# Module: tf.compat.v1.raw_ops

Public API for tf.raw_ops namespace.

## Functions

[`Abort(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Abort): Raise a exception to abort the process when called.

[`Abs(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Abs): Computes the absolute value of a tensor.

[`AccumulateNV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AccumulateNV2): Returns the element-wise sum of a list of tensors.

[`AccumulatorApplyGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AccumulatorApplyGradient): Applies a gradient to a given accumulator.

[`AccumulatorNumAccumulated(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AccumulatorNumAccumulated): Returns the number of gradients aggregated in the given accumulators.

[`AccumulatorSetGlobalStep(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AccumulatorSetGlobalStep): Updates the accumulator with a new value for global_step.

[`AccumulatorTakeGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AccumulatorTakeGradient): Extracts the average gradient in the given ConditionalAccumulator.

[`Acos(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Acos): Computes acos of x element-wise.

[`Acosh(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Acosh): Computes inverse hyperbolic cosine of x element-wise.

[`Add(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Add): Returns x + y element-wise.

[`AddManySparseToTensorsMap(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AddManySparseToTensorsMap): Add an `N`-minibatch `SparseTensor` to a `SparseTensorsMap`, return `N` handles.

[`AddN(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AddN): Add all input tensors element wise.

[`AddSparseToTensorsMap(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AddSparseToTensorsMap): Add a `SparseTensor` to a `SparseTensorsMap` return its handle.

[`AddV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AddV2): Returns x + y element-wise.

[`AdjustContrast(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AdjustContrast): Deprecated. Disallowed in GraphDef version \>= 2.

[`AdjustContrastv2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AdjustContrastv2): Adjust the contrast of one or more images.

[`AdjustHue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AdjustHue): Adjust the hue of one or more images.

[`AdjustSaturation(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AdjustSaturation): Adjust the saturation of one or more images.

[`All(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/All): Computes the "logical and" of elements across dimensions of a tensor.

[`AllCandidateSampler(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AllCandidateSampler): Generates labels for candidate sampling with a learned unigram distribution.

[`AllToAll(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AllToAll): An Op to exchange data across TPU replicas.

[`Angle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Angle): Returns the argument of a complex number.

[`AnonymousHashTable(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AnonymousHashTable): Creates a uninitialized anonymous hash table.

[`AnonymousIterator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AnonymousIterator): A container for an iterator resource.

[`AnonymousIteratorV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AnonymousIteratorV2): A container for an iterator resource.

[`AnonymousIteratorV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AnonymousIteratorV3): A container for an iterator resource.

[`AnonymousMemoryCache(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AnonymousMemoryCache)

[`AnonymousMultiDeviceIterator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AnonymousMultiDeviceIterator): A container for a multi device iterator resource.

[`AnonymousMultiDeviceIteratorV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AnonymousMultiDeviceIteratorV3): A container for a multi device iterator resource.

[`AnonymousMutableDenseHashTable(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AnonymousMutableDenseHashTable): Creates an empty anonymous mutable hash table that uses tensors as the backing store.

[`AnonymousMutableHashTable(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AnonymousMutableHashTable): Creates an empty anonymous mutable hash table.

[`AnonymousMutableHashTableOfTensors(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AnonymousMutableHashTableOfTensors): Creates an empty anonymous mutable hash table of vector values.

[`AnonymousRandomSeedGenerator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AnonymousRandomSeedGenerator)

[`AnonymousSeedGenerator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AnonymousSeedGenerator)

[`Any(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Any): Computes the "logical or" of elements across dimensions of a tensor.

[`ApplyAdaMax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyAdaMax): Update '\*var' according to the AdaMax algorithm.

[`ApplyAdadelta(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyAdadelta): Update '\*var' according to the adadelta scheme.

[`ApplyAdagrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyAdagrad): Update '\*var' according to the adagrad scheme.

[`ApplyAdagradDA(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyAdagradDA): Update '\*var' according to the proximal adagrad scheme.

[`ApplyAdagradV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyAdagradV2): Update '\*var' according to the adagrad scheme.

[`ApplyAdam(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyAdam): Update '\*var' according to the Adam algorithm.

[`ApplyAddSign(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyAddSign): Update '\*var' according to the AddSign update.

[`ApplyCenteredRMSProp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyCenteredRMSProp): Update '\*var' according to the centered RMSProp algorithm.

[`ApplyFtrl(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyFtrl): Update '\*var' according to the Ftrl-proximal scheme.

[`ApplyFtrlV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyFtrlV2): Update '\*var' according to the Ftrl-proximal scheme.

[`ApplyGradientDescent(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyGradientDescent): Update '\*var' by subtracting 'alpha' \* 'delta' from it.

[`ApplyMomentum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyMomentum): Update '\*var' according to the momentum scheme.

[`ApplyPowerSign(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyPowerSign): Update '\*var' according to the AddSign update.

[`ApplyProximalAdagrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyProximalAdagrad): Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.

[`ApplyProximalGradientDescent(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyProximalGradientDescent): Update '\*var' as FOBOS algorithm with fixed learning rate.

[`ApplyRMSProp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApplyRMSProp): Update '\*var' according to the RMSProp algorithm.

[`ApproxTopK(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApproxTopK): Returns min/max k values and their indices of the input operand in an approximate manner.

[`ApproximateEqual(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ApproximateEqual): Returns the truth value of abs(x-y) \< tolerance element-wise.

[`ArgMax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ArgMax): Returns the index with the largest value across dimensions of a tensor.

[`ArgMin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ArgMin): Returns the index with the smallest value across dimensions of a tensor.

[`AsString(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AsString): Converts each entry in the given tensor to strings.

[`Asin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Asin): Computes the trignometric inverse sine of x element-wise.

[`Asinh(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Asinh): Computes inverse hyperbolic sine of x element-wise.

[`Assert(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Assert): Asserts that the given condition is true.

[`AssertCardinalityDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AssertCardinalityDataset)

[`AssertNextDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AssertNextDataset): A transformation that asserts which transformations happen next.

[`AssertPrevDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AssertPrevDataset): A transformation that asserts which transformations happened previously.

[`Assign(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Assign): Update 'ref' by assigning 'value' to it.

[`AssignAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AssignAdd): Update 'ref' by adding 'value' to it.

[`AssignAddVariableOp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AssignAddVariableOp): Adds a value to the current value of a variable.

[`AssignSub(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AssignSub): Update 'ref' by subtracting 'value' from it.

[`AssignSubVariableOp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AssignSubVariableOp): Subtracts a value from the current value of a variable.

[`AssignVariableOp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AssignVariableOp): Assigns a new value to a variable.

[`AssignVariableXlaConcatND(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AssignVariableXlaConcatND): Concats input tensor across all dimensions.

[`Atan(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Atan): Computes the trignometric inverse tangent of x element-wise.

[`Atan2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Atan2): Computes arctangent of `y/x` element-wise, respecting signs of the arguments.

[`Atanh(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Atanh): Computes inverse hyperbolic tangent of x element-wise.

[`AudioSpectrogram(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AudioSpectrogram): Produces a visualization of audio data over time.

[`AudioSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AudioSummary): Outputs a `Summary` protocol buffer with audio.

[`AudioSummaryV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AudioSummaryV2): Outputs a `Summary` protocol buffer with audio.

[`AutoShardDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AutoShardDataset): Creates a dataset that shards the input dataset.

[`AvgPool(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AvgPool): Performs average pooling on the input.

[`AvgPool3D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AvgPool3D): Performs 3D average pooling on the input.

[`AvgPool3DGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AvgPool3DGrad): Computes gradients of average pooling function.

[`AvgPoolGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/AvgPoolGrad): Computes gradients of the average pooling function.

[`BandedTriangularSolve(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BandedTriangularSolve)

[`Barrier(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Barrier): Defines a barrier that persists across different graph executions.

[`BarrierClose(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BarrierClose): Closes the given barrier.

[`BarrierIncompleteSize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BarrierIncompleteSize): Computes the number of incomplete elements in the given barrier.

[`BarrierInsertMany(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BarrierInsertMany): For each key, assigns the respective value to the specified component.

[`BarrierReadySize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BarrierReadySize): Computes the number of complete elements in the given barrier.

[`BarrierTakeMany(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BarrierTakeMany): Takes the given number of completed elements from a barrier.

[`Batch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Batch): Batches all input tensors nondeterministically.

[`BatchCholesky(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchCholesky)

[`BatchCholeskyGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchCholeskyGrad)

[`BatchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchDataset): Creates a dataset that batches `batch_size` elements from `input_dataset`.

[`BatchDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchDatasetV2): Creates a dataset that batches `batch_size` elements from `input_dataset`.

[`BatchFFT(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchFFT)

[`BatchFFT2D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchFFT2D)

[`BatchFFT3D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchFFT3D)

[`BatchFunction(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchFunction): Batches all the inputs tensors to the computation done by the function.

[`BatchIFFT(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchIFFT)

[`BatchIFFT2D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchIFFT2D)

[`BatchIFFT3D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchIFFT3D)

[`BatchMatMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchMatMul): Multiplies slices of two tensors in batches.

[`BatchMatMulV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchMatMulV2): Multiplies slices of two tensors in batches.

[`BatchMatMulV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchMatMulV3): Multiplies slices of two tensors in batches.

[`BatchMatrixBandPart(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchMatrixBandPart)

[`BatchMatrixDeterminant(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchMatrixDeterminant)

[`BatchMatrixDiag(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchMatrixDiag)

[`BatchMatrixDiagPart(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchMatrixDiagPart)

[`BatchMatrixInverse(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchMatrixInverse)

[`BatchMatrixSetDiag(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchMatrixSetDiag)

[`BatchMatrixSolve(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchMatrixSolve)

[`BatchMatrixSolveLs(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchMatrixSolveLs)

[`BatchMatrixTriangularSolve(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchMatrixTriangularSolve)

[`BatchNormWithGlobalNormalization(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchNormWithGlobalNormalization): Batch normalization.

[`BatchNormWithGlobalNormalizationGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchNormWithGlobalNormalizationGrad): Gradients for batch normalization.

[`BatchSelfAdjointEig(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchSelfAdjointEig)

[`BatchSelfAdjointEigV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchSelfAdjointEigV2)

[`BatchSvd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchSvd)

[`BatchToSpace(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchToSpace): BatchToSpace for 4-D tensors of type T.

[`BatchToSpaceND(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BatchToSpaceND): BatchToSpace for N-D tensors of type T.

[`BesselI0(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BesselI0)

[`BesselI0e(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BesselI0e)

[`BesselI1(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BesselI1)

[`BesselI1e(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BesselI1e)

[`BesselJ0(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BesselJ0)

[`BesselJ1(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BesselJ1)

[`BesselK0(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BesselK0)

[`BesselK0e(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BesselK0e)

[`BesselK1(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BesselK1)

[`BesselK1e(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BesselK1e)

[`BesselY0(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BesselY0)

[`BesselY1(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BesselY1)

[`Betainc(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Betainc): Compute the regularized incomplete beta integral \\(I_x(a, b)\\).

[`BiasAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BiasAdd): Adds `bias` to `value`.

[`BiasAddGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BiasAddGrad): The backward operation for "BiasAdd" on the "bias" tensor.

[`BiasAddV1(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BiasAddV1): Adds `bias` to `value`.

[`Bincount(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Bincount): Counts the number of occurrences of each value in an integer array.

[`Bitcast(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Bitcast): Bitcasts a tensor from one type to another without copying data.

[`BitwiseAnd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BitwiseAnd): Elementwise computes the bitwise AND of `x` and `y`.

[`BitwiseOr(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BitwiseOr): Elementwise computes the bitwise OR of `x` and `y`.

[`BitwiseXor(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BitwiseXor): Elementwise computes the bitwise XOR of `x` and `y`.

[`BlockLSTM(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BlockLSTM): Computes the LSTM cell forward propagation for all the time steps.

[`BlockLSTMGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BlockLSTMGrad): Computes the LSTM cell backward propagation for the entire time sequence.

[`BlockLSTMGradV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BlockLSTMGradV2): Computes the LSTM cell backward propagation for the entire time sequence.

[`BlockLSTMV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BlockLSTMV2): Computes the LSTM cell forward propagation for all the time steps.

[`BoostedTreesAggregateStats(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesAggregateStats): Aggregates the summary of accumulated stats for the batch.

[`BoostedTreesBucketize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesBucketize): Bucketize each feature based on bucket boundaries.

[`BoostedTreesCalculateBestFeatureSplit(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesCalculateBestFeatureSplit): Calculates gains for each feature and returns the best possible split information for the feature.

[`BoostedTreesCalculateBestFeatureSplitV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesCalculateBestFeatureSplitV2): Calculates gains for each feature and returns the best possible split information for each node. However, if no split is found, then no split information is returned for that node.

[`BoostedTreesCalculateBestGainsPerFeature(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesCalculateBestGainsPerFeature): Calculates gains for each feature and returns the best possible split information for the feature.

[`BoostedTreesCenterBias(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesCenterBias): Calculates the prior from the training data (the bias) and fills in the first node with the logits' prior. Returns a boolean indicating whether to continue centering.

[`BoostedTreesCreateEnsemble(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesCreateEnsemble): Creates a tree ensemble model and returns a handle to it.

[`BoostedTreesCreateQuantileStreamResource(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesCreateQuantileStreamResource): Create the Resource for Quantile Streams.

[`BoostedTreesDeserializeEnsemble(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesDeserializeEnsemble): Deserializes a serialized tree ensemble config and replaces current tree

[`BoostedTreesEnsembleResourceHandleOp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesEnsembleResourceHandleOp): Creates a handle to a BoostedTreesEnsembleResource

[`BoostedTreesExampleDebugOutputs(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesExampleDebugOutputs): Debugging/model interpretability outputs for each example.

[`BoostedTreesFlushQuantileSummaries(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesFlushQuantileSummaries): Flush the quantile summaries from each quantile stream resource.

[`BoostedTreesGetEnsembleStates(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesGetEnsembleStates): Retrieves the tree ensemble resource stamp token, number of trees and growing statistics.

[`BoostedTreesMakeQuantileSummaries(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesMakeQuantileSummaries): Makes the summary of quantiles for the batch.

[`BoostedTreesMakeStatsSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesMakeStatsSummary): Makes the summary of accumulated stats for the batch.

[`BoostedTreesPredict(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesPredict): Runs multiple additive regression ensemble predictors on input instances and

[`BoostedTreesQuantileStreamResourceAddSummaries(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesQuantileStreamResourceAddSummaries): Add the quantile summaries to each quantile stream resource.

[`BoostedTreesQuantileStreamResourceDeserialize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesQuantileStreamResourceDeserialize): Deserialize bucket boundaries and ready flag into current QuantileAccumulator.

[`BoostedTreesQuantileStreamResourceFlush(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesQuantileStreamResourceFlush): Flush the summaries for a quantile stream resource.

[`BoostedTreesQuantileStreamResourceGetBucketBoundaries(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesQuantileStreamResourceGetBucketBoundaries): Generate the bucket boundaries for each feature based on accumulated summaries.

[`BoostedTreesQuantileStreamResourceHandleOp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesQuantileStreamResourceHandleOp): Creates a handle to a BoostedTreesQuantileStreamResource.

[`BoostedTreesSerializeEnsemble(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesSerializeEnsemble): Serializes the tree ensemble to a proto.

[`BoostedTreesSparseAggregateStats(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesSparseAggregateStats): Aggregates the summary of accumulated stats for the batch.

[`BoostedTreesSparseCalculateBestFeatureSplit(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesSparseCalculateBestFeatureSplit): Calculates gains for each feature and returns the best possible split information for the feature.

[`BoostedTreesTrainingPredict(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesTrainingPredict): Runs multiple additive regression ensemble predictors on input instances and

[`BoostedTreesUpdateEnsemble(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesUpdateEnsemble): Updates the tree ensemble by either adding a layer to the last tree being grown

[`BoostedTreesUpdateEnsembleV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BoostedTreesUpdateEnsembleV2): Updates the tree ensemble by adding a layer to the last tree being grown

[`BroadcastArgs(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BroadcastArgs): Return the shape of s0 op s1 with broadcast.

[`BroadcastGradientArgs(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BroadcastGradientArgs): Return the reduction indices for computing gradients of s0 op s1 with broadcast.

[`BroadcastTo(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BroadcastTo): Broadcast an array for a compatible shape.

[`Bucketize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Bucketize): Bucketizes 'input' based on 'boundaries'.

[`BytesProducedStatsDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/BytesProducedStatsDataset): Records the bytes size of each element of `input_dataset` in a StatsAggregator.

[`CSRSparseMatrixComponents(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CSRSparseMatrixComponents): Reads out the CSR components at batch `index`.

[`CSRSparseMatrixToDense(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CSRSparseMatrixToDense): Convert a (possibly batched) CSRSparseMatrix to dense.

[`CSRSparseMatrixToSparseTensor(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CSRSparseMatrixToSparseTensor): Converts a (possibly batched) CSRSparesMatrix to a SparseTensor.

[`CSVDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CSVDataset)

[`CSVDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CSVDatasetV2)

[`CTCBeamSearchDecoder(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CTCBeamSearchDecoder): Performs beam search decoding on the logits given in input.

[`CTCGreedyDecoder(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CTCGreedyDecoder): Performs greedy decoding on the logits given in inputs.

[`CTCLoss(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CTCLoss): Calculates the CTC Loss (log probability) for each batch entry.

