Files
| File Name |
| Name | TensorFlow |
| Version | |
| Badge |
|
| Last Updated | 2020-11-18T19:53:06Z |
Table of Contents
-
tf
- tf.AggregationMethod
- tf.argsort
- tf.batch_to_space
- tf.bitcast
- 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.concat
- tf.cond
- tf.constant
- tf.constant_initializer
- tf.control_dependencies
- tf.convert_to_tensor
- tf.CriticalSection
- tf.custom_gradient
- tf.device
- tf.DeviceSpec
- tf.dynamic_partition
- tf.dynamic_stitch
- tf.edit_distance
- tf.einsum
- tf.ensure_shape
- tf.executing_eagerly
- tf.expand_dims
- tf.extract_volume_patches
- tf.eye
- 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.GradientTape
- tf.Graph
- tf.group
- tf.guarantee_const
- tf.hessians
- tf.histogram_fixed_width
- tf.histogram_fixed_width_bins
- tf.identity
- tf.identity_n
- tf.IndexedSlices
- tf.IndexedSlicesSpec
- tf.init_scope
- tf.is_tensor
- tf.linspace
- tf.load_library
- tf.load_op_library
- tf.make_ndarray
- tf.make_tensor_proto
- tf.map_fn
- tf.meshgrid
- tf.Module
- tf.name_scope
- 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.Operation
- tf.OptionalSpec
- tf.pad
- tf.parallel_stack
- tf.print
- tf.py_function
- tf.RaggedTensor
- tf.RaggedTensorSpec
- tf.range
- tf.rank
- tf.realdiv
- tf.recompute_grad
- tf.register_tensor_conversion_function
- tf.RegisterGradient
- tf.repeat
- tf.required_space_to_batch_paddings
- tf.reshape
- tf.reverse
- tf.reverse_sequence
- tf.roll
- tf.scan
- tf.scatter_nd
- tf.searchsorted
- tf.sequence_mask
- tf.shape
- tf.shape_n
- tf.size
- tf.slice
- tf.sort
- tf.space_to_batch
- tf.space_to_batch_nd
- tf.SparseTensorSpec
- tf.split
- tf.squeeze
- tf.stack
- tf.stop_gradient
- tf.strided_slice
- tf.switch_case
- tf.Tensor
- tf.tensor_scatter_nd_add
- tf.tensor_scatter_nd_max
- tf.tensor_scatter_nd_min
- tf.tensor_scatter_nd_sub
- tf.tensor_scatter_nd_update
- tf.TensorArray
- tf.TensorArraySpec
- tf.tensordot
- tf.TensorShape
- tf.TensorSpec
- tf.tile
- tf.timestamp
- tf.transpose
- tf.truncatediv
- tf.truncatemod
- tf.tuple
- tf.type_spec_from_value
- tf.TypeSpec
- tf.UnconnectedGradients
- tf.unique
- tf.unique_with_counts
- tf.unravel_index
- tf.unstack
- tf.Variable
- tf.Variable.SaveSliceInfo
- tf.variable_creator_scope
- tf.VariableAggregation
- tf.VariableSynchronization
- tf.vectorized_map
- tf.where
- tf.while_loop
- tf.zeros
- tf.zeros_initializer
- tf.zeros_like
- tf.audio
- tf.autodiff
- tf.autograph
- tf.bitwise
-
tf.compat
- tf.compat
- tf.compat.as_bytes
- tf.compat.as_str
- 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
- 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
- tf.compat.v1.app.run
- 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
- tf.compat.v1.AttrValue
- tf.compat.v1.AttrValue.ListValue
- tf.compat.v1.audio
- tf.compat.v1.autograph
- tf.compat.v1.autograph.experimental
- tf.compat.v1.autograph.to_code
- tf.compat.v1.autograph.to_graph
- 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
- 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
- tf.compat.v1.compat
- tf.compat.v1.cond
- tf.compat.v1.ConditionalAccumulator
- tf.compat.v1.ConditionalAccumulatorBase
- tf.compat.v1.config
- tf.compat.v1.config.experimental
- tf.compat.v1.config.optimizer
- tf.compat.v1.config.threading
- tf.compat.v1.ConfigProto
- tf.compat.v1.ConfigProto.DeviceCountEntry
- tf.compat.v1.ConfigProto.Experimental
- 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
- tf.compat.v1.data.Dataset
- tf.compat.v1.data.experimental
- tf.compat.v1.data.experimental.choose_from_datasets
- tf.compat.v1.data.experimental.Counter
- tf.compat.v1.data.experimental.CsvDataset
- 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.RaggedTensorStructure
- tf.compat.v1.data.experimental.RandomDataset
- tf.compat.v1.data.experimental.sample_from_datasets
- tf.compat.v1.data.experimental.service
- 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.FixedLengthRecordDataset
- 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.Iterator
- tf.compat.v1.data.make_initializable_iterator
- tf.compat.v1.data.make_one_shot_iterator
- tf.compat.v1.data.TextLineDataset
- tf.compat.v1.data.TFRecordDataset
- tf.compat.v1.debugging
- tf.compat.v1.debugging.assert_shapes
- tf.compat.v1.debugging.experimental
- 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.DeviceSpec
- tf.compat.v1.Dimension
- 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
- tf.compat.v1.distribute.cluster_resolver
- tf.compat.v1.distribute.experimental
- tf.compat.v1.distribute.experimental.CentralStorageStrategy
- tf.compat.v1.distribute.experimental.MultiWorkerMirroredStrategy
- tf.compat.v1.distribute.experimental.ParameterServerStrategy
- tf.compat.v1.distribute.experimental.TPUStrategy
- tf.compat.v1.distribute.get_loss_reduction
- tf.compat.v1.distribute.MirroredStrategy
- tf.compat.v1.distribute.OneDeviceStrategy
- tf.compat.v1.distribute.Strategy
- tf.compat.v1.distribute.StrategyExtended
- tf.compat.v1.distributions
- 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.kl_divergence
- 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.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
- 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
- tf.compat.v1.estimator
- tf.compat.v1.estimator.BaselineClassifier
- tf.compat.v1.estimator.BaselineEstimator
- tf.compat.v1.estimator.BaselineRegressor
- tf.compat.v1.estimator.classifier_parse_example_spec
- 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.experimental
- tf.compat.v1.estimator.experimental.dnn_logit_fn_builder
- tf.compat.v1.estimator.experimental.KMeans
- tf.compat.v1.estimator.experimental.linear_logit_fn_builder
- tf.compat.v1.estimator.export
- tf.compat.v1.estimator.inputs
- tf.compat.v1.estimator.inputs.numpy_input_fn
- tf.compat.v1.estimator.inputs.pandas_input_fn
- tf.compat.v1.estimator.LinearClassifier
- tf.compat.v1.estimator.LinearEstimator
- tf.compat.v1.estimator.LinearRegressor
- tf.compat.v1.estimator.regressor_parse_example_spec
- tf.compat.v1.estimator.tpu
- tf.compat.v1.estimator.tpu.experimental
- tf.compat.v1.estimator.tpu.experimental.EmbeddingConfigSpec
- 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.Event
- tf.compat.v1.executing_eagerly
- tf.compat.v1.executing_eagerly_outside_functions
- tf.compat.v1.expand_dims
- tf.compat.v1.experimental
- tf.compat.v1.experimental.output_all_intermediates
- tf.compat.v1.extract_image_patches
- tf.compat.v1.feature_column
- 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
- tf.compat.v1.fixed_size_partitioner
- tf.compat.v1.FixedLengthRecordReader
- tf.compat.v1.flags
- tf.compat.v1.flags.adopt_module_key_flags
- 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.declare_key_flag
- 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.disclaim_key_flags
- tf.compat.v1.flags.doc_to_help
- 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.Flag
- tf.compat.v1.flags.flag_dict_to_args
- tf.compat.v1.flags.FlagHolder
- tf.compat.v1.flags.FlagNameConflictsWithMethodError
- tf.compat.v1.flags.FLAGS
- tf.compat.v1.flags.FlagValues
- tf.compat.v1.flags.FloatParser
- tf.compat.v1.flags.get_help_width
- tf.compat.v1.flags.IllegalFlagValueError
- tf.compat.v1.flags.IntegerParser
- tf.compat.v1.flags.ListParser
- tf.compat.v1.flags.ListSerializer
- 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.MultiEnumClassFlag
- tf.compat.v1.flags.MultiFlag
- 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
- tf.compat.v1.flags.tf_decorator.make_decorator
- tf.compat.v1.flags.tf_decorator.rewrap
- tf.compat.v1.flags.tf_decorator.tf_stack
- tf.compat.v1.flags.tf_decorator.tf_stack.CurrentModuleFilter
- tf.compat.v1.flags.tf_decorator.tf_stack.extract_stack
- 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.TFDecorator
- tf.compat.v1.flags.tf_decorator.unwrap
- tf.compat.v1.flags.UnparsedFlagAccessError
- tf.compat.v1.flags.UnrecognizedFlagError
- tf.compat.v1.flags.ValidationError
- tf.compat.v1.flags.validator
- tf.compat.v1.flags.WhitespaceSeparatedListParser
- tf.compat.v1.floor_div
- tf.compat.v1.foldl
- tf.compat.v1.foldr
- 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
- 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
- tf.compat.v1.global_variables
- tf.compat.v1.global_variables_initializer
- tf.compat.v1.GPUOptions
- tf.compat.v1.GPUOptions.Experimental
- tf.compat.v1.GPUOptions.Experimental.VirtualDevices
- tf.compat.v1.gradients
- tf.compat.v1.graph_util
- 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
- tf.compat.v1.GraphDef
- tf.compat.v1.GraphKeys
- tf.compat.v1.GraphOptions
- tf.compat.v1.hessians
- tf.compat.v1.HistogramProto
- tf.compat.v1.IdentityReader
- tf.compat.v1.image
- 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.ResizeMethod
- tf.compat.v1.image.sample_distorted_bounding_box
- tf.compat.v1.initialize_all_tables
- tf.compat.v1.initialize_all_variables
- tf.compat.v1.initialize_local_variables
- tf.compat.v1.initialize_variables
- tf.compat.v1.initializers
- tf.compat.v1.initializers.he_normal
- tf.compat.v1.initializers.he_uniform
- tf.compat.v1.initializers.lecun_normal
- tf.compat.v1.initializers.lecun_uniform
- tf.compat.v1.InteractiveSession
- tf.compat.v1.io
- tf.compat.v1.io.gfile
- tf.compat.v1.io.tf_record_iterator
- tf.compat.v1.io.TFRecordCompressionType
- tf.compat.v1.is_variable_initialized
- tf.compat.v1.keras
- tf.compat.v1.keras.activations
- tf.compat.v1.keras.applications
- tf.compat.v1.keras.applications.densenet
- tf.compat.v1.keras.applications.efficientnet
- 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.backend
- tf.compat.v1.keras.backend.get_session
- tf.compat.v1.keras.backend.name_scope
- tf.compat.v1.keras.backend.set_session
- tf.compat.v1.keras.callbacks
- tf.compat.v1.keras.callbacks.TensorBoard
- tf.compat.v1.keras.constraints
- tf.compat.v1.keras.datasets
- 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.estimator
- tf.compat.v1.keras.estimator.model_to_estimator
- tf.compat.v1.keras.experimental
- tf.compat.v1.keras.experimental.export_saved_model
- tf.compat.v1.keras.experimental.load_from_saved_model
- tf.compat.v1.keras.initializers
- tf.compat.v1.keras.initializers.Constant
- 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.Identity
- tf.compat.v1.keras.initializers.lecun_normal
- tf.compat.v1.keras.initializers.lecun_uniform
- 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.layers
- 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.disable_v2_dtype_behavior
- tf.compat.v1.keras.layers.enable_v2_dtype_behavior
- tf.compat.v1.keras.layers.experimental
- tf.compat.v1.keras.layers.experimental.preprocessing
- tf.compat.v1.keras.layers.experimental.preprocessing.CategoryEncoding
- tf.compat.v1.keras.layers.experimental.preprocessing.IntegerLookup
- tf.compat.v1.keras.layers.experimental.preprocessing.Normalization
- tf.compat.v1.keras.layers.experimental.preprocessing.StringLookup
- tf.compat.v1.keras.layers.experimental.preprocessing.TextVectorization
- 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.losses
- tf.compat.v1.keras.metrics
- tf.compat.v1.keras.mixed_precision
- tf.compat.v1.keras.mixed_precision.experimental
- tf.compat.v1.keras.models
