| Package | Description |
|---|---|
| org.bytedeco.javacpp | |
| org.bytedeco.javacpp.helper |
| Class and Description |
|---|
| tensorflow.Abort
\defgroup control_flow_ops Control Flow Ops
\{
|
| tensorflow.Abort.Attrs
Optional attribute setters for Abort
|
| tensorflow.Abs
\defgroup math_ops Math Ops
\{
|
| tensorflow.AccumulateNV2
Returns the element-wise sum of a list of tensors.
|
| tensorflow.AccumulatorApplyGradient
\defgroup data_flow_ops Data Flow Ops
\{
|
| tensorflow.AccumulatorNumAccumulated
Returns the number of gradients aggregated in the given accumulators.
|
| tensorflow.AccumulatorSetGlobalStep
Updates the accumulator with a new value for global_step.
|
| tensorflow.AccumulatorTakeGradient
Extracts the average gradient in the given ConditionalAccumulator.
|
| tensorflow.Acos
Computes acos of x element-wise.
|
| tensorflow.Acosh
Computes inverse hyperbolic cosine of x element-wise.
|
| tensorflow.Add
Returns x + y element-wise.
|
| tensorflow.AddManySparseToTensorsMap
\defgroup sparse_ops Sparse Ops
\{
|
| tensorflow.AddManySparseToTensorsMap.Attrs
Optional attribute setters for AddManySparseToTensorsMap
|
| tensorflow.AddN
Add all input tensors element wise.
|
| tensorflow.AddSparseToTensorsMap
Add a
SparseTensor to a SparseTensorsMap return its handle. |
| tensorflow.AddSparseToTensorsMap.Attrs
Optional attribute setters for AddSparseToTensorsMap
|
| tensorflow.AddV2
Returns x + y element-wise.
|
| tensorflow.AdjustContrast
\defgroup image_ops Image Ops
\{
|
| tensorflow.AdjustHue
Adjust the hue of one or more images.
|
| tensorflow.AdjustSaturation
Adjust the saturation of one or more images.
|
| tensorflow.All
Computes the "logical and" of elements across dimensions of a tensor.
|
| tensorflow.All.Attrs
Optional attribute setters for All
|
| tensorflow.AllCandidateSampler
\defgroup candidate_sampling_ops Candidate Sampling Ops
\{
|
| tensorflow.AllCandidateSampler.Attrs
Optional attribute setters for AllCandidateSampler
|
| tensorflow.AllocationAttributes |
| tensorflow.AllocationDescription |
| tensorflow.AllocationRecord |
| tensorflow.Allocator |
| tensorflow.AllocatorAttributes |
| tensorflow.AllocatorAttributesVector |
| tensorflow.AllocatorMemoryUsed |
| tensorflow.AllocatorStats |
| tensorflow.AllocRecord |
| tensorflow.AllocRecordVector |
| tensorflow.Angle
Returns the argument of a complex number.
|
| tensorflow.Angle.Attrs
Optional attribute setters for Angle
|
| tensorflow.Any
Computes the "logical or" of elements across dimensions of a tensor.
|
| tensorflow.Any.Attrs
Optional attribute setters for Any
|
| tensorflow.ApiDef |
| tensorflow.ApiDef_Arg |
| tensorflow.ApiDef_Attr |
| tensorflow.ApiDef_Endpoint |
| tensorflow.ApiDefMap |
| tensorflow.ApiDefs |
| tensorflow.ApplyAdadelta
\defgroup training_ops Training Ops
\{
|
| tensorflow.ApplyAdadelta.Attrs
Optional attribute setters for ApplyAdadelta
|
| tensorflow.ApplyAdagrad
Update '*var' according to the adagrad scheme.
|
| tensorflow.ApplyAdagrad.Attrs
Optional attribute setters for ApplyAdagrad
|
| tensorflow.ApplyAdagradDA
Update '*var' according to the proximal adagrad scheme.
|
| tensorflow.ApplyAdagradDA.Attrs
Optional attribute setters for ApplyAdagradDA
|
| tensorflow.ApplyAdam
Update '*var' according to the Adam algorithm.
|
| tensorflow.ApplyAdam.Attrs
Optional attribute setters for ApplyAdam
|
| tensorflow.ApplyAddSign
Update '*var' according to the AddSign update.
|
| tensorflow.ApplyAddSign.Attrs
Optional attribute setters for ApplyAddSign
|
| tensorflow.ApplyCenteredRMSProp
Update '*var' according to the centered RMSProp algorithm.
|
| tensorflow.ApplyCenteredRMSProp.Attrs
Optional attribute setters for ApplyCenteredRMSProp
|
| tensorflow.ApplyFtrl
Update '*var' according to the Ftrl-proximal scheme.
|
| tensorflow.ApplyFtrl.Attrs
Optional attribute setters for ApplyFtrl
|
| tensorflow.ApplyFtrlV2
Update '*var' according to the Ftrl-proximal scheme.
|
| tensorflow.ApplyFtrlV2.Attrs
Optional attribute setters for ApplyFtrlV2
|
| tensorflow.ApplyGradientDescent
Update '*var' by subtracting 'alpha' * 'delta' from it.
|
| tensorflow.ApplyGradientDescent.Attrs
Optional attribute setters for ApplyGradientDescent
|
| tensorflow.ApplyMomentum
Update '*var' according to the momentum scheme.
|
| tensorflow.ApplyMomentum.Attrs
Optional attribute setters for ApplyMomentum
|
| tensorflow.ApplyPowerSign
Update '*var' according to the AddSign update.
|
| tensorflow.ApplyPowerSign.Attrs
Optional attribute setters for ApplyPowerSign
|
| tensorflow.ApplyProximalAdagrad
Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
|
| tensorflow.ApplyProximalAdagrad.Attrs
Optional attribute setters for ApplyProximalAdagrad
|
| tensorflow.ApplyProximalGradientDescent
Update '*var' as FOBOS algorithm with fixed learning rate.
|
| tensorflow.ApplyProximalGradientDescent.Attrs
Optional attribute setters for ApplyProximalGradientDescent
|
| tensorflow.ApplyRMSProp
Update '*var' according to the RMSProp algorithm.
|
| tensorflow.ApplyRMSProp.Attrs
Optional attribute setters for ApplyRMSProp
|
| tensorflow.ApproximateEqual
Returns the truth value of abs(x-y) < tolerance element-wise.
|
| tensorflow.ApproximateEqual.Attrs
Optional attribute setters for ApproximateEqual
|
| tensorflow.Arena |
| tensorflow.Arena.Destruct_Pointer |
| tensorflow.ArenaOptions |
| tensorflow.ArenaOptions.Block_alloc_long |
| tensorflow.ArenaOptions.Block_dealloc_Pointer_long |
| tensorflow.ArgMax
Returns the index with the largest value across dimensions of a tensor.
|
| tensorflow.ArgMax.Attrs
Optional attribute setters for ArgMax
|
| tensorflow.ArgMin
Returns the index with the smallest value across dimensions of a tensor.
|
| tensorflow.ArgMin.Attrs
Optional attribute setters for ArgMin
|
| tensorflow.Asin
Computes asin of x element-wise.
|
| tensorflow.Asinh
Computes inverse hyperbolic sine of x element-wise.
|
| tensorflow.Assert
\defgroup logging_ops Logging Ops
\{
|
| tensorflow.Assert.Attrs
Optional attribute setters for Assert
|
| tensorflow.AssetFileDef |
| tensorflow.Assign
\defgroup state_ops State Ops
\{
|
| tensorflow.Assign.Attrs
Optional attribute setters for Assign
|
| tensorflow.AssignAdd
Update 'ref' by adding 'value' to it.
|
| tensorflow.AssignAdd.Attrs
Optional attribute setters for AssignAdd
|
| tensorflow.AssignSub
Update 'ref' by subtracting 'value' from it.
|
| tensorflow.AssignSub.Attrs
Optional attribute setters for AssignSub
|
| tensorflow.AsString
\defgroup string_ops String Ops
\{
|
| tensorflow.AsString.Attrs
Optional attribute setters for AsString
|
| tensorflow.AsyncOpKernel |
| tensorflow.Atan
Computes atan of x element-wise.
|
| tensorflow.Atan2
Computes arctangent of
y/x element-wise, respecting signs of the arguments. |
| tensorflow.Atanh
Computes inverse hyperbolic tangent of x element-wise.
|
| tensorflow.AttrSlice |
| tensorflow.AttrSlice.Scratch |
| tensorflow.AttrValue |
| tensorflow.AttrValue_ListValue |
| tensorflow.AudioSummary
Outputs a
Summary protocol buffer with audio. |
| tensorflow.AudioSummary.Attrs
Optional attribute setters for AudioSummary
|
| tensorflow.AutoParallelOptions |
| tensorflow.AvgPool
\defgroup nn_ops Nn Ops
\{
|
| tensorflow.AvgPool.Attrs
Optional attribute setters for AvgPool
|
| tensorflow.AvgPool3D
Performs 3D average pooling on the input.
|
| tensorflow.AvgPool3D.Attrs
Optional attribute setters for AvgPool3D
|
| tensorflow.AvgPool3DGrad
Computes gradients of average pooling function.
|
| tensorflow.AvgPool3DGrad.Attrs
Optional attribute setters for AvgPool3DGrad
|
| tensorflow.Barrier
Defines a barrier that persists across different graph executions.
|
| tensorflow.Barrier.Attrs
Optional attribute setters for Barrier
|
| tensorflow.BarrierClose
Closes the given barrier.
|
| tensorflow.BarrierClose.Attrs
Optional attribute setters for BarrierClose
|
| tensorflow.BarrierIncompleteSize
Computes the number of incomplete elements in the given barrier.
|
| tensorflow.BarrierInsertMany
For each key, assigns the respective value to the specified component.
|
| tensorflow.BarrierReadySize
Computes the number of complete elements in the given barrier.
|
| tensorflow.BarrierTakeMany
Takes the given number of completed elements from a barrier.
|
| tensorflow.BarrierTakeMany.Attrs
Optional attribute setters for BarrierTakeMany
|
| tensorflow.BatchMatMul
Multiplies slices of two tensors in batches.
|
| tensorflow.BatchMatMul.Attrs
Optional attribute setters for BatchMatMul
|
| tensorflow.BatchToSpace
\defgroup array_ops Array Ops
\{
|
| tensorflow.BatchToSpaceND
BatchToSpace for N-D tensors of type T.
|
| tensorflow.BesselI0e
Computes the Bessel i0e function of
x element-wise. |
| tensorflow.BesselI1e
Computes the Bessel i1e function of
x element-wise. |
| tensorflow.Betainc
Compute the regularized incomplete beta integral \\(I_x(a, b)\\).