[`CTCLossV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CTCLossV2): Calculates the CTC Loss (log probability) for each batch entry.

[`CacheDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CacheDataset): Creates a dataset that caches elements from `input_dataset`.

[`CacheDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CacheDatasetV2)

[`Case(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Case): An n-way switch statement which calls a single branch function.

[`Cast(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Cast): Cast x of type SrcT to y of DstT.

[`Ceil(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Ceil): Returns element-wise smallest integer not less than x.

[`CheckNumerics(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CheckNumerics): Checks a tensor for NaN and Inf values.

[`CheckNumericsV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CheckNumericsV2): Checks a tensor for NaN, -Inf and +Inf values.

[`Cholesky(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Cholesky): Computes the Cholesky decomposition of one or more square matrices.

[`CholeskyGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CholeskyGrad): Computes the reverse mode backpropagated gradient of the Cholesky algorithm.

[`ChooseFastestBranchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ChooseFastestBranchDataset)

[`ChooseFastestDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ChooseFastestDataset)

[`ClipByValue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ClipByValue): Clips tensor values to a specified min and max.

[`CloseSummaryWriter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CloseSummaryWriter)

[`CollectiveAllToAllV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveAllToAllV2): Mutually exchanges multiple tensors of identical type and shape.

[`CollectiveAllToAllV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveAllToAllV3): Mutually exchanges multiple tensors of identical type and shape.

[`CollectiveAssignGroupV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveAssignGroupV2): Assign group keys based on group assignment.

[`CollectiveBcastRecv(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveBcastRecv): Receives a tensor value broadcast from another device.

[`CollectiveBcastRecvV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveBcastRecvV2): Receives a tensor value broadcast from another device.

[`CollectiveBcastSend(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveBcastSend): Broadcasts a tensor value to one or more other devices.

[`CollectiveBcastSendV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveBcastSendV2): Broadcasts a tensor value to one or more other devices.

[`CollectiveGather(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveGather): Mutually accumulates multiple tensors of identical type and shape.

[`CollectiveGatherV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveGatherV2): Mutually accumulates multiple tensors of identical type and shape.

[`CollectiveInitializeCommunicator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveInitializeCommunicator): Initializes a group for collective operations.

[`CollectivePermute(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectivePermute): An Op to permute tensors across replicated TPU instances.

[`CollectiveReduce(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveReduce): Mutually reduces multiple tensors of identical type and shape.

[`CollectiveReduceScatterV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveReduceScatterV2): Mutually reduces multiple tensors of identical type and shape and scatters the result.

[`CollectiveReduceV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveReduceV2): Mutually reduces multiple tensors of identical type and shape.

[`CollectiveReduceV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CollectiveReduceV3): Mutually reduces multiple tensors of identical type and shape.

[`CombinedNonMaxSuppression(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CombinedNonMaxSuppression): Greedily selects a subset of bounding boxes in descending order of score,

[`Complex(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Complex): Converts two real numbers to a complex number.

[`ComplexAbs(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ComplexAbs): Computes the complex absolute value of a tensor.

[`CompositeTensorVariantFromComponents(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CompositeTensorVariantFromComponents): Encodes an `ExtensionType` value into a `variant` scalar Tensor.

[`CompositeTensorVariantToComponents(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CompositeTensorVariantToComponents): Decodes a `variant` scalar Tensor into an `ExtensionType` value.

[`CompressElement(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CompressElement): Compresses a dataset element.

[`ComputeAccidentalHits(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ComputeAccidentalHits): Computes the ids of the positions in sampled_candidates that match true_labels.

[`ComputeBatchSize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ComputeBatchSize): Computes the static batch size of a dataset sans partial batches.

[`Concat(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Concat): Concatenates tensors along one dimension.

[`ConcatOffset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ConcatOffset): Computes offsets of concat inputs within its output.

[`ConcatV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ConcatV2): Concatenates tensors along one dimension.

[`ConcatenateDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ConcatenateDataset): Creates a dataset that concatenates `input_dataset` with `another_dataset`.

[`ConditionalAccumulator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ConditionalAccumulator): A conditional accumulator for aggregating gradients.

[`ConfigureDistributedTPU(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ConfigureDistributedTPU): Sets up the centralized structures for a distributed TPU system.

[`ConfigureTPUEmbedding(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ConfigureTPUEmbedding): Sets up TPUEmbedding in a distributed TPU system.

[`Conj(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Conj): Returns the complex conjugate of a complex number.

[`ConjugateTranspose(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ConjugateTranspose): Shuffle dimensions of x according to a permutation and conjugate the result.

[`Const(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Const): Returns a constant tensor.

[`ConsumeMutexLock(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ConsumeMutexLock): This op consumes a lock created by `MutexLock`.

[`ControlTrigger(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ControlTrigger): Does nothing. Serves as a control trigger for scheduling.

[`Conv2D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Conv2D): Computes a 2-D convolution given 4-D `input` and `filter` tensors.

[`Conv2DBackpropFilter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Conv2DBackpropFilter): Computes the gradients of convolution with respect to the filter.

[`Conv2DBackpropFilterV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Conv2DBackpropFilterV2): Computes the gradients of convolution with respect to the filter.

[`Conv2DBackpropInput(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Conv2DBackpropInput): Computes the gradients of convolution with respect to the input.

[`Conv2DBackpropInputV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Conv2DBackpropInputV2): Computes the gradients of convolution with respect to the input.

[`Conv3D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Conv3D): Computes a 3-D convolution given 5-D `input` and `filter` tensors.

[`Conv3DBackpropFilter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Conv3DBackpropFilter): Computes the gradients of 3-D convolution with respect to the filter.

[`Conv3DBackpropFilterV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Conv3DBackpropFilterV2): Computes the gradients of 3-D convolution with respect to the filter.

[`Conv3DBackpropInput(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Conv3DBackpropInput): Computes the gradients of 3-D convolution with respect to the input.

[`Conv3DBackpropInputV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Conv3DBackpropInputV2): Computes the gradients of 3-D convolution with respect to the input.

[`Copy(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Copy): Copy a tensor from CPU-to-CPU or GPU-to-GPU.

[`CopyHost(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CopyHost): Copy a tensor to host.

[`Cos(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Cos): Computes cos of x element-wise.

[`Cosh(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Cosh): Computes hyperbolic cosine of x element-wise.

[`CountUpTo(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CountUpTo): Increments 'ref' until it reaches 'limit'.

[`CreateSummaryDbWriter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CreateSummaryDbWriter)

[`CreateSummaryFileWriter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CreateSummaryFileWriter)

[`CropAndResize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CropAndResize): Extracts crops from the input image tensor and resizes them.

[`CropAndResizeGradBoxes(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CropAndResizeGradBoxes): Computes the gradient of the crop_and_resize op wrt the input boxes tensor.

[`CropAndResizeGradImage(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CropAndResizeGradImage): Computes the gradient of the crop_and_resize op wrt the input image tensor.

[`Cross(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Cross): Compute the pairwise cross product.

[`CrossReplicaSum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CrossReplicaSum): An Op to sum inputs across replicated TPU instances.

[`CudnnRNN(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CudnnRNN): A RNN backed by cuDNN.

[`CudnnRNNBackprop(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CudnnRNNBackprop): Backprop step of CudnnRNN.

[`CudnnRNNBackpropV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CudnnRNNBackpropV2): Backprop step of CudnnRNN.

[`CudnnRNNBackpropV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CudnnRNNBackpropV3): Backprop step of CudnnRNNV3.

[`CudnnRNNCanonicalToParams(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CudnnRNNCanonicalToParams): Converts CudnnRNN params from canonical form to usable form.

[`CudnnRNNCanonicalToParamsV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CudnnRNNCanonicalToParamsV2): Converts CudnnRNN params from canonical form to usable form. It supports the projection in LSTM.

[`CudnnRNNParamsSize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CudnnRNNParamsSize): Computes size of weights that can be used by a Cudnn RNN model.

[`CudnnRNNParamsToCanonical(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CudnnRNNParamsToCanonical): Retrieves CudnnRNN params in canonical form.

[`CudnnRNNParamsToCanonicalV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CudnnRNNParamsToCanonicalV2): Retrieves CudnnRNN params in canonical form. It supports the projection in LSTM.

[`CudnnRNNV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CudnnRNNV2): A RNN backed by cuDNN.

[`CudnnRNNV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CudnnRNNV3): A RNN backed by cuDNN.

[`Cumprod(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Cumprod): Compute the cumulative product of the tensor `x` along `axis`.

[`Cumsum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Cumsum): Compute the cumulative sum of the tensor `x` along `axis`.

[`CumulativeLogsumexp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/CumulativeLogsumexp): Compute the cumulative product of the tensor `x` along `axis`.

[`DataFormatDimMap(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DataFormatDimMap): Returns the dimension index in the destination data format given the one in

[`DataFormatVecPermute(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DataFormatVecPermute): Permute input tensor from `src_format` to `dst_format`.

[`DataServiceDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DataServiceDataset): Creates a dataset that reads data from the tf.data service.

[`DataServiceDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DataServiceDatasetV2): Creates a dataset that reads data from the tf.data service.

[`DataServiceDatasetV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DataServiceDatasetV3): Creates a dataset that reads data from the tf.data service.

[`DataServiceDatasetV4(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DataServiceDatasetV4): Creates a dataset that reads data from the tf.data service.

[`DatasetCardinality(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DatasetCardinality): Returns the cardinality of `input_dataset`.

[`DatasetFromGraph(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DatasetFromGraph): Creates a dataset from the given `graph_def`.

[`DatasetToGraph(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DatasetToGraph): Returns a serialized GraphDef representing `input_dataset`.

[`DatasetToGraphV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DatasetToGraphV2): Returns a serialized GraphDef representing `input_dataset`.

[`DatasetToSingleElement(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DatasetToSingleElement): Outputs the single element from the given dataset.

[`DatasetToTFRecord(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DatasetToTFRecord): Writes the given dataset to the given file using the TFRecord format.

[`Dawsn(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Dawsn)

[`DebugGradientIdentity(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DebugGradientIdentity): Identity op for gradient debugging.

[`DebugGradientRefIdentity(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DebugGradientRefIdentity): Identity op for gradient debugging.

[`DebugIdentity(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DebugIdentity): Provides an identity mapping of the non-Ref type input tensor for debugging.

[`DebugIdentityV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DebugIdentityV2): Debug Identity V2 Op.

[`DebugIdentityV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DebugIdentityV3): Provides an identity mapping of the non-Ref type input tensor for debugging.

[`DebugNanCount(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DebugNanCount): Debug NaN Value Counter Op.

[`DebugNumericSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DebugNumericSummary): Debug Numeric Summary Op.

[`DebugNumericSummaryV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DebugNumericSummaryV2): Debug Numeric Summary V2 Op.

[`DecodeAndCropJpeg(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodeAndCropJpeg): Decode and Crop a JPEG-encoded image to a uint8 tensor.

[`DecodeBase64(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodeBase64): Decode web-safe base64-encoded strings.

[`DecodeBmp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodeBmp): Decode the first frame of a BMP-encoded image to a uint8 tensor.

[`DecodeCSV(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodeCSV): Convert CSV records to tensors. Each column maps to one tensor.

[`DecodeCompressed(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodeCompressed): Decompress strings.

[`DecodeGif(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodeGif): Decode the frame(s) of a GIF-encoded image to a uint8 tensor.

[`DecodeImage(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodeImage): Function for decode_bmp, decode_gif, decode_jpeg, and decode_png.

[`DecodeJSONExample(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodeJSONExample): Convert JSON-encoded Example records to binary protocol buffer strings.

[`DecodeJpeg(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodeJpeg): Decode a JPEG-encoded image to a uint8 tensor.

[`DecodePaddedRaw(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodePaddedRaw): Reinterpret the bytes of a string as a vector of numbers.

[`DecodePng(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodePng): Decode a PNG-encoded image to a uint8 or uint16 tensor.

[`DecodeProtoV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodeProtoV2): The op extracts fields from a serialized protocol buffers message into tensors.

[`DecodeRaw(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodeRaw): Reinterpret the bytes of a string as a vector of numbers.

[`DecodeWav(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DecodeWav): Decode a 16-bit PCM WAV file to a float tensor.

[`DeepCopy(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DeepCopy): Makes a copy of `x`.

[`DeleteIterator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DeleteIterator): A container for an iterator resource.

[`DeleteMemoryCache(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DeleteMemoryCache)

[`DeleteMultiDeviceIterator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DeleteMultiDeviceIterator): A container for an iterator resource.

[`DeleteRandomSeedGenerator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DeleteRandomSeedGenerator)

[`DeleteSeedGenerator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DeleteSeedGenerator)

[`DeleteSessionTensor(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DeleteSessionTensor): Delete the tensor specified by its handle in the session.

[`DenseBincount(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DenseBincount): Counts the number of occurrences of each value in an integer array.

[`DenseCountSparseOutput(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DenseCountSparseOutput): Performs sparse-output bin counting for a tf.tensor input.

[`DenseToCSRSparseMatrix(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix): Converts a dense tensor to a (possibly batched) CSRSparseMatrix.

[`DenseToDenseSetOperation(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DenseToDenseSetOperation): Applies set operation along last dimension of 2 `Tensor` inputs.

[`DenseToSparseBatchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DenseToSparseBatchDataset): Creates a dataset that batches input elements into a SparseTensor.

[`DenseToSparseSetOperation(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DenseToSparseSetOperation): Applies set operation along last dimension of `Tensor` and `SparseTensor`.

[`DepthToSpace(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DepthToSpace): DepthToSpace for tensors of type T.

[`DepthwiseConv2dNative(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DepthwiseConv2dNative): Computes a 2-D depthwise convolution given 4-D `input` and `filter` tensors.

[`DepthwiseConv2dNativeBackpropFilter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DepthwiseConv2dNativeBackpropFilter): Computes the gradients of depthwise convolution with respect to the filter.

[`DepthwiseConv2dNativeBackpropInput(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DepthwiseConv2dNativeBackpropInput): Computes the gradients of depthwise convolution with respect to the input.

[`Dequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Dequantize): Dequantize the 'input' tensor into a float or bfloat16 Tensor.

[`DeserializeIterator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DeserializeIterator): Converts the given variant tensor to an iterator and stores it in the given resource.

[`DeserializeManySparse(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DeserializeManySparse): Deserialize and concatenate `SparseTensors` from a serialized minibatch.

[`DeserializeSparse(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DeserializeSparse): Deserialize `SparseTensor` objects.

[`DestroyResourceOp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DestroyResourceOp): Deletes the resource specified by the handle.

[`DestroyTemporaryVariable(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DestroyTemporaryVariable): Destroys the temporary variable and returns its final value.

[`DeviceIndex(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DeviceIndex): Return the index of device the op runs.

[`Diag(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Diag): Returns a diagonal tensor with a given diagonal values.

[`DiagPart(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DiagPart): Returns the diagonal part of the tensor.

[`Digamma(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Digamma): Computes Psi, the derivative of Lgamma (the log of the absolute value of

[`Dilation2D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Dilation2D): Computes the grayscale dilation of 4-D `input` and 3-D `filter` tensors.

[`Dilation2DBackpropFilter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Dilation2DBackpropFilter): Computes the gradient of morphological 2-D dilation with respect to the filter.

[`Dilation2DBackpropInput(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Dilation2DBackpropInput): Computes the gradient of morphological 2-D dilation with respect to the input.

[`DirectedInterleaveDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DirectedInterleaveDataset): A substitute for `InterleaveDataset` on a fixed list of `N` datasets.

[`DisableCopyOnRead(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DisableCopyOnRead): Turns off the copy-on-read mode.

[`DistributedSave(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DistributedSave)

[`Div(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Div): Returns x / y element-wise.

[`DivNoNan(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DivNoNan): Returns 0 if the denominator is zero.

[`DrawBoundingBoxes(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DrawBoundingBoxes): Draw bounding boxes on a batch of images.

[`DrawBoundingBoxesV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DrawBoundingBoxesV2): Draw bounding boxes on a batch of images.

[`DummyIterationCounter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DummyIterationCounter)

[`DummyMemoryCache(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DummyMemoryCache)

[`DummySeedGenerator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DummySeedGenerator)

[`DynamicEnqueueTPUEmbeddingArbitraryTensorBatch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DynamicEnqueueTPUEmbeddingArbitraryTensorBatch): Eases the porting of code that uses tf.nn.embedding_lookup_sparse().

[`DynamicPartition(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DynamicPartition): Partitions `data` into `num_partitions` tensors using indices from `partitions`.

[`DynamicStitch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/DynamicStitch): Interleave the values from the `data` tensors into a single tensor.

[`EagerPyFunc(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EagerPyFunc): Eagerly executes a python function to compute func(input)-\>output.

[`EditDistance(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EditDistance): Computes the (possibly normalized) Levenshtein Edit Distance.

[`Eig(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Eig): Computes the eigen decomposition of one or more square matrices.

[`Einsum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Einsum): Tensor contraction according to Einstein summation convention.

[`Elu(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Elu): Computes the exponential linear function.

[`EluGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EluGrad): Computes gradients for the exponential linear (Elu) operation.

[`Empty(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Empty): Creates a tensor with the given shape.

[`EmptyTensorList(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EmptyTensorList): Creates and returns an empty tensor list.

[`EncodeBase64(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EncodeBase64): Encode strings into web-safe base64 format.

