Primary symbols
- tf
- tf.AggregationMethod
- tf.Assert
- tf.CriticalSection
- tf.DType
- tf.DeviceSpec
- tf.GradientTape
- tf.Graph
- tf.IndexedSlices
- tf.IndexedSlicesSpec
- tf.Module
- tf.Operation
- tf.OptionalSpec
- tf.RaggedTensor
- tf.RaggedTensorSpec
- tf.RegisterGradient
- tf.SparseTensor
- tf.SparseTensorSpec
- tf.Tensor
- tf.TensorArray
- tf.TensorArraySpec
- tf.TensorShape
- tf.TensorSpec
- tf.TypeSpec
- tf.UnconnectedGradients
- tf.Variable
- tf.Variable.SaveSliceInfo
- tf.VariableAggregation
- tf.VariableSynchronization
- tf.abs
- tf.acos
- tf.acosh
- tf.add
- tf.add_n
- tf.approx_top_k
- tf.argmax
- tf.argmin
- tf.argsort
- tf.as_dtype
- tf.as_string
- tf.asin
- tf.asinh
- tf.assert_equal
- tf.assert_greater
- tf.assert_less
- tf.assert_rank
- tf.atan
- tf.atan2
- tf.atanh
- tf.audio
- tf.audio.decode_wav
- tf.audio.encode_wav
- tf.autodiff
- tf.autodiff.ForwardAccumulator
- tf.autodiff.GradientTape
- tf.autograph
- tf.autograph.experimental
- tf.autograph.experimental.Feature
- tf.autograph.experimental.do_not_convert
- tf.autograph.experimental.set_loop_options
- tf.autograph.set_verbosity
- tf.autograph.to_code
- tf.autograph.to_graph
- tf.autograph.trace
- tf.batch_to_space
- tf.bitcast
- tf.bitwise
- tf.bitwise.bitwise_and
- tf.bitwise.bitwise_or
- tf.bitwise.bitwise_xor
- tf.bitwise.invert
- tf.bitwise.left_shift
- tf.bitwise.right_shift
- tf.boolean_mask
- tf.broadcast_dynamic_shape
- tf.broadcast_static_shape
- tf.broadcast_to
- tf.case
- tf.cast
- tf.clip_by_global_norm
- tf.clip_by_norm
- tf.clip_by_value
- tf.compat
- 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.complex
- tf.concat
- tf.cond
- tf.config
- tf.config.LogicalDevice
- tf.config.LogicalDeviceConfiguration
- tf.config.PhysicalDevice
- tf.config.experimental
- tf.config.experimental.ClusterDeviceFilters
- tf.config.experimental.VirtualDeviceConfiguration
- tf.config.experimental.disable_mlir_bridge
- tf.config.experimental.enable_mlir_bridge
- tf.config.experimental.enable_op_determinism
- tf.config.experimental.enable_tensor_float_32_execution
- tf.config.experimental.get_device_details
- tf.config.experimental.get_device_policy
- tf.config.experimental.get_memory_growth
- tf.config.experimental.get_memory_info
- tf.config.experimental.get_memory_usage
- tf.config.experimental.get_synchronous_execution
- tf.config.experimental.get_virtual_device_configuration
- tf.config.experimental.get_visible_devices
- tf.config.experimental.list_logical_devices
- tf.config.experimental.list_physical_devices
- tf.config.experimental.reset_memory_stats
- tf.config.experimental.set_device_policy
- tf.config.experimental.set_memory_growth
- tf.config.experimental.set_synchronous_execution
- tf.config.experimental.set_virtual_device_configuration
- tf.config.experimental.set_visible_devices
- tf.config.experimental.tensor_float_32_execution_enabled
- 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.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.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.constant
- tf.constant_initializer
- tf.control_dependencies
- tf.conv
- tf.conv2d_backprop_filter_v2
- tf.conv2d_backprop_input_v2
- tf.convert_to_tensor
- tf.cos
- tf.cosh
- tf.cumsum
- tf.custom_gradient
- tf.data
- tf.data.Dataset
- tf.data.DatasetSpec
- tf.data.FixedLengthRecordDataset
- tf.data.Iterator
- tf.data.IteratorSpec
- tf.data.NumpyIterator
- tf.data.Options
- tf.data.TFRecordDataset
- tf.data.TextLineDataset
- tf.data.ThreadingOptions
- tf.data.experimental
- tf.data.experimental.AutoShardPolicy
- tf.data.experimental.AutotuneAlgorithm
- tf.data.experimental.AutotuneOptions
- tf.data.experimental.Counter
- tf.data.experimental.CsvDataset
- tf.data.experimental.DatasetInitializer
- tf.data.experimental.DistributeOptions
- tf.data.experimental.ExternalStatePolicy
- tf.data.experimental.OptimizationOptions
- tf.data.experimental.Optional
- tf.data.experimental.RandomDataset
- tf.data.experimental.Reducer
- tf.data.experimental.SqlDataset
- tf.data.experimental.TFRecordWriter
- tf.data.experimental.ThreadingOptions
- tf.data.experimental.assert_cardinality
- tf.data.experimental.at
- tf.data.experimental.bucket_by_sequence_length
- tf.data.experimental.cardinality
- tf.data.experimental.choose_from_datasets
- tf.data.experimental.copy_to_device
- tf.data.experimental.dense_to_ragged_batch
- tf.data.experimental.dense_to_sparse_batch
- tf.data.experimental.enable_debug_mode
- tf.data.experimental.enumerate_dataset
- tf.data.experimental.from_list
- 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.index_table_from_dataset
- 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.pad_to_cardinality
- tf.data.experimental.parallel_interleave
- tf.data.experimental.parse_example_dataset
- tf.data.experimental.prefetch_to_device
- tf.data.experimental.rejection_resample
- tf.data.experimental.sample_from_datasets
- tf.data.experimental.save
- tf.data.experimental.scan
- tf.data.experimental.service
- tf.data.experimental.service.CrossTrainerCache
- tf.data.experimental.service.DispatchServer
- tf.data.experimental.service.DispatcherConfig
- tf.data.experimental.service.ShardingPolicy
- tf.data.experimental.service.WorkerConfig
- tf.data.experimental.service.WorkerServer
- tf.data.experimental.service.distribute
- tf.data.experimental.service.from_dataset_id
- tf.data.experimental.service.register_dataset
- tf.data.experimental.shuffle_and_repeat
- tf.data.experimental.snapshot
- tf.data.experimental.table_from_dataset
- tf.data.experimental.take_while
- tf.data.experimental.to_variant
- tf.data.experimental.unbatch
- tf.data.experimental.unique
- 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.disable_traceback_filtering
- tf.debugging.enable_check_numerics
- tf.debugging.enable_traceback_filtering
- 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.is_traceback_filtering_enabled
- tf.debugging.set_log_device_placement
- tf.device
- tf.distribute
- tf.distribute.CrossDeviceOps
- tf.distribute.DistributedDataset
- tf.distribute.DistributedIterator
- tf.distribute.DistributedValues
- tf.distribute.HierarchicalCopyAllReduce
- tf.distribute.InputContext
- tf.distribute.InputOptions
- tf.distribute.InputReplicationMode
- tf.distribute.MirroredStrategy
- tf.distribute.MultiWorkerMirroredStrategy
- tf.distribute.NcclAllReduce
- tf.distribute.OneDeviceStrategy
- tf.distribute.ParameterServerStrategy
- 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.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.coordinator
- tf.distribute.coordinator.ClusterCoordinator
- tf.distribute.coordinator.PerWorkerValue
- tf.distribute.coordinator.RemoteValue
- tf.distribute.coordinator.experimental_get_current_worker_index
- tf.distribute.experimental
- tf.distribute.experimental.CentralStorageStrategy
- tf.distribute.experimental.CollectiveCommunication
- tf.distribute.experimental.CollectiveHints
- tf.distribute.experimental.CommunicationImplementation
- tf.distribute.experimental.CommunicationOptions
- tf.distribute.experimental.MultiWorkerMirroredStrategy
- tf.distribute.experimental.ParameterServerStrategy
- tf.distribute.experimental.PreemptionCheckpointHandler
- tf.distribute.experimental.PreemptionWatcher
- tf.distribute.experimental.TPUStrategy
- tf.distribute.experimental.TerminationConfig
- tf.distribute.experimental.ValueContext
- tf.distribute.experimental.coordinator
- tf.distribute.experimental.coordinator.ClusterCoordinator
- tf.distribute.experimental.coordinator.PerWorkerValues
- tf.distribute.experimental.coordinator.RemoteValue
- tf.distribute.experimental.partitioners
- tf.distribute.experimental.partitioners.FixedShardsPartitioner
- tf.distribute.experimental.partitioners.MaxSizePartitioner
- tf.distribute.experimental.partitioners.MinSizePartitioner
- tf.distribute.experimental.partitioners.Partitioner
- tf.distribute.experimental.rpc
- tf.distribute.experimental.rpc.Client
- tf.distribute.experimental.rpc.Server
- tf.distribute.experimental_set_strategy
- tf.distribute.get_replica_context
- tf.distribute.get_strategy
- tf.distribute.has_strategy
- tf.distribute.in_cross_replica_context
- tf.divide
- tf.dtypes
- tf.dtypes.DType
- tf.dtypes.as_dtype
- tf.dtypes.cast
- tf.dtypes.complex
- tf.dtypes.experimental
- tf.dtypes.saturate_cast
- tf.dynamic_partition
- tf.dynamic_stitch
- tf.edit_distance
- tf.eig
- tf.eigvals
- tf.einsum
- tf.ensure_shape
- tf.equal
- 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.OperatorNotAllowedInGraphError
- tf.errors.OutOfRangeError
- tf.errors.PermissionDeniedError
- tf.errors.ResourceExhaustedError
- tf.errors.UnauthenticatedError
- tf.errors.UnavailableError
- tf.errors.UnimplementedError
- tf.errors.UnknownError
- tf.executing_eagerly
- tf.exp
- tf.expand_dims
- tf.experimental
- tf.experimental.BatchableExtensionType
- tf.experimental.DynamicRaggedShape
- tf.experimental.DynamicRaggedShape.Spec
- tf.experimental.ExtensionType
- tf.experimental.ExtensionTypeBatchEncoder
- tf.experimental.ExtensionTypeSpec
- tf.experimental.Optional
- tf.experimental.RowPartition
- tf.experimental.StructuredTensor
- tf.experimental.StructuredTensor.FieldName
- tf.experimental.StructuredTensor.Spec
- tf.experimental.async_clear_error
- tf.experimental.async_scope
- tf.experimental.dispatch_for_api
- tf.experimental.dispatch_for_binary_elementwise_apis
- tf.experimental.dispatch_for_binary_elementwise_assert_apis
- tf.experimental.dispatch_for_unary_elementwise_apis
- tf.experimental.dlpack
- tf.experimental.dlpack.from_dlpack