|
| tensorflow.bfloat16 |
| tensorflow.bfloat16.FP32 |
| tensorflow.bfloat16NumTraits |
| tensorflow.BiasAdd
Adds
bias to value. |
| tensorflow.BiasAdd.Attrs
Optional attribute setters for BiasAdd
|
| tensorflow.BiasAddGrad
The backward operation for "BiasAdd" on the "bias" tensor.
|
| tensorflow.BiasAddGrad.Attrs
Optional attribute setters for BiasAddGrad
|
| tensorflow.Bincount
Counts the number of occurrences of each value in an integer array.
|
| tensorflow.Bitcast
Bitcasts a tensor from one type to another without copying data.
|
| tensorflow.BroadcastDynamicShape
Return the shape of s0 op s1 with broadcast.
|
| tensorflow.BroadcastTo
Broadcast an array for a compatible shape.
|
| tensorflow.Bucketize
Bucketizes 'input' based on 'boundaries'.
|
| tensorflow.BundleWriter.Options |
| tensorflow.BytesList |
| tensorflow.CallableOptions |
| tensorflow.CallFrameInterface |
| tensorflow.CancellationManager |
| tensorflow.CastOp
Cast x of type SrcT to y of DstT.
|
| tensorflow.CastOp.Attrs
Optional attribute setters for Cast
|
| tensorflow.Ceil
Returns element-wise smallest integer not less than x.
|
| tensorflow.CheckNumerics
Checks a tensor for NaN and Inf values.
|
| tensorflow.Cholesky
\defgroup linalg_ops Linalg Ops
\{
|
| tensorflow.CholeskyGrad
Computes the reverse mode backpropagated gradient of the Cholesky algorithm.
|
| tensorflow.ClipByValue
Clips tensor values to a specified min and max.
|
| tensorflow.ClusterDef |
| tensorflow.CodedInputStream |
| tensorflow.CodedOutputStream |
| tensorflow.CollectionDef |
| tensorflow.CollectionDef_AnyList |
| tensorflow.CollectionDef_BytesList |
| tensorflow.CollectionDef_FloatList |
| tensorflow.CollectionDef_Int64List |
| tensorflow.CollectionDef_NodeList |
| tensorflow.CollectiveExecutor |
| tensorflow.CompareAndBitpack
Compare values of
input to threshold and pack resulting bits into a uint8. |
| tensorflow.Complex
Converts two real numbers to a complex number.
|
| tensorflow.Complex.Attrs
Optional attribute setters for Complex
|
| tensorflow.ComplexAbs
Computes the complex absolute value of a tensor.
|
| tensorflow.ComplexAbs.Attrs
Optional attribute setters for ComplexAbs
|
| tensorflow.ComputeAccidentalHits
Computes the ids of the positions in sampled_candidates that match true_labels.
|
| tensorflow.ComputeAccidentalHits.Attrs
Optional attribute setters for ComputeAccidentalHits
|
| tensorflow.Concat
Concatenates tensors along one dimension.
|
| tensorflow.ConditionalAccumulator
A conditional accumulator for aggregating gradients.
|
| tensorflow.ConditionalAccumulator.Attrs
Optional attribute setters for ConditionalAccumulator
|
| tensorflow.ConfigProto |
| tensorflow.ConfigProto_Experimental |
| tensorflow.Conj
Returns the complex conjugate of a complex number.
|
| tensorflow.ConjugateTranspose
Shuffle dimensions of x according to a permutation and conjugate the result.
|
| tensorflow.ConstDimensionPtrVector |
| tensorflow.ConstDimensionPtrVector.Iterator |
| tensorflow.ConstTensorPtrVector |
| tensorflow.ConstTensorPtrVector.Iterator |
| tensorflow.ControlTrigger
Does nothing.
|
| tensorflow.Conv2D
Computes a 2-D convolution given 4-D
input and filter tensors. |
| tensorflow.Conv2D.Attrs
Optional attribute setters for Conv2D
|
| tensorflow.Conv2DBackpropFilter
Computes the gradients of convolution with respect to the filter.
|
| tensorflow.Conv2DBackpropFilter.Attrs
Optional attribute setters for Conv2DBackpropFilter
|
| tensorflow.Conv2DBackpropInput
Computes the gradients of convolution with respect to the input.
|
| tensorflow.Conv2DBackpropInput.Attrs
Optional attribute setters for Conv2DBackpropInput
|
| tensorflow.Conv3D
Computes a 3-D convolution given 5-D
input and filter tensors. |
| tensorflow.Conv3D.Attrs
Optional attribute setters for Conv3D
|
| tensorflow.Conv3DBackpropFilterV2
Computes the gradients of 3-D convolution with respect to the filter.
|
| tensorflow.Conv3DBackpropFilterV2.Attrs
Optional attribute setters for Conv3DBackpropFilterV2
|
| tensorflow.Conv3DBackpropInputV2
Computes the gradients of 3-D convolution with respect to the input.
|
| tensorflow.Conv3DBackpropInputV2.Attrs
Optional attribute setters for Conv3DBackpropInputV2
|
| tensorflow.CopyThatWorksWithStringPointer |
| tensorflow.Cos
Computes cos of x element-wise.
|
| tensorflow.Cosh
Computes hyperbolic cosine of x element-wise.
|
| tensorflow.CostGraphDef |
| tensorflow.CostGraphDef_Node |
| tensorflow.CostGraphDef_Node_InputInfo |
| tensorflow.CostGraphDef_Node_OutputInfo |
| tensorflow.CountUpTo
Increments 'ref' until it reaches 'limit'.
|
| tensorflow.CropAndResize
Extracts crops from the input image tensor and resizes them.
|
| tensorflow.CropAndResize.Attrs
Optional attribute setters for CropAndResize
|
| tensorflow.CropAndResizeGradBoxes
Computes the gradient of the crop_and_resize op wrt the input boxes tensor.
|
| tensorflow.CropAndResizeGradBoxes.Attrs
Optional attribute setters for CropAndResizeGradBoxes
|
| tensorflow.CropAndResizeGradImage
Computes the gradient of the crop_and_resize op wrt the input image tensor.
|
| tensorflow.CropAndResizeGradImage.Attrs
Optional attribute setters for CropAndResizeGradImage
|
| tensorflow.Cross
Compute the pairwise cross product.
|
| tensorflow.Cumprod
Compute the cumulative product of the tensor
x along axis. |
| tensorflow.Cumprod.Attrs
Optional attribute setters for Cumprod
|
| tensorflow.Cumsum
Compute the cumulative sum of the tensor
x along axis. |
| tensorflow.Cumsum.Attrs
Optional attribute setters for Cumsum
|
| tensorflow.DataFormatDimMap
Returns the dimension index in the destination data format given the one in
the source data format.
|
| tensorflow.DataFormatDimMap.Attrs
Optional attribute setters for DataFormatDimMap
|
| tensorflow.DataFormatVecPermute
Returns the permuted vector/tensor in the destination data format given the
one in the source data format.
|
| tensorflow.DataFormatVecPermute.Attrs
Optional attribute setters for DataFormatVecPermute
|
| tensorflow.DataTypeSet |
| tensorflow.DataTypeSet.Iterator |
| tensorflow.DataTypeToEnum |
| tensorflow.DataTypeVector |
| tensorflow.Deallocator_Pointer_long_Pointer |
| tensorflow.DebuggedSourceFile |
| tensorflow.DebuggedSourceFiles |
| tensorflow.DebugGradientIdentity
Identity op for gradient debugging.
|
| tensorflow.DebugGradientRefIdentity
Identity op for gradient debugging.
|
| tensorflow.DebugOptions |
| tensorflow.DebugTensorWatch |
| tensorflow.DecodeAndCropJpeg
Decode and Crop a JPEG-encoded image to a uint8 tensor.
|
| tensorflow.DecodeAndCropJpeg.Attrs
Optional attribute setters for DecodeAndCropJpeg
|
| tensorflow.DecodeBase64
Decode web-safe base64-encoded strings.
|
| tensorflow.DecodeBmp
Decode the first frame of a BMP-encoded image to a uint8 tensor.
|
| tensorflow.DecodeBmp.Attrs
Optional attribute setters for DecodeBmp
|
| tensorflow.DecodeCompressed
Decompress strings.
|
| tensorflow.DecodeCompressed.Attrs
Optional attribute setters for DecodeCompressed
|
| tensorflow.DecodeCSV
\defgroup parsing_ops Parsing Ops
\{
|
| tensorflow.DecodeCSV.Attrs
Optional attribute setters for DecodeCSV
|
| tensorflow.DecodeGif
Decode the first frame of a GIF-encoded image to a uint8 tensor.
|
| tensorflow.DecodeJpeg
Decode a JPEG-encoded image to a uint8 tensor.
|
| tensorflow.DecodeJpeg.Attrs
Optional attribute setters for DecodeJpeg
|
| tensorflow.DecodeJSONExample
Convert JSON-encoded Example records to binary protocol buffer strings.
|
| tensorflow.DecodePng
Decode a PNG-encoded image to a uint8 or uint16 tensor.
|
| tensorflow.DecodePng.Attrs
Optional attribute setters for DecodePng
|
| tensorflow.DecodeRaw
Reinterpret the bytes of a string as a vector of numbers.
|
| tensorflow.DecodeRaw.Attrs
Optional attribute setters for DecodeRaw
|
| tensorflow.DeepCopy
Makes a copy of
x. |
| tensorflow.DeleteSessionTensor
Delete the tensor specified by its handle in the session.
|
| tensorflow.DepthToSpace
DepthToSpace for tensors of type T.
|
| tensorflow.DepthToSpace.Attrs
Optional attribute setters for DepthToSpace
|
| tensorflow.DepthwiseConv2dNative
Computes a 2-D depthwise convolution given 4-D
input and filter tensors. |
| tensorflow.DepthwiseConv2dNative.Attrs
Optional attribute setters for DepthwiseConv2dNative
|
| tensorflow.DepthwiseConv2dNativeBackpropFilter
Computes the gradients of depthwise convolution with respect to the filter.
|
| tensorflow.DepthwiseConv2dNativeBackpropFilter.Attrs
Optional attribute setters for DepthwiseConv2dNativeBackpropFilter
|
| tensorflow.DepthwiseConv2dNativeBackpropInput
Computes the gradients of depthwise convolution with respect to the input.
|
| tensorflow.DepthwiseConv2dNativeBackpropInput.Attrs
Optional attribute setters for DepthwiseConv2dNativeBackpropInput
|
| tensorflow.Dequantize
Dequantize the 'input' tensor into a float Tensor.
|
| tensorflow.Dequantize.Attrs
Optional attribute setters for Dequantize
|
| tensorflow.DeserializeManySparse
Deserialize and concatenate
SparseTensors from a serialized minibatch. |
| tensorflow.DeserializeSparse
Deserialize
SparseTensor objects. |
| tensorflow.DestroyTemporaryVariable
Destroys the temporary variable and returns its final value.
