org.tensorflow.op.core

Classes

Abort	Raise a exception to abort the process when called.
Abort.Options	Optional attributes for Abort
All	Computes the "logical and" of elements across dimensions of a tensor.
All.Options	Optional attributes for All
Any	Computes the "logical or" of elements across dimensions of a tensor.
Any.Options	Optional attributes for Any
AssertThat	Asserts that the given condition is true.
AssertThat.Options	Optional attributes for AssertThat
Assign<T extends TType>	Update 'ref' by assigning 'value' to it.
Assign.Options	Optional attributes for Assign
AssignAdd<T extends TType>	Update 'ref' by adding 'value' to it.
AssignAdd.Options	Optional attributes for AssignAdd
AssignAddVariableOp	Adds a value to the current value of a variable.
AssignSub<T extends TType>	Update 'ref' by subtracting 'value' from it.
AssignSub.Options	Optional attributes for AssignSub
AssignSubVariableOp	Subtracts a value from the current value of a variable.
AssignVariableOp	Assigns a new value to a variable.
Barrier	Defines a barrier that persists across different graph executions.
Barrier.Options	Optional attributes for Barrier
BarrierClose	Closes the given barrier.
BarrierClose.Options	Optional attributes for BarrierClose
BarrierIncompleteSize	Computes the number of incomplete elements in the given barrier.
BarrierInsertMany	For each key, assigns the respective value to the specified component.
BarrierReadySize	Computes the number of complete elements in the given barrier.
BarrierTakeMany	Takes the given number of completed elements from a barrier.
BarrierTakeMany.Options	Optional attributes for BarrierTakeMany
Batch	Batches all input tensors nondeterministically.
Batch.Options	Optional attributes for Batch
BatchToSpace<T extends TType>	BatchToSpace for 4-D tensors of type T.
BatchToSpaceNd<T extends TType>	BatchToSpace for N-D tensors of type T.
Bitcast<U extends TType>	Bitcasts a tensor from one type to another without copying data.
BooleanMask
BooleanMask.Options	Optional attributes for BooleanMask
BooleanMaskUpdate
BooleanMaskUpdate.Options	Optional attributes for BooleanMaskUpdate
BroadcastDynamicShape<T extends TNumber>	Return the shape of s0 op s1 with broadcast.
BroadcastGradientArgs<T extends TNumber>	Return the reduction indices for computing gradients of s0 op s1 with broadcast.
BroadcastTo<T extends TType>	Broadcast an array for a compatible shape.
Bucketize	Bucketizes 'input' based on 'boundaries'.
ClipByValue<T extends TType>	Clips tensor values to a specified min and max.
CollectiveGather<T extends TNumber>	Mutually accumulates multiple tensors of identical type and shape.
CollectiveGather.Options	Optional attributes for CollectiveGather
Concat<T extends TType>	Concatenates tensors along one dimension.
Constant<T extends TType>	An operator producing a constant value.
ConsumeMutexLock	This op consumes a lock created by `MutexLock`.
ControlTrigger	Does nothing.
Copy<T extends TType>	Copy a tensor from CPU-to-CPU or GPU-to-GPU.
Copy.Options	Optional attributes for Copy
CopyHost<T extends TType>	Copy a tensor to host.
CopyHost.Options	Optional attributes for CopyHost
CountUpTo<T extends TNumber>	Increments 'ref' until it reaches 'limit'.
DecodeProto	The op extracts fields from a serialized protocol buffers message into tensors.
DecodeProto.Options	Optional attributes for DecodeProto
DeepCopy<T extends TType>	Makes a copy of `x`.
DeleteSessionTensor	Delete the tensor specified by its handle in the session.
DestroyResourceOp	Deletes the resource specified by the handle.
DestroyResourceOp.Options	Optional attributes for DestroyResourceOp
DestroyTemporaryVariable<T extends TType>	Destroys the temporary variable and returns its final value.
DeviceIndex	Return the index of device the op runs.
DummyMemoryCache
DynamicPartition<T extends TType>	Partitions `data` into `num_partitions` tensors using indices from `partitions`.