[`EncodeJpeg(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EncodeJpeg): JPEG-encode an image.

[`EncodeJpegVariableQuality(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EncodeJpegVariableQuality): JPEG encode input image with provided compression quality.

[`EncodePng(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EncodePng): PNG-encode an image.

[`EncodeProto(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EncodeProto): The op serializes protobuf messages provided in the input tensors.

[`EncodeWav(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EncodeWav): Encode audio data using the WAV file format.

[`EnqueueTPUEmbeddingArbitraryTensorBatch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EnqueueTPUEmbeddingArbitraryTensorBatch): Eases the porting of code that uses tf.nn.embedding_lookup_sparse().

[`EnqueueTPUEmbeddingIntegerBatch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EnqueueTPUEmbeddingIntegerBatch): An op that enqueues a list of input batch tensors to TPUEmbedding.

[`EnqueueTPUEmbeddingRaggedTensorBatch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EnqueueTPUEmbeddingRaggedTensorBatch): Eases the porting of code that uses tf.nn.embedding_lookup().

[`EnqueueTPUEmbeddingSparseBatch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EnqueueTPUEmbeddingSparseBatch): An op that enqueues TPUEmbedding input indices from a SparseTensor.

[`EnqueueTPUEmbeddingSparseTensorBatch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EnqueueTPUEmbeddingSparseTensorBatch): Eases the porting of code that uses tf.nn.embedding_lookup_sparse().

[`EnsureShape(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EnsureShape): Ensures that the tensor's shape matches the expected shape.

[`Enter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Enter): Creates or finds a child frame, and makes `data` available to the child frame.

[`Equal(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Equal): Returns the truth value of (x == y) element-wise.

[`Erf(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Erf): Computes the [Gauss error function](https://en.wikipedia.org/wiki/Error_function) of `x` element-wise. In statistics, for non-negative values of \\(x\\), the error function has the following interpretation: for a random variable \\(Y\\) that is normally distributed with mean 0 and variance \\(1/\\sqrt{2}\\), \\(erf(x)\\) is the probability that \\(Y\\) falls in the range \\(\[−x, x\]\\).

[`Erfc(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Erfc): Computes the complementary error function of `x` element-wise.

[`Erfinv(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Erfinv)

[`EuclideanNorm(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/EuclideanNorm): Computes the euclidean norm of elements across dimensions of a tensor.

[`Exit(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Exit): Exits the current frame to its parent frame.

[`Exp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Exp): Computes exponential of x element-wise. \\(y = e\^x\\).

[`ExpandDims(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExpandDims): Inserts a dimension of 1 into a tensor's shape.

[`ExperimentalAssertNextDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalAssertNextDataset)

[`ExperimentalAutoShardDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalAutoShardDataset): Creates a dataset that shards the input dataset.

[`ExperimentalBytesProducedStatsDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalBytesProducedStatsDataset): Records the bytes size of each element of `input_dataset` in a StatsAggregator.

[`ExperimentalCSVDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalCSVDataset)

[`ExperimentalChooseFastestDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalChooseFastestDataset)

[`ExperimentalDatasetCardinality(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalDatasetCardinality): Returns the cardinality of `input_dataset`.

[`ExperimentalDatasetToTFRecord(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalDatasetToTFRecord): Writes the given dataset to the given file using the TFRecord format.

[`ExperimentalDenseToSparseBatchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalDenseToSparseBatchDataset): Creates a dataset that batches input elements into a SparseTensor.

[`ExperimentalDirectedInterleaveDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalDirectedInterleaveDataset): A substitute for `InterleaveDataset` on a fixed list of `N` datasets.

[`ExperimentalGroupByReducerDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalGroupByReducerDataset): Creates a dataset that computes a group-by on `input_dataset`.

[`ExperimentalGroupByWindowDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalGroupByWindowDataset): Creates a dataset that computes a windowed group-by on `input_dataset`.

[`ExperimentalIgnoreErrorsDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalIgnoreErrorsDataset): Creates a dataset that contains the elements of `input_dataset` ignoring errors.

[`ExperimentalIteratorGetDevice(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalIteratorGetDevice): Returns the name of the device on which `resource` has been placed.

[`ExperimentalLMDBDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalLMDBDataset)

[`ExperimentalLatencyStatsDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalLatencyStatsDataset): Records the latency of producing `input_dataset` elements in a StatsAggregator.

[`ExperimentalMapAndBatchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalMapAndBatchDataset): Creates a dataset that fuses mapping with batching.

[`ExperimentalMapDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalMapDataset): Creates a dataset that applies `f` to the outputs of `input_dataset`.

[`ExperimentalMatchingFilesDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalMatchingFilesDataset)

[`ExperimentalMaxIntraOpParallelismDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalMaxIntraOpParallelismDataset): Creates a dataset that overrides the maximum intra-op parallelism.

[`ExperimentalNonSerializableDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalNonSerializableDataset)

[`ExperimentalParallelInterleaveDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalParallelInterleaveDataset): Creates a dataset that applies `f` to the outputs of `input_dataset`.

[`ExperimentalParseExampleDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalParseExampleDataset): Transforms `input_dataset` containing `Example` protos as vectors of DT_STRING into a dataset of `Tensor` or `SparseTensor` objects representing the parsed features.

[`ExperimentalPrivateThreadPoolDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalPrivateThreadPoolDataset): Creates a dataset that uses a custom thread pool to compute `input_dataset`.

[`ExperimentalRandomDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalRandomDataset): Creates a Dataset that returns pseudorandom numbers.

[`ExperimentalRebatchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalRebatchDataset): Creates a dataset that changes the batch size.

[`ExperimentalScanDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalScanDataset): Creates a dataset successively reduces `f` over the elements of `input_dataset`.

[`ExperimentalSetStatsAggregatorDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalSetStatsAggregatorDataset)

[`ExperimentalSleepDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalSleepDataset)

[`ExperimentalSlidingWindowDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalSlidingWindowDataset): Creates a dataset that passes a sliding window over `input_dataset`.

[`ExperimentalSqlDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalSqlDataset): Creates a dataset that executes a SQL query and emits rows of the result set.

[`ExperimentalStatsAggregatorHandle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalStatsAggregatorHandle): Creates a statistics manager resource.

[`ExperimentalStatsAggregatorSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalStatsAggregatorSummary): Produces a summary of any statistics recorded by the given statistics manager.

[`ExperimentalTakeWhileDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalTakeWhileDataset): Creates a dataset that stops iteration when predicate\` is false.

[`ExperimentalThreadPoolDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalThreadPoolDataset): Creates a dataset that uses a custom thread pool to compute `input_dataset`.

[`ExperimentalThreadPoolHandle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalThreadPoolHandle): Creates a dataset that uses a custom thread pool to compute `input_dataset`.

[`ExperimentalUnbatchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalUnbatchDataset): A dataset that splits the elements of its input into multiple elements.

[`ExperimentalUniqueDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExperimentalUniqueDataset): Creates a dataset that contains the unique elements of `input_dataset`.

[`Expint(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Expint)

[`Expm1(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Expm1): Computes `exp(x) - 1` element-wise.

[`ExtractGlimpse(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExtractGlimpse): Extracts a glimpse from the input tensor.

[`ExtractGlimpseV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExtractGlimpseV2): Extracts a glimpse from the input tensor.

[`ExtractImagePatches(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExtractImagePatches): Extract `patches` from `images` and put them in the "depth" output dimension.

[`ExtractJpegShape(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExtractJpegShape): Extract the shape information of a JPEG-encoded image.

[`ExtractVolumePatches(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ExtractVolumePatches): Extract `patches` from `input` and put them in the `"depth"` output dimension. 3D extension of `extract_image_patches`.

[`FFT(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FFT): Fast Fourier transform.

[`FFT2D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FFT2D): 2D fast Fourier transform.

[`FFT3D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FFT3D): 3D fast Fourier transform.

[`FIFOQueue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FIFOQueue): A queue that produces elements in first-in first-out order.

[`FIFOQueueV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FIFOQueueV2): A queue that produces elements in first-in first-out order.

[`Fact(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Fact): Output a fact about factorials.

[`FakeParam(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FakeParam): This op is used as a placeholder in If branch functions.

[`FakeQuantWithMinMaxArgs(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FakeQuantWithMinMaxArgs): Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same shape and type.

[`FakeQuantWithMinMaxArgsGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FakeQuantWithMinMaxArgsGradient): Compute gradients for a FakeQuantWithMinMaxArgs operation.

[`FakeQuantWithMinMaxVars(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FakeQuantWithMinMaxVars): Fake-quantize the 'inputs' tensor of type float via global float scalars

[`FakeQuantWithMinMaxVarsGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FakeQuantWithMinMaxVarsGradient): Compute gradients for a FakeQuantWithMinMaxVars operation.

[`FakeQuantWithMinMaxVarsPerChannel(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FakeQuantWithMinMaxVarsPerChannel): Fake-quantize the 'inputs' tensor of type float via per-channel floats

[`FakeQuantWithMinMaxVarsPerChannelGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FakeQuantWithMinMaxVarsPerChannelGradient): Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.

[`FakeQueue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FakeQueue): Deprecated. Do not use.

[`Fill(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Fill): Creates a tensor filled with a scalar value.

[`FilterByLastComponentDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FilterByLastComponentDataset): Creates a dataset containing elements of first component of `input_dataset` having true in the last component.

[`FilterDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FilterDataset): Creates a dataset containing elements of `input_dataset` matching `predicate`.

[`FinalizeDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FinalizeDataset): Creates a dataset by applying [`tf.data.Options`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/data/Options) to `input_dataset`.

[`Fingerprint(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Fingerprint): Generates fingerprint values.

[`FixedLengthRecordDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FixedLengthRecordDataset): Creates a dataset that emits the records from one or more binary files.

[`FixedLengthRecordDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FixedLengthRecordDatasetV2)

[`FixedLengthRecordReader(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FixedLengthRecordReader): A Reader that outputs fixed-length records from a file.

[`FixedLengthRecordReaderV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FixedLengthRecordReaderV2): A Reader that outputs fixed-length records from a file.

[`FixedUnigramCandidateSampler(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FixedUnigramCandidateSampler): Generates labels for candidate sampling with a learned unigram distribution.

[`FlatMapDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FlatMapDataset): Creates a dataset that applies `f` to the outputs of `input_dataset`.

[`Floor(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Floor): Returns element-wise largest integer not greater than x.

[`FloorDiv(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FloorDiv): Returns x // y element-wise.

[`FloorMod(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FloorMod): Returns element-wise remainder of division.

[`FlushSummaryWriter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FlushSummaryWriter)

[`For(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/For): Applies a for loop.

[`FractionalAvgPool(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FractionalAvgPool): Performs fractional average pooling on the input.

[`FractionalAvgPoolGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FractionalAvgPoolGrad): Computes gradient of the FractionalAvgPool function.

[`FractionalMaxPool(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FractionalMaxPool): Performs fractional max pooling on the input.

[`FractionalMaxPoolGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FractionalMaxPoolGrad): Computes gradient of the FractionalMaxPool function.

[`FresnelCos(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FresnelCos)

[`FresnelSin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FresnelSin)

[`FusedBatchNorm(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FusedBatchNorm): Batch normalization.

[`FusedBatchNormGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FusedBatchNormGrad): Gradient for batch normalization.

[`FusedBatchNormGradV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FusedBatchNormGradV2): Gradient for batch normalization.

[`FusedBatchNormGradV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FusedBatchNormGradV3): Gradient for batch normalization.

[`FusedBatchNormV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FusedBatchNormV2): Batch normalization.

[`FusedBatchNormV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FusedBatchNormV3): Batch normalization.

[`FusedPadConv2D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FusedPadConv2D): Performs a padding as a preprocess during a convolution.

[`FusedResizeAndPadConv2D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/FusedResizeAndPadConv2D): Performs a resize and padding as a preprocess during a convolution.

[`GRUBlockCell(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GRUBlockCell): Computes the GRU cell forward propagation for 1 time step.

[`GRUBlockCellGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GRUBlockCellGrad): Computes the GRU cell back-propagation for 1 time step.

[`Gather(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Gather): Gather slices from `params` according to `indices`.

[`GatherNd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GatherNd): Gather slices from `params` into a Tensor with shape specified by `indices`.

[`GatherV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GatherV2): Gather slices from `params` axis `axis` according to `indices`.

[`GenerateBoundingBoxProposals(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GenerateBoundingBoxProposals): This op produces Region of Interests from given bounding boxes(bbox_deltas) encoded wrt anchors according to eq.2 in arXiv:1506.01497

[`GenerateVocabRemapping(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GenerateVocabRemapping): Given a path to new and old vocabulary files, returns a remapping Tensor of

[`GeneratorDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GeneratorDataset): Creates a dataset that invokes a function to generate elements.

[`GetElementAtIndex(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GetElementAtIndex): Gets the element at the specified index in a dataset.

[`GetOptions(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GetOptions): Returns the [`tf.data.Options`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/data/Options) attached to `input_dataset`.

[`GetSessionHandle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GetSessionHandle): Store the input tensor in the state of the current session.

[`GetSessionHandleV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GetSessionHandleV2): Store the input tensor in the state of the current session.

[`GetSessionTensor(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GetSessionTensor): Get the value of the tensor specified by its handle.

[`Greater(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Greater): Returns the truth value of (x \> y) element-wise.

[`GreaterEqual(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GreaterEqual): Returns the truth value of (x \>= y) element-wise.

[`GroupByReducerDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GroupByReducerDataset): Creates a dataset that computes a group-by on `input_dataset`.

[`GroupByWindowDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GroupByWindowDataset): Creates a dataset that computes a windowed group-by on `input_dataset`.

[`GuaranteeConst(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/GuaranteeConst): Gives a guarantee to the TF runtime that the input tensor is a constant.

[`HSVToRGB(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/HSVToRGB): Convert one or more images from HSV to RGB.

[`HashTable(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/HashTable): Creates a non-initialized hash table.

[`HashTableV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/HashTableV2): Creates a non-initialized hash table.

[`HistogramFixedWidth(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/HistogramFixedWidth): Return histogram of values.

[`HistogramSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/HistogramSummary): Outputs a `Summary` protocol buffer with a histogram.

[`IFFT(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IFFT): Inverse fast Fourier transform.

[`IFFT2D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IFFT2D): Inverse 2D fast Fourier transform.

[`IFFT3D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IFFT3D): Inverse 3D fast Fourier transform.

[`IRFFT(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IRFFT): Inverse real-valued fast Fourier transform.

[`IRFFT2D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IRFFT2D): Inverse 2D real-valued fast Fourier transform.

[`IRFFT3D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IRFFT3D): Inverse 3D real-valued fast Fourier transform.

[`Identity(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Identity): Return a tensor with the same shape and contents as the input tensor or value.

[`IdentityN(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IdentityN): Returns a list of tensors with the same shapes and contents as the input

[`IdentityReader(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IdentityReader): A Reader that outputs the queued work as both the key and value.

[`IdentityReaderV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IdentityReaderV2): A Reader that outputs the queued work as both the key and value.

[`If(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/If): output = cond ? then_branch(input) : else_branch(input)

[`Igamma(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Igamma): Compute the lower regularized incomplete Gamma function `P(a, x)`.

[`IgammaGradA(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IgammaGradA): Computes the gradient of `igamma(a, x)` wrt `a`.

[`Igammac(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Igammac): Compute the upper regularized incomplete Gamma function `Q(a, x)`.

[`IgnoreErrorsDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IgnoreErrorsDataset): Creates a dataset that contains the elements of `input_dataset` ignoring errors.

[`Imag(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Imag): Returns the imaginary part of a complex number.

[`ImageProjectiveTransformV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ImageProjectiveTransformV2): Applies the given transform to each of the images.

[`ImageProjectiveTransformV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ImageProjectiveTransformV3): Applies the given transform to each of the images.

[`ImageSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ImageSummary): Outputs a `Summary` protocol buffer with images.

[`ImmutableConst(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ImmutableConst): Returns immutable tensor from memory region.

[`ImportEvent(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ImportEvent)

[`InTopK(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InTopK): Says whether the targets are in the top `K` predictions.

[`InTopKV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InTopKV2): Says whether the targets are in the top `K` predictions.

[`InfeedDequeue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InfeedDequeue): A placeholder op for a value that will be fed into the computation.

[`InfeedDequeueTuple(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InfeedDequeueTuple): Fetches multiple values from infeed as an XLA tuple.

[`InfeedEnqueue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InfeedEnqueue): An op which feeds a single Tensor value into the computation.

[`InfeedEnqueuePrelinearizedBuffer(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InfeedEnqueuePrelinearizedBuffer): An op which enqueues prelinearized buffer into TPU infeed.

[`InfeedEnqueueTuple(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InfeedEnqueueTuple): Feeds multiple Tensor values into the computation as an XLA tuple.

[`InitializeTable(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InitializeTable): Table initializer that takes two tensors for keys and values respectively.

[`InitializeTableFromDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InitializeTableFromDataset)

[`InitializeTableFromTextFile(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InitializeTableFromTextFile): Initializes a table from a text file.

[`InitializeTableFromTextFileV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InitializeTableFromTextFileV2): Initializes a table from a text file.

[`InitializeTableV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InitializeTableV2): Table initializer that takes two tensors for keys and values respectively.

[`InplaceAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InplaceAdd): Adds v into specified rows of x.

[`InplaceSub(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InplaceSub): Subtracts `v` into specified rows of `x`.

