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TensorFlow_2 API Manual
Module(362)
Function(2669)
Method(3744)
Module
tf
tf.audio
tf.autodiff
tf.autograph.experimental
tf.autograph
tf.bitwise
tf.compat.v1.summary
tf.compat.v1.app
tf.compat.v1.audio
tf.compat.v1.autograph.experimental
tf.compat.v1.autograph
tf.compat.v1.bitwise
tf.compat.v1.compat
tf.compat.v1.config.experimental
tf.compat.v1.config.optimizer
tf.compat.v1.config.threading
tf.compat.v1.config
tf.compat.v1.data.experimental
tf.compat.v1.data
tf.compat.v1.debugging.experimental
tf.compat.v1.debugging
tf.compat.v1.distribute.cluster_resolver
tf.compat.v1.distribute.experimental
tf.compat.v1.distribute
tf.compat.v1.distributions
tf.compat.v1.dtypes
tf.compat.v1.errors
tf.compat.v1.estimator.experimental
tf.compat.v1.estimator.export
tf.compat.v1.estimator.inputs
tf.compat.v1.estimator.tpu.experimental
tf.compat.v1.estimator.tpu
tf.compat.v1.estimator
tf.compat.v1.experimental
tf.compat.v1.feature_column
tf.compat.v1.flags.tf_decorator.tf_stack
tf.compat.v1.flags.tf_decorator
tf.compat.v1.flags
tf.compat.v1.gfile
tf.compat.v1.graph_util
tf.compat.v1.image
tf.compat.v1.initializers
tf.compat.v1.io.gfile
tf.compat.v1.io
tf.compat.v1.keras.activations
tf.compat.v1.keras.applications.densenet
tf.compat.v1.keras.applications.imagenet_utils
tf.compat.v1.keras.applications.inception_resnet_v2
tf.compat.v1.keras.applications.inception_v3
tf.compat.v1.keras.applications.mobilenet
tf.compat.v1.keras.applications.mobilenet_v2
tf.compat.v1.keras.applications.nasnet
tf.compat.v1.keras.applications.resnet
tf.compat.v1.keras.applications.resnet50
tf.compat.v1.keras.applications.resnet_v2
tf.compat.v1.keras.applications.vgg16
tf.compat.v1.keras.applications.vgg19
tf.compat.v1.keras.applications.xception
tf.compat.v1.keras.applications
tf.compat.v1.keras.backend
tf.compat.v1.keras.callbacks
tf.compat.v1.keras.constraints
tf.compat.v1.keras.datasets.boston_housing
tf.compat.v1.keras.datasets.cifar10
tf.compat.v1.keras.datasets.cifar100
tf.compat.v1.keras.datasets.fashion_mnist
tf.compat.v1.keras.datasets.imdb
tf.compat.v1.keras.datasets.mnist
tf.compat.v1.keras.datasets.reuters
tf.compat.v1.keras.datasets
tf.compat.v1.keras.estimator
tf.compat.v1.keras.experimental
tf.compat.v1.keras.initializers
tf.compat.v1.keras.layers.experimental.preprocessing
tf.compat.v1.keras.layers.experimental
tf.compat.v1.keras.layers
tf.compat.v1.keras.losses
tf.compat.v1.keras.metrics
tf.compat.v1.keras.mixed_precision.experimental
tf.compat.v1.keras.mixed_precision
tf.compat.v1.keras.models
tf.compat.v1.keras.optimizers.schedules
tf.compat.v1.keras.optimizers
tf.compat.v1.keras.preprocessing.image
tf.compat.v1.keras.preprocessing.sequence
tf.compat.v1.keras.preprocessing.text
tf.compat.v1.keras.preprocessing
tf.compat.v1.keras.regularizers
tf.compat.v1.keras.utils
tf.compat.v1.keras.wrappers.scikit_learn
tf.compat.v1.keras.wrappers
tf.compat.v1.keras
tf.compat.v1.layers.experimental
tf.compat.v1.layers
tf.compat.v1.linalg
tf.compat.v1.lite.constants
tf.compat.v1.lite.experimental.nn
tf.compat.v1.lite.experimental
tf.compat.v1.lite
tf.compat.v1.logging
tf.compat.v1.lookup.experimental
tf.compat.v1.lookup
tf.compat.v1.losses
tf.compat.v1.manip
tf.compat.v1.math
tf.compat.v1.metrics
tf.compat.v1.mixed_precision.experimental
tf.compat.v1.mixed_precision
tf.compat.v1.mlir.experimental
tf.compat.v1.mlir
tf.compat.v1.nest
tf.compat.v1.nn.rnn_cell
tf.compat.v1.nn
tf.compat.v1.profiler
tf.compat.v1.python_io
tf.compat.v1.quantization
tf.compat.v1.queue
tf.compat.v1.ragged
tf.compat.v1.random.experimental
tf.compat.v1.random
tf.compat.v1.raw_ops
tf.compat.v1.resource_loader
tf.compat.v1.saved_model.builder
tf.compat.v1.saved_model.constants
tf.compat.v1.saved_model.experimental
tf.compat.v1.saved_model.loader
tf.compat.v1.saved_model.main_op
tf.compat.v1.saved_model.signature_constants
tf.compat.v1.saved_model.signature_def_utils
tf.compat.v1.saved_model.tag_constants
tf.compat.v1.saved_model.utils
tf.compat.v1.saved_model
tf.compat.v1.sets
tf.compat.v1.signal
tf.compat.v1.sparse
tf.compat.v1.spectral
tf.compat.v1.strings
tf.compat.v1.sysconfig
tf.compat.v1.test
tf.compat.v1.tpu.experimental
tf.compat.v1.tpu
tf.compat.v1.train.experimental
tf.compat.v1.train.queue_runner
tf.compat.v1.train
tf.compat.v1.user_ops
tf.compat.v1.version
tf.compat.v1.xla.experimental
tf.compat.v1.xla
tf.compat.v1
tf.compat.v2.audio
tf.compat.v2.autodiff
tf.compat.v2.autograph.experimental
tf.compat.v2.autograph
tf.compat.v2.bitwise
tf.compat.v2.compat
tf.compat.v2.config.experimental
tf.compat.v2.config.optimizer
tf.compat.v2.config.threading
tf.compat.v2.config
tf.compat.v2.data.experimental
tf.compat.v2.data
tf.compat.v2.debugging.experimental
tf.compat.v2.debugging
tf.compat.v2.distribute.cluster_resolver
tf.compat.v2.distribute.experimental
tf.compat.v2.distribute
tf.compat.v2.dtypes
tf.compat.v2.errors
tf.compat.v2.experimental.tensorrt
tf.compat.v2.experimental
tf.compat.v2.feature_column
tf.compat.v2.graph_util
tf.compat.v2.image
tf.compat.v2.io.gfile
tf.compat.v2.io
tf.compat.v2.keras.activations
tf.compat.v2.keras.applications.densenet
tf.compat.v2.keras.applications.imagenet_utils
tf.compat.v2.keras.applications.inception_resnet_v2
tf.compat.v2.keras.applications.inception_v3
tf.compat.v2.keras.applications.mobilenet
tf.compat.v2.keras.applications.mobilenet_v2
tf.compat.v2.keras.applications.nasnet
tf.compat.v2.keras.applications.resnet
tf.compat.v2.keras.applications.resnet50
tf.compat.v2.keras.applications.resnet_v2
tf.compat.v2.keras.applications.vgg16
tf.compat.v2.keras.applications.vgg19
tf.compat.v2.keras.applications.xception
tf.compat.v2.keras.applications
tf.compat.v2.keras.backend
tf.compat.v2.keras.callbacks
tf.compat.v2.keras.constraints
tf.compat.v2.keras.datasets.boston_housing
tf.compat.v2.keras.datasets.cifar10
tf.compat.v2.keras.datasets.cifar100
tf.compat.v2.keras.datasets.fashion_mnist
tf.compat.v2.keras.datasets.imdb
tf.compat.v2.keras.datasets.mnist
tf.compat.v2.keras.datasets.reuters
tf.compat.v2.keras.datasets
tf.compat.v2.keras.estimator
tf.compat.v2.keras.experimental
tf.compat.v2.keras.initializers
tf.compat.v2.keras.layers.experimental.preprocessing
tf.compat.v2.keras.layers.experimental
tf.compat.v2.keras.layers
tf.compat.v2.keras.losses
tf.compat.v2.keras.metrics
tf.compat.v2.keras.mixed_precision.experimental
tf.compat.v2.keras.mixed_precision
tf.compat.v2.keras.models
tf.compat.v2.keras.optimizers.schedules
tf.compat.v2.keras.optimizers
tf.compat.v2.keras.preprocessing.image
tf.compat.v2.keras.preprocessing.sequence
tf.compat.v2.keras.preprocessing.text
tf.compat.v2.keras.preprocessing
tf.compat.v2.keras.regularizers
tf.compat.v2.keras.utils
tf.compat.v2.keras.wrappers.scikit_learn
tf.compat.v2.keras.wrappers
tf.compat.v2.keras
tf.compat.v2.linalg
tf.compat.v2.lite.experimental
tf.compat.v2.lite
tf.compat.v2.lookup.experimental
tf.compat.v2.lookup
tf.compat.v2.math
tf.compat.v2.mixed_precision.experimental
tf.compat.v2.mixed_precision
tf.compat.v2.mlir.experimental
tf.compat.v2.mlir
tf.compat.v2.nest
tf.compat.v2.nn
tf.compat.v2.quantization
tf.compat.v2.queue
tf.compat.v2.ragged
tf.compat.v2.random.experimental
tf.compat.v2.random
tf.compat.v2.raw_ops
tf.compat.v2.saved_model
tf.compat.v2.sets
tf.compat.v2.signal
tf.compat.v2.sparse
tf.compat.v2.strings
tf.compat.v2.sysconfig
tf.compat.v2.test
tf.compat.v2.tpu.experimental
tf.compat.v2.tpu
tf.compat.v2.train.experimental
tf.compat.v2.train
tf.compat.v2.version
tf.compat.v2.xla.experimental
tf.compat.v2.xla
tf.compat.v2
tf.compat
tf.config.experimental
tf.config.optimizer
tf.config.threading
tf.config
tf.data.experimental
tf.data
tf.debugging.experimental
tf.debugging
tf.distribute.cluster_resolver
tf.distribute.experimental
tf.distribute
tf.dtypes
tf.errors
tf.estimator.experimental
tf.estimator.export
tf.estimator
tf.experimental.tensorrt
tf.experimental
tf.feature_column
tf.graph_util
tf.image
tf.io.gfile
tf.io
tf.keras.activations
tf.keras.applications.mobilenet
tf.keras.applications.resnet50
tf.keras.applications.vgg16
tf.keras.applications.vgg19
tf.keras.applications.xception
tf.keras.applications.densenet
tf.keras.applications.imagenet_utils
tf.keras.applications.inception_resnet_v2
tf.keras.applications.inception_v3
tf.keras.applications.mobilenet_v2
tf.keras.applications.nasnet
tf.keras.applications.resnet
tf.keras.applications.resnet_v2
tf.keras.applications
tf.keras.backend
tf.keras.callbacks
tf.keras.constraints
tf.keras.datasets.boston_housing
tf.keras.datasets.cifar10
tf.keras.datasets.cifar100
tf.keras.datasets.fashion_mnist
tf.keras.datasets.imdb
tf.keras.datasets.mnist
tf.keras.datasets.reuters
tf.keras.datasets
tf.keras.estimator
tf.keras.experimental
tf.keras.initializers
tf.keras.layers.experimental.preprocessing
tf.keras.layers.experimental
tf.keras.layers
tf.keras.losses
tf.keras.metrics
tf.keras.mixed_precision.experimental
tf.keras.mixed_precision
tf.keras.models
tf.keras.optimizers.schedules
tf.keras.optimizers
tf.keras.preprocessing.image
tf.keras.preprocessing.sequence
tf.keras.preprocessing.text
tf.keras.preprocessing
tf.keras.regularizers
tf.keras.utils
tf.keras.wrappers.scikit_learn
tf.keras.wrappers
tf.keras
tf.linalg
tf.lite.experimental
tf.lite
tf.lookup.experimental
tf.lookup
tf.math
tf.mixed_precision.experimental
tf.mixed_precision
tf.mlir.experimental
tf.mlir
tf.nest
tf.nn
tf.quantization
tf.queue
tf.ragged
tf.random.experimental
tf.random
tf.raw_ops
tf.saved_model
tf.sets
tf.signal
tf.sparse
tf.strings
tf.summary.experimental
tf.summary
tf.sysconfig
tf.test
tf.tpu.experimental
tf.tpu
tf.train.experimental
tf.train
tf.version
tf.xla.experimental
tf.xla
Function
Module: tf
tf.AggregationMethod
tf.CriticalSection
tf.DeviceSpec
tf.GradientTape
tf.Graph
tf.IndexedSlices
tf.IndexedSlicesSpec
tf.Module
tf.Operation
tf.OptionalSpec
tf.RaggedTensor
tf.RaggedTensorSpec
tf.RegisterGradient
tf.SparseTensorSpec
tf.Tensor
tf.TensorArray
tf.TensorArraySpec
tf.TensorShape
tf.TensorSpec
tf.TypeSpec
tf.UnconnectedGradients
tf.Variable.SaveSliceInfo
tf.Variable
tf.VariableAggregation
tf.VariableSynchronization
tf.argsort
tf.audio.decode_wav
tf.audio.encode_wav
Module: tf.audio
tf.autodiff.ForwardAccumulator
Module: tf.autodiff
tf.autograph.experimental.Feature
tf.autograph.experimental.do_not_convert
Module: tf.autograph.experimental
tf.autograph.set_verbosity
tf.autograph.to_code
tf.autograph.to_graph
tf.autograph.trace
Module: tf.autograph
tf.batch_to_space
tf.bitcast
tf.bitwise.bitwise_and
tf.bitwise.bitwise_or
tf.bitwise.bitwise_xor
tf.bitwise.invert
tf.bitwise.left_shift
tf.bitwise.right_shift
Module: tf.bitwise
tf.boolean_mask
tf.broadcast_dynamic_shape
tf.broadcast_static_shape
tf.broadcast_to
tf.case
tf.cast
tf.clip_by_global_norm
tf.clip_by_norm
tf.clip_by_value
tf.compat.as_bytes
tf.compat.as_str_any
tf.compat.as_text
tf.compat.dimension_at_index
tf.compat.dimension_value
tf.compat.forward_compatibility_horizon
tf.compat.forward_compatible
tf.compat.path_to_str
tf.compat.v1.AttrValue.ListValue
tf.compat.v1.AttrValue
tf.compat.v1.ConditionalAccumulator
tf.compat.v1.ConditionalAccumulatorBase
tf.compat.v1.ConfigProto.DeviceCountEntry
tf.compat.v1.ConfigProto.Experimental
tf.compat.v1.ConfigProto
tf.compat.v1.DeviceSpec
tf.compat.v1.Dimension
tf.compat.v1.Event
tf.compat.v1.FixedLengthRecordReader
tf.compat.v1.GPUOptions.Experimental.VirtualDevices
tf.compat.v1.GPUOptions.Experimental
tf.compat.v1.GPUOptions
tf.compat.v1.GraphDef
tf.compat.v1.GraphKeys
tf.compat.v1.GraphOptions
tf.compat.v1.HistogramProto
tf.compat.v1.IdentityReader
tf.compat.v1.InteractiveSession
tf.compat.v1.LMDBReader
tf.compat.v1.LogMessage
tf.compat.v1.MetaGraphDef.CollectionDefEntry
tf.compat.v1.MetaGraphDef.MetaInfoDef
tf.compat.v1.MetaGraphDef.SignatureDefEntry
tf.compat.v1.MetaGraphDef
tf.compat.v1.NameAttrList.AttrEntry
tf.compat.v1.NameAttrList
tf.compat.v1.NodeDef.AttrEntry
tf.compat.v1.NodeDef.ExperimentalDebugInfo
tf.compat.v1.NodeDef
tf.compat.v1.OptimizerOptions
tf.compat.v1.Print
tf.compat.v1.ReaderBase
tf.compat.v1.RunMetadata.FunctionGraphs
tf.compat.v1.RunMetadata
tf.compat.v1.RunOptions.Experimental
tf.compat.v1.RunOptions
tf.compat.v1.Session
tf.compat.v1.SessionLog
tf.compat.v1.SparseConditionalAccumulator
tf.compat.v1.SparseTensorValue
Module: tf.compat.v1.summary
tf.compat.v1.SummaryMetadata.PluginData
tf.compat.v1.SummaryMetadata
tf.compat.v1.TFRecordReader
tf.compat.v1.TensorInfo.CompositeTensor
tf.compat.v1.TensorInfo.CooSparse
tf.compat.v1.TensorInfo
tf.compat.v1.TextLineReader
tf.compat.v1.Variable
tf.compat.v1.VariableAggregation
tf.compat.v1.VariableScope
tf.compat.v1.WholeFileReader
tf.compat.v1.add_check_numerics_ops
tf.compat.v1.add_to_collection
tf.compat.v1.add_to_collections
tf.compat.v1.all_variables
tf.compat.v1.app.run
Module: tf.compat.v1.app
tf.compat.v1.arg_max
tf.compat.v1.arg_min
tf.compat.v1.argmax
tf.compat.v1.argmin
tf.compat.v1.assert_equal
tf.compat.v1.assert_greater
tf.compat.v1.assert_greater_equal
tf.compat.v1.assert_integer
tf.compat.v1.assert_less
tf.compat.v1.assert_less_equal
tf.compat.v1.assert_near
tf.compat.v1.assert_negative
tf.compat.v1.assert_non_negative
tf.compat.v1.assert_non_positive
tf.compat.v1.assert_none_equal
tf.compat.v1.assert_positive
tf.compat.v1.assert_rank
tf.compat.v1.assert_rank_at_least
tf.compat.v1.assert_rank_in
tf.compat.v1.assert_scalar
tf.compat.v1.assert_type
tf.compat.v1.assert_variables_initialized
tf.compat.v1.assign
tf.compat.v1.assign_add
tf.compat.v1.assign_sub
Module: tf.compat.v1.audio
Module: tf.compat.v1.autograph.experimental
tf.compat.v1.autograph.to_code
tf.compat.v1.autograph.to_graph
Module: tf.compat.v1.autograph
tf.compat.v1.batch_gather
tf.compat.v1.batch_scatter_update
tf.compat.v1.batch_to_space
tf.compat.v1.batch_to_space_nd