- tf.compat.v1.keras.optimizers
- tf.compat.v1.keras.optimizers.schedules
- tf.compat.v1.keras.preprocessing
- tf.compat.v1.keras.preprocessing.image
- tf.compat.v1.keras.preprocessing.sequence
- tf.compat.v1.keras.preprocessing.text
- tf.compat.v1.keras.regularizers
- tf.compat.v1.keras.utils
- tf.compat.v1.keras.wrappers
- tf.compat.v1.keras.wrappers.scikit_learn
- tf.compat.v1.layers
- tf.compat.v1.layers.average_pooling1d
- tf.compat.v1.layers.average_pooling2d
- tf.compat.v1.layers.average_pooling3d
- tf.compat.v1.layers.AveragePooling1D
- tf.compat.v1.layers.AveragePooling2D
- tf.compat.v1.layers.AveragePooling3D
- tf.compat.v1.layers.batch_normalization
- tf.compat.v1.layers.BatchNormalization
- tf.compat.v1.layers.Conv1D
- tf.compat.v1.layers.Conv2D
- tf.compat.v1.layers.conv2d_transpose
- tf.compat.v1.layers.Conv2DTranspose
- tf.compat.v1.layers.Conv3D
- tf.compat.v1.layers.conv3d_transpose
- tf.compat.v1.layers.Conv3DTranspose
- tf.compat.v1.layers.Dense
- tf.compat.v1.layers.Dropout
- tf.compat.v1.layers.experimental
- tf.compat.v1.layers.experimental.keras_style_scope
- tf.compat.v1.layers.experimental.set_keras_style
- tf.compat.v1.layers.Flatten
- tf.compat.v1.layers.Layer
- tf.compat.v1.layers.max_pooling1d
- tf.compat.v1.layers.max_pooling2d
- tf.compat.v1.layers.max_pooling3d
- tf.compat.v1.layers.MaxPooling1D
- tf.compat.v1.layers.MaxPooling2D
- tf.compat.v1.layers.MaxPooling3D
- tf.compat.v1.layers.separable_conv1d
- tf.compat.v1.layers.separable_conv2d
- tf.compat.v1.layers.SeparableConv1D
- tf.compat.v1.layers.SeparableConv2D
- tf.compat.v1.linalg
- tf.compat.v1.linalg.experimental
- tf.compat.v1.linalg.l2_normalize
- tf.compat.v1.lite
- tf.compat.v1.lite.constants
- tf.compat.v1.lite.experimental
- 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
- tf.compat.v1.lite.experimental.nn.dynamic_rnn
- tf.compat.v1.lite.experimental.nn.TFLiteLSTMCell
- tf.compat.v1.lite.experimental.nn.TfLiteRNNCell
- tf.compat.v1.lite.OpHint
- tf.compat.v1.lite.OpHint.OpHintArgumentTracker
- tf.compat.v1.lite.TFLiteConverter
- tf.compat.v1.lite.toco_convert
- tf.compat.v1.lite.TocoConverter
- tf.compat.v1.LMDBReader
- tf.compat.v1.load_file_system_library
- tf.compat.v1.local_variables
- tf.compat.v1.local_variables_initializer
- tf.compat.v1.logging
- 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.TaskLevelStatusMessage
- tf.compat.v1.logging.vlog
- tf.compat.v1.logging.warn
- tf.compat.v1.logging.warning
- tf.compat.v1.LogMessage
- tf.compat.v1.lookup
- tf.compat.v1.lookup.experimental
- tf.compat.v1.lookup.StaticHashTable
- tf.compat.v1.lookup.StaticVocabularyTable
- tf.compat.v1.losses
- 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.Reduction
- tf.compat.v1.losses.sigmoid_cross_entropy
- tf.compat.v1.losses.softmax_cross_entropy
- tf.compat.v1.losses.sparse_softmax_cross_entropy
- tf.compat.v1.make_template
- tf.compat.v1.manip
- tf.compat.v1.map_fn
- tf.compat.v1.math
- tf.compat.v1.math.in_top_k
- tf.compat.v1.math.log_softmax
- tf.compat.v1.math.softmax
- tf.compat.v1.math.special
- tf.compat.v1.MetaGraphDef
- tf.compat.v1.MetaGraphDef.CollectionDefEntry
- tf.compat.v1.MetaGraphDef.MetaInfoDef
- tf.compat.v1.MetaGraphDef.MetaInfoDef.FunctionAliasesEntry
- tf.compat.v1.MetaGraphDef.SignatureDefEntry
- tf.compat.v1.metrics
- 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
- tf.compat.v1.min_max_variable_partitioner
- tf.compat.v1.mixed_precision
- tf.compat.v1.mixed_precision.experimental
- tf.compat.v1.mlir
- tf.compat.v1.mlir.experimental
- tf.compat.v1.model_variables
- tf.compat.v1.moving_average_variables
- tf.compat.v1.multinomial
- tf.compat.v1.NameAttrList
- tf.compat.v1.NameAttrList.AttrEntry
- tf.compat.v1.nest
- tf.compat.v1.nn
- 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.ctc_loss_v2
- 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
- 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.ResidualWrapper
- tf.compat.v1.nn.rnn_cell.RNNCell
- 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
- tf.compat.v1.no_regularizer
- tf.compat.v1.NodeDef
- tf.compat.v1.NodeDef.AttrEntry
- tf.compat.v1.NodeDef.ExperimentalDebugInfo
- tf.compat.v1.norm
- tf.compat.v1.ones_like
- tf.compat.v1.op_scope
- tf.compat.v1.OptimizerOptions
- 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.Print
- tf.compat.v1.profiler
- tf.compat.v1.profiler.AdviceProto
- tf.compat.v1.profiler.AdviceProto.Checker
- tf.compat.v1.profiler.AdviceProto.CheckersEntry
- tf.compat.v1.profiler.advise
- tf.compat.v1.profiler.GraphNodeProto
- tf.compat.v1.profiler.GraphNodeProto.InputShapesEntry
- tf.compat.v1.profiler.MultiGraphNodeProto
- tf.compat.v1.profiler.OpLogProto
- tf.compat.v1.profiler.OpLogProto.IdToStringEntry
- tf.compat.v1.profiler.profile
- tf.compat.v1.profiler.ProfileOptionBuilder
- tf.compat.v1.profiler.Profiler
- tf.compat.v1.profiler.write_op_log
- tf.compat.v1.py_func
- tf.compat.v1.python_io
- tf.compat.v1.quantization
- tf.compat.v1.quantize_v2
- tf.compat.v1.queue
- tf.compat.v1.ragged
- tf.compat.v1.ragged.constant_value
- tf.compat.v1.ragged.placeholder
- tf.compat.v1.ragged.RaggedTensorValue
- tf.compat.v1.random
- tf.compat.v1.random.experimental
- tf.compat.v1.random.stateless_multinomial
- tf.compat.v1.random_normal_initializer
- tf.compat.v1.random_poisson
- tf.compat.v1.random_uniform_initializer
- tf.compat.v1.raw_ops
- tf.compat.v1.ReaderBase
- 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
- 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
- tf.compat.v1.resource_variables_enabled
- tf.compat.v1.reverse_sequence
- tf.compat.v1.RunMetadata
- tf.compat.v1.RunMetadata.FunctionGraphs
- tf.compat.v1.RunOptions
- tf.compat.v1.RunOptions.Experimental
- tf.compat.v1.RunOptions.Experimental.RunHandlerPoolOptions
- tf.compat.v1.saved_model
- tf.compat.v1.saved_model.build_signature_def
- tf.compat.v1.saved_model.build_tensor_info
- tf.compat.v1.saved_model.builder
- tf.compat.v1.saved_model.classification_signature_def
- tf.compat.v1.saved_model.constants
- tf.compat.v1.saved_model.contains_saved_model
- 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
- tf.compat.v1.saved_model.loader
- tf.compat.v1.saved_model.main_op
- tf.compat.v1.saved_model.main_op.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
- tf.compat.v1.saved_model.signature_constants
- tf.compat.v1.saved_model.signature_def_utils
- tf.compat.v1.saved_model.signature_def_utils.MethodNameUpdater
- tf.compat.v1.saved_model.simple_save
- tf.compat.v1.saved_model.tag_constants
- tf.compat.v1.saved_model.utils
- tf.compat.v1.scalar_mul
- tf.compat.v1.scan
- 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.Session
- tf.compat.v1.SessionLog
- tf.compat.v1.set_random_seed
- tf.compat.v1.setdiff1d
- tf.compat.v1.sets
- tf.compat.v1.shape
- tf.compat.v1.signal
- tf.compat.v1.size
- tf.compat.v1.space_to_batch
- tf.compat.v1.space_to_depth
- 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
- tf.compat.v1.SparseConditionalAccumulator
- tf.compat.v1.SparseTensorValue
- 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
- tf.compat.v1.strings.length
- tf.compat.v1.strings.split
- tf.compat.v1.strings.substr
- tf.compat.v1.substr
- tf.compat.v1.summary
- tf.compat.v1.summary.all_v2_summary_ops
- tf.compat.v1.summary.audio
- tf.compat.v1.summary.FileWriter
- tf.compat.v1.summary.FileWriterCache
- tf.compat.v1.summary.get_summary_description
- tf.compat.v1.summary.histogram
- tf.compat.v1.summary.image
- 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.SummaryDescription
- tf.compat.v1.summary.TaggedRunMetadata
- tf.compat.v1.summary.tensor_summary
- tf.compat.v1.summary.text
- tf.compat.v1.SummaryMetadata
- tf.compat.v1.SummaryMetadata.PluginData
- tf.compat.v1.sysconfig
- tf.compat.v1.tables_initializer
- tf.compat.v1.TensorInfo
- tf.compat.v1.TensorInfo.CompositeTensor
- tf.compat.v1.TensorInfo.CooSparse
- tf.compat.v1.test
- 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.StubOutForTesting
- tf.compat.v1.test.test_src_dir_path
- tf.compat.v1.TextLineReader
- tf.compat.v1.TFRecordReader
- 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
- 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.CrossShardOptimizer
- tf.compat.v1.tpu.experimental
- tf.compat.v1.tpu.experimental.AdagradParameters
- tf.compat.v1.tpu.experimental.AdamParameters
- tf.compat.v1.tpu.experimental.embedding
- tf.compat.v1.tpu.experimental.embedding_column
- tf.compat.v1.tpu.experimental.FtrlParameters
- tf.compat.v1.tpu.experimental.shared_embedding_columns
- tf.compat.v1.tpu.experimental.StochasticGradientDescentParameters
- tf.compat.v1.tpu.initialize_system
- tf.compat.v1.tpu.outside_compilation
- tf.compat.v1.tpu.PaddingSpec
- tf.compat.v1.tpu.replicate
- tf.compat.v1.tpu.rewrite
- tf.compat.v1.tpu.shard
- tf.compat.v1.tpu.shutdown_system
- tf.compat.v1.train
- tf.compat.v1.train.AdadeltaOptimizer
- tf.compat.v1.train.AdagradDAOptimizer
- tf.compat.v1.train.AdagradOptimizer
- tf.compat.v1.train.AdamOptimizer
- 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
- tf.compat.v1.train.checkpoint_exists
- tf.compat.v1.train.ChiefSessionCreator
- 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
- tf.compat.v1.train.experimental.disable_mixed_precision_graph_rewrite
- tf.compat.v1.train.experimental.enable_mixed_precision_graph_rewrite
- tf.compat.v1.train.experimental.MixedPrecisionLossScaleOptimizer
- tf.compat.v1.train.exponential_decay
- tf.compat.v1.train.export_meta_graph
- tf.compat.v1.train.FtrlOptimizer
- 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.GradientDescentOptimizer
- 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.LooperThread
- 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.MomentumOptimizer
- tf.compat.v1.train.MonitoredSession
- tf.compat.v1.train.MonitoredSession.StepContext
- tf.compat.v1.train.MonitoredTrainingSession
- tf.compat.v1.train.natural_exp_decay
- tf.compat.v1.train.NewCheckpointReader
- tf.compat.v1.train.noisy_linear_cosine_decay
- tf.compat.v1.train.Optimizer
- tf.compat.v1.train.piecewise_constant
- tf.compat.v1.train.polynomial_decay
- tf.compat.v1.train.ProximalAdagradOptimizer
- tf.compat.v1.train.ProximalGradientDescentOptimizer
- tf.compat.v1.train.queue_runner
- tf.compat.v1.train.QueueRunner
- tf.compat.v1.train.range_input_producer
- tf.compat.v1.train.remove_checkpoint
- tf.compat.v1.train.replica_device_setter
- tf.compat.v1.train.RMSPropOptimizer
- tf.compat.v1.train.Saver
- tf.compat.v1.train.SaverDef
- tf.compat.v1.train.Scaffold
- tf.compat.v1.train.sdca_fprint
- tf.compat.v1.train.sdca_optimizer
- tf.compat.v1.train.sdca_shrink_l1
- tf.compat.v1.train.SessionCreator
- tf.compat.v1.train.SessionManager
- tf.compat.v1.train.shuffle_batch
- tf.compat.v1.train.shuffle_batch_join
- tf.compat.v1.train.SingularMonitoredSession
- 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.Supervisor
- tf.compat.v1.train.SyncReplicasOptimizer
- tf.compat.v1.train.update_checkpoint_state
- tf.compat.v1.train.warm_start
- tf.compat.v1.train.WorkerSessionCreator
- 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
- tf.compat.v1.user_ops.my_fact
- tf.compat.v1.Variable
- 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.VariableAggregation