[`InplaceUpdate(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InplaceUpdate): Updates specified rows 'i' with values 'v'.

[`InterleaveDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InterleaveDataset): Creates a dataset that applies `f` to the outputs of `input_dataset`.

[`Inv(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Inv): Computes the reciprocal of x element-wise.

[`InvGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InvGrad): Computes the gradient for the inverse of `x` wrt its input.

[`Invert(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Invert): Invert (flip) each bit of supported types; for example, type `uint8` value 01010101 becomes 10101010.

[`InvertPermutation(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/InvertPermutation): Computes the inverse permutation of a tensor.

[`IsBoostedTreesEnsembleInitialized(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IsBoostedTreesEnsembleInitialized): Checks whether a tree ensemble has been initialized.

[`IsBoostedTreesQuantileStreamResourceInitialized(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IsBoostedTreesQuantileStreamResourceInitialized): Checks whether a quantile stream has been initialized.

[`IsFinite(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IsFinite): Returns which elements of x are finite.

[`IsInf(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IsInf): Returns which elements of x are Inf.

[`IsNan(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IsNan): Returns which elements of x are NaN.

[`IsTPUEmbeddingInitialized(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IsTPUEmbeddingInitialized): Whether TPU Embedding is initialized in a distributed TPU system.

[`IsVariableInitialized(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IsVariableInitialized): Checks whether a tensor has been initialized.

[`IsotonicRegression(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IsotonicRegression): Solves a batch of isotonic regression problems.

[`Iterator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Iterator): A container for an iterator resource.

[`IteratorFromStringHandle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IteratorFromStringHandle): Converts the given string representing a handle to an iterator to a resource.

[`IteratorFromStringHandleV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IteratorFromStringHandleV2)

[`IteratorGetDevice(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IteratorGetDevice): Returns the name of the device on which `resource` has been placed.

[`IteratorGetNext(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IteratorGetNext): Gets the next output from the given iterator .

[`IteratorGetNextAsOptional(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IteratorGetNextAsOptional): Gets the next output from the given iterator as an Optional variant.

[`IteratorGetNextSync(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IteratorGetNextSync): Gets the next output from the given iterator.

[`IteratorToStringHandle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IteratorToStringHandle): Converts the given `resource_handle` representing an iterator to a string.

[`IteratorV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/IteratorV2)

[`L2Loss(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/L2Loss): L2 Loss.

[`LMDBDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LMDBDataset): Creates a dataset that emits the key-value pairs in one or more LMDB files.

[`LMDBReader(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LMDBReader): A Reader that outputs the records from a LMDB file.

[`LRN(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LRN): Local Response Normalization.

[`LRNGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LRNGrad): Gradients for Local Response Normalization.

[`LSTMBlockCell(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LSTMBlockCell): Computes the LSTM cell forward propagation for 1 time step.

[`LSTMBlockCellGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LSTMBlockCellGrad): Computes the LSTM cell backward propagation for 1 timestep.

[`LatencyStatsDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LatencyStatsDataset): Records the latency of producing `input_dataset` elements in a StatsAggregator.

[`LeakyRelu(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LeakyRelu): Computes rectified linear: `max(features, features * alpha)`.

[`LeakyReluGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LeakyReluGrad): Computes rectified linear gradients for a LeakyRelu operation.

[`LearnedUnigramCandidateSampler(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LearnedUnigramCandidateSampler): Generates labels for candidate sampling with a learned unigram distribution.

[`LeftShift(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LeftShift): Elementwise computes the bitwise left-shift of `x` and `y`.

[`LegacyParallelInterleaveDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LegacyParallelInterleaveDatasetV2): Creates a dataset that applies `f` to the outputs of `input_dataset`.

[`Less(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Less): Returns the truth value of (x \< y) element-wise.

[`LessEqual(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LessEqual): Returns the truth value of (x \<= y) element-wise.

[`Lgamma(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Lgamma): Computes the log of the absolute value of `Gamma(x)` element-wise.

[`LinSpace(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LinSpace): Generates values in an interval.

[`ListDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ListDataset): Creates a dataset that emits each of `tensors` once.

[`ListDiff(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ListDiff): Computes the difference between two lists of numbers or strings.

[`LoadAndRemapMatrix(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadAndRemapMatrix): Loads a 2-D (matrix) `Tensor` with name `old_tensor_name` from the checkpoint

[`LoadDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadDataset)

[`LoadTPUEmbeddingADAMParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingADAMParameters): Load ADAM embedding parameters.

[`LoadTPUEmbeddingAdadeltaParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingAdadeltaParameters): Load Adadelta embedding parameters.

[`LoadTPUEmbeddingAdagradMomentumParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingAdagradMomentumParameters): Load Adagrad Momentum embedding parameters.

[`LoadTPUEmbeddingAdagradParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingAdagradParameters): Load Adagrad embedding parameters.

[`LoadTPUEmbeddingCenteredRMSPropParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingCenteredRMSPropParameters): Load centered RMSProp embedding parameters.

[`LoadTPUEmbeddingFTRLParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingFTRLParameters): Load FTRL embedding parameters.

[`LoadTPUEmbeddingFrequencyEstimatorParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingFrequencyEstimatorParameters): Load frequency estimator embedding parameters.

[`LoadTPUEmbeddingMDLAdagradLightParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingMDLAdagradLightParameters): Load MDL Adagrad Light embedding parameters.

[`LoadTPUEmbeddingMomentumParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingMomentumParameters): Load Momentum embedding parameters.

[`LoadTPUEmbeddingProximalAdagradParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingProximalAdagradParameters): Load proximal Adagrad embedding parameters.

[`LoadTPUEmbeddingProximalYogiParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingProximalYogiParameters)

[`LoadTPUEmbeddingRMSPropParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingRMSPropParameters): Load RMSProp embedding parameters.

[`LoadTPUEmbeddingStochasticGradientDescentParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoadTPUEmbeddingStochasticGradientDescentParameters): Load SGD embedding parameters.

[`Log(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Log): Computes natural logarithm of x element-wise.

[`Log1p(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Log1p): Computes natural logarithm of (1 + x) element-wise.

[`LogMatrixDeterminant(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LogMatrixDeterminant): Computes the sign and the log of the absolute value of the determinant of

[`LogSoftmax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LogSoftmax): Computes log softmax activations.

[`LogUniformCandidateSampler(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LogUniformCandidateSampler): Generates labels for candidate sampling with a log-uniform distribution.

[`LogicalAnd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LogicalAnd): Returns the truth value of x AND y element-wise.

[`LogicalNot(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LogicalNot): Returns the truth value of `NOT x` element-wise.

[`LogicalOr(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LogicalOr): Returns the truth value of x OR y element-wise.

[`LookupTableExport(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LookupTableExport): Outputs all keys and values in the table.

[`LookupTableExportV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LookupTableExportV2): Outputs all keys and values in the table.

[`LookupTableFind(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LookupTableFind): Looks up keys in a table, outputs the corresponding values.

[`LookupTableFindV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LookupTableFindV2): Looks up keys in a table, outputs the corresponding values.

[`LookupTableImport(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LookupTableImport): Replaces the contents of the table with the specified keys and values.

[`LookupTableImportV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LookupTableImportV2): Replaces the contents of the table with the specified keys and values.

[`LookupTableInsert(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LookupTableInsert): Updates the table to associates keys with values.

[`LookupTableInsertV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LookupTableInsertV2): Updates the table to associates keys with values.

[`LookupTableRemoveV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LookupTableRemoveV2): Removes keys and its associated values from a table.

[`LookupTableSize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LookupTableSize): Computes the number of elements in the given table.

[`LookupTableSizeV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LookupTableSizeV2): Computes the number of elements in the given table.

[`LoopCond(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LoopCond): Forwards the input to the output.

[`LowerBound(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/LowerBound): Applies lower_bound(sorted_search_values, values) along each row.

[`Lu(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Lu): Computes the LU decomposition of one or more square matrices.

[`MakeIterator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MakeIterator): Makes a new iterator from the given `dataset` and stores it in `iterator`.

[`MapAndBatchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MapAndBatchDataset): Creates a dataset that fuses mapping with batching.

[`MapClear(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MapClear): Op removes all elements in the underlying container.

[`MapDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MapDataset): Creates a dataset that applies `f` to the outputs of `input_dataset`.

[`MapDefun(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MapDefun): Maps a function on the list of tensors unpacked from arguments on dimension 0.

[`MapIncompleteSize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MapIncompleteSize): Op returns the number of incomplete elements in the underlying container.

[`MapPeek(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MapPeek): Op peeks at the values at the specified key.

[`MapSize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MapSize): Op returns the number of elements in the underlying container.

[`MapStage(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MapStage): Stage (key, values) in the underlying container which behaves like a hashtable.

[`MapUnstage(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MapUnstage): Op removes and returns the values associated with the key

[`MapUnstageNoKey(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MapUnstageNoKey): Op removes and returns a random (key, value)

[`MatMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatMul): Multiply the matrix "a" by the matrix "b".

[`MatchingFiles(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatchingFiles): Returns the set of files matching one or more glob patterns.

[`MatchingFilesDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatchingFilesDataset)

[`MatrixBandPart(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixBandPart): Copy a tensor setting everything outside a central band in each innermost matrix to zero.

[`MatrixDeterminant(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixDeterminant): Computes the determinant of one or more square matrices.

[`MatrixDiag(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixDiag): Returns a batched diagonal tensor with a given batched diagonal values.

[`MatrixDiagPart(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixDiagPart): Returns the batched diagonal part of a batched tensor.

[`MatrixDiagPartV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixDiagPartV2): Returns the batched diagonal part of a batched tensor.

[`MatrixDiagPartV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixDiagPartV3): Returns the batched diagonal part of a batched tensor.

[`MatrixDiagV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixDiagV2): Returns a batched diagonal tensor with given batched diagonal values.

[`MatrixDiagV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixDiagV3): Returns a batched diagonal tensor with given batched diagonal values.

[`MatrixExponential(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixExponential): Deprecated, use python implementation tf.linalg.matrix_exponential.

[`MatrixInverse(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixInverse): Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes).

[`MatrixLogarithm(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixLogarithm): Computes the matrix logarithm of one or more square matrices:

[`MatrixSetDiag(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixSetDiag): Returns a batched matrix tensor with new batched diagonal values.

[`MatrixSetDiagV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixSetDiagV2): Returns a batched matrix tensor with new batched diagonal values.

[`MatrixSetDiagV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixSetDiagV3): Returns a batched matrix tensor with new batched diagonal values.

[`MatrixSolve(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixSolve): Solves systems of linear equations.

[`MatrixSolveLs(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixSolveLs): Solves one or more linear least-squares problems.

[`MatrixSquareRoot(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixSquareRoot): Computes the matrix square root of one or more square matrices:

[`MatrixTriangularSolve(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MatrixTriangularSolve): Solves systems of linear equations with upper or lower triangular matrices by backsubstitution.

[`Max(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Max): Computes the maximum of elements across dimensions of a tensor.

[`MaxIntraOpParallelismDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxIntraOpParallelismDataset): Creates a dataset that overrides the maximum intra-op parallelism.

[`MaxPool(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxPool): Performs max pooling on the input.

[`MaxPool3D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxPool3D): Performs 3D max pooling on the input.

[`MaxPool3DGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxPool3DGrad): Computes gradients of 3D max pooling function.

[`MaxPool3DGradGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxPool3DGradGrad): Computes second-order gradients of the maxpooling function.

[`MaxPoolGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxPoolGrad): Computes gradients of the maxpooling function.

[`MaxPoolGradGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxPoolGradGrad): Computes second-order gradients of the maxpooling function.

[`MaxPoolGradGradV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxPoolGradGradV2): Computes second-order gradients of the maxpooling function.

[`MaxPoolGradGradWithArgmax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxPoolGradGradWithArgmax): Computes second-order gradients of the maxpooling function.

[`MaxPoolGradV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxPoolGradV2): Computes gradients of the maxpooling function.

[`MaxPoolGradWithArgmax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxPoolGradWithArgmax): Computes gradients of the maxpooling function.

[`MaxPoolV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxPoolV2): Performs max pooling on the input.

[`MaxPoolWithArgmax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MaxPoolWithArgmax): Performs max pooling on the input and outputs both max values and indices.

[`Maximum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Maximum): Returns the max of x and y (i.e. x \> y ? x : y) element-wise.

[`Mean(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Mean): Computes the mean of elements across dimensions of a tensor.

[`Merge(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Merge): Forwards the value of an available tensor from `inputs` to `output`.

[`MergeSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MergeSummary): Merges summaries.

[`MergeV2Checkpoints(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MergeV2Checkpoints): V2 format specific: merges the metadata files of sharded checkpoints.

[`Mfcc(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Mfcc): Transforms a spectrogram into a form that's useful for speech recognition.

[`Min(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Min): Computes the minimum of elements across dimensions of a tensor.

[`Minimum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Minimum): Returns the min of x and y (i.e. x \< y ? x : y) element-wise.

[`MirrorPad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MirrorPad): Pads a tensor with mirrored values.

[`MirrorPadGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MirrorPadGrad): Gradient op for `MirrorPad` op. This op folds a mirror-padded tensor.

[`Mod(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Mod): Returns element-wise remainder of division.

[`ModelDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ModelDataset): Identity transformation that models performance.

[`Mul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Mul): Returns x \* y element-wise.

[`MulNoNan(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MulNoNan): Returns x \* y element-wise. Returns zero if y is zero, even if x if infinite or NaN.

[`MultiDeviceIterator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MultiDeviceIterator): Creates a MultiDeviceIterator resource.

[`MultiDeviceIteratorFromStringHandle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MultiDeviceIteratorFromStringHandle): Generates a MultiDeviceIterator resource from its provided string handle.

[`MultiDeviceIteratorGetNextFromShard(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MultiDeviceIteratorGetNextFromShard): Gets next element for the provided shard number.

[`MultiDeviceIteratorInit(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MultiDeviceIteratorInit): Initializes the multi device iterator with the given dataset.

[`MultiDeviceIteratorToStringHandle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MultiDeviceIteratorToStringHandle): Produces a string handle for the given MultiDeviceIterator.

[`Multinomial(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Multinomial): Draws samples from a multinomial distribution.

[`MutableDenseHashTable(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MutableDenseHashTable): Creates an empty hash table that uses tensors as the backing store.

[`MutableDenseHashTableV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MutableDenseHashTableV2): Creates an empty hash table that uses tensors as the backing store.

[`MutableHashTable(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MutableHashTable): Creates an empty hash table.

[`MutableHashTableOfTensors(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MutableHashTableOfTensors): Creates an empty hash table.

[`MutableHashTableOfTensorsV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MutableHashTableOfTensorsV2): Creates an empty hash table.

[`MutableHashTableV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MutableHashTableV2): Creates an empty hash table.

[`MutexLock(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MutexLock): Locks a mutex resource.

[`MutexV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/MutexV2): Creates a Mutex resource that can be locked by `MutexLock`.

[`NcclAllReduce(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NcclAllReduce): Outputs a tensor containing the reduction across all input tensors.

[`NcclBroadcast(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NcclBroadcast): Sends `input` to all devices that are connected to the output.

[`NcclReduce(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NcclReduce): Reduces `input` from `num_devices` using `reduction` to a single device.

[`Ndtri(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Ndtri)

[`Neg(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Neg): Computes numerical negative value element-wise.

[`NextAfter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NextAfter): Returns the next representable value of `x1` in the direction of `x2`, element-wise.

[`NextIteration(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NextIteration): Makes its input available to the next iteration.

[`NoOp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NoOp): Does nothing. Only useful as a placeholder for control edges.

[`NonDeterministicInts(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NonDeterministicInts): Non-deterministically generates some integers.

[`NonMaxSuppression(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NonMaxSuppression): Greedily selects a subset of bounding boxes in descending order of score,

[`NonMaxSuppressionV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NonMaxSuppressionV2): Greedily selects a subset of bounding boxes in descending order of score,

[`NonMaxSuppressionV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NonMaxSuppressionV3): Greedily selects a subset of bounding boxes in descending order of score,

[`NonMaxSuppressionV4(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NonMaxSuppressionV4): Greedily selects a subset of bounding boxes in descending order of score,

[`NonMaxSuppressionV5(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NonMaxSuppressionV5): Greedily selects a subset of bounding boxes in descending order of score,

[`NonMaxSuppressionWithOverlaps(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NonMaxSuppressionWithOverlaps): Greedily selects a subset of bounding boxes in descending order of score,

[`NonSerializableDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NonSerializableDataset)

[`NotEqual(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NotEqual): Returns the truth value of (x != y) element-wise.

[`NthElement(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/NthElement): Finds values of the `n`-th order statistic for the last dimension.

[`OneHot(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OneHot): Returns a one-hot tensor.

[`OneShotIterator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OneShotIterator): Makes a "one-shot" iterator that can be iterated only once.

[`OnesLike(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OnesLike): Returns a tensor of ones with the same shape and type as x.

[`OptimizeDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OptimizeDataset): Creates a dataset by applying optimizations to `input_dataset`.

[`OptimizeDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OptimizeDatasetV2): Creates a dataset by applying related optimizations to `input_dataset`.

[`OptionalFromValue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OptionalFromValue): Constructs an Optional variant from a tuple of tensors.

