Module: tf.compat.v1.raw_ops

Public API for tf.raw_ops namespace.

Functions

Abort(...): Raise a exception to abort the process when called.

Abs(...): Computes the absolute value of a tensor.

AccumulateNV2(...): Returns the element-wise sum of a list of tensors.

AccumulatorApplyGradient(...): Applies a gradient to a given accumulator.

AccumulatorNumAccumulated(...): Returns the number of gradients aggregated in the given accumulators.

AccumulatorSetGlobalStep(...): Updates the accumulator with a new value for global_step.

AccumulatorTakeGradient(...): Extracts the average gradient in the given ConditionalAccumulator.

Acos(...): Computes acos of x element-wise.

Acosh(...): Computes inverse hyperbolic cosine of x element-wise.

Add(...): Returns x + y element-wise.

AddManySparseToTensorsMap(...): Add an N-minibatch SparseTensor to a SparseTensorsMap, return N handles.

AddN(...): Add all input tensors element wise.

AddSparseToTensorsMap(...): Add a SparseTensor to a SparseTensorsMap return its handle.

AddV2(...): Returns x + y element-wise.

AdjustContrast(...): Deprecated. Disallowed in GraphDef version >= 2.

AdjustContrastv2(...): Adjust the contrast of one or more images.

AdjustHue(...): Adjust the hue of one or more images.

AdjustSaturation(...): Adjust the saturation of one or more images.

All(...): Computes the "logical and" of elements across dimensions of a tensor.

AllCandidateSampler(...): Generates labels for candidate sampling with a learned unigram distribution.

AllToAll(...): An Op to exchange data across TPU replicas.

Angle(...): Returns the argument of a complex number.

AnonymousIterator(...): A container for an iterator resource.

AnonymousIteratorV2(...): A container for an iterator resource.

AnonymousMemoryCache(...)

AnonymousMultiDeviceIterator(...): A container for a multi device iterator resource.

AnonymousRandomSeedGenerator(...)

AnonymousSeedGenerator(...)

Any(...): Computes the "logical or" of elements across dimensions of a tensor.

ApplyAdaMax(...): Update '*var' according to the AdaMax algorithm.

ApplyAdadelta(...): Update '*var' according to the adadelta scheme.

ApplyAdagrad(...): Update '*var' according to the adagrad scheme.

ApplyAdagradDA(...): Update '*var' according to the proximal adagrad scheme.

ApplyAdagradV2(...): Update '*var' according to the adagrad scheme.

ApplyAdam(...): Update '*var' according to the Adam algorithm.

ApplyAddSign(...): Update '*var' according to the AddSign update.

ApplyCenteredRMSProp(...): Update '*var' according to the centered RMSProp algorithm.

ApplyFtrl(...): Update '*var' according to the Ftrl-proximal scheme.

ApplyFtrlV2(...): Update '*var' according to the Ftrl-proximal scheme.

ApplyGradientDescent(...): Update '*var' by subtracting 'alpha' * 'delta' from it.

ApplyMomentum(...): Update '*var' according to the momentum scheme.

ApplyPowerSign(...): Update '*var' according to the AddSign update.

ApplyProximalAdagrad(...): Update 'var' and 'accum' according to FOBOS with Adagrad learning rate.

ApplyProximalGradientDescent(...): Update '*var' as FOBOS algorithm with fixed learning rate.

ApplyRMSProp(...): Update '*var' according to the RMSProp algorithm.

ApproximateEqual(...): Returns the truth value of abs(x-y) < tolerance element-wise.

ArgMax(...): Returns the index with the largest value across dimensions of a tensor.

ArgMin(...): Returns the index with the smallest value across dimensions of a tensor.

AsString(...): Converts each entry in the given tensor to strings.

Asin(...): Computes the trignometric inverse sine of x element-wise.

Asinh(...): Computes inverse hyperbolic sine of x element-wise.

Assert(...): Asserts that the given condition is true.

AssertCardinalityDataset(...)

AssertNextDataset(...): A transformation that asserts which transformations happen next.

Assign(...): Update 'ref' by assigning 'value' to it.

AssignAdd(...): Update 'ref' by adding 'value' to it.

AssignAddVariableOp(...): Adds a value to the current value of a variable.

AssignSub(...): Update 'ref' by subtracting 'value' from it.

AssignSubVariableOp(...): Subtracts a value from the current value of a variable.

AssignVariableOp(...): Assigns a new value to a variable.

Atan(...): Computes the trignometric inverse tangent of x element-wise.

Atan2(...): Computes arctangent of y/x element-wise, respecting signs of the arguments.

Atanh(...): Computes inverse hyperbolic tangent of x element-wise.

AudioSpectrogram(...): Produces a visualization of audio data over time.

AudioSummary(...): Outputs a Summary protocol buffer with audio.

AudioSummaryV2(...): Outputs a Summary protocol buffer with audio.

AutoShardDataset(...): Creates a dataset that shards the input dataset.

AvgPool(...): Performs average pooling on the input.

AvgPool3D(...): Performs 3D average pooling on the input.

AvgPool3DGrad(...): Computes gradients of average pooling function.

AvgPoolGrad(...): Computes gradients of the average pooling function.

BandedTriangularSolve(...)

Barrier(...): Defines a barrier that persists across different graph executions.

BarrierClose(...): Closes the given barrier.

BarrierIncompleteSize(...): Computes the number of incomplete elements in the given barrier.

BarrierInsertMany(...): For each key, assigns the respective value to the specified component.

BarrierReadySize(...): Computes the number of complete elements in the given barrier.

BarrierTakeMany(...): Takes the given number of completed elements from a barrier.

Batch(...): Batches all input tensors nondeterministically.

BatchCholesky(...)

BatchCholeskyGrad(...)

BatchDataset(...): Creates a dataset that batches batch_size elements from input_dataset.

BatchDatasetV2(...): Creates a dataset that batches batch_size elements from input_dataset.

BatchFFT(...)

BatchFFT2D(...)

BatchFFT3D(...)

BatchFunction(...): Batches all the inputs tensors to the computation done by the function.

BatchIFFT(...)

BatchIFFT2D(...)

BatchIFFT3D(...)

BatchMatMul(...): Multiplies slices of two tensors in batches.

BatchMatMulV2(...): Multiplies slices of two tensors in batches.

BatchMatrixBandPart(...)