- tf.compat.v1.variables_initializer
- tf.compat.v1.VariableScope
- tf.compat.v1.verify_tensor_all_finite
- tf.compat.v1.version
- tf.compat.v1.where
- tf.compat.v1.while_loop
- tf.compat.v1.WholeFileReader
- tf.compat.v1.wrap_function
- tf.compat.v1.xla
- tf.compat.v1.xla.experimental
- tf.compat.v1.zeros_like
- tf.ragged.constant
-
tf.config
- tf.config
- tf.config.experimental
- tf.config.experimental.ClusterDeviceFilters
- tf.config.experimental.disable_mlir_bridge
- tf.config.experimental.disable_mlir_graph_optimization
- tf.config.experimental.enable_mlir_bridge
- tf.config.experimental.enable_mlir_graph_optimization
- tf.config.experimental.get_device_details
- 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
- 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.functions_run_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.LogicalDevice
- tf.config.LogicalDeviceConfiguration
- tf.config.optimizer
- tf.config.optimizer.get_experimental_options
- tf.config.optimizer.get_jit
- tf.config.optimizer.set_experimental_options
- tf.config.optimizer.set_jit
- tf.config.PhysicalDevice
- tf.config.run_functions_eagerly
- tf.config.set_logical_device_configuration
- tf.config.set_soft_device_placement
- tf.config.set_visible_devices
- tf.config.threading
- 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
-
tf.data
- tf.data
- tf.data.Dataset
- tf.data.DatasetSpec
- tf.data.experimental
- tf.data.experimental.assert_cardinality
- tf.data.experimental.AutoShardPolicy
- tf.data.experimental.bucket_by_sequence_length
- tf.data.experimental.bytes_produced_stats
- tf.data.experimental.cardinality
- tf.data.experimental.CheckpointInputPipelineHook
- tf.data.experimental.choose_from_datasets
- tf.data.experimental.copy_to_device
- tf.data.experimental.Counter
- tf.data.experimental.CsvDataset
- tf.data.experimental.dense_to_ragged_batch
- tf.data.experimental.dense_to_sparse_batch
- tf.data.experimental.DistributeOptions
- 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.load
- 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.MapVectorizationOptions
- tf.data.experimental.OptimizationOptions
- tf.data.experimental.parallel_interleave
- tf.data.experimental.parse_example_dataset
- tf.data.experimental.prefetch_to_device
- tf.data.experimental.RandomDataset
- tf.data.experimental.Reducer
- tf.data.experimental.rejection_resample
- tf.data.experimental.sample_from_datasets
- tf.data.experimental.save
- tf.data.experimental.scan
- tf.data.experimental.service
- tf.data.experimental.service.DispatchServer
- tf.data.experimental.service.distribute
- tf.data.experimental.service.WorkerServer
- tf.data.experimental.shuffle_and_repeat
- tf.data.experimental.snapshot
- tf.data.experimental.SqlDataset
- tf.data.experimental.StatsAggregator
- tf.data.experimental.StatsOptions
- tf.data.experimental.take_while
- tf.data.experimental.TFRecordWriter
- tf.data.experimental.ThreadingOptions
- tf.data.experimental.to_variant
- tf.data.experimental.unbatch
- tf.data.experimental.unique
- tf.data.FixedLengthRecordDataset
- tf.data.Iterator
- tf.data.IteratorSpec
- tf.data.Options
- tf.data.TextLineDataset
- tf.data.TFRecordDataset
-
tf.debugging
- tf.debugging
- 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
- tf.debugging.experimental.disable_dump_debug_info
- tf.debugging.experimental.enable_dump_debug_info
- tf.debugging.get_log_device_placement
- tf.debugging.is_numeric_tensor
- tf.debugging.set_log_device_placement
-
tf.distribute
- tf.distribute
- tf.distribute.cluster_resolver
- 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
- tf.distribute.CrossDeviceOps
- tf.distribute.DistributedDataset
- tf.distribute.DistributedIterator
- tf.distribute.DistributedValues
- tf.distribute.experimental
- tf.distribute.experimental.CentralStorageStrategy
- tf.distribute.experimental.CollectiveCommunication
- tf.distribute.experimental.CollectiveHints
- tf.distribute.experimental.MultiWorkerMirroredStrategy
- tf.distribute.experimental.ParameterServerStrategy
- tf.distribute.experimental.TPUStrategy
- tf.distribute.experimental.ValueContext
- tf.distribute.experimental_set_strategy
- tf.distribute.get_replica_context
- tf.distribute.get_strategy
- tf.distribute.has_strategy
- tf.distribute.HierarchicalCopyAllReduce
- tf.distribute.in_cross_replica_context
- tf.distribute.InputContext
- tf.distribute.InputOptions
- tf.distribute.InputReplicationMode
- tf.distribute.MirroredStrategy
- tf.distribute.NcclAllReduce
- tf.distribute.OneDeviceStrategy
- tf.distribute.ReduceOp
- tf.distribute.ReductionToOneDevice
- tf.distribute.ReplicaContext
- tf.distribute.RunOptions
- tf.distribute.Server
- tf.distribute.Strategy
- tf.distribute.StrategyExtended
- tf.distribute.TPUStrategy
- tf.dtypes
-
tf.errors
- tf.errors
- 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
-
tf.estimator
- tf.estimator
- tf.estimator.add_metrics
- 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.classifier_parse_example_spec
- 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.experimental
- tf.estimator.experimental.build_raw_supervised_input_receiver_fn
- tf.estimator.experimental.call_logit_fn
- tf.estimator.experimental.InMemoryEvaluatorHook
- tf.estimator.experimental.LinearSDCA
- tf.estimator.experimental.make_early_stopping_hook
- tf.estimator.experimental.make_stop_at_checkpoint_step_hook
- tf.estimator.experimental.RNNClassifier
- tf.estimator.experimental.RNNEstimator
- 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
- tf.estimator.export
- tf.estimator.export.build_parsing_serving_input_receiver_fn
- tf.estimator.export.build_raw_serving_input_receiver_fn
- 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.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.regressor_parse_example_spec
- 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.train_and_evaluate
- tf.estimator.TrainSpec
- tf.estimator.VocabInfo
- tf.estimator.WarmStartSettings
-
tf.experimental
- tf.experimental
- tf.experimental.async_clear_error
- tf.experimental.async_scope
- tf.experimental.dlpack
- tf.experimental.dlpack.from_dlpack
- tf.experimental.dlpack.to_dlpack
- tf.experimental.function_executor_type
- tf.experimental.Optional
- tf.experimental.tensorrt
- tf.experimental.tensorrt.ConversionParams
- tf.experimental.tensorrt.Converter
-
tf.feature_column
- tf.feature_column
- 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
- tf.graph_util
-
tf.image
- tf.image
- 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.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.ResizeMethod
- 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
-
tf.io
- tf.io
- 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_png
- tf.io.encode_proto
- tf.io.extract_jpeg_shape
- tf.io.FixedLenFeature
- tf.io.FixedLenSequenceFeature
- tf.io.gfile
- tf.io.gfile.copy
- tf.io.gfile.exists
- tf.io.gfile.GFile
- 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
- 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.RaggedFeature
- 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.read_file
- tf.io.serialize_many_sparse
- tf.io.serialize_sparse
- tf.io.serialize_tensor
- tf.io.SparseFeature
- tf.io.TFRecordOptions
- tf.io.TFRecordWriter
- tf.io.VarLenFeature
- tf.io.write_file
- tf.io.write_graph
-
tf.keras
- tf.keras
- tf.keras.activations
- 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.swish
- tf.keras.activations.tanh
- tf.keras.applications
- tf.keras.applications.densenet
- tf.keras.applications.densenet.decode_predictions
- tf.keras.applications.densenet.preprocess_input
- tf.keras.applications.DenseNet121
- tf.keras.applications.DenseNet169
- tf.keras.applications.DenseNet201
- tf.keras.applications.efficientnet
- tf.keras.applications.efficientnet.decode_predictions
- tf.keras.applications.efficientnet.preprocess_input
- tf.keras.applications.EfficientNetB0
- tf.keras.applications.EfficientNetB1
- tf.keras.applications.EfficientNetB2
- tf.keras.applications.EfficientNetB3
- tf.keras.applications.EfficientNetB4
- tf.keras.applications.EfficientNetB5
- tf.keras.applications.EfficientNetB6
- tf.keras.applications.EfficientNetB7
- tf.keras.applications.imagenet_utils
- tf.keras.applications.imagenet_utils.decode_predictions
- tf.keras.applications.imagenet_utils.preprocess_input
- tf.keras.applications.inception_resnet_v2
- tf.keras.applications.inception_resnet_v2.decode_predictions
- tf.keras.applications.inception_resnet_v2.preprocess_input
- tf.keras.applications.inception_v3
- tf.keras.applications.inception_v3.decode_predictions
- tf.keras.applications.inception_v3.preprocess_input
- tf.keras.applications.InceptionResNetV2
- tf.keras.applications.InceptionV3
- tf.keras.applications.mobilenet
- tf.keras.applications.mobilenet.decode_predictions
- tf.keras.applications.mobilenet.preprocess_input
- tf.keras.applications.mobilenet_v2
- tf.keras.applications.mobilenet_v2.decode_predictions
- tf.keras.applications.mobilenet_v2.preprocess_input
- tf.keras.applications.MobileNetV2
- tf.keras.applications.nasnet
- tf.keras.applications.nasnet.decode_predictions
- tf.keras.applications.nasnet.preprocess_input
- tf.keras.applications.NASNetLarge
- tf.keras.applications.NASNetMobile
- tf.keras.applications.resnet
- tf.keras.applications.resnet.decode_predictions
- tf.keras.applications.resnet.preprocess_input
- tf.keras.applications.ResNet101
- tf.keras.applications.ResNet101V2
- tf.keras.applications.ResNet152
- tf.keras.applications.ResNet152V2
- tf.keras.applications.resnet50
- tf.keras.applications.ResNet50V2
- tf.keras.applications.resnet_v2
- tf.keras.applications.resnet_v2.decode_predictions
- tf.keras.applications.resnet_v2.preprocess_input
- tf.keras.applications.vgg16
- tf.keras.applications.vgg16.decode_predictions
- tf.keras.applications.vgg16.preprocess_input
- tf.keras.applications.vgg19
- tf.keras.applications.vgg19.decode_predictions
- tf.keras.applications.vgg19.preprocess_input
- tf.keras.applications.xception
- tf.keras.applications.xception.decode_predictions
- tf.keras.applications.xception.preprocess_input
- tf.keras.backend
- 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_bernoulli
- 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
- tf.keras.callbacks
- tf.keras.callbacks.BaseLogger
- tf.keras.callbacks.Callback
- tf.keras.callbacks.CallbackList
- tf.keras.callbacks.CSVLogger
- tf.keras.callbacks.EarlyStopping
- tf.keras.callbacks.experimental
- tf.keras.callbacks.experimental.BackupAndRestore
- 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
- tf.keras.constraints
- tf.keras.constraints.Constraint
- tf.keras.constraints.deserialize
- tf.keras.constraints.get
- tf.keras.constraints.MaxNorm
- tf.keras.constraints.MinMaxNorm
- tf.keras.constraints.NonNeg
- tf.keras.constraints.RadialConstraint
- tf.keras.constraints.serialize
- tf.keras.constraints.UnitNorm
- tf.keras.datasets
- tf.keras.datasets.boston_housing
- tf.keras.datasets.boston_housing.load_data
- tf.keras.datasets.cifar10
- tf.keras.datasets.cifar10.load_data
- tf.keras.datasets.cifar100
- tf.keras.datasets.cifar100.load_data
- tf.keras.datasets.fashion_mnist
- tf.keras.datasets.fashion_mnist.load_data