[`OptionalGetValue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OptionalGetValue): Returns the value stored in an Optional variant or raises an error if none exists.

[`OptionalHasValue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OptionalHasValue): Returns true if and only if the given Optional variant has a value.

[`OptionalNone(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OptionalNone): Creates an Optional variant with no value.

[`OptionsDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OptionsDataset): Creates a dataset by attaching tf.data.Options to `input_dataset`.

[`OrderedMapClear(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OrderedMapClear): Op removes all elements in the underlying container.

[`OrderedMapIncompleteSize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OrderedMapIncompleteSize): Op returns the number of incomplete elements in the underlying container.

[`OrderedMapPeek(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OrderedMapPeek): Op peeks at the values at the specified key.

[`OrderedMapSize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OrderedMapSize): Op returns the number of elements in the underlying container.

[`OrderedMapStage(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OrderedMapStage): Stage (key, values) in the underlying container which behaves like a ordered

[`OrderedMapUnstage(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OrderedMapUnstage): Op removes and returns the values associated with the key

[`OrderedMapUnstageNoKey(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OrderedMapUnstageNoKey): Op removes and returns the (key, value) element with the smallest

[`OutfeedDequeue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OutfeedDequeue): Retrieves a single tensor from the computation outfeed.

[`OutfeedDequeueTuple(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OutfeedDequeueTuple): Retrieve multiple values from the computation outfeed.

[`OutfeedDequeueTupleV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OutfeedDequeueTupleV2): Retrieve multiple values from the computation outfeed.

[`OutfeedDequeueV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OutfeedDequeueV2): Retrieves a single tensor from the computation outfeed.

[`OutfeedEnqueue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OutfeedEnqueue): Enqueue a Tensor on the computation outfeed.

[`OutfeedEnqueueTuple(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/OutfeedEnqueueTuple): Enqueue multiple Tensor values on the computation outfeed.

[`Pack(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Pack): Packs a list of `N` rank-`R` tensors into one rank-`(R+1)` tensor.

[`Pad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Pad): Pads a tensor with zeros.

[`PadV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PadV2): Pads a tensor.

[`PaddedBatchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PaddedBatchDataset): Creates a dataset that batches and pads `batch_size` elements from the input.

[`PaddedBatchDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PaddedBatchDatasetV2): Creates a dataset that batches and pads `batch_size` elements from the input.

[`PaddingFIFOQueue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PaddingFIFOQueue): A queue that produces elements in first-in first-out order.

[`PaddingFIFOQueueV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PaddingFIFOQueueV2): A queue that produces elements in first-in first-out order.

[`ParallelBatchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParallelBatchDataset)

[`ParallelConcat(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParallelConcat): Concatenates a list of `N` tensors along the first dimension.

[`ParallelDynamicStitch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParallelDynamicStitch): Interleave the values from the `data` tensors into a single tensor.

[`ParallelFilterDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParallelFilterDataset): Creates a dataset containing elements of `input_dataset` matching `predicate`.

[`ParallelInterleaveDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParallelInterleaveDataset): Creates a dataset that applies `f` to the outputs of `input_dataset`.

[`ParallelInterleaveDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParallelInterleaveDatasetV2): Creates a dataset that applies `f` to the outputs of `input_dataset`.

[`ParallelInterleaveDatasetV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParallelInterleaveDatasetV3): Creates a dataset that applies `f` to the outputs of `input_dataset`.

[`ParallelInterleaveDatasetV4(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParallelInterleaveDatasetV4): Creates a dataset that applies `f` to the outputs of `input_dataset`.

[`ParallelMapDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParallelMapDataset): Creates a dataset that applies `f` to the outputs of `input_dataset`.

[`ParallelMapDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParallelMapDatasetV2): Creates a dataset that applies `f` to the outputs of `input_dataset`.

[`ParameterizedTruncatedNormal(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParameterizedTruncatedNormal): Outputs random values from a normal distribution.

[`ParseExample(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParseExample): Transforms a vector of brain.Example protos (as strings) into typed tensors.

[`ParseExampleDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParseExampleDataset): Transforms `input_dataset` containing `Example` protos as vectors of DT_STRING into a dataset of `Tensor` or `SparseTensor` objects representing the parsed features.

[`ParseExampleDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParseExampleDatasetV2): Transforms `input_dataset` containing `Example` protos as vectors of DT_STRING into a dataset of `Tensor` or `SparseTensor` objects representing the parsed features.

[`ParseExampleV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParseExampleV2): Transforms a vector of tf.Example protos (as strings) into typed tensors.

[`ParseSequenceExample(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParseSequenceExample): Transforms a vector of brain.SequenceExample protos (as strings) into typed tensors.

[`ParseSequenceExampleV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParseSequenceExampleV2): Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors.

[`ParseSingleExample(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParseSingleExample): Transforms a tf.Example proto (as a string) into typed tensors.

[`ParseSingleSequenceExample(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParseSingleSequenceExample): Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.

[`ParseTensor(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ParseTensor): Transforms a serialized tensorflow.TensorProto proto into a Tensor.

[`PartitionedCall(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PartitionedCall): returns `f(inputs)`, where `f`'s body is placed and partitioned.

[`Placeholder(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Placeholder): A placeholder op for a value that will be fed into the computation.

[`PlaceholderV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PlaceholderV2): A placeholder op for a value that will be fed into the computation.

[`PlaceholderWithDefault(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PlaceholderWithDefault): A placeholder op that passes through `input` when its output is not fed.

[`Polygamma(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Polygamma): Compute the polygamma function \\(\\psi\^{(n)}(x)\\).

[`PopulationCount(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PopulationCount): Computes element-wise population count (a.k.a. popcount, bitsum, bitcount).

[`Pow(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Pow): Computes the power of one value to another.

[`PrefetchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PrefetchDataset): Creates a dataset that asynchronously prefetches elements from `input_dataset`.

[`Prelinearize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Prelinearize): An op which linearizes one Tensor value to an opaque variant tensor.

[`PrelinearizeTuple(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PrelinearizeTuple): An op which linearizes multiple Tensor values to an opaque variant tensor.

[`PreventGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PreventGradient): An identity op that triggers an error if a gradient is requested.

[`Print(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Print): Prints a list of tensors.

[`PrintV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PrintV2): Prints a string scalar.

[`PriorityQueue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PriorityQueue): A queue that produces elements sorted by the first component value.

[`PriorityQueueV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PriorityQueueV2): A queue that produces elements sorted by the first component value.

[`PrivateThreadPoolDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PrivateThreadPoolDataset): Creates a dataset that uses a custom thread pool to compute `input_dataset`.

[`Prod(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Prod): Computes the product of elements across dimensions of a tensor.

[`PyFunc(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PyFunc): Invokes a python function to compute func(input)-\>output.

[`PyFuncStateless(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/PyFuncStateless): A stateless version of PyFunc.

[`Qr(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Qr): Computes the QR decompositions of one or more matrices.

[`QuantizeAndDequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizeAndDequantize): Use QuantizeAndDequantizeV2 instead.

[`QuantizeAndDequantizeV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizeAndDequantizeV2): Quantizes then dequantizes a tensor.

[`QuantizeAndDequantizeV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizeAndDequantizeV3): Quantizes then dequantizes a tensor.

[`QuantizeAndDequantizeV4(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizeAndDequantizeV4): Quantizes then dequantizes a tensor.

[`QuantizeAndDequantizeV4Grad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizeAndDequantizeV4Grad): Returns the gradient of `QuantizeAndDequantizeV4`.

[`QuantizeDownAndShrinkRange(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizeDownAndShrinkRange): Convert the quantized 'input' tensor into a lower-precision 'output', using the

[`QuantizeV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizeV2): Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.

[`QuantizedAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedAdd): Returns x + y element-wise, working on quantized buffers.

[`QuantizedAvgPool(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedAvgPool): Produces the average pool of the input tensor for quantized types.

[`QuantizedBatchNormWithGlobalNormalization(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedBatchNormWithGlobalNormalization): Quantized Batch normalization.

[`QuantizedBiasAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedBiasAdd): Adds Tensor 'bias' to Tensor 'input' for Quantized types.

[`QuantizedConcat(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConcat): Concatenates quantized tensors along one dimension.

[`QuantizedConv2D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConv2D): Computes a 2D convolution given quantized 4D input and filter tensors.

[`QuantizedConv2DAndRelu(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConv2DAndRelu)

[`QuantizedConv2DAndReluAndRequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConv2DAndReluAndRequantize)

[`QuantizedConv2DAndRequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConv2DAndRequantize)

[`QuantizedConv2DPerChannel(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConv2DPerChannel): Computes QuantizedConv2D per channel.

[`QuantizedConv2DWithBias(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConv2DWithBias)

[`QuantizedConv2DWithBiasAndRelu(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConv2DWithBiasAndRelu)

[`QuantizedConv2DWithBiasAndReluAndRequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConv2DWithBiasAndReluAndRequantize)

[`QuantizedConv2DWithBiasAndRequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConv2DWithBiasAndRequantize)

[`QuantizedConv2DWithBiasSignedSumAndReluAndRequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConv2DWithBiasSignedSumAndReluAndRequantize)

[`QuantizedConv2DWithBiasSumAndRelu(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConv2DWithBiasSumAndRelu)

[`QuantizedConv2DWithBiasSumAndReluAndRequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedConv2DWithBiasSumAndReluAndRequantize)

[`QuantizedDepthwiseConv2D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedDepthwiseConv2D): Computes quantized depthwise Conv2D.

[`QuantizedDepthwiseConv2DWithBias(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedDepthwiseConv2DWithBias): Computes quantized depthwise Conv2D with Bias.

[`QuantizedDepthwiseConv2DWithBiasAndRelu(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedDepthwiseConv2DWithBiasAndRelu): Computes quantized depthwise Conv2D with Bias and Relu.

[`QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize): Computes quantized depthwise Conv2D with Bias, Relu and Requantize.

[`QuantizedInstanceNorm(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedInstanceNorm): Quantized Instance normalization.

[`QuantizedMatMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedMatMul): Perform a quantized matrix multiplication of `a` by the matrix `b`.

[`QuantizedMatMulWithBias(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedMatMulWithBias): Performs a quantized matrix multiplication of `a` by the matrix `b` with bias add.

[`QuantizedMatMulWithBiasAndDequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedMatMulWithBiasAndDequantize)

[`QuantizedMatMulWithBiasAndRelu(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedMatMulWithBiasAndRelu): Perform a quantized matrix multiplication of `a` by the matrix `b` with bias add and relu fusion.

[`QuantizedMatMulWithBiasAndReluAndRequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedMatMulWithBiasAndReluAndRequantize): Perform a quantized matrix multiplication of `a` by the matrix `b` with bias add and relu and requantize fusion.

[`QuantizedMatMulWithBiasAndRequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedMatMulWithBiasAndRequantize)

[`QuantizedMaxPool(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedMaxPool): Produces the max pool of the input tensor for quantized types.

[`QuantizedMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedMul): Returns x \* y element-wise, working on quantized buffers.

[`QuantizedRelu(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedRelu): Computes Quantized Rectified Linear: `max(features, 0)`

[`QuantizedRelu6(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedRelu6): Computes Quantized Rectified Linear 6: `min(max(features, 0), 6)`

[`QuantizedReluX(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedReluX): Computes Quantized Rectified Linear X: `min(max(features, 0), max_value)`

[`QuantizedReshape(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedReshape): Reshapes a quantized tensor as per the Reshape op.

[`QuantizedResizeBilinear(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QuantizedResizeBilinear): Resize quantized `images` to `size` using quantized bilinear interpolation.

[`QueueClose(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueClose): Closes the given queue.

[`QueueCloseV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueCloseV2): Closes the given queue.

[`QueueDequeue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueDequeue): Dequeues a tuple of one or more tensors from the given queue.

[`QueueDequeueMany(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueDequeueMany): Dequeues `n` tuples of one or more tensors from the given queue.

[`QueueDequeueManyV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueDequeueManyV2): Dequeues `n` tuples of one or more tensors from the given queue.

[`QueueDequeueUpTo(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueDequeueUpTo): Dequeues `n` tuples of one or more tensors from the given queue.

[`QueueDequeueUpToV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueDequeueUpToV2): Dequeues `n` tuples of one or more tensors from the given queue.

[`QueueDequeueV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueDequeueV2): Dequeues a tuple of one or more tensors from the given queue.

[`QueueEnqueue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueEnqueue): Enqueues a tuple of one or more tensors in the given queue.

[`QueueEnqueueMany(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueEnqueueMany): Enqueues zero or more tuples of one or more tensors in the given queue.

[`QueueEnqueueManyV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueEnqueueManyV2): Enqueues zero or more tuples of one or more tensors in the given queue.

[`QueueEnqueueV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueEnqueueV2): Enqueues a tuple of one or more tensors in the given queue.

[`QueueIsClosed(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueIsClosed): Returns true if queue is closed.

[`QueueIsClosedV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueIsClosedV2): Returns true if queue is closed.

[`QueueSize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueSize): Computes the number of elements in the given queue.

[`QueueSizeV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/QueueSizeV2): Computes the number of elements in the given queue.

[`RFFT(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RFFT): Real-valued fast Fourier transform.

[`RFFT2D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RFFT2D): 2D real-valued fast Fourier transform.

[`RFFT3D(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RFFT3D): 3D real-valued fast Fourier transform.

[`RGBToHSV(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RGBToHSV): Converts one or more images from RGB to HSV.

[`RaggedBincount(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RaggedBincount): Counts the number of occurrences of each value in an integer array.

[`RaggedCountSparseOutput(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RaggedCountSparseOutput): Performs sparse-output bin counting for a ragged tensor input.

[`RaggedCross(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RaggedCross): Generates a feature cross from a list of tensors, and returns it as a RaggedTensor.

[`RaggedFillEmptyRows(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RaggedFillEmptyRows)

[`RaggedFillEmptyRowsGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RaggedFillEmptyRowsGrad)

[`RaggedGather(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RaggedGather): Gather ragged slices from `params` axis `0` according to `indices`.

[`RaggedRange(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RaggedRange): Returns a `RaggedTensor` containing the specified sequences of numbers.

[`RaggedTensorFromVariant(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RaggedTensorFromVariant): Decodes a `variant` Tensor into a `RaggedTensor`.

[`RaggedTensorToSparse(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RaggedTensorToSparse): Converts a `RaggedTensor` into a `SparseTensor` with the same values.

[`RaggedTensorToTensor(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RaggedTensorToTensor): Create a dense tensor from a ragged tensor, possibly altering its shape.

[`RaggedTensorToVariant(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RaggedTensorToVariant): Encodes a `RaggedTensor` into a `variant` Tensor.

[`RaggedTensorToVariantGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RaggedTensorToVariantGradient): Helper used to compute the gradient for `RaggedTensorToVariant`.

[`RandomCrop(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomCrop): Randomly crop `image`.

[`RandomDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomDataset): Creates a Dataset that returns pseudorandom numbers.

[`RandomDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomDatasetV2): Creates a Dataset that returns pseudorandom numbers.

[`RandomGamma(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomGamma): Outputs random values from the Gamma distribution(s) described by alpha.

[`RandomGammaGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomGammaGrad): Computes the derivative of a Gamma random sample w.r.t. `alpha`.

[`RandomIndexShuffle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomIndexShuffle): Outputs the position of `value` in a permutation of \[0, ..., max_index\].

[`RandomPoisson(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomPoisson): Use RandomPoissonV2 instead.

[`RandomPoissonV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomPoissonV2): Outputs random values from the Poisson distribution(s) described by rate.

[`RandomShuffle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomShuffle): Randomly shuffles a tensor along its first dimension.

[`RandomShuffleQueue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomShuffleQueue): A queue that randomizes the order of elements.

[`RandomShuffleQueueV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomShuffleQueueV2): A queue that randomizes the order of elements.

[`RandomStandardNormal(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomStandardNormal): Outputs random values from a normal distribution.

[`RandomUniform(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomUniform): Outputs random values from a uniform distribution.

[`RandomUniformInt(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RandomUniformInt): Outputs random integers from a uniform distribution.

[`Range(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Range): Creates a sequence of numbers.

[`RangeDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RangeDataset): Creates a dataset with a range of values. Corresponds to python's xrange.

[`Rank(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Rank): Returns the rank of a tensor.

[`ReadFile(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReadFile): Reads and outputs the entire contents of the input filename.

[`ReadVariableOp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReadVariableOp): Reads the value of a variable.

[`ReadVariableXlaSplitND(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReadVariableXlaSplitND): Splits resource variable input tensor across all dimensions.

[`ReaderNumRecordsProduced(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderNumRecordsProduced): Returns the number of records this Reader has produced.

[`ReaderNumRecordsProducedV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderNumRecordsProducedV2): Returns the number of records this Reader has produced.

[`ReaderNumWorkUnitsCompleted(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderNumWorkUnitsCompleted): Returns the number of work units this Reader has finished processing.

[`ReaderNumWorkUnitsCompletedV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderNumWorkUnitsCompletedV2): Returns the number of work units this Reader has finished processing.

[`ReaderRead(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderRead): Returns the next record (key, value pair) produced by a Reader.

[`ReaderReadUpTo(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderReadUpTo): Returns up to `num_records` (key, value) pairs produced by a Reader.

