| Package | Description |
|---|---|
| org.bytedeco.tensorflow | |
| org.bytedeco.tensorflow.global |
| Class and Description |
|---|
| Abort
\defgroup control_flow_ops Control Flow Ops
\{
|
| Abort.Attrs
Optional attribute setters for Abort
|
| Abs
\defgroup math_ops Math Ops
\{
|
| AbstractSession |
| AbstractTensor |
| AbstractTF_Buffer |
| AbstractTF_Graph |
| AbstractTF_ImportGraphDefOptions |
| AbstractTF_Session |
| AbstractTF_SessionOptions |
| AbstractTF_Status |
| AbstractTF_Tensor |
| AccumulateNV2
Returns the element-wise sum of a list of tensors.
|
| AccumulatorApplyGradient
\defgroup data_flow_ops Data Flow Ops
\{
|
| 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
\defgroup sparse_ops Sparse Ops
\{
|
| AddManySparseToTensorsMap.Attrs
Optional attribute setters for AddManySparseToTensorsMap
|
| AddN
Add all input tensors element wise.
|
| AddSparseToTensorsMap
Add a
SparseTensor to a SparseTensorsMap return its handle. |
| AddSparseToTensorsMap.Attrs
Optional attribute setters for AddSparseToTensorsMap
|
| AddV2
Returns x + y element-wise.
|
| AdjustContrast
\defgroup image_ops Image Ops
\{
|
| 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.
|
| All.Attrs
Optional attribute setters for All
|
| AllCandidateSampler
\defgroup candidate_sampling_ops Candidate Sampling Ops
\{
|
| AllCandidateSampler.Attrs
Optional attribute setters for AllCandidateSampler
|
| AllocationAttributes |
| AllocationDescription |
| AllocationRecord |
| Allocator |
| AllocatorAttributes |
| AllocatorAttributesVector |
| AllocatorMemoryUsed |
| AllocatorStats |
| AllocRecord |
| AllocRecordVector |
| Angle
Returns the argument of a complex number.
|
| Angle.Attrs
Optional attribute setters for Angle
|
| Any
Computes the "logical or" of elements across dimensions of a tensor.
|
| Any.Attrs
Optional attribute setters for Any
|
| ApiDef |
| ApiDef_Arg |
| ApiDef_Attr |
| ApiDef_Endpoint |
| ApiDefMap |
| ApiDefs |
| ApplyAdadelta
\defgroup training_ops Training Ops
\{
|
| ApplyAdadelta.Attrs
Optional attribute setters for ApplyAdadelta
|
| ApplyAdagrad
Update '*var' according to the adagrad scheme.
|
| ApplyAdagrad.Attrs
Optional attribute setters for ApplyAdagrad
|
| ApplyAdagradDA
Update '*var' according to the proximal adagrad scheme.
|
| ApplyAdagradDA.Attrs
Optional attribute setters for ApplyAdagradDA
|
| ApplyAdam
Update '*var' according to the Adam algorithm.
|
| ApplyAdam.Attrs
Optional attribute setters for ApplyAdam
|
| ApplyAddSign
Update '*var' according to the AddSign update.
|
| ApplyAddSign.Attrs
Optional attribute setters for ApplyAddSign
|
| ApplyCenteredRMSProp
Update '*var' according to the centered RMSProp algorithm.
|
| ApplyCenteredRMSProp.Attrs
Optional attribute setters for ApplyCenteredRMSProp
|
| ApplyFtrl
Update '*var' according to the Ftrl-proximal scheme.
|
| ApplyFtrl.Attrs
Optional attribute setters for ApplyFtrl
|
| ApplyFtrlV2
Update '*var' according to the Ftrl-proximal scheme.
|
| ApplyFtrlV2.Attrs
Optional attribute setters for ApplyFtrlV2
|
| ApplyGradientDescent
Update '*var' by subtracting 'alpha' * 'delta' from it.
|
| ApplyGradientDescent.Attrs
Optional attribute setters for ApplyGradientDescent
|
| ApplyMomentum
Update '*var' according to the momentum scheme.
|
| ApplyMomentum.Attrs
Optional attribute setters for ApplyMomentum
|
| ApplyPowerSign
Update '*var' according to the AddSign update.
|
| ApplyPowerSign.Attrs
Optional attribute setters for ApplyPowerSign
|
| ApplyProximalAdagrad
Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
|
| ApplyProximalAdagrad.Attrs
Optional attribute setters for ApplyProximalAdagrad
|
| ApplyProximalGradientDescent
Update '*var' as FOBOS algorithm with fixed learning rate.
|
| ApplyProximalGradientDescent.Attrs
Optional attribute setters for ApplyProximalGradientDescent
|
| ApplyRMSProp
Update '*var' according to the RMSProp algorithm.
|
| ApplyRMSProp.Attrs
Optional attribute setters for ApplyRMSProp
|
| ApproximateEqual
Returns the truth value of abs(x-y) < tolerance element-wise.
|
| ApproximateEqual.Attrs
Optional attribute setters for ApproximateEqual
|
| Arena |
| Arena.Destruct_Pointer |
| ArenaOptions |
| ArenaOptions.Block_alloc_long |
| ArenaOptions.Block_dealloc_Pointer_long |
| ArgMax
Returns the index with the largest value across dimensions of a tensor.
|
| ArgMax.Attrs
Optional attribute setters for ArgMax
|
| ArgMin
Returns the index with the smallest value across dimensions of a tensor.
|
| ArgMin.Attrs
Optional attribute setters for ArgMin
|
| Asin
Computes the trignometric inverse sine of x element-wise.
|
| Asinh
Computes inverse hyperbolic sine of x element-wise.
|
| Assert
\defgroup logging_ops Logging Ops
\{
|
| Assert.Attrs
Optional attribute setters for Assert
|
| AssetFileDef |
| Assign
\defgroup state_ops State Ops
\{
|
| Assign.Attrs
Optional attribute setters for Assign
|
| AssignAdd
Update 'ref' by adding 'value' to it.
|
| AssignAdd.Attrs
Optional attribute setters for AssignAdd
|
| AssignSub
Update 'ref' by subtracting 'value' from it.
|
| AssignSub.Attrs
Optional attribute setters for AssignSub
|
| AsString
\defgroup string_ops String Ops
\{
|
| AsString.Attrs
Optional attribute setters for AsString
|
| AsyncLocalTensorHandleData |
| AsyncOpKernel |
| 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.
|
| AttrBuilder |
| AttrSlice |
| AttrSlice.Scratch |
| AttrValue |
| AttrValue_ListValue |
| AudioSpectrogram
\defgroup audio_ops Audio Ops
\{
|
| AudioSpectrogram.Attrs
Optional attribute setters for AudioSpectrogram
|
| AudioSummary
Outputs a
Summary protocol buffer with audio. |
| AudioSummary.Attrs
Optional attribute setters for AudioSummary
|
| AutoParallelOptions |
| AvgPool
\defgroup nn_ops Nn Ops
\{
|
| AvgPool.Attrs
Optional attribute setters for AvgPool
|
| AvgPool3D
Performs 3D average pooling on the input.
|
| AvgPool3D.Attrs
Optional attribute setters for AvgPool3D
|
| AvgPool3DGrad
Computes gradients of average pooling function.
|
| AvgPool3DGrad.Attrs
Optional attribute setters for AvgPool3DGrad
|
| AvgPoolGrad
\defgroup nn_ops_internal Nn Ops Internal
\{
|
| AvgPoolGrad.Attrs
Optional attribute setters for AvgPoolGrad
|
| Barrier
Defines a barrier that persists across different graph executions.
|
| Barrier.Attrs
Optional attribute setters for Barrier
|
| BarrierClose
Closes the given barrier.
|
| BarrierClose.Attrs
Optional attribute setters for BarrierClose
|
| BarrierIncompleteSize
Computes the number of incomplete elements in the given barrier.
|
| BarrierInsertMany
For each key, assigns the respective value to the specified component.
|
| BarrierReadySize
Computes the number of complete elements in the given barrier.
|
| BarrierTakeMany
Takes the given number of completed elements from a barrier.
|
| BarrierTakeMany.Attrs
Optional attribute setters for BarrierTakeMany
|
| BatchMatMul
Multiplies slices of two tensors in batches.
|
| BatchMatMul.Attrs
Optional attribute setters for BatchMatMul
|
| BatchMatMulV2
Multiplies slices of two tensors in batches.
|
| BatchMatMulV2.Attrs
Optional attribute setters for BatchMatMulV2
|
| BatchToSpace
\defgroup array_ops Array Ops
\{
|
| BatchToSpaceND
BatchToSpace for N-D tensors of type T.
|
| BesselI0e
Computes the Bessel i0e function of
x element-wise. |
| BesselI1e
Computes the Bessel i1e function of
x element-wise. |
| Betainc
Compute the regularized incomplete beta integral \(I_x(a, b)\).
|
| bfloat16 |
| bfloat16.FP32 |
| bfloat16NumTraits |
| BiasAdd
Adds
bias to value. |
| BiasAdd.Attrs
Optional attribute setters for BiasAdd
|
| BiasAddGrad
The backward operation for "BiasAdd" on the "bias" tensor.
|
| BiasAddGrad.Attrs
Optional attribute setters for BiasAddGrad
|
| Bincount
Counts the number of occurrences of each value in an integer array.
|
| Bitcast
Bitcasts a tensor from one type to another without copying data.
|
| BoolGaugeCell |
| BoundedZCIS |
| BroadcastDynamicShape
Return the shape of s0 op s1 with broadcast.
|
| BroadcastTo
Broadcast an array for a compatible shape.
|
| Bucketize
Bucketizes 'input' based on 'boundaries'.
|
| Buckets |
| BufRendezvous |
| BundleWriter.Options |
| BytesList |
| CallableOptions |
| CallFrameInterface |
| CallOptions |
| CancellationManager |
| CastOp
Cast x of type SrcT to y of DstT.
|
| CastOp.Attrs
Optional attribute setters for Cast
|
| Ceil
Returns element-wise smallest integer not less than x.
|
| CheckNumerics
Checks a tensor for NaN and Inf values.
|
| Cholesky
\defgroup linalg_ops Linalg Ops
\{
|
| CholeskyGrad
Computes the reverse mode backpropagated gradient of the Cholesky algorithm.
|
| CleanupAllRequest |
| CleanupAllResponse |
| CleanupGraphRequest |
| CleanupGraphResponse |
| ClipByValue
Clips tensor values to a specified min and max.
|
| CloseContextRequest |
| CloseContextResponse |
| CloseSessionRequest |
| CloseSessionResponse |
| ClusterDef |
| ClusterFunctionLibraryRuntime |
| CodedInputStream |
| CodedOutputStream |
| CollectionDef |
| CollectionDef_AnyList |
| CollectionDef_BytesList |
| CollectionDef_FloatList |
| CollectionDef_Int64List |
| CollectionDef_NodeList |
| CollectiveContext |
| CollectiveExecutor |
| CollectiveExecutor.Handle |
| CollectiveExecutorMgrInterface |
| CollectiveImplementationInterface |
| CollectiveImplementationVector |
| CollectiveImplementationVector.Iterator |
| CollectiveParams |
| CollectiveRegistry |
| CollectiveRemoteAccess |
| CollGroupParams |
| CollGroupRuntimeDetails |
| CollImplDetails |
| CollInstanceParams |
| CollTaskParams |
| CombinedNonMaxSuppression
Greedily selects a subset of bounding boxes in descending order of score,
This operation performs non_max_suppression on the inputs per batch, across
all classes.
|
| CombinedNonMaxSuppression.Attrs
Optional attribute setters for CombinedNonMaxSuppression
|
| CompareAndBitpack
Compare values of
input to threshold and pack resulting bits into a uint8. |
| CompleteGroupRequest |
| CompleteGroupResponse |
| CompleteInstanceRequest |
| CompleteInstanceResponse |
| Complex
Converts two real numbers to a complex number.
|
| Complex.Attrs
Optional attribute setters for Complex
|
| ComplexAbs
Computes the complex absolute value of a tensor.
|
| ComplexAbs.Attrs
Optional attribute setters for ComplexAbs
|
| ComputeAccidentalHits
Computes the ids of the positions in sampled_candidates that match true_labels.
|
| ComputeAccidentalHits.Attrs
Optional attribute setters for ComputeAccidentalHits
|
| Concat
Concatenates tensors along one dimension.
|
| ConditionalAccumulator
A conditional accumulator for aggregating gradients.
|
| ConditionalAccumulator.Attrs
Optional attribute setters for ConditionalAccumulator
|
| ConfigProto |
| ConfigProto_Experimental |
| Conj
Returns the complex conjugate of a complex number.
|
| ConjugateTranspose
Shuffle dimensions of x according to a permutation and conjugate the result.
|
| ConstDimensionPtrVector |
| ConstDimensionPtrVector.Iterator |
| ConstTensorPtrVector |
| ConstTensorPtrVector.Iterator |
| ControlTrigger
Does nothing.