- tf.keras.datasets.imdb
- tf.keras.datasets.imdb.get_word_index
- tf.keras.datasets.imdb.load_data
- tf.keras.datasets.mnist
- tf.keras.datasets.mnist.load_data
- tf.keras.datasets.reuters
- tf.keras.datasets.reuters.get_word_index
- tf.keras.datasets.reuters.load_data
- tf.keras.estimator
- tf.keras.estimator.model_to_estimator
- tf.keras.experimental
- 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.terminate_keras_multiprocessing_pools
- tf.keras.experimental.WideDeepModel
- tf.keras.initializers
- tf.keras.initializers.Constant
- tf.keras.initializers.deserialize
- tf.keras.initializers.get
- tf.keras.initializers.GlorotNormal
- tf.keras.initializers.GlorotUniform
- tf.keras.initializers.HeNormal
- tf.keras.initializers.HeUniform
- tf.keras.initializers.Identity
- tf.keras.initializers.Initializer
- tf.keras.initializers.LecunNormal
- tf.keras.initializers.LecunUniform
- tf.keras.initializers.Ones
- tf.keras.initializers.Orthogonal
- tf.keras.initializers.RandomNormal
- tf.keras.initializers.RandomUniform
- tf.keras.initializers.serialize
- tf.keras.initializers.TruncatedNormal
- tf.keras.initializers.VarianceScaling
- tf.keras.initializers.Zeros
- tf.keras.Input
- tf.keras.layers
- 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.Conv1DTranspose
- 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.deserialize
- tf.keras.layers.Dot
- tf.keras.layers.Dropout
- tf.keras.layers.ELU
- tf.keras.layers.Embedding
- tf.keras.layers.experimental
- tf.keras.layers.experimental.EinsumDense
- tf.keras.layers.experimental.preprocessing
- tf.keras.layers.experimental.preprocessing.CategoryCrossing
- tf.keras.layers.experimental.preprocessing.CategoryEncoding
- tf.keras.layers.experimental.preprocessing.CenterCrop
- tf.keras.layers.experimental.preprocessing.Discretization
- tf.keras.layers.experimental.preprocessing.Hashing
- tf.keras.layers.experimental.preprocessing.IntegerLookup
- tf.keras.layers.experimental.preprocessing.Normalization
- tf.keras.layers.experimental.preprocessing.PreprocessingLayer
- tf.keras.layers.experimental.preprocessing.RandomContrast
- tf.keras.layers.experimental.preprocessing.RandomCrop
- tf.keras.layers.experimental.preprocessing.RandomFlip
- tf.keras.layers.experimental.preprocessing.RandomHeight
- tf.keras.layers.experimental.preprocessing.RandomRotation
- tf.keras.layers.experimental.preprocessing.RandomTranslation
- tf.keras.layers.experimental.preprocessing.RandomWidth
- tf.keras.layers.experimental.preprocessing.RandomZoom
- tf.keras.layers.experimental.preprocessing.Rescaling
- tf.keras.layers.experimental.preprocessing.Resizing
- tf.keras.layers.experimental.preprocessing.StringLookup
- tf.keras.layers.experimental.preprocessing.TextVectorization
- tf.keras.layers.experimental.RandomFourierFeatures
- tf.keras.layers.experimental.SyncBatchNormalization
- tf.keras.layers.Flatten
- 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.GRU
- tf.keras.layers.GRUCell
- tf.keras.layers.InputLayer
- tf.keras.layers.InputSpec
- 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.LSTM
- tf.keras.layers.LSTMCell
- tf.keras.layers.Masking
- tf.keras.layers.Maximum
- tf.keras.layers.MaxPool1D
- tf.keras.layers.MaxPool2D
- tf.keras.layers.MaxPool3D
- tf.keras.layers.Minimum
- tf.keras.layers.Multiply
- tf.keras.layers.Permute
- tf.keras.layers.PReLU
- tf.keras.layers.ReLU
- tf.keras.layers.RepeatVector
- tf.keras.layers.Reshape
- tf.keras.layers.RNN
- tf.keras.layers.SeparableConv1D
- tf.keras.layers.SeparableConv2D
- tf.keras.layers.serialize
- 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.losses
- tf.keras.losses.binary_crossentropy
- tf.keras.losses.BinaryCrossentropy
- tf.keras.losses.categorical_crossentropy
- tf.keras.losses.categorical_hinge
- tf.keras.losses.CategoricalCrossentropy
- tf.keras.losses.CategoricalHinge
- tf.keras.losses.cosine_similarity
- tf.keras.losses.CosineSimilarity
- tf.keras.losses.deserialize
- tf.keras.losses.get
- tf.keras.losses.Hinge
- tf.keras.losses.Huber
- tf.keras.losses.KLD
- tf.keras.losses.KLDivergence
- tf.keras.losses.log_cosh
- tf.keras.losses.LogCosh
- tf.keras.losses.Loss
- tf.keras.losses.MAE
- tf.keras.losses.MAPE
- tf.keras.losses.MeanAbsoluteError
- tf.keras.losses.MeanAbsolutePercentageError
- tf.keras.losses.MeanSquaredError
- tf.keras.losses.MeanSquaredLogarithmicError
- tf.keras.losses.MSE
- tf.keras.losses.MSLE
- tf.keras.losses.Poisson
- tf.keras.losses.Reduction
- tf.keras.losses.serialize
- tf.keras.losses.sparse_categorical_crossentropy
- tf.keras.losses.SparseCategoricalCrossentropy
- tf.keras.losses.squared_hinge
- tf.keras.losses.SquaredHinge
- tf.keras.metrics
- tf.keras.metrics.Accuracy
- tf.keras.metrics.AUC
- tf.keras.metrics.binary_accuracy
- tf.keras.metrics.BinaryAccuracy
- tf.keras.metrics.BinaryCrossentropy
- tf.keras.metrics.categorical_accuracy
- tf.keras.metrics.CategoricalAccuracy
- tf.keras.metrics.CategoricalCrossentropy
- tf.keras.metrics.CategoricalHinge
- tf.keras.metrics.CosineSimilarity
- tf.keras.metrics.deserialize
- tf.keras.metrics.FalseNegatives
- tf.keras.metrics.FalsePositives
- tf.keras.metrics.get
- 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.RecallAtPrecision
- tf.keras.metrics.RootMeanSquaredError
- tf.keras.metrics.SensitivityAtSpecificity
- tf.keras.metrics.serialize
- tf.keras.metrics.sparse_categorical_accuracy
- tf.keras.metrics.sparse_top_k_categorical_accuracy
- 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.top_k_categorical_accuracy
- tf.keras.metrics.TopKCategoricalAccuracy
- tf.keras.metrics.TrueNegatives
- tf.keras.metrics.TruePositives
- tf.keras.mixed_precision
- tf.keras.mixed_precision.experimental
- tf.keras.mixed_precision.experimental.get_layer_policy
- tf.keras.mixed_precision.experimental.global_policy
- tf.keras.mixed_precision.experimental.LossScaleOptimizer
- tf.keras.mixed_precision.experimental.Policy
- tf.keras.mixed_precision.experimental.set_policy
- tf.keras.Model
- tf.keras.models
- 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
- tf.keras.optimizers
- tf.keras.optimizers.Adadelta
- tf.keras.optimizers.Adagrad
- tf.keras.optimizers.Adam
- tf.keras.optimizers.Adamax
- tf.keras.optimizers.deserialize
- tf.keras.optimizers.Ftrl
- tf.keras.optimizers.get
- tf.keras.optimizers.Nadam
- tf.keras.optimizers.Optimizer
- tf.keras.optimizers.RMSprop
- tf.keras.optimizers.schedules
- tf.keras.optimizers.schedules.deserialize
- 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.serialize
- tf.keras.optimizers.serialize
- tf.keras.optimizers.SGD
- tf.keras.preprocessing
- tf.keras.preprocessing.image
- 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.DirectoryIterator
- tf.keras.preprocessing.image.ImageDataGenerator
- tf.keras.preprocessing.image.img_to_array
- tf.keras.preprocessing.image.Iterator
- tf.keras.preprocessing.image.load_img
- tf.keras.preprocessing.image.NumpyArrayIterator
- 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
- tf.keras.preprocessing.image.smart_resize
- tf.keras.preprocessing.image_dataset_from_directory
- tf.keras.preprocessing.sequence
- tf.keras.preprocessing.sequence.make_sampling_table
- tf.keras.preprocessing.sequence.pad_sequences
- tf.keras.preprocessing.sequence.skipgrams
- tf.keras.preprocessing.sequence.TimeseriesGenerator
- tf.keras.preprocessing.text
- 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
- tf.keras.preprocessing.text.tokenizer_from_json
- tf.keras.preprocessing.text_dataset_from_directory
- tf.keras.preprocessing.timeseries_dataset_from_array
- tf.keras.regularizers
- tf.keras.regularizers.deserialize
- tf.keras.regularizers.get
- tf.keras.regularizers.L1
- tf.keras.regularizers.l1_l2
- tf.keras.regularizers.L1L2
- tf.keras.regularizers.L2
- tf.keras.regularizers.Regularizer
- tf.keras.regularizers.serialize
- tf.keras.Sequential
- tf.keras.utils
- tf.keras.utils.convert_all_kernels_in_model
- tf.keras.utils.CustomObjectScope
- tf.keras.utils.deserialize_keras_object
- tf.keras.utils.GeneratorEnqueuer
- tf.keras.utils.get_custom_objects
- tf.keras.utils.get_file
- tf.keras.utils.get_registered_name
- tf.keras.utils.get_registered_object
- tf.keras.utils.get_source_inputs
- tf.keras.utils.HDF5Matrix
- tf.keras.utils.model_to_dot
- tf.keras.utils.multi_gpu_model
- tf.keras.utils.normalize
- tf.keras.utils.OrderedEnqueuer
- tf.keras.utils.pack_x_y_sample_weight
- tf.keras.utils.plot_model
- tf.keras.utils.Progbar
- tf.keras.utils.register_keras_serializable
- tf.keras.utils.Sequence
- tf.keras.utils.SequenceEnqueuer
- tf.keras.utils.serialize_keras_object
- tf.keras.utils.to_categorical
- tf.keras.utils.unpack_x_y_sample_weight
- tf.keras.wrappers
- tf.keras.wrappers.scikit_learn
- tf.keras.wrappers.scikit_learn.KerasClassifier
- tf.keras.wrappers.scikit_learn.KerasRegressor
-
tf.linalg
- tf.linalg
- tf.linalg.adjoint
- tf.linalg.band_part
- tf.linalg.banded_triangular_solve
- tf.linalg.cholesky
- tf.linalg.cholesky_solve
- tf.linalg.cross
- tf.linalg.det
- tf.linalg.diag
- tf.linalg.diag_part
- tf.linalg.eig
- tf.linalg.eigh
- tf.linalg.eigvals
- tf.linalg.eigvalsh
- tf.linalg.experimental
- tf.linalg.experimental.conjugate_gradient
- tf.linalg.expm
- tf.linalg.global_norm
- tf.linalg.inv
- tf.linalg.LinearOperator
- tf.linalg.LinearOperatorAdjoint
- tf.linalg.LinearOperatorBlockDiag
- tf.linalg.LinearOperatorBlockLowerTriangular
- 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.LinearOperatorLowerTriangular
- tf.linalg.LinearOperatorLowRankUpdate
- tf.linalg.LinearOperatorPermutation
- tf.linalg.LinearOperatorScaledIdentity
- tf.linalg.LinearOperatorToeplitz
- tf.linalg.LinearOperatorTridiag
- tf.linalg.LinearOperatorZeros
- 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
- tf.lite
- tf.lookup
-
tf.math
- tf.math
- 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_all
- 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.sobol_sample
- tf.math.softplus
- tf.math.special
- tf.math.special.bessel_j0
- tf.math.special.bessel_j1
- tf.math.special.bessel_k0
- tf.math.special.bessel_k0e
- tf.math.special.bessel_k1
- tf.math.special.bessel_k1e
- tf.math.special.bessel_y0
- tf.math.special.bessel_y1
- tf.math.special.dawsn
- tf.math.special.expint
- tf.math.special.fresnel_cos
- tf.math.special.fresnel_sin
- tf.math.special.spence
- 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.xlog1py
- tf.math.xlogy
- tf.math.zero_fraction
- tf.math.zeta
- tf.mixed_precision
- tf.mlir
- tf.nest
-
tf.nn
- tf.nn
- 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.RNNCellDeviceWrapper
- tf.nn.RNNCellDropoutWrapper
- tf.nn.RNNCellResidualWrapper
- 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
-
tf.profiler
- tf.profiler
- tf.profiler.experimental
- tf.profiler.experimental.client
- tf.profiler.experimental.client.monitor
- tf.profiler.experimental.client.trace
- tf.profiler.experimental.Profile
- tf.profiler.experimental.ProfilerOptions
- tf.profiler.experimental.server
- tf.profiler.experimental.server.start
- tf.profiler.experimental.start
- tf.profiler.experimental.stop
- tf.profiler.experimental.Trace
-
tf.quantization
- tf.quantization
- 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
- tf.queue
- tf.ragged