[`ReaderReadUpToV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderReadUpToV2): Returns up to `num_records` (key, value) pairs produced by a Reader.

[`ReaderReadV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderReadV2): Returns the next record (key, value pair) produced by a Reader.

[`ReaderReset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderReset): Restore a Reader to its initial clean state.

[`ReaderResetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderResetV2): Restore a Reader to its initial clean state.

[`ReaderRestoreState(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderRestoreState): Restore a reader to a previously saved state.

[`ReaderRestoreStateV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderRestoreStateV2): Restore a reader to a previously saved state.

[`ReaderSerializeState(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderSerializeState): Produce a string tensor that encodes the state of a Reader.

[`ReaderSerializeStateV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReaderSerializeStateV2): Produce a string tensor that encodes the state of a Reader.

[`Real(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Real): Returns the real part of a complex number.

[`RealDiv(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RealDiv): Returns x / y element-wise for real types.

[`RebatchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RebatchDataset): Creates a dataset that changes the batch size.

[`RebatchDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RebatchDatasetV2): Creates a dataset that changes the batch size.

[`Reciprocal(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Reciprocal): Computes the reciprocal of x element-wise.

[`ReciprocalGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReciprocalGrad): Computes the gradient for the inverse of `x` wrt its input.

[`RecordInput(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RecordInput): Emits randomized records.

[`Recv(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Recv): Receives the named tensor from send_device on recv_device.

[`RecvTPUEmbeddingActivations(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RecvTPUEmbeddingActivations): An op that receives embedding activations on the TPU.

[`ReduceDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReduceDataset): Reduces the input dataset to a singleton using a reduce function.

[`ReduceJoin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReduceJoin): Joins a string Tensor across the given dimensions.

[`RefEnter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RefEnter): Creates or finds a child frame, and makes `data` available to the child frame.

[`RefExit(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RefExit): Exits the current frame to its parent frame.

[`RefIdentity(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RefIdentity): Return the same ref tensor as the input ref tensor.

[`RefMerge(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RefMerge): Forwards the value of an available tensor from `inputs` to `output`.

[`RefNextIteration(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RefNextIteration): Makes its input available to the next iteration.

[`RefSelect(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RefSelect): Forwards the `index`th element of `inputs` to `output`.

[`RefSwitch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RefSwitch): Forwards the ref tensor `data` to the output port determined by `pred`.

[`RegexFullMatch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RegexFullMatch): Check if the input matches the regex pattern.

[`RegexReplace(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RegexReplace): Replaces matches of the `pattern` regular expression in `input` with the replacement string provided in `rewrite`.

[`RegisterDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RegisterDataset): Registers a dataset with the tf.data service.

[`RegisterDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RegisterDatasetV2): Registers a dataset with the tf.data service.

[`Relu(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Relu): Computes rectified linear: `max(features, 0)`.

[`Relu6(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Relu6): Computes rectified linear 6: `min(max(features, 0), 6)`.

[`Relu6Grad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Relu6Grad): Computes rectified linear 6 gradients for a Relu6 operation.

[`ReluGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReluGrad): Computes rectified linear gradients for a Relu operation.

[`RemoteCall(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RemoteCall): Runs function `f` on a remote device indicated by `target`.

[`RepeatDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RepeatDataset): Creates a dataset that emits the outputs of `input_dataset` `count` times.

[`RequantizationRange(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RequantizationRange): Computes a range that covers the actual values present in a quantized tensor.

[`RequantizationRangePerChannel(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RequantizationRangePerChannel): Computes requantization range per channel.

[`Requantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Requantize): Converts the quantized `input` tensor into a lower-precision `output`.

[`RequantizePerChannel(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RequantizePerChannel): Requantizes input with min and max values known per channel.

[`Reshape(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Reshape): Reshapes a tensor.

[`ResizeArea(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResizeArea): Resize `images` to `size` using area interpolation.

[`ResizeBicubic(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResizeBicubic): Resize `images` to `size` using bicubic interpolation.

[`ResizeBicubicGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResizeBicubicGrad): Computes the gradient of bicubic interpolation.

[`ResizeBilinear(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResizeBilinear): Resize `images` to `size` using bilinear interpolation.

[`ResizeBilinearGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResizeBilinearGrad): Computes the gradient of bilinear interpolation.

[`ResizeNearestNeighbor(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResizeNearestNeighbor): Resize `images` to `size` using nearest neighbor interpolation.

[`ResizeNearestNeighborGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResizeNearestNeighborGrad): Computes the gradient of nearest neighbor interpolation.

[`ResourceAccumulatorApplyGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceAccumulatorApplyGradient): Applies a gradient to a given accumulator.

[`ResourceAccumulatorNumAccumulated(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceAccumulatorNumAccumulated): Returns the number of gradients aggregated in the given accumulators.

[`ResourceAccumulatorSetGlobalStep(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceAccumulatorSetGlobalStep): Updates the accumulator with a new value for global_step.

[`ResourceAccumulatorTakeGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceAccumulatorTakeGradient): Extracts the average gradient in the given ConditionalAccumulator.

[`ResourceApplyAdaMax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyAdaMax): Update '\*var' according to the AdaMax algorithm.

[`ResourceApplyAdadelta(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyAdadelta): Update '\*var' according to the adadelta scheme.

[`ResourceApplyAdagrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyAdagrad): Update '\*var' according to the adagrad scheme.

[`ResourceApplyAdagradDA(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyAdagradDA): Update '\*var' according to the proximal adagrad scheme.

[`ResourceApplyAdagradV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyAdagradV2): Update '\*var' according to the adagrad scheme.

[`ResourceApplyAdam(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyAdam): Update '\*var' according to the Adam algorithm.

[`ResourceApplyAdamWithAmsgrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyAdamWithAmsgrad): Update '\*var' according to the Adam algorithm.

[`ResourceApplyAddSign(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyAddSign): Update '\*var' according to the AddSign update.

[`ResourceApplyCenteredRMSProp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyCenteredRMSProp): Update '\*var' according to the centered RMSProp algorithm.

[`ResourceApplyFtrl(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyFtrl): Update '\*var' according to the Ftrl-proximal scheme.

[`ResourceApplyFtrlV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyFtrlV2): Update '\*var' according to the Ftrl-proximal scheme.

[`ResourceApplyGradientDescent(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyGradientDescent): Update '\*var' by subtracting 'alpha' \* 'delta' from it.

[`ResourceApplyKerasMomentum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyKerasMomentum): Update '\*var' according to the momentum scheme.

[`ResourceApplyMomentum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyMomentum): Update '\*var' according to the momentum scheme.

[`ResourceApplyPowerSign(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyPowerSign): Update '\*var' according to the AddSign update.

[`ResourceApplyProximalAdagrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyProximalAdagrad): Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.

[`ResourceApplyProximalGradientDescent(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyProximalGradientDescent): Update '\*var' as FOBOS algorithm with fixed learning rate.

[`ResourceApplyRMSProp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceApplyRMSProp): Update '\*var' according to the RMSProp algorithm.

[`ResourceConditionalAccumulator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceConditionalAccumulator): A conditional accumulator for aggregating gradients.

[`ResourceCountUpTo(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceCountUpTo): Increments variable pointed to by 'resource' until it reaches 'limit'.

[`ResourceGather(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceGather): Gather slices from the variable pointed to by `resource` according to `indices`.

[`ResourceGatherNd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceGatherNd)

[`ResourceScatterAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceScatterAdd): Adds sparse updates to the variable referenced by `resource`.

[`ResourceScatterDiv(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceScatterDiv): Divides sparse updates into the variable referenced by `resource`.

[`ResourceScatterMax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceScatterMax): Reduces sparse updates into the variable referenced by `resource` using the `max` operation.

[`ResourceScatterMin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceScatterMin): Reduces sparse updates into the variable referenced by `resource` using the `min` operation.

[`ResourceScatterMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceScatterMul): Multiplies sparse updates into the variable referenced by `resource`.

[`ResourceScatterNdAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceScatterNdAdd): Applies sparse addition to individual values or slices in a Variable.

[`ResourceScatterNdMax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceScatterNdMax)

[`ResourceScatterNdMin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceScatterNdMin)

[`ResourceScatterNdSub(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceScatterNdSub): Applies sparse subtraction to individual values or slices in a Variable.

[`ResourceScatterNdUpdate(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceScatterNdUpdate): Applies sparse `updates` to individual values or slices within a given

[`ResourceScatterSub(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceScatterSub): Subtracts sparse updates from the variable referenced by `resource`.

[`ResourceScatterUpdate(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceScatterUpdate): Assigns sparse updates to the variable referenced by `resource`.

[`ResourceSparseApplyAdadelta(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceSparseApplyAdadelta): var: Should be from a Variable().

[`ResourceSparseApplyAdagrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceSparseApplyAdagrad): Update relevant entries in '*var' and '*accum' according to the adagrad scheme.

[`ResourceSparseApplyAdagradDA(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceSparseApplyAdagradDA): Update entries in '*var' and '*accum' according to the proximal adagrad scheme.

[`ResourceSparseApplyAdagradV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceSparseApplyAdagradV2): Update relevant entries in '*var' and '*accum' according to the adagrad scheme.

[`ResourceSparseApplyCenteredRMSProp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceSparseApplyCenteredRMSProp): Update '\*var' according to the centered RMSProp algorithm.

[`ResourceSparseApplyFtrl(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceSparseApplyFtrl): Update relevant entries in '\*var' according to the Ftrl-proximal scheme.

[`ResourceSparseApplyFtrlV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceSparseApplyFtrlV2): Update relevant entries in '\*var' according to the Ftrl-proximal scheme.

[`ResourceSparseApplyKerasMomentum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceSparseApplyKerasMomentum): Update relevant entries in '*var' and '*accum' according to the momentum scheme.

[`ResourceSparseApplyMomentum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceSparseApplyMomentum): Update relevant entries in '*var' and '*accum' according to the momentum scheme.

[`ResourceSparseApplyProximalAdagrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceSparseApplyProximalAdagrad): Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.

[`ResourceSparseApplyProximalGradientDescent(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceSparseApplyProximalGradientDescent): Sparse update '\*var' as FOBOS algorithm with fixed learning rate.

[`ResourceSparseApplyRMSProp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceSparseApplyRMSProp): Update '\*var' according to the RMSProp algorithm.

[`ResourceStridedSliceAssign(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ResourceStridedSliceAssign): Assign `value` to the sliced l-value reference of `ref`.

[`Restore(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Restore): Restores a tensor from checkpoint files.

[`RestoreSlice(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RestoreSlice): Restores a tensor from checkpoint files.

[`RestoreV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RestoreV2): Restores tensors from a V2 checkpoint.

[`RetrieveTPUEmbeddingADAMParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingADAMParameters): Retrieve ADAM embedding parameters.

[`RetrieveTPUEmbeddingAdadeltaParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingAdadeltaParameters): Retrieve Adadelta embedding parameters.

[`RetrieveTPUEmbeddingAdagradMomentumParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingAdagradMomentumParameters): Retrieve Adagrad Momentum embedding parameters.

[`RetrieveTPUEmbeddingAdagradParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingAdagradParameters): Retrieve Adagrad embedding parameters.

[`RetrieveTPUEmbeddingCenteredRMSPropParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingCenteredRMSPropParameters): Retrieve centered RMSProp embedding parameters.

[`RetrieveTPUEmbeddingFTRLParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingFTRLParameters): Retrieve FTRL embedding parameters.

[`RetrieveTPUEmbeddingFrequencyEstimatorParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingFrequencyEstimatorParameters): Retrieve frequency estimator embedding parameters.

[`RetrieveTPUEmbeddingMDLAdagradLightParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingMDLAdagradLightParameters): Retrieve MDL Adagrad Light embedding parameters.

[`RetrieveTPUEmbeddingMomentumParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingMomentumParameters): Retrieve Momentum embedding parameters.

[`RetrieveTPUEmbeddingProximalAdagradParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingProximalAdagradParameters): Retrieve proximal Adagrad embedding parameters.

[`RetrieveTPUEmbeddingProximalYogiParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingProximalYogiParameters)

[`RetrieveTPUEmbeddingRMSPropParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingRMSPropParameters): Retrieve RMSProp embedding parameters.

[`RetrieveTPUEmbeddingStochasticGradientDescentParameters(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingStochasticGradientDescentParameters): Retrieve SGD embedding parameters.

[`Reverse(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Reverse): Reverses specific dimensions of a tensor.

[`ReverseSequence(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReverseSequence): Reverses variable length slices.

[`ReverseV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ReverseV2): Reverses specific dimensions of a tensor.

[`RewriteDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RewriteDataset)

[`RightShift(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RightShift): Elementwise computes the bitwise right-shift of `x` and `y`.

[`Rint(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Rint): Returns element-wise integer closest to x.

[`RngReadAndSkip(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RngReadAndSkip): Advance the counter of a counter-based RNG.

[`RngSkip(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RngSkip): Advance the counter of a counter-based RNG.

[`Roll(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Roll): Rolls the elements of a tensor along an axis.

[`Round(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Round): Rounds the values of a tensor to the nearest integer, element-wise.

[`Rsqrt(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Rsqrt): Computes reciprocal of square root of x element-wise.

[`RsqrtGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/RsqrtGrad): Computes the gradient for the rsqrt of `x` wrt its input.

[`SampleDistortedBoundingBox(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SampleDistortedBoundingBox): Generate a single randomly distorted bounding box for an image.

[`SampleDistortedBoundingBoxV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SampleDistortedBoundingBoxV2): Generate a single randomly distorted bounding box for an image.

[`SamplingDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SamplingDataset): Creates a dataset that takes a Bernoulli sample of the contents of another dataset.

[`Save(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Save): Saves the input tensors to disk.

[`SaveDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SaveDataset)

[`SaveDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SaveDatasetV2)

[`SaveSlices(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SaveSlices): Saves input tensors slices to disk.

[`SaveV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SaveV2): Saves tensors in V2 checkpoint format.

[`ScalarSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScalarSummary): Outputs a `Summary` protocol buffer with scalar values.

[`ScaleAndTranslate(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScaleAndTranslate)

[`ScaleAndTranslateGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScaleAndTranslateGrad)

[`ScanDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScanDataset): Creates a dataset successively reduces `f` over the elements of `input_dataset`.

[`ScatterAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterAdd): Adds sparse updates to a variable reference.

[`ScatterDiv(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterDiv): Divides a variable reference by sparse updates.

[`ScatterMax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterMax): Reduces sparse updates into a variable reference using the `max` operation.

[`ScatterMin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterMin): Reduces sparse updates into a variable reference using the `min` operation.

[`ScatterMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterMul): Multiplies sparse updates into a variable reference.

[`ScatterNd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterNd): Scatters `updates` into a tensor of shape `shape` according to `indices`.

[`ScatterNdAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterNdAdd): Applies sparse addition to individual values or slices in a Variable.

[`ScatterNdMax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterNdMax): Computes element-wise maximum.

[`ScatterNdMin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterNdMin): Computes element-wise minimum.

[`ScatterNdNonAliasingAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterNdNonAliasingAdd): Applies sparse addition to `input` using individual values or slices

[`ScatterNdSub(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterNdSub): Applies sparse subtraction to individual values or slices in a Variable.

[`ScatterNdUpdate(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterNdUpdate): Applies sparse `updates` to individual values or slices within a given

[`ScatterSub(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterSub): Subtracts sparse updates to a variable reference.

[`ScatterUpdate(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ScatterUpdate): Applies sparse updates to a variable reference.

[`SdcaFprint(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SdcaFprint): Computes fingerprints of the input strings.

[`SdcaOptimizer(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SdcaOptimizer): Distributed version of Stochastic Dual Coordinate Ascent (SDCA) optimizer for

[`SdcaOptimizerV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SdcaOptimizerV2): Distributed version of Stochastic Dual Coordinate Ascent (SDCA) optimizer for

[`SdcaShrinkL1(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SdcaShrinkL1): Applies L1 regularization shrink step on the parameters.

[`SegmentMax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SegmentMax): Computes the maximum along segments of a tensor.

[`SegmentMaxV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SegmentMaxV2): Computes the maximum along segments of a tensor.

[`SegmentMean(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SegmentMean): Computes the mean along segments of a tensor.

[`SegmentMin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SegmentMin): Computes the minimum along segments of a tensor.

[`SegmentMinV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SegmentMinV2): Computes the minimum along segments of a tensor.

[`SegmentProd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SegmentProd): Computes the product along segments of a tensor.

[`SegmentProdV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SegmentProdV2): Computes the product along segments of a tensor.

[`SegmentSum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SegmentSum): Computes the sum along segments of a tensor.

[`SegmentSumV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SegmentSumV2): Computes the sum along segments of a tensor.

[`Select(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Select): Selects elements from `x` or `y`, depending on `condition`.

[`SelectV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SelectV2)

[`SelfAdjointEig(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SelfAdjointEig): Computes the Eigen Decomposition of a batch of square self-adjoint matrices.

[`SelfAdjointEigV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SelfAdjointEigV2): Computes the eigen decomposition of one or more square self-adjoint matrices.

[`Selu(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Selu): Computes scaled exponential linear: `scale * alpha * (exp(features) - 1)`

[`SeluGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SeluGrad): Computes gradients for the scaled exponential linear (Selu) operation.