- tf.experimental.dlpack.to_dlpack
- tf.experimental.dtensor
- tf.experimental.dtensor.DTensorCheckpoint
- tf.experimental.dtensor.DTensorDataset
- tf.experimental.dtensor.DVariable
- tf.experimental.dtensor.DVariable.SaveSliceInfo
- tf.experimental.dtensor.Layout
- tf.experimental.dtensor.Mesh
- tf.experimental.dtensor.barrier
- tf.experimental.dtensor.call_with_layout
- tf.experimental.dtensor.check_layout
- tf.experimental.dtensor.client_id
- tf.experimental.dtensor.copy_to_mesh
- tf.experimental.dtensor.create_distributed_mesh
- tf.experimental.dtensor.create_mesh
- tf.experimental.dtensor.create_tpu_mesh
- tf.experimental.dtensor.default_mesh
- tf.experimental.dtensor.device_name
- tf.experimental.dtensor.enable_save_as_bf16
- tf.experimental.dtensor.fetch_layout
- tf.experimental.dtensor.full_job_name
- tf.experimental.dtensor.get_default_mesh
- tf.experimental.dtensor.heartbeat_enabled
- tf.experimental.dtensor.initialize_accelerator_system
- tf.experimental.dtensor.initialize_multi_client
- tf.experimental.dtensor.initialize_tpu_system
- tf.experimental.dtensor.is_dtensor
- tf.experimental.dtensor.job_name
- tf.experimental.dtensor.jobs
- tf.experimental.dtensor.local_devices
- tf.experimental.dtensor.name_based_restore
- tf.experimental.dtensor.name_based_save
- tf.experimental.dtensor.num_clients
- tf.experimental.dtensor.num_global_devices
- tf.experimental.dtensor.num_local_devices
- tf.experimental.dtensor.pack
- tf.experimental.dtensor.preferred_device_type
- tf.experimental.dtensor.relayout
- tf.experimental.dtensor.relayout_like
- tf.experimental.dtensor.run_on
- tf.experimental.dtensor.sharded_save
- tf.experimental.dtensor.shutdown_accelerator_system
- tf.experimental.dtensor.shutdown_tpu_system
- tf.experimental.dtensor.unpack
- tf.experimental.enable_strict_mode
- tf.experimental.extension_type
- tf.experimental.extension_type.as_dict
- tf.experimental.function_executor_type
- tf.experimental.numpy
- tf.experimental.numpy.abs
- tf.experimental.numpy.absolute
- tf.experimental.numpy.add
- tf.experimental.numpy.all
- tf.experimental.numpy.allclose
- tf.experimental.numpy.amax
- tf.experimental.numpy.amin
- tf.experimental.numpy.angle
- tf.experimental.numpy.any
- tf.experimental.numpy.append
- tf.experimental.numpy.arange
- tf.experimental.numpy.arccos
- tf.experimental.numpy.arccosh
- tf.experimental.numpy.arcsin
- tf.experimental.numpy.arcsinh
- tf.experimental.numpy.arctan
- tf.experimental.numpy.arctan2
- tf.experimental.numpy.arctanh
- tf.experimental.numpy.argmax
- tf.experimental.numpy.argmin
- tf.experimental.numpy.argsort
- tf.experimental.numpy.around
- tf.experimental.numpy.array
- tf.experimental.numpy.array_equal
- tf.experimental.numpy.asanyarray
- tf.experimental.numpy.asarray
- tf.experimental.numpy.ascontiguousarray
- tf.experimental.numpy.atleast_1d
- tf.experimental.numpy.atleast_2d
- tf.experimental.numpy.atleast_3d
- tf.experimental.numpy.average
- tf.experimental.numpy.bitwise_and
- tf.experimental.numpy.bitwise_not
- tf.experimental.numpy.bitwise_or
- tf.experimental.numpy.bitwise_xor
- tf.experimental.numpy.bool_
- tf.experimental.numpy.broadcast_arrays
- tf.experimental.numpy.broadcast_to
- tf.experimental.numpy.cbrt
- tf.experimental.numpy.ceil
- tf.experimental.numpy.clip
- tf.experimental.numpy.complex128
- tf.experimental.numpy.complex64
- tf.experimental.numpy.complex_
- tf.experimental.numpy.compress
- tf.experimental.numpy.concatenate
- tf.experimental.numpy.conj
- tf.experimental.numpy.conjugate
- tf.experimental.numpy.copy
- tf.experimental.numpy.cos
- tf.experimental.numpy.cosh
- tf.experimental.numpy.count_nonzero
- tf.experimental.numpy.cross
- tf.experimental.numpy.cumprod
- tf.experimental.numpy.cumsum
- tf.experimental.numpy.deg2rad
- tf.experimental.numpy.diag
- tf.experimental.numpy.diag_indices
- tf.experimental.numpy.diagflat
- tf.experimental.numpy.diagonal
- tf.experimental.numpy.diff
- tf.experimental.numpy.divide
- tf.experimental.numpy.divmod
- tf.experimental.numpy.dot
- tf.experimental.numpy.dsplit
- tf.experimental.numpy.dstack
- tf.experimental.numpy.einsum
- tf.experimental.numpy.empty
- tf.experimental.numpy.empty_like
- tf.experimental.numpy.equal
- tf.experimental.numpy.exp
- tf.experimental.numpy.exp2
- tf.experimental.numpy.expand_dims
- tf.experimental.numpy.experimental_enable_numpy_behavior
- tf.experimental.numpy.expm1
- tf.experimental.numpy.eye
- tf.experimental.numpy.fabs
- tf.experimental.numpy.finfo
- tf.experimental.numpy.fix
- tf.experimental.numpy.flatten
- tf.experimental.numpy.flip
- tf.experimental.numpy.fliplr
- tf.experimental.numpy.flipud
- tf.experimental.numpy.float16
- tf.experimental.numpy.float32
- tf.experimental.numpy.float64
- tf.experimental.numpy.float_
- tf.experimental.numpy.float_power
- tf.experimental.numpy.floor
- tf.experimental.numpy.floor_divide
- tf.experimental.numpy.full
- tf.experimental.numpy.full_like
- tf.experimental.numpy.gcd
- tf.experimental.numpy.geomspace
- tf.experimental.numpy.greater
- tf.experimental.numpy.greater_equal
- tf.experimental.numpy.heaviside
- tf.experimental.numpy.hsplit
- tf.experimental.numpy.hstack
- tf.experimental.numpy.hypot
- tf.experimental.numpy.identity
- tf.experimental.numpy.iinfo
- tf.experimental.numpy.imag
- tf.experimental.numpy.inexact
- tf.experimental.numpy.inner
- tf.experimental.numpy.int16
- tf.experimental.numpy.int32
- tf.experimental.numpy.int64
- tf.experimental.numpy.int8
- tf.experimental.numpy.int_
- tf.experimental.numpy.isclose
- tf.experimental.numpy.iscomplex
- tf.experimental.numpy.iscomplexobj
- tf.experimental.numpy.isfinite
- tf.experimental.numpy.isinf
- tf.experimental.numpy.isnan
- tf.experimental.numpy.isneginf
- tf.experimental.numpy.isposinf
- tf.experimental.numpy.isreal
- tf.experimental.numpy.isrealobj
- tf.experimental.numpy.isscalar
- tf.experimental.numpy.issubdtype
- tf.experimental.numpy.ix_
- tf.experimental.numpy.kron
- tf.experimental.numpy.lcm
- tf.experimental.numpy.less
- tf.experimental.numpy.less_equal
- tf.experimental.numpy.linspace
- tf.experimental.numpy.log
- tf.experimental.numpy.log10
- tf.experimental.numpy.log1p
- tf.experimental.numpy.log2
- tf.experimental.numpy.logaddexp
- tf.experimental.numpy.logaddexp2
- tf.experimental.numpy.logical_and
- tf.experimental.numpy.logical_not
- tf.experimental.numpy.logical_or
- tf.experimental.numpy.logical_xor
- tf.experimental.numpy.logspace
- tf.experimental.numpy.matmul
- tf.experimental.numpy.max
- tf.experimental.numpy.maximum
- tf.experimental.numpy.mean
- tf.experimental.numpy.meshgrid
- tf.experimental.numpy.min
- tf.experimental.numpy.minimum
- tf.experimental.numpy.mod
- tf.experimental.numpy.moveaxis
- tf.experimental.numpy.multiply
- tf.experimental.numpy.nanmean
- tf.experimental.numpy.nanprod
- tf.experimental.numpy.nansum
- tf.experimental.numpy.ndarray
- tf.experimental.numpy.ndim
- tf.experimental.numpy.negative
- tf.experimental.numpy.nextafter
- tf.experimental.numpy.nonzero
- tf.experimental.numpy.not_equal
- tf.experimental.numpy.object_
- tf.experimental.numpy.ones
- tf.experimental.numpy.ones_like
- tf.experimental.numpy.outer
- tf.experimental.numpy.pad
- tf.experimental.numpy.polyval
- tf.experimental.numpy.positive
- tf.experimental.numpy.power
- tf.experimental.numpy.prod
- tf.experimental.numpy.promote_types
- tf.experimental.numpy.ptp
- tf.experimental.numpy.rad2deg
- tf.experimental.numpy.random
- tf.experimental.numpy.random.poisson
- tf.experimental.numpy.random.rand
- tf.experimental.numpy.random.randint
- tf.experimental.numpy.random.randn
- tf.experimental.numpy.random.random
- tf.experimental.numpy.random.seed
- tf.experimental.numpy.random.standard_normal
- tf.experimental.numpy.random.uniform
- tf.experimental.numpy.ravel
- tf.experimental.numpy.real
- tf.experimental.numpy.reciprocal
- tf.experimental.numpy.remainder
- tf.experimental.numpy.repeat
- tf.experimental.numpy.reshape
- tf.experimental.numpy.result_type
- tf.experimental.numpy.roll
- tf.experimental.numpy.rot90
- tf.experimental.numpy.round
- tf.experimental.numpy.select
- tf.experimental.numpy.shape
- tf.experimental.numpy.sign
- tf.experimental.numpy.signbit
- tf.experimental.numpy.sin
- tf.experimental.numpy.sinc
- tf.experimental.numpy.sinh
- tf.experimental.numpy.size
- tf.experimental.numpy.sort
- tf.experimental.numpy.split
- tf.experimental.numpy.sqrt
- tf.experimental.numpy.square
- tf.experimental.numpy.squeeze
- tf.experimental.numpy.stack
- tf.experimental.numpy.std
- tf.experimental.numpy.string_
- tf.experimental.numpy.subtract
- tf.experimental.numpy.sum
- tf.experimental.numpy.swapaxes
- tf.experimental.numpy.take
- tf.experimental.numpy.take_along_axis
- tf.experimental.numpy.tan
- tf.experimental.numpy.tanh
- tf.experimental.numpy.tensordot
- tf.experimental.numpy.tile
- tf.experimental.numpy.trace
- tf.experimental.numpy.transpose
- tf.experimental.numpy.tri
- tf.experimental.numpy.tril
- tf.experimental.numpy.triu
- tf.experimental.numpy.true_divide
- tf.experimental.numpy.uint16
- tf.experimental.numpy.uint32
- tf.experimental.numpy.uint64
- tf.experimental.numpy.uint8
- tf.experimental.numpy.unicode_
- tf.experimental.numpy.vander
- tf.experimental.numpy.var
- tf.experimental.numpy.vdot
- tf.experimental.numpy.vsplit
- tf.experimental.numpy.vstack
- tf.experimental.numpy.where
- tf.experimental.numpy.zeros
- tf.experimental.numpy.zeros_like
- tf.experimental.register_filesystem_plugin
- tf.experimental.tensorrt
- tf.experimental.tensorrt.ConversionParams
- tf.experimental.tensorrt.Converter