|
| tensorflow.Device |
| tensorflow.DeviceAttributes |
| tensorflow.DeviceBase |
| tensorflow.DeviceBase.CpuWorkerThreads |
| tensorflow.DeviceBase.GpuDeviceInfo |
| tensorflow.DeviceContext |
| tensorflow.DeviceContextInlinedVector |
| tensorflow.DeviceContextVector |
| tensorflow.DeviceContextVector.Iterator |
| tensorflow.DeviceLocality |
| tensorflow.DeviceMgr |
| tensorflow.DeviceName |
| tensorflow.DeviceNameUtils |
| tensorflow.DeviceNameUtils.ParsedName |
| tensorflow.DeviceStepStats |
| tensorflow.DeviceType |
| tensorflow.DeviceTypeVector |
| tensorflow.DeviceVector |
| tensorflow.DeviceVector.Iterator |
| tensorflow.Diag
Returns a diagonal tensor with a given diagonal values.
|
| tensorflow.DiagPart
Returns the diagonal part of the tensor.
|
| tensorflow.Digamma
Computes Psi, the derivative of Lgamma (the log of the absolute value of
Gamma(x)), element-wise. |
| tensorflow.Dilation2D
Computes the grayscale dilation of 4-D
input and 3-D filter tensors. |
| tensorflow.Dilation2DBackpropFilter
Computes the gradient of morphological 2-D dilation with respect to the filter.
|
| tensorflow.Dilation2DBackpropInput
Computes the gradient of morphological 2-D dilation with respect to the input.
|
| tensorflow.Dimension |
| tensorflow.DimensionHandle |
| tensorflow.DimensionHandlePair |
| tensorflow.DimensionOrConstant |
| tensorflow.DistributedFunctionLibraryRuntime |
| tensorflow.Div
Returns x / y element-wise.
|
| tensorflow.DivNoNan
Returns 0 if the denominator is zero.
|
| tensorflow.DrawBoundingBoxes
Draw bounding boxes on a batch of images.
|
| tensorflow.DynamicPartition
Partitions
data into num_partitions tensors using indices from partitions. |
| tensorflow.DynamicStitch
Interleave the values from the
data tensors into a single tensor. |
| tensorflow.Edge |
| tensorflow.EdgeSet |
| tensorflow.EdgeSet.EdgeSetIterator |
| tensorflow.EdgeSetBoolPair |
| tensorflow.EdgeSetIterator |
| tensorflow.EdgeVector |
| tensorflow.EdgeVector.Iterator |
| tensorflow.EditDistance
Computes the (possibly normalized) Levenshtein Edit Distance.
|
| tensorflow.EditDistance.Attrs
Optional attribute setters for EditDistance
|
| tensorflow.Elu
Computes exponential linear:
exp(features) - 1 if < 0, features otherwise. |
| tensorflow.Empty
Creates a tensor with the given shape.
|
| tensorflow.Empty.Attrs
Optional attribute setters for Empty
|
| tensorflow.EncodeBase64
Encode strings into web-safe base64 format.
|
| tensorflow.EncodeBase64.Attrs
Optional attribute setters for EncodeBase64
|
| tensorflow.EncodeJpeg
JPEG-encode an image.
|
| tensorflow.EncodeJpeg.Attrs
Optional attribute setters for EncodeJpeg
|
| tensorflow.EncodePng
PNG-encode an image.
|
| tensorflow.EncodePng.Attrs
Optional attribute setters for EncodePng
|
| tensorflow.EnsureShape
Ensures that the tensor's shape matches the expected shape.
|
| tensorflow.EnumToDataType |
| tensorflow.Env
\brief An interface used by the tensorflow implementation to
access operating system functionality like the filesystem etc.
|
| tensorflow.Equal
Returns the truth value of (x == y) element-wise.
|
| tensorflow.Erf
Computes the Gauss error function of
x element-wise. |
| tensorflow.Erfc
Computes the complementary error function of
x element-wise. |
| tensorflow.EventMgr |
| tensorflow.Example |
| tensorflow.Exp
Computes exponential of x element-wise.
|
| tensorflow.ExpandDims
Inserts a dimension of 1 into a tensor's shape.
|
| tensorflow.Expm1
Computes exponential of x - 1 element-wise.
|
| tensorflow.ExtractGlimpse
Extracts a glimpse from the input tensor.
|
| tensorflow.ExtractGlimpse.Attrs
Optional attribute setters for ExtractGlimpse
|
| tensorflow.ExtractImagePatches
Extract
patches from images and put them in the "depth" output dimension. |
| tensorflow.ExtractJpegShape
Extract the shape information of a JPEG-encoded image.
|
| tensorflow.ExtractJpegShape.Attrs
Optional attribute setters for ExtractJpegShape
|
| tensorflow.ExtractVolumePatches
Extract
patches from input and put them in the "depth" output
dimension. |
| tensorflow.Fact
\defgroup user_ops User Ops
\{
|
| tensorflow.FakeQuantWithMinMaxArgs
Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.
|
| tensorflow.FakeQuantWithMinMaxArgs.Attrs
Optional attribute setters for FakeQuantWithMinMaxArgs
|
| tensorflow.FakeQuantWithMinMaxArgsGradient
Compute gradients for a FakeQuantWithMinMaxArgs operation.
|
| tensorflow.FakeQuantWithMinMaxArgsGradient.Attrs
Optional attribute setters for FakeQuantWithMinMaxArgsGradient
|
| tensorflow.FakeQuantWithMinMaxVars
Fake-quantize the 'inputs' tensor of type float via global float scalars
min
and max to 'outputs' tensor of same shape as inputs. |
| tensorflow.FakeQuantWithMinMaxVars.Attrs
Optional attribute setters for FakeQuantWithMinMaxVars
|
| tensorflow.FakeQuantWithMinMaxVarsGradient
Compute gradients for a FakeQuantWithMinMaxVars operation.
|
| tensorflow.FakeQuantWithMinMaxVarsGradient.Attrs
Optional attribute setters for FakeQuantWithMinMaxVarsGradient
|
| tensorflow.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. |
| tensorflow.FakeQuantWithMinMaxVarsPerChannel.Attrs
Optional attribute setters for FakeQuantWithMinMaxVarsPerChannel
|
| tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient
Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
|
| tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient.Attrs
Optional attribute setters for FakeQuantWithMinMaxVarsPerChannelGradient
|
| tensorflow.FalseOpDefBuilderWrapper |
| tensorflow.FalseOpDefBuilderWrapper.Fn_InferenceContext |
| tensorflow.Feature |
| tensorflow.FeatureList |
| tensorflow.FeatureLists |
| tensorflow.Features |
| tensorflow.FIFOQueue
A queue that produces elements in first-in first-out order.
|
| tensorflow.FIFOQueue.Attrs
Optional attribute setters for FIFOQueue
|
| tensorflow.FileStatistics |
| tensorflow.FileSystem
A generic interface for accessing a file system.
|
| tensorflow.Fill
Creates a tensor filled with a scalar value.
|
| tensorflow.FixedLengthRecordReader
\defgroup io_ops Io Ops
\{
|
| tensorflow.FixedLengthRecordReader.Attrs
Optional attribute setters for FixedLengthRecordReader
|
| tensorflow.FixedUnigramCandidateSampler
Generates labels for candidate sampling with a learned unigram distribution.
|
| tensorflow.FixedUnigramCandidateSampler.Attrs
Optional attribute setters for FixedUnigramCandidateSampler
|
| tensorflow.FloatList |
| tensorflow.Floor
Returns element-wise largest integer not greater than x.
|
| tensorflow.FloorDiv
Returns x // y element-wise.
|
| tensorflow.FloorMod
Returns element-wise remainder of division.
|
| tensorflow.FractionalAvgPool
Performs fractional average pooling on the input.
|
| tensorflow.FractionalAvgPool.Attrs
Optional attribute setters for FractionalAvgPool
|
| tensorflow.FractionalMaxPool
Performs fractional max pooling on the input.
|
| tensorflow.FractionalMaxPool.Attrs
Optional attribute setters for FractionalMaxPool
|
| tensorflow.FrameAndIter |
| tensorflow.FrameAndIterHash |
| tensorflow.FunctionBody |
| tensorflow.FunctionDef |
| tensorflow.FunctionDefHelper |
| tensorflow.FunctionDefHelper.AttrValueWrapper |
| tensorflow.FunctionDefHelper.Node |
| tensorflow.FunctionDefLibrary |
| tensorflow.FunctionLibraryDefinition |
| tensorflow.FunctionLibraryRuntime |
| tensorflow.FunctionLibraryRuntime.InstantiateOptions |
| tensorflow.FunctionLibraryRuntime.Options |
| tensorflow.FusedBatchNorm
Batch normalization.
|
| tensorflow.FusedBatchNorm.Attrs
Optional attribute setters for FusedBatchNorm
|
| tensorflow.FusedBatchNormGrad
Gradient for batch normalization.
|
| tensorflow.FusedBatchNormGrad.Attrs
Optional attribute setters for FusedBatchNormGrad
|
| tensorflow.FusedBatchNormGradV2
Gradient for batch normalization.
|
| tensorflow.FusedBatchNormGradV2.Attrs
Optional attribute setters for FusedBatchNormGradV2
|
| tensorflow.FusedBatchNormV2
Batch normalization.
|
| tensorflow.FusedBatchNormV2.Attrs
Optional attribute setters for FusedBatchNormV2
|
| tensorflow.FusedPadConv2D
Performs a padding as a preprocess during a convolution.
|
| tensorflow.FusedResizeAndPadConv2D
Performs a resize and padding as a preprocess during a convolution.
|
| tensorflow.FusedResizeAndPadConv2D.Attrs
Optional attribute setters for FusedResizeAndPadConv2D
|
| tensorflow.Gather
Gather slices from
params according to indices. |
| tensorflow.Gather.Attrs
Optional attribute setters for Gather
|
| tensorflow.GatherNd
Gather slices from
params into a Tensor with shape specified by indices. |
| tensorflow.GatherV2
Gather slices from
params axis axis according to indices. |
| tensorflow.GetSessionHandle
Store the input tensor in the state of the current session.
|
| tensorflow.GetSessionHandleV2
Store the input tensor in the state of the current session.
|
| tensorflow.GetSessionTensor
Get the value of the tensor specified by its handle.