[`Send(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Send): Sends the named tensor from send_device to recv_device.

[`SendTPUEmbeddingGradients(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SendTPUEmbeddingGradients): Performs gradient updates of embedding tables.

[`SerializeIterator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SerializeIterator): Converts the given `resource_handle` representing an iterator to a variant tensor.

[`SerializeManySparse(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SerializeManySparse): Serialize an `N`-minibatch `SparseTensor` into an `[N, 3]` `Tensor` object.

[`SerializeSparse(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SerializeSparse): Serialize a `SparseTensor` into a `[3]` `Tensor` object.

[`SerializeTensor(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SerializeTensor): Transforms a Tensor into a serialized TensorProto proto.

[`SetSize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SetSize): Number of unique elements along last dimension of input `set`.

[`SetStatsAggregatorDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SetStatsAggregatorDataset)

[`Shape(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Shape): Returns the shape of a tensor.

[`ShapeN(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ShapeN): Returns shape of tensors.

[`ShardDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ShardDataset): Creates a `Dataset` that includes only 1/`num_shards` of this dataset.

[`ShardedFilename(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ShardedFilename): Generate a sharded filename.

[`ShardedFilespec(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ShardedFilespec): Generate a glob pattern matching all sharded file names.

[`ShuffleAndRepeatDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ShuffleAndRepeatDataset): Creates a dataset that shuffles and repeats elements from `input_dataset`

[`ShuffleAndRepeatDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ShuffleAndRepeatDatasetV2)

[`ShuffleDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ShuffleDataset): Creates a dataset that shuffles elements from `input_dataset` pseudorandomly.

[`ShuffleDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ShuffleDatasetV2)

[`ShuffleDatasetV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ShuffleDatasetV3)

[`ShutdownDistributedTPU(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ShutdownDistributedTPU): Shuts down a running distributed TPU system.

[`Sigmoid(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Sigmoid): Computes sigmoid of `x` element-wise.

[`SigmoidGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SigmoidGrad): Computes the gradient of the sigmoid of `x` wrt its input.

[`Sign(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Sign): Returns an element-wise indication of the sign of a number.

[`Sin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Sin): Computes sine of x element-wise.

[`Sinh(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Sinh): Computes hyperbolic sine of x element-wise.

[`Size(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Size): Returns the size of a tensor.

[`SkipDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SkipDataset): Creates a dataset that skips `count` elements from the `input_dataset`.

[`SleepDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SleepDataset)

[`Slice(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Slice): Return a slice from 'input'.

[`SlidingWindowDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SlidingWindowDataset): Creates a dataset that passes a sliding window over `input_dataset`.

[`Snapshot(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Snapshot): Returns a copy of the input tensor.

[`SnapshotChunkDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SnapshotChunkDataset)

[`SnapshotDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SnapshotDataset): Creates a dataset that will write to / read from a snapshot.

[`SnapshotDatasetReader(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SnapshotDatasetReader)

[`SnapshotDatasetV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SnapshotDatasetV2): Creates a dataset that will write to / read from a snapshot.

[`SnapshotNestedDatasetReader(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SnapshotNestedDatasetReader)

[`SobolSample(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SobolSample): Generates points from the Sobol sequence.

[`Softmax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Softmax): Computes softmax activations.

[`SoftmaxCrossEntropyWithLogits(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SoftmaxCrossEntropyWithLogits): Computes softmax cross entropy cost and gradients to backpropagate.

[`Softplus(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Softplus)

[`SoftplusGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SoftplusGrad): Computes softplus gradients for a softplus operation.

[`Softsign(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Softsign): Computes softsign: `features / (abs(features) + 1)`.

[`SoftsignGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SoftsignGrad): Computes softsign gradients for a softsign operation.

[`SpaceToBatch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SpaceToBatch): SpaceToBatch for 4-D tensors of type T.

[`SpaceToBatchND(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SpaceToBatchND): SpaceToBatch for N-D tensors of type T.

[`SpaceToDepth(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SpaceToDepth): SpaceToDepth for tensors of type T.

[`SparseAccumulatorApplyGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseAccumulatorApplyGradient): Applies a sparse gradient to a given accumulator.

[`SparseAccumulatorTakeGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseAccumulatorTakeGradient): Extracts the average sparse gradient in a SparseConditionalAccumulator.

[`SparseAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseAdd): Adds two `SparseTensor` objects to produce another `SparseTensor`.

[`SparseAddGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseAddGrad): The gradient operator for the SparseAdd op.

[`SparseApplyAdadelta(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseApplyAdadelta): var: Should be from a Variable().

[`SparseApplyAdagrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseApplyAdagrad): Update relevant entries in '*var' and '*accum' according to the adagrad scheme.

[`SparseApplyAdagradDA(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseApplyAdagradDA): Update entries in '*var' and '*accum' according to the proximal adagrad scheme.

[`SparseApplyAdagradV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseApplyAdagradV2): Update relevant entries in '*var' and '*accum' according to the adagrad scheme.

[`SparseApplyCenteredRMSProp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseApplyCenteredRMSProp): Update '\*var' according to the centered RMSProp algorithm.

[`SparseApplyFtrl(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseApplyFtrl): Update relevant entries in '\*var' according to the Ftrl-proximal scheme.

[`SparseApplyFtrlV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseApplyFtrlV2): Update relevant entries in '\*var' according to the Ftrl-proximal scheme.

[`SparseApplyMomentum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseApplyMomentum): Update relevant entries in '*var' and '*accum' according to the momentum scheme.

[`SparseApplyProximalAdagrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseApplyProximalAdagrad): Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.

[`SparseApplyProximalGradientDescent(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseApplyProximalGradientDescent): Sparse update '\*var' as FOBOS algorithm with fixed learning rate.

[`SparseApplyRMSProp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseApplyRMSProp): Update '\*var' according to the RMSProp algorithm.

[`SparseBincount(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseBincount): Counts the number of occurrences of each value in an integer array.

[`SparseConcat(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseConcat): Concatenates a list of `SparseTensor` along the specified dimension.

[`SparseConditionalAccumulator(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseConditionalAccumulator): A conditional accumulator for aggregating sparse gradients.

[`SparseCountSparseOutput(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseCountSparseOutput): Performs sparse-output bin counting for a sparse tensor input.

[`SparseCross(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseCross): Generates sparse cross from a list of sparse and dense tensors.

[`SparseCrossHashed(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseCrossHashed): Generates sparse cross from a list of sparse and dense tensors.

[`SparseCrossV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseCrossV2): Generates sparse cross from a list of sparse and dense tensors.

[`SparseDenseCwiseAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseDenseCwiseAdd): Adds up a SparseTensor and a dense Tensor, using these special rules:

[`SparseDenseCwiseDiv(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseDenseCwiseDiv): Component-wise divides a SparseTensor by a dense Tensor.

[`SparseDenseCwiseMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseDenseCwiseMul): Component-wise multiplies a SparseTensor by a dense Tensor.

[`SparseFillEmptyRows(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseFillEmptyRows): Fills empty rows in the input 2-D `SparseTensor` with a default value.

[`SparseFillEmptyRowsGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseFillEmptyRowsGrad): The gradient of SparseFillEmptyRows.

[`SparseMatMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseMatMul): Multiply matrix "a" by matrix "b".

[`SparseMatrixAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseMatrixAdd): Sparse addition of two CSR matrices, C = alpha \* A + beta \* B.

[`SparseMatrixMatMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseMatrixMatMul): Matrix-multiplies a sparse matrix with a dense matrix.

[`SparseMatrixMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseMatrixMul): Element-wise multiplication of a sparse matrix with a dense tensor.

[`SparseMatrixNNZ(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseMatrixNNZ): Returns the number of nonzeroes of `sparse_matrix`.

[`SparseMatrixOrderingAMD(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseMatrixOrderingAMD): Computes the Approximate Minimum Degree (AMD) ordering of `input`.

[`SparseMatrixSoftmax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseMatrixSoftmax): Calculates the softmax of a CSRSparseMatrix.

[`SparseMatrixSoftmaxGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseMatrixSoftmaxGrad): Calculates the gradient of the SparseMatrixSoftmax op.

[`SparseMatrixSparseCholesky(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseMatrixSparseCholesky): Computes the sparse Cholesky decomposition of `input`.

[`SparseMatrixSparseMatMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseMatrixSparseMatMul): Sparse-matrix-multiplies two CSR matrices `a` and `b`.

[`SparseMatrixTranspose(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseMatrixTranspose): Transposes the inner (matrix) dimensions of a CSRSparseMatrix.

[`SparseMatrixZeros(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseMatrixZeros): Creates an all-zeros CSRSparseMatrix with shape `dense_shape`.

[`SparseReduceMax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseReduceMax): Computes the max of elements across dimensions of a SparseTensor.

[`SparseReduceMaxSparse(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseReduceMaxSparse): Computes the max of elements across dimensions of a SparseTensor.

[`SparseReduceSum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseReduceSum): Computes the sum of elements across dimensions of a SparseTensor.

[`SparseReduceSumSparse(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseReduceSumSparse): Computes the sum of elements across dimensions of a SparseTensor.

[`SparseReorder(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseReorder): Reorders a SparseTensor into the canonical, row-major ordering.

[`SparseReshape(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseReshape): Reshapes a SparseTensor to represent values in a new dense shape.

[`SparseSegmentMean(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSegmentMean): Computes the mean along sparse segments of a tensor.

[`SparseSegmentMeanGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSegmentMeanGrad): Computes gradients for SparseSegmentMean.

[`SparseSegmentMeanWithNumSegments(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSegmentMeanWithNumSegments): Computes the mean along sparse segments of a tensor.

[`SparseSegmentSqrtN(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSegmentSqrtN): Computes the sum along sparse segments of a tensor divided by the sqrt of N.

[`SparseSegmentSqrtNGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSegmentSqrtNGrad): Computes gradients for SparseSegmentSqrtN.

[`SparseSegmentSqrtNWithNumSegments(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSegmentSqrtNWithNumSegments): Computes the sum along sparse segments of a tensor divided by the sqrt of N.

[`SparseSegmentSum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSegmentSum): Computes the sum along sparse segments of a tensor.

[`SparseSegmentSumGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSegmentSumGrad): Computes gradients for SparseSegmentSum.

[`SparseSegmentSumWithNumSegments(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSegmentSumWithNumSegments): Computes the sum along sparse segments of a tensor.

[`SparseSlice(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSlice): Slice a `SparseTensor` based on the `start` and `size`.

[`SparseSliceGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSliceGrad): The gradient operator for the SparseSlice op.

[`SparseSoftmax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSoftmax): Applies softmax to a batched N-D `SparseTensor`.

[`SparseSoftmaxCrossEntropyWithLogits(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSoftmaxCrossEntropyWithLogits): Computes softmax cross entropy cost and gradients to backpropagate.

[`SparseSparseMaximum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSparseMaximum): Returns the element-wise max of two SparseTensors.

[`SparseSparseMinimum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSparseMinimum): Returns the element-wise min of two SparseTensors.

[`SparseSplit(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseSplit): Split a `SparseTensor` into `num_split` tensors along one dimension.

[`SparseTensorDenseAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseTensorDenseAdd): Adds up a `SparseTensor` and a dense `Tensor`, producing a dense `Tensor`.

[`SparseTensorDenseMatMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseTensorDenseMatMul): Multiply SparseTensor (of rank 2) "A" by dense matrix "B".

[`SparseTensorSliceDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseTensorSliceDataset): Creates a dataset that splits a SparseTensor into elements row-wise.

[`SparseTensorToCSRSparseMatrix(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseTensorToCSRSparseMatrix): Converts a SparseTensor to a (possibly batched) CSRSparseMatrix.

[`SparseToDense(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseToDense): Converts a sparse representation into a dense tensor.

[`SparseToSparseSetOperation(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SparseToSparseSetOperation): Applies set operation along last dimension of 2 `SparseTensor` inputs.

[`Spence(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Spence)

[`Split(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Split): Splits a tensor into `num_split` tensors along one dimension.

[`SplitV(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SplitV): Splits a tensor into `num_split` tensors along one dimension.

[`SqlDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SqlDataset): Creates a dataset that executes a SQL query and emits rows of the result set.

[`Sqrt(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Sqrt): Computes square root of x element-wise.

[`SqrtGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SqrtGrad): Computes the gradient for the sqrt of `x` wrt its input.

[`Square(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Square): Computes square of x element-wise.

[`SquaredDifference(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SquaredDifference): Returns conj(x - y)(x - y) element-wise.

[`Squeeze(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Squeeze): Removes dimensions of size 1 from the shape of a tensor.

[`Stack(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Stack): Deprecated, use StackV2.

[`StackClose(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StackClose): Deprecated, use StackCloseV2.

[`StackCloseV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StackCloseV2): Delete the stack from its resource container.

[`StackPop(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StackPop): Deprecated, use StackPopV2.

[`StackPopV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StackPopV2): Pop the element at the top of the stack.

[`StackPush(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StackPush): Deprecated, use StackPushV2.

[`StackPushV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StackPushV2): Push an element onto the stack.

[`StackV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StackV2): A stack that produces elements in first-in last-out order.

[`Stage(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Stage): Stage values similar to a lightweight Enqueue.

[`StageClear(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StageClear): Op removes all elements in the underlying container.

[`StagePeek(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StagePeek): Op peeks at the values at the specified index.

[`StageSize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StageSize): Op returns the number of elements in the underlying container.

[`StatefulPartitionedCall(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatefulPartitionedCall): returns `f(inputs)`, where `f`'s body is placed and partitioned.

[`StatefulRandomBinomial(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatefulRandomBinomial)

[`StatefulStandardNormal(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatefulStandardNormal): Outputs random values from a normal distribution.

[`StatefulStandardNormalV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatefulStandardNormalV2): Outputs random values from a normal distribution.

[`StatefulTruncatedNormal(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatefulTruncatedNormal): Outputs random values from a truncated normal distribution.

[`StatefulUniform(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatefulUniform): Outputs random values from a uniform distribution.

[`StatefulUniformFullInt(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatefulUniformFullInt): Outputs random integers from a uniform distribution.

[`StatefulUniformInt(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatefulUniformInt): Outputs random integers from a uniform distribution.

[`StatelessCase(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessCase): An n-way switch statement which calls a single branch function.

[`StatelessIf(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessIf): output = cond ? then_branch(input) : else_branch(input)

[`StatelessMultinomial(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessMultinomial): Draws samples from a multinomial distribution.

[`StatelessParameterizedTruncatedNormal(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessParameterizedTruncatedNormal)

[`StatelessRandomBinomial(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomBinomial): Outputs deterministic pseudorandom random numbers from a binomial distribution.

[`StatelessRandomGammaV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomGammaV2): Outputs deterministic pseudorandom random numbers from a gamma distribution.

[`StatelessRandomGammaV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomGammaV3): Outputs deterministic pseudorandom random numbers from a gamma distribution.

[`StatelessRandomGetAlg(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomGetAlg): Picks the best counter-based RNG algorithm based on device.

[`StatelessRandomGetKeyCounter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomGetKeyCounter): Scrambles seed into key and counter, using the best algorithm based on device.

[`StatelessRandomGetKeyCounterAlg(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomGetKeyCounterAlg): Picks the best algorithm based on device, and scrambles seed into key and counter.

[`StatelessRandomNormal(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomNormal): Outputs deterministic pseudorandom values from a normal distribution.

[`StatelessRandomNormalV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomNormalV2): Outputs deterministic pseudorandom values from a normal distribution.

[`StatelessRandomPoisson(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomPoisson): Outputs deterministic pseudorandom random numbers from a Poisson distribution.

[`StatelessRandomUniform(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomUniform): Outputs deterministic pseudorandom random values from a uniform distribution.

[`StatelessRandomUniformFullInt(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomUniformFullInt): Outputs deterministic pseudorandom random integers from a uniform distribution.

[`StatelessRandomUniformFullIntV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomUniformFullIntV2): Outputs deterministic pseudorandom random integers from a uniform distribution.

[`StatelessRandomUniformInt(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomUniformInt): Outputs deterministic pseudorandom random integers from a uniform distribution.

[`StatelessRandomUniformIntV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomUniformIntV2): Outputs deterministic pseudorandom random integers from a uniform distribution.

[`StatelessRandomUniformV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessRandomUniformV2): Outputs deterministic pseudorandom random values from a uniform distribution.

[`StatelessSampleDistortedBoundingBox(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessSampleDistortedBoundingBox): Generate a randomly distorted bounding box for an image deterministically.

[`StatelessShuffle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessShuffle): Randomly and deterministically shuffles a tensor along its first dimension.

[`StatelessTruncatedNormal(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessTruncatedNormal): Outputs deterministic pseudorandom values from a truncated normal distribution.

[`StatelessTruncatedNormalV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessTruncatedNormalV2): Outputs deterministic pseudorandom values from a truncated normal distribution.

[`StatelessWhile(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatelessWhile): output = input; While (Cond(output)) { output = Body(output) }

[`StaticRegexFullMatch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StaticRegexFullMatch): Check if the input matches the regex pattern.

[`StaticRegexReplace(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StaticRegexReplace): Replaces the match of pattern in input with rewrite.

[`StatsAggregatorHandle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatsAggregatorHandle): Creates a statistics manager resource.

[`StatsAggregatorHandleV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatsAggregatorHandleV2)

[`StatsAggregatorSetSummaryWriter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatsAggregatorSetSummaryWriter): Set a summary_writer_interface to record statistics using given stats_aggregator.