-
tf.random
- tf.random
- tf.random.Algorithm
- tf.random.all_candidate_sampler
- tf.random.categorical
- tf.random.create_rng_state
- tf.random.experimental
- tf.random.experimental.stateless_fold_in
- tf.random.experimental.stateless_split
- tf.random.fixed_unigram_candidate_sampler
- tf.random.gamma
- tf.random.Generator
- tf.random.get_global_generator
- tf.random.learned_unigram_candidate_sampler
- tf.random.log_uniform_candidate_sampler
- tf.random.normal
- tf.random.poisson
- tf.random.set_global_generator
- tf.random.set_seed
- tf.random.shuffle
- tf.random.stateless_binomial
- tf.random.stateless_categorical
- tf.random.stateless_gamma
- tf.random.stateless_normal
- tf.random.stateless_parameterized_truncated_normal
- tf.random.stateless_poisson
- tf.random.stateless_truncated_normal
- tf.random.stateless_uniform
- tf.random.truncated_normal
- tf.random.uniform
- tf.random.uniform_candidate_sampler
- tf.random_normal_initializer
- tf.random_uniform_initializer
-
tf.raw_ops
- tf.raw_ops
- tf.raw_ops.Abort
- tf.raw_ops.Abs
- tf.raw_ops.AccumulateNV2
- tf.raw_ops.AccumulatorApplyGradient
- tf.raw_ops.AccumulatorNumAccumulated
- tf.raw_ops.AccumulatorSetGlobalStep
- tf.raw_ops.AccumulatorTakeGradient
- tf.raw_ops.Acos
- tf.raw_ops.Acosh
- tf.raw_ops.Add
- tf.raw_ops.AddManySparseToTensorsMap
- tf.raw_ops.AddN
- tf.raw_ops.AddSparseToTensorsMap
- tf.raw_ops.AddV2
- tf.raw_ops.AdjustContrast
- tf.raw_ops.AdjustContrastv2
- tf.raw_ops.AdjustHue
- tf.raw_ops.AdjustSaturation
- tf.raw_ops.All
- tf.raw_ops.AllCandidateSampler
- tf.raw_ops.AllToAll
- tf.raw_ops.Angle
- tf.raw_ops.AnonymousIterator
- tf.raw_ops.AnonymousIteratorV2
- tf.raw_ops.AnonymousMemoryCache
- tf.raw_ops.AnonymousMultiDeviceIterator
- tf.raw_ops.AnonymousRandomSeedGenerator
- tf.raw_ops.AnonymousSeedGenerator
- tf.raw_ops.Any
- tf.raw_ops.ApplyAdadelta
- tf.raw_ops.ApplyAdagrad
- tf.raw_ops.ApplyAdagradDA
- tf.raw_ops.ApplyAdagradV2
- tf.raw_ops.ApplyAdam
- tf.raw_ops.ApplyAdaMax
- tf.raw_ops.ApplyAddSign
- tf.raw_ops.ApplyCenteredRMSProp
- tf.raw_ops.ApplyFtrl
- tf.raw_ops.ApplyFtrlV2
- tf.raw_ops.ApplyGradientDescent
- tf.raw_ops.ApplyMomentum
- tf.raw_ops.ApplyPowerSign
- tf.raw_ops.ApplyProximalAdagrad
- tf.raw_ops.ApplyProximalGradientDescent
- tf.raw_ops.ApplyRMSProp
- tf.raw_ops.ApproximateEqual
- tf.raw_ops.ArgMax
- tf.raw_ops.ArgMin
- tf.raw_ops.Asin
- tf.raw_ops.Asinh
- tf.raw_ops.Assert
- tf.raw_ops.AssertCardinalityDataset
- tf.raw_ops.AssertNextDataset
- tf.raw_ops.Assign
- tf.raw_ops.AssignAdd
- tf.raw_ops.AssignAddVariableOp
- tf.raw_ops.AssignSub
- tf.raw_ops.AssignSubVariableOp
- tf.raw_ops.AssignVariableOp
- tf.raw_ops.AsString
- tf.raw_ops.Atan
- tf.raw_ops.Atan2
- tf.raw_ops.Atanh
- tf.raw_ops.AudioSpectrogram
- tf.raw_ops.AudioSummary
- tf.raw_ops.AudioSummaryV2
- tf.raw_ops.AutoShardDataset
- tf.raw_ops.AvgPool
- tf.raw_ops.AvgPool3D
- tf.raw_ops.AvgPool3DGrad
- tf.raw_ops.AvgPoolGrad
- tf.raw_ops.BandedTriangularSolve
- tf.raw_ops.Barrier
- tf.raw_ops.BarrierClose
- tf.raw_ops.BarrierIncompleteSize
- tf.raw_ops.BarrierInsertMany
- tf.raw_ops.BarrierReadySize
- tf.raw_ops.BarrierTakeMany
- tf.raw_ops.Batch
- tf.raw_ops.BatchCholesky
- tf.raw_ops.BatchCholeskyGrad
- tf.raw_ops.BatchDataset
- tf.raw_ops.BatchDatasetV2
- tf.raw_ops.BatchFFT
- tf.raw_ops.BatchFFT2D
- tf.raw_ops.BatchFFT3D
- tf.raw_ops.BatchFunction
- tf.raw_ops.BatchIFFT
- tf.raw_ops.BatchIFFT2D
- tf.raw_ops.BatchIFFT3D
- tf.raw_ops.BatchMatMul
- tf.raw_ops.BatchMatMulV2
- tf.raw_ops.BatchMatrixBandPart
- tf.raw_ops.BatchMatrixDeterminant
- tf.raw_ops.BatchMatrixDiag
- tf.raw_ops.BatchMatrixDiagPart
- tf.raw_ops.BatchMatrixInverse
- tf.raw_ops.BatchMatrixSetDiag
- tf.raw_ops.BatchMatrixSolve
- tf.raw_ops.BatchMatrixSolveLs
- tf.raw_ops.BatchMatrixTriangularSolve
- tf.raw_ops.BatchNormWithGlobalNormalization
- tf.raw_ops.BatchNormWithGlobalNormalizationGrad
- tf.raw_ops.BatchSelfAdjointEig
- tf.raw_ops.BatchSelfAdjointEigV2
- tf.raw_ops.BatchSvd
- tf.raw_ops.BatchToSpace
- tf.raw_ops.BatchToSpaceND
- tf.raw_ops.BesselI0
- tf.raw_ops.BesselI0e
- tf.raw_ops.BesselI1
- tf.raw_ops.BesselI1e
- tf.raw_ops.BesselJ0
- tf.raw_ops.BesselJ1
- tf.raw_ops.BesselK0
- tf.raw_ops.BesselK0e
- tf.raw_ops.BesselK1
- tf.raw_ops.BesselK1e
- tf.raw_ops.BesselY0
- tf.raw_ops.BesselY1
- tf.raw_ops.Betainc
- tf.raw_ops.BiasAdd
- tf.raw_ops.BiasAddGrad
- tf.raw_ops.BiasAddV1
- tf.raw_ops.Bincount
- tf.raw_ops.Bitcast
- tf.raw_ops.BitwiseAnd
- tf.raw_ops.BitwiseOr
- tf.raw_ops.BitwiseXor
- tf.raw_ops.BlockLSTM
- tf.raw_ops.BlockLSTMGrad
- tf.raw_ops.BlockLSTMGradV2
- tf.raw_ops.BlockLSTMV2
- tf.raw_ops.BoostedTreesAggregateStats
- tf.raw_ops.BoostedTreesBucketize
- tf.raw_ops.BoostedTreesCalculateBestFeatureSplit
- tf.raw_ops.BoostedTreesCalculateBestFeatureSplitV2
- tf.raw_ops.BoostedTreesCalculateBestGainsPerFeature
- tf.raw_ops.BoostedTreesCenterBias
- tf.raw_ops.BoostedTreesCreateEnsemble
- tf.raw_ops.BoostedTreesCreateQuantileStreamResource
- tf.raw_ops.BoostedTreesDeserializeEnsemble
- tf.raw_ops.BoostedTreesEnsembleResourceHandleOp
- tf.raw_ops.BoostedTreesExampleDebugOutputs
- tf.raw_ops.BoostedTreesFlushQuantileSummaries
- tf.raw_ops.BoostedTreesGetEnsembleStates
- tf.raw_ops.BoostedTreesMakeQuantileSummaries
- tf.raw_ops.BoostedTreesMakeStatsSummary
- tf.raw_ops.BoostedTreesPredict
- tf.raw_ops.BoostedTreesQuantileStreamResourceAddSummaries
- tf.raw_ops.BoostedTreesQuantileStreamResourceDeserialize
- tf.raw_ops.BoostedTreesQuantileStreamResourceFlush
- tf.raw_ops.BoostedTreesQuantileStreamResourceGetBucketBoundaries
- tf.raw_ops.BoostedTreesQuantileStreamResourceHandleOp
- tf.raw_ops.BoostedTreesSerializeEnsemble
- tf.raw_ops.BoostedTreesSparseAggregateStats
- tf.raw_ops.BoostedTreesSparseCalculateBestFeatureSplit
- tf.raw_ops.BoostedTreesTrainingPredict
- tf.raw_ops.BoostedTreesUpdateEnsemble
- tf.raw_ops.BoostedTreesUpdateEnsembleV2
- tf.raw_ops.BroadcastArgs
- tf.raw_ops.BroadcastGradientArgs
- tf.raw_ops.BroadcastTo
- tf.raw_ops.Bucketize
- tf.raw_ops.BytesProducedStatsDataset
- tf.raw_ops.CacheDataset
- tf.raw_ops.CacheDatasetV2
- tf.raw_ops.Case
- tf.raw_ops.Cast
- tf.raw_ops.Ceil
- tf.raw_ops.CheckNumerics
- tf.raw_ops.CheckNumericsV2
- tf.raw_ops.Cholesky
- tf.raw_ops.CholeskyGrad
- tf.raw_ops.ChooseFastestBranchDataset
- tf.raw_ops.ChooseFastestDataset
- tf.raw_ops.ClipByValue
- tf.raw_ops.CloseSummaryWriter
- tf.raw_ops.CollectiveBcastRecv
- tf.raw_ops.CollectiveBcastSend
- tf.raw_ops.CollectiveGather
- tf.raw_ops.CollectivePermute
- tf.raw_ops.CollectiveReduce
- tf.raw_ops.CombinedNonMaxSuppression
- tf.raw_ops.CompareAndBitpack
- tf.raw_ops.Complex
- tf.raw_ops.ComplexAbs
- tf.raw_ops.CompressElement
- tf.raw_ops.ComputeAccidentalHits
- tf.raw_ops.Concat
- tf.raw_ops.ConcatenateDataset
- tf.raw_ops.ConcatOffset
- tf.raw_ops.ConcatV2
- tf.raw_ops.ConditionalAccumulator
- tf.raw_ops.ConfigureDistributedTPU
- tf.raw_ops.ConfigureTPUEmbedding
- tf.raw_ops.Conj
- tf.raw_ops.ConjugateTranspose
- tf.raw_ops.Const
- tf.raw_ops.ConsumeMutexLock
- tf.raw_ops.ControlTrigger
- tf.raw_ops.Conv2D
- tf.raw_ops.Conv2DBackpropFilter
- tf.raw_ops.Conv2DBackpropInput
- tf.raw_ops.Conv3D
- tf.raw_ops.Conv3DBackpropFilter
- tf.raw_ops.Conv3DBackpropFilterV2
- tf.raw_ops.Conv3DBackpropInput
- tf.raw_ops.Conv3DBackpropInputV2
- tf.raw_ops.Copy
- tf.raw_ops.CopyHost
- tf.raw_ops.Cos
- tf.raw_ops.Cosh
- tf.raw_ops.CountUpTo
- tf.raw_ops.CreateSummaryDbWriter
- tf.raw_ops.CreateSummaryFileWriter
- tf.raw_ops.CropAndResize
- tf.raw_ops.CropAndResizeGradBoxes
- tf.raw_ops.CropAndResizeGradImage
- tf.raw_ops.Cross
- tf.raw_ops.CrossReplicaSum
- tf.raw_ops.CSRSparseMatrixComponents
- tf.raw_ops.CSRSparseMatrixToDense
- tf.raw_ops.CSRSparseMatrixToSparseTensor
- tf.raw_ops.CSVDataset
- tf.raw_ops.CTCBeamSearchDecoder
- tf.raw_ops.CTCGreedyDecoder
- tf.raw_ops.CTCLoss
- tf.raw_ops.CTCLossV2
- tf.raw_ops.CudnnRNN
- tf.raw_ops.CudnnRNNBackprop
- tf.raw_ops.CudnnRNNBackpropV2
- tf.raw_ops.CudnnRNNBackpropV3
- tf.raw_ops.CudnnRNNCanonicalToParams
- tf.raw_ops.CudnnRNNCanonicalToParamsV2
- tf.raw_ops.CudnnRNNParamsSize
- tf.raw_ops.CudnnRNNParamsToCanonical
- tf.raw_ops.CudnnRNNParamsToCanonicalV2
- tf.raw_ops.CudnnRNNV2
- tf.raw_ops.CudnnRNNV3
- tf.raw_ops.Cumprod
- tf.raw_ops.Cumsum
- tf.raw_ops.CumulativeLogsumexp
- tf.raw_ops.DataFormatDimMap
- tf.raw_ops.DataFormatVecPermute
- tf.raw_ops.DataServiceDataset
- tf.raw_ops.DatasetCardinality
- tf.raw_ops.DatasetFromGraph
- tf.raw_ops.DatasetToGraph
- tf.raw_ops.DatasetToGraphV2
- tf.raw_ops.DatasetToSingleElement
- tf.raw_ops.DatasetToTFRecord
- tf.raw_ops.Dawsn
- tf.raw_ops.DebugGradientIdentity
- tf.raw_ops.DebugGradientRefIdentity
- tf.raw_ops.DebugIdentity
- tf.raw_ops.DebugIdentityV2
- tf.raw_ops.DebugNanCount
- tf.raw_ops.DebugNumericSummary
- tf.raw_ops.DebugNumericSummaryV2
- tf.raw_ops.DecodeAndCropJpeg
- tf.raw_ops.DecodeBase64
- tf.raw_ops.DecodeBmp
- tf.raw_ops.DecodeCompressed
- tf.raw_ops.DecodeCSV
- tf.raw_ops.DecodeGif
- tf.raw_ops.DecodeJpeg
- tf.raw_ops.DecodeJSONExample
- tf.raw_ops.DecodePaddedRaw
- tf.raw_ops.DecodePng
- tf.raw_ops.DecodeProtoV2
- tf.raw_ops.DecodeRaw
- tf.raw_ops.DecodeWav
- tf.raw_ops.DeepCopy
- tf.raw_ops.DeleteIterator
- tf.raw_ops.DeleteMemoryCache
- tf.raw_ops.DeleteMultiDeviceIterator
- tf.raw_ops.DeleteRandomSeedGenerator
- tf.raw_ops.DeleteSeedGenerator
- tf.raw_ops.DeleteSessionTensor
- tf.raw_ops.DenseBincount
- tf.raw_ops.DenseCountSparseOutput
- tf.raw_ops.DenseToCSRSparseMatrix
- tf.raw_ops.DenseToDenseSetOperation
- tf.raw_ops.DenseToSparseBatchDataset
- tf.raw_ops.DenseToSparseSetOperation
- tf.raw_ops.DepthToSpace
- tf.raw_ops.DepthwiseConv2dNative
- tf.raw_ops.DepthwiseConv2dNativeBackpropFilter
- tf.raw_ops.DepthwiseConv2dNativeBackpropInput
- tf.raw_ops.Dequantize
- tf.raw_ops.DeserializeIterator
- tf.raw_ops.DeserializeManySparse
- tf.raw_ops.DeserializeSparse
- tf.raw_ops.DestroyResourceOp
- tf.raw_ops.DestroyTemporaryVariable
- tf.raw_ops.DeviceIndex
- tf.raw_ops.Diag
- tf.raw_ops.DiagPart
- tf.raw_ops.Digamma
- tf.raw_ops.Dilation2D
- tf.raw_ops.Dilation2DBackpropFilter
- tf.raw_ops.Dilation2DBackpropInput
- tf.raw_ops.DirectedInterleaveDataset
- tf.raw_ops.Div
- tf.raw_ops.DivNoNan
- tf.raw_ops.DrawBoundingBoxes
- tf.raw_ops.DrawBoundingBoxesV2
- tf.raw_ops.DummyIterationCounter
- tf.raw_ops.DummyMemoryCache
- tf.raw_ops.DummySeedGenerator
- tf.raw_ops.DynamicPartition
- tf.raw_ops.DynamicStitch
- tf.raw_ops.EagerPyFunc
- tf.raw_ops.EditDistance
- tf.raw_ops.Eig
- tf.raw_ops.Einsum
- tf.raw_ops.Elu
- tf.raw_ops.EluGrad
- tf.raw_ops.Empty
- tf.raw_ops.EmptyTensorList
- tf.raw_ops.EncodeBase64
- tf.raw_ops.EncodeJpeg
- tf.raw_ops.EncodeJpegVariableQuality
- tf.raw_ops.EncodePng
- tf.raw_ops.EncodeProto
- tf.raw_ops.EncodeWav
- tf.raw_ops.EnqueueTPUEmbeddingIntegerBatch
- tf.raw_ops.EnqueueTPUEmbeddingRaggedTensorBatch
- tf.raw_ops.EnqueueTPUEmbeddingSparseBatch
- tf.raw_ops.EnqueueTPUEmbeddingSparseTensorBatch
- tf.raw_ops.EnsureShape
- tf.raw_ops.Enter
- tf.raw_ops.Equal
- tf.raw_ops.Erf
- tf.raw_ops.Erfc
- tf.raw_ops.Erfinv
- tf.raw_ops.EuclideanNorm
- tf.raw_ops.Exit
- tf.raw_ops.Exp
- tf.raw_ops.ExpandDims
- tf.raw_ops.ExperimentalAssertNextDataset