|
| tensorflow.GpuDevice |
| tensorflow.GPUOptions |
| tensorflow.GPUOptions_Experimental |
| tensorflow.GPUOptions_Experimental_VirtualDevices |
| tensorflow.GradientDef |
| tensorflow.Graph |
| tensorflow.GraphConstructorOptions |
| tensorflow.GraphDef |
| tensorflow.GraphDefBuilder |
| tensorflow.GraphDefBuilder.Options |
| tensorflow.GraphEdgesIterable |
| tensorflow.GraphEdgesIterable.const_iterator |
| tensorflow.GraphOptions |
| tensorflow.Greater
Returns the truth value of (x > y) element-wise.
|
| tensorflow.GreaterEqual
Returns the truth value of (x >= y) element-wise.
|
| tensorflow.GuaranteeConst
Gives a guarantee to the TF runtime that the input tensor is a constant.
|
| tensorflow.HalfHash |
| tensorflow.HistogramFixedWidth
Return histogram of values.
|
| tensorflow.HistogramFixedWidth.Attrs
Optional attribute setters for HistogramFixedWidth
|
| tensorflow.HistogramSummary
Outputs a
Summary protocol buffer with a histogram. |
| tensorflow.HSVToRGB
Convert one or more images from HSV to RGB.
|
| tensorflow.Identity
Return a tensor with the same shape and contents as the input tensor or value.
|
| tensorflow.IdentityN
Returns a list of tensors with the same shapes and contents as the input
tensors.
|
| tensorflow.IdentityReader
A Reader that outputs the queued work as both the key and value.
|
| tensorflow.IdentityReader.Attrs
Optional attribute setters for IdentityReader
|
| tensorflow.Igamma
Compute the lower regularized incomplete Gamma function
P(a, x). |
| tensorflow.Igammac
Compute the upper regularized incomplete Gamma function
Q(a, x). |
| tensorflow.Imag
Returns the imaginary part of a complex number.
|
| tensorflow.Imag.Attrs
Optional attribute setters for Imag
|
| tensorflow.ImageSummary
Outputs a
Summary protocol buffer with images. |
| tensorflow.ImageSummary.Attrs
Optional attribute setters for ImageSummary
|
| tensorflow.ImmutableConst
Returns immutable tensor from memory region.
|
| tensorflow.ImportGraphDefOptions |
| tensorflow.ImportGraphDefResults |
| tensorflow.InferenceContext |
| tensorflow.InplaceAdd
Adds v into specified rows of x.
|
| tensorflow.InplaceSub
Subtracts
v into specified rows of x. |
| tensorflow.InplaceUpdate
Updates specified rows with values in
v. |
| tensorflow.Input
Represents a tensor value that can be used as an operand to an Operation.
|
| tensorflow.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.
|
| tensorflow.InputList
A type for representing the input to ops that require a list of tensors.
|
| tensorflow.InputTensor |
| tensorflow.InputTensor.Hash |
| tensorflow.InstantiationResult |
| tensorflow.Int64List |
| tensorflow.InterconnectLink |
| tensorflow.InternalMetadataWithArena |
| tensorflow.InTopK
Says whether the targets are in the top
K predictions. |
| tensorflow.InTopKV2
Says whether the targets are in the top
K predictions. |
| tensorflow.IntStringMap |
| tensorflow.IntStringMap.Iterator |
| tensorflow.Inv
Computes the reciprocal of x element-wise.
|
| tensorflow.InvertPermutation
Computes the inverse permutation of a tensor.
|
| tensorflow.IsFinite
Returns which elements of x are finite.
|
| tensorflow.IsInf
Returns which elements of x are Inf.
|
| tensorflow.IsNan
Returns which elements of x are NaN.
|
| tensorflow.IsValidDataType |
| tensorflow.IsVariableInitialized
Checks whether a tensor has been initialized.
|
| tensorflow.JobDef |
| tensorflow.KernelDef |
| tensorflow.KernelDef_AttrConstraint |
| tensorflow.KernelDefBuilder |
| tensorflow.KernelList |
| tensorflow.L2Loss
L2 Loss.
|
| tensorflow.LearnedUnigramCandidateSampler
Generates labels for candidate sampling with a learned unigram distribution.
|
| tensorflow.LearnedUnigramCandidateSampler.Attrs
Optional attribute setters for LearnedUnigramCandidateSampler
|
| tensorflow.Less
Returns the truth value of (x < y) element-wise.
|
| tensorflow.LessEqual
Returns the truth value of (x <= y) element-wise.
|
| tensorflow.Lgamma
Computes the log of the absolute value of
Gamma(x) element-wise. |
| tensorflow.LinSpace
Generates values in an interval.
|
| tensorflow.LMDBReader
A Reader that outputs the records from a LMDB file.
|
| tensorflow.LMDBReader.Attrs
Optional attribute setters for LMDBReader
|
| tensorflow.LocalLinks |
| tensorflow.Log
Computes natural logarithm of x element-wise.
|
| tensorflow.Log1p
Computes natural logarithm of (1 + x) element-wise.
|
| tensorflow.LogicalAnd
Returns the truth value of x AND y element-wise.
|
| tensorflow.LogicalNot
Returns the truth value of NOT x element-wise.
|
| tensorflow.LogicalOr
Returns the truth value of x OR y element-wise.
|
| tensorflow.LogMatrixDeterminant
Computes the sign and the log of the absolute value of the determinant of
one or more square matrices.
|
| tensorflow.LogSoftmax
Computes log softmax activations.
|
| tensorflow.LogUniformCandidateSampler
Generates labels for candidate sampling with a log-uniform distribution.
|
| tensorflow.LogUniformCandidateSampler.Attrs
Optional attribute setters for LogUniformCandidateSampler
|
| tensorflow.LongLongPair |
| tensorflow.LongVector |
| tensorflow.LoopCond
Forwards the input to the output.
|
| tensorflow.LRN
Local Response Normalization.
|
| tensorflow.LRN.Attrs
Optional attribute setters for LRN
|
| tensorflow.MapClear
Op removes all elements in the underlying container.
|
| tensorflow.MapClear.Attrs
Optional attribute setters for MapClear
|
| tensorflow.MapIncompleteSize
Op returns the number of incomplete elements in the underlying container.
|
| tensorflow.MapIncompleteSize.Attrs
Optional attribute setters for MapIncompleteSize
|
| tensorflow.MapPeek
Op peeks at the values at the specified key.
|
| tensorflow.MapPeek.Attrs
Optional attribute setters for MapPeek
|
| tensorflow.MapSize
Op returns the number of elements in the underlying container.
|
| tensorflow.MapSize.Attrs
Optional attribute setters for MapSize
|
| tensorflow.MapStage
Stage (key, values) in the underlying container which behaves like a hashtable.
|
| tensorflow.MapStage.Attrs
Optional attribute setters for MapStage
|
| tensorflow.MapUnstage
Op removes and returns the values associated with the key
from the underlying container.
|
| tensorflow.MapUnstage.Attrs
Optional attribute setters for MapUnstage
|
| tensorflow.MapUnstageNoKey
Op removes and returns a random (key, value)
from the underlying container.
|
| tensorflow.MapUnstageNoKey.Attrs
Optional attribute setters for MapUnstageNoKey
|
| tensorflow.MatchingFiles
Returns the set of files matching one or more glob patterns.
|
| tensorflow.MatMul
Multiply the matrix "a" by the matrix "b".
|
| tensorflow.MatMul.Attrs
Optional attribute setters for MatMul
|
| tensorflow.MatrixBandPart
Copy a tensor setting everything outside a central band in each innermost matrix
to zero.
|
| tensorflow.MatrixDeterminant
Computes the determinant of one or more square matrices.
|
| tensorflow.MatrixDiag
Returns a batched diagonal tensor with a given batched diagonal values.
|
| tensorflow.MatrixDiagPart
Returns the batched diagonal part of a batched tensor.
|
| tensorflow.MatrixInverse
Computes the inverse of one or more square invertible matrices or their
adjoints (conjugate transposes).
|
| tensorflow.MatrixInverse.Attrs
Optional attribute setters for MatrixInverse
|
| tensorflow.MatrixSetDiag
Returns a batched matrix tensor with new batched diagonal values.
|
| tensorflow.MatrixSolve
Solves systems of linear equations.
|
| tensorflow.MatrixSolve.Attrs
Optional attribute setters for MatrixSolve
|
| tensorflow.MatrixSolveLs
Solves one or more linear least-squares problems.
|
| tensorflow.MatrixSolveLs.Attrs
Optional attribute setters for MatrixSolveLs
|
| tensorflow.MatrixTriangularSolve
Solves systems of linear equations with upper or lower triangular matrices by
backsubstitution.
|
| tensorflow.MatrixTriangularSolve.Attrs
Optional attribute setters for MatrixTriangularSolve
|
| tensorflow.Max
Computes the maximum of elements across dimensions of a tensor.
|
| tensorflow.Max.Attrs
Optional attribute setters for Max
|
| tensorflow.Maximum
Returns the max of x and y (i.e.
|
| tensorflow.MaxPool
Performs max pooling on the input.
|
| tensorflow.MaxPool.Attrs
Optional attribute setters for MaxPool
|
| tensorflow.MaxPool3D
Performs 3D max pooling on the input.
|
| tensorflow.MaxPool3D.Attrs
Optional attribute setters for MaxPool3D
|
| tensorflow.MaxPool3DGrad
Computes gradients of max pooling function.
|
| tensorflow.MaxPool3DGrad.Attrs
Optional attribute setters for MaxPool3DGrad
|
| tensorflow.MaxPool3DGradGrad
Computes second-order gradients of the maxpooling function.
|
| tensorflow.MaxPool3DGradGrad.Attrs
Optional attribute setters for MaxPool3DGradGrad
|
| tensorflow.MaxPoolGradGrad
Computes second-order gradients of the maxpooling function.
|
| tensorflow.MaxPoolGradGrad.Attrs
Optional attribute setters for MaxPoolGradGrad
|
| tensorflow.MaxPoolGradGradV2
Computes second-order gradients of the maxpooling function.
|
| tensorflow.MaxPoolGradGradV2.Attrs
Optional attribute setters for MaxPoolGradGradV2
|
| tensorflow.MaxPoolGradGradWithArgmax
Computes second-order gradients of the maxpooling function.
|
| tensorflow.MaxPoolGradV2
Computes gradients of the maxpooling function.
|
| tensorflow.MaxPoolGradV2.Attrs
Optional attribute setters for MaxPoolGradV2
|
| tensorflow.MaxPoolV2
Performs max pooling on the input.
|
| tensorflow.MaxPoolV2.Attrs
Optional attribute setters for MaxPoolV2
|
| tensorflow.MaxPoolWithArgmax
Performs max pooling on the input and outputs both max values and indices.
|
| tensorflow.MaxPoolWithArgmax.Attrs
Optional attribute setters for MaxPoolWithArgmax
|
| tensorflow.Mean
Computes the mean of elements across dimensions of a tensor.
