLengthRecordDatasetV2
    • FixedLengthRecordReader
    • FixedLengthRecordReaderV2
    • FixedUnigramCandidateSampler
    • FlatMapDataset
    • Floor
    • FloorDiv
    • FloorMod
    • FlushSummaryWriter
    • For
    • FractionalAvgPool
    • FractionalAvgPoolGrad
    • FractionalMaxPool
    • FractionalMaxPoolGrad
    • FresnelCos
    • FresnelSin
    • FusedBatchNorm
    • FusedBatchNormGrad
    • FusedBatchNormGradV2
    • FusedBatchNormGradV3
    • FusedBatchNormV2
    • FusedBatchNormV3
    • FusedPadConv2D
    • FusedResizeAndPadConv2D
    • GRUBlockCell
    • GRUBlockCellGrad
    • Gather
    • GatherNd
    • GatherV2
    • GenerateBoundingBoxProposals
    • GenerateVocabRemapping
    • GeneratorDataset
    • GetSessionHandle
    • GetSessionHandleV2
    • GetSessionTensor
    • Greater
    • GreaterEqual
    • GroupByReducerDataset
    • GroupByWindowDataset
    • GuaranteeConst
    • HSVToRGB
    • HashTable
    • HashTableV2
    • HistogramFixedWidth
    • HistogramSummary
    • IFFT
    • IFFT2D
    • IFFT3D
    • IRFFT
    • IRFFT2D
    • IRFFT3D
    • Identity
    • IdentityN
    • IdentityReader
    • IdentityReaderV2
    • If
    • Igamma
    • IgammaGradA
    • Igammac
    • IgnoreErrorsDataset
    • Imag
    • ImageProjectiveTransformV2
    • ImageProjectiveTransformV3
    • ImageSummary
    • ImmutableConst
    • ImportEvent
    • InTopK
    • InTopKV2
    • InfeedDequeue
    • InfeedDequeueTuple
    • InfeedEnqueue
    • InfeedEnqueuePrelinearizedBuffer
    • InfeedEnqueueTuple
    • InitializeTable
    • InitializeTableFromDataset
    • InitializeTableFromTextFile
    • InitializeTableFromTextFileV2
    • InitializeTableV2
    • InplaceAdd
    • InplaceSub
    • InplaceUpdate
    • InterleaveDataset
    • Inv
    • InvGrad
    • Invert
    • InvertPermutation
    • IsBoostedTreesEnsembleInitialized
    • IsBoostedTreesQuantileStreamResourceInitialized
    • IsFinite
    • IsInf
    • IsNan
    • IsVariableInitialized
    • IsotonicRegression
    • Iterator
    • IteratorFromStringHandle
    • IteratorFromStringHandleV2
    • IteratorGetDevice
    • IteratorGetNext
    • IteratorGetNextAsOptional
    • IteratorGetNextSync
    • IteratorToStringHandle
    • IteratorV2
    • L2Loss
    • LMDBDataset
    • LMDBReader
    • LRN
    • LRNGrad
    • LSTMBlockCell
    • LSTMBlockCellGrad
    • LatencyStatsDataset
    • LeakyRelu
    • LeakyReluGrad
    • LearnedUnigramCandidateSampler
    • LeftShift
    • LegacyParallelInterleaveDatasetV2
    • Less
    • LessEqual
    • Lgamma
    • LinSpace
    • ListDiff
    • LoadAndRemapMatrix
    • LoadDataset
    • LoadTPUEmbeddingADAMParameters
    • LoadTPUEmbeddingADAMParametersGradAccumDebug
    • LoadTPUEmbeddingAdadeltaParameters
    • LoadTPUEmbeddingAdadeltaParametersGradAccumDebug
    • LoadTPUEmbeddingAdagradParameters
    • LoadTPUEmbeddingAdagradParametersGradAccumDebug
    • LoadTPUEmbeddingCenteredRMSPropParameters
    • LoadTPUEmbeddingFTRLParameters
    • LoadTPUEmbeddingFTRLParametersGradAccumDebug
    • LoadTPUEmbeddingMDLAdagradLightParameters
    • LoadTPUEmbeddingMomentumParameters
    • LoadTPUEmbeddingMomentumParametersGradAccumDebug
    • LoadTPUEmbeddingProximalAdagradParameters
    • LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug
    • LoadTPUEmbeddingProximalYogiParameters
    • LoadTPUEmbeddingProximalYogiParametersGradAccumDebug
    • LoadTPUEmbeddingRMSPropParameters
    • LoadTPUEmbeddingRMSPropParametersGradAccumDebug
    • LoadTPUEmbeddingStochasticGradientDescentParameters
    • LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug
    • Log
    • Log1p
    • LogMatrixDeterminant
    • LogSoftmax
    • LogUniformCandidateSampler
    • LogicalAnd
    • LogicalNot
    • LogicalOr
    • LookupTableExport
    • LookupTableExportV2
    • LookupTableFind
    • LookupTableFindV2
    • LookupTableImport
    • LookupTableImportV2
    • LookupTableInsert
    • LookupTableInsertV2
    • LookupTableRemoveV2
    • LookupTableSize
    • LookupTableSizeV2
    • LoopCond
    • LowerBound
    • Lu
    • MakeIterator
    • MapAndBatchDataset
    • MapClear
    • MapDataset
    • MapDefun
    • MapIncompleteSize
    • MapPeek
    • MapSize
    • MapStage
    • MapUnstage
    • MapUnstageNoKey
    • MatMul
    • MatchingFiles
    • MatchingFilesDataset
    • MatrixBandPart
    • MatrixDeterminant
    • MatrixDiag
    • MatrixDiagPart
    • MatrixDiagPartV2
    • MatrixDiagPartV3
    • MatrixDiagV2
    • MatrixDiagV3
    • MatrixExponential
    • MatrixInverse
    • MatrixLogarithm
    • MatrixSetDiag
    • MatrixSetDiagV2
    • MatrixSetDiagV3
    • MatrixSolve
    • MatrixSolveLs
    • MatrixSquareRoot
    • MatrixTriangularSolve
    • Max
    • MaxIntraOpParallelismDataset
    • MaxPool
    • MaxPool3D
    • MaxPool3DGrad
    • MaxPool3DGradGrad
    • MaxPoolGrad
    • MaxPoolGradGrad
    • MaxPoolGradGradV2
    • MaxPoolGradGradWithArgmax
    • MaxPoolGradV2
    • MaxPoolGradWithArgmax
    • MaxPoolV2
    • MaxPoolWithArgmax
    • Maximum
    • Mean
    • Merge
    • MergeSummary
    • MergeV2Checkpoints
    • Mfcc
    • Min
    • Minimum
    • MirrorPad
    • MirrorPadGrad
    • Mod
    • ModelDataset
    • Mul
    • MulNoNan
    • MultiDeviceIterator
    • MultiDeviceIteratorFromStringHandle
    • MultiDeviceIteratorGetNextFromShard
    • MultiDeviceIteratorInit
    • MultiDeviceIteratorToStringHandle
    • Multinomial
    • MutableDenseHashTable
    • MutableDenseHashTableV2
    • MutableHashTable
    • MutableHashTableOfTensors
    • MutableHashTableOfTensorsV2
    • MutableHashTableV2
    • MutexLock
    • MutexV2
    • NcclAllReduce
    • NcclBroadcast
    • NcclReduce
    • Ndtri
    • Neg
    • NextAfter
    • NextIteration
    • NoOp
    • NonDeterministicInts
    • NonMaxSuppression
    • NonMaxSuppressionV2
    • NonMaxSuppressionV3
    • NonMaxSuppressionV4
    • NonMaxSuppressionV5
    • NonMaxSuppressionWithOverlaps
    • NonSerializableDataset
    • NotEqual
    • NthElement
    • OneHot
    • OneShotIterator
    • OnesLike
    • OptimizeDataset
    • OptimizeDatasetV2
    • OptionalFromValue
    • OptionalGetValue
    • OptionalHasValue
    • OptionalNone
    • OrderedMapClear
    • OrderedMapIncompleteSize
    • OrderedMapPeek
    • OrderedMapSize
    • OrderedMapStage
    • OrderedMapUnstage
    • OrderedMapUnstageNoKey
    • OutfeedDequeue
    • OutfeedDequeueTuple
    • OutfeedDequeueTupleV2
    • OutfeedDequeueV2
    • OutfeedEnqueue
    • OutfeedEnqueueTuple
    • Pack
    • Pad
    • PadV2
    • PaddedBatchDataset
    • PaddedBatchDatasetV2
    • PaddingFIFOQueue
    • PaddingFIFOQueueV2
    • ParallelConcat
    • ParallelDynamicStitch
    • ParallelInterleaveDataset
    • ParallelInterleaveDatasetV2
    • ParallelInterleaveDatasetV3
    • ParallelInterleaveDatasetV4
    • ParallelMapDataset
    • ParallelMapDatasetV2
    • ParameterizedTruncatedNormal
    • ParseExample
    • ParseExampleDataset
    • ParseExampleDatasetV2
    • ParseExampleV2
    • ParseSequenceExample
    • ParseSequenceExampleV2
    • ParseSingleExample
    • ParseSingleSequenceExample
    • ParseTensor
    • PartitionedCall
    • Placeholder
    • PlaceholderV2