- tf.raw_ops.ExperimentalAutoShardDataset
- tf.raw_ops.ExperimentalBytesProducedStatsDataset
- tf.raw_ops.ExperimentalChooseFastestDataset
- tf.raw_ops.ExperimentalCSVDataset
- tf.raw_ops.ExperimentalDatasetCardinality
- tf.raw_ops.ExperimentalDatasetToTFRecord
- tf.raw_ops.ExperimentalDenseToSparseBatchDataset
- tf.raw_ops.ExperimentalDirectedInterleaveDataset
- tf.raw_ops.ExperimentalGroupByReducerDataset
- tf.raw_ops.ExperimentalGroupByWindowDataset
- tf.raw_ops.ExperimentalIgnoreErrorsDataset
- tf.raw_ops.ExperimentalIteratorGetDevice
- tf.raw_ops.ExperimentalLatencyStatsDataset
- tf.raw_ops.ExperimentalLMDBDataset
- tf.raw_ops.ExperimentalMapAndBatchDataset
- tf.raw_ops.ExperimentalMapDataset
- tf.raw_ops.ExperimentalMatchingFilesDataset
- tf.raw_ops.ExperimentalMaxIntraOpParallelismDataset
- tf.raw_ops.ExperimentalNonSerializableDataset
- tf.raw_ops.ExperimentalParallelInterleaveDataset
- tf.raw_ops.ExperimentalParseExampleDataset
- tf.raw_ops.ExperimentalPrivateThreadPoolDataset
- tf.raw_ops.ExperimentalRandomDataset
- tf.raw_ops.ExperimentalRebatchDataset
- tf.raw_ops.ExperimentalScanDataset
- tf.raw_ops.ExperimentalSetStatsAggregatorDataset
- tf.raw_ops.ExperimentalSleepDataset
- tf.raw_ops.ExperimentalSlidingWindowDataset
- tf.raw_ops.ExperimentalSqlDataset
- tf.raw_ops.ExperimentalStatsAggregatorHandle
- tf.raw_ops.ExperimentalStatsAggregatorSummary
- tf.raw_ops.ExperimentalTakeWhileDataset
- tf.raw_ops.ExperimentalThreadPoolDataset
- tf.raw_ops.ExperimentalThreadPoolHandle
- tf.raw_ops.ExperimentalUnbatchDataset
- tf.raw_ops.ExperimentalUniqueDataset
- tf.raw_ops.Expint
- tf.raw_ops.Expm1
- tf.raw_ops.ExtractGlimpse
- tf.raw_ops.ExtractGlimpseV2
- tf.raw_ops.ExtractImagePatches
- tf.raw_ops.ExtractJpegShape
- tf.raw_ops.ExtractVolumePatches
- tf.raw_ops.Fact
- tf.raw_ops.FakeParam
- tf.raw_ops.FakeQuantWithMinMaxArgs
- tf.raw_ops.FakeQuantWithMinMaxArgsGradient
- tf.raw_ops.FakeQuantWithMinMaxVars
- tf.raw_ops.FakeQuantWithMinMaxVarsGradient
- tf.raw_ops.FakeQuantWithMinMaxVarsPerChannel
- tf.raw_ops.FakeQuantWithMinMaxVarsPerChannelGradient
- tf.raw_ops.FakeQueue
- tf.raw_ops.FFT
- tf.raw_ops.FFT2D
- tf.raw_ops.FFT3D
- tf.raw_ops.FIFOQueue
- tf.raw_ops.FIFOQueueV2
- tf.raw_ops.Fill
- tf.raw_ops.FilterByLastComponentDataset
- tf.raw_ops.FilterDataset
- tf.raw_ops.Fingerprint
- tf.raw_ops.FixedLengthRecordDataset
- tf.raw_ops.FixedLengthRecordDatasetV2
- tf.raw_ops.FixedLengthRecordReader
- tf.raw_ops.FixedLengthRecordReaderV2
- tf.raw_ops.FixedUnigramCandidateSampler
- tf.raw_ops.FlatMapDataset
- tf.raw_ops.Floor
- tf.raw_ops.FloorDiv
- tf.raw_ops.FloorMod
- tf.raw_ops.FlushSummaryWriter
- tf.raw_ops.For
- tf.raw_ops.FractionalAvgPool
- tf.raw_ops.FractionalAvgPoolGrad
- tf.raw_ops.FractionalMaxPool
- tf.raw_ops.FractionalMaxPoolGrad
- tf.raw_ops.FresnelCos
- tf.raw_ops.FresnelSin
- tf.raw_ops.FusedBatchNorm
- tf.raw_ops.FusedBatchNormGrad
- tf.raw_ops.FusedBatchNormGradV2
- tf.raw_ops.FusedBatchNormGradV3
- tf.raw_ops.FusedBatchNormV2
- tf.raw_ops.FusedBatchNormV3
- tf.raw_ops.FusedPadConv2D
- tf.raw_ops.FusedResizeAndPadConv2D
- tf.raw_ops.Gather
- tf.raw_ops.GatherNd
- tf.raw_ops.GatherV2
- tf.raw_ops.GenerateBoundingBoxProposals
- tf.raw_ops.GenerateVocabRemapping
- tf.raw_ops.GeneratorDataset
- tf.raw_ops.GetSessionHandle
- tf.raw_ops.GetSessionHandleV2
- tf.raw_ops.GetSessionTensor
- tf.raw_ops.Greater
- tf.raw_ops.GreaterEqual
- tf.raw_ops.GroupByReducerDataset
- tf.raw_ops.GroupByWindowDataset
- tf.raw_ops.GRUBlockCell
- tf.raw_ops.GRUBlockCellGrad
- tf.raw_ops.GuaranteeConst
- tf.raw_ops.HashTable
- tf.raw_ops.HashTableV2
- tf.raw_ops.HistogramFixedWidth
- tf.raw_ops.HistogramSummary
- tf.raw_ops.HSVToRGB
- tf.raw_ops.Identity
- tf.raw_ops.IdentityN
- tf.raw_ops.IdentityReader
- tf.raw_ops.IdentityReaderV2
- tf.raw_ops.If
- tf.raw_ops.IFFT
- tf.raw_ops.IFFT2D
- tf.raw_ops.IFFT3D
- tf.raw_ops.Igamma
- tf.raw_ops.Igammac
- tf.raw_ops.IgammaGradA
- tf.raw_ops.IgnoreErrorsDataset
- tf.raw_ops.Imag
- tf.raw_ops.ImageProjectiveTransformV2
- tf.raw_ops.ImageSummary
- tf.raw_ops.ImmutableConst
- tf.raw_ops.ImportEvent
- tf.raw_ops.InfeedDequeue
- tf.raw_ops.InfeedDequeueTuple
- tf.raw_ops.InfeedEnqueue
- tf.raw_ops.InfeedEnqueuePrelinearizedBuffer
- tf.raw_ops.InfeedEnqueueTuple
- tf.raw_ops.InitializeTable
- tf.raw_ops.InitializeTableFromDataset
- tf.raw_ops.InitializeTableFromTextFile
- tf.raw_ops.InitializeTableFromTextFileV2
- tf.raw_ops.InitializeTableV2
- tf.raw_ops.InplaceAdd
- tf.raw_ops.InplaceSub
- tf.raw_ops.InplaceUpdate
- tf.raw_ops.InterleaveDataset
- tf.raw_ops.InTopK
- tf.raw_ops.InTopKV2
- tf.raw_ops.Inv
- tf.raw_ops.Invert
- tf.raw_ops.InvertPermutation
- tf.raw_ops.InvGrad
- tf.raw_ops.IRFFT
- tf.raw_ops.IRFFT2D
- tf.raw_ops.IRFFT3D
- tf.raw_ops.IsBoostedTreesEnsembleInitialized
- tf.raw_ops.IsBoostedTreesQuantileStreamResourceInitialized
- tf.raw_ops.IsFinite
- tf.raw_ops.IsInf
- tf.raw_ops.IsNan
- tf.raw_ops.IsVariableInitialized
- tf.raw_ops.Iterator
- tf.raw_ops.IteratorFromStringHandle
- tf.raw_ops.IteratorFromStringHandleV2
- tf.raw_ops.IteratorGetDevice
- tf.raw_ops.IteratorGetNext
- tf.raw_ops.IteratorGetNextAsOptional
- tf.raw_ops.IteratorGetNextSync
- tf.raw_ops.IteratorToStringHandle
- tf.raw_ops.IteratorV2
- tf.raw_ops.L2Loss
- tf.raw_ops.LatencyStatsDataset
- tf.raw_ops.LeakyRelu
- tf.raw_ops.LeakyReluGrad
- tf.raw_ops.LearnedUnigramCandidateSampler
- tf.raw_ops.LeftShift
- tf.raw_ops.LegacyParallelInterleaveDatasetV2
- tf.raw_ops.Less
- tf.raw_ops.LessEqual
- tf.raw_ops.Lgamma
- tf.raw_ops.LinSpace
- tf.raw_ops.ListDiff
- tf.raw_ops.LMDBDataset
- tf.raw_ops.LMDBReader
- tf.raw_ops.LoadAndRemapMatrix
- tf.raw_ops.LoadDataset
- tf.raw_ops.LoadTPUEmbeddingAdadeltaParameters
- tf.raw_ops.LoadTPUEmbeddingAdadeltaParametersGradAccumDebug
- tf.raw_ops.LoadTPUEmbeddingAdagradParameters
- tf.raw_ops.LoadTPUEmbeddingAdagradParametersGradAccumDebug
- tf.raw_ops.LoadTPUEmbeddingADAMParameters
- tf.raw_ops.LoadTPUEmbeddingADAMParametersGradAccumDebug
- tf.raw_ops.LoadTPUEmbeddingCenteredRMSPropParameters
- tf.raw_ops.LoadTPUEmbeddingFTRLParameters
- tf.raw_ops.LoadTPUEmbeddingFTRLParametersGradAccumDebug
- tf.raw_ops.LoadTPUEmbeddingMDLAdagradLightParameters
- tf.raw_ops.LoadTPUEmbeddingMomentumParameters
- tf.raw_ops.LoadTPUEmbeddingMomentumParametersGradAccumDebug
- tf.raw_ops.LoadTPUEmbeddingProximalAdagradParameters
- tf.raw_ops.LoadTPUEmbeddingProximalAdagradParametersGradAccumDebug
- tf.raw_ops.LoadTPUEmbeddingProximalYogiParameters
- tf.raw_ops.LoadTPUEmbeddingProximalYogiParametersGradAccumDebug
- tf.raw_ops.LoadTPUEmbeddingRMSPropParameters
- tf.raw_ops.LoadTPUEmbeddingRMSPropParametersGradAccumDebug
- tf.raw_ops.LoadTPUEmbeddingStochasticGradientDescentParameters
- tf.raw_ops.LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug
- tf.raw_ops.Log
- tf.raw_ops.Log1p
- tf.raw_ops.LogicalAnd
- tf.raw_ops.LogicalNot
- tf.raw_ops.LogicalOr
- tf.raw_ops.LogMatrixDeterminant
- tf.raw_ops.LogSoftmax
- tf.raw_ops.LogUniformCandidateSampler
- tf.raw_ops.LookupTableExport
- tf.raw_ops.LookupTableExportV2
- tf.raw_ops.LookupTableFind
- tf.raw_ops.LookupTableFindV2
- tf.raw_ops.LookupTableImport
- tf.raw_ops.LookupTableImportV2
- tf.raw_ops.LookupTableInsert
- tf.raw_ops.LookupTableInsertV2
- tf.raw_ops.LookupTableRemoveV2
- tf.raw_ops.LookupTableSize
- tf.raw_ops.LookupTableSizeV2
- tf.raw_ops.LoopCond
- tf.raw_ops.LowerBound
- tf.raw_ops.LRN
- tf.raw_ops.LRNGrad
- tf.raw_ops.LSTMBlockCell
- tf.raw_ops.LSTMBlockCellGrad
- tf.raw_ops.Lu
- tf.raw_ops.MakeIterator
- tf.raw_ops.MapAndBatchDataset
- tf.raw_ops.MapClear
- tf.raw_ops.MapDataset
- tf.raw_ops.MapDefun
- tf.raw_ops.MapIncompleteSize
- tf.raw_ops.MapPeek
- tf.raw_ops.MapSize
- tf.raw_ops.MapStage
- tf.raw_ops.MapUnstage
- tf.raw_ops.MapUnstageNoKey
- tf.raw_ops.MatchingFiles
- tf.raw_ops.MatchingFilesDataset
- tf.raw_ops.MatMul
- tf.raw_ops.MatrixBandPart
- tf.raw_ops.MatrixDeterminant
- tf.raw_ops.MatrixDiag
- tf.raw_ops.MatrixDiagPart
- tf.raw_ops.MatrixDiagPartV2
- tf.raw_ops.MatrixDiagPartV3
- tf.raw_ops.MatrixDiagV2
- tf.raw_ops.MatrixDiagV3
- tf.raw_ops.MatrixExponential
- tf.raw_ops.MatrixInverse
- tf.raw_ops.MatrixLogarithm
- tf.raw_ops.MatrixSetDiag
- tf.raw_ops.MatrixSetDiagV2
- tf.raw_ops.MatrixSetDiagV3
- tf.raw_ops.MatrixSolve
- tf.raw_ops.MatrixSolveLs
- tf.raw_ops.MatrixSquareRoot
- tf.raw_ops.MatrixTriangularSolve
- tf.raw_ops.Max
- tf.raw_ops.Maximum
- tf.raw_ops.MaxIntraOpParallelismDataset
- tf.raw_ops.MaxPool
- tf.raw_ops.MaxPool3D
- tf.raw_ops.MaxPool3DGrad
- tf.raw_ops.MaxPool3DGradGrad
- tf.raw_ops.MaxPoolGrad
- tf.raw_ops.MaxPoolGradGrad
- tf.raw_ops.MaxPoolGradGradV2
- tf.raw_ops.MaxPoolGradGradWithArgmax
- tf.raw_ops.MaxPoolGradV2
- tf.raw_ops.MaxPoolGradWithArgmax
- tf.raw_ops.MaxPoolV2
- tf.raw_ops.MaxPoolWithArgmax
- tf.raw_ops.Mean
- tf.raw_ops.Merge
- tf.raw_ops.MergeSummary
- tf.raw_ops.MergeV2Checkpoints
- tf.raw_ops.Mfcc
- tf.raw_ops.Min
- tf.raw_ops.Minimum
- tf.raw_ops.MirrorPad
- tf.raw_ops.MirrorPadGrad
- tf.raw_ops.Mod
- tf.raw_ops.ModelDataset
- tf.raw_ops.Mul
- tf.raw_ops.MulNoNan
- tf.raw_ops.MultiDeviceIterator
- tf.raw_ops.MultiDeviceIteratorFromStringHandle
- tf.raw_ops.MultiDeviceIteratorGetNextFromShard
- tf.raw_ops.MultiDeviceIteratorInit
- tf.raw_ops.MultiDeviceIteratorToStringHandle
- tf.raw_ops.Multinomial
- tf.raw_ops.MutableDenseHashTable
- tf.raw_ops.MutableDenseHashTableV2
- tf.raw_ops.MutableHashTable
- tf.raw_ops.MutableHashTableOfTensors
- tf.raw_ops.MutableHashTableOfTensorsV2
- tf.raw_ops.MutableHashTableV2
- tf.raw_ops.MutexLock
- tf.raw_ops.MutexV2
- tf.raw_ops.NcclAllReduce
- tf.raw_ops.NcclBroadcast
- tf.raw_ops.NcclReduce
- tf.raw_ops.Ndtri
- tf.raw_ops.Neg
- tf.raw_ops.NextAfter
- tf.raw_ops.NextIteration
- tf.raw_ops.NonDeterministicInts
- tf.raw_ops.NonMaxSuppression
- tf.raw_ops.NonMaxSuppressionV2
- tf.raw_ops.NonMaxSuppressionV3
- tf.raw_ops.NonMaxSuppressionV4
- tf.raw_ops.NonMaxSuppressionV5
- tf.raw_ops.NonMaxSuppressionWithOverlaps
- tf.raw_ops.NonSerializableDataset
- tf.raw_ops.NoOp
- tf.raw_ops.NotEqual
- tf.raw_ops.NthElement
- tf.raw_ops.OneHot
- tf.raw_ops.OneShotIterator
- tf.raw_ops.OnesLike
- tf.raw_ops.OptimizeDataset
- tf.raw_ops.OptionalFromValue
- tf.raw_ops.OptionalGetValue
- tf.raw_ops.OptionalHasValue
- tf.raw_ops.OptionalNone
- tf.raw_ops.OrderedMapClear
- tf.raw_ops.OrderedMapIncompleteSize
- tf.raw_ops.OrderedMapPeek
- tf.raw_ops.OrderedMapSize
- tf.raw_ops.OrderedMapStage
- tf.raw_ops.OrderedMapUnstage
- tf.raw_ops.OrderedMapUnstageNoKey
- tf.raw_ops.OutfeedDequeue
- tf.raw_ops.OutfeedDequeueTuple
- tf.raw_ops.OutfeedEnqueue
- tf.raw_ops.OutfeedEnqueueTuple
- tf.raw_ops.Pack
- tf.raw_ops.Pad
- tf.raw_ops.PaddedBatchDataset
- tf.raw_ops.PaddedBatchDatasetV2
- tf.raw_ops.PaddingFIFOQueue
- tf.raw_ops.PaddingFIFOQueueV2
- tf.raw_ops.PadV2
- tf.raw_ops.ParallelConcat
- tf.raw_ops.ParallelDynamicStitch
- tf.raw_ops.ParallelInterleaveDataset
- tf.raw_ops.ParallelInterleaveDatasetV2
- tf.raw_ops.ParallelInterleaveDatasetV3
- tf.raw_ops.ParallelInterleaveDatasetV4
- tf.raw_ops.ParallelMapDataset
- tf.raw_ops.ParallelMapDatasetV2
- tf.raw_ops.ParameterizedTruncatedNormal
- tf.raw_ops.ParseExample
- tf.raw_ops.ParseExampleDataset