tf.compat.v1.bincount
Module: tf.compat.v1.bitwise
tf.compat.v1.boolean_mask
tf.compat.v1.case
tf.compat.v1.clip_by_average_norm
tf.compat.v1.colocate_with
Module: tf.compat.v1.compat
tf.compat.v1.cond
Module: tf.compat.v1.config.experimental
Module: tf.compat.v1.config.optimizer
Module: tf.compat.v1.config.threading
Module: tf.compat.v1.config
tf.compat.v1.confusion_matrix
tf.compat.v1.constant
tf.compat.v1.container
tf.compat.v1.control_flow_v2_enabled
tf.compat.v1.convert_to_tensor
tf.compat.v1.convert_to_tensor_or_indexed_slices
tf.compat.v1.convert_to_tensor_or_sparse_tensor
tf.compat.v1.count_nonzero
tf.compat.v1.count_up_to
tf.compat.v1.create_partitioned_variables
tf.compat.v1.data.Dataset
tf.compat.v1.data.FixedLengthRecordDataset
tf.compat.v1.data.Iterator
tf.compat.v1.data.TFRecordDataset
tf.compat.v1.data.TextLineDataset
tf.compat.v1.data.experimental.Counter
tf.compat.v1.data.experimental.CsvDataset
tf.compat.v1.data.experimental.RaggedTensorStructure
tf.compat.v1.data.experimental.RandomDataset
tf.compat.v1.data.experimental.SparseTensorStructure
tf.compat.v1.data.experimental.SqlDataset
tf.compat.v1.data.experimental.StatsAggregator
tf.compat.v1.data.experimental.TensorArrayStructure
tf.compat.v1.data.experimental.TensorStructure
tf.compat.v1.data.experimental.choose_from_datasets
tf.compat.v1.data.experimental.make_batched_features_dataset
tf.compat.v1.data.experimental.make_csv_dataset
tf.compat.v1.data.experimental.map_and_batch_with_legacy_function
tf.compat.v1.data.experimental.sample_from_datasets
Module: tf.compat.v1.data.experimental
tf.compat.v1.data.get_output_classes
tf.compat.v1.data.get_output_shapes
tf.compat.v1.data.get_output_types
tf.compat.v1.data.make_initializable_iterator
tf.compat.v1.data.make_one_shot_iterator
Module: tf.compat.v1.data
tf.compat.v1.debugging.assert_shapes
Module: tf.compat.v1.debugging.experimental
Module: tf.compat.v1.debugging
tf.compat.v1.decode_csv
tf.compat.v1.decode_raw
tf.compat.v1.delete_session_tensor
tf.compat.v1.depth_to_space
tf.compat.v1.device
tf.compat.v1.disable_control_flow_v2
tf.compat.v1.disable_eager_execution
tf.compat.v1.disable_resource_variables
tf.compat.v1.disable_tensor_equality
tf.compat.v1.disable_v2_behavior
tf.compat.v1.disable_v2_tensorshape
tf.compat.v1.distribute.MirroredStrategy
tf.compat.v1.distribute.OneDeviceStrategy
tf.compat.v1.distribute.Strategy
tf.compat.v1.distribute.StrategyExtended
Module: tf.compat.v1.distribute.cluster_resolver
tf.compat.v1.distribute.experimental.CentralStorageStrategy
tf.compat.v1.distribute.experimental.MultiWorkerMirroredStrategy
tf.compat.v1.distribute.experimental.ParameterServerStrategy
tf.compat.v1.distribute.experimental.TPUStrategy
Module: tf.compat.v1.distribute.experimental
tf.compat.v1.distribute.get_loss_reduction
Module: tf.compat.v1.distribute
tf.compat.v1.distributions.Bernoulli
tf.compat.v1.distributions.Beta
tf.compat.v1.distributions.Categorical
tf.compat.v1.distributions.Dirichlet
tf.compat.v1.distributions.DirichletMultinomial
tf.compat.v1.distributions.Distribution
tf.compat.v1.distributions.Exponential
tf.compat.v1.distributions.Gamma
tf.compat.v1.distributions.Laplace
tf.compat.v1.distributions.Multinomial
tf.compat.v1.distributions.Normal
tf.compat.v1.distributions.RegisterKL
tf.compat.v1.distributions.ReparameterizationType
tf.compat.v1.distributions.StudentT
tf.compat.v1.distributions.Uniform
tf.compat.v1.distributions.kl_divergence
Module: tf.compat.v1.distributions
Module: tf.compat.v1.dtypes
tf.compat.v1.enable_control_flow_v2
tf.compat.v1.enable_eager_execution
tf.compat.v1.enable_resource_variables
tf.compat.v1.enable_tensor_equality
tf.compat.v1.enable_v2_behavior
tf.compat.v1.enable_v2_tensorshape
tf.compat.v1.errors.error_code_from_exception_type
tf.compat.v1.errors.exception_type_from_error_code
tf.compat.v1.errors.raise_exception_on_not_ok_status
Module: tf.compat.v1.errors
tf.compat.v1.estimator.BaselineClassifier
tf.compat.v1.estimator.BaselineEstimator
tf.compat.v1.estimator.BaselineRegressor
tf.compat.v1.estimator.DNNClassifier
tf.compat.v1.estimator.DNNEstimator
tf.compat.v1.estimator.DNNLinearCombinedClassifier
tf.compat.v1.estimator.DNNLinearCombinedEstimator
tf.compat.v1.estimator.DNNLinearCombinedRegressor
tf.compat.v1.estimator.DNNRegressor
tf.compat.v1.estimator.Estimator
tf.compat.v1.estimator.LinearClassifier
tf.compat.v1.estimator.LinearEstimator
tf.compat.v1.estimator.LinearRegressor
tf.compat.v1.estimator.classifier_parse_example_spec
tf.compat.v1.estimator.experimental.KMeans
tf.compat.v1.estimator.experimental.dnn_logit_fn_builder
tf.compat.v1.estimator.experimental.linear_logit_fn_builder
Module: tf.compat.v1.estimator.experimental
Module: tf.compat.v1.estimator.export
tf.compat.v1.estimator.inputs.numpy_input_fn
tf.compat.v1.estimator.inputs.pandas_input_fn
Module: tf.compat.v1.estimator.inputs
tf.compat.v1.estimator.regressor_parse_example_spec
tf.compat.v1.estimator.tpu.InputPipelineConfig
tf.compat.v1.estimator.tpu.RunConfig
tf.compat.v1.estimator.tpu.TPUConfig
tf.compat.v1.estimator.tpu.TPUEstimator
tf.compat.v1.estimator.tpu.TPUEstimatorSpec
tf.compat.v1.estimator.tpu.experimental.EmbeddingConfigSpec
Module: tf.compat.v1.estimator.tpu.experimental
Module: tf.compat.v1.estimator.tpu
Module: tf.compat.v1.estimator
tf.compat.v1.executing_eagerly
tf.compat.v1.expand_dims
tf.compat.v1.experimental.output_all_intermediates
Module: tf.compat.v1.experimental
tf.compat.v1.extract_image_patches
tf.compat.v1.feature_column.categorical_column_with_vocabulary_file
tf.compat.v1.feature_column.input_layer
tf.compat.v1.feature_column.linear_model
tf.compat.v1.feature_column.make_parse_example_spec
tf.compat.v1.feature_column.shared_embedding_columns
Module: tf.compat.v1.feature_column
tf.compat.v1.fixed_size_partitioner
tf.compat.v1.flags.ArgumentParser
tf.compat.v1.flags.ArgumentSerializer
tf.compat.v1.flags.BaseListParser
tf.compat.v1.flags.BooleanFlag
tf.compat.v1.flags.BooleanParser
tf.compat.v1.flags.CantOpenFlagFileError
tf.compat.v1.flags.CsvListSerializer
tf.compat.v1.flags.DEFINE
tf.compat.v1.flags.DEFINE_alias
tf.compat.v1.flags.DEFINE_bool
tf.compat.v1.flags.DEFINE_enum
tf.compat.v1.flags.DEFINE_enum_class
tf.compat.v1.flags.DEFINE_flag
tf.compat.v1.flags.DEFINE_float
tf.compat.v1.flags.DEFINE_integer
tf.compat.v1.flags.DEFINE_list
tf.compat.v1.flags.DEFINE_multi
tf.compat.v1.flags.DEFINE_multi_enum
tf.compat.v1.flags.DEFINE_multi_enum_class
tf.compat.v1.flags.DEFINE_multi_float
tf.compat.v1.flags.DEFINE_multi_integer
tf.compat.v1.flags.DEFINE_multi_string
tf.compat.v1.flags.DEFINE_spaceseplist
tf.compat.v1.flags.DEFINE_string
tf.compat.v1.flags.DuplicateFlagError
tf.compat.v1.flags.EnumClassFlag
tf.compat.v1.flags.EnumClassParser
tf.compat.v1.flags.EnumFlag
tf.compat.v1.flags.EnumParser
tf.compat.v1.flags.Error
tf.compat.v1.flags.FLAGS
tf.compat.v1.flags.Flag
tf.compat.v1.flags.FlagNameConflictsWithMethodError
tf.compat.v1.flags.FlagValues
tf.compat.v1.flags.FloatParser
tf.compat.v1.flags.IllegalFlagValueError
tf.compat.v1.flags.IntegerParser
tf.compat.v1.flags.ListParser
tf.compat.v1.flags.ListSerializer
tf.compat.v1.flags.MultiEnumClassFlag
tf.compat.v1.flags.MultiFlag
tf.compat.v1.flags.UnparsedFlagAccessError
tf.compat.v1.flags.UnrecognizedFlagError
tf.compat.v1.flags.ValidationError
tf.compat.v1.flags.WhitespaceSeparatedListParser
tf.compat.v1.flags.adopt_module_key_flags
tf.compat.v1.flags.declare_key_flag
tf.compat.v1.flags.disclaim_key_flags
tf.compat.v1.flags.doc_to_help
tf.compat.v1.flags.flag_dict_to_args
tf.compat.v1.flags.get_help_width
tf.compat.v1.flags.mark_bool_flags_as_mutual_exclusive
tf.compat.v1.flags.mark_flag_as_required
tf.compat.v1.flags.mark_flags_as_mutual_exclusive
tf.compat.v1.flags.mark_flags_as_required
tf.compat.v1.flags.multi_flags_validator
tf.compat.v1.flags.register_multi_flags_validator
tf.compat.v1.flags.register_validator
tf.compat.v1.flags.text_wrap
tf.compat.v1.flags.tf_decorator.TFDecorator
tf.compat.v1.flags.tf_decorator.make_decorator
tf.compat.v1.flags.tf_decorator.rewrap
tf.compat.v1.flags.tf_decorator.tf_stack.CurrentModuleFilter
tf.compat.v1.flags.tf_decorator.tf_stack.FrameSummary
tf.compat.v1.flags.tf_decorator.tf_stack.StackSummary
tf.compat.v1.flags.tf_decorator.tf_stack.StackTraceFilter
tf.compat.v1.flags.tf_decorator.tf_stack.StackTraceMapper
tf.compat.v1.flags.tf_decorator.tf_stack.StackTraceTransform
tf.compat.v1.flags.tf_decorator.tf_stack.extract_stack
Module: tf.compat.v1.flags.tf_decorator.tf_stack
tf.compat.v1.flags.tf_decorator.unwrap
Module: tf.compat.v1.flags.tf_decorator
tf.compat.v1.flags.validator
Module: tf.compat.v1.flags
tf.compat.v1.floor_div
tf.compat.v1.gather
tf.compat.v1.gather_nd
tf.compat.v1.get_collection
tf.compat.v1.get_collection_ref
tf.compat.v1.get_default_graph
tf.compat.v1.get_default_session
tf.compat.v1.get_local_variable
tf.compat.v1.get_seed
tf.compat.v1.get_session_handle
tf.compat.v1.get_session_tensor
tf.compat.v1.get_variable
tf.compat.v1.get_variable_scope
tf.compat.v1.gfile.Copy
tf.compat.v1.gfile.DeleteRecursively
tf.compat.v1.gfile.Exists
tf.compat.v1.gfile.FastGFile
tf.compat.v1.gfile.Glob
tf.compat.v1.gfile.IsDirectory
tf.compat.v1.gfile.ListDirectory
tf.compat.v1.gfile.MakeDirs
tf.compat.v1.gfile.MkDir
tf.compat.v1.gfile.Remove
tf.compat.v1.gfile.Rename
tf.compat.v1.gfile.Stat
tf.compat.v1.gfile.Walk
Module: tf.compat.v1.gfile
tf.compat.v1.global_variables
tf.compat.v1.global_variables_initializer
tf.compat.v1.gradients
tf.compat.v1.graph_util.convert_variables_to_constants
tf.compat.v1.graph_util.extract_sub_graph
tf.compat.v1.graph_util.must_run_on_cpu
tf.compat.v1.graph_util.remove_training_nodes
tf.compat.v1.graph_util.tensor_shape_from_node_def_name
Module: tf.compat.v1.graph_util
tf.compat.v1.hessians
tf.compat.v1.image.ResizeMethod
tf.compat.v1.image.crop_and_resize
tf.compat.v1.image.draw_bounding_boxes
tf.compat.v1.image.extract_glimpse
tf.compat.v1.image.resize
tf.compat.v1.image.resize_area
tf.compat.v1.image.resize_bicubic
tf.compat.v1.image.resize_bilinear
tf.compat.v1.image.resize_image_with_pad
tf.compat.v1.image.resize_nearest_neighbor
tf.compat.v1.image.sample_distorted_bounding_box
Module: tf.compat.v1.image
tf.compat.v1.initialize_all_tables
tf.compat.v1.initialize_all_variables
tf.compat.v1.initialize_local_variables
tf.compat.v1.initialize_variables
Module: tf.compat.v1.initializers
tf.compat.v1.io.TFRecordCompressionType
Module: tf.compat.v1.io.gfile
tf.compat.v1.io.tf_record_iterator
Module: tf.compat.v1.io
tf.compat.v1.is_variable_initialized
Module: tf.compat.v1.keras.activations
Module: tf.compat.v1.keras.applications.densenet
Module: tf.compat.v1.keras.applications.imagenet_utils
Module: tf.compat.v1.keras.applications.inception_resnet_v2
Module: tf.compat.v1.keras.applications.inception_v3
Module: tf.compat.v1.keras.applications.mobilenet
Module: tf.compat.v1.keras.applications.mobilenet_v2
Module: tf.compat.v1.keras.applications.nasnet
Module: tf.compat.v1.keras.applications.resnet
Module: tf.compat.v1.keras.applications.resnet50
Module: tf.compat.v1.keras.applications.resnet_v2
Module: tf.compat.v1.keras.applications.vgg16
Module: tf.compat.v1.keras.applications.vgg19
Module: tf.compat.v1.keras.applications.xception
Module: tf.compat.v1.keras.applications
tf.compat.v1.keras.backend.get_session
tf.compat.v1.keras.backend.name_scope
tf.compat.v1.keras.backend.set_session
Module: tf.compat.v1.keras.backend
tf.compat.v1.keras.callbacks.TensorBoard
Module: tf.compat.v1.keras.callbacks
Module: tf.compat.v1.keras.constraints
Module: tf.compat.v1.keras.datasets.boston_housing
Module: tf.compat.v1.keras.datasets.cifar10
Module: tf.compat.v1.keras.datasets.cifar100
Module: tf.compat.v1.keras.datasets.fashion_mnist
Module: tf.compat.v1.keras.datasets.imdb
Module: tf.compat.v1.keras.datasets.mnist
Module: tf.compat.v1.keras.datasets.reuters
Module: tf.compat.v1.keras.datasets
tf.compat.v1.keras.estimator.model_to_estimator
Module: tf.compat.v1.keras.estimator
tf.compat.v1.keras.experimental.export_saved_model
tf.compat.v1.keras.experimental.load_from_saved_model
Module: tf.compat.v1.keras.experimental
tf.compat.v1.keras.initializers.Constant
tf.compat.v1.keras.initializers.Identity
tf.compat.v1.keras.initializers.Initializer
tf.compat.v1.keras.initializers.Ones
tf.compat.v1.keras.initializers.Orthogonal
tf.compat.v1.keras.initializers.RandomNormal
tf.compat.v1.keras.initializers.RandomUniform
tf.compat.v1.keras.initializers.TruncatedNormal
tf.compat.v1.keras.initializers.VarianceScaling
tf.compat.v1.keras.initializers.Zeros
tf.compat.v1.keras.initializers.glorot_normal
tf.compat.v1.keras.initializers.glorot_uniform
tf.compat.v1.keras.initializers.he_normal
tf.compat.v1.keras.initializers.he_uniform
tf.compat.v1.keras.initializers.lecun_normal
tf.compat.v1.keras.initializers.lecun_uniform
Module: tf.compat.v1.keras.initializers
tf.compat.v1.keras.layers.BatchNormalization
tf.compat.v1.keras.layers.CuDNNGRU
tf.compat.v1.keras.layers.CuDNNLSTM
tf.compat.v1.keras.layers.DenseFeatures
tf.compat.v1.keras.layers.GRU
tf.compat.v1.keras.layers.GRUCell
tf.compat.v1.keras.layers.LSTM
tf.compat.v1.keras.layers.LSTMCell
tf.compat.v1.keras.layers.experimental.preprocessing.Normalization
tf.compat.v1.keras.layers.experimental.preprocessing.TextVectorization
Module: tf.compat.v1.keras.layers.experimental.preprocessing
Module: tf.compat.v1.keras.layers.experimental
Module: tf.compat.v1.keras.layers
Module: tf.compat.v1.keras.losses
Module: tf.compat.v1.keras.metrics
Module: tf.compat.v1.keras.mixed_precision.experimental
Module: tf.compat.v1.keras.mixed_precision
Module: tf.compat.v1.keras.models
Module: tf.compat.v1.keras.optimizers.schedules
Module: tf.compat.v1.keras.optimizers
Module: tf.compat.v1.keras.preprocessing.image