|
| Conv2D
Computes a 2-D convolution given 4-D
input and filter tensors. |
| Conv2D.Attrs
Optional attribute setters for Conv2D
|
| Conv2DBackpropFilter
Computes the gradients of convolution with respect to the filter.
|
| Conv2DBackpropFilter.Attrs
Optional attribute setters for Conv2DBackpropFilter
|
| Conv2DBackpropInput
Computes the gradients of convolution with respect to the input.
|
| Conv2DBackpropInput.Attrs
Optional attribute setters for Conv2DBackpropInput
|
| Conv3D
Computes a 3-D convolution given 5-D
input and filter tensors. |
| Conv3D.Attrs
Optional attribute setters for Conv3D
|
| Conv3DBackpropFilterV2
Computes the gradients of 3-D convolution with respect to the filter.
|
| Conv3DBackpropFilterV2.Attrs
Optional attribute setters for Conv3DBackpropFilterV2
|
| Conv3DBackpropInputV2
Computes the gradients of 3-D convolution with respect to the input.
|
| Conv3DBackpropInputV2.Attrs
Optional attribute setters for Conv3DBackpropInputV2
|
| CopyHelper |
| CopyThatWorksWithStringPointer |
| Cos
Computes cos of x element-wise.
|
| Cosh
Computes hyperbolic cosine of x element-wise.
|
| CostGraphDef |
| CostGraphDef_Node |
| CostGraphDef_Node_InputInfo |
| CostGraphDef_Node_OutputInfo |
| CounterCell |
| CountUpTo
Increments 'ref' until it reaches 'limit'.
|
| CreateContextRequest |
| CreateContextResponse |
| CreateSessionRequest |
| CreateSessionResponse |
| CreateWorkerSessionRequest |
| CreateWorkerSessionResponse |
| CropAndResize
Extracts crops from the input image tensor and resizes them.
|
| CropAndResize.Attrs
Optional attribute setters for CropAndResize
|
| CropAndResizeGradBoxes
Computes the gradient of the crop_and_resize op wrt the input boxes tensor.
|
| CropAndResizeGradBoxes.Attrs
Optional attribute setters for CropAndResizeGradBoxes
|
| CropAndResizeGradImage
Computes the gradient of the crop_and_resize op wrt the input image tensor.
|
| CropAndResizeGradImage.Attrs
Optional attribute setters for CropAndResizeGradImage
|
| Cross
Compute the pairwise cross product.
|
| Cumprod
Compute the cumulative product of the tensor
x along axis. |
| Cumprod.Attrs
Optional attribute setters for Cumprod
|
| Cumsum
Compute the cumulative sum of the tensor
x along axis. |
| Cumsum.Attrs
Optional attribute setters for Cumsum
|
| CustomKernelCreator |
| DataFormatDimMap
Returns the dimension index in the destination data format given the one in
the source data format.
|
| DataFormatDimMap.Attrs
Optional attribute setters for DataFormatDimMap
|
| DataFormatVecPermute
Returns the permuted vector/tensor in the destination data format given the
one in the source data format.
|
| DataFormatVecPermute.Attrs
Optional attribute setters for DataFormatVecPermute
|
| DataTypeSet |
| DataTypeSet.Iterator |
| DataTypeTensorShapePair |
| DataTypeToEnum |
| DataTypeVector |
| Deallocator_Pointer_long_Pointer |
| DebuggedSourceFile |
| DebuggedSourceFiles |
| DebugGradientIdentity
Identity op for gradient debugging.
|
| DebugGradientRefIdentity
Identity op for gradient debugging.
|
| DebugOptions |
| DebugTensorWatch |
| DecodeAndCropJpeg
Decode and Crop a JPEG-encoded image to a uint8 tensor.
|
| DecodeAndCropJpeg.Attrs
Optional attribute setters for DecodeAndCropJpeg
|
| DecodeBase64
Decode web-safe base64-encoded strings.
|
| DecodeBmp
Decode the first frame of a BMP-encoded image to a uint8 tensor.
|
| DecodeBmp.Attrs
Optional attribute setters for DecodeBmp
|
| DecodeCompressed
Decompress strings.
|
| DecodeCompressed.Attrs
Optional attribute setters for DecodeCompressed
|
| DecodeCSV
\defgroup parsing_ops Parsing Ops
\{
|
| DecodeCSV.Attrs
Optional attribute setters for DecodeCSV
|
| DecodeGif
Decode the frame(s) of a GIF-encoded image to a uint8 tensor.
|
| DecodeJpeg
Decode a JPEG-encoded image to a uint8 tensor.
|
| DecodeJpeg.Attrs
Optional attribute setters for DecodeJpeg
|
| DecodeJSONExample
Convert JSON-encoded Example records to binary protocol buffer strings.
|
| DecodePaddedRaw
Reinterpret the bytes of a string as a vector of numbers.
|
| DecodePaddedRaw.Attrs
Optional attribute setters for DecodePaddedRaw
|
| DecodePng
Decode a PNG-encoded image to a uint8 or uint16 tensor.
|
| DecodePng.Attrs
Optional attribute setters for DecodePng
|
| DecodeRaw
Reinterpret the bytes of a string as a vector of numbers.
|
| DecodeRaw.Attrs
Optional attribute setters for DecodeRaw
|
| DecodeWav
Decode a 16-bit PCM WAV file to a float tensor.
|
| DecodeWav.Attrs
Optional attribute setters for DecodeWav
|
| DeepCopy
Makes a copy of
x. |
| DeleteSessionTensor
Delete the tensor specified by its handle in the session.
|
| DeleteWorkerSessionRequest |
| DeleteWorkerSessionResponse |
| DepthToSpace
DepthToSpace for tensors of type T.
|
| DepthToSpace.Attrs
Optional attribute setters for DepthToSpace
|
| DepthwiseConv2dNative
Computes a 2-D depthwise convolution given 4-D
input and filter tensors. |
| DepthwiseConv2dNative.Attrs
Optional attribute setters for DepthwiseConv2dNative
|
| DepthwiseConv2dNativeBackpropFilter
Computes the gradients of depthwise convolution with respect to the filter.
|
| DepthwiseConv2dNativeBackpropFilter.Attrs
Optional attribute setters for DepthwiseConv2dNativeBackpropFilter
|
| DepthwiseConv2dNativeBackpropInput
Computes the gradients of depthwise convolution with respect to the input.
|
| DepthwiseConv2dNativeBackpropInput.Attrs
Optional attribute setters for DepthwiseConv2dNativeBackpropInput
|
| Dequantize
Dequantize the 'input' tensor into a float Tensor.
|
| Dequantize.Attrs
Optional attribute setters for Dequantize
|
| DeregisterGraphRequest |
| DeregisterGraphResponse |
| DeserializeManySparse
Deserialize and concatenate
SparseTensors from a serialized minibatch. |
| DeserializeSparse
Deserialize
SparseTensor objects. |
| DestroyTemporaryVariable
Destroys the temporary variable and returns its final value.
|
| Device |
| DeviceAttributes |
| DeviceBase |
| DeviceBase.CpuWorkerThreads |
| DeviceBase.GpuDeviceInfo |
| DeviceContext |
| DeviceContextInlinedVector |
| DeviceContextVector |
| DeviceContextVector.Iterator |
| DeviceLocality |
| DeviceMap |
| DeviceMap.Iterator |
| DeviceMgr |
| DeviceName |
| DeviceNameUtils |
| DeviceNameUtils.ParsedName |
| DeviceResolverInterface |
| DeviceSet |
| DeviceStepStats |
| DeviceType |
| DeviceTypeVector |
| DeviceVector |
| DeviceVector.Iterator |
| Diag
Returns a diagonal tensor with a given diagonal values.
|
| DiagPart
Returns the diagonal part of the tensor.
|
| DictValue |
| Digamma
Computes Psi, the derivative of Lgamma (the log of the absolute value of
Gamma(x)), element-wise. |
| Dilation2D
Computes the grayscale dilation of 4-D
input and 3-D filter tensors. |
| Dilation2DBackpropFilter
Computes the gradient of morphological 2-D dilation with respect to the filter.
|
| Dilation2DBackpropInput
Computes the gradient of morphological 2-D dilation with respect to the input.
|
| Dimension |
| DimensionHandle |
| DimensionHandlePair |
| DimensionOrConstant |
| DistributedFunctionLibraryRuntime |
| Div
Returns x / y element-wise.
|
| DivNoNan
Returns 0 if the denominator is zero.
|
| DrawBoundingBoxes
Draw bounding boxes on a batch of images.
|
| DrawBoundingBoxesV2
Draw bounding boxes on a batch of images.
|
| DtypeAndPartialTensorShape |
| DtypeAndPartialTensorShapeIntMap |
| DtypeAndPartialTensorShapeIntMap.Iterator |
| DynamicPartition
Partitions
data into num_partitions tensors using indices from partitions. |
| DynamicStitch
Interleave the values from the
data tensors into a single tensor. |
| Eager_Operation |
| EagerClient |
| EagerClientCache |
| EagerContext |
| EagerExecutor |
| EagerNode |
| EagerOperation |
| Edge |
| EdgeSet |
| EdgeSet.EdgeSetIterator |
| EdgeSetBoolPair |
| EdgeSetIterator |
| EdgeVector |
| EdgeVector.Iterator |
| EditDistance
Computes the (possibly normalized) Levenshtein Edit Distance.
|
| EditDistance.Attrs
Optional attribute setters for EditDistance
|
| Einsum
Tensor contraction according to Einstein summation convention.
|
| Elu
Computes exponential linear:
exp(features) - 1 if < 0, features otherwise. |
| EluGrad
Computes gradients for the exponential linear (Elu) operation.
|
| Empty
Creates a tensor with the given shape.
|
| Empty.Attrs
Optional attribute setters for Empty
|
| EmptyTensorList
\defgroup list_ops List Ops
\{
|
| EncodeBase64
Encode strings into web-safe base64 format.
|
| EncodeBase64.Attrs
Optional attribute setters for EncodeBase64
|
| EncodeJpeg
JPEG-encode an image.
|
| EncodeJpeg.Attrs
Optional attribute setters for EncodeJpeg
|
| EncodeJpegVariableQuality
JPEG encode input image with provided compression quality.
|
| EncodePng
PNG-encode an image.
|
| EncodePng.Attrs
Optional attribute setters for EncodePng
|
| EncodeWav
Encode audio data using the WAV file format.
|
| EnqueueRequest |
| EnqueueResponse |
| EnsureShape
Ensures that the tensor's shape matches the expected shape.
|
| EnumToDataType |
| Env
\brief An interface used by the tensorflow implementation to
access operating system functionality like the filesystem etc.
|
| Equal
Returns the truth value of (x == y) element-wise.
|
| Equal.Attrs
Optional attribute setters for Equal
|
| Erf
Computes the Gauss error function of
x element-wise. |
| Erfc
Computes the complementary error function of
x element-wise. |
| EuclideanNorm
Computes the euclidean norm of elements across dimensions of a tensor.
|
| EuclideanNorm.Attrs
Optional attribute setters for EuclideanNorm
|
| EventMgr |
| Example |
| ExecutorOpts |
| Exp
Computes exponential of x element-wise.
|
| ExpandDims
Inserts a dimension of 1 into a tensor's shape.
|
| Expm1
Computes
exp(x) - 1 element-wise. |
| ExtendSessionRequest |
| ExtendSessionResponse |
| ExtractGlimpse
Extracts a glimpse from the input tensor.
|
| ExtractGlimpse.Attrs
Optional attribute setters for ExtractGlimpse
|
| ExtractImagePatches
Extract
patches from images and put them in the "depth" output dimension. |
| ExtractJpegShape
Extract the shape information of a JPEG-encoded image.
|
| ExtractJpegShape.Attrs
Optional attribute setters for ExtractJpegShape
|
| ExtractVolumePatches
Extract
patches from input and put them in the "depth" output dimension. |
| Fact
\defgroup user_ops User Ops
\{
|
| FakeQuantWithMinMaxArgs
Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.
|
| FakeQuantWithMinMaxArgs.Attrs
Optional attribute setters for FakeQuantWithMinMaxArgs
|
| FakeQuantWithMinMaxArgsGradient
Compute gradients for a FakeQuantWithMinMaxArgs operation.
|
| FakeQuantWithMinMaxArgsGradient.Attrs
Optional attribute setters for FakeQuantWithMinMaxArgsGradient
|
| FakeQuantWithMinMaxVars
Fake-quantize the 'inputs' tensor of type float via global float scalars
min
and max to 'outputs' tensor of same shape as inputs. |
| FakeQuantWithMinMaxVars.Attrs
Optional attribute setters for FakeQuantWithMinMaxVars
|
| FakeQuantWithMinMaxVarsGradient
Compute gradients for a FakeQuantWithMinMaxVars operation.