- tf.raw_ops.ParseExampleDatasetV2
- tf.raw_ops.ParseExampleV2
- tf.raw_ops.ParseSequenceExample
- tf.raw_ops.ParseSequenceExampleV2
- tf.raw_ops.ParseSingleExample
- tf.raw_ops.ParseSingleSequenceExample
- tf.raw_ops.ParseTensor
- tf.raw_ops.PartitionedCall
- tf.raw_ops.Placeholder
- tf.raw_ops.PlaceholderV2
- tf.raw_ops.PlaceholderWithDefault
- tf.raw_ops.Polygamma
- tf.raw_ops.PopulationCount
- tf.raw_ops.Pow
- tf.raw_ops.PrefetchDataset
- tf.raw_ops.Prelinearize
- tf.raw_ops.PrelinearizeTuple
- tf.raw_ops.PreventGradient
- tf.raw_ops.Print
- tf.raw_ops.PrintV2
- tf.raw_ops.PriorityQueue
- tf.raw_ops.PriorityQueueV2
- tf.raw_ops.PrivateThreadPoolDataset
- tf.raw_ops.Prod
- tf.raw_ops.PyFunc
- tf.raw_ops.PyFuncStateless
- tf.raw_ops.Qr
- tf.raw_ops.QuantizeAndDequantize
- tf.raw_ops.QuantizeAndDequantizeV2
- tf.raw_ops.QuantizeAndDequantizeV3
- tf.raw_ops.QuantizedAdd
- tf.raw_ops.QuantizedAvgPool
- tf.raw_ops.QuantizedBatchNormWithGlobalNormalization
- tf.raw_ops.QuantizedBiasAdd
- tf.raw_ops.QuantizedConcat
- tf.raw_ops.QuantizedConv2D
- tf.raw_ops.QuantizedConv2DAndRelu
- tf.raw_ops.QuantizedConv2DAndReluAndRequantize
- tf.raw_ops.QuantizedConv2DAndRequantize
- tf.raw_ops.QuantizedConv2DPerChannel
- tf.raw_ops.QuantizedConv2DWithBias
- tf.raw_ops.QuantizedConv2DWithBiasAndRelu
- tf.raw_ops.QuantizedConv2DWithBiasAndReluAndRequantize
- tf.raw_ops.QuantizedConv2DWithBiasAndRequantize
- tf.raw_ops.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize
- tf.raw_ops.QuantizedConv2DWithBiasSumAndRelu
- tf.raw_ops.QuantizedConv2DWithBiasSumAndReluAndRequantize
- tf.raw_ops.QuantizedDepthwiseConv2D
- tf.raw_ops.QuantizedDepthwiseConv2DWithBias
- tf.raw_ops.QuantizedDepthwiseConv2DWithBiasAndRelu
- tf.raw_ops.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize
- tf.raw_ops.QuantizedInstanceNorm
- tf.raw_ops.QuantizedMatMul
- tf.raw_ops.QuantizedMatMulWithBias
- tf.raw_ops.QuantizedMatMulWithBiasAndDequantize
- tf.raw_ops.QuantizedMatMulWithBiasAndRelu
- tf.raw_ops.QuantizedMatMulWithBiasAndReluAndRequantize
- tf.raw_ops.QuantizedMatMulWithBiasAndRequantize
- tf.raw_ops.QuantizedMaxPool
- tf.raw_ops.QuantizedMul
- tf.raw_ops.QuantizeDownAndShrinkRange
- tf.raw_ops.QuantizedRelu
- tf.raw_ops.QuantizedRelu6
- tf.raw_ops.QuantizedReluX
- tf.raw_ops.QuantizedReshape
- tf.raw_ops.QuantizedResizeBilinear
- tf.raw_ops.QuantizeV2
- tf.raw_ops.QueueClose
- tf.raw_ops.QueueCloseV2
- tf.raw_ops.QueueDequeue
- tf.raw_ops.QueueDequeueMany
- tf.raw_ops.QueueDequeueManyV2
- tf.raw_ops.QueueDequeueUpTo
- tf.raw_ops.QueueDequeueUpToV2
- tf.raw_ops.QueueDequeueV2
- tf.raw_ops.QueueEnqueue
- tf.raw_ops.QueueEnqueueMany
- tf.raw_ops.QueueEnqueueManyV2
- tf.raw_ops.QueueEnqueueV2
- tf.raw_ops.QueueIsClosed
- tf.raw_ops.QueueIsClosedV2
- tf.raw_ops.QueueSize
- tf.raw_ops.QueueSizeV2
- tf.raw_ops.RaggedBincount
- tf.raw_ops.RaggedCountSparseOutput
- tf.raw_ops.RaggedCross
- tf.raw_ops.RaggedGather
- tf.raw_ops.RaggedRange
- tf.raw_ops.RaggedTensorFromVariant
- tf.raw_ops.RaggedTensorToSparse
- tf.raw_ops.RaggedTensorToTensor
- tf.raw_ops.RaggedTensorToVariant
- tf.raw_ops.RandomCrop
- tf.raw_ops.RandomDataset
- tf.raw_ops.RandomGamma
- tf.raw_ops.RandomGammaGrad
- tf.raw_ops.RandomPoisson
- tf.raw_ops.RandomPoissonV2
- tf.raw_ops.RandomShuffle
- tf.raw_ops.RandomShuffleQueue
- tf.raw_ops.RandomShuffleQueueV2
- tf.raw_ops.RandomStandardNormal
- tf.raw_ops.RandomUniform
- tf.raw_ops.RandomUniformInt
- tf.raw_ops.Range
- tf.raw_ops.RangeDataset
- tf.raw_ops.Rank
- tf.raw_ops.ReaderNumRecordsProduced
- tf.raw_ops.ReaderNumRecordsProducedV2
- tf.raw_ops.ReaderNumWorkUnitsCompleted
- tf.raw_ops.ReaderNumWorkUnitsCompletedV2
- tf.raw_ops.ReaderRead
- tf.raw_ops.ReaderReadUpTo
- tf.raw_ops.ReaderReadUpToV2
- tf.raw_ops.ReaderReadV2
- tf.raw_ops.ReaderReset
- tf.raw_ops.ReaderResetV2
- tf.raw_ops.ReaderRestoreState
- tf.raw_ops.ReaderRestoreStateV2
- tf.raw_ops.ReaderSerializeState
- tf.raw_ops.ReaderSerializeStateV2
- tf.raw_ops.ReadFile
- tf.raw_ops.ReadVariableOp
- tf.raw_ops.Real
- tf.raw_ops.RealDiv
- tf.raw_ops.RebatchDataset
- tf.raw_ops.Reciprocal
- tf.raw_ops.ReciprocalGrad
- tf.raw_ops.RecordInput
- tf.raw_ops.Recv
- tf.raw_ops.RecvTPUEmbeddingActivations
- tf.raw_ops.ReduceDataset
- tf.raw_ops.ReduceJoin
- tf.raw_ops.RefEnter
- tf.raw_ops.RefExit
- tf.raw_ops.RefIdentity
- tf.raw_ops.RefMerge
- tf.raw_ops.RefNextIteration
- tf.raw_ops.RefSelect
- tf.raw_ops.RefSwitch
- tf.raw_ops.RegexFullMatch
- tf.raw_ops.RegexReplace
- tf.raw_ops.RegisterDataset
- tf.raw_ops.Relu
- tf.raw_ops.Relu6
- tf.raw_ops.Relu6Grad
- tf.raw_ops.ReluGrad
- tf.raw_ops.RemoteCall
- tf.raw_ops.RepeatDataset
- tf.raw_ops.RequantizationRange
- tf.raw_ops.RequantizationRangePerChannel
- tf.raw_ops.Requantize
- tf.raw_ops.RequantizePerChannel
- tf.raw_ops.Reshape
- tf.raw_ops.ResizeArea
- tf.raw_ops.ResizeBicubic
- tf.raw_ops.ResizeBicubicGrad
- tf.raw_ops.ResizeBilinear
- tf.raw_ops.ResizeBilinearGrad
- tf.raw_ops.ResizeNearestNeighbor
- tf.raw_ops.ResizeNearestNeighborGrad
- tf.raw_ops.ResourceAccumulatorApplyGradient
- tf.raw_ops.ResourceAccumulatorNumAccumulated
- tf.raw_ops.ResourceAccumulatorSetGlobalStep
- tf.raw_ops.ResourceAccumulatorTakeGradient
- tf.raw_ops.ResourceApplyAdadelta
- tf.raw_ops.ResourceApplyAdagrad
- tf.raw_ops.ResourceApplyAdagradDA
- tf.raw_ops.ResourceApplyAdagradV2
- tf.raw_ops.ResourceApplyAdam
- tf.raw_ops.ResourceApplyAdaMax
- tf.raw_ops.ResourceApplyAdamWithAmsgrad
- tf.raw_ops.ResourceApplyAddSign
- tf.raw_ops.ResourceApplyCenteredRMSProp
- tf.raw_ops.ResourceApplyFtrl
- tf.raw_ops.ResourceApplyFtrlV2
- tf.raw_ops.ResourceApplyGradientDescent
- tf.raw_ops.ResourceApplyKerasMomentum
- tf.raw_ops.ResourceApplyMomentum
- tf.raw_ops.ResourceApplyPowerSign
- tf.raw_ops.ResourceApplyProximalAdagrad
- tf.raw_ops.ResourceApplyProximalGradientDescent
- tf.raw_ops.ResourceApplyRMSProp
- tf.raw_ops.ResourceConditionalAccumulator
- tf.raw_ops.ResourceCountUpTo
- tf.raw_ops.ResourceGather
- tf.raw_ops.ResourceGatherNd
- tf.raw_ops.ResourceScatterAdd
- tf.raw_ops.ResourceScatterDiv
- tf.raw_ops.ResourceScatterMax
- tf.raw_ops.ResourceScatterMin
- tf.raw_ops.ResourceScatterMul
- tf.raw_ops.ResourceScatterNdAdd
- tf.raw_ops.ResourceScatterNdMax
- tf.raw_ops.ResourceScatterNdMin
- tf.raw_ops.ResourceScatterNdSub
- tf.raw_ops.ResourceScatterNdUpdate
- tf.raw_ops.ResourceScatterSub
- tf.raw_ops.ResourceScatterUpdate
- tf.raw_ops.ResourceSparseApplyAdadelta
- tf.raw_ops.ResourceSparseApplyAdagrad
- tf.raw_ops.ResourceSparseApplyAdagradDA
- tf.raw_ops.ResourceSparseApplyAdagradV2
- tf.raw_ops.ResourceSparseApplyCenteredRMSProp
- tf.raw_ops.ResourceSparseApplyFtrl
- tf.raw_ops.ResourceSparseApplyFtrlV2
- tf.raw_ops.ResourceSparseApplyKerasMomentum
- tf.raw_ops.ResourceSparseApplyMomentum
- tf.raw_ops.ResourceSparseApplyProximalAdagrad
- tf.raw_ops.ResourceSparseApplyProximalGradientDescent
- tf.raw_ops.ResourceSparseApplyRMSProp
- tf.raw_ops.ResourceStridedSliceAssign
- tf.raw_ops.Restore
- tf.raw_ops.RestoreSlice
- tf.raw_ops.RestoreV2
- tf.raw_ops.RetrieveTPUEmbeddingAdadeltaParameters
- tf.raw_ops.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug
- tf.raw_ops.RetrieveTPUEmbeddingAdagradParameters
- tf.raw_ops.RetrieveTPUEmbeddingAdagradParametersGradAccumDebug
- tf.raw_ops.RetrieveTPUEmbeddingADAMParameters
- tf.raw_ops.RetrieveTPUEmbeddingADAMParametersGradAccumDebug
- tf.raw_ops.RetrieveTPUEmbeddingCenteredRMSPropParameters
- tf.raw_ops.RetrieveTPUEmbeddingFTRLParameters
- tf.raw_ops.RetrieveTPUEmbeddingFTRLParametersGradAccumDebug
- tf.raw_ops.RetrieveTPUEmbeddingMDLAdagradLightParameters
- tf.raw_ops.RetrieveTPUEmbeddingMomentumParameters
- tf.raw_ops.RetrieveTPUEmbeddingMomentumParametersGradAccumDebug
- tf.raw_ops.RetrieveTPUEmbeddingProximalAdagradParameters
- tf.raw_ops.RetrieveTPUEmbeddingProximalAdagradParametersGradAccumDebug
- tf.raw_ops.RetrieveTPUEmbeddingProximalYogiParameters
- tf.raw_ops.RetrieveTPUEmbeddingProximalYogiParametersGradAccumDebug
- tf.raw_ops.RetrieveTPUEmbeddingRMSPropParameters
- tf.raw_ops.RetrieveTPUEmbeddingRMSPropParametersGradAccumDebug
- tf.raw_ops.RetrieveTPUEmbeddingStochasticGradientDescentParameters
- tf.raw_ops.RetrieveTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug
- tf.raw_ops.Reverse
- tf.raw_ops.ReverseSequence
- tf.raw_ops.ReverseV2
- tf.raw_ops.RFFT
- tf.raw_ops.RFFT2D
- tf.raw_ops.RFFT3D
- tf.raw_ops.RGBToHSV
- tf.raw_ops.RightShift
- tf.raw_ops.Rint
- tf.raw_ops.RngSkip
- tf.raw_ops.Roll
- tf.raw_ops.Round
- tf.raw_ops.Rsqrt
- tf.raw_ops.RsqrtGrad
- tf.raw_ops.SampleDistortedBoundingBox
- tf.raw_ops.SampleDistortedBoundingBoxV2
- tf.raw_ops.SamplingDataset
- tf.raw_ops.Save
- tf.raw_ops.SaveDataset
- tf.raw_ops.SaveSlices
- tf.raw_ops.SaveV2
- tf.raw_ops.ScalarSummary
- tf.raw_ops.ScaleAndTranslate
- tf.raw_ops.ScaleAndTranslateGrad
- tf.raw_ops.ScanDataset
- tf.raw_ops.ScatterAdd
- tf.raw_ops.ScatterDiv
- tf.raw_ops.ScatterMax
- tf.raw_ops.ScatterMin
- tf.raw_ops.ScatterMul
- tf.raw_ops.ScatterNd
- tf.raw_ops.ScatterNdAdd
- tf.raw_ops.ScatterNdMax
- tf.raw_ops.ScatterNdMin
- tf.raw_ops.ScatterNdNonAliasingAdd
- tf.raw_ops.ScatterNdSub
- tf.raw_ops.ScatterNdUpdate
- tf.raw_ops.ScatterSub
- tf.raw_ops.ScatterUpdate
- tf.raw_ops.SdcaFprint
- tf.raw_ops.SdcaOptimizer
- tf.raw_ops.SdcaOptimizerV2
- tf.raw_ops.SdcaShrinkL1
- tf.raw_ops.SegmentMax
- tf.raw_ops.SegmentMean
- tf.raw_ops.SegmentMin
- tf.raw_ops.SegmentProd
- tf.raw_ops.SegmentSum
- tf.raw_ops.Select
- tf.raw_ops.SelectV2
- tf.raw_ops.SelfAdjointEig
- tf.raw_ops.SelfAdjointEigV2
- tf.raw_ops.Selu
- tf.raw_ops.SeluGrad
- tf.raw_ops.Send
- tf.raw_ops.SendTPUEmbeddingGradients
- tf.raw_ops.SerializeIterator
- tf.raw_ops.SerializeManySparse
- tf.raw_ops.SerializeSparse
- tf.raw_ops.SerializeTensor
- tf.raw_ops.SetSize
- tf.raw_ops.SetStatsAggregatorDataset
- tf.raw_ops.Shape
- tf.raw_ops.ShapeN
- tf.raw_ops.ShardDataset
- tf.raw_ops.ShardedFilename
- tf.raw_ops.ShardedFilespec
- tf.raw_ops.ShuffleAndRepeatDataset
- tf.raw_ops.ShuffleAndRepeatDatasetV2
- tf.raw_ops.ShuffleDataset
- tf.raw_ops.ShuffleDatasetV2
- tf.raw_ops.ShuffleDatasetV3
- tf.raw_ops.ShutdownDistributedTPU
- tf.raw_ops.Sigmoid
- tf.raw_ops.SigmoidGrad
- tf.raw_ops.Sign
- tf.raw_ops.Sin
- tf.raw_ops.Sinh
- tf.raw_ops.Size
- tf.raw_ops.SkipDataset
- tf.raw_ops.SleepDataset
- tf.raw_ops.Slice
- tf.raw_ops.SlidingWindowDataset
- tf.raw_ops.Snapshot
- tf.raw_ops.SnapshotDataset
- tf.raw_ops.SnapshotDatasetV2
- tf.raw_ops.SobolSample
- tf.raw_ops.Softmax
- tf.raw_ops.SoftmaxCrossEntropyWithLogits
- tf.raw_ops.Softplus
- tf.raw_ops.SoftplusGrad
- tf.raw_ops.Softsign
- tf.raw_ops.SoftsignGrad
- tf.raw_ops.SpaceToBatch
- tf.raw_ops.SpaceToBatchND
- tf.raw_ops.SpaceToDepth
- tf.raw_ops.SparseAccumulatorApplyGradient
- tf.raw_ops.SparseAccumulatorTakeGradient
- tf.raw_ops.SparseAdd
- tf.raw_ops.SparseAddGrad
- tf.raw_ops.SparseApplyAdadelta
- tf.raw_ops.SparseApplyAdagrad
- tf.raw_ops.SparseApplyAdagradDA
- tf.raw_ops.SparseApplyAdagradV2
- tf.raw_ops.SparseApplyCenteredRMSProp
- tf.raw_ops.SparseApplyFtrl
- tf.raw_ops.SparseApplyFtrlV2
- tf.raw_ops.SparseApplyMomentum
- tf.raw_ops.SparseApplyProximalAdagrad
