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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.
AnonymousMultiDeviceIterator(...)
: A container for a multi device iterator resource.
AnonymousRandomSeedGenerator(...)
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.
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.
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.
BatchDataset(...)
: Creates a dataset that batches batch_size
elements from input_dataset
.
BatchDatasetV2(...)
: Creates a dataset that batches batch_size
elements from input_dataset
.
BatchFunction(...)
: Batches all the inputs tensors to the computation done by the function.
BatchMatMul(...)
: Multiplies slices of two tensors in batches.
BatchMatMulV2(...)
: Multiplies slices of two tensors in batches.
BatchMatrixTriangularSolve(...)
BatchNormWithGlobalNormalization(...)
: Batch normalization.