Module: tf.compat.v1.keras.preprocessing.sequence
Module: tf.compat.v1.keras.preprocessing.text
Module: tf.compat.v1.keras.preprocessing
Module: tf.compat.v1.keras.regularizers
Module: tf.compat.v1.keras.utils
Module: tf.compat.v1.keras.wrappers.scikit_learn
Module: tf.compat.v1.keras.wrappers
Module: tf.compat.v1.keras
tf.compat.v1.layers.AveragePooling1D
tf.compat.v1.layers.AveragePooling2D
tf.compat.v1.layers.AveragePooling3D
tf.compat.v1.layers.BatchNormalization
tf.compat.v1.layers.conv1d
tf.compat.v1.layers.conv2d
tf.compat.v1.layers.Conv2DTranspose
tf.compat.v1.layers.conv3d
tf.compat.v1.layers.Conv3DTranspose
tf.compat.v1.layers.dense
tf.compat.v1.layers.dropout
tf.compat.v1.layers.flatten
tf.compat.v1.layers.Layer
tf.compat.v1.layers.MaxPooling1D
tf.compat.v1.layers.MaxPooling2D
tf.compat.v1.layers.MaxPooling3D
tf.compat.v1.layers.SeparableConv1D
tf.compat.v1.layers.SeparableConv2D
tf.compat.v1.layers.average_pooling1d
tf.compat.v1.layers.average_pooling2d
tf.compat.v1.layers.average_pooling3d
tf.compat.v1.layers.batch_normalization
tf.compat.v1.layers.conv2d_transpose
tf.compat.v1.layers.conv3d_transpose
tf.compat.v1.layers.experimental.keras_style_scope
tf.compat.v1.layers.experimental.set_keras_style
Module: tf.compat.v1.layers.experimental
tf.compat.v1.layers.max_pooling1d
tf.compat.v1.layers.max_pooling2d
tf.compat.v1.layers.max_pooling3d
tf.compat.v1.layers.separable_conv1d
tf.compat.v1.layers.separable_conv2d
Module: tf.compat.v1.layers
tf.compat.v1.linalg.l2_normalize
Module: tf.compat.v1.linalg
tf.compat.v1.lite.OpHint.OpHintArgumentTracker
tf.compat.v1.lite.OpHint
tf.compat.v1.lite.TFLiteConverter
tf.compat.v1.lite.TocoConverter
Module: tf.compat.v1.lite.constants
tf.compat.v1.lite.experimental.convert_op_hints_to_stubs
tf.compat.v1.lite.experimental.get_potentially_supported_ops
tf.compat.v1.lite.experimental.nn.TFLiteLSTMCell
tf.compat.v1.lite.experimental.nn.TfLiteRNNCell
tf.compat.v1.lite.experimental.nn.dynamic_rnn
Module: tf.compat.v1.lite.experimental.nn
Module: tf.compat.v1.lite.experimental
tf.compat.v1.lite.toco_convert
Module: tf.compat.v1.lite
tf.compat.v1.load_file_system_library
tf.compat.v1.local_variables
tf.compat.v1.local_variables_initializer
tf.compat.v1.logging.TaskLevelStatusMessage
tf.compat.v1.logging.debug
tf.compat.v1.logging.error
tf.compat.v1.logging.fatal
tf.compat.v1.logging.flush
tf.compat.v1.logging.get_verbosity
tf.compat.v1.logging.info
tf.compat.v1.logging.log
tf.compat.v1.logging.log_every_n
tf.compat.v1.logging.log_first_n
tf.compat.v1.logging.log_if
tf.compat.v1.logging.set_verbosity
tf.compat.v1.logging.vlog
tf.compat.v1.logging.warn
tf.compat.v1.logging.warning
Module: tf.compat.v1.logging
tf.compat.v1.lookup.StaticHashTable
tf.compat.v1.lookup.StaticVocabularyTable
Module: tf.compat.v1.lookup.experimental
Module: tf.compat.v1.lookup
tf.compat.v1.losses.Reduction
tf.compat.v1.losses.absolute_difference
tf.compat.v1.losses.add_loss
tf.compat.v1.losses.compute_weighted_loss
tf.compat.v1.losses.cosine_distance
tf.compat.v1.losses.get_losses
tf.compat.v1.losses.get_regularization_loss
tf.compat.v1.losses.get_regularization_losses
tf.compat.v1.losses.get_total_loss
tf.compat.v1.losses.hinge_loss
tf.compat.v1.losses.huber_loss
tf.compat.v1.losses.log_loss
tf.compat.v1.losses.mean_pairwise_squared_error
tf.compat.v1.losses.mean_squared_error
tf.compat.v1.losses.sigmoid_cross_entropy
tf.compat.v1.losses.softmax_cross_entropy
tf.compat.v1.losses.sparse_softmax_cross_entropy
Module: tf.compat.v1.losses
tf.compat.v1.make_template
Module: tf.compat.v1.manip
tf.compat.v1.math.in_top_k
tf.compat.v1.math.log_softmax
tf.compat.v1.math.softmax
Module: tf.compat.v1.math
tf.compat.v1.metrics.accuracy
tf.compat.v1.metrics.auc
tf.compat.v1.metrics.average_precision_at_k
tf.compat.v1.metrics.false_negatives
tf.compat.v1.metrics.false_negatives_at_thresholds
tf.compat.v1.metrics.false_positives
tf.compat.v1.metrics.false_positives_at_thresholds
tf.compat.v1.metrics.mean
tf.compat.v1.metrics.mean_absolute_error
tf.compat.v1.metrics.mean_cosine_distance
tf.compat.v1.metrics.mean_iou
tf.compat.v1.metrics.mean_per_class_accuracy
tf.compat.v1.metrics.mean_relative_error
tf.compat.v1.metrics.mean_squared_error
tf.compat.v1.metrics.mean_tensor
tf.compat.v1.metrics.percentage_below
tf.compat.v1.metrics.precision
tf.compat.v1.metrics.precision_at_k
tf.compat.v1.metrics.precision_at_thresholds
tf.compat.v1.metrics.precision_at_top_k
tf.compat.v1.metrics.recall
tf.compat.v1.metrics.recall_at_k
tf.compat.v1.metrics.recall_at_thresholds
tf.compat.v1.metrics.recall_at_top_k
tf.compat.v1.metrics.root_mean_squared_error
tf.compat.v1.metrics.sensitivity_at_specificity
tf.compat.v1.metrics.sparse_average_precision_at_k
tf.compat.v1.metrics.sparse_precision_at_k
tf.compat.v1.metrics.specificity_at_sensitivity
tf.compat.v1.metrics.true_negatives
tf.compat.v1.metrics.true_negatives_at_thresholds
tf.compat.v1.metrics.true_positives
tf.compat.v1.metrics.true_positives_at_thresholds
Module: tf.compat.v1.metrics
tf.compat.v1.min_max_variable_partitioner
Module: tf.compat.v1.mixed_precision.experimental
Module: tf.compat.v1.mixed_precision
Module: tf.compat.v1.mlir.experimental
Module: tf.compat.v1.mlir
tf.compat.v1.model_variables
tf.compat.v1.moving_average_variables
tf.compat.v1.multinomial
Module: tf.compat.v1.nest
tf.compat.v1.nn.avg_pool
tf.compat.v1.nn.batch_norm_with_global_normalization
tf.compat.v1.nn.bidirectional_dynamic_rnn
tf.compat.v1.nn.conv1d
tf.compat.v1.nn.conv2d
tf.compat.v1.nn.conv2d_backprop_filter
tf.compat.v1.nn.conv2d_backprop_input
tf.compat.v1.nn.conv2d_transpose
tf.compat.v1.nn.conv3d
tf.compat.v1.nn.conv3d_backprop_filter
tf.compat.v1.nn.conv3d_transpose
tf.compat.v1.nn.convolution
tf.compat.v1.nn.crelu
tf.compat.v1.nn.ctc_beam_search_decoder
tf.compat.v1.nn.ctc_loss
tf.compat.v1.nn.depthwise_conv2d
tf.compat.v1.nn.depthwise_conv2d_native
tf.compat.v1.nn.dilation2d
tf.compat.v1.nn.dropout
tf.compat.v1.nn.dynamic_rnn
tf.compat.v1.nn.embedding_lookup
tf.compat.v1.nn.embedding_lookup_sparse
tf.compat.v1.nn.erosion2d
tf.compat.v1.nn.fractional_avg_pool
tf.compat.v1.nn.fractional_max_pool
tf.compat.v1.nn.fused_batch_norm
tf.compat.v1.nn.max_pool
tf.compat.v1.nn.max_pool_with_argmax
tf.compat.v1.nn.moments
tf.compat.v1.nn.nce_loss
tf.compat.v1.nn.pool
tf.compat.v1.nn.quantized_avg_pool
tf.compat.v1.nn.quantized_conv2d
tf.compat.v1.nn.quantized_max_pool
tf.compat.v1.nn.quantized_relu_x
tf.compat.v1.nn.raw_rnn
tf.compat.v1.nn.relu_layer
tf.compat.v1.nn.rnn_cell.BasicLSTMCell
tf.compat.v1.nn.rnn_cell.BasicRNNCell
tf.compat.v1.nn.rnn_cell.DeviceWrapper
tf.compat.v1.nn.rnn_cell.DropoutWrapper
tf.compat.v1.nn.rnn_cell.GRUCell
tf.compat.v1.nn.rnn_cell.LSTMCell
tf.compat.v1.nn.rnn_cell.LSTMStateTuple
tf.compat.v1.nn.rnn_cell.MultiRNNCell
tf.compat.v1.nn.rnn_cell.RNNCell
tf.compat.v1.nn.rnn_cell.ResidualWrapper
Module: tf.compat.v1.nn.rnn_cell
tf.compat.v1.nn.safe_embedding_lookup_sparse
tf.compat.v1.nn.sampled_softmax_loss
tf.compat.v1.nn.separable_conv2d
tf.compat.v1.nn.sigmoid_cross_entropy_with_logits
tf.compat.v1.nn.softmax_cross_entropy_with_logits
tf.compat.v1.nn.softmax_cross_entropy_with_logits_v2
tf.compat.v1.nn.sparse_softmax_cross_entropy_with_logits
tf.compat.v1.nn.static_bidirectional_rnn
tf.compat.v1.nn.static_rnn
tf.compat.v1.nn.static_state_saving_rnn
tf.compat.v1.nn.sufficient_statistics
tf.compat.v1.nn.weighted_cross_entropy_with_logits
tf.compat.v1.nn.weighted_moments
tf.compat.v1.nn.xw_plus_b
Module: tf.compat.v1.nn
tf.compat.v1.no_regularizer
tf.compat.v1.norm
tf.compat.v1.ones_like
tf.compat.v1.op_scope
tf.compat.v1.pad
tf.compat.v1.parse_example
tf.compat.v1.parse_single_example
tf.compat.v1.placeholder
tf.compat.v1.placeholder_with_default
tf.compat.v1.profiler.AdviceProto.Checker
tf.compat.v1.profiler.AdviceProto.CheckersEntry
tf.compat.v1.profiler.AdviceProto
tf.compat.v1.profiler.GraphNodeProto.InputShapesEntry
tf.compat.v1.profiler.GraphNodeProto
tf.compat.v1.profiler.MultiGraphNodeProto
tf.compat.v1.profiler.OpLogProto.IdToStringEntry
tf.compat.v1.profiler.OpLogProto
tf.compat.v1.profiler.ProfileOptionBuilder
tf.compat.v1.profiler.Profiler
tf.compat.v1.profiler.advise
tf.compat.v1.profiler.profile
tf.compat.v1.profiler.write_op_log
Module: tf.compat.v1.profiler
tf.compat.v1.py_func
Module: tf.compat.v1.python_io
Module: tf.compat.v1.quantization
tf.compat.v1.quantize_v2
Module: tf.compat.v1.queue
tf.compat.v1.ragged.RaggedTensorValue
tf.compat.v1.ragged.constant_value
tf.compat.v1.ragged.placeholder
Module: tf.compat.v1.ragged
Module: tf.compat.v1.random.experimental
tf.compat.v1.random.stateless_multinomial
Module: tf.compat.v1.random
tf.compat.v1.random_normal_initializer
tf.compat.v1.random_poisson
tf.compat.v1.random_uniform_initializer
Module: tf.compat.v1.raw_ops
tf.compat.v1.reduce_all
tf.compat.v1.reduce_any
tf.compat.v1.reduce_join
tf.compat.v1.reduce_logsumexp
tf.compat.v1.reduce_max
tf.compat.v1.reduce_mean
tf.compat.v1.reduce_min
tf.compat.v1.reduce_prod
tf.compat.v1.reduce_sum
tf.compat.v1.report_uninitialized_variables
tf.compat.v1.reset_default_graph
tf.compat.v1.resource_loader.get_data_files_path
tf.compat.v1.resource_loader.get_path_to_datafile
tf.compat.v1.resource_loader.get_root_dir_with_all_resources
tf.compat.v1.resource_loader.load_resource
tf.compat.v1.resource_loader.readahead_file_path
Module: tf.compat.v1.resource_loader
tf.compat.v1.resource_variables_enabled
tf.compat.v1.reverse_sequence
Module: tf.compat.v1.saved_model.builder
tf.compat.v1.saved_model.build_signature_def
tf.compat.v1.saved_model.build_tensor_info
tf.compat.v1.saved_model.classification_signature_def
Module: tf.compat.v1.saved_model.constants
tf.compat.v1.saved_model.contains_saved_model
Module: tf.compat.v1.saved_model.experimental
tf.compat.v1.saved_model.get_tensor_from_tensor_info
tf.compat.v1.saved_model.is_valid_signature
tf.compat.v1.saved_model.load
Module: tf.compat.v1.saved_model.loader
tf.compat.v1.saved_model.main_op.main_op
Module: tf.compat.v1.saved_model.main_op
tf.compat.v1.saved_model.main_op_with_restore
tf.compat.v1.saved_model.predict_signature_def
tf.compat.v1.saved_model.regression_signature_def
Module: tf.compat.v1.saved_model.signature_constants
Module: tf.compat.v1.saved_model.signature_def_utils
tf.compat.v1.saved_model.simple_save
Module: tf.compat.v1.saved_model.tag_constants
Module: tf.compat.v1.saved_model.utils
Module: tf.compat.v1.saved_model
tf.compat.v1.scalar_mul
tf.compat.v1.scatter_add
tf.compat.v1.scatter_div
tf.compat.v1.scatter_max
tf.compat.v1.scatter_min
tf.compat.v1.scatter_mul
tf.compat.v1.scatter_nd_add
tf.compat.v1.scatter_nd_sub
tf.compat.v1.scatter_nd_update
tf.compat.v1.scatter_sub
tf.compat.v1.scatter_update
tf.compat.v1.serialize_many_sparse
tf.compat.v1.serialize_sparse
tf.compat.v1.set_random_seed
tf.compat.v1.setdiff1d
Module: tf.compat.v1.sets
tf.compat.v1.shape
Module: tf.compat.v1.signal
tf.compat.v1.size
tf.compat.v1.space_to_batch
tf.compat.v1.space_to_depth
Module: tf.compat.v1.sparse
tf.compat.v1.sparse_add
tf.compat.v1.sparse_concat
tf.compat.v1.sparse_matmul
tf.compat.v1.sparse_merge
tf.compat.v1.sparse_placeholder
tf.compat.v1.sparse_reduce_max
tf.compat.v1.sparse_reduce_max_sparse
tf.compat.v1.sparse_reduce_sum
tf.compat.v1.sparse_reduce_sum_sparse
tf.compat.v1.sparse_segment_mean
tf.compat.v1.sparse_segment_sqrt_n
tf.compat.v1.sparse_segment_sum
tf.compat.v1.sparse_split
tf.compat.v1.sparse_to_dense
Module: tf.compat.v1.spectral
tf.compat.v1.squeeze
tf.compat.v1.string_split
tf.compat.v1.string_to_hash_bucket
tf.compat.v1.string_to_number
tf.compat.v1.strings.length
tf.compat.v1.strings.split
tf.compat.v1.strings.substr
Module: tf.compat.v1.strings
tf.compat.v1.substr
tf.compat.v1.summary.audio
tf.compat.v1.summary.FileWriter
tf.compat.v1.summary.FileWriterCache
tf.compat.v1.summary.image
tf.compat.v1.summary.SummaryDescription
tf.compat.v1.summary.TaggedRunMetadata
tf.compat.v1.Summary.Value
tf.compat.v1.summary.all_v2_summary_ops
tf.compat.v1.summary.get_summary_description
tf.compat.v1.summary.histogram
tf.compat.v1.summary.initialize
tf.compat.v1.summary.merge
tf.compat.v1.summary.merge_all
tf.compat.v1.summary.scalar
tf.compat.v1.summary.tensor_summary
tf.compat.v1.summary.text
Module: tf.compat.v1.sysconfig
tf.compat.v1.tables_initializer
tf.compat.v1.test.StubOutForTesting
tf.compat.v1.test.assert_equal_graph_def
tf.compat.v1.test.compute_gradient
tf.compat.v1.test.compute_gradient_error
tf.compat.v1.test.get_temp_dir
tf.compat.v1.test.test_src_dir_path
Module: tf.compat.v1.test
tf.compat.v1.to_bfloat16
tf.compat.v1.to_complex128
tf.compat.v1.to_complex64
tf.compat.v1.to_double
tf.compat.v1.to_float
tf.compat.v1.to_int32
tf.compat.v1.to_int64
tf.compat.v1.tpu.CrossShardOptimizer
tf.compat.v1.tpu.batch_parallel
tf.compat.v1.tpu.bfloat16_scope
tf.compat.v1.tpu.core
tf.compat.v1.tpu.cross_replica_sum
tf.compat.v1.tpu.experimental.AdagradParameters
tf.compat.v1.tpu.experimental.AdamParameters
tf.compat.v1.tpu.experimental.StochasticGradientDescentParameters
tf.compat.v1.tpu.experimental.embedding_column
tf.compat.v1.tpu.experimental.shared_embedding_columns
Module: tf.compat.v1.tpu.experimental
tf.compat.v1.tpu.initialize_system
tf.compat.v1.tpu.outside_compilation
tf.compat.v1.tpu.replicate
tf.compat.v1.tpu.rewrite
tf.compat.v1.tpu.shard
tf.compat.v1.tpu.shutdown_system
Module: tf.compat.v1.tpu
tf.compat.v1.train.AdadeltaOptimizer
tf.compat.v1.train.AdagradDAOptimizer
tf.compat.v1.train.AdagradOptimizer
tf.compat.v1.train.AdamOptimizer
tf.compat.v1.train.Checkpoint
tf.compat.v1.train.ChiefSessionCreator
tf.compat.v1.train.FtrlOptimizer
tf.compat.v1.train.GradientDescentOptimizer
tf.compat.v1.train.LooperThread
tf.compat.v1.train.MomentumOptimizer
tf.compat.v1.train.MonitoredSession.StepContext