- tf.experimental.unregister_dispatch_for
- tf.extract_volume_patches
- tf.eye
- 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.fftnd
- tf.fill
- tf.fingerprint
- tf.floor
- tf.foldl
- tf.foldr
- tf.function
- tf.gather
- tf.gather_nd
- tf.get_current_name_scope
- tf.get_logger
- tf.get_static_value
- tf.grad_pass_through
- tf.gradients
- tf.graph_util
- tf.graph_util.import_graph_def
- tf.greater
- tf.greater_equal
- tf.group
- tf.guarantee_const
- tf.hessians
- tf.histogram_fixed_width
- tf.histogram_fixed_width_bins
- tf.identity
- tf.identity_n
- tf.ifftnd
- tf.image
- tf.image.ResizeMethod
- tf.image.adjust_brightness
- tf.image.adjust_contrast
- tf.image.adjust_gamma
- tf.image.adjust_hue
- tf.image.adjust_jpeg_quality
- tf.image.adjust_saturation
- tf.image.central_crop
- tf.image.combined_non_max_suppression
- tf.image.convert_image_dtype
- tf.image.crop_and_resize
- tf.image.crop_to_bounding_box
- tf.image.decode_and_crop_jpeg
- tf.image.decode_bmp
- tf.image.decode_gif
- tf.image.decode_image
- tf.image.decode_jpeg
- tf.image.decode_png
- tf.image.draw_bounding_boxes
- tf.image.encode_jpeg
- tf.image.encode_png
- tf.image.extract_glimpse
- tf.image.extract_jpeg_shape
- 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.is_jpeg
- tf.image.non_max_suppression
- tf.image.non_max_suppression_overlaps
- tf.image.non_max_suppression_padded
- tf.image.non_max_suppression_with_scores
- tf.image.pad_to_bounding_box
- tf.image.per_image_standardization
- tf.image.psnr
- tf.image.random_brightness
- tf.image.random_contrast
- tf.image.random_crop
- tf.image.random_flip_left_right
- tf.image.random_flip_up_down
- tf.image.random_hue
- tf.image.random_jpeg_quality
- tf.image.random_saturation
- tf.image.resize
- tf.image.resize_with_crop_or_pad
- tf.image.resize_with_pad
- tf.image.rgb_to_grayscale
- tf.image.rgb_to_hsv
- tf.image.rgb_to_yiq
- tf.image.rgb_to_yuv
- tf.image.rot90
- tf.image.sample_distorted_bounding_box
- tf.image.sobel_edges
- tf.image.ssim
- tf.image.ssim_multiscale
- tf.image.stateless_random_brightness
- tf.image.stateless_random_contrast
- tf.image.stateless_random_crop
- tf.image.stateless_random_flip_left_right
- tf.image.stateless_random_flip_up_down
- tf.image.stateless_random_hue
- tf.image.stateless_random_jpeg_quality
- tf.image.stateless_random_saturation
- tf.image.stateless_sample_distorted_bounding_box
- tf.image.total_variation
- tf.image.transpose
- tf.image.yiq_to_rgb
- tf.image.yuv_to_rgb
- tf.import_graph_def
- tf.init_scope
- tf.inside_function
- tf.io
- tf.io.FixedLenFeature
- tf.io.FixedLenSequenceFeature
- 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.SparseFeature
- tf.io.TFRecordOptions
- tf.io.TFRecordWriter
- tf.io.VarLenFeature
- tf.io.decode_and_crop_jpeg
- tf.io.decode_base64
- tf.io.decode_bmp
- tf.io.decode_compressed
- tf.io.decode_csv
- tf.io.decode_gif
- tf.io.decode_image
- tf.io.decode_jpeg
- tf.io.decode_json_example
- tf.io.decode_png
- tf.io.decode_proto
- tf.io.decode_raw
- tf.io.deserialize_many_sparse
- tf.io.encode_base64
- tf.io.encode_jpeg
- tf.io.encode_png
- tf.io.encode_proto
- tf.io.extract_jpeg_shape
- tf.io.gfile
- tf.io.gfile.GFile
- tf.io.gfile.copy
- tf.io.gfile.exists
- tf.io.gfile.get_registered_schemes
- tf.io.gfile.glob
- tf.io.gfile.isdir
- tf.io.gfile.join
- 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.read_file
- tf.io.serialize_many_sparse
- tf.io.serialize_sparse
- tf.io.serialize_tensor
- tf.io.write_file
- tf.io.write_graph
- tf.irfftnd
- tf.is_symbolic_tensor
- tf.is_tensor
- tf.keras
- tf.keras.DTypePolicy
- tf.keras.FloatDTypePolicy
- tf.keras.Function
- tf.keras.Initializer
- tf.keras.Input
- tf.keras.InputSpec
- tf.keras.KerasTensor
- tf.keras.Layer
- tf.keras.Loss
- tf.keras.Metric
- tf.keras.Model
- tf.keras.Operation
- tf.keras.Optimizer
- tf.keras.Quantizer
- tf.keras.Regularizer
- tf.keras.Sequential
- tf.keras.StatelessScope
- tf.keras.Variable
- tf.keras.activations
- tf.keras.activations.deserialize
- tf.keras.activations.elu
- tf.keras.activations.exponential
- tf.keras.activations.gelu
- tf.keras.activations.get
- tf.keras.activations.hard_sigmoid
- tf.keras.activations.hard_silu
- tf.keras.activations.hard_swish
- tf.keras.activations.leaky_relu
- tf.keras.activations.linear
- tf.keras.activations.log_softmax
- tf.keras.activations.mish
- tf.keras.activations.relu
- tf.keras.activations.relu6
- tf.keras.activations.selu
- tf.keras.activations.serialize
- tf.keras.activations.sigmoid
- tf.keras.activations.silu
- 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.ConvNeXtBase
- tf.keras.applications.ConvNeXtLarge
- tf.keras.applications.ConvNeXtSmall
- tf.keras.applications.ConvNeXtTiny
- tf.keras.applications.ConvNeXtXLarge
- tf.keras.applications.DenseNet121
- tf.keras.applications.DenseNet169
- tf.keras.applications.DenseNet201
- 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.EfficientNetV2B0
- tf.keras.applications.EfficientNetV2B1
- tf.keras.applications.EfficientNetV2B2
- tf.keras.applications.EfficientNetV2B3
- tf.keras.applications.EfficientNetV2L
- tf.keras.applications.EfficientNetV2M
- tf.keras.applications.EfficientNetV2S
- tf.keras.applications.InceptionResNetV2
- tf.keras.applications.InceptionV3
- tf.keras.applications.MobileNet
- tf.keras.applications.MobileNetV2
- tf.keras.applications.MobileNetV3Large
- tf.keras.applications.MobileNetV3Small
- tf.keras.applications.NASNetLarge
- tf.keras.applications.NASNetMobile
- 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.VGG16
- tf.keras.applications.VGG19
- tf.keras.applications.Xception
- tf.keras.applications.convnext
- tf.keras.applications.convnext.ConvNeXtBase
- tf.keras.applications.convnext.ConvNeXtLarge
- tf.keras.applications.convnext.ConvNeXtSmall
- tf.keras.applications.convnext.ConvNeXtTiny
- tf.keras.applications.convnext.ConvNeXtXLarge
- tf.keras.applications.convnext.decode_predictions
- tf.keras.applications.convnext.preprocess_input
- tf.keras.applications.densenet
- tf.keras.applications.densenet.DenseNet121
- tf.keras.applications.densenet.DenseNet169
- tf.keras.applications.densenet.DenseNet201
- tf.keras.applications.densenet.decode_predictions
- tf.keras.applications.densenet.preprocess_input
- tf.keras.applications.efficientnet
- tf.keras.applications.efficientnet.EfficientNetB0
- tf.keras.applications.efficientnet.EfficientNetB1
- tf.keras.applications.efficientnet.EfficientNetB2
- tf.keras.applications.efficientnet.EfficientNetB3
- tf.keras.applications.efficientnet.EfficientNetB4
- tf.keras.applications.efficientnet.EfficientNetB5
- tf.keras.applications.efficientnet.EfficientNetB6
- tf.keras.applications.efficientnet.EfficientNetB7
- tf.keras.applications.efficientnet.decode_predictions
- tf.keras.applications.efficientnet.preprocess_input
- tf.keras.applications.efficientnet_v2
- tf.keras.applications.efficientnet_v2.EfficientNetV2B0
- tf.keras.applications.efficientnet_v2.EfficientNetV2B1
- tf.keras.applications.efficientnet_v2.EfficientNetV2B2
- tf.keras.applications.efficientnet_v2.EfficientNetV2B3
- tf.keras.applications.efficientnet_v2.EfficientNetV2L
- tf.keras.applications.efficientnet_v2.EfficientNetV2M
- tf.keras.applications.efficientnet_v2.EfficientNetV2S
- tf.keras.applications.efficientnet_v2.decode_predictions
- tf.keras.applications.efficientnet_v2.preprocess_input
- 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.InceptionResNetV2
- 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.InceptionV3
- tf.keras.applications.inception_v3.decode_predictions
- tf.keras.applications.inception_v3.preprocess_input
- tf.keras.applications.mobilenet
- tf.keras.applications.mobilenet.MobileNet
- tf.keras.applications.mobilenet.decode_predictions
- tf.keras.applications.mobilenet.preprocess_input
- tf.keras.applications.mobilenet_v2
- tf.keras.applications.mobilenet_v2.MobileNetV2
- tf.keras.applications.mobilenet_v2.decode_predictions
- tf.keras.applications.mobilenet_v2.preprocess_input
- tf.keras.applications.mobilenet_v3
- tf.keras.applications.mobilenet_v3.decode_predictions
- tf.keras.applications.mobilenet_v3.preprocess_input
- tf.keras.applications.nasnet
- tf.keras.applications.nasnet.NASNetLarge
- tf.keras.applications.nasnet.NASNetMobile
- tf.keras.applications.nasnet.decode_predictions
- tf.keras.applications.nasnet.preprocess_input
- tf.keras.applications.resnet
- tf.keras.applications.resnet.ResNet101
- tf.keras.applications.resnet.ResNet152
- tf.keras.applications.resnet.ResNet50
- tf.keras.applications.resnet.decode_predictions
- tf.keras.applications.resnet.preprocess_input
- tf.keras.applications.resnet50
- tf.keras.applications.resnet50.ResNet50
- tf.keras.applications.resnet50.decode_predictions
- tf.keras.applications.resnet50.preprocess_input
- tf.keras.applications.resnet_v2
- tf.keras.applications.resnet_v2.ResNet101V2
- tf.keras.applications.resnet_v2.ResNet152V2
- tf.keras.applications.resnet_v2.ResNet50V2
- tf.keras.applications.resnet_v2.decode_predictions
- tf.keras.applications.resnet_v2.preprocess_input
- tf.keras.applications.vgg16
- tf.keras.applications.vgg16.VGG16
- tf.keras.applications.vgg16.decode_predictions
- tf.keras.applications.vgg16.preprocess_input
- tf.keras.applications.vgg19
- tf.keras.applications.vgg19.VGG19
- tf.keras.applications.vgg19.decode_predictions
- tf.keras.applications.vgg19.preprocess_input
- tf.keras.applications.xception
- tf.keras.applications.xception.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.binary_focal_crossentropy
- tf.keras.backend.cast