DynamicStitch<T extends TType>	Interleave the values from the `data` tensors into a single tensor.
EditDistance	Computes the (possibly normalized) Levenshtein Edit Distance.
EditDistance.Options	Optional attributes for EditDistance
Empty<T extends TType>	Creates a tensor with the given shape.
Empty.Options	Optional attributes for Empty
EmptyTensorList	Creates and returns an empty tensor list.
EmptyTensorMap	Creates and returns an empty tensor map.
EncodeProto	The op serializes protobuf messages provided in the input tensors.
EncodeProto.Options	Optional attributes for EncodeProto
EnsureShape<T extends TType>	Ensures that the tensor's shape matches the expected shape.
Enter<T extends TType>	Creates or finds a child frame, and makes `data` available to the child frame.
Enter.Options	Optional attributes for Enter
Exit<T extends TType>	Exits the current frame to its parent frame.
ExpandDims<T extends TType>	Inserts a dimension of 1 into a tensor's shape.
ExtractVolumePatches<T extends TNumber>	Extract `patches` from `input` and put them in the `"depth"` output dimension.
Fill<U extends TType>	Creates a tensor filled with a scalar value.
Fingerprint	Generates fingerprint values.
Gather<T extends TType>	Gather slices from `params` axis `axis` according to `indices`.
Gather.Options	Optional attributes for Gather
GatherNd<T extends TType>	Gather slices from `params` into a Tensor with shape specified by `indices`.
GetSessionHandle	Store the input tensor in the state of the current session.
GetSessionTensor<T extends TType>	Get the value of the tensor specified by its handle.
Gradients	Adds operations to compute the partial derivatives of sum of ys w.r.t xs, i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2... If Options.dx() values are set, they are as the initial symbolic partial derivatives of some loss function L w.r.t.
Gradients.Options	Optional attributes for Gradients
GuaranteeConst<T extends TType>	Gives a guarantee to the TF runtime that the input tensor is a constant.
HashTable	Creates a non-initialized hash table.
HashTable.Options	Optional attributes for HashTable
Helpers	Container class for core methods which add or perform several operations and return one of them.
HistogramFixedWidth<U extends TNumber>	Return histogram of values.
Identity<T extends TType>	Return a tensor with the same shape and contents as the input tensor or value.
IdentityN	Returns a list of tensors with the same shapes and contents as the input tensors.
ImmutableConst<T extends TType>	Returns immutable tensor from memory region.
Init
InitializeTable	Table initializer that takes two tensors for keys and values respectively.
InitializeTableFromTextFile	Initializes a table from a text file.
InitializeTableFromTextFile.Options	Optional attributes for InitializeTableFromTextFile
InplaceAdd<T extends TType>	Adds v into specified rows of x.
InplaceSub<T extends TType>	Subtracts `v` into specified rows of `x`.
InplaceUpdate<T extends TType>	Updates specified rows 'i' with values 'v'.
IsVariableInitialized	Checks whether a tensor has been initialized.
KthOrderStatistic	Computes the Kth order statistic of a data set.
LinSpace<T extends TNumber>	Generates values in an interval.
LookupTableExport<T extends TType, U extends TType>	Outputs all keys and values in the table.
LookupTableFind<U extends TType>	Looks up keys in a table, outputs the corresponding values.
LookupTableImport	Replaces the contents of the table with the specified keys and values.
LookupTableInsert	Updates the table to associates keys with values.
LookupTableRemove	Removes keys and its associated values from a table.
LookupTableSize	Computes the number of elements in the given table.
LoopCond	Forwards the input to the output.
LowerBound<U extends TNumber>	Applies lower_bound(sorted_search_values, values) along each row.
MakeUnique	Make all elements in the non-Batch dimension unique, but \"close\" to their initial value.
MapClear	Op removes all elements in the underlying container.
MapClear.Options	Optional attributes for MapClear
MapIncompleteSize	Op returns the number of incomplete elements in the underlying container.
