Class | Description |
---|---|
Abort |
\defgroup control_flow_ops Control Flow Ops
\{
|
Abort.Attrs |
Optional attribute setters for Abort
|
Abs |
\defgroup math_ops Math Ops
\{
|
AbstractSession | |
AbstractSession.DeleteDeallocator | |
AbstractTensor | |
AbstractTF_Buffer | |
AbstractTF_Buffer.DeleteDeallocator | |
AbstractTF_Graph | |
AbstractTF_Graph.DeleteDeallocator | |
AbstractTF_ImportGraphDefOptions | |
AbstractTF_ImportGraphDefOptions.DeleteDeallocator | |
AbstractTF_Session | |
AbstractTF_Session.DeleteDeallocator | |
AbstractTF_SessionOptions | |
AbstractTF_SessionOptions.DeleteDeallocator | |
AbstractTF_Status | |
AbstractTF_Status.DeleteDeallocator | |
AbstractTF_Tensor | |
AbstractTF_Tensor.DeleteDeallocator | |
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 | |
AllocatorWrapper | |
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
|
AnyMetadata | |
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 | |
ArenaStringPtr | |
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 | |
BundleReader | |
BundleWriter | |
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.
|
ChannelCache | |
CheckNumerics |
Checks a tensor for NaN and Inf values.
|
CheckpointReader | |
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 | |
CollectiveRegistration | |
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
|
Compute_func_Pointer_TF_OpKernelContext | |
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.
|
Condition | |
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'.
|
Create_func_TF_OpKernelConstruction | |
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 . |
Delete_func_Pointer | |
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 | |
EdgeSetTest | |
EdgeVector | |
EdgeVector.Iterator | |
EditDistance |
Computes the (possibly normalized) Levenshtein Edit Distance.
|
EditDistance.Attrs |
Optional attribute setters for EditDistance
|
EigenEnvironment | |
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.
|
EnvWrapper |
\brief An implementation of Env that forwards all calls to another Env.
|
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
|
FileOutputBuffer | |
FileStatistics | |
FileSystem |
A generic interface for accessing a file system.
|
FileSystemRegistry |
\brief A registry for file system implementations.
|
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 | |
FunctionCallFrame | |
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 | |
GraphDefBuilder.Options | |
GraphEdgesIterable | |
GraphEdgesIterable.const_iterator | |
GraphMgr | |
GraphOptions | |
GraphProperties | |
GraphRunner | |
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.
|
InputStreamInterface | |
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 | |
KernelAndDeviceFunc | |
KernelAndDeviceOp | |
KernelDef | |
KernelDef_AttrConstraint | |
KernelDefBuilder | |
KernelList | |
L2Loss |
L2 Loss.
|
LabeledStepStats | |
LazyField | |
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 | |
Listener_BytePointer | |
Listener_String | |
ListValue | |
LMDBReader |
A Reader that outputs the records from a LMDB file.
|
LMDBReader.Attrs |
Optional attribute setters for LMDBReader
|
LocalLinks | |
LocalTensorHandleData | |
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 | |
MessageSetFieldSkipperUsingCord | |
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 | |
NodeProperties | |
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.
|
NonOwnedProtoRunGraphResponse | |
NonOwnedProtoRunStepResponse | |
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 | |
OpDefBuilderReceiver | |
OpDefVector | |
OpDefVector.Iterator | |
OpDeprecation | |
Operation |
\addtogroup core
\{
|
OpInputList | |
OpKernel | |
OpKernelConstruction | |
OpKernelContext | |
OpKernelContext.Params | |
OpKernelFactory | |
OpKernelRegistrar | |
OpKernelRegistrar.Create_fn_OpKernelConstruction | |
OpList | |
OpListOpRegistry | |
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 | |
ParseContext | |
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
|
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
|
ProfilerFactory | |
ProfilerInterface | |
ProfilerSession | |
ProtoRunGraphRequest | |
ProtoRunStepRequest | |
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 | |
RecordReader.Metadata | |
RecordReader.Stats | |
RecordReaderOptions | |
RecordWriter | |
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
index th 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 | |
RegisterKernelName | |
RegisterKernelSystemName | |
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 | |
RepeatedPtrFieldBase | |
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 | |
RunMetadataListener | |
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 | |
SequentialRecordReader | |
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
|
Shape | |
Shape_inference_func_TF_ShapeInferenceContext_TF_Status | |
ShapeAndType | |
ShapeHandle | |
ShapeHandlePair | |
ShapeN |
Returns shape of tensors.
|
ShapeN.Attrs |
Optional attribute setters for ShapeN
|
ShapeRefiner | |
ShapeRefinerTest | |
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 | |
StringListDecoder | |
StringListEncoder | |
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 | |
SubAllocator | |
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 . |
SyclDevice | |
SymbolicShapeManager | |
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 | |
TensorCord | |
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 | |
TensorSliceReader | |
TensorSliceReader.Table | |
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_DimensionHandle | |
TF_FileStatistics | |
TF_Function | |
TF_FunctionOptions | |
TF_Graph | |
TF_ImportGraphDefOptions | |
TF_ImportGraphDefResults | |
TF_Input | |
TF_KernelBuilder | |
TF_Library | |
TF_OpDefinitionBuilder | |
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_ShapeHandle | |
TF_ShapeInferenceContext | |
TF_Status | |
TF_StringStream | |
TF_Tensor | |
TF_Thread | |
TF_ThreadOptions | |
TF_WhileParams | |
TF_WritableFileHandle | |
TFE_CancellationManager | |
TFE_Context | |
TFE_ContextOptions | |
TFE_Executor | |
TFE_MonitoringBoolGauge0 | |
TFE_MonitoringBoolGauge1 | |
TFE_MonitoringBoolGauge2 | |
TFE_MonitoringBoolGaugeCell | |
TFE_MonitoringBuckets | |
TFE_MonitoringCounter0 | |
TFE_MonitoringCounter1 | |
TFE_MonitoringCounter2 | |
TFE_MonitoringCounterCell | |
TFE_MonitoringIntGauge0 | |
TFE_MonitoringIntGauge1 | |
TFE_MonitoringIntGauge2 | |
TFE_MonitoringIntGaugeCell | |
TFE_MonitoringSampler0 | |
TFE_MonitoringSampler1 | |
TFE_MonitoringSampler2 | |
TFE_MonitoringSamplerCell | |
TFE_MonitoringStringGauge0 | |
TFE_MonitoringStringGauge1 | |
TFE_MonitoringStringGauge2 | |
TFE_MonitoringStringGaugeCell | |
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
|
Var | |
Variable |
Holds state in the form of a tensor that persists across steps.
|
Variable.Attrs |
Optional attribute setters for Variable
|
VariableDef | |
Variant | |
VariantTensorDataProto | |
VarToDataTypeMap | |
VarToDataTypeMap.Iterator | |
VarToShapeMap | |
VarToShapeMap.Iterator | |
VerifierConfig | |
VersionDef | |
WaitQueueDoneRequest | |
WaitQueueDoneResponse | |
WeakFieldMap | |
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
|
WireFormat | |
WireFormatLite | |
Work_func_Pointer | |
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.
|
XlaOpKernelContext | |
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 | |
ZlibOutputBuffer |
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