- tf.keras.backend.cast_to_floatx
- tf.keras.backend.categorical_crossentropy
- tf.keras.backend.categorical_focal_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.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_top_k
- tf.keras.backend.int_shape
- tf.keras.backend.is_float_dtype
- tf.keras.backend.is_int_dtype
- tf.keras.backend.is_keras_tensor
- tf.keras.backend.is_sparse
- tf.keras.backend.l2_normalize
- tf.keras.backend.less
- tf.keras.backend.less_equal
- tf.keras.backend.log
- 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.not_equal
- tf.keras.backend.one_hot
- tf.keras.backend.ones
- tf.keras.backend.ones_like
- tf.keras.backend.permute_dimensions
- tf.keras.backend.pool2d
- tf.keras.backend.pool3d
- tf.keras.backend.pow
- tf.keras.backend.prod
- tf.keras.backend.random_bernoulli
- 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.reshape
- tf.keras.backend.resize_images
- tf.keras.backend.resize_volumes
- tf.keras.backend.result_type
- 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_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.standardize_dtype
- 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.BackupAndRestore
- tf.keras.callbacks.CSVLogger
- tf.keras.callbacks.Callback
- tf.keras.callbacks.CallbackList
- tf.keras.callbacks.EarlyStopping
- tf.keras.callbacks.History
- tf.keras.callbacks.LambdaCallback
- tf.keras.callbacks.LearningRateScheduler
- tf.keras.callbacks.ModelCheckpoint
- tf.keras.callbacks.ProgbarLogger
- tf.keras.callbacks.ReduceLROnPlateau
- tf.keras.callbacks.RemoteMonitor
- tf.keras.callbacks.SwapEMAWeights
- tf.keras.callbacks.TensorBoard
- tf.keras.callbacks.TerminateOnNaN
- tf.keras.config
- tf.keras.config.backend
- tf.keras.config.disable_interactive_logging
- tf.keras.config.disable_traceback_filtering
- tf.keras.config.dtype_policy
- tf.keras.config.enable_interactive_logging
- tf.keras.config.enable_traceback_filtering
- tf.keras.config.enable_unsafe_deserialization
- tf.keras.config.epsilon
- tf.keras.config.floatx
- tf.keras.config.image_data_format
- tf.keras.config.is_interactive_logging_enabled
- tf.keras.config.is_traceback_filtering_enabled
- tf.keras.config.set_backend
- tf.keras.config.set_dtype_policy
- tf.keras.config.set_epsilon
- tf.keras.config.set_floatx
- tf.keras.config.set_image_data_format
- tf.keras.constraints
- tf.keras.constraints.Constraint
- tf.keras.constraints.MaxNorm
- tf.keras.constraints.MinMaxNorm
- tf.keras.constraints.NonNeg
- tf.keras.constraints.UnitNorm
- tf.keras.constraints.deserialize
- tf.keras.constraints.get
- tf.keras.constraints.max_norm
- tf.keras.constraints.min_max_norm
- tf.keras.constraints.non_neg
- tf.keras.constraints.serialize
- tf.keras.constraints.unit_norm
- tf.keras.datasets
- tf.keras.datasets.boston_housing
- tf.keras.datasets.boston_housing.load_data
- tf.keras.datasets.california_housing
- tf.keras.datasets.california_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_label_names
- tf.keras.datasets.reuters.get_word_index
- tf.keras.datasets.reuters.load_data
- tf.keras.device
- tf.keras.distribution
- tf.keras.distribution.DataParallel
- tf.keras.distribution.DeviceMesh
- tf.keras.distribution.LayoutMap
- tf.keras.distribution.ModelParallel
- tf.keras.distribution.TensorLayout
- tf.keras.distribution.distribute_tensor
- tf.keras.distribution.distribution
- tf.keras.distribution.initialize
- tf.keras.distribution.list_devices
- tf.keras.distribution.set_distribution
- tf.keras.dtype_policies
- tf.keras.dtype_policies.DTypePolicy
- tf.keras.dtype_policies.FloatDTypePolicy
- tf.keras.dtype_policies.QuantizedDTypePolicy
- tf.keras.dtype_policies.QuantizedFloat8DTypePolicy
- tf.keras.dtype_policies.deserialize
- tf.keras.dtype_policies.get
- tf.keras.dtype_policies.serialize
- tf.keras.export
- tf.keras.export.ExportArchive
- tf.keras.initializers
- tf.keras.initializers.Constant
- tf.keras.initializers.GlorotNormal
- tf.keras.initializers.GlorotUniform
- tf.keras.initializers.HeNormal
- tf.keras.initializers.HeUniform
- tf.keras.initializers.Identity
- tf.keras.initializers.IdentityInitializer
- tf.keras.initializers.Initializer
- tf.keras.initializers.LecunNormal
- tf.keras.initializers.LecunUniform
- tf.keras.initializers.Ones
- tf.keras.initializers.Orthogonal
- tf.keras.initializers.OrthogonalInitializer
- tf.keras.initializers.RandomNormal
- tf.keras.initializers.RandomUniform
- tf.keras.initializers.TruncatedNormal
- tf.keras.initializers.VarianceScaling
- tf.keras.initializers.Zeros
- tf.keras.initializers.constant
- tf.keras.initializers.deserialize
- tf.keras.initializers.get
- tf.keras.initializers.glorot_normal
- tf.keras.initializers.glorot_uniform
- tf.keras.initializers.he_normal
- tf.keras.initializers.he_uniform
- tf.keras.initializers.identity
- tf.keras.initializers.lecun_normal
- tf.keras.initializers.lecun_uniform
- tf.keras.initializers.ones
- tf.keras.initializers.orthogonal
- tf.keras.initializers.random_normal
- tf.keras.initializers.random_uniform
- tf.keras.initializers.serialize
- tf.keras.initializers.truncated_normal
- tf.keras.initializers.variance_scaling
- tf.keras.initializers.zeros
- tf.keras.layers
- 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.AvgPool1D
- tf.keras.layers.AvgPool2D
- tf.keras.layers.AvgPool3D
- tf.keras.layers.BatchNormalization
- tf.keras.layers.Bidirectional
- tf.keras.layers.CategoryEncoding
- tf.keras.layers.CenterCrop
- 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.ConvLSTM1D
- tf.keras.layers.ConvLSTM2D
- tf.keras.layers.ConvLSTM3D
- tf.keras.layers.Convolution1D
- tf.keras.layers.Convolution1DTranspose
- tf.keras.layers.Convolution2D
- tf.keras.layers.Convolution2DTranspose
- tf.keras.layers.Convolution3D
- tf.keras.layers.Convolution3DTranspose
- tf.keras.layers.Cropping1D
- tf.keras.layers.Cropping2D
- tf.keras.layers.Cropping3D
- tf.keras.layers.Dense
- tf.keras.layers.DepthwiseConv1D
- tf.keras.layers.DepthwiseConv2D
- tf.keras.layers.Discretization
- tf.keras.layers.Dot
- tf.keras.layers.Dropout
- tf.keras.layers.ELU
- tf.keras.layers.EinsumDense
- tf.keras.layers.Embedding
- tf.keras.layers.Flatten
- tf.keras.layers.FlaxLayer
- tf.keras.layers.GRU
- tf.keras.layers.GRUCell
- tf.keras.layers.GaussianDropout
- tf.keras.layers.GaussianNoise
- tf.keras.layers.GlobalAveragePooling1D
- tf.keras.layers.GlobalAveragePooling2D
- tf.keras.layers.GlobalAveragePooling3D
- tf.keras.layers.GlobalAvgPool1D
- tf.keras.layers.GlobalAvgPool2D
- tf.keras.layers.GlobalAvgPool3D
- tf.keras.layers.GlobalMaxPool1D
- tf.keras.layers.GlobalMaxPool2D
- tf.keras.layers.GlobalMaxPool3D
- tf.keras.layers.GlobalMaxPooling1D
- tf.keras.layers.GlobalMaxPooling2D
- tf.keras.layers.GlobalMaxPooling3D
- tf.keras.layers.GroupNormalization
- tf.keras.layers.GroupQueryAttention
- tf.keras.layers.HashedCrossing
- tf.keras.layers.Hashing
- tf.keras.layers.Identity
- tf.keras.layers.Input
- tf.keras.layers.InputLayer
- tf.keras.layers.InputSpec
- tf.keras.layers.IntegerLookup
- tf.keras.layers.JaxLayer
- tf.keras.layers.LSTM
- tf.keras.layers.LSTMCell
- tf.keras.layers.Lambda
- tf.keras.layers.Layer
- tf.keras.layers.LayerNormalization
- tf.keras.layers.LeakyReLU
- tf.keras.layers.Masking
- tf.keras.layers.MaxPool1D
- tf.keras.layers.MaxPool2D
- tf.keras.layers.MaxPool3D
- tf.keras.layers.MaxPooling1D
- tf.keras.layers.MaxPooling2D
- tf.keras.layers.MaxPooling3D
- tf.keras.layers.Maximum
- tf.keras.layers.MelSpectrogram
- tf.keras.layers.Minimum
- tf.keras.layers.MultiHeadAttention
- tf.keras.layers.Multiply
- tf.keras.layers.Normalization
- tf.keras.layers.PReLU
- tf.keras.layers.Permute
- tf.keras.layers.RNN
- tf.keras.layers.RandomBrightness
- tf.keras.layers.RandomContrast
- tf.keras.layers.RandomCrop
- tf.keras.layers.RandomFlip
- tf.keras.layers.RandomHeight
- tf.keras.layers.RandomRotation
- tf.keras.layers.RandomTranslation
- tf.keras.layers.RandomWidth
- tf.keras.layers.RandomZoom
- tf.keras.layers.ReLU
- tf.keras.layers.RepeatVector
- tf.keras.layers.Rescaling
- tf.keras.layers.Reshape
- tf.keras.layers.Resizing
- tf.keras.layers.SeparableConv1D
- tf.keras.layers.SeparableConv2D
- tf.keras.layers.SeparableConvolution1D
- tf.keras.layers.SeparableConvolution2D
- 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.SpectralNormalization
- tf.keras.layers.StackedRNNCells
- tf.keras.layers.StringLookup
- tf.keras.layers.Subtract
- tf.keras.layers.TFSMLayer
- tf.keras.layers.TextVectorization
- tf.keras.layers.ThresholdedReLU
- tf.keras.layers.TimeDistributed
- tf.keras.layers.TorchModuleWrapper
- tf.keras.layers.UnitNormalization
- tf.keras.layers.UpSampling1D
- tf.keras.layers.UpSampling2D
- tf.keras.layers.UpSampling3D
- tf.keras.layers.Wrapper
- tf.keras.layers.ZeroPadding1D
- tf.keras.layers.ZeroPadding2D
- tf.keras.layers.ZeroPadding3D
- tf.keras.layers.add
- tf.keras.layers.average
- tf.keras.layers.concatenate
- tf.keras.layers.deserialize
- tf.keras.layers.dot
- tf.keras.layers.maximum
- tf.keras.layers.minimum
- tf.keras.layers.multiply
- tf.keras.layers.serialize
- tf.keras.layers.subtract
- tf.keras.legacy
- tf.keras.legacy.saving
- tf.keras.legacy.saving.deserialize_keras_object
- tf.keras.legacy.saving.serialize_keras_object
- tf.keras.losses
- tf.keras.losses.BinaryCrossentropy
- tf.keras.losses.BinaryFocalCrossentropy
- tf.keras.losses.CTC
- tf.keras.losses.CategoricalCrossentropy
- tf.keras.losses.CategoricalFocalCrossentropy
- tf.keras.losses.CategoricalHinge
- tf.keras.losses.CosineSimilarity
- tf.keras.losses.Dice
- tf.keras.losses.Hinge
- tf.keras.losses.Huber