MapIncompleteSize.Options	Optional attributes for MapIncompleteSize
MapPeek	Op peeks at the values at the specified key.
MapPeek.Options	Optional attributes for MapPeek
MapSize	Op returns the number of elements in the underlying container.
MapSize.Options	Optional attributes for MapSize
MapStage	Stage (key, values) in the underlying container which behaves like a hashtable.
MapStage.Options	Optional attributes for MapStage
MapUnstage	Op removes and returns the values associated with the key from the underlying container.
MapUnstage.Options	Optional attributes for MapUnstage
MapUnstageNoKey	Op removes and returns a random (key, value) from the underlying container.
MapUnstageNoKey.Options	Optional attributes for MapUnstageNoKey
Max<T extends TType>	Computes the maximum of elements across dimensions of a tensor.
Max.Options	Optional attributes for Max
Merge<T extends TType>	Forwards the value of an available tensor from `inputs` to `output`.
Min<T extends TType>	Computes the minimum of elements across dimensions of a tensor.
Min.Options	Optional attributes for Min
MirrorPad<T extends TType>	Pads a tensor with mirrored values.
MirrorPadGrad<T extends TType>	Gradient op for `MirrorPad` op.
MlirPassthroughOp	Wraps an arbitrary MLIR computation expressed as a module with a main() function.
MutableDenseHashTable	Creates an empty hash table that uses tensors as the backing store.
MutableDenseHashTable.Options	Optional attributes for MutableDenseHashTable
MutableHashTable	Creates an empty hash table.
MutableHashTable.Options	Optional attributes for MutableHashTable
MutableHashTableOfTensors	Creates an empty hash table.
MutableHashTableOfTensors.Options	Optional attributes for MutableHashTableOfTensors
Mutex	Creates a Mutex resource that can be locked by `MutexLock`.
Mutex.Options	Optional attributes for Mutex
MutexLock	Locks a mutex resource.
NcclAllReduce<T extends TNumber>	Outputs a tensor containing the reduction across all input tensors.
NcclBroadcast<T extends TNumber>	Sends `input` to all devices that are connected to the output.
NcclReduce<T extends TNumber>	Reduces `input` from `num_devices` using `reduction` to a single device.
NextIteration<T extends TType>	Makes its input available to the next iteration.
NoOp	Does nothing.
OneHot<U extends TType>	Returns a one-hot tensor.
OneHot.Options	Optional attributes for OneHot
Ones<T extends TType>	An operator creating a constant initialized with ones of the shape given by `dims`.
OnesLike<T extends TType>	Returns a tensor of ones with the same shape and type as x.
OrderedMapClear	Op removes all elements in the underlying container.
OrderedMapClear.Options	Optional attributes for OrderedMapClear
OrderedMapIncompleteSize	Op returns the number of incomplete elements in the underlying container.
OrderedMapIncompleteSize.Options	Optional attributes for OrderedMapIncompleteSize
OrderedMapPeek	Op peeks at the values at the specified key.
OrderedMapPeek.Options	Optional attributes for OrderedMapPeek
OrderedMapSize	Op returns the number of elements in the underlying container.
OrderedMapSize.Options	Optional attributes for OrderedMapSize
OrderedMapStage	Stage (key, values) in the underlying container which behaves like a ordered associative container.
OrderedMapStage.Options	Optional attributes for OrderedMapStage
OrderedMapUnstage	Op removes and returns the values associated with the key from the underlying container.
OrderedMapUnstage.Options	Optional attributes for OrderedMapUnstage
OrderedMapUnstageNoKey	Op removes and returns the (key, value) element with the smallest key from the underlying container.
OrderedMapUnstageNoKey.Options	Optional attributes for OrderedMapUnstageNoKey
Pad<T extends TType>	Pads a tensor.
ParallelConcat<T extends TType>	Concatenates a list of `N` tensors along the first dimension.
ParallelDynamicStitch<T extends TType>	Interleave the values from the `data` tensors into a single tensor.
Placeholder<T extends TType>	A placeholder op for a value that will be fed into the computation.