|
| tensorflow.Mean.Attrs
Optional attribute setters for Mean
|
| tensorflow.MemoryStats |
| tensorflow.Merge
Forwards the value of an available tensor from
inputs to output. |
| tensorflow.MergeSummary
Merges summaries.
|
| tensorflow.MergeV2Checkpoints
V2 format specific: merges the metadata files of sharded checkpoints.
|
| tensorflow.MergeV2Checkpoints.Attrs
Optional attribute setters for MergeV2Checkpoints
|
| tensorflow.MessageLite |
| tensorflow.MetaGraphDef |
| tensorflow.MetaGraphDef_MetaInfoDef |
| tensorflow.Min
Computes the minimum of elements across dimensions of a tensor.
|
| tensorflow.Min.Attrs
Optional attribute setters for Min
|
| tensorflow.Minimum
Returns the min of x and y (i.e.
|
| tensorflow.MirrorPad
Pads a tensor with mirrored values.
|
| tensorflow.Mod
Returns element-wise remainder of division.
|
| tensorflow.Multinomial
\defgroup random_ops Random Ops
\{
|
| tensorflow.Multinomial.Attrs
Optional attribute setters for Multinomial
|
| tensorflow.Multiply
Returns x * y element-wise.
|
| tensorflow.NameAttrList |
| tensorflow.NameRangeMap |
| tensorflow.Negate
Computes numerical negative value element-wise.
|
| tensorflow.NeighborIter |
| tensorflow.NeighborIterRange |
| tensorflow.NextIteration
Makes its input available to the next iteration.
|
| tensorflow.Node |
| tensorflow.NodeBuilder |
| tensorflow.NodeBuilder.NodeOut |
| tensorflow.NodeDef |
| tensorflow.NodeDefBuilder |
| tensorflow.NodeDefBuilder.NodeOut |
| tensorflow.NodeExecStats |
| tensorflow.NodeIndexPair |
| tensorflow.NodeIntPairVector |
| tensorflow.NodeIter |
| tensorflow.NodeIterRange |
| tensorflow.NodeOut |
| tensorflow.NodeOutput |
| tensorflow.NodeOutVector |
| tensorflow.NodeOutVector.Iterator |
| tensorflow.NodeVector |
| tensorflow.NodeVector.Iterator |
| tensorflow.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.
|
| tensorflow.NonMaxSuppression.Attrs
Optional attribute setters for NonMaxSuppression
|
| tensorflow.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.
|
| tensorflow.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.
|
| tensorflow.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.
|
| tensorflow.NonMaxSuppressionV4.Attrs
Optional attribute setters for NonMaxSuppressionV4
|
| tensorflow.NonMaxSuppressionWithOverlaps
Greedily selects a subset of bounding boxes in descending order of score,
pruning away boxes that have high overlaps
with previously selected boxes.
|
| tensorflow.NoOp
\defgroup no_op No Op
\{
|
| tensorflow.NotEqual
Returns the truth value of (x != y) element-wise.
|
| tensorflow.NthElement
Finds values of the
n-th order statistic for the last dimension. |
| tensorflow.NthElement.Attrs
Optional attribute setters for NthElement
|
| tensorflow.OneHot
Returns a one-hot tensor.
|
| tensorflow.OneHot.Attrs
Optional attribute setters for OneHot
|
| tensorflow.OnesLike
Returns a tensor of ones with the same shape and type as x.
|
| tensorflow.OpDef |
| tensorflow.OpDef_ArgDef |
| tensorflow.OpDef_AttrDef |
| tensorflow.OpDefBuilder |
| tensorflow.OpDefBuilder.Fn_InferenceContext |
| tensorflow.OpDefVector |
| tensorflow.OpDefVector.Iterator |
| tensorflow.OpDeprecation |
| tensorflow.Operation
\addtogroup core
\{
|
| tensorflow.OpInputList |
| tensorflow.OpKernel |
| tensorflow.OpKernelConstruction |
| tensorflow.OpKernelContext |
| tensorflow.OpKernelContext.Params |
| tensorflow.OpKernelRegistrar.Factory |
| tensorflow.OpList |
| tensorflow.OpMutableInputList |
| tensorflow.OpOutputList |
| tensorflow.OpRegistrationData |
| tensorflow.OpRegistry |
| tensorflow.OpRegistryInterface |
| tensorflow.OpSegment |
| tensorflow.OptimizerOptions |
| tensorflow.OrderedMapClear
Op removes all elements in the underlying container.
|
| tensorflow.OrderedMapClear.Attrs
Optional attribute setters for OrderedMapClear
|
| tensorflow.OrderedMapIncompleteSize
Op returns the number of incomplete elements in the underlying container.
|
| tensorflow.OrderedMapIncompleteSize.Attrs
Optional attribute setters for OrderedMapIncompleteSize
|
| tensorflow.OrderedMapPeek
Op peeks at the values at the specified key.
|
| tensorflow.OrderedMapPeek.Attrs
Optional attribute setters for OrderedMapPeek
|
| tensorflow.OrderedMapSize
Op returns the number of elements in the underlying container.
|
| tensorflow.OrderedMapSize.Attrs
Optional attribute setters for OrderedMapSize
|
| tensorflow.OrderedMapStage
Stage (key, values) in the underlying container which behaves like a ordered
associative container.
|
| tensorflow.OrderedMapStage.Attrs
Optional attribute setters for OrderedMapStage
|
| tensorflow.OrderedMapUnstage
Op removes and returns the values associated with the key
from the underlying container.
|
| tensorflow.OrderedMapUnstage.Attrs
Optional attribute setters for OrderedMapUnstage
|
| tensorflow.OrderedMapUnstageNoKey
Op removes and returns the (key, value) element with the smallest
key from the underlying container.
|
| tensorflow.OrderedMapUnstageNoKey.Attrs
Optional attribute setters for OrderedMapUnstageNoKey
|
| tensorflow.Output
Represents a tensor value produced by an Operation.
|
| tensorflow.OutputHash
Hash class that can be used for e.g.
|
| tensorflow.OutputTensor |
| tensorflow.OutputTensor.Hash |
| tensorflow.OutputVector |
| tensorflow.OutputVector.Iterator |
| tensorflow.Pad
Pads a tensor with zeros.
|
| tensorflow.PaddingFIFOQueue
A queue that produces elements in first-in first-out order.
|
| tensorflow.PaddingFIFOQueue.Attrs
Optional attribute setters for PaddingFIFOQueue
|
| tensorflow.PadV2
Pads a tensor.
|
| tensorflow.ParallelConcat
Concatenates a list of
N tensors along the first dimension. |
| tensorflow.ParallelDynamicStitch
Interleave the values from the
data tensors into a single tensor. |
| tensorflow.ParameterizedTruncatedNormal
Outputs random values from a normal distribution.
|
| tensorflow.ParameterizedTruncatedNormal.Attrs
Optional attribute setters for ParameterizedTruncatedNormal
|
| tensorflow.ParseExample
Transforms a vector of brain.Example protos (as strings) into typed tensors.
|
| tensorflow.ParseSequenceExample
Transforms a vector of brain.SequenceExample protos (as strings) into typed tensors.
|
| tensorflow.ParseSequenceExample.Attrs
Optional attribute setters for ParseSequenceExample
|
| tensorflow.ParseSingleExample
Transforms a tf.Example proto (as a string) into typed tensors.
|
| tensorflow.ParseSingleSequenceExample
Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.
|
| tensorflow.ParseSingleSequenceExample.Attrs
Optional attribute setters for ParseSingleSequenceExample
|
| tensorflow.ParseTensor
Transforms a serialized tensorflow.TensorProto proto into a Tensor.
|
| tensorflow.PartialTensorShape
Manages the partially known dimensions of a Tensor and their sizes.
|
| tensorflow.PartialTensorShapeUtils
\brief Static helper routines for
PartialTensorShape. |
| tensorflow.PerOpGpuDevice |
| tensorflow.PersistentTensor |
| tensorflow.Placeholder
A placeholder op for a value that will be fed into the computation.
|
| tensorflow.Placeholder.Attrs
Optional attribute setters for Placeholder
|
| tensorflow.PlaceholderWithDefault
A placeholder op that passes through
input when its output is not fed. |
| tensorflow.Polygamma
Compute the polygamma function \\(\psi^{(n)}(x)\\).
|
| tensorflow.Pow
Computes the power of one value to another.
|
| tensorflow.PreventGradient
An identity op that triggers an error if a gradient is requested.
|
| tensorflow.PreventGradient.Attrs
Optional attribute setters for PreventGradient
|
| tensorflow.Print
Prints a list of tensors.
|
| tensorflow.Print.Attrs
Optional attribute setters for Print
|
| tensorflow.PrintV2
Prints a string scalar.
|
| tensorflow.PrintV2.Attrs
Optional attribute setters for PrintV2
|
| tensorflow.PriorityQueue
A queue that produces elements sorted by the first component value.
|
| tensorflow.PriorityQueue.Attrs
Optional attribute setters for PriorityQueue
|
| tensorflow.ProcessFunctionLibraryRuntime |
| tensorflow.Prod
Computes the product of elements across dimensions of a tensor.
|
| tensorflow.Prod.Attrs
Optional attribute setters for Prod
|
| tensorflow.Qr
Computes the QR decompositions of one or more matrices.
|
| tensorflow.Qr.Attrs
Optional attribute setters for Qr
|
| tensorflow.QuantizeAndDequantizeV2
Quantizes then dequantizes a tensor.
|
| tensorflow.QuantizeAndDequantizeV2.Attrs
Optional attribute setters for QuantizeAndDequantizeV2
|
| tensorflow.QuantizeAndDequantizeV3
Quantizes then dequantizes a tensor.
|
| tensorflow.QuantizeAndDequantizeV3.Attrs
Optional attribute setters for QuantizeAndDequantizeV3
|
| tensorflow.QuantizedAdd
Returns x + y element-wise, working on quantized buffers.
|
| tensorflow.QuantizedAdd.Attrs
Optional attribute setters for QuantizedAdd
|
| tensorflow.QuantizedAvgPool
Produces the average pool of the input tensor for quantized types.
|
| tensorflow.QuantizedBatchNormWithGlobalNormalization
Quantized Batch normalization.
|
| tensorflow.QuantizedBiasAdd
Adds Tensor 'bias' to Tensor 'input' for Quantized types.
|
| tensorflow.QuantizedConcat
Concatenates quantized tensors along one dimension.
|
| tensorflow.QuantizedConv2D
Computes a 2D convolution given quantized 4D input and filter tensors.
|
| tensorflow.QuantizedConv2D.Attrs
Optional attribute setters for QuantizedConv2D
|
| tensorflow.QuantizedInstanceNorm
Quantized Instance normalization.