|
| FakeQuantWithMinMaxVarsGradient.Attrs
Optional attribute setters for FakeQuantWithMinMaxVarsGradient
|
| FakeQuantWithMinMaxVarsPerChannel
Fake-quantize the 'inputs' tensor of type float and one of the shapes:
[d],
[b, d] [b, h, w, d] via per-channel floats min and max of shape [d]
to 'outputs' tensor of same shape as inputs. |
| FakeQuantWithMinMaxVarsPerChannel.Attrs
Optional attribute setters for FakeQuantWithMinMaxVarsPerChannel
|
| FakeQuantWithMinMaxVarsPerChannelGradient
Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
|
| FakeQuantWithMinMaxVarsPerChannelGradient.Attrs
Optional attribute setters for FakeQuantWithMinMaxVarsPerChannelGradient
|
| FalseOpDefBuilderWrapper |
| FalseOpDefBuilderWrapper.Fn_InferenceContext |
| Feature |
| FeatureList |
| FeatureLists |
| Features |
| FIFOQueue
A queue that produces elements in first-in first-out order.
|
| FIFOQueue.Attrs
Optional attribute setters for FIFOQueue
|
| FileStatistics |
| FileSystem
A generic interface for accessing a file system.
|
| Fill
Creates a tensor filled with a scalar value.
|
| Fingerprint
Generates fingerprint values.
|
| FixedLengthRecordReader
\defgroup io_ops Io Ops
\{
|
| FixedLengthRecordReader.Attrs
Optional attribute setters for FixedLengthRecordReader
|
| FixedUnigramCandidateSampler
Generates labels for candidate sampling with a learned unigram distribution.
|
| FixedUnigramCandidateSampler.Attrs
Optional attribute setters for FixedUnigramCandidateSampler
|
| FloatList |
| Floor
Returns element-wise largest integer not greater than x.
|
| FloorDiv
Returns x // y element-wise.
|
| FloorMod
Returns element-wise remainder of division.
|
| Fprint128 |
| Fprint128Hasher |
| FractionalAvgPool
Performs fractional average pooling on the input.
|
| FractionalAvgPool.Attrs
Optional attribute setters for FractionalAvgPool
|
| FractionalAvgPoolGrad
Computes gradient of the FractionalAvgPool function.
|
| FractionalAvgPoolGrad.Attrs
Optional attribute setters for FractionalAvgPoolGrad
|
| FractionalMaxPool
Performs fractional max pooling on the input.
|
| FractionalMaxPool.Attrs
Optional attribute setters for FractionalMaxPool
|
| FractionalMaxPoolGrad
Computes gradient of the FractionalMaxPool function.
|
| FractionalMaxPoolGrad.Attrs
Optional attribute setters for FractionalMaxPoolGrad
|
| FrameAndIter |
| FrameAndIterHash |
| FunctionBody |
| FunctionDef |
| FunctionDef_ArgAttrs |
| FunctionDefHelper |
| FunctionDefHelper.AttrValueWrapper |
| FunctionDefHelper.Node |
| FunctionDefLibrary |
| FunctionLibraryDefinition |
| FunctionLibraryRuntime |
| FunctionLibraryRuntime.InstantiateOptions |
| FunctionLibraryRuntime.Options |
| FunctionSpec |
| FusedBatchNorm
Batch normalization.
|
| FusedBatchNorm.Attrs
Optional attribute setters for FusedBatchNorm
|
| FusedBatchNormGrad
Gradient for batch normalization.
|
| FusedBatchNormGrad.Attrs
Optional attribute setters for FusedBatchNormGrad
|
| FusedBatchNormGradV2
Gradient for batch normalization.
|
| FusedBatchNormGradV2.Attrs
Optional attribute setters for FusedBatchNormGradV2
|
| FusedBatchNormGradV3
Gradient for batch normalization.
|
| FusedBatchNormGradV3.Attrs
Optional attribute setters for FusedBatchNormGradV3
|
| FusedBatchNormV2
Batch normalization.
|
| FusedBatchNormV2.Attrs
Optional attribute setters for FusedBatchNormV2
|
| FusedBatchNormV3
Batch normalization.
|
| FusedBatchNormV3.Attrs
Optional attribute setters for FusedBatchNormV3
|
| FusedPadConv2D
Performs a padding as a preprocess during a convolution.
|
| FusedResizeAndPadConv2D
Performs a resize and padding as a preprocess during a convolution.
|
| FusedResizeAndPadConv2D.Attrs
Optional attribute setters for FusedResizeAndPadConv2D
|
| Gather
Gather slices from
params according to indices. |
| Gather.Attrs
Optional attribute setters for Gather
|
| GatherNd
Gather slices from
params into a Tensor with shape specified by indices. |
| GatherV2
Gather slices from
params axis axis according to indices. |
| GatherV2.Attrs
Optional attribute setters for GatherV2
|
| GetSessionHandle
Store the input tensor in the state of the current session.
|
| GetSessionHandleV2
Store the input tensor in the state of the current session.
|
| GetSessionTensor
Get the value of the tensor specified by its handle.
|
| GetStatusRequest |
| GetStatusResponse |
| GetStepSequenceRequest |
| GetStepSequenceResponse |
| GpuDevice |
| GPUOptions |
| GPUOptions_Experimental |
| GPUOptions_Experimental_VirtualDevices |
| GradientDef |
| Graph |
| GraphCollector |
| GraphConstructorOptions |
| GraphDef |
| GraphDefBuilder.Options |
| GraphEdgesIterable |
| GraphEdgesIterable.const_iterator |
| GraphMgr |
| GraphOptions |
| Greater
Returns the truth value of (x > y) element-wise.
|
| GreaterEqual
Returns the truth value of (x >= y) element-wise.
|
| GuaranteeConst
Gives a guarantee to the TF runtime that the input tensor is a constant.
|
| HalfHash |
| HashTable
\defgroup lookup_ops Lookup Ops
\{
|
| HashTable.Attrs
Optional attribute setters for HashTable
|
| HistogramFixedWidth
Return histogram of values.
|
| HistogramFixedWidth.Attrs
Optional attribute setters for HistogramFixedWidth
|
| HistogramProto |
| HistogramSummary
Outputs a
Summary protocol buffer with a histogram. |
| HSVToRGB
Convert one or more images from HSV to RGB.
|
| Identity
Return a tensor with the same shape and contents as the input tensor or value.
|
| IdentityN
Returns a list of tensors with the same shapes and contents as the input
tensors.
|
| IdentityReader
A Reader that outputs the queued work as both the key and value.
|
| IdentityReader.Attrs
Optional attribute setters for IdentityReader
|
| Igamma
Compute the lower regularized incomplete Gamma function
P(a, x). |
| Igammac
Compute the upper regularized incomplete Gamma function
Q(a, x). |
| Imag
Returns the imaginary part of a complex number.
|
| Imag.Attrs
Optional attribute setters for Imag
|
| ImageSummary
Outputs a
Summary protocol buffer with images. |
| ImageSummary.Attrs
Optional attribute setters for ImageSummary
|
| ImmutableConst
Returns immutable tensor from memory region.
|
| ImportGraphDefOptions |
| ImportGraphDefResults |
| InferenceContext |
| InitializeTable
Table initializer that takes two tensors for keys and values respectively.
|
| InitializeTableFromTextFile
Initializes a table from a text file.
|
| InitializeTableFromTextFile.Attrs
Optional attribute setters for InitializeTableFromTextFile
|
| InMemoryRunGraphRequest |
| InMemoryRunGraphResponse |
| InMemoryRunStepRequest |
| InMemoryRunStepResponse |
| InplaceAdd
Adds v into specified rows of x.
|
| InplaceSub
Subtracts
v into specified rows of x. |
| InplaceUpdate
Updates specified rows with values in
v. |
| Input
Represents a tensor value that can be used as an operand to an Operation.
|
| Input.Initializer
Initializer enables constructing an Input object from various kinds of C++
constants such as simple primitive constants and nested initializer lists
representing a multi-dimensional array.
|
| InputList
A type for representing the input to ops that require a list of tensors.
|
| InputTensor |
| InputTensor.Hash |
| InstantiationResult |
| Int64List |
| IntDataTypeTensorShapePairMap |
| InterconnectLink |
| InternalMetadataWithArena |
| IntFunctionDef_ArgAttrsMap |
| IntFunctionDef_ArgAttrsMap.Iterator |
| IntGaugeCell |
| IntIntPairVector |
| IntIntVector |
| InTopK
Says whether the targets are in the top
K predictions. |
| InTopKV2
Says whether the targets are in the top
K predictions. |
| IntStringMap |
| IntStringMap.Iterator |
| IntTensorShapeMap |
| IntTensorShapeMap.Iterator |
| Inv
Computes the reciprocal of x element-wise.
|
| InvertPermutation
Computes the inverse permutation of a tensor.
|
| IsFinite
Returns which elements of x are finite.
|
| IsInf
Returns which elements of x are Inf.
|
| IsNan
Returns which elements of x are NaN.
|
| IsValidDataType |
| IsVariableInitialized
Checks whether a tensor has been initialized.
|
| JobDef |
| KeepAliveRequest |
| KeepAliveResponse |
| KernelAndDevice |
| KernelDef |
| KernelDef_AttrConstraint |
| KernelDefBuilder |
| KernelList |
| L2Loss
L2 Loss.
|
| LabeledStepStats |
| LeakyRelu
Computes rectified linear:
max(features, features * alpha). |
| LeakyRelu.Attrs
Optional attribute setters for LeakyRelu
|
| LeakyReluGrad
Computes rectified linear gradients for a LeakyRelu operation.
|
| LeakyReluGrad.Attrs
Optional attribute setters for LeakyReluGrad
|
| LearnedUnigramCandidateSampler
Generates labels for candidate sampling with a learned unigram distribution.
|
| LearnedUnigramCandidateSampler.Attrs
Optional attribute setters for LearnedUnigramCandidateSampler
|
| Less
Returns the truth value of (x < y) element-wise.
|
| LessEqual
Returns the truth value of (x <= y) element-wise.
|
| Lgamma
Computes the log of the absolute value of
Gamma(x) element-wise. |
| LinSpace
Generates values in an interval.
|
| ListDevicesRequest |
| ListDevicesResponse |
| ListValue |
| LMDBReader
A Reader that outputs the records from a LMDB file.
|
| LMDBReader.Attrs
Optional attribute setters for LMDBReader
|
| LocalLinks |
| Log
Computes natural logarithm of x element-wise.
|
| Log1p
Computes natural logarithm of (1 + x) element-wise.
|
| LoggingRequest |
| LoggingResponse |
| LogicalAnd
Returns the truth value of x AND y element-wise.
|
| LogicalNot
Returns the truth value of NOT x element-wise.
|
| LogicalOr
Returns the truth value of x OR y element-wise.
|
| LogMatrixDeterminant
Computes the sign and the log of the absolute value of the determinant of
one or more square matrices.
|
| LogSoftmax
Computes log softmax activations.
|
| LogUniformCandidateSampler
Generates labels for candidate sampling with a log-uniform distribution.
|
| LogUniformCandidateSampler.Attrs
Optional attribute setters for LogUniformCandidateSampler
|
| LongLongPair |
| LongVector |
| LookupTableExport
Outputs all keys and values in the table.
|
| LookupTableFind
Looks up keys in a table, outputs the corresponding values.
|
| LookupTableImport
Replaces the contents of the table with the specified keys and values.
|
| LookupTableInsert
Updates the table to associates keys with values.
|
| LookupTableSize
Computes the number of elements in the given table.
|
| LoopCond
Forwards the input to the output.
|
| LRN
Local Response Normalization.
|
| LRN.Attrs
Optional attribute setters for LRN
|
| LRNGrad
Gradients for Local Response Normalization.
|
| LRNGrad.Attrs
Optional attribute setters for LRNGrad
|
| Lu
Computes the LU decomposition of one or more square matrices.
|
| Lu.Attrs
Optional attribute setters for Lu
|
| MakeCallableRequest |
| MakeCallableResponse |
| MapClear
Op removes all elements in the underlying container.
|
| MapClear.Attrs
Optional attribute setters for MapClear
|
| MapIncompleteSize
Op returns the number of incomplete elements in the underlying container.
|
| MapIncompleteSize.Attrs
Optional attribute setters for MapIncompleteSize
|
| MapPeek
Op peeks at the values at the specified key.
|
| MapPeek.Attrs
Optional attribute setters for MapPeek
|
| MapSize
Op returns the number of elements in the underlying container.
|
| MapSize.Attrs
Optional attribute setters for MapSize
|
| MapStage
Stage (key, values) in the underlying container which behaves like a hashtable.
|
| MapStage.Attrs
Optional attribute setters for MapStage
|
| MapUnstage
Op removes and returns the values associated with the key
from the underlying container.
|
| MapUnstage.Attrs
Optional attribute setters for MapUnstage
|
| MapUnstageNoKey
Op removes and returns a random (key, value)
from the underlying container.
|
| MapUnstageNoKey.Attrs
Optional attribute setters for MapUnstageNoKey
|
| MarkRecvFinishedRequest |
| MarkRecvFinishedResponse |
| MatchingFiles
Returns the set of files matching one or more glob patterns.
|
| MatMul
Multiply the matrix "a" by the matrix "b".
|
| MatMul.Attrs
Optional attribute setters for MatMul
|
| MatrixBandPart
Copy a tensor setting everything outside a central band in each innermost matrix
to zero.