Placeholder.Options	Optional attributes for Placeholder
PlaceholderWithDefault<T extends TType>	A placeholder op that passes through `input` when its output is not fed.
Print	Prints a string scalar.
Print.Options	Optional attributes for Print
Prod<T extends TType>	Computes the product of elements across dimensions of a tensor.
Prod.Options	Optional attributes for Prod
QuantizedReshape<T extends TType>	Reshapes a quantized tensor as per the Reshape op.
Range<T extends TNumber>	Creates a sequence of numbers.
Rank	Returns the rank of a tensor.
ReadVariableOp<T extends TType>	Reads the value of a variable.
Recv<T extends TType>	Receives the named tensor from send_device on recv_device.
Recv.Options	Optional attributes for Recv
ReduceAll	Computes the "logical and" of elements across dimensions of a tensor.
ReduceAll.Options	Optional attributes for ReduceAll
ReduceAny	Computes the "logical or" of elements across dimensions of a tensor.
ReduceAny.Options	Optional attributes for ReduceAny
ReduceMax<T extends TType>	Computes the maximum of elements across dimensions of a tensor.
ReduceMax.Options	Optional attributes for ReduceMax
ReduceMin<T extends TType>	Computes the minimum of elements across dimensions of a tensor.
ReduceMin.Options	Optional attributes for ReduceMin
ReduceProd<T extends TType>	Computes the product of elements across dimensions of a tensor.
ReduceProd.Options	Optional attributes for ReduceProd
ReduceSum<T extends TType>	Computes the sum of elements across dimensions of a tensor.
ReduceSum.Options	Optional attributes for ReduceSum
RefEnter<T extends TType>	Creates or finds a child frame, and makes `data` available to the child frame.
RefEnter.Options	Optional attributes for RefEnter
RefExit<T extends TType>	Exits the current frame to its parent frame.
RefIdentity<T extends TType>	Return the same ref tensor as the input ref tensor.
RefMerge<T extends TType>	Forwards the value of an available tensor from `inputs` to `output`.
RefNextIteration<T extends TType>	Makes its input available to the next iteration.
RefSelect<T extends TType>	Forwards the `index`th element of `inputs` to `output`.
RefSwitch<T extends TType>	Forwards the ref tensor `data` to the output port determined by `pred`.
RemoteFusedGraphExecute	Execute a sub graph on a remote processor.
Reshape<T extends TType>	Reshapes a tensor.
ResourceCountUpTo<T extends TNumber>	Increments variable pointed to by 'resource' until it reaches 'limit'.
ResourceGather<U extends TType>	Gather slices from the variable pointed to by `resource` according to `indices`.
ResourceGather.Options	Optional attributes for ResourceGather
ResourceGatherNd<U extends TType>
ResourceScatterAdd	Adds sparse updates to the variable referenced by `resource`.
ResourceScatterDiv	Divides sparse updates into the variable referenced by `resource`.
ResourceScatterMax	Reduces sparse updates into the variable referenced by `resource` using the `max` operation.
ResourceScatterMin	Reduces sparse updates into the variable referenced by `resource` using the `min` operation.
ResourceScatterMul	Multiplies sparse updates into the variable referenced by `resource`.
ResourceScatterNdAdd	Applies sparse addition to individual values or slices in a Variable.
ResourceScatterNdAdd.Options	Optional attributes for ResourceScatterNdAdd
ResourceScatterNdMax
ResourceScatterNdMax.Options	Optional attributes for ResourceScatterNdMax
ResourceScatterNdMin
ResourceScatterNdMin.Options	Optional attributes for ResourceScatterNdMin
ResourceScatterNdSub	Applies sparse subtraction to individual values or slices in a Variable.
ResourceScatterNdSub.Options	Optional attributes for ResourceScatterNdSub
ResourceScatterNdUpdate	Applies sparse `updates` to individual values or slices within a given variable according to `indices`.
ResourceScatterNdUpdate.Options	Optional attributes for ResourceScatterNdUpdate
ResourceScatterSub	Subtracts sparse updates from the variable referenced by `resource`.