|
| tensorflow.QuantizedInstanceNorm.Attrs
Optional attribute setters for QuantizedInstanceNorm
|
| tensorflow.QuantizedMatMul
Perform a quantized matrix multiplication of
a by the matrix b. |
| tensorflow.QuantizedMatMul.Attrs
Optional attribute setters for QuantizedMatMul
|
| tensorflow.QuantizedMaxPool
Produces the max pool of the input tensor for quantized types.
|
| tensorflow.QuantizedMul
Returns x * y element-wise, working on quantized buffers.
|
| tensorflow.QuantizedMul.Attrs
Optional attribute setters for QuantizedMul
|
| tensorflow.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.
|
| tensorflow.QuantizedRelu
Computes Quantized Rectified Linear:
max(features, 0)
Arguments:
* scope: A Scope object
* min_features: The float value that the lowest quantized value represents. |
| tensorflow.QuantizedRelu.Attrs
Optional attribute setters for QuantizedRelu
|
| tensorflow.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. |
| tensorflow.QuantizedRelu6.Attrs
Optional attribute setters for QuantizedRelu6
|
| tensorflow.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. |
| tensorflow.QuantizedReluX.Attrs
Optional attribute setters for QuantizedReluX
|
| tensorflow.QuantizedReshape
Reshapes a quantized tensor as per the Reshape op.
|
| tensorflow.QuantizedResizeBilinear
Resize quantized
images to size using quantized bilinear interpolation. |
| tensorflow.QuantizedResizeBilinear.Attrs
Optional attribute setters for QuantizedResizeBilinear
|
| tensorflow.QuantizeV2
Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
|
| tensorflow.QuantizeV2.Attrs
Optional attribute setters for QuantizeV2
|
| tensorflow.QueueClose
Closes the given queue.
|
| tensorflow.QueueClose.Attrs
Optional attribute setters for QueueClose
|
| tensorflow.QueueDequeue
Dequeues a tuple of one or more tensors from the given queue.
|
| tensorflow.QueueDequeue.Attrs
Optional attribute setters for QueueDequeue
|
| tensorflow.QueueDequeueMany
Dequeues
n tuples of one or more tensors from the given queue. |
| tensorflow.QueueDequeueMany.Attrs
Optional attribute setters for QueueDequeueMany
|
| tensorflow.QueueDequeueUpTo
Dequeues
n tuples of one or more tensors from the given queue. |
| tensorflow.QueueDequeueUpTo.Attrs
Optional attribute setters for QueueDequeueUpTo
|
| tensorflow.QueueEnqueue
Enqueues a tuple of one or more tensors in the given queue.
|
| tensorflow.QueueEnqueue.Attrs
Optional attribute setters for QueueEnqueue
|
| tensorflow.QueueEnqueueMany
Enqueues zero or more tuples of one or more tensors in the given queue.
|
| tensorflow.QueueEnqueueMany.Attrs
Optional attribute setters for QueueEnqueueMany
|
| tensorflow.QueueIsClosed
Returns true if queue is closed.
|
| tensorflow.QueueIsClosedV2
Returns true if queue is closed.
|
| tensorflow.QueueSize
Computes the number of elements in the given queue.
|
| tensorflow.RandomAccessFile
A file abstraction for randomly reading the contents of a file.
|
| tensorflow.RandomGamma
Outputs random values from the Gamma distribution(s) described by alpha.
|
| tensorflow.RandomGamma.Attrs
Optional attribute setters for RandomGamma
|
| tensorflow.RandomNormal
Outputs random values from a normal distribution.
|
| tensorflow.RandomNormal.Attrs
Optional attribute setters for RandomNormal
|
| tensorflow.RandomPoissonV2
Outputs random values from the Poisson distribution(s) described by rate.
|
| tensorflow.RandomPoissonV2.Attrs
Optional attribute setters for RandomPoissonV2
|
| tensorflow.RandomShuffle
Randomly shuffles a tensor along its first dimension.
|
| tensorflow.RandomShuffle.Attrs
Optional attribute setters for RandomShuffle
|
| tensorflow.RandomShuffleQueue
A queue that randomizes the order of elements.
|
| tensorflow.RandomShuffleQueue.Attrs
Optional attribute setters for RandomShuffleQueue
|
| tensorflow.RandomUniform
Outputs random values from a uniform distribution.
|
| tensorflow.RandomUniform.Attrs
Optional attribute setters for RandomUniform
|
| tensorflow.RandomUniformInt
Outputs random integers from a uniform distribution.
|
| tensorflow.RandomUniformInt.Attrs
Optional attribute setters for RandomUniformInt
|
| tensorflow.Range
Creates a sequence of numbers.
|
| tensorflow.Rank
Returns the rank of a tensor.
|
| tensorflow.ReaderNumRecordsProduced
Returns the number of records this Reader has produced.
|
| tensorflow.ReaderNumWorkUnitsCompleted
Returns the number of work units this Reader has finished processing.
|
| tensorflow.ReaderRead
Returns the next record (key, value pair) produced by a Reader.
|
| tensorflow.ReaderReadUpTo
Returns up to
num_records (key, value) pairs produced by a Reader. |
| tensorflow.ReaderReset
Restore a Reader to its initial clean state.
|
| tensorflow.ReaderRestoreState
Restore a reader to a previously saved state.
|
| tensorflow.ReaderSerializeState
Produce a string tensor that encodes the state of a Reader.
|
| tensorflow.ReadFile
Reads and outputs the entire contents of the input filename.
|
| tensorflow.ReadOnlyMemoryRegion
\brief A readonly memmapped file abstraction.
|
| tensorflow.Real
Returns the real part of a complex number.
|
| tensorflow.Real.Attrs
Optional attribute setters for Real
|
| tensorflow.RealDiv
Returns x / y element-wise for real types.
|
| tensorflow.Reciprocal
Computes the reciprocal of x element-wise.
|
| tensorflow.RecordInput
Emits randomized records.
|
| tensorflow.RecordInput.Attrs
Optional attribute setters for RecordInput
|
| tensorflow.RecordReader.Metadata |
| tensorflow.RecordReader.Stats |
| tensorflow.RecordReaderOptions |
| tensorflow.RecordWriterOptions |
| tensorflow.ReduceJoin
Joins a string Tensor across the given dimensions.
|
| tensorflow.ReduceJoin.Attrs
Optional attribute setters for ReduceJoin
|
| tensorflow.RefNextIteration
Makes its input available to the next iteration.
|
| tensorflow.RefSelect
Forwards the
indexth element of inputs to output. |
| tensorflow.RefSwitch
Forwards the ref tensor
data to the output port determined by pred. |
| tensorflow.RegexFullMatch
Check if the input matches the regex pattern.
|
| tensorflow.RegexReplace
Replaces the match of pattern in input with rewrite.
|
| tensorflow.RegexReplace.Attrs
Optional attribute setters for RegexReplace
|
| tensorflow.Relu
Computes rectified linear:
max(features, 0). |
| tensorflow.Relu6
Computes rectified linear 6:
min(max(features, 0), 6). |
| tensorflow.Rendezvous |
| tensorflow.RequantizationRange
Given a quantized tensor described by (input, input_min, input_max), outputs a
range that covers the actual values present in that tensor.
|
| tensorflow.Requantize
Convert the quantized 'input' tensor into a lower-precision 'output', using the
output range specified with 'requested_output_min' and 'requested_output_max'.
|
| tensorflow.Reshape
Reshapes a tensor.
|
| tensorflow.ResizeArea
Resize
images to size using area interpolation. |
| tensorflow.ResizeArea.Attrs
Optional attribute setters for ResizeArea
|
| tensorflow.ResizeBicubic
Resize
images to size using bicubic interpolation. |
| tensorflow.ResizeBicubic.Attrs
Optional attribute setters for ResizeBicubic
|
| tensorflow.ResizeBilinear
Resize
images to size using bilinear interpolation. |
| tensorflow.ResizeBilinear.Attrs
Optional attribute setters for ResizeBilinear
|
| tensorflow.ResizeNearestNeighbor
Resize
images to size using nearest neighbor interpolation. |
| tensorflow.ResizeNearestNeighbor.Attrs
Optional attribute setters for ResizeNearestNeighbor
|
| tensorflow.ResourceApplyAdadelta
Update '*var' according to the adadelta scheme.
|
| tensorflow.ResourceApplyAdadelta.Attrs
Optional attribute setters for ResourceApplyAdadelta
|
| tensorflow.ResourceApplyAdagrad
Update '*var' according to the adagrad scheme.
|
| tensorflow.ResourceApplyAdagrad.Attrs
Optional attribute setters for ResourceApplyAdagrad
|
| tensorflow.ResourceApplyAdagradDA
Update '*var' according to the proximal adagrad scheme.
|
| tensorflow.ResourceApplyAdagradDA.Attrs
Optional attribute setters for ResourceApplyAdagradDA
|
| tensorflow.ResourceApplyAdam
Update '*var' according to the Adam algorithm.
|
| tensorflow.ResourceApplyAdam.Attrs
Optional attribute setters for ResourceApplyAdam
|
| tensorflow.ResourceApplyAddSign
Update '*var' according to the AddSign update.
|
| tensorflow.ResourceApplyAddSign.Attrs
Optional attribute setters for ResourceApplyAddSign
|
| tensorflow.ResourceApplyCenteredRMSProp
Update '*var' according to the centered RMSProp algorithm.
|
| tensorflow.ResourceApplyCenteredRMSProp.Attrs
Optional attribute setters for ResourceApplyCenteredRMSProp
|
| tensorflow.ResourceApplyFtrl
Update '*var' according to the Ftrl-proximal scheme.
|
| tensorflow.ResourceApplyFtrl.Attrs
Optional attribute setters for ResourceApplyFtrl
|
| tensorflow.ResourceApplyFtrlV2
Update '*var' according to the Ftrl-proximal scheme.
|
| tensorflow.ResourceApplyFtrlV2.Attrs
Optional attribute setters for ResourceApplyFtrlV2
|
| tensorflow.ResourceApplyGradientDescent
Update '*var' by subtracting 'alpha' * 'delta' from it.
|
| tensorflow.ResourceApplyGradientDescent.Attrs
Optional attribute setters for ResourceApplyGradientDescent
|
| tensorflow.ResourceApplyMomentum
Update '*var' according to the momentum scheme.
|
| tensorflow.ResourceApplyMomentum.Attrs
Optional attribute setters for ResourceApplyMomentum
|
| tensorflow.ResourceApplyPowerSign
Update '*var' according to the AddSign update.
|
| tensorflow.ResourceApplyPowerSign.Attrs
Optional attribute setters for ResourceApplyPowerSign
|
| tensorflow.ResourceApplyProximalAdagrad
Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
|
| tensorflow.ResourceApplyProximalAdagrad.Attrs
Optional attribute setters for ResourceApplyProximalAdagrad
|
| tensorflow.ResourceApplyProximalGradientDescent
Update '*var' as FOBOS algorithm with fixed learning rate.