tf.compat.v1.train.MonitoredSession
tf.compat.v1.train.MonitoredTrainingSession
tf.compat.v1.train.NewCheckpointReader
tf.compat.v1.train.Optimizer
tf.compat.v1.train.ProximalAdagradOptimizer
tf.compat.v1.train.ProximalGradientDescentOptimizer
tf.compat.v1.train.QueueRunner
tf.compat.v1.train.RMSPropOptimizer
tf.compat.v1.train.Saver
tf.compat.v1.train.SaverDef
tf.compat.v1.train.Scaffold
tf.compat.v1.train.SessionCreator
tf.compat.v1.train.SessionManager
tf.compat.v1.train.SingularMonitoredSession
tf.compat.v1.train.Supervisor
tf.compat.v1.train.SyncReplicasOptimizer
tf.compat.v1.train.WorkerSessionCreator
tf.compat.v1.train.add_queue_runner
tf.compat.v1.train.assert_global_step
tf.compat.v1.train.basic_train_loop
tf.compat.v1.train.batch
tf.compat.v1.train.batch_join
tf.compat.v1.train.checkpoint_exists
tf.compat.v1.train.cosine_decay
tf.compat.v1.train.cosine_decay_restarts
tf.compat.v1.train.create_global_step
tf.compat.v1.train.do_quantize_training_on_graphdef
tf.compat.v1.train.experimental.MixedPrecisionLossScaleOptimizer
tf.compat.v1.train.experimental.disable_mixed_precision_graph_rewrite
tf.compat.v1.train.experimental.enable_mixed_precision_graph_rewrite
Module: tf.compat.v1.train.experimental
tf.compat.v1.train.exponential_decay
tf.compat.v1.train.export_meta_graph
tf.compat.v1.train.generate_checkpoint_state_proto
tf.compat.v1.train.get_checkpoint_mtimes
tf.compat.v1.train.get_global_step
tf.compat.v1.train.get_or_create_global_step
tf.compat.v1.train.global_step
tf.compat.v1.train.import_meta_graph
tf.compat.v1.train.init_from_checkpoint
tf.compat.v1.train.input_producer
tf.compat.v1.train.inverse_time_decay
tf.compat.v1.train.limit_epochs
tf.compat.v1.train.linear_cosine_decay
tf.compat.v1.train.maybe_batch
tf.compat.v1.train.maybe_batch_join
tf.compat.v1.train.maybe_shuffle_batch
tf.compat.v1.train.maybe_shuffle_batch_join
tf.compat.v1.train.natural_exp_decay
tf.compat.v1.train.noisy_linear_cosine_decay
tf.compat.v1.train.piecewise_constant
tf.compat.v1.train.polynomial_decay
Module: tf.compat.v1.train.queue_runner
tf.compat.v1.train.range_input_producer
tf.compat.v1.train.remove_checkpoint
tf.compat.v1.train.replica_device_setter
tf.compat.v1.train.sdca_fprint
tf.compat.v1.train.sdca_optimizer
tf.compat.v1.train.sdca_shrink_l1
tf.compat.v1.train.shuffle_batch
tf.compat.v1.train.shuffle_batch_join
tf.compat.v1.train.slice_input_producer
tf.compat.v1.train.start_queue_runners
tf.compat.v1.train.string_input_producer
tf.compat.v1.train.summary_iterator
tf.compat.v1.train.update_checkpoint_state
tf.compat.v1.train.warm_start
Module: tf.compat.v1.train
tf.compat.v1.trainable_variables
tf.compat.v1.transpose
tf.compat.v1.truncated_normal_initializer
tf.compat.v1.tuple
tf.compat.v1.uniform_unit_scaling_initializer
tf.compat.v1.user_ops.my_fact
Module: tf.compat.v1.user_ops
tf.compat.v1.variable_axis_size_partitioner
tf.compat.v1.variable_creator_scope
tf.compat.v1.variable_op_scope
tf.compat.v1.variable_scope
tf.compat.v1.variables_initializer
tf.compat.v1.verify_tensor_all_finite
Module: tf.compat.v1.version
tf.compat.v1.where
tf.compat.v1.while_loop
tf.compat.v1.wrap_function
Module: tf.compat.v1.xla.experimental
Module: tf.compat.v1.xla
tf.compat.v1.zeros_like
Module: tf.compat.v1
Module: tf.compat.v2.audio
Module: tf.compat.v2.autodiff
Module: tf.compat.v2.autograph.experimental
Module: tf.compat.v2.autograph
Module: tf.compat.v2.bitwise
Module: tf.compat.v2.compat
Module: tf.compat.v2.config.experimental
Module: tf.compat.v2.config.optimizer
Module: tf.compat.v2.config.threading
Module: tf.compat.v2.config
Module: tf.compat.v2.data.experimental
Module: tf.compat.v2.data
Module: tf.compat.v2.debugging.experimental
Module: tf.compat.v2.debugging
Module: tf.compat.v2.distribute.cluster_resolver
Module: tf.compat.v2.distribute.experimental
Module: tf.compat.v2.distribute
Module: tf.compat.v2.dtypes
Module: tf.compat.v2.errors
Module: tf.compat.v2.experimental.tensorrt
Module: tf.compat.v2.experimental
Module: tf.compat.v2.feature_column
Module: tf.compat.v2.graph_util
Module: tf.compat.v2.image
Module: tf.compat.v2.io.gfile
Module: tf.compat.v2.io
Module: tf.compat.v2.keras.activations
Module: tf.compat.v2.keras.applications.densenet
Module: tf.compat.v2.keras.applications.imagenet_utils
Module: tf.compat.v2.keras.applications.inception_resnet_v2
Module: tf.compat.v2.keras.applications.inception_v3
Module: tf.compat.v2.keras.applications.mobilenet
Module: tf.compat.v2.keras.applications.mobilenet_v2
Module: tf.compat.v2.keras.applications.nasnet
Module: tf.compat.v2.keras.applications.resnet
Module: tf.compat.v2.keras.applications.resnet50
Module: tf.compat.v2.keras.applications.resnet_v2
Module: tf.compat.v2.keras.applications.vgg16
Module: tf.compat.v2.keras.applications.vgg19
Module: tf.compat.v2.keras.applications.xception
Module: tf.compat.v2.keras.applications
Module: tf.compat.v2.keras.backend
Module: tf.compat.v2.keras.callbacks
Module: tf.compat.v2.keras.constraints
Module: tf.compat.v2.keras.datasets.boston_housing
Module: tf.compat.v2.keras.datasets.cifar10
Module: tf.compat.v2.keras.datasets.cifar100
Module: tf.compat.v2.keras.datasets.fashion_mnist
Module: tf.compat.v2.keras.datasets.imdb
Module: tf.compat.v2.keras.datasets.mnist
Module: tf.compat.v2.keras.datasets.reuters
Module: tf.compat.v2.keras.datasets
Module: tf.compat.v2.keras.estimator
Module: tf.compat.v2.keras.experimental
Module: tf.compat.v2.keras.initializers
Module: tf.compat.v2.keras.layers.experimental.preprocessing
Module: tf.compat.v2.keras.layers.experimental
Module: tf.compat.v2.keras.layers
Module: tf.compat.v2.keras.losses
Module: tf.compat.v2.keras.metrics
Module: tf.compat.v2.keras.mixed_precision.experimental
Module: tf.compat.v2.keras.mixed_precision
Module: tf.compat.v2.keras.models
Module: tf.compat.v2.keras.optimizers.schedules
Module: tf.compat.v2.keras.optimizers
Module: tf.compat.v2.keras.preprocessing.image
Module: tf.compat.v2.keras.preprocessing.sequence
Module: tf.compat.v2.keras.preprocessing.text
Module: tf.compat.v2.keras.preprocessing
Module: tf.compat.v2.keras.regularizers
Module: tf.compat.v2.keras.utils
Module: tf.compat.v2.keras.wrappers.scikit_learn
Module: tf.compat.v2.keras.wrappers
Module: tf.compat.v2.keras
Module: tf.compat.v2.linalg
Module: tf.compat.v2.lite.experimental
Module: tf.compat.v2.lite
Module: tf.compat.v2.lookup.experimental
Module: tf.compat.v2.lookup
Module: tf.compat.v2.math
Module: tf.compat.v2.mixed_precision.experimental
Module: tf.compat.v2.mixed_precision
Module: tf.compat.v2.mlir.experimental
Module: tf.compat.v2.mlir
Module: tf.compat.v2.nest
Module: tf.compat.v2.nn
Module: tf.compat.v2.quantization
Module: tf.compat.v2.queue
Module: tf.compat.v2.ragged
Module: tf.compat.v2.random.experimental
Module: tf.compat.v2.random
Module: tf.compat.v2.raw_ops
Module: tf.compat.v2.saved_model
Module: tf.compat.v2.sets
Module: tf.compat.v2.signal
Module: tf.compat.v2.sparse
Module: tf.compat.v2.strings
Module: tf.compat.v2.sysconfig
Module: tf.compat.v2.test
Module: tf.compat.v2.tpu.experimental
Module: tf.compat.v2.tpu
Module: tf.compat.v2.train.experimental
Module: tf.compat.v2.train
Module: tf.compat.v2.version
Module: tf.compat.v2.xla.experimental
Module: tf.compat.v2.xla
Module: tf.compat.v2
Module: tf.compat
tf.concat
tf.cond
tf.config.LogicalDevice
tf.config.LogicalDeviceConfiguration
tf.config.PhysicalDevice
tf.config.experimental.disable_mlir_bridge
tf.config.experimental.enable_mlir_bridge
tf.config.experimental.get_device_policy
tf.config.experimental.get_memory_growth
tf.config.experimental.get_synchronous_execution
tf.config.experimental.set_device_policy
tf.config.experimental.set_memory_growth
tf.config.experimental.set_synchronous_execution
Module: tf.config.experimental
tf.config.experimental_connect_to_cluster
tf.config.experimental_connect_to_host
tf.config.experimental_functions_run_eagerly
tf.config.experimental_run_functions_eagerly
tf.config.get_logical_device_configuration
tf.config.get_soft_device_placement
tf.config.get_visible_devices
tf.config.list_logical_devices
tf.config.list_physical_devices
tf.config.optimizer.get_experimental_options
tf.config.optimizer.get_jit
tf.config.optimizer.set_experimental_options
tf.config.optimizer.set_jit
Module: tf.config.optimizer
tf.config.set_logical_device_configuration
tf.config.set_soft_device_placement
tf.config.set_visible_devices
tf.config.threading.get_inter_op_parallelism_threads
tf.config.threading.get_intra_op_parallelism_threads
tf.config.threading.set_inter_op_parallelism_threads
tf.config.threading.set_intra_op_parallelism_threads
Module: tf.config.threading
Module: tf.config
tf.constant
tf.constant_initializer
tf.control_dependencies
tf.convert_to_tensor
tf.custom_gradient
tf.data.Dataset
tf.data.DatasetSpec
tf.data.FixedLengthRecordDataset
tf.data.Options
tf.data.TFRecordDataset
tf.data.TextLineDataset
tf.data.experimental.AutoShardPolicy
tf.data.experimental.CheckpointInputPipelineHook
tf.data.experimental.Counter
tf.data.experimental.CsvDataset
tf.data.experimental.DistributeOptions
tf.data.experimental.MapVectorizationOptions
tf.data.experimental.OptimizationOptions
tf.data.experimental.Optional
tf.data.experimental.RandomDataset
tf.data.experimental.Reducer
tf.data.experimental.SqlDataset
tf.data.experimental.StatsAggregator
tf.data.experimental.StatsOptions
tf.data.experimental.TFRecordWriter
tf.data.experimental.ThreadingOptions
tf.data.experimental.bucket_by_sequence_length
tf.data.experimental.bytes_produced_stats
tf.data.experimental.cardinality
tf.data.experimental.choose_from_datasets
tf.data.experimental.copy_to_device
tf.data.experimental.dense_to_ragged_batch
tf.data.experimental.dense_to_sparse_batch
tf.data.experimental.enumerate_dataset
tf.data.experimental.from_variant
tf.data.experimental.get_next_as_optional
tf.data.experimental.get_single_element
tf.data.experimental.get_structure
tf.data.experimental.group_by_reducer
tf.data.experimental.group_by_window
tf.data.experimental.ignore_errors
tf.data.experimental.latency_stats
tf.data.experimental.make_batched_features_dataset
tf.data.experimental.make_csv_dataset
tf.data.experimental.make_saveable_from_iterator
tf.data.experimental.map_and_batch
tf.data.experimental.parallel_interleave
tf.data.experimental.parse_example_dataset
tf.data.experimental.prefetch_to_device
tf.data.experimental.rejection_resample
tf.data.experimental.sample_from_datasets
tf.data.experimental.scan
tf.data.experimental.shuffle_and_repeat
tf.data.experimental.take_while
tf.data.experimental.to_variant
tf.data.experimental.unbatch
tf.data.experimental.unique
Module: tf.data.experimental
Module: tf.data
tf.debugging.Assert
tf.debugging.assert_all_finite
tf.debugging.assert_equal
tf.debugging.assert_greater
tf.debugging.assert_greater_equal
tf.debugging.assert_integer
tf.debugging.assert_less
tf.debugging.assert_less_equal
tf.debugging.assert_near
tf.debugging.assert_negative
tf.debugging.assert_non_negative
tf.debugging.assert_non_positive
tf.debugging.assert_none_equal
tf.debugging.assert_positive
tf.debugging.assert_proper_iterable
tf.debugging.assert_rank
tf.debugging.assert_rank_at_least
tf.debugging.assert_rank_in
tf.debugging.assert_same_float_dtype
tf.debugging.assert_scalar
tf.debugging.assert_shapes
tf.debugging.assert_type
tf.debugging.check_numerics
tf.debugging.disable_check_numerics
tf.debugging.enable_check_numerics
tf.debugging.experimental.disable_dump_debug_info
tf.debugging.experimental.enable_dump_debug_info
Module: tf.debugging.experimental
tf.debugging.get_log_device_placement
tf.debugging.is_numeric_tensor
tf.debugging.set_log_device_placement
Module: tf.debugging
tf.device
tf.distribute.CrossDeviceOps
tf.distribute.HierarchicalCopyAllReduce
tf.distribute.InputContext
tf.distribute.InputReplicationMode
tf.distribute.MirroredStrategy
tf.distribute.NcclAllReduce
tf.distribute.OneDeviceStrategy
tf.distribute.ReduceOp
tf.distribute.ReductionToOneDevice
tf.distribute.ReplicaContext
tf.distribute.Server
tf.distribute.Strategy
tf.distribute.StrategyExtended
tf.distribute.cluster_resolver.ClusterResolver
tf.distribute.cluster_resolver.GCEClusterResolver
tf.distribute.cluster_resolver.KubernetesClusterResolver
tf.distribute.cluster_resolver.SimpleClusterResolver
tf.distribute.cluster_resolver.SlurmClusterResolver
tf.distribute.cluster_resolver.TFConfigClusterResolver
tf.distribute.cluster_resolver.TPUClusterResolver
tf.distribute.cluster_resolver.UnionResolver
Module: tf.distribute.cluster_resolver
tf.distribute.experimental.CentralStorageStrategy
tf.distribute.experimental.CollectiveCommunication
tf.distribute.experimental.MultiWorkerMirroredStrategy
tf.distribute.experimental.ParameterServerStrategy
tf.distribute.experimental.TPUStrategy
Module: tf.distribute.experimental
tf.distribute.experimental_set_strategy
tf.distribute.get_replica_context
tf.distribute.get_strategy
tf.distribute.has_strategy
tf.distribute.in_cross_replica_context
Module: tf.distribute
tf.dtypes.DType
tf.dtypes.as_dtype
tf.dtypes.complex
tf.dtypes.saturate_cast
Module: tf.dtypes
tf.dynamic_partition
tf.dynamic_stitch
tf.edit_distance
tf.eig
tf.eigvals
tf.einsum
tf.ensure_shape
tf.errors.AbortedError
tf.errors.AlreadyExistsError
tf.errors.CancelledError
tf.errors.DataLossError
tf.errors.DeadlineExceededError
tf.errors.FailedPreconditionError
tf.errors.InternalError
tf.errors.InvalidArgumentError
tf.errors.NotFoundError
tf.errors.OpError
tf.errors.OutOfRangeError
tf.errors.PermissionDeniedError
tf.errors.ResourceExhaustedError
tf.errors.UnauthenticatedError
tf.errors.UnavailableError
tf.errors.UnimplementedError
tf.errors.UnknownError
Module: tf.errors
tf.estimator.BaselineClassifier
tf.estimator.BaselineEstimator
tf.estimator.BaselineRegressor
tf.estimator.BestExporter