|
| MatrixDeterminant
Computes the determinant of one or more square matrices.
|
| MatrixDiag
Returns a batched diagonal tensor with a given batched diagonal values.
|
| MatrixDiagPart
Returns the batched diagonal part of a batched tensor.
|
| MatrixDiagPartV2
Returns the batched diagonal part of a batched tensor.
|
| MatrixDiagV2
Returns a batched diagonal tensor with given batched diagonal values.
|
| MatrixInverse
Computes the inverse of one or more square invertible matrices or their
adjoints (conjugate transposes).
|
| MatrixInverse.Attrs
Optional attribute setters for MatrixInverse
|
| MatrixSetDiag
Returns a batched matrix tensor with new batched diagonal values.
|
| MatrixSetDiagV2
Returns a batched matrix tensor with new batched diagonal values.
|
| MatrixSolve
Solves systems of linear equations.
|
| MatrixSolve.Attrs
Optional attribute setters for MatrixSolve
|
| MatrixSolveLs
Solves one or more linear least-squares problems.
|
| MatrixSolveLs.Attrs
Optional attribute setters for MatrixSolveLs
|
| MatrixSquareRoot
Computes the matrix square root of one or more square matrices:
matmul(sqrtm(A), sqrtm(A)) = A
The input matrix should be invertible.
|
| MatrixTriangularSolve
Solves systems of linear equations with upper or lower triangular matrices by backsubstitution.
|
| MatrixTriangularSolve.Attrs
Optional attribute setters for MatrixTriangularSolve
|
| Max
Computes the maximum of elements across dimensions of a tensor.
|
| Max.Attrs
Optional attribute setters for Max
|
| Maximum
Returns the max of x and y (i.e.
|
| MaxPool
Performs max pooling on the input.
|
| MaxPool.Attrs
Optional attribute setters for MaxPool
|
| MaxPool3D
Performs 3D max pooling on the input.
|
| MaxPool3D.Attrs
Optional attribute setters for MaxPool3D
|
| MaxPool3DGrad
Computes gradients of max pooling function.
|
| MaxPool3DGrad.Attrs
Optional attribute setters for MaxPool3DGrad
|
| MaxPool3DGradGrad
Computes second-order gradients of the maxpooling function.
|
| MaxPool3DGradGrad.Attrs
Optional attribute setters for MaxPool3DGradGrad
|
| MaxPoolGrad
Computes gradients of the maxpooling function.
|
| MaxPoolGrad.Attrs
Optional attribute setters for MaxPoolGrad
|
| MaxPoolGradGrad
Computes second-order gradients of the maxpooling function.
|
| MaxPoolGradGrad.Attrs
Optional attribute setters for MaxPoolGradGrad
|
| MaxPoolGradGradV2
Computes second-order gradients of the maxpooling function.
|
| MaxPoolGradGradV2.Attrs
Optional attribute setters for MaxPoolGradGradV2
|
| MaxPoolGradGradWithArgmax
Computes second-order gradients of the maxpooling function.
|
| MaxPoolGradGradWithArgmax.Attrs
Optional attribute setters for MaxPoolGradGradWithArgmax
|
| MaxPoolGradV2
Computes gradients of the maxpooling function.
|
| MaxPoolGradV2.Attrs
Optional attribute setters for MaxPoolGradV2
|
| MaxPoolGradWithArgmax
Computes gradients of the maxpooling function.
|
| MaxPoolGradWithArgmax.Attrs
Optional attribute setters for MaxPoolGradWithArgmax
|
| MaxPoolV2
Performs max pooling on the input.
|
| MaxPoolV2.Attrs
Optional attribute setters for MaxPoolV2
|
| MaxPoolWithArgmax
Performs max pooling on the input and outputs both max values and indices.
|
| MaxPoolWithArgmax.Attrs
Optional attribute setters for MaxPoolWithArgmax
|
| Mean
Computes the mean of elements across dimensions of a tensor.
|
| Mean.Attrs
Optional attribute setters for Mean
|
| MemoryStats |
| Merge
Forwards the value of an available tensor from
inputs to output. |
| MergeSummary
Merges summaries.
|
| MergeV2Checkpoints
V2 format specific: merges the metadata files of sharded checkpoints.
|
| MergeV2Checkpoints.Attrs
Optional attribute setters for MergeV2Checkpoints
|
| MessageLite |
| MetaGraphDef |
| MetaGraphDef_MetaInfoDef |
| Mfcc
Transforms a spectrogram into a form that's useful for speech recognition.
|
| Mfcc.Attrs
Optional attribute setters for Mfcc
|
| Min
Computes the minimum of elements across dimensions of a tensor.
|
| Min.Attrs
Optional attribute setters for Min
|
| Minimum
Returns the min of x and y (i.e.
|
| MirrorPad
Pads a tensor with mirrored values.
|
| Mod
Returns element-wise remainder of division.
|
| MulNoNan
Returns x * y element-wise.
|
| Multinomial
\defgroup random_ops Random Ops
\{
|
| Multinomial.Attrs
Optional attribute setters for Multinomial
|
| Multiply
Returns x * y element-wise.
|
| MutableDenseHashTable
Creates an empty hash table that uses tensors as the backing store.
|
| MutableDenseHashTable.Attrs
Optional attribute setters for MutableDenseHashTable
|
| MutableHashTable
Creates an empty hash table.
|
| MutableHashTable.Attrs
Optional attribute setters for MutableHashTable
|
| MutableHashTableOfTensors
Creates an empty hash table.
|
| MutableHashTableOfTensors.Attrs
Optional attribute setters for MutableHashTableOfTensors
|
| MutableProtoRunGraphRequest |
| MutableProtoRunStepRequest |
| MutableRunGraphRequestWrapper |
| MutableRunGraphResponseWrapper |
| MutableRunStepRequestWrapper |
| MutableRunStepResponseWrapper |
| NameAttrList |
| NamedTensorProto |
| NamedTupleValue |
| NameRangeMap |
| Negate
Computes numerical negative value element-wise.
|
| NeighborIter |
| NeighborIterRange |
| NextAfter
Returns the next representable value of
x1 in the direction of x2, element-wise. |
| NextIteration
Makes its input available to the next iteration.
|
| Node |
| NodeBuilder |
| NodeBuilder.NodeOut |
| NodeDebugInfo |
| NodeDef |
| NodeDef_ExperimentalDebugInfo |
| NodeDefBuilder |
| NodeDefBuilder.NodeOut |
| NodeExecStats |
| NodeIndexPair |
| NodeIntPairVector |
| NodeIter |
| NodeIterRange |
| NodeOut |
| NodeOutput |
| NodeOutVector |
| NodeOutVector.Iterator |
| NodeVector |
| NodeVector.Iterator |
| NoneValue |
| NonMaxSuppression
Greedily selects a subset of bounding boxes in descending order of score,
pruning away boxes that have high intersection-over-union (IOU) overlap
with previously selected boxes.
|
| NonMaxSuppression.Attrs
Optional attribute setters for NonMaxSuppression
|
| NonMaxSuppressionV2
Greedily selects a subset of bounding boxes in descending order of score,
pruning away boxes that have high intersection-over-union (IOU) overlap
with previously selected boxes.
|
| NonMaxSuppressionV3
Greedily selects a subset of bounding boxes in descending order of score,
pruning away boxes that have high intersection-over-union (IOU) overlap
with previously selected boxes.
|
| NonMaxSuppressionV4
Greedily selects a subset of bounding boxes in descending order of score,
pruning away boxes that have high intersection-over-union (IOU) overlap
with previously selected boxes.
|
| NonMaxSuppressionV4.Attrs
Optional attribute setters for NonMaxSuppressionV4
|
| NonMaxSuppressionV5
Greedily selects a subset of bounding boxes in descending order of score,
pruning away boxes that have high intersection-over-union (IOU) overlap
with previously selected boxes.
|
| NonMaxSuppressionV5.Attrs
Optional attribute setters for NonMaxSuppressionV5
|
| NonMaxSuppressionWithOverlaps
Greedily selects a subset of bounding boxes in descending order of score,
pruning away boxes that have high overlaps
with previously selected boxes.
|
| NoOp
\defgroup no_op No Op
\{
|
| NotEqual
Returns the truth value of (x != y) element-wise.
|
| NotEqual.Attrs
Optional attribute setters for NotEqual
|
| NthElement
Finds values of the
n-th order statistic for the last dimension. |
| NthElement.Attrs
Optional attribute setters for NthElement
|
| OneHot
Returns a one-hot tensor.
|
| OneHot.Attrs
Optional attribute setters for OneHot
|
| OnesLike
Returns a tensor of ones with the same shape and type as x.
|
| OpDef |
| OpDef_ArgDef |
| OpDef_AttrDef |
| OpDefBuilder |
| OpDefVector |
| OpDefVector.Iterator |
| OpDeprecation |
| Operation
\addtogroup core
\{
|
| OpInputList |
| OpKernel |
| OpKernelConstruction |
| OpKernelContext |
| OpKernelContext.Params |
| OpKernelFactory |
| OpKernelRegistrar.Create_fn_OpKernelConstruction |
| OpList |
| OpMutableInputList |
| OpOutputList |
| OpRegistrationData |
| OpRegistry |
| OpRegistryInterface |
| OpSegment |
| OptimizerOptions |
| OrderedMapClear
Op removes all elements in the underlying container.
|
| OrderedMapClear.Attrs
Optional attribute setters for OrderedMapClear
|
| OrderedMapIncompleteSize
Op returns the number of incomplete elements in the underlying container.
|
| OrderedMapIncompleteSize.Attrs
Optional attribute setters for OrderedMapIncompleteSize
|
| OrderedMapPeek
Op peeks at the values at the specified key.
|
| OrderedMapPeek.Attrs
Optional attribute setters for OrderedMapPeek
|
| OrderedMapSize
Op returns the number of elements in the underlying container.
|
| OrderedMapSize.Attrs
Optional attribute setters for OrderedMapSize
|
| OrderedMapStage
Stage (key, values) in the underlying container which behaves like a ordered
associative container.
|
| OrderedMapStage.Attrs
Optional attribute setters for OrderedMapStage
|
| OrderedMapUnstage
Op removes and returns the values associated with the key
from the underlying container.
|
| OrderedMapUnstage.Attrs
Optional attribute setters for OrderedMapUnstage
|
| OrderedMapUnstageNoKey
Op removes and returns the (key, value) element with the smallest
key from the underlying container.
|
| OrderedMapUnstageNoKey.Attrs
Optional attribute setters for OrderedMapUnstageNoKey
|
| Output
Represents a tensor value produced by an Operation.
|
| OutputGraphNode |
| OutputHash
Hash class that can be used for e.g.
|
| OutputTensor |
| OutputTensor.Hash |
| OutputVector |
| OutputVector.Iterator |
| OwnedProtoRunGraphResponse |
| OwnedProtoRunStepResponse |
| Pad
Pads a tensor with zeros.
|
| PaddingFIFOQueue
A queue that produces elements in first-in first-out order.
|
| PaddingFIFOQueue.Attrs
Optional attribute setters for PaddingFIFOQueue
|
| PadV2
Pads a tensor.
|
| PairValue |
| ParallelConcat
Concatenates a list of
N tensors along the first dimension. |
| ParallelDynamicStitch
Interleave the values from the
data tensors into a single tensor. |
| ParameterizedTruncatedNormal
Outputs random values from a normal distribution.
|
| ParameterizedTruncatedNormal.Attrs
Optional attribute setters for ParameterizedTruncatedNormal
|
| ParamResolverInterface |
| ParseExample
Transforms a vector of brain.Example protos (as strings) into typed tensors.
|
| ParseSequenceExample
Transforms a vector of brain.SequenceExample protos (as strings) into typed tensors.
|
| ParseSequenceExample.Attrs
Optional attribute setters for ParseSequenceExample
|
| ParseSingleExample
Transforms a tf.Example proto (as a string) into typed tensors.
|
| ParseSingleSequenceExample
Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.
|
| ParseSingleSequenceExample.Attrs
Optional attribute setters for ParseSingleSequenceExample
|
| ParseTensor
Transforms a serialized tensorflow.TensorProto proto into a Tensor.
|
| PartialRunSetupRequest |
| PartialRunSetupResponse |
| PartialTensorShape
Manages the partially known dimensions of a Tensor and their sizes.
|
| PartialTensorShapeUtils
\brief Static helper routines for
PartialTensorShape. |
| PeerAccessInterface |
| PerOpGpuDevice |
| PersistentTensor |
| PerStepCollectiveRemoteAccess |
| Placeholder
A placeholder op for a value that will be fed into the computation.
|
| Placeholder.Attrs
Optional attribute setters for Placeholder
|
| PlaceholderWithDefault
A placeholder op that passes through
input when its output is not fed. |
| Polygamma
Compute the polygamma function \(\psi^{(n)}(x)\).
|
| Pow
Computes the power of one value to another.
|
| PreventGradient
An identity op that triggers an error if a gradient is requested.
|
| PreventGradient.Attrs
Optional attribute setters for PreventGradient
|
| Print
Prints a list of tensors.