|
| tensorflow.ResourceApplyProximalGradientDescent.Attrs
Optional attribute setters for ResourceApplyProximalGradientDescent
|
| tensorflow.ResourceApplyRMSProp
Update '*var' according to the RMSProp algorithm.
|
| tensorflow.ResourceApplyRMSProp.Attrs
Optional attribute setters for ResourceApplyRMSProp
|
| tensorflow.ResourceCountUpTo
Increments variable pointed to by 'resource' until it reaches 'limit'.
|
| tensorflow.ResourceHandleProto |
| tensorflow.ResourceMgr |
| tensorflow.ResourceScatterNdAdd
Adds sparse
updates to individual values or slices within a given
variable according to indices. |
| tensorflow.ResourceScatterNdAdd.Attrs
Optional attribute setters for ResourceScatterNdAdd
|
| tensorflow.ResourceScatterNdUpdate
Applies sparse
updates to individual values or slices within a given
variable according to indices. |
| tensorflow.ResourceScatterNdUpdate.Attrs
Optional attribute setters for ResourceScatterNdUpdate
|
| tensorflow.ResourceSparseApplyAdadelta
var: Should be from a Variable().
|
| tensorflow.ResourceSparseApplyAdadelta.Attrs
Optional attribute setters for ResourceSparseApplyAdadelta
|
| tensorflow.ResourceSparseApplyAdagrad
Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
|
| tensorflow.ResourceSparseApplyAdagrad.Attrs
Optional attribute setters for ResourceSparseApplyAdagrad
|
| tensorflow.ResourceSparseApplyAdagradDA
Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
|
| tensorflow.ResourceSparseApplyAdagradDA.Attrs
Optional attribute setters for ResourceSparseApplyAdagradDA
|
| tensorflow.ResourceSparseApplyCenteredRMSProp
Update '*var' according to the centered RMSProp algorithm.
|
| tensorflow.ResourceSparseApplyCenteredRMSProp.Attrs
Optional attribute setters for ResourceSparseApplyCenteredRMSProp
|
| tensorflow.ResourceSparseApplyFtrl
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
|
| tensorflow.ResourceSparseApplyFtrl.Attrs
Optional attribute setters for ResourceSparseApplyFtrl
|
| tensorflow.ResourceSparseApplyFtrlV2
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
|
| tensorflow.ResourceSparseApplyFtrlV2.Attrs
Optional attribute setters for ResourceSparseApplyFtrlV2
|
| tensorflow.ResourceSparseApplyMomentum
Update relevant entries in '*var' and '*accum' according to the momentum scheme.
|
| tensorflow.ResourceSparseApplyMomentum.Attrs
Optional attribute setters for ResourceSparseApplyMomentum
|
| tensorflow.ResourceSparseApplyProximalAdagrad
Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
|
| tensorflow.ResourceSparseApplyProximalAdagrad.Attrs
Optional attribute setters for ResourceSparseApplyProximalAdagrad
|
| tensorflow.ResourceSparseApplyProximalGradientDescent
Sparse update '*var' as FOBOS algorithm with fixed learning rate.
|
| tensorflow.ResourceSparseApplyProximalGradientDescent.Attrs
Optional attribute setters for ResourceSparseApplyProximalGradientDescent
|
| tensorflow.ResourceSparseApplyRMSProp
Update '*var' according to the RMSProp algorithm.
|
| tensorflow.ResourceSparseApplyRMSProp.Attrs
Optional attribute setters for ResourceSparseApplyRMSProp
|
| tensorflow.ResourceStridedSliceAssign
Assign
value to the sliced l-value reference of ref. |
| tensorflow.ResourceStridedSliceAssign.Attrs
Optional attribute setters for ResourceStridedSliceAssign
|
| tensorflow.Restore
Restores a tensor from checkpoint files.
|
| tensorflow.Restore.Attrs
Optional attribute setters for Restore
|
| tensorflow.RestoreSlice
Restores a tensor from checkpoint files.
|
| tensorflow.RestoreSlice.Attrs
Optional attribute setters for RestoreSlice
|
| tensorflow.RestoreV2
Restores tensors from a V2 checkpoint.
|
| tensorflow.Reverse
Reverses specific dimensions of a tensor.
|
| tensorflow.ReverseSequence
Reverses variable length slices.
|
| tensorflow.ReverseSequence.Attrs
Optional attribute setters for ReverseSequence
|
| tensorflow.RewriterConfig |
| tensorflow.RewriterConfig_CustomGraphOptimizer |
| tensorflow.RGBToHSV
Converts one or more images from RGB to HSV.
|
| tensorflow.Rint
Returns element-wise integer closest to x.
|
| tensorflow.Round
Rounds the values of a tensor to the nearest integer, element-wise.
|
| tensorflow.RPCOptions |
| tensorflow.Rsqrt
Computes reciprocal of square root of x element-wise.
|
| tensorflow.RunMetadata |
| tensorflow.RunOptions |
| tensorflow.RunOptions_Experimental |
| tensorflow.SafeTensorId |
| tensorflow.SafeTensorId.Hasher |
| tensorflow.SafeTensorIdTensorIdMap |
| tensorflow.SafeTensorIdTensorIdMap.Iterator |
| tensorflow.SampleDistortedBoundingBox
Generate a single randomly distorted bounding box for an image.
|
| tensorflow.SampleDistortedBoundingBox.Attrs
Optional attribute setters for SampleDistortedBoundingBox
|
| tensorflow.SampleDistortedBoundingBoxV2
Generate a single randomly distorted bounding box for an image.
|
| tensorflow.SampleDistortedBoundingBoxV2.Attrs
Optional attribute setters for SampleDistortedBoundingBoxV2
|
| tensorflow.Save
Saves the input tensors to disk.
|
| tensorflow.SavedModelBundle
SavedModel representation once the SavedModel is loaded from storage.
|
| tensorflow.SaverDef |
| tensorflow.SaveSlices
Saves input tensors slices to disk.
|
| tensorflow.SaveV2
Saves tensors in V2 checkpoint format.
|
| tensorflow.ScalarSummary
Outputs a
Summary protocol buffer with scalar values. |
| tensorflow.ScatterAdd
Adds sparse updates to a variable reference.
|
| tensorflow.ScatterAdd.Attrs
Optional attribute setters for ScatterAdd
|
| tensorflow.ScatterDiv
Divides a variable reference by sparse updates.
|
| tensorflow.ScatterDiv.Attrs
Optional attribute setters for ScatterDiv
|
| tensorflow.ScatterMax
Reduces sparse updates into a variable reference using the
max operation. |
| tensorflow.ScatterMax.Attrs
Optional attribute setters for ScatterMax
|
| tensorflow.ScatterMin
Reduces sparse updates into a variable reference using the
min operation. |
| tensorflow.ScatterMin.Attrs
Optional attribute setters for ScatterMin
|
| tensorflow.ScatterMul
Multiplies sparse updates into a variable reference.
|
| tensorflow.ScatterMul.Attrs
Optional attribute setters for ScatterMul
|
| tensorflow.ScatterNd
Scatter
updates into a new tensor according to indices. |
| tensorflow.ScatterNdAdd
Applies sparse addition between
updates and individual values or slices
within a given variable according to indices. |
| tensorflow.ScatterNdAdd.Attrs
Optional attribute setters for ScatterNdAdd
|
| tensorflow.ScatterNdNonAliasingAdd
Applies sparse addition to
input using individual values or slices
from updates according to indices indices. |
| tensorflow.ScatterNdSub
Applies sparse subtraction between
updates and individual values or slices
within a given variable according to indices. |
| tensorflow.ScatterNdSub.Attrs
Optional attribute setters for ScatterNdSub
|
| tensorflow.ScatterNdUpdate
Applies sparse
updates to individual values or slices within a given
variable according to indices. |
| tensorflow.ScatterNdUpdate.Attrs
Optional attribute setters for ScatterNdUpdate
|
| tensorflow.ScatterSub
Subtracts sparse updates to a variable reference.
|
| tensorflow.ScatterSub.Attrs
Optional attribute setters for ScatterSub
|
| tensorflow.ScatterUpdate
Applies sparse updates to a variable reference.
|
| tensorflow.ScatterUpdate.Attrs
Optional attribute setters for ScatterUpdate
|
| tensorflow.Scope
\addtogroup core
\{
|
| tensorflow.Scope.Impl |
| tensorflow.ScopedAllocatorMgr |
| tensorflow.ScopedAllocatorOptions |
| tensorflow.ScopedStepContainer |
| tensorflow.SegmentMax
Computes the maximum along segments of a tensor.
|
| tensorflow.SegmentMean
Computes the mean along segments of a tensor.
|
| tensorflow.SegmentMin
Computes the minimum along segments of a tensor.
|
| tensorflow.SegmentProd
Computes the product along segments of a tensor.
|
| tensorflow.SegmentSum
Computes the sum along segments of a tensor.
|
| tensorflow.SelfAdjointEig
Computes the eigen decomposition of one or more square self-adjoint matrices.
|
| tensorflow.SelfAdjointEig.Attrs
Optional attribute setters for SelfAdjointEig
|
| tensorflow.Selu
Computes scaled exponential linear:
scale * alpha * (exp(features) - 1)
if < 0, scale * features otherwise. |
| tensorflow.SequenceExample |
| tensorflow.SerializeManySparse
Serialize an
N-minibatch SparseTensor into an [N, 3] Tensor object. |
| tensorflow.SerializeManySparse.Attrs
Optional attribute setters for SerializeManySparse
|
| tensorflow.SerializeSparse
Serialize a
SparseTensor into a [3] Tensor object. |
| tensorflow.SerializeSparse.Attrs
Optional attribute setters for SerializeSparse
|
| tensorflow.SerializeTensor
Transforms a Tensor into a serialized TensorProto proto.
|
| tensorflow.Session
\brief A Session instance lets a caller drive a TensorFlow graph
computation.
|
| tensorflow.SessionOptions
Configuration information for a Session.
|
| tensorflow.SessionState |
| tensorflow.SetDiff1D
Computes the difference between two lists of numbers or strings.
|
| tensorflow.SetDiff1D.Attrs
Optional attribute setters for SetDiff1D
|
| tensorflow.ShapeAndType |
| tensorflow.ShapeHandle |
| tensorflow.ShapeHandlePair |
| tensorflow.ShapeN
Returns shape of tensors.
|
| tensorflow.ShapeN.Attrs
Optional attribute setters for ShapeN
|
| tensorflow.ShapeRefiner |
| tensorflow.ShardedFilename
Generate a sharded filename.