tf.estimator.BinaryClassHead
tf.estimator.BoostedTreesClassifier
tf.estimator.BoostedTreesEstimator
tf.estimator.BoostedTreesRegressor
tf.estimator.CheckpointSaverHook
tf.estimator.CheckpointSaverListener
tf.estimator.DNNClassifier
tf.estimator.DNNEstimator
tf.estimator.DNNLinearCombinedClassifier
tf.estimator.DNNLinearCombinedEstimator
tf.estimator.DNNLinearCombinedRegressor
tf.estimator.DNNRegressor
tf.estimator.Estimator
tf.estimator.EstimatorSpec
tf.estimator.EvalSpec
tf.estimator.Exporter
tf.estimator.FeedFnHook
tf.estimator.FinalExporter
tf.estimator.FinalOpsHook
tf.estimator.GlobalStepWaiterHook
tf.estimator.Head
tf.estimator.LatestExporter
tf.estimator.LinearClassifier
tf.estimator.LinearEstimator
tf.estimator.LinearRegressor
tf.estimator.LoggingTensorHook
tf.estimator.LogisticRegressionHead
tf.estimator.ModeKeys
tf.estimator.MultiClassHead
tf.estimator.MultiHead
tf.estimator.MultiLabelHead
tf.estimator.NanLossDuringTrainingError
tf.estimator.NanTensorHook
tf.estimator.PoissonRegressionHead
tf.estimator.ProfilerHook
tf.estimator.RegressionHead
tf.estimator.RunConfig
tf.estimator.SecondOrStepTimer
tf.estimator.SessionRunArgs
tf.estimator.SessionRunContext
tf.estimator.SessionRunHook
tf.estimator.SessionRunValues
tf.estimator.StepCounterHook
tf.estimator.StopAtStepHook
tf.estimator.SummarySaverHook
tf.estimator.TrainSpec
tf.estimator.VocabInfo
tf.estimator.WarmStartSettings
tf.estimator.add_metrics
tf.estimator.classifier_parse_example_spec
tf.estimator.experimental.InMemoryEvaluatorHook
tf.estimator.experimental.LinearSDCA
tf.estimator.experimental.RNNClassifier
tf.estimator.experimental.RNNEstimator
tf.estimator.experimental.build_raw_supervised_input_receiver_fn
tf.estimator.experimental.call_logit_fn
tf.estimator.experimental.make_early_stopping_hook
tf.estimator.experimental.make_stop_at_checkpoint_step_hook
tf.estimator.experimental.stop_if_higher_hook
tf.estimator.experimental.stop_if_lower_hook
tf.estimator.experimental.stop_if_no_decrease_hook
tf.estimator.experimental.stop_if_no_increase_hook
Module: tf.estimator.experimental
tf.estimator.export.ClassificationOutput
tf.estimator.export.ExportOutput
tf.estimator.export.PredictOutput
tf.estimator.export.RegressionOutput
tf.estimator.export.ServingInputReceiver
tf.estimator.export.TensorServingInputReceiver
tf.estimator.export.build_parsing_serving_input_receiver_fn
tf.estimator.export.build_raw_serving_input_receiver_fn
Module: tf.estimator.export
tf.estimator.regressor_parse_example_spec
tf.estimator.train_and_evaluate
Module: tf.estimator
tf.executing_eagerly
tf.expand_dims
tf.experimental.function_executor_type
tf.experimental.tensorrt.Converter
Module: tf.experimental.tensorrt
Module: tf.experimental
tf.extract_volume_patches
tf.eye
tf.feature_column.bucketized_column
tf.feature_column.categorical_column_with_hash_bucket
tf.feature_column.categorical_column_with_identity
tf.feature_column.categorical_column_with_vocabulary_file
tf.feature_column.categorical_column_with_vocabulary_list
tf.feature_column.crossed_column
tf.feature_column.embedding_column
tf.feature_column.indicator_column
tf.feature_column.make_parse_example_spec
tf.feature_column.numeric_column
tf.feature_column.sequence_categorical_column_with_hash_bucket
tf.feature_column.sequence_categorical_column_with_identity
tf.feature_column.sequence_categorical_column_with_vocabulary_file
tf.feature_column.sequence_categorical_column_with_vocabulary_list
tf.feature_column.sequence_numeric_column
tf.feature_column.shared_embeddings
tf.feature_column.weighted_categorical_column
Module: tf.feature_column
tf.fill
tf.fingerprint
tf.foldl
tf.foldr
tf.function
tf.gather
tf.gather_nd
tf.get_logger
tf.get_static_value
tf.grad_pass_through
tf.gradients
tf.graph_util.import_graph_def
Module: tf.graph_util
tf.group
tf.guarantee_const
tf.hessians
tf.histogram_fixed_width
tf.histogram_fixed_width_bins
tf.identity
tf.identity_n
tf.image.ResizeMethod
tf.image.adjust_brightness
tf.image.adjust_contrast
tf.image.adjust_gamma
tf.image.adjust_hue
tf.image.adjust_jpeg_quality
tf.image.adjust_saturation
tf.image.central_crop
tf.image.combined_non_max_suppression
tf.image.convert_image_dtype
tf.image.crop_and_resize
tf.image.crop_to_bounding_box
tf.image.draw_bounding_boxes
tf.image.encode_png
tf.image.extract_glimpse
tf.image.extract_patches
tf.image.flip_left_right
tf.image.flip_up_down
tf.image.generate_bounding_box_proposals
tf.image.grayscale_to_rgb
tf.image.hsv_to_rgb
tf.image.image_gradients
tf.image.non_max_suppression
tf.image.non_max_suppression_overlaps
tf.image.non_max_suppression_padded
tf.image.non_max_suppression_with_scores
tf.image.pad_to_bounding_box
tf.image.per_image_standardization
tf.image.psnr
tf.image.random_brightness
tf.image.random_contrast
tf.image.random_crop
tf.image.random_flip_left_right
tf.image.random_flip_up_down
tf.image.random_hue
tf.image.random_jpeg_quality
tf.image.random_saturation
tf.image.resize
tf.image.resize_with_crop_or_pad
tf.image.resize_with_pad
tf.image.rgb_to_grayscale
tf.image.rgb_to_hsv
tf.image.rgb_to_yiq
tf.image.rgb_to_yuv
tf.image.rot90
tf.image.sample_distorted_bounding_box
tf.image.sobel_edges
tf.image.ssim
tf.image.ssim_multiscale
tf.image.total_variation
tf.image.transpose
tf.image.yiq_to_rgb
tf.image.yuv_to_rgb
Module: tf.image
tf.init_scope
tf.io.FixedLenFeature
tf.io.FixedLenSequenceFeature
tf.io.RaggedFeature.RowLengths
tf.io.RaggedFeature.RowLimits
tf.io.RaggedFeature.RowSplits
tf.io.RaggedFeature.RowStarts
tf.io.RaggedFeature.UniformRowLength
tf.io.RaggedFeature.ValueRowIds
tf.io.RaggedFeature
tf.io.SparseFeature
tf.io.TFRecordOptions
tf.io.TFRecordWriter
tf.io.VarLenFeature
tf.io.decode_and_crop_jpeg
tf.io.decode_base64
tf.io.decode_bmp
tf.io.decode_compressed
tf.io.decode_csv
tf.io.decode_gif
tf.io.decode_image
tf.io.decode_jpeg
tf.io.decode_json_example
tf.io.decode_png
tf.io.decode_proto
tf.io.decode_raw
tf.io.deserialize_many_sparse
tf.io.encode_base64
tf.io.encode_jpeg
tf.io.encode_proto
tf.io.extract_jpeg_shape
tf.io.gfile.GFile
tf.io.gfile.copy
tf.io.gfile.exists
tf.io.gfile.glob
tf.io.gfile.isdir
tf.io.gfile.listdir
tf.io.gfile.makedirs
tf.io.gfile.mkdir
tf.io.gfile.remove
tf.io.gfile.rename
tf.io.gfile.rmtree
tf.io.gfile.stat
tf.io.gfile.walk
Module: tf.io.gfile
tf.io.is_jpeg
tf.io.match_filenames_once
tf.io.matching_files
tf.io.parse_example
tf.io.parse_sequence_example
tf.io.parse_single_example
tf.io.parse_single_sequence_example
tf.io.parse_tensor
tf.io.read_file
tf.io.serialize_many_sparse
tf.io.serialize_sparse
tf.io.serialize_tensor
tf.io.write_file
tf.io.write_graph
Module: tf.io
tf.is_tensor
tf.keras.Input
tf.keras.Model
tf.keras.Sequential
tf.keras.activations.deserialize
tf.keras.activations.elu
tf.keras.activations.exponential
tf.keras.activations.get
tf.keras.activations.hard_sigmoid
tf.keras.activations.linear
tf.keras.activations.relu
tf.keras.activations.selu
tf.keras.activations.serialize
tf.keras.activations.sigmoid
tf.keras.activations.softmax
tf.keras.activations.softplus
tf.keras.activations.softsign
tf.keras.activations.tanh
Module: tf.keras.activations
tf.keras.applications.DenseNet121
tf.keras.applications.DenseNet169
tf.keras.applications.DenseNet201
tf.keras.applications.InceptionResNetV2
tf.keras.applications.InceptionV3
Module: tf.keras.applications.mobilenet
tf.keras.applications.MobileNetV2
tf.keras.applications.NASNetLarge
tf.keras.applications.NASNetMobile
tf.keras.applications.ResNet101
tf.keras.applications.ResNet101V2
tf.keras.applications.ResNet152
tf.keras.applications.ResNet152V2
Module: tf.keras.applications.resnet50
tf.keras.applications.ResNet50V2
Module: tf.keras.applications.vgg16
Module: tf.keras.applications.vgg19
Module: tf.keras.applications.xception
tf.keras.applications.densenet.decode_predictions
tf.keras.applications.densenet.preprocess_input
Module: tf.keras.applications.densenet
tf.keras.applications.imagenet_utils.decode_predictions
tf.keras.applications.imagenet_utils.preprocess_input
Module: tf.keras.applications.imagenet_utils
tf.keras.applications.inception_resnet_v2.decode_predictions
tf.keras.applications.inception_resnet_v2.preprocess_input
Module: tf.keras.applications.inception_resnet_v2
tf.keras.applications.inception_v3.decode_predictions
tf.keras.applications.inception_v3.preprocess_input
Module: tf.keras.applications.inception_v3
tf.keras.applications.mobilenet.decode_predictions
tf.keras.applications.mobilenet.preprocess_input
tf.keras.applications.mobilenet_v2.decode_predictions
tf.keras.applications.mobilenet_v2.preprocess_input
Module: tf.keras.applications.mobilenet_v2
tf.keras.applications.nasnet.decode_predictions
tf.keras.applications.nasnet.preprocess_input
Module: tf.keras.applications.nasnet
tf.keras.applications.resnet.decode_predictions
tf.keras.applications.resnet.preprocess_input
Module: tf.keras.applications.resnet
tf.keras.applications.resnet_v2.decode_predictions
tf.keras.applications.resnet_v2.preprocess_input
Module: tf.keras.applications.resnet_v2
tf.keras.applications.vgg16.decode_predictions
tf.keras.applications.vgg16.preprocess_input
tf.keras.applications.vgg19.decode_predictions
tf.keras.applications.vgg19.preprocess_input
tf.keras.applications.xception.decode_predictions
tf.keras.applications.xception.preprocess_input
Module: tf.keras.applications
tf.keras.backend.abs
tf.keras.backend.all
tf.keras.backend.any
tf.keras.backend.arange
tf.keras.backend.argmax
tf.keras.backend.argmin
tf.keras.backend.backend
tf.keras.backend.batch_dot
tf.keras.backend.batch_flatten
tf.keras.backend.batch_get_value
tf.keras.backend.batch_normalization
tf.keras.backend.batch_set_value
tf.keras.backend.bias_add
tf.keras.backend.binary_crossentropy
tf.keras.backend.cast
tf.keras.backend.cast_to_floatx
tf.keras.backend.categorical_crossentropy
tf.keras.backend.clear_session
tf.keras.backend.clip
tf.keras.backend.concatenate
tf.keras.backend.constant
tf.keras.backend.conv1d
tf.keras.backend.conv2d
tf.keras.backend.conv2d_transpose
tf.keras.backend.conv3d
tf.keras.backend.cos
tf.keras.backend.count_params
tf.keras.backend.ctc_batch_cost
tf.keras.backend.ctc_decode
tf.keras.backend.ctc_label_dense_to_sparse
tf.keras.backend.cumprod
tf.keras.backend.cumsum
tf.keras.backend.depthwise_conv2d
tf.keras.backend.dot
tf.keras.backend.dropout
tf.keras.backend.dtype
tf.keras.backend.elu
tf.keras.backend.epsilon
tf.keras.backend.equal
tf.keras.backend.eval
tf.keras.backend.exp
tf.keras.backend.expand_dims
tf.keras.backend.eye
tf.keras.backend.flatten
tf.keras.backend.floatx
tf.keras.backend.foldl
tf.keras.backend.foldr
tf.keras.backend.function
tf.keras.backend.gather
tf.keras.backend.get_uid
tf.keras.backend.get_value
tf.keras.backend.gradients
tf.keras.backend.greater
tf.keras.backend.greater_equal
tf.keras.backend.hard_sigmoid
tf.keras.backend.image_data_format
tf.keras.backend.in_test_phase
tf.keras.backend.in_top_k
tf.keras.backend.in_train_phase
tf.keras.backend.int_shape
tf.keras.backend.is_keras_tensor
tf.keras.backend.is_sparse
tf.keras.backend.l2_normalize
tf.keras.backend.learning_phase
tf.keras.backend.learning_phase_scope
tf.keras.backend.less
tf.keras.backend.less_equal
tf.keras.backend.local_conv1d
tf.keras.backend.local_conv2d
tf.keras.backend.log
tf.keras.backend.manual_variable_initialization
tf.keras.backend.map_fn
tf.keras.backend.max
tf.keras.backend.maximum
tf.keras.backend.mean
tf.keras.backend.min
tf.keras.backend.minimum
tf.keras.backend.moving_average_update
tf.keras.backend.name_scope
tf.keras.backend.ndim
tf.keras.backend.normalize_batch_in_training
tf.keras.backend.not_equal
tf.keras.backend.one_hot
tf.keras.backend.ones
tf.keras.backend.ones_like
tf.keras.backend.permute_dimensions
tf.keras.backend.placeholder
tf.keras.backend.pool2d
tf.keras.backend.pool3d
tf.keras.backend.pow
tf.keras.backend.print_tensor
tf.keras.backend.prod
tf.keras.backend.random_binomial
tf.keras.backend.random_normal
tf.keras.backend.random_normal_variable
tf.keras.backend.random_uniform
tf.keras.backend.random_uniform_variable
tf.keras.backend.relu
tf.keras.backend.repeat
tf.keras.backend.repeat_elements
tf.keras.backend.reset_uids
tf.keras.backend.reshape
tf.keras.backend.resize_images
tf.keras.backend.resize_volumes
tf.keras.backend.reverse
tf.keras.backend.rnn
tf.keras.backend.round
tf.keras.backend.separable_conv2d
tf.keras.backend.set_epsilon
tf.keras.backend.set_floatx
tf.keras.backend.set_image_data_format
tf.keras.backend.set_learning_phase
tf.keras.backend.set_value
tf.keras.backend.shape
tf.keras.backend.sigmoid
tf.keras.backend.sign
tf.keras.backend.sin
tf.keras.backend.softmax
tf.keras.backend.softplus
tf.keras.backend.softsign
tf.keras.backend.sparse_categorical_crossentropy
tf.keras.backend.spatial_2d_padding
tf.keras.backend.spatial_3d_padding
tf.keras.backend.sqrt
tf.keras.backend.square
tf.keras.backend.squeeze
tf.keras.backend.stack
tf.keras.backend.std
tf.keras.backend.stop_gradient
tf.keras.backend.sum
tf.keras.backend.switch
tf.keras.backend.tanh
tf.keras.backend.temporal_padding
tf.keras.backend.tile
tf.keras.backend.to_dense
tf.keras.backend.transpose
tf.keras.backend.truncated_normal
tf.keras.backend.update
tf.keras.backend.update_add
tf.keras.backend.update_sub
tf.keras.backend.var
tf.keras.backend.variable
tf.keras.backend.zeros
tf.keras.backend.zeros_like
Module: tf.keras.backend
tf.keras.callbacks.BaseLogger
tf.keras.callbacks.CSVLogger
tf.keras.callbacks.Callback
tf.keras.callbacks.EarlyStopping
tf.keras.callbacks.History
tf.keras.callbacks.LambdaCallback
tf.keras.callbacks.LearningRateScheduler
tf.keras.callbacks.ModelCheckpoint
tf.keras.callbacks.ProgbarLogger
tf.keras.callbacks.ReduceLROnPlateau
tf.keras.callbacks.RemoteMonitor
tf.keras.callbacks.TensorBoard
tf.keras.callbacks.TerminateOnNaN
Module: tf.keras.callbacks
tf.keras.constraints.Constraint