- tf.keras.losses.KLD
- tf.keras.losses.KLDivergence
- tf.keras.losses.LogCosh
- tf.keras.losses.Loss
- tf.keras.losses.MAE
- tf.keras.losses.MAPE
- tf.keras.losses.MSE
- tf.keras.losses.MSLE
- tf.keras.losses.MeanAbsoluteError
- tf.keras.losses.MeanAbsolutePercentageError
- tf.keras.losses.MeanSquaredError
- tf.keras.losses.MeanSquaredLogarithmicError
- tf.keras.losses.Poisson
- tf.keras.losses.Reduction
- tf.keras.losses.SparseCategoricalCrossentropy
- tf.keras.losses.SquaredHinge
- tf.keras.losses.Tversky
- tf.keras.losses.binary_crossentropy
- tf.keras.losses.binary_focal_crossentropy
- tf.keras.losses.categorical_crossentropy
- tf.keras.losses.categorical_focal_crossentropy
- tf.keras.losses.categorical_hinge
- tf.keras.losses.cosine_similarity
- tf.keras.losses.ctc
- tf.keras.losses.deserialize
- tf.keras.losses.dice
- tf.keras.losses.get
- tf.keras.losses.hinge
- tf.keras.losses.huber
- tf.keras.losses.kld
- tf.keras.losses.kullback_leibler_divergence
- tf.keras.losses.logcosh
- tf.keras.losses.mae
- tf.keras.losses.mape
- tf.keras.losses.mse
- tf.keras.losses.msle
- tf.keras.losses.poisson
- tf.keras.losses.serialize
- tf.keras.losses.sparse_categorical_crossentropy
- tf.keras.losses.squared_hinge
- tf.keras.losses.tversky
- tf.keras.metrics
- tf.keras.metrics.AUC
- tf.keras.metrics.Accuracy
- tf.keras.metrics.BinaryAccuracy
- tf.keras.metrics.BinaryCrossentropy
- tf.keras.metrics.BinaryIoU
- tf.keras.metrics.CategoricalAccuracy
- tf.keras.metrics.CategoricalCrossentropy
- tf.keras.metrics.CategoricalHinge
- tf.keras.metrics.CosineSimilarity
- tf.keras.metrics.F1Score
- tf.keras.metrics.FBetaScore
- tf.keras.metrics.FalseNegatives
- tf.keras.metrics.FalsePositives
- tf.keras.metrics.Hinge
- tf.keras.metrics.IoU
- tf.keras.metrics.KLD
- tf.keras.metrics.KLDivergence
- tf.keras.metrics.LogCoshError
- tf.keras.metrics.MAE
- tf.keras.metrics.MAPE
- tf.keras.metrics.MSE
- tf.keras.metrics.MSLE
- tf.keras.metrics.Mean
- tf.keras.metrics.MeanAbsoluteError
- tf.keras.metrics.MeanAbsolutePercentageError
- tf.keras.metrics.MeanIoU
- tf.keras.metrics.MeanMetricWrapper
- tf.keras.metrics.MeanSquaredError
- tf.keras.metrics.MeanSquaredLogarithmicError
- tf.keras.metrics.Metric
- tf.keras.metrics.OneHotIoU
- tf.keras.metrics.OneHotMeanIoU
- tf.keras.metrics.Poisson
- tf.keras.metrics.Precision
- tf.keras.metrics.PrecisionAtRecall
- tf.keras.metrics.R2Score
- tf.keras.metrics.Recall
- tf.keras.metrics.RecallAtPrecision
- tf.keras.metrics.RootMeanSquaredError
- tf.keras.metrics.SensitivityAtSpecificity
- tf.keras.metrics.SparseCategoricalAccuracy
- tf.keras.metrics.SparseCategoricalCrossentropy
- tf.keras.metrics.SparseTopKCategoricalAccuracy
- tf.keras.metrics.SpecificityAtSensitivity
- tf.keras.metrics.SquaredHinge
- tf.keras.metrics.Sum
- tf.keras.metrics.TopKCategoricalAccuracy
- tf.keras.metrics.TrueNegatives
- tf.keras.metrics.TruePositives
- tf.keras.metrics.binary_accuracy
- tf.keras.metrics.binary_crossentropy
- tf.keras.metrics.binary_focal_crossentropy
- tf.keras.metrics.categorical_accuracy
- tf.keras.metrics.categorical_crossentropy
- tf.keras.metrics.categorical_focal_crossentropy
- tf.keras.metrics.categorical_hinge
- tf.keras.metrics.deserialize
- tf.keras.metrics.get
- tf.keras.metrics.hinge
- tf.keras.metrics.huber
- tf.keras.metrics.kld
- tf.keras.metrics.kullback_leibler_divergence
- tf.keras.metrics.logcosh
- tf.keras.metrics.mae
- tf.keras.metrics.mape
- tf.keras.metrics.mse
- tf.keras.metrics.msle
- tf.keras.metrics.poisson
- tf.keras.metrics.serialize
- tf.keras.metrics.sparse_categorical_accuracy
- tf.keras.metrics.sparse_categorical_crossentropy
- tf.keras.metrics.sparse_top_k_categorical_accuracy
- tf.keras.metrics.squared_hinge
- tf.keras.metrics.top_k_categorical_accuracy
- tf.keras.mixed_precision
- tf.keras.mixed_precision.DTypePolicy
- tf.keras.mixed_precision.LossScaleOptimizer
- tf.keras.mixed_precision.Policy
- tf.keras.mixed_precision.dtype_policy
- tf.keras.mixed_precision.global_policy
- tf.keras.mixed_precision.set_dtype_policy
- tf.keras.mixed_precision.set_global_policy
- tf.keras.models
- tf.keras.models.Model
- tf.keras.models.Sequential
- tf.keras.models.clone_model
- tf.keras.models.load_model
- tf.keras.models.model_from_json
- tf.keras.models.save_model
- tf.keras.name_scope
- tf.keras.ops
- tf.keras.ops.abs
- tf.keras.ops.absolute
- tf.keras.ops.add
- tf.keras.ops.all
- tf.keras.ops.amax
- tf.keras.ops.amin
- tf.keras.ops.any
- tf.keras.ops.append
- tf.keras.ops.arange
- tf.keras.ops.arccos
- tf.keras.ops.arccosh
- tf.keras.ops.arcsin
- tf.keras.ops.arcsinh
- tf.keras.ops.arctan
- tf.keras.ops.arctan2
- tf.keras.ops.arctanh
- tf.keras.ops.argmax
- tf.keras.ops.argmin
- tf.keras.ops.argsort
- tf.keras.ops.array
- tf.keras.ops.average
- tf.keras.ops.average_pool
- tf.keras.ops.batch_normalization
- tf.keras.ops.binary_crossentropy
- tf.keras.ops.bincount
- tf.keras.ops.broadcast_to
- tf.keras.ops.cast
- tf.keras.ops.categorical_crossentropy
- tf.keras.ops.ceil
- tf.keras.ops.cholesky
- tf.keras.ops.clip
- tf.keras.ops.concatenate
- tf.keras.ops.cond
- tf.keras.ops.conj
- tf.keras.ops.conjugate
- tf.keras.ops.conv
- tf.keras.ops.conv_transpose
- tf.keras.ops.convert_to_numpy
- tf.keras.ops.convert_to_tensor
- tf.keras.ops.copy
- tf.keras.ops.correlate
- tf.keras.ops.cos
- tf.keras.ops.cosh
- tf.keras.ops.count_nonzero
- tf.keras.ops.cross
- tf.keras.ops.ctc_decode
- tf.keras.ops.ctc_loss
- tf.keras.ops.cumprod
- tf.keras.ops.cumsum
- tf.keras.ops.custom_gradient
- tf.keras.ops.depthwise_conv
- tf.keras.ops.det
- tf.keras.ops.diag
- tf.keras.ops.diagonal
- tf.keras.ops.diff
- tf.keras.ops.digitize
- tf.keras.ops.divide
- tf.keras.ops.divide_no_nan
- tf.keras.ops.dot
- tf.keras.ops.eig
- tf.keras.ops.eigh
- tf.keras.ops.einsum
- tf.keras.ops.elu
- tf.keras.ops.empty
- tf.keras.ops.equal
- tf.keras.ops.erf
- tf.keras.ops.erfinv
- tf.keras.ops.exp
- tf.keras.ops.expand_dims
- tf.keras.ops.expm1
- tf.keras.ops.extract_sequences
- tf.keras.ops.eye
- tf.keras.ops.fft
- tf.keras.ops.fft2
- tf.keras.ops.flip
- tf.keras.ops.floor
- tf.keras.ops.floor_divide
- tf.keras.ops.fori_loop
- tf.keras.ops.full
- tf.keras.ops.full_like
- tf.keras.ops.gelu
- tf.keras.ops.get_item
- tf.keras.ops.greater
- tf.keras.ops.greater_equal
- tf.keras.ops.hard_sigmoid
- tf.keras.ops.hard_silu
- tf.keras.ops.hard_swish
- tf.keras.ops.hstack
- tf.keras.ops.identity
- tf.keras.ops.imag
- tf.keras.ops.image
- tf.keras.ops.image.affine_transform
- tf.keras.ops.image.crop_images
- tf.keras.ops.image.extract_patches
- tf.keras.ops.image.map_coordinates
- tf.keras.ops.image.pad_images
- tf.keras.ops.image.resize
- tf.keras.ops.image.rgb_to_grayscale
- tf.keras.ops.in_top_k
- tf.keras.ops.inv
- tf.keras.ops.irfft
- tf.keras.ops.is_tensor
- tf.keras.ops.isclose
- tf.keras.ops.isfinite
- tf.keras.ops.isinf
- tf.keras.ops.isnan
- tf.keras.ops.istft
- tf.keras.ops.leaky_relu
- tf.keras.ops.less
- tf.keras.ops.less_equal
- tf.keras.ops.linalg
- tf.keras.ops.linalg.cholesky
- tf.keras.ops.linalg.det
- tf.keras.ops.linalg.eig
- tf.keras.ops.linalg.eigh
- tf.keras.ops.linalg.inv
- tf.keras.ops.linalg.lu_factor
- tf.keras.ops.linalg.norm
- tf.keras.ops.linalg.qr
- tf.keras.ops.linalg.solve
- tf.keras.ops.linalg.solve_triangular
- tf.keras.ops.linalg.svd
- tf.keras.ops.linspace
- tf.keras.ops.log
- tf.keras.ops.log10
- tf.keras.ops.log1p
- tf.keras.ops.log2
- tf.keras.ops.log_sigmoid
- tf.keras.ops.log_softmax
- tf.keras.ops.logaddexp
- tf.keras.ops.logical_and
- tf.keras.ops.logical_not
- tf.keras.ops.logical_or
- tf.keras.ops.logical_xor
- tf.keras.ops.logspace
- tf.keras.ops.logsumexp
- tf.keras.ops.lu_factor
- tf.keras.ops.matmul
- tf.keras.ops.max
- tf.keras.ops.max_pool
- tf.keras.ops.maximum
- tf.keras.ops.mean
- tf.keras.ops.median
- tf.keras.ops.meshgrid
- tf.keras.ops.min
- tf.keras.ops.minimum
- tf.keras.ops.mod
- tf.keras.ops.moments
- tf.keras.ops.moveaxis
- tf.keras.ops.multi_hot
- tf.keras.ops.multiply
- tf.keras.ops.nan_to_num
- tf.keras.ops.ndim
- tf.keras.ops.negative
- tf.keras.ops.nn
- tf.keras.ops.nn.average_pool
- tf.keras.ops.nn.batch_normalization
- tf.keras.ops.nn.binary_crossentropy
- tf.keras.ops.nn.categorical_crossentropy
- tf.keras.ops.nn.conv
- tf.keras.ops.nn.conv_transpose
- tf.keras.ops.nn.ctc_decode
- tf.keras.ops.nn.ctc_loss
- tf.keras.ops.nn.depthwise_conv
- tf.keras.ops.nn.elu
- tf.keras.ops.nn.gelu
- tf.keras.ops.nn.hard_sigmoid
- tf.keras.ops.nn.hard_silu
- tf.keras.ops.nn.hard_swish
- tf.keras.ops.nn.leaky_relu
- tf.keras.ops.nn.log_sigmoid
- tf.keras.ops.nn.log_softmax
- tf.keras.ops.nn.max_pool
- tf.keras.ops.nn.moments
- tf.keras.ops.nn.multi_hot
- tf.keras.ops.nn.normalize
- tf.keras.ops.nn.one_hot
- tf.keras.ops.nn.psnr
- tf.keras.ops.nn.relu
- tf.keras.ops.nn.relu6
- tf.keras.ops.nn.selu
- tf.keras.ops.nn.separable_conv
- tf.keras.ops.nn.sigmoid
- tf.keras.ops.nn.silu
- tf.keras.ops.nn.softmax
- tf.keras.ops.nn.softplus
- tf.keras.ops.nn.softsign
- tf.keras.ops.nn.sparse_categorical_crossentropy
- tf.keras.ops.nn.swish
- tf.keras.ops.nonzero
- tf.keras.ops.norm
- tf.keras.ops.normalize
- tf.keras.ops.not_equal
- tf.keras.ops.numpy
- tf.keras.ops.numpy.abs
- tf.keras.ops.numpy.absolute
- tf.keras.ops.numpy.add
- tf.keras.ops.numpy.all
- tf.keras.ops.numpy.amax
- tf.keras.ops.numpy.amin
- tf.keras.ops.numpy.any
- tf.keras.ops.numpy.append
- tf.keras.ops.numpy.arange
- tf.keras.ops.numpy.arccos
- tf.keras.ops.numpy.arccosh
- tf.keras.ops.numpy.arcsin
- tf.keras.ops.numpy.arcsinh
- tf.keras.ops.numpy.arctan