|
| Print.Attrs
Optional attribute setters for Print
|
| PrintV2
Prints a string scalar.
|
| PrintV2.Attrs
Optional attribute setters for PrintV2
|
| PriorityQueue
A queue that produces elements sorted by the first component value.
|
| PriorityQueue.Attrs
Optional attribute setters for PriorityQueue
|
| ProcessFunctionLibraryRuntime |
| Prod
Computes the product of elements across dimensions of a tensor.
|
| Prod.Attrs
Optional attribute setters for Prod
|
| ProfilerInterface |
| ProfilerSession |
| Qr
Computes the QR decompositions of one or more matrices.
|
| Qr.Attrs
Optional attribute setters for Qr
|
| QuantizeAndDequantizeV2
Quantizes then dequantizes a tensor.
|
| QuantizeAndDequantizeV2.Attrs
Optional attribute setters for QuantizeAndDequantizeV2
|
| QuantizeAndDequantizeV3
Quantizes then dequantizes a tensor.
|
| QuantizeAndDequantizeV3.Attrs
Optional attribute setters for QuantizeAndDequantizeV3
|
| QuantizedAdd
Returns x + y element-wise, working on quantized buffers.
|
| QuantizedAdd.Attrs
Optional attribute setters for QuantizedAdd
|
| QuantizedAvgPool
Produces the average pool of the input tensor for quantized types.
|
| QuantizedBatchNormWithGlobalNormalization
Quantized Batch normalization.
|
| QuantizedBiasAdd
Adds Tensor 'bias' to Tensor 'input' for Quantized types.
|
| QuantizedConcat
Concatenates quantized tensors along one dimension.
|
| QuantizedConv2D
Computes a 2D convolution given quantized 4D input and filter tensors.
|
| QuantizedConv2D.Attrs
Optional attribute setters for QuantizedConv2D
|
| QuantizedConv2DAndRelu
TODO: add doc.
|
| QuantizedConv2DAndRelu.Attrs
Optional attribute setters for QuantizedConv2DAndRelu
|
| QuantizedConv2DAndReluAndRequantize
TODO: add doc.
|
| QuantizedConv2DAndReluAndRequantize.Attrs
Optional attribute setters for QuantizedConv2DAndReluAndRequantize
|
| QuantizedConv2DAndRequantize
TODO: add doc.
|
| QuantizedConv2DAndRequantize.Attrs
Optional attribute setters for QuantizedConv2DAndRequantize
|
| QuantizedConv2DPerChannel
Computes QuantizedConv2D per channel.
|
| QuantizedConv2DPerChannel.Attrs
Optional attribute setters for QuantizedConv2DPerChannel
|
| QuantizedConv2DWithBias
TODO: add doc.
|
| QuantizedConv2DWithBias.Attrs
Optional attribute setters for QuantizedConv2DWithBias
|
| QuantizedConv2DWithBiasAndRelu
TODO: add doc.
|
| QuantizedConv2DWithBiasAndRelu.Attrs
Optional attribute setters for QuantizedConv2DWithBiasAndRelu
|
| QuantizedConv2DWithBiasAndReluAndRequantize
TODO: add doc.
|
| QuantizedConv2DWithBiasAndReluAndRequantize.Attrs
Optional attribute setters for QuantizedConv2DWithBiasAndReluAndRequantize
|
| QuantizedConv2DWithBiasAndRequantize
TODO: add doc.
|
| QuantizedConv2DWithBiasAndRequantize.Attrs
Optional attribute setters for QuantizedConv2DWithBiasAndRequantize
|
| QuantizedConv2DWithBiasSignedSumAndReluAndRequantize
TODO: add doc.
|
| QuantizedConv2DWithBiasSignedSumAndReluAndRequantize.Attrs
Optional attribute setters for QuantizedConv2DWithBiasSignedSumAndReluAndRequantize
|
| QuantizedConv2DWithBiasSumAndRelu
TODO: add doc.
|
| QuantizedConv2DWithBiasSumAndRelu.Attrs
Optional attribute setters for QuantizedConv2DWithBiasSumAndRelu
|
| QuantizedConv2DWithBiasSumAndReluAndRequantize
TODO: add doc.
|
| QuantizedConv2DWithBiasSumAndReluAndRequantize.Attrs
Optional attribute setters for QuantizedConv2DWithBiasSumAndReluAndRequantize
|
| QuantizedDepthwiseConv2D
Computes quantized depthwise Conv2D.
|
| QuantizedDepthwiseConv2D.Attrs
Optional attribute setters for QuantizedDepthwiseConv2D
|
| QuantizedDepthwiseConv2DWithBias
Computes quantized depthwise Conv2D with Bias.
|
| QuantizedDepthwiseConv2DWithBias.Attrs
Optional attribute setters for QuantizedDepthwiseConv2DWithBias
|
| QuantizedDepthwiseConv2DWithBiasAndRelu
Computes quantized depthwise Conv2D with Bias and Relu.
|
| QuantizedDepthwiseConv2DWithBiasAndRelu.Attrs
Optional attribute setters for QuantizedDepthwiseConv2DWithBiasAndRelu
|
| QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize
Computes quantized depthwise Conv2D with Bias, Relu and Requantize.
|
| QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Attrs
Optional attribute setters for QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize
|
| QuantizedInstanceNorm
Quantized Instance normalization.
|
| QuantizedInstanceNorm.Attrs
Optional attribute setters for QuantizedInstanceNorm
|
| QuantizedMatMul
Perform a quantized matrix multiplication of
a by the matrix b. |
| QuantizedMatMul.Attrs
Optional attribute setters for QuantizedMatMul
|
| QuantizedMatMulWithBias
Performs a quantized matrix multiplication of
a by the matrix b with bias
add. |
| QuantizedMatMulWithBias.Attrs
Optional attribute setters for QuantizedMatMulWithBias
|
| QuantizedMatMulWithBiasAndRelu
Perform a quantized matrix multiplication of
a by the matrix b with bias
add and relu fusion. |
| QuantizedMatMulWithBiasAndRelu.Attrs
Optional attribute setters for QuantizedMatMulWithBiasAndRelu
|
| QuantizedMatMulWithBiasAndReluAndRequantize
Perform a quantized matrix multiplication of
a by the matrix b with bias
add and relu and requantize fusion. |
| QuantizedMatMulWithBiasAndReluAndRequantize.Attrs
Optional attribute setters for QuantizedMatMulWithBiasAndReluAndRequantize
|
| QuantizedMaxPool
Produces the max pool of the input tensor for quantized types.
|
| QuantizedMul
Returns x * y element-wise, working on quantized buffers.
|
| QuantizedMul.Attrs
Optional attribute setters for QuantizedMul
|
| QuantizeDownAndShrinkRange
Convert the quantized 'input' tensor into a lower-precision 'output', using the
actual distribution of the values to maximize the usage of the lower bit depth
and adjusting the output min and max ranges accordingly.
|
| QuantizedRelu
Computes Quantized Rectified Linear:
max(features, 0)
Arguments:
* scope: A Scope object
* min_features: The float value that the lowest quantized value represents. |
| QuantizedRelu.Attrs
Optional attribute setters for QuantizedRelu
|
| QuantizedRelu6
Computes Quantized Rectified Linear 6:
min(max(features, 0), 6)
Arguments:
* scope: A Scope object
* min_features: The float value that the lowest quantized value represents. |
| QuantizedRelu6.Attrs
Optional attribute setters for QuantizedRelu6
|
| QuantizedReluX
Computes Quantized Rectified Linear X:
min(max(features, 0), max_value)
Arguments:
* scope: A Scope object
* min_features: The float value that the lowest quantized value represents. |
| QuantizedReluX.Attrs
Optional attribute setters for QuantizedReluX
|
| QuantizedReshape
Reshapes a quantized tensor as per the Reshape op.
|
| QuantizedResizeBilinear
Resize quantized
images to size using quantized bilinear interpolation. |
| QuantizedResizeBilinear.Attrs
Optional attribute setters for QuantizedResizeBilinear
|
| QuantizeV2
Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
|
| QuantizeV2.Attrs
Optional attribute setters for QuantizeV2
|
| QueueClose
Closes the given queue.
|
| QueueClose.Attrs
Optional attribute setters for QueueClose
|
| QueueDequeue
Dequeues a tuple of one or more tensors from the given queue.
|
| QueueDequeue.Attrs
Optional attribute setters for QueueDequeue
|
| QueueDequeueMany
Dequeues
n tuples of one or more tensors from the given queue. |
| QueueDequeueMany.Attrs
Optional attribute setters for QueueDequeueMany
|
| QueueDequeueUpTo
Dequeues
n tuples of one or more tensors from the given queue. |
| QueueDequeueUpTo.Attrs
Optional attribute setters for QueueDequeueUpTo
|
| QueueEnqueue
Enqueues a tuple of one or more tensors in the given queue.
|
| QueueEnqueue.Attrs
Optional attribute setters for QueueEnqueue
|
| QueueEnqueueMany
Enqueues zero or more tuples of one or more tensors in the given queue.
|
| QueueEnqueueMany.Attrs
Optional attribute setters for QueueEnqueueMany
|
| QueueIsClosed
Returns true if queue is closed.
|
| QueueIsClosedV2
Returns true if queue is closed.
|
| QueueItem |
| QueueResponse |
| QueueSize
Computes the number of elements in the given queue.
|
| RandomAccessFile
A file abstraction for randomly reading the contents of a file.
|
| RandomGamma
Outputs random values from the Gamma distribution(s) described by alpha.
|
| RandomGamma.Attrs
Optional attribute setters for RandomGamma
|
| RandomNormal
Outputs random values from a normal distribution.
|
| RandomNormal.Attrs
Optional attribute setters for RandomNormal
|
| RandomPoissonV2
Outputs random values from the Poisson distribution(s) described by rate.
|
| RandomPoissonV2.Attrs
Optional attribute setters for RandomPoissonV2
|
| RandomShuffle
Randomly shuffles a tensor along its first dimension.
|
| RandomShuffle.Attrs
Optional attribute setters for RandomShuffle
|
| RandomShuffleQueue
A queue that randomizes the order of elements.
|
| RandomShuffleQueue.Attrs
Optional attribute setters for RandomShuffleQueue
|
| RandomUniform
Outputs random values from a uniform distribution.
|
| RandomUniform.Attrs
Optional attribute setters for RandomUniform
|
| RandomUniformInt
Outputs random integers from a uniform distribution.
|
| RandomUniformInt.Attrs
Optional attribute setters for RandomUniformInt
|
| Range
Creates a sequence of numbers.
|
| Rank
Returns the rank of a tensor.
|
| ReaderNumRecordsProduced
Returns the number of records this Reader has produced.
|
| ReaderNumWorkUnitsCompleted
Returns the number of work units this Reader has finished processing.
|
| ReaderRead
Returns the next record (key, value pair) produced by a Reader.
|
| ReaderReadUpTo
Returns up to
num_records (key, value) pairs produced by a Reader. |
| ReaderReset
Restore a Reader to its initial clean state.
|
| ReaderRestoreState
Restore a reader to a previously saved state.
|
| ReaderSerializeState
Produce a string tensor that encodes the state of a Reader.
|
| ReadFile
Reads and outputs the entire contents of the input filename.
|
| ReadOnlyMemoryRegion
\brief A readonly memmapped file abstraction.
|
| Real
Returns the real part of a complex number.
|
| Real.Attrs
Optional attribute setters for Real
|
| RealDiv
Returns x / y element-wise for real types.
|
| Reciprocal
Computes the reciprocal of x element-wise.
|
| RecordInput
Emits randomized records.
|
| RecordInput.Attrs
Optional attribute setters for RecordInput
|
| RecordReader.Metadata |
| RecordReader.Stats |
| RecordReaderOptions |
| RecordWriterOptions |
| RecvBufRequest |
| RecvBufResponse |
| RecvTensorRequest |
| RecvTensorResponse |
| ReduceJoin
Joins a string Tensor across the given dimensions.
|
| ReduceJoin.Attrs
Optional attribute setters for ReduceJoin
|
| RefNextIteration
Makes its input available to the next iteration.
|
| RefSelect
Forwards the
indexth element of inputs to output. |
| RefSwitch
Forwards the ref tensor
data to the output port determined by pred. |
| RegexFullMatch
Check if the input matches the regex pattern.
|
| RegexReplace
Replaces matches of the
pattern regular expression in input with the
replacement string provided in rewrite. |
| RegexReplace.Attrs
Optional attribute setters for RegexReplace
|
| RegisterFunctionRequest |
| RegisterFunctionResponse |
| RegisterGraphRequest |
| RegisterGraphResponse |
| ReleaseCallableRequest |
| ReleaseCallableResponse |
| Relu
Computes rectified linear:
max(features, 0). |
| Relu6
Computes rectified linear 6:
min(max(features, 0), 6). |
| Relu6Grad
Computes rectified linear 6 gradients for a Relu6 operation.
|
| ReluGrad
Computes rectified linear gradients for a Relu operation.