tf.keras.constraints.MaxNorm
tf.keras.constraints.MinMaxNorm
tf.keras.constraints.NonNeg
tf.keras.constraints.RadialConstraint
tf.keras.constraints.UnitNorm
tf.keras.constraints.deserialize
tf.keras.constraints.get
tf.keras.constraints.serialize
Module: tf.keras.constraints
tf.keras.datasets.boston_housing.load_data
Module: tf.keras.datasets.boston_housing
tf.keras.datasets.cifar10.load_data
Module: tf.keras.datasets.cifar10
tf.keras.datasets.cifar100.load_data
Module: tf.keras.datasets.cifar100
tf.keras.datasets.fashion_mnist.load_data
Module: tf.keras.datasets.fashion_mnist
tf.keras.datasets.imdb.get_word_index
tf.keras.datasets.imdb.load_data
Module: tf.keras.datasets.imdb
tf.keras.datasets.mnist.load_data
Module: tf.keras.datasets.mnist
tf.keras.datasets.reuters.get_word_index
tf.keras.datasets.reuters.load_data
Module: tf.keras.datasets.reuters
Module: tf.keras.datasets
tf.keras.estimator.model_to_estimator
Module: tf.keras.estimator
tf.keras.experimental.CosineDecay
tf.keras.experimental.CosineDecayRestarts
tf.keras.experimental.LinearCosineDecay
tf.keras.experimental.LinearModel
tf.keras.experimental.NoisyLinearCosineDecay
tf.keras.experimental.PeepholeLSTMCell
tf.keras.experimental.SequenceFeatures
tf.keras.experimental.WideDeepModel
tf.keras.experimental.terminate_keras_multiprocessing_pools
Module: tf.keras.experimental
tf.keras.initializers.GlorotNormal
tf.keras.initializers.GlorotUniform
tf.keras.initializers.Identity
tf.keras.initializers.Initializer
tf.keras.initializers.Orthogonal
tf.keras.initializers.TruncatedNormal
tf.keras.initializers.VarianceScaling
tf.keras.initializers.deserialize
tf.keras.initializers.get
tf.keras.initializers.he_normal
tf.keras.initializers.he_uniform
tf.keras.initializers.lecun_normal
tf.keras.initializers.lecun_uniform
tf.keras.initializers.serialize
Module: tf.keras.initializers
tf.keras.layers.AbstractRNNCell
tf.keras.layers.Activation
tf.keras.layers.ActivityRegularization
tf.keras.layers.add
tf.keras.layers.AdditiveAttention
tf.keras.layers.AlphaDropout
tf.keras.layers.Attention
tf.keras.layers.average
tf.keras.layers.AveragePooling1D
tf.keras.layers.AveragePooling2D
tf.keras.layers.AveragePooling3D
tf.keras.layers.BatchNormalization
tf.keras.layers.Bidirectional
tf.keras.layers.concatenate
tf.keras.layers.Conv1D
tf.keras.layers.Conv2D
tf.keras.layers.Conv2DTranspose
tf.keras.layers.Conv3D
tf.keras.layers.Conv3DTranspose
tf.keras.layers.ConvLSTM2D
tf.keras.layers.Cropping1D
tf.keras.layers.Cropping2D
tf.keras.layers.Cropping3D
tf.keras.layers.Dense
tf.keras.layers.DenseFeatures
tf.keras.layers.DepthwiseConv2D
tf.keras.layers.dot
tf.keras.layers.Dropout
tf.keras.layers.ELU
tf.keras.layers.Embedding
tf.keras.layers.Flatten
tf.keras.layers.GRU
tf.keras.layers.GRUCell
tf.keras.layers.GaussianDropout
tf.keras.layers.GaussianNoise
tf.keras.layers.GlobalAveragePooling1D
tf.keras.layers.GlobalAveragePooling2D
tf.keras.layers.GlobalAveragePooling3D
tf.keras.layers.GlobalMaxPool1D
tf.keras.layers.GlobalMaxPool2D
tf.keras.layers.GlobalMaxPool3D
tf.keras.layers.InputLayer
tf.keras.layers.InputSpec
tf.keras.layers.LSTM
tf.keras.layers.LSTMCell
tf.keras.layers.Lambda
tf.keras.layers.Layer
tf.keras.layers.LayerNormalization
tf.keras.layers.LeakyReLU
tf.keras.layers.LocallyConnected1D
tf.keras.layers.LocallyConnected2D
tf.keras.layers.Masking
tf.keras.layers.MaxPool1D
tf.keras.layers.MaxPool2D
tf.keras.layers.MaxPool3D
tf.keras.layers.maximum
tf.keras.layers.minimum
tf.keras.layers.multiply
tf.keras.layers.PReLU
tf.keras.layers.Permute
tf.keras.layers.RNN
tf.keras.layers.ReLU
tf.keras.layers.RepeatVector
tf.keras.layers.Reshape
tf.keras.layers.SeparableConv1D
tf.keras.layers.SeparableConv2D
tf.keras.layers.SimpleRNN
tf.keras.layers.SimpleRNNCell
tf.keras.layers.Softmax
tf.keras.layers.SpatialDropout1D
tf.keras.layers.SpatialDropout2D
tf.keras.layers.SpatialDropout3D
tf.keras.layers.StackedRNNCells
tf.keras.layers.subtract
tf.keras.layers.ThresholdedReLU
tf.keras.layers.TimeDistributed
tf.keras.layers.UpSampling1D
tf.keras.layers.UpSampling2D
tf.keras.layers.UpSampling3D
tf.keras.layers.Wrapper
tf.keras.layers.ZeroPadding1D
tf.keras.layers.ZeroPadding2D
tf.keras.layers.ZeroPadding3D
tf.keras.layers.deserialize
tf.keras.layers.experimental.preprocessing.Normalization
tf.keras.layers.experimental.preprocessing.PreprocessingLayer
tf.keras.layers.experimental.preprocessing.TextVectorization
Module: tf.keras.layers.experimental.preprocessing
Module: tf.keras.layers.experimental
tf.keras.layers.serialize
Module: tf.keras.layers
tf.keras.losses.BinaryCrossentropy
tf.keras.losses.CategoricalCrossentropy
tf.keras.losses.CategoricalHinge
tf.keras.losses.CosineSimilarity
tf.keras.losses.hinge
tf.keras.losses.Huber
tf.keras.losses.KLD
tf.keras.losses.KLDivergence
tf.keras.losses.logcosh
tf.keras.losses.Loss
tf.keras.losses.MAE
tf.keras.losses.MAPE
tf.keras.losses.MSE
tf.keras.losses.MSLE
tf.keras.losses.MeanAbsoluteError
tf.keras.losses.MeanAbsolutePercentageError
tf.keras.losses.MeanSquaredError
tf.keras.losses.MeanSquaredLogarithmicError
tf.keras.losses.poisson
tf.keras.losses.Reduction
tf.keras.losses.SparseCategoricalCrossentropy
tf.keras.losses.SquaredHinge
tf.keras.losses.binary_crossentropy
tf.keras.losses.categorical_crossentropy
tf.keras.losses.categorical_hinge
tf.keras.losses.cosine_similarity
tf.keras.losses.deserialize
tf.keras.losses.get
tf.keras.losses.serialize
tf.keras.losses.sparse_categorical_crossentropy
tf.keras.losses.squared_hinge
Module: tf.keras.losses
tf.keras.metrics.AUC
tf.keras.metrics.Accuracy
tf.keras.metrics.BinaryAccuracy
tf.keras.metrics.BinaryCrossentropy
tf.keras.metrics.CategoricalAccuracy
tf.keras.metrics.CategoricalCrossentropy
tf.keras.metrics.CategoricalHinge
tf.keras.metrics.CosineSimilarity
tf.keras.metrics.FalseNegatives
tf.keras.metrics.FalsePositives
tf.keras.metrics.Hinge
tf.keras.metrics.KLDivergence
tf.keras.metrics.LogCoshError
tf.keras.metrics.Mean
tf.keras.metrics.MeanAbsoluteError
tf.keras.metrics.MeanAbsolutePercentageError
tf.keras.metrics.MeanIoU
tf.keras.metrics.MeanRelativeError
tf.keras.metrics.MeanSquaredError
tf.keras.metrics.MeanSquaredLogarithmicError
tf.keras.metrics.MeanTensor
tf.keras.metrics.Metric
tf.keras.metrics.Poisson
tf.keras.metrics.Precision
tf.keras.metrics.PrecisionAtRecall
tf.keras.metrics.Recall
tf.keras.metrics.RootMeanSquaredError
tf.keras.metrics.SensitivityAtSpecificity
tf.keras.metrics.SparseCategoricalAccuracy
tf.keras.metrics.SparseCategoricalCrossentropy
tf.keras.metrics.SparseTopKCategoricalAccuracy
tf.keras.metrics.SpecificityAtSensitivity
tf.keras.metrics.SquaredHinge
tf.keras.metrics.Sum
tf.keras.metrics.TopKCategoricalAccuracy
tf.keras.metrics.TrueNegatives
tf.keras.metrics.TruePositives
tf.keras.metrics.binary_accuracy
tf.keras.metrics.categorical_accuracy
tf.keras.metrics.deserialize
tf.keras.metrics.get
tf.keras.metrics.serialize
tf.keras.metrics.sparse_categorical_accuracy
tf.keras.metrics.sparse_top_k_categorical_accuracy
tf.keras.metrics.top_k_categorical_accuracy
Module: tf.keras.metrics
tf.keras.mixed_precision.experimental.LossScaleOptimizer
tf.keras.mixed_precision.experimental.Policy
tf.keras.mixed_precision.experimental.global_policy
tf.keras.mixed_precision.experimental.set_policy
Module: tf.keras.mixed_precision.experimental
Module: tf.keras.mixed_precision
tf.keras.models.clone_model
tf.keras.models.load_model
tf.keras.models.model_from_config
tf.keras.models.model_from_json
tf.keras.models.model_from_yaml
tf.keras.models.save_model
Module: tf.keras.models
tf.keras.optimizers.Adadelta
tf.keras.optimizers.Adagrad
tf.keras.optimizers.Adam
tf.keras.optimizers.Adamax
tf.keras.optimizers.Ftrl
tf.keras.optimizers.Nadam
tf.keras.optimizers.Optimizer
tf.keras.optimizers.RMSprop
tf.keras.optimizers.SGD
tf.keras.optimizers.deserialize
tf.keras.optimizers.get
tf.keras.optimizers.schedules.ExponentialDecay
tf.keras.optimizers.schedules.InverseTimeDecay
tf.keras.optimizers.schedules.LearningRateSchedule
tf.keras.optimizers.schedules.PiecewiseConstantDecay
tf.keras.optimizers.schedules.PolynomialDecay
tf.keras.optimizers.schedules.deserialize
tf.keras.optimizers.schedules.serialize
Module: tf.keras.optimizers.schedules
tf.keras.optimizers.serialize
Module: tf.keras.optimizers
tf.keras.preprocessing.image.DirectoryIterator
tf.keras.preprocessing.image.ImageDataGenerator
tf.keras.preprocessing.image.Iterator
tf.keras.preprocessing.image.NumpyArrayIterator
tf.keras.preprocessing.image.apply_affine_transform
tf.keras.preprocessing.image.apply_brightness_shift
tf.keras.preprocessing.image.apply_channel_shift
tf.keras.preprocessing.image.array_to_img
tf.keras.preprocessing.image.img_to_array
tf.keras.preprocessing.image.load_img
tf.keras.preprocessing.image.random_brightness
tf.keras.preprocessing.image.random_channel_shift
tf.keras.preprocessing.image.random_rotation
tf.keras.preprocessing.image.random_shear
tf.keras.preprocessing.image.random_shift
tf.keras.preprocessing.image.random_zoom
tf.keras.preprocessing.image.save_img
Module: tf.keras.preprocessing.image
tf.keras.preprocessing.sequence.TimeseriesGenerator
tf.keras.preprocessing.sequence.make_sampling_table
tf.keras.preprocessing.sequence.pad_sequences
tf.keras.preprocessing.sequence.skipgrams
Module: tf.keras.preprocessing.sequence
tf.keras.preprocessing.text.Tokenizer
tf.keras.preprocessing.text.hashing_trick
tf.keras.preprocessing.text.one_hot
tf.keras.preprocessing.text.text_to_word_sequence
tf.keras.preprocessing.text.tokenizer_from_json
Module: tf.keras.preprocessing.text
Module: tf.keras.preprocessing
tf.keras.regularizers.L1L2
tf.keras.regularizers.Regularizer
tf.keras.regularizers.deserialize
tf.keras.regularizers.get
tf.keras.regularizers.l1
tf.keras.regularizers.l1_l2
tf.keras.regularizers.l2
tf.keras.regularizers.serialize
Module: tf.keras.regularizers
tf.keras.utils.CustomObjectScope
tf.keras.utils.GeneratorEnqueuer
tf.keras.utils.HDF5Matrix
tf.keras.utils.OrderedEnqueuer
tf.keras.utils.Progbar
tf.keras.utils.Sequence
tf.keras.utils.SequenceEnqueuer
tf.keras.utils.convert_all_kernels_in_model
tf.keras.utils.custom_object_scope
tf.keras.utils.deserialize_keras_object
tf.keras.utils.get_custom_objects
tf.keras.utils.get_file
tf.keras.utils.get_source_inputs
tf.keras.utils.model_to_dot
tf.keras.utils.multi_gpu_model
tf.keras.utils.normalize
tf.keras.utils.plot_model
tf.keras.utils.register_keras_serializable
tf.keras.utils.serialize_keras_object
tf.keras.utils.to_categorical
Module: tf.keras.utils
tf.keras.wrappers.scikit_learn.KerasClassifier
tf.keras.wrappers.scikit_learn.KerasRegressor
Module: tf.keras.wrappers.scikit_learn
Module: tf.keras.wrappers
Module: tf.keras
tf.linalg.LinearOperator
tf.linalg.LinearOperatorAdjoint
tf.linalg.LinearOperatorBlockDiag
tf.linalg.LinearOperatorCirculant
tf.linalg.LinearOperatorCirculant2D
tf.linalg.LinearOperatorCirculant3D
tf.linalg.LinearOperatorComposition
tf.linalg.LinearOperatorDiag
tf.linalg.LinearOperatorFullMatrix
tf.linalg.LinearOperatorHouseholder
tf.linalg.LinearOperatorIdentity
tf.linalg.LinearOperatorInversion
tf.linalg.LinearOperatorKronecker
tf.linalg.LinearOperatorLowRankUpdate
tf.linalg.LinearOperatorLowerTriangular
tf.linalg.LinearOperatorPermutation
tf.linalg.LinearOperatorScaledIdentity
tf.linalg.LinearOperatorToeplitz
tf.linalg.LinearOperatorZeros
tf.linalg.adjoint
tf.linalg.band_part
tf.linalg.cholesky
tf.linalg.cholesky_solve
tf.linalg.cross
tf.linalg.det
tf.linalg.diag
tf.linalg.diag_part
tf.linalg.eigh
tf.linalg.eigvalsh
tf.linalg.expm
tf.linalg.global_norm
tf.linalg.inv
tf.linalg.logdet
tf.linalg.logm
tf.linalg.lstsq
tf.linalg.lu
tf.linalg.lu_matrix_inverse
tf.linalg.lu_reconstruct
tf.linalg.lu_solve
tf.linalg.matmul
tf.linalg.matrix_rank
tf.linalg.matrix_transpose
tf.linalg.matvec
tf.linalg.normalize
tf.linalg.pinv
tf.linalg.qr
tf.linalg.set_diag
tf.linalg.slogdet
tf.linalg.solve
tf.linalg.sqrtm
tf.linalg.svd
tf.linalg.tensor_diag
tf.linalg.tensor_diag_part
tf.linalg.trace
tf.linalg.triangular_solve
tf.linalg.tridiagonal_matmul
tf.linalg.tridiagonal_solve
Module: tf.linalg
tf.linspace
tf.lite.Interpreter
tf.lite.OpsSet
tf.lite.Optimize
tf.lite.RepresentativeDataset
tf.lite.TFLiteConverter
tf.lite.TargetSpec
tf.lite.experimental.load_delegate
Module: tf.lite.experimental
Module: tf.lite
tf.load_library
tf.load_op_library
tf.lookup.KeyValueTensorInitializer
tf.lookup.StaticHashTable
tf.lookup.StaticVocabularyTable
tf.lookup.TextFileIndex
tf.lookup.TextFileInitializer
tf.lookup.experimental.DenseHashTable
Module: tf.lookup.experimental
Module: tf.lookup
tf.make_ndarray
tf.make_tensor_proto
tf.map_fn
tf.math.abs
tf.math.accumulate_n
tf.math.acos
tf.math.acosh
tf.math.add
tf.math.add_n
tf.math.angle
tf.math.argmax
tf.math.argmin
tf.math.asin
tf.math.asinh
tf.math.atan
tf.math.atan2
tf.math.atanh
tf.math.bessel_i0
tf.math.bessel_i0e
tf.math.bessel_i1
tf.math.bessel_i1e
tf.math.betainc
tf.math.bincount
tf.math.ceil
tf.math.confusion_matrix
tf.math.conj
tf.math.cos
tf.math.cosh
tf.math.count_nonzero
tf.math.cumprod
tf.math.cumsum
tf.math.cumulative_logsumexp
tf.math.digamma
tf.math.divide
tf.math.divide_no_nan
tf.math.equal
tf.math.erf
tf.math.erfc
tf.math.erfinv
tf.math.exp
tf.math.expm1
tf.math.floor
tf.math.floordiv
tf.math.floormod
tf.math.greater
tf.math.greater_equal
tf.math.igamma
tf.math.igammac
tf.math.imag
tf.math.in_top_k
tf.math.invert_permutation
tf.math.is_finite
tf.math.is_inf
tf.math.is_nan
tf.math.is_non_decreasing
tf.math.is_strictly_increasing
tf.math.l2_normalize
tf.math.lbeta
tf.math.less
tf.math.less_equal
tf.math.lgamma
tf.math.log
tf.math.log1p
tf.math.log_sigmoid
tf.math.logical_and
tf.math.logical_not
tf.math.logical_or
tf.math.logical_xor
tf.math.maximum
tf.math.minimum
tf.math.multiply
tf.math.multiply_no_nan
tf.math.ndtri
tf.math.negative