ResourceScatterUpdate	Assigns sparse updates to the variable referenced by `resource`.
ResourceStridedSliceAssign	Assign `value` to the sliced l-value reference of `ref`.
ResourceStridedSliceAssign.Options	Optional attributes for ResourceStridedSliceAssign
Reverse<T extends TType>	Reverses specific dimensions of a tensor.
ReverseSequence<T extends TType>	Reverses variable length slices.
ReverseSequence.Options	Optional attributes for ReverseSequence
Roll<T extends TType>	Rolls the elements of a tensor along an axis.
Rpc	Perform batches of RPC requests.
Rpc.Options	Optional attributes for Rpc
ScatterAdd<T extends TType>	Adds sparse updates to a variable reference.
ScatterAdd.Options	Optional attributes for ScatterAdd
ScatterDiv<T extends TType>	Divides a variable reference by sparse updates.
ScatterDiv.Options	Optional attributes for ScatterDiv
ScatterMax<T extends TNumber>	Reduces sparse updates into a variable reference using the `max` operation.
ScatterMax.Options	Optional attributes for ScatterMax
ScatterMin<T extends TNumber>	Reduces sparse updates into a variable reference using the `min` operation.
ScatterMin.Options	Optional attributes for ScatterMin
ScatterMul<T extends TType>	Multiplies sparse updates into a variable reference.
ScatterMul.Options	Optional attributes for ScatterMul
ScatterNd<U extends TType>	Scatter `updates` into a new tensor according to `indices`.
ScatterNdAdd<T extends TType>	Applies sparse addition to individual values or slices in a Variable.
ScatterNdAdd.Options	Optional attributes for ScatterNdAdd
ScatterNdMax<T extends TType>	Computes element-wise maximum.
ScatterNdMax.Options	Optional attributes for ScatterNdMax
ScatterNdMin<T extends TType>	Computes element-wise minimum.
ScatterNdMin.Options	Optional attributes for ScatterNdMin
ScatterNdNonAliasingAdd<T extends TType>	Applies sparse addition to `input` using individual values or slices from `updates` according to indices `indices`.
ScatterNdSub<T extends TType>	Applies sparse subtraction to individual values or slices in a Variable.
ScatterNdSub.Options	Optional attributes for ScatterNdSub
ScatterNdUpdate<T extends TType>	Applies sparse `updates` to individual values or slices within a given variable according to `indices`.
ScatterNdUpdate.Options	Optional attributes for ScatterNdUpdate
ScatterSub<T extends TType>	Subtracts sparse updates to a variable reference.
ScatterSub.Options	Optional attributes for ScatterSub
ScatterUpdate<T extends TType>	Applies sparse updates to a variable reference.
ScatterUpdate.Options	Optional attributes for ScatterUpdate
Select<T extends TType>
Send	Sends the named tensor from send_device to recv_device.
Send.Options	Optional attributes for Send
SetDiff1d<T extends TType, U extends TNumber>	Computes the difference between two lists of numbers or strings.
SetSize	Number of unique elements along last dimension of input `set`.
SetSize.Options	Optional attributes for SetSize
Shape<U extends TNumber>	Returns the shape of a tensor.
ShapeN<U extends TNumber>	Returns shape of tensors.
Shapes	An operator providing methods on org.tensorflow.op.core.Shape tensors and 1d operands that represent the dimensions of a shape.
Size<U extends TNumber>	Returns the size of a tensor.
Skipgram	Parses a text file and creates a batch of examples.
Skipgram.Options	Optional attributes for Skipgram
Slice<T extends TType>	Return a slice from 'input'.
Snapshot<T extends TType>	Returns a copy of the input tensor.
SpaceToBatchNd<T extends TType>	SpaceToBatch for N-D tensors of type T.
Split<T extends TType>	Splits a tensor into `num_split` tensors along one dimension.
SplitV<T extends TType>	Splits a tensor into `num_split` tensors along one dimension.