- tf.keras.ops.numpy.arctan2
- tf.keras.ops.numpy.arctanh
- tf.keras.ops.numpy.argmax
- tf.keras.ops.numpy.argmin
- tf.keras.ops.numpy.argsort
- tf.keras.ops.numpy.array
- tf.keras.ops.numpy.average
- tf.keras.ops.numpy.bincount
- tf.keras.ops.numpy.broadcast_to
- tf.keras.ops.numpy.ceil
- tf.keras.ops.numpy.clip
- tf.keras.ops.numpy.concatenate
- tf.keras.ops.numpy.conj
- tf.keras.ops.numpy.conjugate
- tf.keras.ops.numpy.copy
- tf.keras.ops.numpy.correlate
- tf.keras.ops.numpy.cos
- tf.keras.ops.numpy.cosh
- tf.keras.ops.numpy.count_nonzero
- tf.keras.ops.numpy.cross
- tf.keras.ops.numpy.cumprod
- tf.keras.ops.numpy.cumsum
- tf.keras.ops.numpy.diag
- tf.keras.ops.numpy.diagonal
- tf.keras.ops.numpy.diff
- tf.keras.ops.numpy.digitize
- tf.keras.ops.numpy.divide
- tf.keras.ops.numpy.divide_no_nan
- tf.keras.ops.numpy.dot
- tf.keras.ops.numpy.einsum
- tf.keras.ops.numpy.empty
- tf.keras.ops.numpy.equal
- tf.keras.ops.numpy.exp
- tf.keras.ops.numpy.expand_dims
- tf.keras.ops.numpy.expm1
- tf.keras.ops.numpy.eye
- tf.keras.ops.numpy.flip
- tf.keras.ops.numpy.floor
- tf.keras.ops.numpy.floor_divide
- tf.keras.ops.numpy.full
- tf.keras.ops.numpy.full_like
- tf.keras.ops.numpy.get_item
- tf.keras.ops.numpy.greater
- tf.keras.ops.numpy.greater_equal
- tf.keras.ops.numpy.hstack
- tf.keras.ops.numpy.identity
- tf.keras.ops.numpy.imag
- tf.keras.ops.numpy.isclose
- tf.keras.ops.numpy.isfinite
- tf.keras.ops.numpy.isinf
- tf.keras.ops.numpy.isnan
- tf.keras.ops.numpy.less
- tf.keras.ops.numpy.less_equal
- tf.keras.ops.numpy.linspace
- tf.keras.ops.numpy.log
- tf.keras.ops.numpy.log10
- tf.keras.ops.numpy.log1p
- tf.keras.ops.numpy.log2
- tf.keras.ops.numpy.logaddexp
- tf.keras.ops.numpy.logical_and
- tf.keras.ops.numpy.logical_not
- tf.keras.ops.numpy.logical_or
- tf.keras.ops.numpy.logical_xor
- tf.keras.ops.numpy.logspace
- tf.keras.ops.numpy.matmul
- tf.keras.ops.numpy.max
- tf.keras.ops.numpy.maximum
- tf.keras.ops.numpy.mean
- tf.keras.ops.numpy.median
- tf.keras.ops.numpy.meshgrid
- tf.keras.ops.numpy.min
- tf.keras.ops.numpy.minimum
- tf.keras.ops.numpy.mod
- tf.keras.ops.numpy.moveaxis
- tf.keras.ops.numpy.multiply
- tf.keras.ops.numpy.nan_to_num
- tf.keras.ops.numpy.ndim
- tf.keras.ops.numpy.negative
- tf.keras.ops.numpy.nonzero
- tf.keras.ops.numpy.not_equal
- tf.keras.ops.numpy.ones
- tf.keras.ops.numpy.ones_like
- tf.keras.ops.numpy.outer
- tf.keras.ops.numpy.pad
- tf.keras.ops.numpy.power
- tf.keras.ops.numpy.prod
- tf.keras.ops.numpy.quantile
- tf.keras.ops.numpy.ravel
- tf.keras.ops.numpy.real
- tf.keras.ops.numpy.reciprocal
- tf.keras.ops.numpy.repeat
- tf.keras.ops.numpy.reshape
- tf.keras.ops.numpy.roll
- tf.keras.ops.numpy.round
- tf.keras.ops.numpy.select
- tf.keras.ops.numpy.sign
- tf.keras.ops.numpy.sin
- tf.keras.ops.numpy.sinh
- tf.keras.ops.numpy.size
- tf.keras.ops.numpy.slogdet
- tf.keras.ops.numpy.sort
- tf.keras.ops.numpy.split
- tf.keras.ops.numpy.sqrt
- tf.keras.ops.numpy.square
- tf.keras.ops.numpy.squeeze
- tf.keras.ops.numpy.stack
- tf.keras.ops.numpy.std
- tf.keras.ops.numpy.subtract
- tf.keras.ops.numpy.sum
- tf.keras.ops.numpy.swapaxes
- tf.keras.ops.numpy.take
- tf.keras.ops.numpy.take_along_axis
- tf.keras.ops.numpy.tan
- tf.keras.ops.numpy.tanh
- tf.keras.ops.numpy.tensordot
- tf.keras.ops.numpy.tile
- tf.keras.ops.numpy.trace
- tf.keras.ops.numpy.transpose
- tf.keras.ops.numpy.tri
- tf.keras.ops.numpy.tril
- tf.keras.ops.numpy.triu
- tf.keras.ops.numpy.true_divide
- tf.keras.ops.numpy.var
- tf.keras.ops.numpy.vdot
- tf.keras.ops.numpy.vectorize
- tf.keras.ops.numpy.vstack
- tf.keras.ops.numpy.where
- tf.keras.ops.numpy.zeros
- tf.keras.ops.numpy.zeros_like
- tf.keras.ops.one_hot
- tf.keras.ops.ones
- tf.keras.ops.ones_like
- tf.keras.ops.outer
- tf.keras.ops.pad
- tf.keras.ops.power
- tf.keras.ops.prod
- tf.keras.ops.psnr
- tf.keras.ops.qr
- tf.keras.ops.quantile
- tf.keras.ops.ravel
- tf.keras.ops.real
- tf.keras.ops.reciprocal
- tf.keras.ops.relu
- tf.keras.ops.relu6
- tf.keras.ops.repeat
- tf.keras.ops.reshape
- tf.keras.ops.rfft
- tf.keras.ops.roll
- tf.keras.ops.round
- tf.keras.ops.rsqrt
- tf.keras.ops.scatter
- tf.keras.ops.scatter_update
- tf.keras.ops.segment_max
- tf.keras.ops.segment_sum
- tf.keras.ops.select
- tf.keras.ops.selu
- tf.keras.ops.separable_conv
- tf.keras.ops.shape
- tf.keras.ops.sigmoid
- tf.keras.ops.sign
- tf.keras.ops.silu
- tf.keras.ops.sin
- tf.keras.ops.sinh
- tf.keras.ops.size
- tf.keras.ops.slice
- tf.keras.ops.slice_update
- tf.keras.ops.slogdet
- tf.keras.ops.softmax
- tf.keras.ops.softplus
- tf.keras.ops.softsign
- tf.keras.ops.solve
- tf.keras.ops.solve_triangular
- tf.keras.ops.sort
- tf.keras.ops.sparse_categorical_crossentropy
- tf.keras.ops.split
- tf.keras.ops.sqrt
- tf.keras.ops.square
- tf.keras.ops.squeeze
- tf.keras.ops.stack
- tf.keras.ops.std
- tf.keras.ops.stft
- tf.keras.ops.stop_gradient
- tf.keras.ops.subtract
- tf.keras.ops.sum
- tf.keras.ops.svd
- tf.keras.ops.swapaxes
- tf.keras.ops.swish
- tf.keras.ops.take
- tf.keras.ops.take_along_axis
- tf.keras.ops.tan
- tf.keras.ops.tanh
- tf.keras.ops.tensordot
- tf.keras.ops.tile
- tf.keras.ops.top_k
- tf.keras.ops.trace
- tf.keras.ops.transpose
- tf.keras.ops.tri
- tf.keras.ops.tril
- tf.keras.ops.triu
- tf.keras.ops.true_divide
- tf.keras.ops.unstack
- tf.keras.ops.var
- tf.keras.ops.vdot
- tf.keras.ops.vectorize
- tf.keras.ops.vectorized_map
- tf.keras.ops.vstack
- tf.keras.ops.where
- tf.keras.ops.while_loop
- tf.keras.ops.zeros
- tf.keras.ops.zeros_like
- tf.keras.optimizers
- tf.keras.optimizers.Adadelta
- tf.keras.optimizers.Adafactor
- tf.keras.optimizers.Adagrad
- tf.keras.optimizers.Adam
- tf.keras.optimizers.AdamW
- tf.keras.optimizers.Adamax
- tf.keras.optimizers.Ftrl
- tf.keras.optimizers.Lion
- tf.keras.optimizers.LossScaleOptimizer
- tf.keras.optimizers.Nadam
- tf.keras.optimizers.Optimizer
- tf.keras.optimizers.RMSprop
- tf.keras.optimizers.SGD
- tf.keras.optimizers.deserialize
- tf.keras.optimizers.get
- tf.keras.optimizers.legacy
- tf.keras.optimizers.legacy.Adagrad
- tf.keras.optimizers.legacy.Adam
- tf.keras.optimizers.legacy.Ftrl
- tf.keras.optimizers.legacy.Optimizer
- tf.keras.optimizers.legacy.RMSprop
- tf.keras.optimizers.legacy.SGD
- tf.keras.optimizers.schedules
- tf.keras.optimizers.schedules.CosineDecay
- tf.keras.optimizers.schedules.CosineDecayRestarts
- tf.keras.optimizers.schedules.ExponentialDecay
- tf.keras.optimizers.schedules.InverseTimeDecay
- tf.keras.optimizers.schedules.LearningRateSchedule
- tf.keras.optimizers.schedules.PiecewiseConstantDecay
- tf.keras.optimizers.schedules.PolynomialDecay
- tf.keras.optimizers.schedules.deserialize
- tf.keras.optimizers.schedules.serialize
- tf.keras.optimizers.serialize
- tf.keras.preprocessing
- tf.keras.preprocessing.image
- tf.keras.preprocessing.image.DirectoryIterator
- tf.keras.preprocessing.image.ImageDataGenerator
- tf.keras.preprocessing.image.Iterator
- tf.keras.preprocessing.image.NumpyArrayIterator
- tf.keras.preprocessing.image.apply_affine_transform
- tf.keras.preprocessing.image.apply_brightness_shift
- tf.keras.preprocessing.image.apply_channel_shift
- tf.keras.preprocessing.image.array_to_img
- tf.keras.preprocessing.image.img_to_array
- tf.keras.preprocessing.image.load_img
- tf.keras.preprocessing.image.random_brightness
- tf.keras.preprocessing.image.random_channel_shift
- tf.keras.preprocessing.image.random_rotation
- tf.keras.preprocessing.image.random_shear
- tf.keras.preprocessing.image.random_shift
- tf.keras.preprocessing.image.random_zoom
- tf.keras.preprocessing.image.save_img
- tf.keras.preprocessing.image.smart_resize
- tf.keras.preprocessing.image_dataset_from_directory
- tf.keras.preprocessing.sequence
- tf.keras.preprocessing.sequence.TimeseriesGenerator
- tf.keras.preprocessing.sequence.make_sampling_table
- tf.keras.preprocessing.sequence.pad_sequences
- tf.keras.preprocessing.sequence.skipgrams
- tf.keras.preprocessing.text
- tf.keras.preprocessing.text.Tokenizer
- tf.keras.preprocessing.text.hashing_trick
- tf.keras.preprocessing.text.one_hot
- tf.keras.preprocessing.text.text_to_word_sequence
- tf.keras.preprocessing.text.tokenizer_from_json
- tf.keras.preprocessing.text_dataset_from_directory
- tf.keras.preprocessing.timeseries_dataset_from_array
- tf.keras.quantizers
- tf.keras.quantizers.AbsMaxQuantizer
- tf.keras.quantizers.Quantizer
- tf.keras.quantizers.abs_max_quantize
- tf.keras.quantizers.compute_float8_amax_history
- tf.keras.quantizers.compute_float8_scale
- tf.keras.quantizers.deserialize
- tf.keras.quantizers.get
- tf.keras.quantizers.quantize_and_dequantize
- tf.keras.quantizers.serialize
- tf.keras.random
- tf.keras.random.SeedGenerator
- tf.keras.random.beta
- tf.keras.random.binomial
- tf.keras.random.categorical
- tf.keras.random.dropout
- tf.keras.random.gamma
- tf.keras.random.normal
- tf.keras.random.randint
- tf.keras.random.shuffle
- tf.keras.random.truncated_normal
- tf.keras.random.uniform
- tf.keras.regularizers
- tf.keras.regularizers.L1
- tf.keras.regularizers.L1L2
- tf.keras.regularizers.L2
- tf.keras.regularizers.OrthogonalRegularizer
- tf.keras.regularizers.Regularizer
- tf.keras.regularizers.deserialize
- tf.keras.regularizers.get
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- tf.keras.regularizers.l1_l2
- tf.keras.regularizers.l2
- tf.keras.regularizers.orthogonal_regularizer
- tf.keras.regularizers.serialize
- tf.keras.tree
- tf.keras.tree.assert_same_structure
- tf.keras.tree.flatten
- tf.keras.tree.is_nested
- tf.keras.tree.lists_to_tuples
- tf.keras.tree.map_shape_structure