tf.math.nextafter
tf.math.not_equal
tf.math.polygamma
tf.math.polyval
tf.math.pow
tf.math.real
tf.math.reciprocal
tf.math.reciprocal_no_nan
tf.math.reduce_any
tf.math.reduce_euclidean_norm
tf.math.reduce_logsumexp
tf.math.reduce_max
tf.math.reduce_mean
tf.math.reduce_min
tf.math.reduce_prod
tf.math.reduce_std
tf.math.reduce_sum
tf.math.reduce_variance
tf.math.rint
tf.math.round
tf.math.rsqrt
tf.math.scalar_mul
tf.math.segment_max
tf.math.segment_mean
tf.math.segment_min
tf.math.segment_prod
tf.math.segment_sum
tf.math.sigmoid
tf.math.sign
tf.math.sin
tf.math.sinh
tf.math.softplus
tf.math.sqrt
tf.math.square
tf.math.squared_difference
tf.math.subtract
tf.math.tan
tf.math.tanh
tf.math.top_k
tf.math.truediv
tf.math.unsorted_segment_max
tf.math.unsorted_segment_mean
tf.math.unsorted_segment_min
tf.math.unsorted_segment_prod
tf.math.unsorted_segment_sqrt_n
tf.math.unsorted_segment_sum
tf.math.xdivy
tf.math.xlogy
tf.math.zero_fraction
tf.math.zeta
Module: tf.math
tf.meshgrid
tf.mixed_precision.experimental.DynamicLossScale
tf.mixed_precision.experimental.FixedLossScale
tf.mixed_precision.experimental.LossScale
Module: tf.mixed_precision.experimental
Module: tf.mixed_precision
tf.mlir.experimental.convert_graph_def
Module: tf.mlir.experimental
Module: tf.mlir
tf.name_scope
tf.nest.assert_same_structure
tf.nest.flatten
tf.nest.is_nested
tf.nest.map_structure
tf.nest.pack_sequence_as
Module: tf.nest
tf.nn.RNNCellDeviceWrapper
tf.nn.RNNCellDropoutWrapper
tf.nn.RNNCellResidualWrapper
tf.nn.atrous_conv2d
tf.nn.atrous_conv2d_transpose
tf.nn.avg_pool
tf.nn.avg_pool1d
tf.nn.avg_pool2d
tf.nn.avg_pool3d
tf.nn.batch_norm_with_global_normalization
tf.nn.batch_normalization
tf.nn.bias_add
tf.nn.collapse_repeated
tf.nn.compute_accidental_hits
tf.nn.compute_average_loss
tf.nn.conv1d
tf.nn.conv1d_transpose
tf.nn.conv2d
tf.nn.conv2d_transpose
tf.nn.conv3d
tf.nn.conv3d_transpose
tf.nn.conv_transpose
tf.nn.convolution
tf.nn.crelu
tf.nn.ctc_beam_search_decoder
tf.nn.ctc_greedy_decoder
tf.nn.ctc_loss
tf.nn.ctc_unique_labels
tf.nn.depth_to_space
tf.nn.depthwise_conv2d
tf.nn.depthwise_conv2d_backprop_filter
tf.nn.depthwise_conv2d_backprop_input
tf.nn.dilation2d
tf.nn.dropout
tf.nn.elu
tf.nn.embedding_lookup
tf.nn.embedding_lookup_sparse
tf.nn.erosion2d
tf.nn.fractional_avg_pool
tf.nn.fractional_max_pool
tf.nn.l2_loss
tf.nn.leaky_relu
tf.nn.local_response_normalization
tf.nn.log_poisson_loss
tf.nn.log_softmax
tf.nn.max_pool
tf.nn.max_pool1d
tf.nn.max_pool2d
tf.nn.max_pool3d
tf.nn.max_pool_with_argmax
tf.nn.moments
tf.nn.nce_loss
tf.nn.normalize_moments
tf.nn.pool
tf.nn.relu
tf.nn.relu6
tf.nn.safe_embedding_lookup_sparse
tf.nn.sampled_softmax_loss
tf.nn.scale_regularization_loss
tf.nn.selu
tf.nn.separable_conv2d
tf.nn.sigmoid_cross_entropy_with_logits
tf.nn.softmax
tf.nn.softmax_cross_entropy_with_logits
tf.nn.softsign
tf.nn.space_to_depth
tf.nn.sparse_softmax_cross_entropy_with_logits
tf.nn.sufficient_statistics
tf.nn.swish
tf.nn.weighted_cross_entropy_with_logits
tf.nn.weighted_moments
tf.nn.with_space_to_batch
Module: tf.nn
tf.no_gradient
tf.no_op
tf.nondifferentiable_batch_function
tf.norm
tf.numpy_function
tf.one_hot
tf.ones
tf.ones_initializer
tf.ones_like
tf.pad
tf.parallel_stack
tf.print
tf.py_function
tf.quantization.dequantize
tf.quantization.fake_quant_with_min_max_args
tf.quantization.fake_quant_with_min_max_args_gradient
tf.quantization.fake_quant_with_min_max_vars
tf.quantization.fake_quant_with_min_max_vars_gradient
tf.quantization.fake_quant_with_min_max_vars_per_channel
tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient
tf.quantization.quantize
tf.quantization.quantize_and_dequantize
tf.quantization.quantized_concat
Module: tf.quantization
tf.queue.FIFOQueue
tf.queue.PaddingFIFOQueue
tf.queue.PriorityQueue
tf.queue.QueueBase
tf.queue.RandomShuffleQueue
Module: tf.queue
tf.ragged.boolean_mask
tf.ragged.constant
tf.ragged.map_flat_values
tf.ragged.range
tf.ragged.row_splits_to_segment_ids
tf.ragged.segment_ids_to_row_splits
tf.ragged.stack
tf.ragged.stack_dynamic_partitions
Module: tf.ragged
tf.random.all_candidate_sampler
tf.random.categorical
tf.random.experimental.Generator
tf.random.experimental.create_rng_state
tf.random.experimental.get_global_generator
tf.random.experimental.set_global_generator
Module: tf.random.experimental
tf.random.fixed_unigram_candidate_sampler
tf.random.gamma
tf.random.learned_unigram_candidate_sampler
tf.random.log_uniform_candidate_sampler
tf.random.normal
tf.random.poisson
tf.random.set_seed
tf.random.shuffle
tf.random.stateless_categorical
tf.random.stateless_normal
tf.random.stateless_truncated_normal
tf.random.stateless_uniform
tf.random.truncated_normal
tf.random.uniform
tf.random.uniform_candidate_sampler
Module: tf.random
tf.random_normal_initializer
tf.random_uniform_initializer
tf.range
tf.rank
Module: tf.raw_ops
tf.realdiv
tf.recompute_grad
tf.reduce_all
tf.register_tensor_conversion_function
tf.repeat
tf.required_space_to_batch_paddings
tf.reshape
tf.reverse
tf.reverse_sequence
tf.roll
tf.saved_model.Asset
tf.saved_model.SaveOptions
tf.saved_model.contains_saved_model
tf.saved_model.load
tf.saved_model.save
Module: tf.saved_model
tf.scan
tf.scatter_nd
tf.searchsorted
tf.sequence_mask
tf.sets.difference
tf.sets.intersection
tf.sets.size
tf.sets.union
Module: tf.sets
tf.shape
tf.shape_n
tf.signal.dct
tf.signal.fft
tf.signal.fft2d
tf.signal.fft3d
tf.signal.fftshift
tf.signal.frame
tf.signal.hamming_window
tf.signal.hann_window
tf.signal.idct
tf.signal.ifft
tf.signal.ifft2d
tf.signal.ifft3d
tf.signal.ifftshift
tf.signal.inverse_stft
tf.signal.inverse_stft_window_fn
tf.signal.irfft
tf.signal.irfft2d
tf.signal.irfft3d
tf.signal.linear_to_mel_weight_matrix
tf.signal.mfccs_from_log_mel_spectrograms
tf.signal.overlap_and_add
tf.signal.rfft
tf.signal.rfft2d
tf.signal.rfft3d
tf.signal.stft
Module: tf.signal
tf.size
tf.slice
tf.sort
tf.space_to_batch
tf.space_to_batch_nd
tf.sparse.SparseTensor
tf.sparse.add
tf.sparse.concat
tf.sparse.cross
tf.sparse.cross_hashed
tf.sparse.expand_dims
tf.sparse.eye
tf.sparse.fill_empty_rows
tf.sparse.from_dense
tf.sparse.mask
tf.sparse.maximum
tf.sparse.minimum
tf.sparse.reduce_max
tf.sparse.reduce_sum
tf.sparse.reorder
tf.sparse.reset_shape
tf.sparse.reshape
tf.sparse.retain
tf.sparse.segment_mean
tf.sparse.segment_sqrt_n
tf.sparse.segment_sum
tf.sparse.slice
tf.sparse.softmax
tf.sparse.sparse_dense_matmul
tf.sparse.split
tf.sparse.to_dense
tf.sparse.to_indicator
tf.sparse.transpose
Module: tf.sparse
tf.split
tf.squeeze
tf.stack
tf.stop_gradient
tf.strided_slice
tf.strings.as_string
tf.strings.bytes_split
tf.strings.format
tf.strings.join
tf.strings.length
tf.strings.lower
tf.strings.ngrams
tf.strings.reduce_join
tf.strings.regex_full_match
tf.strings.regex_replace
tf.strings.split
tf.strings.strip
tf.strings.substr
tf.strings.to_hash_bucket
tf.strings.to_hash_bucket_fast
tf.strings.to_hash_bucket_strong
tf.strings.to_number
tf.strings.unicode_decode
tf.strings.unicode_decode_with_offsets
tf.strings.unicode_encode
tf.strings.unicode_script
tf.strings.unicode_split
tf.strings.unicode_split_with_offsets
tf.strings.unicode_transcode
tf.strings.unsorted_segment_join
tf.strings.upper
Module: tf.strings
tf.summary.SummaryWriter
tf.summary.audio
tf.summary.create_file_writer
tf.summary.create_noop_writer
tf.summary.experimental.get_step
tf.summary.experimental.set_step
tf.summary.experimental.summary_scope
tf.summary.experimental.write_raw_pb
Module: tf.summary.experimental
tf.summary.flush
tf.summary.histogram
tf.summary.image
tf.summary.record_if
tf.summary.scalar
tf.summary.text
tf.summary.trace_export
tf.summary.trace_off
tf.summary.trace_on
tf.summary.write
Module: tf.summary
tf.switch_case
tf.sysconfig.get_compile_flags
tf.sysconfig.get_include
tf.sysconfig.get_lib
tf.sysconfig.get_link_flags
Module: tf.sysconfig
tf.tensor_scatter_nd_add
tf.tensor_scatter_nd_sub
tf.tensor_scatter_nd_update
tf.tensordot
tf.test.Benchmark
tf.test.TestCase.failureException
tf.test.TestCase
tf.test.assert_equal_graph_def
tf.test.benchmark_config
tf.test.compute_gradient
tf.test.create_local_cluster
tf.test.gpu_device_name
tf.test.is_built_with_cuda
tf.test.is_built_with_gpu_support
tf.test.is_built_with_rocm
tf.test.is_gpu_available
tf.test.main
Module: tf.test
tf.tile
tf.timestamp
tf.tpu.experimental.DeviceAssignment
tf.tpu.experimental.initialize_tpu_system
tf.tpu.experimental.shutdown_tpu_system
Module: tf.tpu.experimental
Module: tf.tpu
tf.train.BytesList
tf.train.Checkpoint
tf.train.CheckpointManager
tf.train.ClusterDef
tf.train.ClusterSpec
tf.train.Coordinator
tf.train.Example
tf.train.ExponentialMovingAverage
tf.train.Feature
tf.train.FeatureList
tf.train.FeatureLists.FeatureListEntry
tf.train.FeatureLists
tf.train.Features.FeatureEntry
tf.train.Features
tf.train.FloatList
tf.train.Int64List
tf.train.JobDef.TasksEntry
tf.train.JobDef
tf.train.SequenceExample
tf.train.ServerDef
tf.train.checkpoints_iterator
tf.train.experimental.PythonState
tf.train.experimental.disable_mixed_precision_graph_rewrite
tf.train.experimental.enable_mixed_precision_graph_rewrite
Module: tf.train.experimental
tf.train.get_checkpoint_state
tf.train.latest_checkpoint
tf.train.list_variables
tf.train.load_checkpoint
tf.train.load_variable
Module: tf.train
tf.transpose
tf.truncatediv
tf.truncatemod
tf.tuple
tf.unique
tf.unique_with_counts
tf.unravel_index
tf.unstack
tf.variable_creator_scope
tf.vectorized_map
Module: tf.version
tf.where
tf.while_loop
tf.xla.experimental.compile
tf.xla.experimental.jit_scope
Module: tf.xla.experimental
Module: tf.xla
tf.zeros
tf.zeros_initializer
tf.zeros_like
Method
execute
__eq__
from_string
make_merged_spec
parse_from_string
replace
to_string
__enter__
__exit__
batch_jacobian
gradient
jacobian
reset
stop_recording
watch
watched_variables
add_to_collection
add_to_collections
as_default
as_graph_def
as_graph_element
clear_collection
colocate_with
container
control_dependencies
create_op
device
finalize
get_all_collection_keys
get_collection
get_collection_ref
get_name_scope
get_operation_by_name
get_operations
get_tensor_by_name
gradient_override_map
is_feedable
is_fetchable
name_scope
prevent_feeding
prevent_fetching
switch_to_thread_local
unique_name
__neg__
consumers
__eq__
__ne__
is_compatible_with
most_specific_compatible_type
with_name_scope
colocation_groups
get_attr
run
values
__eq__
__ne__
from_value
is_compatible_with
most_specific_compatible_type
__abs__
__add__
__and__
__bool__
__div__
__floordiv__
__ge__
__getitem__
__gt__
__invert__
__le__
__lt__
__mod__
__mul__
__neg__
__nonzero__
__or__
__pow__
__radd__
__rand__
__rdiv__
__rfloordiv__
__rmod__
__rmul__
__ror__
__rpow__
__rsub__
__rtruediv__
__rxor__
__sub__
__truediv__
__xor__
bounding_shape
consumers
from_nested_row_lengths
from_nested_row_splits
from_nested_value_rowids
from_row_lengths
from_row_limits
from_row_splits
from_row_starts
from_sparse
from_tensor
from_uniform_row_length
from_value_rowids
merge_dims
nested_row_lengths
nested_value_rowids
nrows
row_lengths
row_limits
row_starts
to_list
to_sparse
to_tensor
value_rowids
with_flat_values
with_row_splits_dtype
with_values
__eq__
__ne__
from_value
is_compatible_with
most_specific_compatible_type
__call__
__eq__
__ne__
from_value
is_compatible_with
most_specific_compatible_type
__abs__
__add__
__and__
__bool__
__div__
__eq__
__floordiv__
__ge__
__getitem__
__gt__
__invert__
__iter__
__le__
__len__
__lt__
__matmul__
__mod__
__mul__
__ne__
__neg__
__nonzero__
__or__
__pow__
__radd__
__rand__
__rdiv__
__rfloordiv__
__rmatmul__
__rmod__
__rmul__
__ror__
__rpow__
__rsub__
__rtruediv__
__rxor__
__sub__
__truediv__
__xor__
consumers
eval
experimental_ref
get_shape
set_shape
close
concat
gather
grad
identity
read
scatter
size
split
stack
unstack
write
__eq__
__ne__
from_value
is_compatible_with
most_specific_compatible_type
__add__
__bool__
__concat__
__eq__
__getitem__
__iter__
__len__
__ne__
__nonzero__
__radd__
as_list
as_proto
assert_has_rank
assert_is_compatible_with
assert_is_fully_defined
assert_same_rank
concatenate
is_compatible_with
is_fully_defined
merge_with
most_specific_compatible_shape
num_elements
with_rank
with_rank_at_least
with_rank_at_most
__eq__
__ne__
from_spec
from_tensor
is_compatible_with
most_specific_compatible_type
__eq__
__ne__
is_compatible_with
most_specific_compatible_type
to_proto
__abs__
__add__
__and__
__div__
__eq__
__floordiv__
__ge__
__getitem__
__gt__
__invert__
__iter__
__le__
__lt__
__matmul__
__mod__
__mul__
__ne__
__neg__
__or__
__pow__
__radd__
__rand__
__rdiv__
__rfloordiv__
__rmatmul__
__rmod__
__rmul__
__ror__
__rpow__
__rsub__
__rtruediv__
__rxor__
__sub__
__truediv__
__xor__
assign
assign_add
assign_sub
batch_scatter_update
count_up_to
eval
experimental_ref
from_proto
gather_nd
get_shape
initialized_value
load
read_value
scatter_add
scatter_div
scatter_max
scatter_min
scatter_mul
scatter_nd_add
scatter_nd_sub
scatter_nd_update
scatter_sub
scatter_update
set_shape
sparse_read
to_proto
value
__enter__
__exit__
jvp
apply_grad
num_accumulated
set_global_step
take_grad
num_accumulated
set_global_step
__eq__
from_string
make_merged_spec
merge_from
parse_from_string
replace
to_string
__add__
__div__
__eq__
__floordiv__
__ge__
__gt__
__le__
__lt__
__mod__
__mul__
__ne__
__radd__
__rdiv__
__rfloordiv__
__rmod__
__rmul__
__rsub__
__rtruediv__
__sub__
__truediv__
assert_is_compatible_with
is_compatible_with
merge_with
num_records_produced
num_work_units_completed
read
read_up_to
reset
restore_state
serialize_state
num_records_produced
num_work_units_completed
read
read_up_to
reset
restore_state
serialize_state
as_default
close
list_devices
make_callable
partial_run
partial_run_setup
run
num_records_produced
num_work_units_completed
read
read_up_to
reset
restore_state
serialize_state
num_records_produced
num_work_units_completed