Squeeze<T extends TType>	Removes dimensions of size 1 from the shape of a tensor.
Squeeze.Options	Optional attributes for Squeeze
Stack<T extends TType>	Packs a list of `N` rank-`R` tensors into one rank-`(R+1)` tensor.
Stack.Options	Optional attributes for Stack
Stage	Stage values similar to a lightweight Enqueue.
Stage.Options	Optional attributes for Stage
StageClear	Op removes all elements in the underlying container.
StageClear.Options	Optional attributes for StageClear
StagePeek	Op peeks at the values at the specified index.
StagePeek.Options	Optional attributes for StagePeek
StageSize	Op returns the number of elements in the underlying container.
StageSize.Options	Optional attributes for StageSize
StopGradient<T extends TType>	Stops gradient computation.
StridedSlice<T extends TType>	Return a strided slice from `input`.
StridedSlice.Options	Optional attributes for StridedSlice
StridedSliceAssign<T extends TType>	Assign `value` to the sliced l-value reference of `ref`.
StridedSliceAssign.Options	Optional attributes for StridedSliceAssign
StridedSliceGrad<U extends TType>	Returns the gradient of `StridedSlice`.
StridedSliceGrad.Options	Optional attributes for StridedSliceGrad
StridedSliceHelper	Helper endpoint methods for Python like indexing.
Sum<T extends TType>	Computes the sum of elements across dimensions of a tensor.
Sum.Options	Optional attributes for Sum
SwitchCond<T extends TType>	Forwards `data` to the output port determined by `pred`.
TemporaryVariable<T extends TType>	Returns a tensor that may be mutated, but only persists within a single step.
TemporaryVariable.Options	Optional attributes for TemporaryVariable
TensorArray	An array of Tensors of given size.
TensorArray.Options	Optional attributes for TensorArray
TensorArrayClose	Delete the TensorArray from its resource container.
TensorArrayConcat<T extends TType>	Concat the elements from the TensorArray into value `value`.
TensorArrayConcat.Options	Optional attributes for TensorArrayConcat
TensorArrayGather<T extends TType>	Gather specific elements from the TensorArray into output `value`.
TensorArrayGather.Options	Optional attributes for TensorArrayGather
TensorArrayGrad	Creates a TensorArray for storing the gradients of values in the given handle.
TensorArrayGradWithShape	Creates a TensorArray for storing multiple gradients of values in the given handle.
TensorArrayPack<T extends TType>
TensorArrayPack.Options	Optional attributes for TensorArrayPack
TensorArrayRead<T extends TType>	Read an element from the TensorArray into output `value`.
TensorArrayScatter	Scatter the data from the input value into specific TensorArray elements.
TensorArraySize	Get the current size of the TensorArray.
TensorArraySplit	Split the data from the input value into TensorArray elements.
TensorArrayUnpack
TensorArrayWrite	Push an element onto the tensor_array.
TensorForestCreateTreeVariable	Creates a tree resource and returns a handle to it.
TensorForestTreeDeserialize	Deserializes a proto into the tree handle
TensorForestTreeIsInitializedOp	Checks whether a tree has been initialized.
TensorForestTreePredict	Output the logits for the given input data
TensorForestTreeResourceHandleOp	Creates a handle to a TensorForestTreeResource
TensorForestTreeResourceHandleOp.Options	Optional attributes for TensorForestTreeResourceHandleOp
TensorForestTreeSerialize	Serializes the tree handle to a proto
TensorForestTreeSize	Get the number of nodes in a tree
TensorListConcat<U extends TType>	Concats all tensors in the list along the 0th dimension.
TensorListConcatLists
TensorListElementShape<T extends TNumber>	The shape of the elements of the given list, as a tensor.
TensorListFromTensor	Creates a TensorList which, when stacked, has the value of `tensor`.
TensorListGather<T extends TType>	Creates a Tensor by indexing into the TensorList.
TensorListGetItem<T extends TType>
TensorListLength	Returns the number of tensors in the input tensor list.
TensorListPopBack<T extends TType>	Returns the last element of the input list as well as a list with all but that element.