[`StatsAggregatorSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StatsAggregatorSummary): Produces a summary of any statistics recorded by the given statistics manager.

[`StopGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StopGradient): Stops gradient computation.

[`StridedSlice(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StridedSlice): Return a strided slice from `input`.

[`StridedSliceAssign(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StridedSliceAssign): Assign `value` to the sliced l-value reference of `ref`.

[`StridedSliceGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StridedSliceGrad): Returns the gradient of `StridedSlice`.

[`StringFormat(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringFormat): Formats a string template using a list of tensors.

[`StringJoin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringJoin): Joins the strings in the given list of string tensors into one tensor;

[`StringLength(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringLength): String lengths of `input`.

[`StringLower(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringLower): Converts all uppercase characters into their respective lowercase replacements.

[`StringNGrams(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringNGrams): Creates ngrams from ragged string data.

[`StringSplit(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringSplit): Split elements of `input` based on `delimiter` into a `SparseTensor`.

[`StringSplitV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringSplitV2): Split elements of `source` based on `sep` into a `SparseTensor`.

[`StringStrip(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringStrip): Strip leading and trailing whitespaces from the Tensor.

[`StringToHashBucket(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringToHashBucket): Converts each string in the input Tensor to its hash mod by a number of buckets.

[`StringToHashBucketFast(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringToHashBucketFast): Converts each string in the input Tensor to its hash mod by a number of buckets.

[`StringToHashBucketStrong(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringToHashBucketStrong): Converts each string in the input Tensor to its hash mod by a number of buckets.

[`StringToNumber(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringToNumber): Converts each string in the input Tensor to the specified numeric type.

[`StringUpper(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/StringUpper): Converts all lowercase characters into their respective uppercase replacements.

[`Sub(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Sub): Returns x - y element-wise.

[`Substr(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Substr): Return substrings from `Tensor` of strings.

[`Sum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Sum): Computes the sum of elements across dimensions of a tensor.

[`SummaryWriter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SummaryWriter)

[`Svd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Svd): Computes the singular value decompositions of one or more matrices.

[`Switch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Switch): Forwards `data` to the output port determined by `pred`.

[`SymbolicGradient(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SymbolicGradient): Computes the gradient function for function f via backpropagation.

[`SyncDevice(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/SyncDevice): Synchronizes the device this op is run on.

[`TFRecordDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TFRecordDataset): Creates a dataset that emits the records from one or more TFRecord files.

[`TFRecordReader(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TFRecordReader): A Reader that outputs the records from a TensorFlow Records file.

[`TFRecordReaderV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TFRecordReaderV2): A Reader that outputs the records from a TensorFlow Records file.

[`TPUCompilationResult(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TPUCompilationResult): Returns the result of a TPU compilation.

[`TPUEmbeddingActivations(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TPUEmbeddingActivations): An op enabling differentiation of TPU Embeddings.

[`TPUOrdinalSelector(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TPUOrdinalSelector): A TPU core selector Op.

[`TPUPartitionedCall(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TPUPartitionedCall): Calls a function placed on a specified TPU device.

[`TPUPartitionedInput(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TPUPartitionedInput): An op that groups a list of partitioned inputs together.

[`TPUPartitionedInputV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TPUPartitionedInputV2): An op that groups a list of partitioned inputs together. Supports ND sharding.

[`TPUPartitionedOutput(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TPUPartitionedOutput): An op that demultiplexes a tensor to be sharded by XLA to a list of partitioned

[`TPUPartitionedOutputV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TPUPartitionedOutputV2): An op that demultiplexes a tensor to be sharded by XLA to a list of partitioned

[`TPUReplicateMetadata(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TPUReplicateMetadata): Metadata indicating how the TPU computation should be replicated.

[`TPUReplicatedInput(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TPUReplicatedInput): Connects N inputs to an N-way replicated TPU computation.

[`TPUReplicatedOutput(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TPUReplicatedOutput): Connects N outputs from an N-way replicated TPU computation.

[`TakeDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TakeDataset): Creates a dataset that contains `count` elements from the `input_dataset`.

[`TakeManySparseFromTensorsMap(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TakeManySparseFromTensorsMap): Read `SparseTensors` from a `SparseTensorsMap` and concatenate them.

[`TakeWhileDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TakeWhileDataset): Creates a dataset that stops iteration when predicate\` is false.

[`Tan(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Tan): Computes tan of x element-wise.

[`Tanh(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Tanh): Computes hyperbolic tangent of `x` element-wise.

[`TanhGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TanhGrad): Computes the gradient for the tanh of `x` wrt its input.

[`TemporaryVariable(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TemporaryVariable): Returns a tensor that may be mutated, but only persists within a single step.

[`TensorArray(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArray)

[`TensorArrayClose(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayClose)

[`TensorArrayCloseV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayCloseV2): Deprecated.

[`TensorArrayCloseV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayCloseV3): Delete the TensorArray from its resource container.

[`TensorArrayConcat(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayConcat)

[`TensorArrayConcatV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayConcatV2): Deprecated.

[`TensorArrayConcatV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayConcatV3): Concat the elements from the TensorArray into value `value`.

[`TensorArrayGather(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayGather)

[`TensorArrayGatherV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayGatherV2): Deprecated.

[`TensorArrayGatherV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayGatherV3): Gather specific elements from the TensorArray into output `value`.

[`TensorArrayGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayGrad)

[`TensorArrayGradV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayGradV2): Deprecated.

[`TensorArrayGradV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayGradV3): Creates a TensorArray for storing the gradients of values in the given handle.

[`TensorArrayGradWithShape(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayGradWithShape): Creates a TensorArray for storing multiple gradients of values in the given handle.

[`TensorArrayPack(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayPack)

[`TensorArrayRead(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayRead)

[`TensorArrayReadV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayReadV2): Deprecated.

[`TensorArrayReadV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayReadV3): Read an element from the TensorArray into output `value`.

[`TensorArrayScatter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayScatter)

[`TensorArrayScatterV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayScatterV2): Deprecated.

[`TensorArrayScatterV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayScatterV3): Scatter the data from the input value into specific TensorArray elements.

[`TensorArraySize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArraySize)

[`TensorArraySizeV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArraySizeV2): Deprecated.

[`TensorArraySizeV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArraySizeV3): Get the current size of the TensorArray.

[`TensorArraySplit(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArraySplit)

[`TensorArraySplitV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArraySplitV2): Deprecated.

[`TensorArraySplitV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArraySplitV3): Split the data from the input value into TensorArray elements.

[`TensorArrayUnpack(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayUnpack)

[`TensorArrayV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayV2): Deprecated.

[`TensorArrayV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayV3): An array of Tensors of given size.

[`TensorArrayWrite(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayWrite)

[`TensorArrayWriteV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayWriteV2): Deprecated.

[`TensorArrayWriteV3(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorArrayWriteV3): Push an element onto the tensor_array.

[`TensorDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorDataset): Creates a dataset that emits `components` as a tuple of tensors once.

[`TensorListConcat(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListConcat): Concats all tensors in the list along the 0th dimension.

[`TensorListConcatLists(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListConcatLists)

[`TensorListConcatV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListConcatV2): Concats all tensors in the list along the 0th dimension.

[`TensorListElementShape(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListElementShape): The shape of the elements of the given list, as a tensor.

[`TensorListFromTensor(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListFromTensor): Creates a TensorList which, when stacked, has the value of `tensor`.

[`TensorListGather(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListGather): Creates a Tensor by indexing into the TensorList.

[`TensorListGetItem(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListGetItem): Returns the item in the list with the given index.

[`TensorListLength(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListLength): Returns the number of tensors in the input tensor list.

[`TensorListPopBack(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListPopBack): Returns the last element of the input list as well as a list with all but that element.

[`TensorListPushBack(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/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(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListPushBackBatch)

[`TensorListReserve(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListReserve): List of the given size with empty elements.

[`TensorListResize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListResize): Resizes the list.

[`TensorListScatter(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListScatter): Creates a TensorList by indexing into a Tensor.

[`TensorListScatterIntoExistingList(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListScatterIntoExistingList): Scatters tensor at indices in an input list.

[`TensorListScatterV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListScatterV2): Creates a TensorList by indexing into a Tensor.

[`TensorListSetItem(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListSetItem): Sets the index-th position of the list to contain the given tensor.

[`TensorListSplit(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListSplit): Splits a tensor into a list.

[`TensorListStack(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorListStack): Stacks all tensors in the list.

[`TensorScatterAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorScatterAdd): Adds sparse `updates` to an existing tensor according to `indices`.

[`TensorScatterMax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorScatterMax): Apply a sparse update to a tensor taking the element-wise maximum.

[`TensorScatterMin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorScatterMin)

[`TensorScatterSub(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorScatterSub): Subtracts sparse `updates` from an existing tensor according to `indices`.

[`TensorScatterUpdate(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorScatterUpdate): Scatter `updates` into an existing tensor according to `indices`.

[`TensorSliceDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorSliceDataset): Creates a dataset that emits each dim-0 slice of `components` once.

[`TensorStridedSliceUpdate(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorStridedSliceUpdate): Assign `value` to the sliced l-value reference of `input`.

[`TensorSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorSummary): Outputs a `Summary` protocol buffer with a tensor.

[`TensorSummaryV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TensorSummaryV2): Outputs a `Summary` protocol buffer with a tensor and per-plugin data.

[`TextLineDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TextLineDataset): Creates a dataset that emits the lines of one or more text files.

[`TextLineReader(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TextLineReader): A Reader that outputs the lines of a file delimited by '\\n'.

[`TextLineReaderV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TextLineReaderV2): A Reader that outputs the lines of a file delimited by '\\n'.

[`ThreadPoolDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ThreadPoolDataset): Creates a dataset that uses a custom thread pool to compute `input_dataset`.

[`ThreadPoolHandle(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ThreadPoolHandle): Creates a dataset that uses a custom thread pool to compute `input_dataset`.

[`ThreadUnsafeUnigramCandidateSampler(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ThreadUnsafeUnigramCandidateSampler): Generates labels for candidate sampling with a learned unigram distribution.

[`Tile(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Tile): Constructs a tensor by tiling a given tensor.

[`TileGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TileGrad): Returns the gradient of `Tile`.

[`Timestamp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Timestamp): Provides the time since epoch in seconds.

[`ToBool(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ToBool): Converts a tensor to a scalar predicate.

[`TopK(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TopK): Finds values and indices of the `k` largest elements for the last dimension.

[`TopKV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TopKV2): Finds values and indices of the `k` largest elements for the last dimension.

[`Transpose(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Transpose): Shuffle dimensions of x according to a permutation.

[`TridiagonalMatMul(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TridiagonalMatMul): Calculate product with tridiagonal matrix.

[`TridiagonalSolve(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TridiagonalSolve): Solves tridiagonal systems of equations.

[`TruncateDiv(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TruncateDiv): Returns x / y element-wise, rounded towards zero.

[`TruncateMod(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TruncateMod): Returns element-wise remainder of division.

[`TruncatedNormal(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/TruncatedNormal): Outputs random values from a truncated normal distribution.

[`Unbatch(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Unbatch): Reverses the operation of Batch for a single output Tensor.

[`UnbatchDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnbatchDataset): A dataset that splits the elements of its input into multiple elements.

[`UnbatchGrad(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnbatchGrad): Gradient of Unbatch.

[`UncompressElement(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UncompressElement): Uncompresses a compressed dataset element.

[`UnicodeDecode(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnicodeDecode): Decodes each string in `input` into a sequence of Unicode code points.

[`UnicodeDecodeWithOffsets(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnicodeDecodeWithOffsets): Decodes each string in `input` into a sequence of Unicode code points.

[`UnicodeEncode(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnicodeEncode): Encode a tensor of ints into unicode strings.

[`UnicodeScript(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnicodeScript): Determine the script codes of a given tensor of Unicode integer code points.

[`UnicodeTranscode(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnicodeTranscode): Transcode the input text from a source encoding to a destination encoding.

[`UniformCandidateSampler(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniformCandidateSampler): Generates labels for candidate sampling with a uniform distribution.

[`UniformDequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniformDequantize): Perform dequantization on the quantized Tensor `input`.

[`UniformQuantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniformQuantize): Perform quantization on Tensor `input`.

[`UniformQuantizedAdd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniformQuantizedAdd): Perform quantized add of quantized Tensor `lhs` and quantized Tensor `rhs` to make quantized `output`.

[`UniformQuantizedClipByValue(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniformQuantizedClipByValue): Perform clip by value on the quantized Tensor `operand`.

[`UniformQuantizedConvolution(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniformQuantizedConvolution): Perform quantized convolution of quantized Tensor `lhs` and quantized Tensor `rhs`. to make quantized `output`.

[`UniformQuantizedConvolutionHybrid(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniformQuantizedConvolutionHybrid): Perform hybrid quantized convolution of float Tensor `lhs` and quantized Tensor `rhs`.

[`UniformQuantizedDot(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniformQuantizedDot): Perform quantized dot of quantized Tensor `lhs` and quantized Tensor `rhs` to make quantized `output`.

[`UniformQuantizedDotHybrid(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniformQuantizedDotHybrid): Perform hybrid quantized dot of float Tensor `lhs` and quantized Tensor `rhs`.

[`UniformRequantize(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniformRequantize): Given quantized tensor `input`, requantize it with new quantization parameters.

[`Unique(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Unique): Finds unique elements in a 1-D tensor.

[`UniqueDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniqueDataset): Creates a dataset that contains the unique elements of `input_dataset`.

[`UniqueV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniqueV2): Finds unique elements along an axis of a tensor.

[`UniqueWithCounts(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniqueWithCounts): Finds unique elements in a 1-D tensor.

[`UniqueWithCountsV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UniqueWithCountsV2): Finds unique elements along an axis of a tensor.

[`Unpack(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Unpack): Unpacks a given dimension of a rank-`R` tensor into `num` rank-`(R-1)` tensors.

[`UnravelIndex(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnravelIndex): Converts an array of flat indices into a tuple of coordinate arrays.

[`UnsortedSegmentJoin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnsortedSegmentJoin)

[`UnsortedSegmentMax(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnsortedSegmentMax): Computes the maximum along segments of a tensor.

[`UnsortedSegmentMin(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnsortedSegmentMin): Computes the minimum along segments of a tensor.

[`UnsortedSegmentProd(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnsortedSegmentProd): Computes the product along segments of a tensor.

[`UnsortedSegmentSum(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnsortedSegmentSum): Computes the sum along segments of a tensor.

[`Unstage(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Unstage): Op is similar to a lightweight Dequeue.

[`UnwrapDatasetVariant(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UnwrapDatasetVariant)

[`UpperBound(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/UpperBound): Applies upper_bound(sorted_search_values, values) along each row.

[`VarHandleOp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/VarHandleOp): Creates a handle to a Variable resource.

[`VarIsInitializedOp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/VarIsInitializedOp): Checks whether a resource handle-based variable has been initialized.

[`Variable(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Variable): Use VariableV2 instead.

[`VariableShape(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/VariableShape): Returns the shape of the variable pointed to by `resource`.

[`VariableV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/VariableV2): Holds state in the form of a tensor that persists across steps.

[`Where(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Where): Returns locations of nonzero / true values in a tensor.

[`While(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/While): output = input; While (Cond(output)) { output = Body(output) }

[`WholeFileReader(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WholeFileReader): A Reader that outputs the entire contents of a file as a value.

[`WholeFileReaderV2(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WholeFileReaderV2): A Reader that outputs the entire contents of a file as a value.

[`WindowDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WindowDataset): Combines (nests of) input elements into a dataset of (nests of) windows.

[`WindowOp(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WindowOp)

[`WorkerHeartbeat(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WorkerHeartbeat): Worker heartbeat op.

[`WrapDatasetVariant(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WrapDatasetVariant)

[`WriteAudioSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WriteAudioSummary): Writes an audio summary.

[`WriteFile(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WriteFile): Writes `contents` to the file at input `filename`.

[`WriteGraphSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WriteGraphSummary): Writes a graph summary.

[`WriteHistogramSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WriteHistogramSummary): Writes a histogram summary.

[`WriteImageSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WriteImageSummary): Writes an image summary.

[`WriteRawProtoSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WriteRawProtoSummary): Writes a serialized proto summary.

[`WriteScalarSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WriteScalarSummary): Writes a scalar summary.

[`WriteSummary(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/WriteSummary): Writes a tensor summary.

[`Xdivy(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Xdivy): Returns 0 if x == 0, and x / y otherwise, elementwise.

[`XlaConcatND(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/XlaConcatND): Concats input tensor across all dimensions.

[`XlaSplitND(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/XlaSplitND): Splits input tensor across all dimensions.

[`Xlog1py(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Xlog1py): Returns 0 if x == 0, and x \* log1p(y) otherwise, elementwise.

[`Xlogy(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Xlogy): Returns 0 if x == 0, and x \* log(y) otherwise, elementwise.

[`ZerosLike(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ZerosLike): Returns a tensor of zeros with the same shape and type as x.

[`Zeta(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/Zeta): Compute the Hurwitz zeta function \\(\\zeta(x, q)\\).

[`ZipDataset(...)`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/raw_ops/ZipDataset): Creates a dataset that zips together `input_datasets`.