|
| RemoteContexts |
| RemoteContexts.Iterator |
| RemoteMgr |
| RemoteTensorHandle |
| RemoteTensorHandleData |
| Rendezvous |
| RendezvousMgrInterface |
| RequantizationRange
Computes a range that covers the actual values present in a quantized tensor.
|
| Requantize
Converts the quantized
input tensor into a lower-precision output. |
| ResetRequest |
| ResetResponse |
| Reshape
Reshapes a tensor.
|
| ResizeArea
Resize
images to size using area interpolation. |
| ResizeArea.Attrs
Optional attribute setters for ResizeArea
|
| ResizeBicubic
Resize
images to size using bicubic interpolation. |
| ResizeBicubic.Attrs
Optional attribute setters for ResizeBicubic
|
| ResizeBilinear
Resize
images to size using bilinear interpolation. |
| ResizeBilinear.Attrs
Optional attribute setters for ResizeBilinear
|
| ResizeNearestNeighbor
Resize
images to size using nearest neighbor interpolation. |
| ResizeNearestNeighbor.Attrs
Optional attribute setters for ResizeNearestNeighbor
|
| ResourceApplyAdadelta
Update '*var' according to the adadelta scheme.
|
| ResourceApplyAdadelta.Attrs
Optional attribute setters for ResourceApplyAdadelta
|
| ResourceApplyAdagrad
Update '*var' according to the adagrad scheme.
|
| ResourceApplyAdagrad.Attrs
Optional attribute setters for ResourceApplyAdagrad
|
| ResourceApplyAdagradDA
Update '*var' according to the proximal adagrad scheme.
|
| ResourceApplyAdagradDA.Attrs
Optional attribute setters for ResourceApplyAdagradDA
|
| ResourceApplyAdam
Update '*var' according to the Adam algorithm.
|
| ResourceApplyAdam.Attrs
Optional attribute setters for ResourceApplyAdam
|
| ResourceApplyAdamWithAmsgrad
Update '*var' according to the Adam algorithm.
|
| ResourceApplyAdamWithAmsgrad.Attrs
Optional attribute setters for ResourceApplyAdamWithAmsgrad
|
| ResourceApplyAddSign
Update '*var' according to the AddSign update.
|
| ResourceApplyAddSign.Attrs
Optional attribute setters for ResourceApplyAddSign
|
| ResourceApplyCenteredRMSProp
Update '*var' according to the centered RMSProp algorithm.
|
| ResourceApplyCenteredRMSProp.Attrs
Optional attribute setters for ResourceApplyCenteredRMSProp
|
| ResourceApplyFtrl
Update '*var' according to the Ftrl-proximal scheme.
|
| ResourceApplyFtrl.Attrs
Optional attribute setters for ResourceApplyFtrl
|
| ResourceApplyFtrlV2
Update '*var' according to the Ftrl-proximal scheme.
|
| ResourceApplyFtrlV2.Attrs
Optional attribute setters for ResourceApplyFtrlV2
|
| ResourceApplyGradientDescent
Update '*var' by subtracting 'alpha' * 'delta' from it.
|
| ResourceApplyGradientDescent.Attrs
Optional attribute setters for ResourceApplyGradientDescent
|
| ResourceApplyKerasMomentum
Update '*var' according to the momentum scheme.
|
| ResourceApplyKerasMomentum.Attrs
Optional attribute setters for ResourceApplyKerasMomentum
|
| ResourceApplyMomentum
Update '*var' according to the momentum scheme.
|
| ResourceApplyMomentum.Attrs
Optional attribute setters for ResourceApplyMomentum
|
| ResourceApplyPowerSign
Update '*var' according to the AddSign update.
|
| ResourceApplyPowerSign.Attrs
Optional attribute setters for ResourceApplyPowerSign
|
| ResourceApplyProximalAdagrad
Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
|
| ResourceApplyProximalAdagrad.Attrs
Optional attribute setters for ResourceApplyProximalAdagrad
|
| ResourceApplyProximalGradientDescent
Update '*var' as FOBOS algorithm with fixed learning rate.
|
| ResourceApplyProximalGradientDescent.Attrs
Optional attribute setters for ResourceApplyProximalGradientDescent
|
| ResourceApplyRMSProp
Update '*var' according to the RMSProp algorithm.
|
| ResourceApplyRMSProp.Attrs
Optional attribute setters for ResourceApplyRMSProp
|
| ResourceCountUpTo
Increments variable pointed to by 'resource' until it reaches 'limit'.
|
| ResourceHandle |
| ResourceHandleProto |
| ResourceHandleProto_DtypeAndShape |
| ResourceMgr |
| ResourceScatterNdAdd
Applies sparse addition to individual values or slices in a Variable.
|
| ResourceScatterNdAdd.Attrs
Optional attribute setters for ResourceScatterNdAdd
|
| ResourceScatterNdSub
Applies sparse subtraction to individual values or slices in a Variable.
|
| ResourceScatterNdSub.Attrs
Optional attribute setters for ResourceScatterNdSub
|
| ResourceScatterNdUpdate
Applies sparse
updates to individual values or slices within a given
variable according to indices. |
| ResourceScatterNdUpdate.Attrs
Optional attribute setters for ResourceScatterNdUpdate
|
| ResourceSparseApplyAdadelta
var: Should be from a Variable().
|
| ResourceSparseApplyAdadelta.Attrs
Optional attribute setters for ResourceSparseApplyAdadelta
|
| ResourceSparseApplyAdagrad
Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
|
| ResourceSparseApplyAdagrad.Attrs
Optional attribute setters for ResourceSparseApplyAdagrad
|
| ResourceSparseApplyAdagradDA
Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
|
| ResourceSparseApplyAdagradDA.Attrs
Optional attribute setters for ResourceSparseApplyAdagradDA
|
| ResourceSparseApplyCenteredRMSProp
Update '*var' according to the centered RMSProp algorithm.
|
| ResourceSparseApplyCenteredRMSProp.Attrs
Optional attribute setters for ResourceSparseApplyCenteredRMSProp
|
| ResourceSparseApplyFtrl
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
|
| ResourceSparseApplyFtrl.Attrs
Optional attribute setters for ResourceSparseApplyFtrl
|
| ResourceSparseApplyFtrlV2
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
|
| ResourceSparseApplyFtrlV2.Attrs
Optional attribute setters for ResourceSparseApplyFtrlV2
|
| ResourceSparseApplyKerasMomentum
Update relevant entries in '*var' and '*accum' according to the momentum scheme.
|
| ResourceSparseApplyKerasMomentum.Attrs
Optional attribute setters for ResourceSparseApplyKerasMomentum
|
| ResourceSparseApplyMomentum
Update relevant entries in '*var' and '*accum' according to the momentum scheme.
|
| ResourceSparseApplyMomentum.Attrs
Optional attribute setters for ResourceSparseApplyMomentum
|
| ResourceSparseApplyProximalAdagrad
Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
|
| ResourceSparseApplyProximalAdagrad.Attrs
Optional attribute setters for ResourceSparseApplyProximalAdagrad
|
| ResourceSparseApplyProximalGradientDescent
Sparse update '*var' as FOBOS algorithm with fixed learning rate.
|
| ResourceSparseApplyProximalGradientDescent.Attrs
Optional attribute setters for ResourceSparseApplyProximalGradientDescent
|
| ResourceSparseApplyRMSProp
Update '*var' according to the RMSProp algorithm.
|
| ResourceSparseApplyRMSProp.Attrs
Optional attribute setters for ResourceSparseApplyRMSProp
|
| ResourceStridedSliceAssign
Assign
value to the sliced l-value reference of ref. |
| ResourceStridedSliceAssign.Attrs
Optional attribute setters for ResourceStridedSliceAssign
|
| Restore
Restores a tensor from checkpoint files.
|
| Restore.Attrs
Optional attribute setters for Restore
|
| RestoreSlice
Restores a tensor from checkpoint files.
|
| RestoreSlice.Attrs
Optional attribute setters for RestoreSlice
|
| RestoreV2
Restores tensors from a V2 checkpoint.
|
| Reverse
Reverses specific dimensions of a tensor.
|
| ReverseSequence
Reverses variable length slices.
|
| ReverseSequence.Attrs
Optional attribute setters for ReverseSequence
|
| RewriterConfig |
| RewriterConfig_CustomGraphOptimizer |
| RGBToHSV
Converts one or more images from RGB to HSV.
|
| Rint
Returns element-wise integer closest to x.
|
| Roll
\defgroup manip_ops Manip Ops
\{
|
| Round
Rounds the values of a tensor to the nearest integer, element-wise.
|
| RPCOptions |
| Rsqrt
Computes reciprocal of square root of x element-wise.
|
| RunCallableRequest |
| RunCallableResponse |
| RunGraphRequest |
| RunGraphRequestWrapper |
| RunGraphResponse |
| RunMetadata |
| RunMetadata_FunctionGraphs |
| RunOptions |
| RunOptions_Experimental |
| RunStepRequest |
| RunStepRequestWrapper |
| RunStepResponse |
| SafeTensorId |
| SafeTensorId.Hasher |
| SafeTensorIdTensorIdMap |
| SafeTensorIdTensorIdMap.Iterator |
| SampleDistortedBoundingBox
Generate a single randomly distorted bounding box for an image.
|
| SampleDistortedBoundingBox.Attrs
Optional attribute setters for SampleDistortedBoundingBox
|
| SampleDistortedBoundingBoxV2
Generate a single randomly distorted bounding box for an image.
|
| SampleDistortedBoundingBoxV2.Attrs
Optional attribute setters for SampleDistortedBoundingBoxV2
|
| SamplerCell |
| Save
Saves the input tensors to disk.
|
| SavedAsset |
| SavedBareConcreteFunction |
| SavedConcreteFunction |
| SavedConstant |
| SavedFunction |
| SavedModelBundle
SavedModel representation once the SavedModel is loaded from storage.
|
| SavedObject |
| SavedObjectGraph |
| SavedResource |
| SavedUserObject |
| SavedVariable |
| SaverDef |
| SaveSliceInfoDef |
| SaveSlices
Saves input tensors slices to disk.
|
| SaveV2
Saves tensors in V2 checkpoint format.
|
| ScalarSummary
Outputs a
Summary protocol buffer with scalar values. |
| ScaleAndTranslate
TODO: add doc.
|
| ScaleAndTranslate.Attrs
Optional attribute setters for ScaleAndTranslate
|
| ScatterAdd
Adds sparse updates to a variable reference.
|
| ScatterAdd.Attrs
Optional attribute setters for ScatterAdd
|
| ScatterDiv
Divides a variable reference by sparse updates.
|
| ScatterDiv.Attrs
Optional attribute setters for ScatterDiv
|
| ScatterMax
Reduces sparse updates into a variable reference using the
max operation. |
| ScatterMax.Attrs
Optional attribute setters for ScatterMax
|
| ScatterMin
Reduces sparse updates into a variable reference using the
min operation. |
| ScatterMin.Attrs
Optional attribute setters for ScatterMin
|
| ScatterMul
Multiplies sparse updates into a variable reference.
|
| ScatterMul.Attrs
Optional attribute setters for ScatterMul
|
| ScatterNd
Scatter
updates into a new tensor according to indices. |
| ScatterNdAdd
Applies sparse addition to individual values or slices in a Variable.
|
| ScatterNdAdd.Attrs
Optional attribute setters for ScatterNdAdd
|
| ScatterNdNonAliasingAdd
Applies sparse addition to
input using individual values or slices
from updates according to indices indices. |
| ScatterNdSub
Applies sparse subtraction to individual values or slices in a Variable.
|
| ScatterNdSub.Attrs
Optional attribute setters for ScatterNdSub
|
| ScatterNdUpdate
Applies sparse
updates to individual values or slices within a given
variable according to indices. |
| ScatterNdUpdate.Attrs
Optional attribute setters for ScatterNdUpdate
|
| ScatterSub
Subtracts sparse updates to a variable reference.
|
| ScatterSub.Attrs
Optional attribute setters for ScatterSub
|
| ScatterUpdate
Applies sparse updates to a variable reference.
|
| ScatterUpdate.Attrs
Optional attribute setters for ScatterUpdate
|
| Scope
\addtogroup core
\{
|
| Scope.Impl |
| ScopedAllocatorMgr |
| ScopedAllocatorOptions |
| ScopedStepContainer |
| SegmentMax
Computes the maximum along segments of a tensor.
|
| SegmentMean
Computes the mean along segments of a tensor.
|
| SegmentMin
Computes the minimum along segments of a tensor.
|
| SegmentProd
Computes the product along segments of a tensor.
|
| SegmentSum
Computes the sum along segments of a tensor.
|
| SelectV2
TODO: add doc.
|
| SelfAdjointEig
Computes the eigen decomposition of one or more square self-adjoint matrices.
|
| SelfAdjointEig.Attrs
Optional attribute setters for SelfAdjointEig
|
| Selu
Computes scaled exponential linear:
scale * alpha * (exp(features) - 1)
if < 0, scale * features otherwise. |
| SeluGrad
Computes gradients for the scaled exponential linear (Selu) operation.