read
read_up_to
reset
restore_state
serialize_state
__enter__
__exit__
as_default
close
list_devices
make_callable
partial_run
partial_run_setup
reset
run
apply_grad
apply_indexed_slices_grad
num_accumulated
set_global_step
take_grad
take_indexed_slices_grad
num_records_produced
num_work_units_completed
read
read_up_to
reset
restore_state
serialize_state
num_records_produced
num_work_units_completed
read
read_up_to
reset
restore_state
serialize_state
__abs__
__add__
__and__
__div__
__eq__
__floordiv__
__ge__
__getitem__
__gt__
__invert__
__iter__
__le__
__lt__
__matmul__
__mod__
__mul__
__ne__
__neg__
__or__
__pow__
__radd__
__rand__
__rdiv__
__rfloordiv__
__rmatmul__
__rmod__
__rmul__
__ror__
__rpow__
__rsub__
__rtruediv__
__rxor__
__sub__
__truediv__
__xor__
assign
assign_add
assign_sub
batch_scatter_update
count_up_to
eval
experimental_ref
from_proto
gather_nd
get_shape
initialized_value
load
read_value
scatter_add
scatter_div
scatter_max
scatter_min
scatter_mul
scatter_nd_add
scatter_nd_sub
scatter_nd_update
scatter_sub
scatter_update
set_shape
sparse_read
to_proto
value
get_collection
get_variable
global_variables
local_variables
reuse_variables
set_caching_device
set_custom_getter
set_dtype
set_initializer
set_partitioner
set_regularizer
set_use_resource
trainable_variables
num_records_produced
num_work_units_completed
read
read_up_to
reset
restore_state
serialize_state
__iter__
apply
as_numpy_iterator
batch
cache
concatenate
enumerate
filter
filter_with_legacy_function
flat_map
from_generator
from_sparse_tensor_slices
from_tensor_slices
from_tensors
interleave
list_files
make_initializable_iterator
make_one_shot_iterator
map
map_with_legacy_function
options
padded_batch
prefetch
range
reduce
repeat
shard
shuffle
skip
take
unbatch
window
with_options
zip
__iter__
apply
as_numpy_iterator
batch
cache
concatenate
enumerate
filter
filter_with_legacy_function
flat_map
from_generator
from_sparse_tensor_slices
from_tensor_slices
from_tensors
interleave
list_files
make_initializable_iterator
make_one_shot_iterator
map
map_with_legacy_function
options
padded_batch
prefetch
range
reduce
repeat
shard
shuffle
skip
take
unbatch
window
with_options
zip
from_string_handle
from_structure
get_next
make_initializer
string_handle
__iter__
apply
as_numpy_iterator
batch
cache
concatenate
enumerate
filter
filter_with_legacy_function
flat_map
from_generator
from_sparse_tensor_slices
from_tensor_slices
from_tensors
interleave
list_files
make_initializable_iterator
make_one_shot_iterator
map
map_with_legacy_function
options
padded_batch
prefetch
range
reduce
repeat
shard
shuffle
skip
take
unbatch
window
with_options
zip
__iter__
apply
as_numpy_iterator
batch
cache
concatenate
enumerate
filter
filter_with_legacy_function
flat_map
from_generator
from_sparse_tensor_slices
from_tensor_slices
from_tensors
interleave
list_files
make_initializable_iterator
make_one_shot_iterator
map
map_with_legacy_function
options
padded_batch
prefetch
range
reduce
repeat
shard
shuffle
skip
take
unbatch
window
with_options
zip
__iter__
apply
as_numpy_iterator
batch
cache
concatenate
enumerate
filter
filter_with_legacy_function
flat_map
from_generator
from_sparse_tensor_slices
from_tensor_slices
from_tensors
interleave
list_files
make_initializable_iterator
make_one_shot_iterator
map
map_with_legacy_function
options
padded_batch
prefetch
range
reduce
repeat
shard
shuffle
skip
take
unbatch
window
with_options
zip
__iter__
apply
as_numpy_iterator
batch
cache
concatenate
enumerate
filter
filter_with_legacy_function
flat_map
from_generator
from_sparse_tensor_slices
from_tensor_slices
from_tensors
interleave
list_files
make_initializable_iterator
make_one_shot_iterator
map
map_with_legacy_function
options
padded_batch
prefetch
range
reduce
repeat
shard
shuffle
skip
take
unbatch
window
with_options
zip
__iter__
apply
as_numpy_iterator
batch
cache
concatenate
enumerate
filter
filter_with_legacy_function
flat_map
from_generator
from_sparse_tensor_slices
from_tensor_slices
from_tensors
interleave
list_files
make_initializable_iterator
make_one_shot_iterator
map
map_with_legacy_function
options
padded_batch
prefetch
range
reduce
repeat
shard
shuffle
skip
take
unbatch
window
with_options
zip
get_summary
experimental_distribute_dataset
experimental_distribute_datasets_from_function
experimental_local_results
experimental_make_numpy_dataset
experimental_run
experimental_run_v2
make_dataset_iterator
make_input_fn_iterator
reduce
scope
update_config_proto
experimental_distribute_dataset
experimental_distribute_datasets_from_function
experimental_local_results
experimental_make_numpy_dataset
experimental_run
experimental_run_v2
make_dataset_iterator
make_input_fn_iterator
reduce
scope
update_config_proto
experimental_distribute_dataset
experimental_distribute_datasets_from_function
experimental_local_results
experimental_make_numpy_dataset
experimental_run
experimental_run_v2
make_dataset_iterator
make_input_fn_iterator
reduce
scope
update_config_proto
batch_reduce_to
broadcast_to
call_for_each_replica
colocate_vars_with
experimental_make_numpy_dataset
experimental_run_steps_on_iterator
non_slot_devices
read_var
reduce_to
update
update_non_slot
value_container
variable_created_in_scope
experimental_distribute_dataset
experimental_distribute_datasets_from_function
experimental_local_results
experimental_make_numpy_dataset
experimental_run
experimental_run_v2
make_dataset_iterator
make_input_fn_iterator
reduce
scope
update_config_proto
experimental_distribute_dataset
experimental_distribute_datasets_from_function
experimental_local_results
experimental_make_numpy_dataset
experimental_run
experimental_run_v2
make_dataset_iterator
make_input_fn_iterator
reduce
scope
update_config_proto
experimental_distribute_datasets_from_function
experimental_local_results
experimental_make_numpy_dataset
experimental_run
experimental_run_v2
make_dataset_iterator
make_input_fn_iterator
reduce
scope
update_config_proto
experimental_distribute_dataset
experimental_distribute_datasets_from_function
experimental_local_results
experimental_make_numpy_dataset
experimental_run
experimental_run_v2
make_dataset_iterator
make_input_fn_iterator
reduce
scope
update_config_proto
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
sample
stddev
survival_function
variance
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
sample
stddev
survival_function
variance
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
sample
stddev
survival_function
variance
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
sample
stddev
survival_function
variance
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
sample
stddev
survival_function
variance
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
sample
stddev
survival_function
variance
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
sample
stddev
survival_function
variance
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
sample
stddev
survival_function
variance
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
sample
stddev
survival_function
variance
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
sample
stddev
survival_function
variance
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
sample
stddev
survival_function
variance
__call__
__eq__
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
sample
stddev
survival_function
variance
batch_shape_tensor
cdf
copy
covariance
cross_entropy
entropy
event_shape_tensor
is_scalar_batch
is_scalar_event
kl_divergence
log_cdf
log_prob
log_survival_function
mean
mode
param_shapes
param_static_shapes
prob
quantile
range
sample
stddev
survival_function
variance
__enter__
__exit__
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
cluster_centers
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
predict_cluster_index
score
train
transform
replace
eval_dir
evaluate
experimental_export_all_saved_models
export_saved_model
export_savedmodel
get_variable_names
get_variable_value
latest_checkpoint
predict
train
as_estimator_spec
flag_type
parse
serialize
flag_type
parse
__eq__
__ge__
__gt__
__le__
__lt__
flag_type
parse
serialize
unparse
flag_type
parse
serialize
from_flag
__eq__
__ge__
__gt__
__le__
__lt__
flag_type
parse
serialize
unparse
flag_type
parse
__eq__
__ge__
__gt__
__le__
__lt__
flag_type
parse
serialize
unparse
flag_type
parse
__eq__
__ge__
__gt__
__le__
__lt__
flag_type
parse
serialize
unparse
__call__
__contains__
__getitem__
__iter__
__len__
append_flag_values
append_flags_into_file
find_module_defining_flag
find_module_id_defining_flag
flag_values_dict
flags_by_module_dict
flags_by_module_id_dict
flags_into_string
get_flag_value
get_help
get_key_flags_for_module
is_gnu_getopt
is_parsed
key_flags_by_module_dict
main_module_help
mark_as_parsed
module_help
read_flags_from_files
register_flag_by_module
register_flag_by_module_id
register_key_flag_for_module
remove_flag_values
set_default
set_gnu_getopt
unparse_flags
write_help_in_xml_format
convert
flag_type
is_outside_bounds
parse
convert
flag_type
is_outside_bounds
parse
flag_type
parse
serialize
__eq__
__ge__
__gt__
__le__
__lt__
flag_type
parse
serialize
unparse
__eq__
__ge__
__gt__
__le__
__lt__
flag_type
parse
serialize
unparse
flag_type
parse
__call__
__enter__
__exit__
get_filtered_filenames
reset
__enter__
__exit__
get_filtered_filenames
reset
__enter__
__exit__
get_effective_source_map
reset
__enter__
__exit__
reset
__enter__
__exit__
__iter__
close
flush
next
read
readline
readlines
seek
seekable
size
tell
write
__enter__
__exit__
set_model
set_params
__call__
from_config
get_config
__call__
from_config
get_config
__call__
from_config
get_config
__call__
from_config
get_config
__call__
from_config
get_config
__call__
from_config
get_config
__call__
from_config
get_config
__call__
from_config
get_config
__call__
from_config
get_config
__call__
from_config
get_config
__call__
from_config
get_config
__call__
from_config
get_config
reset_states
reset_states
reset_states
get_dropout_mask_for_cell
get_initial_state
get_recurrent_dropout_mask_for_cell
reset_dropout_mask
reset_recurrent_dropout_mask
reset_states
get_dropout_mask_for_cell
get_initial_state
get_recurrent_dropout_mask_for_cell
reset_dropout_mask
reset_recurrent_dropout_mask
adapt
adapt
get_vocabulary
set_vocabulary
add
add_input
add_inputs
add_output
add_outputs
convert
from_frozen_graph
from_keras_model_file
from_saved_model
from_session
get_input_arrays
from_frozen_graph
from_keras_model_file
from_saved_model
from_session
get_initial_state
zero_state
get_initial_state
zero_state
export
lookup
size
lookup
size
all
validate
get_initial_state
zero_state
get_initial_state
zero_state
get_initial_state
zero_state
get_initial_state
zero_state
get_initial_state
zero_state
get_initial_state
zero_state
get_initial_state
zero_state
get_initial_state
zero_state
get_initial_state
zero_state
account_displayed_op_only
build
float_operation
order_by
select
time_and_memory
trainable_variables_parameter
with_accounted_types
with_empty_output
with_file_output
with_max_depth
with_min_execution_time
with_min_float_operations
with_min_memory
with_min_occurrence
with_min_parameters
with_node_names
with_pprof_output
with_stdout_output
with_step
with_timeline_output
add_step
advise
profile_graph
profile_name_scope
profile_operations
profile_python
serialize_to_string
to_list
__call__
from_config
get_config
__call__
from_config
get_config
__enter__
__exit__
add_event
add_graph
add_meta_graph
add_run_metadata
add_session_log
add_summary
close
flush
get_logdir
reopen
clear
get
CleanUp
Set
SmartSet
SmartUnsetAll
UnsetAll
__enter__
__exit__
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
restore
save
write
create_session
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
getName
isAlive
isDaemon
is_alive
join
loop
run
run_loop
setDaemon
setName
start
start_loop
stop_loop
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
request_stop
run_with_hooks
__enter__
__exit__
close
run
run_step_fn
should_stop
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
create_threads
from_proto
to_proto
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
as_saver_def
build
export_meta_graph
from_proto
recover_last_checkpoints
restore
save
set_last_checkpoints
set_last_checkpoints_with_time
to_proto
default_local_init_op
finalize
get_or_default
create_session
prepare_session
recover_session
wait_for_session
__enter__
__exit__
close
raw_session
run
run_step_fn
should_stop
Loop
PrepareSession
RequestStop
ShouldStop
StartQueueRunners
StartStandardServices
Stop
StopOnException
SummaryComputed
WaitForStop
loop
managed_session
prepare_or_wait_for_session
request_stop
should_stop
start_queue_runners
start_standard_services
stop
stop_on_exception
summary_computed
wait_for_stop
apply_gradients
compute_gradients
get_chief_queue_runner
get_init_tokens_op
get_name
get_slot
get_slot_names
make_session_run_hook
minimize
variables
create_session
apply_gradients
compute_gradients
get_name
get_slot
get_slot_names
minimize
variables
__call__
from_config
get_config
__call__
from_config
get_config
__enter__
__exit__
__call__
from_config
get_config
__iter__
apply
as_numpy_iterator
batch
cache
concatenate
enumerate
filter
flat_map
from_generator
from_tensor_slices
from_tensors
interleave
list_files
map
options
padded_batch
prefetch
range
reduce
repeat
shard
shuffle
skip
take
unbatch
window
with_options
zip
__eq__
__ne__
from_value
is_compatible_with
most_specific_compatible_type
__iter__
apply
as_numpy_iterator
batch
cache
concatenate
enumerate
filter
flat_map
from_generator
from_tensor_slices
from_tensors
interleave
list_files
map
options
padded_batch
prefetch
range
reduce
repeat
shard
shuffle
skip
take
unbatch
window
with_options
zip
Module
Function
Method
Module(362)
Function(2669)
Method(3744)