    • PlaceholderWithDefault
    • Polygamma
    • PopulationCount
    • Pow
    • PrefetchDataset
    • Prelinearize
    • PrelinearizeTuple
    • PreventGradient
    • Print
    • PrintV2
    • PriorityQueue
    • PriorityQueueV2
    • PrivateThreadPoolDataset
    • Prod
    • PyFunc
    • PyFuncStateless
    • Qr
    • QuantizeAndDequantize
    • QuantizeAndDequantizeV2
    • QuantizeAndDequantizeV3
    • QuantizeAndDequantizeV4
    • QuantizeAndDequantizeV4Grad
    • QuantizeDownAndShrinkRange
    • QuantizeV2
    • QuantizedAdd
    • QuantizedAvgPool
    • QuantizedBatchNormWithGlobalNormalization
    • QuantizedBiasAdd
    • QuantizedConcat
    • QuantizedConv2D
    • QuantizedConv2DAndRelu
    • QuantizedConv2DAndReluAndRequantize
    • QuantizedConv2DAndRequantize
    • QuantizedConv2DPerChannel
    • QuantizedConv2DWithBias
    • QuantizedConv2DWithBiasAndRelu
    • QuantizedConv2DWithBiasAndReluAndRequantize
    • QuantizedConv2DWithBiasAndRequantize
    • QuantizedConv2DWithBiasSignedSumAndReluAndRequantize
    • QuantizedConv2DWithBiasSumAndRelu
    • QuantizedConv2DWithBiasSumAndReluAndRequantize
    • QuantizedDepthwiseConv2D
    • QuantizedDepthwiseConv2DWithBias
    • QuantizedDepthwiseConv2DWithBiasAndRelu
    • QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize
    • QuantizedInstanceNorm
    • QuantizedMatMul
    • QuantizedMatMulWithBias
    • QuantizedMatMulWithBiasAndDequantize
    • QuantizedMatMulWithBiasAndRelu
    • QuantizedMatMulWithBiasAndReluAndRequantize
    • QuantizedMatMulWithBiasAndRequantize
    • QuantizedMaxPool
    • QuantizedMul
    • QuantizedRelu
    • QuantizedRelu6
    • QuantizedReluX
    • QuantizedReshape
    • QuantizedResizeBilinear
    • QueueClose
    • QueueCloseV2
    • QueueDequeue
    • QueueDequeueMany
    • QueueDequeueManyV2
    • QueueDequeueUpTo
    • QueueDequeueUpToV2
    • QueueDequeueV2
    • QueueEnqueue
    • QueueEnqueueMany
    • QueueEnqueueManyV2
    • QueueEnqueueV2
    • QueueIsClosed
    • QueueIsClosedV2
    • QueueSize
    • QueueSizeV2
    • RFFT
    • RFFT2D
    • RFFT3D
    • RGBToHSV
    • RaggedBincount
    • RaggedCountSparseOutput
    • RaggedCross
    • RaggedGather
    • RaggedRange
    • RaggedTensorFromVariant
    • RaggedTensorToSparse
    • RaggedTensorToTensor
    • RaggedTensorToVariant
    • RaggedTensorToVariantGradient
    • RandomCrop
    • RandomDataset
    • RandomGamma
    • RandomGammaGrad
    • RandomPoisson
    • RandomPoissonV2
    • RandomShuffle
    • RandomShuffleQueue
    • RandomShuffleQueueV2
    • RandomStandardNormal
    • RandomUniform
    • RandomUniformInt
    • Range
    • RangeDataset
    • Rank
    • ReadFile
    • ReadVariableOp
    • ReaderNumRecordsProduced
    • ReaderNumRecordsProducedV2
    • ReaderNumWorkUnitsCompleted
    • ReaderNumWorkUnitsCompletedV2
    • ReaderRead
    • ReaderReadUpTo
    • ReaderReadUpToV2
    • ReaderReadV2
    • ReaderReset
    • ReaderResetV2
    • ReaderRestoreState
    • ReaderRestoreStateV2
    • ReaderSerializeState
    • ReaderSerializeStateV2
    • Real
    • RealDiv
    • RebatchDataset
    • RebatchDatasetV2
    • Reciprocal
    • ReciprocalGrad
    • RecordInput
    • Recv
    • RecvTPUEmbeddingActivations
    • ReduceDataset
    • ReduceJoin
    • RefEnter
    • RefExit
    • RefIdentity
    • RefMerge
    • RefNextIteration
    • RefSelect
    • RefSwitch
    • RegexFullMatch
    • RegexReplace
    • RegisterDataset
    • Relu
    • Relu6
    • Relu6Grad
    • ReluGrad
    • RemoteCall
    • RepeatDataset
    • RequantizationRange
    • RequantizationRangePerChannel