|
| SendTensorOp |
| SendTensorRequest |
| SendTensorResponse |
| SequenceExample |
| SerializeManySparse
Serialize an
N-minibatch SparseTensor into an [N, 3] Tensor object. |
| SerializeManySparse.Attrs
Optional attribute setters for SerializeManySparse
|
| SerializeSparse
Serialize a
SparseTensor into a [3] Tensor object. |
| SerializeSparse.Attrs
Optional attribute setters for SerializeSparse
|
| SerializeTensor
Transforms a Tensor into a serialized TensorProto proto.
|
| ServerDef |
| ServerFactory |
| ServerInterface |
| Session
\brief A Session instance lets a caller drive a TensorFlow graph
computation.
|
| SessionMetadata |
| SessionMgr |
| SessionOptions
Configuration information for a Session.
|
| SessionState |
| SetDiff1D
Computes the difference between two lists of numbers or strings.
|
| SetDiff1D.Attrs
Optional attribute setters for SetDiff1D
|
| ShapeAndType |
| ShapeHandle |
| ShapeHandlePair |
| ShapeN
Returns shape of tensors.
|
| ShapeN.Attrs
Optional attribute setters for ShapeN
|
| ShapeRefiner |
| ShardedFilename
Generate a sharded filename.
|
| ShardedFilespec
Generate a glob pattern matching all sharded file names.
|
| Sigmoid
Computes sigmoid of
x element-wise. |
| Sign
Returns an element-wise indication of the sign of a number.
|
| SignatureDef |
| Sin
Computes sine of x element-wise.
|
| Sinh
Computes hyperbolic sine of x element-wise.
|
| Size
Returns the size of a tensor.
|
| Size.Attrs
Optional attribute setters for Size
|
| Slice
Return a slice from 'input'.
|
| Snapshot
Returns a copy of the input tensor.
|
| Softmax
Computes softmax activations.
|
| SoftmaxCrossEntropyWithLogits
Computes softmax cross entropy cost and gradients to backpropagate.
|
| Softplus
Computes softplus:
log(exp(features) + 1). |
| SoftplusGrad
Computes softplus gradients for a softplus operation.
|
| Softsign
Computes softsign:
features / (abs(features) + 1). |
| SoftsignGrad
Computes softsign gradients for a softsign operation.
|
| SpaceToBatch
SpaceToBatch for 4-D tensors of type T.
|
| SpaceToBatchND
SpaceToBatch for N-D tensors of type T.
|
| SpaceToDepth
SpaceToDepth for tensors of type T.
|
| SpaceToDepth.Attrs
Optional attribute setters for SpaceToDepth
|
| SparseAccumulatorApplyGradient
Applies a sparse gradient to a given accumulator.
|
| SparseAccumulatorTakeGradient
Extracts the average sparse gradient in a SparseConditionalAccumulator.
|
| SparseAdd
Adds two
SparseTensor objects to produce another SparseTensor. |
| SparseAddGrad
The gradient operator for the SparseAdd op.
|
| SparseApplyAdadelta
var: Should be from a Variable().
|
| SparseApplyAdadelta.Attrs
Optional attribute setters for SparseApplyAdadelta
|
| SparseApplyAdagrad
Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
|
| SparseApplyAdagrad.Attrs
Optional attribute setters for SparseApplyAdagrad
|
| SparseApplyAdagradDA
Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
|
| SparseApplyAdagradDA.Attrs
Optional attribute setters for SparseApplyAdagradDA
|
| SparseApplyCenteredRMSProp
Update '*var' according to the centered RMSProp algorithm.
|
| SparseApplyCenteredRMSProp.Attrs
Optional attribute setters for SparseApplyCenteredRMSProp
|
| SparseApplyFtrl
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
|
| SparseApplyFtrl.Attrs
Optional attribute setters for SparseApplyFtrl
|
| SparseApplyFtrlV2
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
|
| SparseApplyFtrlV2.Attrs
Optional attribute setters for SparseApplyFtrlV2
|
| SparseApplyMomentum
Update relevant entries in '*var' and '*accum' according to the momentum scheme.
|
| SparseApplyMomentum.Attrs
Optional attribute setters for SparseApplyMomentum
|
| SparseApplyProximalAdagrad
Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
|
| SparseApplyProximalAdagrad.Attrs
Optional attribute setters for SparseApplyProximalAdagrad
|
| SparseApplyProximalGradientDescent
Sparse update '*var' as FOBOS algorithm with fixed learning rate.
|
| SparseApplyProximalGradientDescent.Attrs
Optional attribute setters for SparseApplyProximalGradientDescent
|
| SparseApplyRMSProp
Update '*var' according to the RMSProp algorithm.
|
| SparseApplyRMSProp.Attrs
Optional attribute setters for SparseApplyRMSProp
|
| SparseConcat
Concatenates a list of
SparseTensor along the specified dimension. |
| SparseConditionalAccumulator
A conditional accumulator for aggregating sparse gradients.
|
| SparseConditionalAccumulator.Attrs
Optional attribute setters for SparseConditionalAccumulator
|
| SparseCross
Generates sparse cross from a list of sparse and dense tensors.
|
| SparseDenseCwiseAdd
Adds up a SparseTensor and a dense Tensor, using these special rules:
(1) Broadcasts the dense side to have the same shape as the sparse side, if
eligible;
(2) Then, only the dense values pointed to by the indices of the SparseTensor
participate in the cwise addition.
|
| SparseDenseCwiseDiv
Component-wise divides a SparseTensor by a dense Tensor.
|
| SparseDenseCwiseMul
Component-wise multiplies a SparseTensor by a dense Tensor.
|
| SparseFillEmptyRows
Fills empty rows in the input 2-D
SparseTensor with a default value. |
| SparseFillEmptyRowsGrad
The gradient of SparseFillEmptyRows.
|
| SparseMatMul
Multiply matrix "a" by matrix "b".
|
| SparseMatMul.Attrs
Optional attribute setters for SparseMatMul
|
| SparseReduceMax
Computes the max of elements across dimensions of a SparseTensor.
|
| SparseReduceMax.Attrs
Optional attribute setters for SparseReduceMax
|
| SparseReduceMaxSparse
Computes the max of elements across dimensions of a SparseTensor.
|
| SparseReduceMaxSparse.Attrs
Optional attribute setters for SparseReduceMaxSparse
|
| SparseReduceSum
Computes the sum of elements across dimensions of a SparseTensor.
|
| SparseReduceSum.Attrs
Optional attribute setters for SparseReduceSum
|
| SparseReduceSumSparse
Computes the sum of elements across dimensions of a SparseTensor.
|
| SparseReduceSumSparse.Attrs
Optional attribute setters for SparseReduceSumSparse
|
| SparseReorder
Reorders a SparseTensor into the canonical, row-major ordering.
|
| SparseReshape
Reshapes a SparseTensor to represent values in a new dense shape.
|
| SparseSegmentMean
Computes the mean along sparse segments of a tensor.
|
| SparseSegmentMeanGrad
Computes gradients for SparseSegmentMean.
|
| SparseSegmentMeanWithNumSegments
Computes the mean along sparse segments of a tensor.
|
| SparseSegmentSqrtN
Computes the sum along sparse segments of a tensor divided by the sqrt of N.
|
| SparseSegmentSqrtNGrad
Computes gradients for SparseSegmentSqrtN.
|
| SparseSegmentSqrtNWithNumSegments
Computes the sum along sparse segments of a tensor divided by the sqrt of N.
|
| SparseSegmentSum
Computes the sum along sparse segments of a tensor.
|
| SparseSegmentSumWithNumSegments
Computes the sum along sparse segments of a tensor.
|
| SparseSlice
Slice a
SparseTensor based on the start and size. |
| SparseSliceGrad
The gradient operator for the SparseSlice op.
|
| SparseSoftmax
Applies softmax to a batched N-D
SparseTensor. |
| SparseSoftmaxCrossEntropyWithLogits
Computes softmax cross entropy cost and gradients to backpropagate.
|
| SparseSparseMaximum
Returns the element-wise max of two SparseTensors.
|
| SparseSparseMinimum
Returns the element-wise min of two SparseTensors.
|
| SparseSplit
Split a
SparseTensor into num_split tensors along one dimension. |
| SparseTensorDenseAdd
Adds up a
SparseTensor and a dense Tensor, producing a dense Tensor. |
| SparseTensorDenseMatMul
Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
|
| SparseTensorDenseMatMul.Attrs
Optional attribute setters for SparseTensorDenseMatMul
|
| SparseToDense
Converts a sparse representation into a dense tensor.
|
| SparseToDense.Attrs
Optional attribute setters for SparseToDense
|
| Split
Splits a tensor into
num_split tensors along one dimension. |
| SplitV
Splits a tensor into
num_split tensors along one dimension. |
| Sqrt
Computes square root of x element-wise.
|
| Square
Computes square of x element-wise.
|
| SquaredDifference
Returns (x - y)(x - y) element-wise.
|
| Squeeze
Removes dimensions of size 1 from the shape of a tensor.
|
| Squeeze.Attrs
Optional attribute setters for Squeeze
|
| Stack
Packs a list of
N rank-R tensors into one rank-(R+1) tensor. |
| Stack.Attrs
Optional attribute setters for Stack
|
| Stage
Stage values similar to a lightweight Enqueue.
|
| Stage.Attrs
Optional attribute setters for Stage
|
| StageClear
Op removes all elements in the underlying container.
|
| StageClear.Attrs
Optional attribute setters for StageClear
|
| StagePeek
Op peeks at the values at the specified index.
|
| StagePeek.Attrs
Optional attribute setters for StagePeek
|
| StageSize
Op returns the number of elements in the underlying container.
|
| StageSize.Attrs
Optional attribute setters for StageSize
|
| Status
\ingroup core
Denotes success or failure of a call in Tensorflow.
|
| StatusGroup |
| StepSequence |
| StepSequenceInterface |
| StepStats |
| StepStatsCollectorInterface |
| StopGradient
Stops gradient computation.
|
| Stream |
| StridedSlice
Return a strided slice from
input. |
| StridedSlice.Attrs
Optional attribute setters for StridedSlice
|
| StridedSliceAssign
Assign
value to the sliced l-value reference of ref. |
| StridedSliceAssign.Attrs
Optional attribute setters for StridedSliceAssign
|
| StridedSliceGrad
Returns the gradient of
StridedSlice. |
| StridedSliceGrad.Attrs
Optional attribute setters for StridedSliceGrad
|
| StringArray |
| StringAttrPairVector |
| StringAttrValueMap |
| StringAttrValueMap.Iterator |
| StringCollectionDefMap |
| StringCollectionDefMap.Iterator |
| StringFeatureListMap |
| StringFeatureListMap.Iterator |
| StringFeatureMap |
| StringFeatureMap.Iterator |
| StringFlatSet |
| StringFlatSet.Iterator |
| StringFormat
Formats a string template using a list of tensors.
|
| StringFormat.Attrs
Optional attribute setters for StringFormat
|
| StringGaugeCell |
| StringIntMap |
| StringIntMap.Iterator |
| StringIntPair |
| StringIntUnorderedMap |
| StringIntUnorderedMap.Iterator |
| StringJoin
Joins the strings in the given list of string tensors into one tensor;
with the given separator (default is an empty separator).
|
| StringJoin.Attrs
Optional attribute setters for StringJoin
|
| StringLength
String lengths of
input. |
| StringLength.Attrs
Optional attribute setters for StringLength
|
| StringList |
| StringList.Iterator |
| StringLower
TODO: add doc.
|
| StringLower.Attrs
Optional attribute setters for StringLower
|
| StringNGrams
Creates ngrams from ragged string data.
|
| StringNodeMap |
| StringNodeMap.Iterator |
| StringPieceIntPair |
| StringPieceVector |
| StringPieceVector.Iterator |
| StringSavedConcreteFunctionMap |
| StringSavedConcreteFunctionMap.Iterator |
| StringSet |
| StringSet.Iterator |
| StringSignatureDefMap |
| StringSignatureDefMap.Iterator |
| StringSliceInfoMap |
| StringSliceInfoMap.Iterator |
| StringSplit
Split elements of
input based on delimiter into a SparseTensor. |
| StringSplit.Attrs
Optional attribute setters for StringSplit
|
| StringSplitV2
Split elements of
source based on sep into a SparseTensor. |
| StringSplitV2.Attrs
Optional attribute setters for StringSplitV2
|
| StringStringMap |
| StringStringMap.Iterator |
| StringStringPairVector |
| StringStrip
Strip leading and trailing whitespaces from the Tensor.
|
| StringStructuredValueMap |
| StringStructuredValueMap.Iterator |
| StringTensorInfoMap |
| StringTensorInfoMap.Iterator |
| StringTensorPairVector |
| StringTensorSliceSetMap |
| StringTensorSliceSetMap.Iterator |
| StringToHashBucket
Converts each string in the input Tensor to its hash mod by a number of buckets.
|
| StringToHashBucketFast
Converts each string in the input Tensor to its hash mod by a number of buckets.
|
| StringToHashBucketStrong
Converts each string in the input Tensor to its hash mod by a number of buckets.