- tf.raw_ops.SparseApplyProximalGradientDescent
- tf.raw_ops.SparseApplyRMSProp
- tf.raw_ops.SparseBincount
- tf.raw_ops.SparseConcat
- tf.raw_ops.SparseConditionalAccumulator
- tf.raw_ops.SparseCountSparseOutput
- tf.raw_ops.SparseCross
- tf.raw_ops.SparseCrossHashed
- tf.raw_ops.SparseCrossV2
- tf.raw_ops.SparseDenseCwiseAdd
- tf.raw_ops.SparseDenseCwiseDiv
- tf.raw_ops.SparseDenseCwiseMul
- tf.raw_ops.SparseFillEmptyRows
- tf.raw_ops.SparseFillEmptyRowsGrad
- tf.raw_ops.SparseMatMul
- tf.raw_ops.SparseMatrixAdd
- tf.raw_ops.SparseMatrixMatMul
- tf.raw_ops.SparseMatrixMul
- tf.raw_ops.SparseMatrixNNZ
- tf.raw_ops.SparseMatrixOrderingAMD
- tf.raw_ops.SparseMatrixSoftmax
- tf.raw_ops.SparseMatrixSoftmaxGrad
- tf.raw_ops.SparseMatrixSparseCholesky
- tf.raw_ops.SparseMatrixSparseMatMul
- tf.raw_ops.SparseMatrixTranspose
- tf.raw_ops.SparseMatrixZeros
- tf.raw_ops.SparseReduceMax
- tf.raw_ops.SparseReduceMaxSparse
- tf.raw_ops.SparseReduceSum
- tf.raw_ops.SparseReduceSumSparse
- tf.raw_ops.SparseReorder
- tf.raw_ops.SparseReshape
- tf.raw_ops.SparseSegmentMean
- tf.raw_ops.SparseSegmentMeanGrad
- tf.raw_ops.SparseSegmentMeanWithNumSegments
- tf.raw_ops.SparseSegmentSqrtN
- tf.raw_ops.SparseSegmentSqrtNGrad
- tf.raw_ops.SparseSegmentSqrtNWithNumSegments
- tf.raw_ops.SparseSegmentSum
- tf.raw_ops.SparseSegmentSumWithNumSegments
- tf.raw_ops.SparseSlice
- tf.raw_ops.SparseSliceGrad
- tf.raw_ops.SparseSoftmax
- tf.raw_ops.SparseSoftmaxCrossEntropyWithLogits
- tf.raw_ops.SparseSparseMaximum
- tf.raw_ops.SparseSparseMinimum
- tf.raw_ops.SparseSplit
- tf.raw_ops.SparseTensorDenseAdd
- tf.raw_ops.SparseTensorDenseMatMul
- tf.raw_ops.SparseTensorSliceDataset
- tf.raw_ops.SparseTensorToCSRSparseMatrix
- tf.raw_ops.SparseToDense
- tf.raw_ops.SparseToSparseSetOperation
- tf.raw_ops.Spence
- tf.raw_ops.Split
- tf.raw_ops.SplitV
- tf.raw_ops.SqlDataset
- tf.raw_ops.Sqrt
- tf.raw_ops.SqrtGrad
- tf.raw_ops.Square
- tf.raw_ops.SquaredDifference
- tf.raw_ops.Squeeze
- tf.raw_ops.Stack
- tf.raw_ops.StackClose
- tf.raw_ops.StackCloseV2
- tf.raw_ops.StackPop
- tf.raw_ops.StackPopV2
- tf.raw_ops.StackPush
- tf.raw_ops.StackPushV2
- tf.raw_ops.StackV2
- tf.raw_ops.Stage
- tf.raw_ops.StageClear
- tf.raw_ops.StagePeek
- tf.raw_ops.StageSize
- tf.raw_ops.StatefulPartitionedCall
- tf.raw_ops.StatefulRandomBinomial
- tf.raw_ops.StatefulStandardNormal
- tf.raw_ops.StatefulStandardNormalV2
- tf.raw_ops.StatefulTruncatedNormal
- tf.raw_ops.StatefulUniform
- tf.raw_ops.StatefulUniformFullInt
- tf.raw_ops.StatefulUniformInt
- tf.raw_ops.StatelessIf
- tf.raw_ops.StatelessMultinomial
- tf.raw_ops.StatelessParameterizedTruncatedNormal
- tf.raw_ops.StatelessRandomBinomial
- tf.raw_ops.StatelessRandomGammaV2
- tf.raw_ops.StatelessRandomNormal
- tf.raw_ops.StatelessRandomPoisson
- tf.raw_ops.StatelessRandomUniform
- tf.raw_ops.StatelessRandomUniformFullInt
- tf.raw_ops.StatelessRandomUniformInt
- tf.raw_ops.StatelessTruncatedNormal
- tf.raw_ops.StatelessWhile
- tf.raw_ops.StaticRegexFullMatch
- tf.raw_ops.StaticRegexReplace
- tf.raw_ops.StatsAggregatorHandle
- tf.raw_ops.StatsAggregatorHandleV2
- tf.raw_ops.StatsAggregatorSetSummaryWriter
- tf.raw_ops.StatsAggregatorSummary
- tf.raw_ops.StopGradient
- tf.raw_ops.StridedSlice
- tf.raw_ops.StridedSliceAssign
- tf.raw_ops.StridedSliceGrad
- tf.raw_ops.StringFormat
- tf.raw_ops.StringJoin
- tf.raw_ops.StringLength
- tf.raw_ops.StringLower
- tf.raw_ops.StringNGrams
- tf.raw_ops.StringSplit
- tf.raw_ops.StringSplitV2
- tf.raw_ops.StringStrip
- tf.raw_ops.StringToHashBucket
- tf.raw_ops.StringToHashBucketFast
- tf.raw_ops.StringToHashBucketStrong
- tf.raw_ops.StringToNumber
- tf.raw_ops.StringUpper
- tf.raw_ops.Sub
- tf.raw_ops.Substr
- tf.raw_ops.Sum
- tf.raw_ops.SummaryWriter
- tf.raw_ops.Svd
- tf.raw_ops.Switch
- tf.raw_ops.SymbolicGradient
- tf.raw_ops.TakeDataset
- tf.raw_ops.TakeManySparseFromTensorsMap
- tf.raw_ops.TakeWhileDataset
- tf.raw_ops.Tan
- tf.raw_ops.Tanh
- tf.raw_ops.TanhGrad
- tf.raw_ops.TemporaryVariable
- tf.raw_ops.TensorArray
- tf.raw_ops.TensorArrayClose
- tf.raw_ops.TensorArrayCloseV2
- tf.raw_ops.TensorArrayCloseV3
- tf.raw_ops.TensorArrayConcat
- tf.raw_ops.TensorArrayConcatV2
- tf.raw_ops.TensorArrayConcatV3
- tf.raw_ops.TensorArrayGather
- tf.raw_ops.TensorArrayGatherV2
- tf.raw_ops.TensorArrayGatherV3
- tf.raw_ops.TensorArrayGrad
- tf.raw_ops.TensorArrayGradV2
- tf.raw_ops.TensorArrayGradV3
- tf.raw_ops.TensorArrayGradWithShape
- tf.raw_ops.TensorArrayPack
- tf.raw_ops.TensorArrayRead
- tf.raw_ops.TensorArrayReadV2
- tf.raw_ops.TensorArrayReadV3
- tf.raw_ops.TensorArrayScatter
- tf.raw_ops.TensorArrayScatterV2
- tf.raw_ops.TensorArrayScatterV3
- tf.raw_ops.TensorArraySize
- tf.raw_ops.TensorArraySizeV2
- tf.raw_ops.TensorArraySizeV3
- tf.raw_ops.TensorArraySplit
- tf.raw_ops.TensorArraySplitV2
- tf.raw_ops.TensorArraySplitV3
- tf.raw_ops.TensorArrayUnpack
- tf.raw_ops.TensorArrayV2
- tf.raw_ops.TensorArrayV3
- tf.raw_ops.TensorArrayWrite
- tf.raw_ops.TensorArrayWriteV2
- tf.raw_ops.TensorArrayWriteV3
- tf.raw_ops.TensorDataset
- tf.raw_ops.TensorListConcat
- tf.raw_ops.TensorListConcatLists
- tf.raw_ops.TensorListConcatV2
- tf.raw_ops.TensorListElementShape
- tf.raw_ops.TensorListFromTensor
- tf.raw_ops.TensorListGather
- tf.raw_ops.TensorListGetItem
- tf.raw_ops.TensorListLength
- tf.raw_ops.TensorListPopBack
- tf.raw_ops.TensorListPushBack
- tf.raw_ops.TensorListPushBackBatch
- tf.raw_ops.TensorListReserve
- tf.raw_ops.TensorListResize
- tf.raw_ops.TensorListScatter
- tf.raw_ops.TensorListScatterIntoExistingList
- tf.raw_ops.TensorListScatterV2
- tf.raw_ops.TensorListSetItem
- tf.raw_ops.TensorListSplit
- tf.raw_ops.TensorListStack
- tf.raw_ops.TensorScatterAdd
- tf.raw_ops.TensorScatterMax
- tf.raw_ops.TensorScatterMin
- tf.raw_ops.TensorScatterSub
- tf.raw_ops.TensorScatterUpdate
- tf.raw_ops.TensorSliceDataset
- tf.raw_ops.TensorStridedSliceUpdate
- tf.raw_ops.TensorSummary
- tf.raw_ops.TensorSummaryV2
- tf.raw_ops.TextLineDataset
- tf.raw_ops.TextLineReader
- tf.raw_ops.TextLineReaderV2
- tf.raw_ops.TFRecordDataset
- tf.raw_ops.TFRecordReader
- tf.raw_ops.TFRecordReaderV2
- tf.raw_ops.ThreadPoolDataset
- tf.raw_ops.ThreadPoolHandle
- tf.raw_ops.ThreadUnsafeUnigramCandidateSampler
- tf.raw_ops.Tile
- tf.raw_ops.TileGrad
- tf.raw_ops.Timestamp
- tf.raw_ops.ToBool
- tf.raw_ops.TopK
- tf.raw_ops.TopKV2
- tf.raw_ops.TPUCompilationResult
- tf.raw_ops.TPUEmbeddingActivations
- tf.raw_ops.TPUOrdinalSelector
- tf.raw_ops.TPUPartitionedCall
- tf.raw_ops.TPUReplicatedInput
- tf.raw_ops.TPUReplicatedOutput
- tf.raw_ops.TPUReplicateMetadata
- tf.raw_ops.Transpose
- tf.raw_ops.TridiagonalMatMul
- tf.raw_ops.TridiagonalSolve
- tf.raw_ops.TruncateDiv
- tf.raw_ops.TruncatedNormal
- tf.raw_ops.TruncateMod
- tf.raw_ops.Unbatch
- tf.raw_ops.UnbatchDataset
- tf.raw_ops.UnbatchGrad
- tf.raw_ops.UncompressElement
- tf.raw_ops.UnicodeDecode
- tf.raw_ops.UnicodeDecodeWithOffsets
- tf.raw_ops.UnicodeEncode
- tf.raw_ops.UnicodeScript
- tf.raw_ops.UnicodeTranscode
- tf.raw_ops.UniformCandidateSampler
- tf.raw_ops.Unique
- tf.raw_ops.UniqueDataset
- tf.raw_ops.UniqueV2
- tf.raw_ops.UniqueWithCounts
- tf.raw_ops.UniqueWithCountsV2
- tf.raw_ops.Unpack
- tf.raw_ops.UnravelIndex
- tf.raw_ops.UnsortedSegmentJoin
- tf.raw_ops.UnsortedSegmentMax
- tf.raw_ops.UnsortedSegmentMin
- tf.raw_ops.UnsortedSegmentProd
- tf.raw_ops.UnsortedSegmentSum
- tf.raw_ops.Unstage
- tf.raw_ops.UnwrapDatasetVariant
- tf.raw_ops.UpperBound
- tf.raw_ops.VarHandleOp
- tf.raw_ops.Variable
- tf.raw_ops.VariableShape
- tf.raw_ops.VariableV2
- tf.raw_ops.VarIsInitializedOp
- tf.raw_ops.Where
- tf.raw_ops.While
- tf.raw_ops.WholeFileReader
- tf.raw_ops.WholeFileReaderV2
- tf.raw_ops.WindowDataset
- tf.raw_ops.WorkerHeartbeat
- tf.raw_ops.WrapDatasetVariant
- tf.raw_ops.WriteAudioSummary
- tf.raw_ops.WriteFile
- tf.raw_ops.WriteGraphSummary
- tf.raw_ops.WriteHistogramSummary
- tf.raw_ops.WriteImageSummary
- tf.raw_ops.WriteRawProtoSummary
- tf.raw_ops.WriteScalarSummary
- tf.raw_ops.WriteSummary
- tf.raw_ops.Xdivy
- tf.raw_ops.Xlog1py
- tf.raw_ops.Xlogy
- tf.raw_ops.ZerosLike
- tf.raw_ops.Zeta
- tf.raw_ops.ZipDataset
- tf.saved_model
- tf.sets
-
tf.signal
- tf.signal
- 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_mdct
- tf.signal.inverse_stft
- tf.signal.inverse_stft_window_fn
- tf.signal.irfft
- tf.signal.irfft2d
- tf.signal.irfft3d
- tf.signal.kaiser_bessel_derived_window
- tf.signal.kaiser_window
- tf.signal.linear_to_mel_weight_matrix
- tf.signal.mdct
- tf.signal.mfccs_from_log_mel_spectrograms
- tf.signal.overlap_and_add
- tf.signal.rfft
- tf.signal.rfft2d
- tf.signal.rfft3d
- tf.signal.stft
- tf.signal.vorbis_window
-
tf.sparse
- tf.sparse
- tf.sparse.add
- tf.sparse.bincount
- 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.SparseTensor
- tf.sparse.split
- tf.sparse.to_dense
- tf.sparse.to_indicator
- tf.sparse.transpose
-
tf.strings
- tf.strings
- 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
-
tf.summary
- tf.summary
- tf.summary.audio
- tf.summary.create_file_writer
- tf.summary.create_noop_writer
- tf.summary.experimental
- tf.summary.experimental.get_step
- tf.summary.experimental.set_step
- tf.summary.experimental.summary_scope
- tf.summary.experimental.write_raw_pb
- tf.summary.flush
- tf.summary.histogram
- tf.summary.image
- tf.summary.record_if
- tf.summary.scalar
- tf.summary.should_record_summaries
- tf.summary.SummaryWriter
- tf.summary.text
- tf.summary.trace_export
- tf.summary.trace_off
- tf.summary.trace_on
- tf.summary.write
- tf.sysconfig
-
tf.test
- tf.test
- tf.test.assert_equal_graph_def
- tf.test.Benchmark
- 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_built_with_xla
- tf.test.is_gpu_available
- tf.test.main
- tf.test.TestCase
- tf.test.TestCase.failureException
-
tf.tpu
- tf.tpu
- tf.tpu.experimental
- tf.tpu.experimental.DeviceAssignment
- tf.tpu.experimental.embedding
- tf.tpu.experimental.embedding.Adagrad
- tf.tpu.experimental.embedding.Adam
- tf.tpu.experimental.embedding.FeatureConfig
- tf.tpu.experimental.embedding.SGD
- tf.tpu.experimental.embedding.TableConfig
- tf.tpu.experimental.embedding.TPUEmbedding
- tf.tpu.experimental.initialize_tpu_system
- tf.tpu.experimental.shutdown_tpu_system
- tf.tpu.experimental.Topology
- tf.tpu.experimental.TPUSystemMetadata
-
tf.train
- tf.train
- tf.train.BytesList
- tf.train.Checkpoint
- tf.train.CheckpointManager
- tf.train.CheckpointOptions
- tf.train.checkpoints_iterator
- tf.train.ClusterDef
- tf.train.ClusterSpec
- tf.train.Coordinator
- tf.train.Example
- tf.train.experimental
- tf.train.experimental.disable_mixed_precision_graph_rewrite
- tf.train.experimental.enable_mixed_precision_graph_rewrite
- tf.train.experimental.PythonState
- tf.train.ExponentialMovingAverage
- tf.train.Feature
- tf.train.FeatureList
- tf.train.FeatureLists
- tf.train.FeatureLists.FeatureListEntry
- tf.train.Features
- tf.train.Features.FeatureEntry
- tf.train.FloatList
- tf.train.get_checkpoint_state
- tf.train.Int64List
- tf.train.JobDef
- tf.train.JobDef.TasksEntry
- tf.train.latest_checkpoint
- tf.train.list_variables
- tf.train.load_checkpoint
- tf.train.load_variable
- tf.train.SequenceExample
- tf.train.ServerDef
- tf.version
- tf.xla