- tf.keras.tree.map_structure
- tf.keras.tree.map_structure_up_to
- tf.keras.tree.pack_sequence_as
- tf.keras.tree.traverse
- tf.keras.utils
- tf.keras.utils.CustomObjectScope
- tf.keras.utils.FeatureSpace
- tf.keras.utils.Progbar
- tf.keras.utils.PyDataset
- tf.keras.utils.Sequence
- tf.keras.utils.array_to_img
- tf.keras.utils.audio_dataset_from_directory
- tf.keras.utils.clear_session
- tf.keras.utils.custom_object_scope
- tf.keras.utils.deserialize_keras_object
- tf.keras.utils.disable_interactive_logging
- tf.keras.utils.enable_interactive_logging
- 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.image_dataset_from_directory
- tf.keras.utils.img_to_array
- tf.keras.utils.is_interactive_logging_enabled
- tf.keras.utils.is_keras_tensor
- tf.keras.utils.legacy
- tf.keras.utils.legacy.deserialize_keras_object
- tf.keras.utils.legacy.serialize_keras_object
- tf.keras.utils.load_img
- tf.keras.utils.model_to_dot
- tf.keras.utils.normalize
- tf.keras.utils.pack_x_y_sample_weight
- tf.keras.utils.pad_sequences
- tf.keras.utils.plot_model
- tf.keras.utils.register_keras_serializable
- tf.keras.utils.save_img
- tf.keras.utils.serialize_keras_object
- tf.keras.utils.set_random_seed
- tf.keras.utils.split_dataset
- tf.keras.utils.standardize_dtype
- tf.keras.utils.text_dataset_from_directory
- tf.keras.utils.timeseries_dataset_from_array
- tf.keras.utils.to_categorical
- tf.keras.utils.unpack_x_y_sample_weight
- tf.keras.version
- tf.less
- tf.less_equal
- tf.linalg
- 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.LinearOperatorLowRankUpdate
- tf.linalg.LinearOperatorLowerTriangular
- tf.linalg.LinearOperatorPermutation
- tf.linalg.LinearOperatorScaledIdentity
- tf.linalg.LinearOperatorToeplitz
- tf.linalg.LinearOperatorTridiag
- tf.linalg.LinearOperatorZeros
- 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.eigh_tridiagonal
- tf.linalg.eigvals
- tf.linalg.eigvalsh
- tf.linalg.einsum
- tf.linalg.experimental
- tf.linalg.experimental.conjugate_gradient
- tf.linalg.expm
- tf.linalg.eye
- tf.linalg.global_norm
- tf.linalg.inv
- tf.linalg.l2_normalize
- 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.norm
- 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.tensordot
- tf.linalg.trace
- tf.linalg.triangular_solve
- tf.linalg.tridiagonal_matmul
- tf.linalg.tridiagonal_solve
- tf.linspace
- tf.lite
- tf.lite.Interpreter
- tf.lite.OpsSet
- tf.lite.Optimize
- tf.lite.RepresentativeDataset
- tf.lite.TFLiteConverter
- tf.lite.TargetSpec
- tf.lite.experimental
- tf.lite.experimental.Analyzer
- tf.lite.experimental.OpResolverType
- tf.lite.experimental.QuantizationDebugOptions
- tf.lite.experimental.QuantizationDebugger
- tf.lite.experimental.authoring
- tf.lite.experimental.authoring.compatible
- tf.lite.experimental.load_delegate
- tf.load_library
- tf.load_op_library
- tf.logical_and
- tf.logical_not
- tf.logical_or
- tf.lookup
- tf.lookup.KeyValueTensorInitializer
- tf.lookup.StaticHashTable
- tf.lookup.StaticVocabularyTable
- tf.lookup.TextFileIndex
- tf.lookup.TextFileInitializer
- tf.lookup.experimental
- tf.lookup.experimental.DenseHashTable
- tf.lookup.experimental.MutableHashTable
- tf.make_ndarray
- tf.make_tensor_proto
- tf.map_fn
- 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.approx_max_k
- tf.math.approx_min_k
- 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.erfcinv
- 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.log_softmax
- tf.math.logical_and
- tf.math.logical_not
- tf.math.logical_or
- tf.math.logical_xor
- tf.math.maximum
- tf.math.minimum
- tf.math.mod
- 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.softmax
- tf.math.softplus
- tf.math.softsign
- tf.math.special
- tf.math.special.bessel_i0
- tf.math.special.bessel_i0e
- tf.math.special.bessel_i1
- tf.math.special.bessel_i1e
- 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.matmul
- tf.matrix_square_root
- tf.maximum
- tf.meshgrid
- tf.minimum
- tf.mlir
- tf.mlir.experimental
- tf.mlir.experimental.convert_function
- tf.mlir.experimental.convert_graph_def
- tf.mlir.experimental.convert_saved_model
- tf.mlir.experimental.convert_saved_model_v1
- tf.mlir.experimental.run_pass_pipeline
- tf.mlir.experimental.tflite_to_tosa_bytecode
- tf.mlir.experimental.write_bytecode
- tf.multiply
- tf.name_scope
- tf.negative
- tf.nest
- tf.nest.assert_same_structure
- tf.nest.flatten
- tf.nest.is_nested
- tf.nest.map_structure
- tf.nest.pack_sequence_as
- tf.nn
- tf.nn.RNNCellDeviceWrapper
- tf.nn.RNNCellDropoutWrapper
- tf.nn.RNNCellResidualWrapper
- tf.nn.all_candidate_sampler
- tf.nn.approx_max_k
- tf.nn.approx_min_k
- 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.experimental
- tf.nn.experimental.general_dropout
- tf.nn.experimental.stateless_dropout
- tf.nn.fixed_unigram_candidate_sampler
- tf.nn.fractional_avg_pool
- tf.nn.fractional_max_pool
- tf.nn.gelu
- tf.nn.in_top_k
- tf.nn.isotonic_regression
- tf.nn.l2_loss
- tf.nn.l2_normalize
- tf.nn.leaky_relu
- tf.nn.learned_unigram_candidate_sampler
- tf.nn.local_response_normalization
- tf.nn.log_poisson_loss
- tf.nn.log_softmax
- tf.nn.lrn
- 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
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- tf.raw_ops.ShutdownDistributedTPU
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- tf.raw_ops.Sin
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- tf.raw_ops.Size
- tf.raw_ops.SkipDataset
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- tf.raw_ops.SnapshotChunkDataset
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- tf.raw_ops.SnapshotDatasetReader
- tf.raw_ops.SnapshotDatasetV2
- tf.raw_ops.SnapshotNestedDatasetReader
- tf.raw_ops.SobolSample
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- 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
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- 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.SparseSegmentMeanGradV2
- tf.raw_ops.SparseSegmentMeanWithNumSegments
- tf.raw_ops.SparseSegmentSqrtN
- tf.raw_ops.SparseSegmentSqrtNGrad
- tf.raw_ops.SparseSegmentSqrtNGradV2
- tf.raw_ops.SparseSegmentSqrtNWithNumSegments
- tf.raw_ops.SparseSegmentSum
- tf.raw_ops.SparseSegmentSumGrad
- tf.raw_ops.SparseSegmentSumGradV2
- 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
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- tf.raw_ops.Stack
- tf.raw_ops.StackClose
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- tf.raw_ops.StageClear
- tf.raw_ops.StagePeek
- tf.raw_ops.StageSize
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- tf.raw_ops.StatefulStandardNormalV2
- tf.raw_ops.StatefulTruncatedNormal
- tf.raw_ops.StatefulUniform
- tf.raw_ops.StatefulUniformFullInt
- tf.raw_ops.StatefulUniformInt
- tf.raw_ops.StatelessCase
- tf.raw_ops.StatelessIf
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- tf.raw_ops.StatelessParameterizedTruncatedNormal
- tf.raw_ops.StatelessRandomBinomial
- tf.raw_ops.StatelessRandomGammaV2
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- tf.raw_ops.StatelessRandomGetAlg
- tf.raw_ops.StatelessRandomGetKeyCounter
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- tf.raw_ops.StatelessRandomNormal
- tf.raw_ops.StatelessRandomNormalV2
- tf.raw_ops.StatelessRandomPoisson
- tf.raw_ops.StatelessRandomUniform
- tf.raw_ops.StatelessRandomUniformFullInt
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- tf.raw_ops.StatelessRandomUniformInt
- tf.raw_ops.StatelessRandomUniformIntV2
- tf.raw_ops.StatelessRandomUniformV2
- tf.raw_ops.StatelessSampleDistortedBoundingBox
- tf.raw_ops.StatelessShuffle
- tf.raw_ops.StatelessTruncatedNormal
- tf.raw_ops.StatelessTruncatedNormalV2
- 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.StoreMinibatchStatisticsInFdo
- 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
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- tf.raw_ops.SymbolicGradient
- tf.raw_ops.SyncDevice
- tf.raw_ops.TFRecordDataset
- tf.raw_ops.TFRecordDatasetV2
- tf.raw_ops.TFRecordReader
- tf.raw_ops.TFRecordReaderV2
- tf.raw_ops.TPUAnnotateTensorsWithDynamicShape
- tf.raw_ops.TPUCompilationResult
- tf.raw_ops.TPUCopyWithDynamicShape
- tf.raw_ops.TPUEmbeddingActivations
- tf.raw_ops.TPUOrdinalSelector
- tf.raw_ops.TPUPartitionedCall
- tf.raw_ops.TPUPartitionedInput
- tf.raw_ops.TPUPartitionedInputV2
- tf.raw_ops.TPUPartitionedOutput
- tf.raw_ops.TPUPartitionedOutputV2
- tf.raw_ops.TPUReplicateMetadata
- tf.raw_ops.TPUReplicatedInput
- tf.raw_ops.TPUReplicatedOutput
- 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
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- tf.raw_ops.TensorArrayConcat
- tf.raw_ops.TensorArrayConcatV2
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- tf.raw_ops.TensorArrayPack
- tf.raw_ops.TensorArrayRead
- tf.raw_ops.TensorArrayReadV2
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- tf.raw_ops.TensorArrayScatter
- tf.raw_ops.TensorArrayScatterV2
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- tf.raw_ops.TensorArraySizeV2
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- tf.raw_ops.TensorArrayV2
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- 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.TensorMapErase
- tf.raw_ops.TensorMapHasKey
- tf.raw_ops.TensorMapInsert
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- tf.raw_ops.TensorMapStackKeys
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- tf.raw_ops.TextLineReader
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- tf.raw_ops.ToBool
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- tf.saved_model