TensorListPushBack	Returns a list which has the passed-in `Tensor` as last element and the other elements of the given list in `input_handle`.
TensorListPushBackBatch
TensorListReserve	List of the given size with empty elements.
TensorListResize	Resizes the list.
TensorListScatter	Creates a TensorList by indexing into a Tensor.
TensorListScatterIntoExistingList	Scatters tensor at indices in an input list.
TensorListSetItem
TensorListSplit	Splits a tensor into a list.
TensorListStack<T extends TType>	Stacks all tensors in the list.
TensorListStack.Options	Optional attributes for TensorListStack
TensorMapErase	Returns a tensor map with item from given key erased.
TensorMapHasKey	Returns whether the given key exists in the map.
TensorMapInsert	Returns a map that is the 'input_handle' with the given key-value pair inserted.
TensorMapLookup<U extends TType>	Returns the value from a given key in a tensor map.
TensorMapSize	Returns the number of tensors in the input tensor map.
TensorMapStackKeys<T extends TType>	Returns a Tensor stack of all keys in a tensor map.
TensorScatterNdAdd<T extends TType>	Adds sparse `updates` to an existing tensor according to `indices`.
TensorScatterNdMax<T extends TType>
TensorScatterNdMin<T extends TType>
TensorScatterNdSub<T extends TType>	Subtracts sparse `updates` from an existing tensor according to `indices`.
TensorScatterNdUpdate<T extends TType>	Scatter `updates` into an existing tensor according to `indices`.
TensorStridedSliceUpdate<T extends TType>	Assign `value` to the sliced l-value reference of `input`.
TensorStridedSliceUpdate.Options	Optional attributes for TensorStridedSliceUpdate
Tile<T extends TType>	Constructs a tensor by tiling a given tensor.
Timestamp	Provides the time since epoch in seconds.
TopKUnique	Returns the TopK unique values in the array in sorted order.
TopKWithUnique	Returns the TopK values in the array in sorted order.
TryRpc	Perform batches of RPC requests.
TryRpc.Options	Optional attributes for TryRpc
Unbatch<T extends TType>	Reverses the operation of Batch for a single output Tensor.
Unbatch.Options	Optional attributes for Unbatch
UnbatchGrad<T extends TType>	Gradient of Unbatch.
UnbatchGrad.Options	Optional attributes for UnbatchGrad
Unique<T extends TType, V extends TNumber>	Finds unique elements along an axis of a tensor.
UniqueWithCounts<T extends TType, V extends TNumber>	Finds unique elements along an axis of a tensor.
UnravelIndex<T extends TNumber>	Converts an array of flat indices into a tuple of coordinate arrays.
Unstack<T extends TType>	Unpacks a given dimension of a rank-`R` tensor into `num` rank-`(R-1)` tensors.
Unstack.Options	Optional attributes for Unstack
Unstage	Op is similar to a lightweight Dequeue.
Unstage.Options	Optional attributes for Unstage
UpperBound<U extends TNumber>	Applies upper_bound(sorted_search_values, values) along each row.
VarHandleOp	Creates a handle to a Variable resource.
VarHandleOp.Options	Optional attributes for VarHandleOp
Variable<T extends TType>	Holds state in the form of a tensor that persists across steps.
Variable.Options	Optional attributes for Variable
VariableShape<T extends TNumber>	Returns the shape of the variable pointed to by `resource`.
VarIsInitializedOp	Checks whether a resource handle-based variable has been initialized.
Where	Returns locations of nonzero / true values in a tensor.
XlaSpmdFullToShardShape<T extends TType>	An op used by XLA SPMD partitioner to switch from automatic partitioning to manual partitioning.
XlaSpmdShardToFullShape<T extends TType>	An op used by XLA SPMD partitioner to switch from manual partitioning to automatic partitioning.
Zeros<T extends TType>	An operator creating a constant initialized with zeros of the shape given by `dims`.
ZerosLike<T extends TType>	Returns a tensor of zeros with the same shape and type as x.