    • Requantize
    • RequantizePerChannel
    • Reshape
    • ResizeArea
    • ResizeBicubic
    • ResizeBicubicGrad
    • ResizeBilinear
    • ResizeBilinearGrad
    • ResizeNearestNeighbor
    • ResizeNearestNeighborGrad
    • ResourceAccumulatorApplyGradient
    • ResourceAccumulatorNumAccumulated
    • ResourceAccumulatorSetGlobalStep
    • ResourceAccumulatorTakeGradient
    • ResourceApplyAdaMax
    • ResourceApplyAdadelta
    • ResourceApplyAdagrad
    • ResourceApplyAdagradDA
    • ResourceApplyAdagradV2
    • ResourceApplyAdam
    • ResourceApplyAdamWithAmsgrad
    • ResourceApplyAddSign
    • ResourceApplyCenteredRMSProp
    • ResourceApplyFtrl
    • ResourceApplyFtrlV2
    • ResourceApplyGradientDescent
    • ResourceApplyKerasMomentum
    • ResourceApplyMomentum
    • ResourceApplyPowerSign
    • ResourceApplyProximalAdagrad
    • ResourceApplyProximalGradientDescent
    • ResourceApplyRMSProp
    • ResourceConditionalAccumulator
    • ResourceCountUpTo
    • ResourceGather
    • ResourceGatherNd
    • ResourceScatterAdd
    • ResourceScatterDiv
    • ResourceScatterMax
    • ResourceScatterMin
    • ResourceScatterMul
    • ResourceScatterNdAdd
    • ResourceScatterNdMax
    • ResourceScatterNdMin
    • ResourceScatterNdSub
    • ResourceScatterNdUpdate
    • ResourceScatterSub
    • ResourceScatterUpdate
    • ResourceSparseApplyAdadelta
    • ResourceSparseApplyAdagrad
    • ResourceSparseApplyAdagradDA
    • ResourceSparseApplyAdagradV2
    • ResourceSparseApplyCenteredRMSProp
    • ResourceSparseApplyFtrl
    • ResourceSparseApplyFtrlV2
    • ResourceSparseApplyKerasMomentum
    • ResourceSparseApplyMomentum
    • ResourceSparseApplyProximalAdagrad
    • ResourceSparseApplyProximalGradientDescent
    • ResourceSparseApplyRMSProp
    • ResourceStridedSliceAssign
    • Restore
    • RestoreSlice
    • RestoreV2
    • RetrieveTPUEmbeddingADAMParameters
    • RetrieveTPUEmbeddingADAMParametersGradAccumDebug
    • RetrieveTPUEmbeddingAdadeltaParameters
    • RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug
    • RetrieveTPUEmbeddingAdagradParameters
    • RetrieveTPUEmbeddingAdagradParametersGradAccumDebug
    • RetrieveTPUEmbeddingCenteredRMSPropParameters
    • RetrieveTPUEmbeddingFTRLParameters
    • RetrieveTPUEmbeddingFTRLParametersGradAccumDebug
    • RetrieveTPUEmbeddingMDLAdagradLightParameters
    • RetrieveTPUEmbeddingMomentumParameters
    • RetrieveTPUEmbeddingMomentumParametersGradAccumDebug
    • RetrieveTPUEmbeddingProximalAdagradParameters
    • RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug
    • RetrieveTPUEmbeddingProximalYogiParameters
    • RetrieveTPUEmbeddingProximalYogiParametersGradAccumDebug
    • RetrieveTPUEmbeddingRMSPropParameters
    • RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug
    • RetrieveTPUEmbeddingStochasticGradientDescentParameters
    • RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug
    • Reverse
    • ReverseSequence
    • ReverseV2
    • RightShift
    • Rint
    • RngReadAndSkip
    • RngSkip
    • Roll
    • Round
    • Rsqrt
    • RsqrtGrad
    • SampleDistortedBoundingBox
    • SampleDistortedBoundingBoxV2
    • SamplingDataset
    • Save
    • SaveDataset
    • SaveSlices
    • SaveV2
    • ScalarSummary
    • ScaleAndTranslate
    • ScaleAndTranslateGrad
    • ScanDataset
    • ScatterAdd
    • ScatterDiv
    • ScatterMax
    • ScatterMin
    • ScatterMul
    • ScatterNd
    • ScatterNdAdd
    • ScatterNdMax
    • ScatterNdMin
    • ScatterNdNonAliasingAdd
    • ScatterNdSub
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