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- tf.saved_model.experimental.read_fingerprint
- tf.saved_model.load
- tf.saved_model.save
- tf.scalar_mul
- tf.scan
- tf.scatter_nd
- tf.searchsorted
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- tf.shape_n
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- tf.signal.dct
- tf.signal.fft
- tf.signal.fft2d
- tf.signal.fft3d
- tf.signal.fftnd
- tf.signal.fftshift
- tf.signal.frame
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- tf.signal.hann_window
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- tf.signal.ifft2d
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- tf.signal.ifftnd
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- 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.irfftnd
- 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.rfftnd
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- tf.signal.vorbis_window
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- tf.sparse.fill_empty_rows
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- tf.sparse.map_values
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- tf.sparse.transpose
- tf.split
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- tf.square
- tf.squeeze
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- tf.strings.as_string
- tf.strings.bytes_split
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- tf.strings.strip
- tf.strings.substr
- tf.strings.to_hash_bucket
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- tf.strings.to_number
- tf.strings.unicode_decode
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- 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.subtract
- tf.summary
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- tf.summary.record_if
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- tf.summary.should_record_summaries
- tf.summary.text
- tf.summary.trace_export
- tf.summary.trace_off
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- tf.summary.write
- tf.switch_case
- tf.sysconfig
- tf.sysconfig.get_build_info
- tf.sysconfig.get_compile_flags
- tf.sysconfig.get_include
- tf.sysconfig.get_lib
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- tf.tensor_scatter_nd_sub
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- tf.test.with_eager_op_as_function
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- tf.tpu.experimental.embedding.TPUEmbedding
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- tf.tpu.experimental.embedding.TPUEmbeddingV0
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- tf.tpu.experimental.embedding.serving_embedding_lookup
- tf.tpu.experimental.initialize_tpu_system
- tf.tpu.experimental.shutdown_tpu_system
- tf.train
- tf.train.BytesList
- tf.train.Checkpoint
- tf.train.CheckpointManager
- tf.train.CheckpointOptions
- tf.train.CheckpointView
- tf.train.ClusterDef
- tf.train.ClusterSpec
- tf.train.Coordinator
- tf.train.Example
- 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.Int64List
- tf.train.JobDef
- tf.train.JobDef.TasksEntry
- tf.train.SequenceExample
- tf.train.ServerDef
- tf.train.TrackableView
- tf.train.checkpoints_iterator
- tf.train.experimental
- tf.train.experimental.MaxShardSizePolicy
- tf.train.experimental.PythonState
- tf.train.experimental.ShardByTaskPolicy
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- tf.train.get_checkpoint_state
- tf.train.latest_checkpoint
- tf.train.list_variables
- tf.train.load_checkpoint
- tf.train.load_variable
- tf.transpose
- tf.truediv
- tf.truncatediv
- tf.truncatemod
- tf.tuple
- tf.type_spec_from_value
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- tf.types.experimental.TensorLike
- tf.types.experimental.TraceType
- tf.types.experimental.distributed
- tf.types.experimental.distributed.Mirrored
- tf.types.experimental.distributed.PerReplica
- tf.unique
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Compat v1 symbols
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- tf.compat.v1.test.TestCase.failureException
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- tf.compat.v1.train.NewCheckpointReader
- tf.compat.v1.train.Optimizer
- tf.compat.v1.train.ProfilerHook
- tf.compat.v1.train.ProximalAdagradOptimizer
- tf.compat.v1.train.ProximalGradientDescentOptimizer
- tf.compat.v1.train.QueueRunner
- tf.compat.v1.train.RMSPropOptimizer
- tf.compat.v1.train.Saver
- tf.compat.v1.train.SaverDef
- tf.compat.v1.train.Scaffold
- tf.compat.v1.train.SecondOrStepTimer
- tf.compat.v1.train.SequenceExample
- tf.compat.v1.train.Server
- tf.compat.v1.train.ServerDef
- tf.compat.v1.train.SessionCreator
- tf.compat.v1.train.SessionManager
- tf.compat.v1.train.SessionRunArgs
- tf.compat.v1.train.SessionRunContext
- tf.compat.v1.train.SessionRunHook
- tf.compat.v1.train.SessionRunValues
- tf.compat.v1.train.SingularMonitoredSession
- tf.compat.v1.train.SingularMonitoredSession.StepContext
- tf.compat.v1.train.StepCounterHook
- tf.compat.v1.train.StopAtStepHook
- tf.compat.v1.train.SummarySaverHook
- tf.compat.v1.train.Supervisor
- tf.compat.v1.train.SyncReplicasOptimizer
- tf.compat.v1.train.VocabInfo
- tf.compat.v1.train.WorkerSessionCreator
- tf.compat.v1.train.add_queue_runner
- tf.compat.v1.train.assert_global_step
- tf.compat.v1.train.basic_train_loop
- tf.compat.v1.train.batch
- tf.compat.v1.train.batch_join
- tf.compat.v1.train.checkpoint_exists
- tf.compat.v1.train.checkpoints_iterator
- 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.DynamicLossScale
- tf.compat.v1.train.experimental.FixedLossScale
- tf.compat.v1.train.experimental.LossScale
- tf.compat.v1.train.experimental.MaxShardSizePolicy
- tf.compat.v1.train.experimental.MixedPrecisionLossScaleOptimizer
- tf.compat.v1.train.experimental.PythonState
- tf.compat.v1.train.experimental.ShardByTaskPolicy
- tf.compat.v1.train.experimental.ShardableTensor
- tf.compat.v1.train.experimental.ShardingCallback
- tf.compat.v1.train.experimental.disable_mixed_precision_graph_rewrite
- tf.compat.v1.train.experimental.enable_mixed_precision_graph_rewrite
- tf.compat.v1.train.exponential_decay
- tf.compat.v1.train.export_meta_graph
- tf.compat.v1.train.generate_checkpoint_state_proto
- tf.compat.v1.train.get_checkpoint_mtimes
- tf.compat.v1.train.get_checkpoint_state
- tf.compat.v1.train.get_global_step
- tf.compat.v1.train.get_or_create_global_step
- tf.compat.v1.train.global_step
- tf.compat.v1.train.import_meta_graph
- tf.compat.v1.train.init_from_checkpoint
- tf.compat.v1.train.input_producer
- tf.compat.v1.train.inverse_time_decay
- tf.compat.v1.train.latest_checkpoint
- tf.compat.v1.train.limit_epochs
- tf.compat.v1.train.linear_cosine_decay
- tf.compat.v1.train.list_variables
- tf.compat.v1.train.load_checkpoint
- tf.compat.v1.train.load_variable
- tf.compat.v1.train.match_filenames_once
- tf.compat.v1.train.maybe_batch
- tf.compat.v1.train.maybe_batch_join
- tf.compat.v1.train.maybe_shuffle_batch
- tf.compat.v1.train.maybe_shuffle_batch_join
- tf.compat.v1.train.natural_exp_decay
- tf.compat.v1.train.noisy_linear_cosine_decay
- tf.compat.v1.train.piecewise_constant
- tf.compat.v1.train.piecewise_constant_decay
- tf.compat.v1.train.polynomial_decay
- tf.compat.v1.train.queue_runner
- tf.compat.v1.train.queue_runner.QueueRunner
- tf.compat.v1.train.queue_runner.add_queue_runner
- tf.compat.v1.train.queue_runner.start_queue_runners
- tf.compat.v1.train.range_input_producer
- tf.compat.v1.train.remove_checkpoint
- tf.compat.v1.train.replica_device_setter
- tf.compat.v1.train.sdca_fprint
- tf.compat.v1.train.sdca_optimizer
- tf.compat.v1.train.sdca_shrink_l1
- tf.compat.v1.train.shuffle_batch
- tf.compat.v1.train.shuffle_batch_join
- tf.compat.v1.train.slice_input_producer
- tf.compat.v1.train.start_queue_runners
- tf.compat.v1.train.string_input_producer
- tf.compat.v1.train.summary_iterator
- tf.compat.v1.train.update_checkpoint_state
- tf.compat.v1.train.warm_start
- tf.compat.v1.train.write_graph
- tf.compat.v1.trainable_variables
- tf.compat.v1.transpose
- tf.compat.v1.truediv
- tf.compat.v1.truncated_normal
- tf.compat.v1.truncated_normal_initializer
- tf.compat.v1.truncatediv
- tf.compat.v1.truncatemod
- tf.compat.v1.tuple
- tf.compat.v1.type_spec_from_value
- tf.compat.v1.types
- tf.compat.v1.types.experimental
- tf.compat.v1.types.experimental.FunctionType
- tf.compat.v1.types.experimental.FunctionType.empty
- tf.compat.v1.types.experimental.TensorLike
- tf.compat.v1.uniform_unit_scaling_initializer
- tf.compat.v1.unique
- tf.compat.v1.unique_with_counts
- tf.compat.v1.unravel_index
- tf.compat.v1.unsorted_segment_max
- tf.compat.v1.unsorted_segment_mean
- tf.compat.v1.unsorted_segment_min
- tf.compat.v1.unsorted_segment_prod
- tf.compat.v1.unsorted_segment_sqrt_n
- tf.compat.v1.unsorted_segment_sum
- tf.compat.v1.unstack
- tf.compat.v1.user_ops
- tf.compat.v1.user_ops.my_fact
- tf.compat.v1.variable_axis_size_partitioner
- tf.compat.v1.variable_creator_scope
- tf.compat.v1.variable_op_scope
- tf.compat.v1.variable_scope
- tf.compat.v1.variables_initializer
- tf.compat.v1.variance_scaling_initializer
- tf.compat.v1.vectorized_map
- tf.compat.v1.verify_tensor_all_finite
- tf.compat.v1.version
- tf.compat.v1.where
- tf.compat.v1.where_v2
- tf.compat.v1.while_loop
- tf.compat.v1.wrap_function
- tf.compat.v1.write_file
- tf.compat.v1.xla
- tf.compat.v1.xla.experimental
- tf.compat.v1.xla.experimental.compile
- tf.compat.v1.xla.experimental.jit_scope
- tf.compat.v1.zeros
- tf.compat.v1.zeros_initializer
- tf.compat.v1.zeros_like
- tf.compat.v1.zeta