|
| StringToNumber
Converts each string in the input Tensor to the specified numeric type.
|
| StringToNumber.Attrs
Optional attribute setters for StringToNumber
|
| StringUnorderedSet |
| StringUnorderedSet.Iterator |
| StringUpper
TODO: add doc.
|
| StringUpper.Attrs
Optional attribute setters for StringUpper
|
| StringVector |
| StringVector.Iterator |
| StructuredValue |
| Substr
Return substrings from
Tensor of strings. |
| Substr.Attrs
Optional attribute setters for Substr
|
| Subtract
Returns x - y element-wise.
|
| Sum
Computes the sum of elements across dimensions of a tensor.
|
| Sum.Attrs
Optional attribute setters for Sum
|
| Summary |
| Summary_Audio |
| Summary_Image |
| Summary_Value |
| SummaryDescription |
| SummaryMetadata |
| SummaryMetadata_PluginData |
| Svd
Computes the singular value decompositions of one or more matrices.
|
| Svd.Attrs
Optional attribute setters for Svd
|
| Switch
Forwards
data to the output port determined by pred. |
| TakeManySparseFromTensorsMap
Read
SparseTensors from a SparseTensorsMap and concatenate them. |
| TakeManySparseFromTensorsMap.Attrs
Optional attribute setters for TakeManySparseFromTensorsMap
|
| Tan
Computes tan of x element-wise.
|
| Tanh
Computes hyperbolic tangent of
x element-wise. |
| TemporaryVariable
Returns a tensor that may be mutated, but only persists within a single step.
|
| TemporaryVariable.Attrs
Optional attribute setters for TemporaryVariable
|
| Tensor
Represents an n-dimensional array of values.
|
| TensorArray
An array of Tensors of given size.
|
| TensorArray.Attrs
Optional attribute setters for TensorArray
|
| TensorArrayClose
Delete the TensorArray from its resource container.
|
| TensorArrayConcat
Concat the elements from the TensorArray into value
value. |
| TensorArrayConcat.Attrs
Optional attribute setters for TensorArrayConcat
|
| TensorArrayGather
Gather specific elements from the TensorArray into output
value. |
| TensorArrayGather.Attrs
Optional attribute setters for TensorArrayGather
|
| TensorArrayGrad
Creates a TensorArray for storing the gradients of values in the given handle.
|
| TensorArrayGradWithShape
Creates a TensorArray for storing multiple gradients of values in the given handle.
|
| TensorArrayRead
Read an element from the TensorArray into output
value. |
| TensorArrayScatter
Scatter the data from the input value into specific TensorArray elements.
|
| TensorArraySize
Get the current size of the TensorArray.
|
| TensorArraySplit
Split the data from the input value into TensorArray elements.
|
| TensorArrayWrite
Push an element onto the tensor_array.
|
| TensorBuffer
\ingroup core
|
| TensorCApi |
| TensorConnection |
| TensorDescription |
| TensorHandle |
| TensorHandleData |
| TensorHandleTF_OutputPairVector |
| TensorHandleVector |
| TensorId |
| TensorId.Hasher |
| TensorIdTensorIdMap |
| TensorIdTensorIdMap.Iterator |
| TensorInfo |
| TensorInfo_CompositeTensor |
| TensorInfo_CooSparse |
| TensorListConcat
Concats all tensors in the list along the 0th dimension.
|
| TensorListConcat.Attrs
Optional attribute setters for TensorListConcat
|
| TensorListConcatLists
TODO: add doc.
|
| TensorListConcatV2
Concats all tensors in the list along the 0th dimension.
|
| TensorListElementShape
The shape of the elements of the given list, as a tensor.
|
| TensorListFromTensor
Creates a TensorList which, when stacked, has the value of
tensor. |
| TensorListGather
Creates a Tensor by indexing into the TensorList.
|
| TensorListGetItem
TODO: add doc.
|
| TensorListLength
Returns the number of tensors in the input tensor list.
|
| TensorListPopBack
Returns the last element of the input list as well as a list with all but that element.
|
| TensorListPushBack
Returns a list which has the passed-in
Tensor as last element and the other elements of the given list in input_handle. |
| TensorListPushBackBatch
TODO: add doc.
|
| TensorListReserve
List of the given size with empty elements.
|
| TensorListResize
Resizes the list.
|
| TensorListScatter
Creates a TensorList by indexing into a Tensor.
|
| TensorListScatterIntoExistingList
Scatters tensor at indices in an input list.
|
| TensorListScatterV2
Creates a TensorList by indexing into a Tensor.
|
| TensorListSetItem
TODO: add doc.
|
| TensorListSplit
Splits a tensor into a list.
|
| TensorListStack
Stacks all tensors in the list.
|
| TensorListStack.Attrs
Optional attribute setters for TensorListStack
|
| TensorProto |
| TensorProtoVector |
| TensorProtoVector.Iterator |
| TensorReference |
| TensorResponse |
| TensorScatterAdd
Adds sparse
updates to an existing tensor according to indices. |
| TensorScatterSub
Subtracts sparse
updates from an existing tensor according to indices. |
| TensorScatterUpdate
Scatter
updates into an existing tensor according to indices. |
| TensorShape
Represents the shape of a Tensor.
|
| TensorShapeBase
Base class for TensorShape and PartialTensorShape.
|
| TensorShapeDim
Represents the value of one dimension in a TensorShape.
|
| TensorShapeIter |
| TensorShapeProto |
| TensorShapeProto_Dim |
| TensorShapeProtoVector |
| TensorShapeProtoVector.Iterator |
| TensorShapeRep
Internal representation for both TensorShape and PartialTensorShape.
|
| TensorShapeUtils
\brief Static helper routines for
TensorShape. |
| TensorShapeVector |
| TensorShapeVector.Iterator |
| TensorSlice |
| TensorSliceProto |
| TensorSliceProto_Extent |
| TensorSliceReaderCacheWrapper |
| TensorSliceSet |
| TensorSliceSet.SliceInfo |
| TensorSlideStringPair |
| TensorSpecProto |
| TensorStore |
| TensorStore.TensorAndKey |
| TensorStridedSliceUpdate
Assign
value to the sliced l-value reference of input. |
| TensorStridedSliceUpdate.Attrs
Optional attribute setters for TensorStridedSliceUpdate
|
| TensorSummary
Outputs a
Summary protocol buffer with a tensor. |
| TensorSummary.Attrs
Optional attribute setters for TensorSummary
|
| TensorSummaryV2
Outputs a
Summary protocol buffer with a tensor and per-plugin data. |
| TensorValue |
| TensorValueVector |
| TensorVector |
| TensorVector.Iterator |
| TextLineReader
A Reader that outputs the lines of a file delimited by '\n'.
|
| TextLineReader.Attrs
Optional attribute setters for TextLineReader
|
| TF_ApiDefMap |
| TF_AttrMetadata |
| TF_Buffer |
| TF_Buffer.Data_deallocator_Pointer_long |
| TF_DeprecatedSession |
| TF_DeviceList |
| TF_FileStatistics |
| TF_Function |
| TF_Graph |
| TF_ImportGraphDefOptions |
| TF_ImportGraphDefResults |
| TF_Input |
| TF_Library |
| TF_Operation |
| TF_OperationDescription |
| TF_OpKernelConstruction |
| TF_OpKernelContext |
| TF_Output |
| TF_OutputTensorHandleMap |
| TF_OutputTensorHandleMap.Iterator |
| TF_Server |
| TF_Session |
| TF_SessionOptions |
| TF_SessionStringMap |
| TF_SessionStringMap.Iterator |
| TF_ShapeInferenceContext |
| TF_Status |
| TF_Tensor |
| TF_ThreadOptions |
| TF_WhileParams |
| TFE_CancellationManager |
| TFE_Context |
| TFE_ContextOptions |
| TFE_Executor |
| TFE_MonitoringBuckets |
| TFE_Op |
| TFE_OpInferenceContext |
| TFE_Profiler |
| TFE_TensorDebugInfo |
| TFE_TensorHandle |
| TFE_TraceContext |
| TFRecordReader
A Reader that outputs the records from a TensorFlow Records file.
|
| TFRecordReader.Attrs
Optional attribute setters for TFRecordReader
|
| Thread
Represents a thread used to run a Tensorflow function.
|
| ThreadOptions
\brief Options to configure a Thread.
|
| ThreadPool |
| ThreadPoolDevice |
| ThreadPoolOptionProto |
| ThreadPoolOptions |
| Tile
Constructs a tensor by tiling a given tensor.
|
| Timestamp
Provides the time since epoch in seconds.
|
| TopK
Finds values and indices of the
k largest elements for the last dimension. |
| TopK.Attrs
Optional attribute setters for TopK
|
| TraceOpts |
| TracingRequest |
| TracingResponse |
| TrackableObjectGraph |
| TrackableObjectGraph_TrackableObject |
| TrackableObjectGraph_TrackableObject_ObjectReference |
| TrackableObjectGraph_TrackableObject_SerializedTensor |
| TrackableObjectGraph_TrackableObject_SlotVariableReference |
| TrackingAllocator |
| Transpose
Shuffle dimensions of x according to a permutation.
|
| TrueOpDefBuilderWrapper |
| TrueOpDefBuilderWrapper.Fn_InferenceContext |
| TruncateDiv
Returns x / y element-wise for integer types.
|
| TruncatedNormal
Outputs random values from a truncated normal distribution.
|
| TruncatedNormal.Attrs
Optional attribute setters for TruncatedNormal
|
| TruncateMod
Returns element-wise remainder of division.
|
| TupleValue |
| TypeSpecProto |
| UnicodeScript
Determine the script codes of a given tensor of Unicode integer code points.
|
| UnicodeTranscode
Transcode the input text from a source encoding to a destination encoding.
|
| UnicodeTranscode.Attrs
Optional attribute setters for UnicodeTranscode
|
| UniformCandidateSampler
Generates labels for candidate sampling with a uniform distribution.
|
| UniformCandidateSampler.Attrs
Optional attribute setters for UniformCandidateSampler
|
| Unique
Finds unique elements in a 1-D tensor.
|
| Unique.Attrs
Optional attribute setters for Unique
|
| UniqueV2
Finds unique elements along an axis of a tensor.
|
| UniqueV2.Attrs
Optional attribute setters for UniqueV2
|
| UniqueWithCounts
Finds unique elements in a 1-D tensor.
|
| UniqueWithCounts.Attrs
Optional attribute setters for UniqueWithCounts
|
| UniqueWithCountsV2
Finds unique elements along an axis of a tensor.
|
| UniqueWithCountsV2.Attrs
Optional attribute setters for UniqueWithCountsV2
|
| UnknownField |
| UnknownField.LengthDelimited |
| UnknownFieldSet |
| UnravelIndex
Converts an array of flat indices into a tuple of coordinate arrays.
|
| UnshapedRemoteTensorHandleData |
| UnsortedSegmentJoin
Joins the elements of
inputs based on segment_ids. |
| UnsortedSegmentJoin.Attrs
Optional attribute setters for UnsortedSegmentJoin
|
| UnsortedSegmentMax
Computes the maximum along segments of a tensor.
|
| UnsortedSegmentMin
Computes the minimum along segments of a tensor.
|
| UnsortedSegmentProd
Computes the product along segments of a tensor.
|
| UnsortedSegmentSum
Computes the sum along segments of a tensor.
|
| Unstack
Unpacks a given dimension of a rank-
R tensor into num rank-(R-1) tensors. |
| Unstack.Attrs
Optional attribute setters for Unstack
|
| Unstage
Op is similar to a lightweight Dequeue.
|
| Unstage.Attrs
Optional attribute setters for Unstage
|
| Variable
Holds state in the form of a tensor that persists across steps.
|
| Variable.Attrs
Optional attribute setters for Variable
|
| VariableDef |
| VariantTensorDataProto |
| VarToDataTypeMap |
| VarToDataTypeMap.Iterator |
| VarToShapeMap |
| VarToShapeMap.Iterator |
| VerifierConfig |
| VersionDef |
| WaitQueueDoneRequest |
| WaitQueueDoneResponse |
| Where
Returns locations of nonzero / true values in a tensor.
|
| Where3
Selects elements from
x or y, depending on condition. |
| WhileContext |
| WholeFileReader
A Reader that outputs the entire contents of a file as a value.
|
| WholeFileReader.Attrs
Optional attribute setters for WholeFileReader
|
| WorkerCacheInterface |
| WorkerEnv |
| WorkerInterface |
| WorkerSession |
| WrappedAllocator |
| WrappedAllocatorVector |
| WritableFile
\brief A file abstraction for sequential writing.
|
| WriteFile
Writes contents to the file at input filename.
|
| Xdivy
Returns 0 if x == 0, and x / y otherwise, elementwise.
|
| Xlogy
Returns 0 if x == 0, and x * log(y) otherwise, elementwise.
|
| ZeroCopyInputStream |
| ZeroCopyOutputStream |
| ZerosLike
Returns a tensor of zeros with the same shape and type as x.
|
| Zeta
Compute the Hurwitz zeta function \(\zeta(x, q)\).
|
| ZlibCompressionOptions |
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