|
| tensorflow.ShardedFilespec
Generate a glob pattern matching all sharded file names.
|
| tensorflow.Sigmoid
Computes sigmoid of
x element-wise. |
| tensorflow.Sign
Returns an element-wise indication of the sign of a number.
|
| tensorflow.SignatureDef |
| tensorflow.Sin
Computes sin of x element-wise.
|
| tensorflow.Sinh
Computes hyperbolic sine of x element-wise.
|
| tensorflow.Size
Returns the size of a tensor.
|
| tensorflow.Size.Attrs
Optional attribute setters for Size
|
| tensorflow.Slice
Return a slice from 'input'.
|
| tensorflow.Snapshot
Returns a copy of the input tensor.
|
| tensorflow.Softmax
Computes softmax activations.
|
| tensorflow.SoftmaxCrossEntropyWithLogits
Computes softmax cross entropy cost and gradients to backpropagate.
|
| tensorflow.Softplus
Computes softplus:
log(exp(features) + 1). |
| tensorflow.Softsign
Computes softsign:
features / (abs(features) + 1). |
| tensorflow.SpaceToBatch
SpaceToBatch for 4-D tensors of type T.
|
| tensorflow.SpaceToBatchND
SpaceToBatch for N-D tensors of type T.
|
| tensorflow.SpaceToDepth
SpaceToDepth for tensors of type T.
|
| tensorflow.SpaceToDepth.Attrs
Optional attribute setters for SpaceToDepth
|
| tensorflow.SparseAccumulatorApplyGradient
Applies a sparse gradient to a given accumulator.
|
| tensorflow.SparseAccumulatorTakeGradient
Extracts the average sparse gradient in a SparseConditionalAccumulator.
|
| tensorflow.SparseAdd
Adds two
SparseTensor objects to produce another SparseTensor. |
| tensorflow.SparseAddGrad
The gradient operator for the SparseAdd op.
|
| tensorflow.SparseApplyAdadelta
var: Should be from a Variable().
|
| tensorflow.SparseApplyAdadelta.Attrs
Optional attribute setters for SparseApplyAdadelta
|
| tensorflow.SparseApplyAdagrad
Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
|
| tensorflow.SparseApplyAdagrad.Attrs
Optional attribute setters for SparseApplyAdagrad
|
| tensorflow.SparseApplyAdagradDA
Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
|
| tensorflow.SparseApplyAdagradDA.Attrs
Optional attribute setters for SparseApplyAdagradDA
|
| tensorflow.SparseApplyCenteredRMSProp
Update '*var' according to the centered RMSProp algorithm.
|
| tensorflow.SparseApplyCenteredRMSProp.Attrs
Optional attribute setters for SparseApplyCenteredRMSProp
|
| tensorflow.SparseApplyFtrl
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
|
| tensorflow.SparseApplyFtrl.Attrs
Optional attribute setters for SparseApplyFtrl
|
| tensorflow.SparseApplyFtrlV2
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
|
| tensorflow.SparseApplyFtrlV2.Attrs
Optional attribute setters for SparseApplyFtrlV2
|
| tensorflow.SparseApplyMomentum
Update relevant entries in '*var' and '*accum' according to the momentum scheme.
|
| tensorflow.SparseApplyMomentum.Attrs
Optional attribute setters for SparseApplyMomentum
|
| tensorflow.SparseApplyProximalAdagrad
Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
|
| tensorflow.SparseApplyProximalAdagrad.Attrs
Optional attribute setters for SparseApplyProximalAdagrad
|
| tensorflow.SparseApplyProximalGradientDescent
Sparse update '*var' as FOBOS algorithm with fixed learning rate.
|
| tensorflow.SparseApplyProximalGradientDescent.Attrs
Optional attribute setters for SparseApplyProximalGradientDescent
|
| tensorflow.SparseApplyRMSProp
Update '*var' according to the RMSProp algorithm.
|
| tensorflow.SparseApplyRMSProp.Attrs
Optional attribute setters for SparseApplyRMSProp
|
| tensorflow.SparseConcat
Concatenates a list of
SparseTensor along the specified dimension. |
| tensorflow.SparseConditionalAccumulator
A conditional accumulator for aggregating sparse gradients.
|
| tensorflow.SparseConditionalAccumulator.Attrs
Optional attribute setters for SparseConditionalAccumulator
|
| tensorflow.SparseCross
Generates sparse cross from a list of sparse and dense tensors.
|
| tensorflow.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.
|
| tensorflow.SparseDenseCwiseDiv
Component-wise divides a SparseTensor by a dense Tensor.
|
| tensorflow.SparseDenseCwiseMul
Component-wise multiplies a SparseTensor by a dense Tensor.
|
| tensorflow.SparseFillEmptyRows
Fills empty rows in the input 2-D
SparseTensor with a default value. |
| tensorflow.SparseFillEmptyRowsGrad
The gradient of SparseFillEmptyRows.
|
| tensorflow.SparseMatMul
Multiply matrix "a" by matrix "b".
|
| tensorflow.SparseMatMul.Attrs
Optional attribute setters for SparseMatMul
|
| tensorflow.SparseReduceMax
Computes the max of elements across dimensions of a SparseTensor.
|
| tensorflow.SparseReduceMax.Attrs
Optional attribute setters for SparseReduceMax
|
| tensorflow.SparseReduceMaxSparse
Computes the max of elements across dimensions of a SparseTensor.
|
| tensorflow.SparseReduceMaxSparse.Attrs
Optional attribute setters for SparseReduceMaxSparse
|
| tensorflow.SparseReduceSum
Computes the sum of elements across dimensions of a SparseTensor.
|
| tensorflow.SparseReduceSum.Attrs
Optional attribute setters for SparseReduceSum
|
| tensorflow.SparseReduceSumSparse
Computes the sum of elements across dimensions of a SparseTensor.
|
| tensorflow.SparseReduceSumSparse.Attrs
Optional attribute setters for SparseReduceSumSparse
|
| tensorflow.SparseReorder
Reorders a SparseTensor into the canonical, row-major ordering.
|
| tensorflow.SparseReshape
Reshapes a SparseTensor to represent values in a new dense shape.
|
| tensorflow.SparseSegmentMean
Computes the mean along sparse segments of a tensor.
|
| tensorflow.SparseSegmentMeanGrad
Computes gradients for SparseSegmentMean.
|
| tensorflow.SparseSegmentMeanWithNumSegments
Computes the mean along sparse segments of a tensor.
|
| tensorflow.SparseSegmentSqrtN
Computes the sum along sparse segments of a tensor divided by the sqrt of N.
|
| tensorflow.SparseSegmentSqrtNGrad
Computes gradients for SparseSegmentSqrtN.
|
| tensorflow.SparseSegmentSqrtNWithNumSegments
Computes the sum along sparse segments of a tensor divided by the sqrt of N.
|
| tensorflow.SparseSegmentSum
Computes the sum along sparse segments of a tensor.
|
| tensorflow.SparseSegmentSumWithNumSegments
Computes the sum along sparse segments of a tensor.
|
| tensorflow.SparseSlice
Slice a
SparseTensor based on the start and size. |
| tensorflow.SparseSliceGrad
The gradient operator for the SparseSlice op.
|
| tensorflow.SparseSoftmax
Applies softmax to a batched N-D
SparseTensor. |
| tensorflow.SparseSoftmaxCrossEntropyWithLogits
Computes softmax cross entropy cost and gradients to backpropagate.
|
| tensorflow.SparseSparseMaximum
Returns the element-wise max of two SparseTensors.
|
| tensorflow.SparseSparseMinimum
Returns the element-wise min of two SparseTensors.
|
| tensorflow.SparseSplit
Split a
SparseTensor into num_split tensors along one dimension. |
| tensorflow.SparseTensorDenseAdd
Adds up a
SparseTensor and a dense Tensor, producing a dense Tensor. |
| tensorflow.SparseTensorDenseMatMul
Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
|
| tensorflow.SparseTensorDenseMatMul.Attrs
Optional attribute setters for SparseTensorDenseMatMul
|
| tensorflow.SparseToDense
Converts a sparse representation into a dense tensor.
|
| tensorflow.SparseToDense.Attrs
Optional attribute setters for SparseToDense
|
| tensorflow.Split
Splits a tensor into
num_split tensors along one dimension. |
| tensorflow.SplitV
Splits a tensor into
num_split tensors along one dimension. |
| tensorflow.Sqrt
Computes square root of x element-wise.
|
| tensorflow.Square
Computes square of x element-wise.
|
| tensorflow.SquaredDifference
Returns (x - y)(x - y) element-wise.
|
| tensorflow.Squeeze
Removes dimensions of size 1 from the shape of a tensor.
|
| tensorflow.Squeeze.Attrs
Optional attribute setters for Squeeze
|
| tensorflow.Stack
Packs a list of
N rank-R tensors into one rank-(R+1) tensor. |
| tensorflow.Stack.Attrs
Optional attribute setters for Stack
|
| tensorflow.Stage
Stage values similar to a lightweight Enqueue.
|
| tensorflow.Stage.Attrs
Optional attribute setters for Stage
|
| tensorflow.StageClear
Op removes all elements in the underlying container.
|
| tensorflow.StageClear.Attrs
Optional attribute setters for StageClear
|
| tensorflow.StagePeek
Op peeks at the values at the specified index.
|
| tensorflow.StagePeek.Attrs
Optional attribute setters for StagePeek
|
| tensorflow.StageSize
Op returns the number of elements in the underlying container.
|
| tensorflow.StageSize.Attrs
Optional attribute setters for StageSize
|
| tensorflow.Status
\ingroup core
Denotes success or failure of a call in Tensorflow.
|
| tensorflow.StepStats |
| tensorflow.StepStatsCollectorInterface |
| tensorflow.StopGradient
Stops gradient computation.
|
| tensorflow.Stream |
| tensorflow.StridedSlice
Return a strided slice from
input. |
| tensorflow.StridedSlice.Attrs
Optional attribute setters for StridedSlice
|
| tensorflow.StridedSliceAssign
Assign
value to the sliced l-value reference of ref. |
| tensorflow.StridedSliceAssign.Attrs
Optional attribute setters for StridedSliceAssign
|
| tensorflow.StridedSliceGrad
Returns the gradient of
StridedSlice. |
| tensorflow.StridedSliceGrad.Attrs
Optional attribute setters for StridedSliceGrad
|
| tensorflow.StringAttrPairVector |
| tensorflow.StringAttrValueMap |
| tensorflow.StringAttrValueMap.Iterator |
| tensorflow.StringCollectionDefMap |
| tensorflow.StringCollectionDefMap.Iterator |
| tensorflow.StringFeatureListMap |
| tensorflow.StringFeatureListMap.Iterator |
| tensorflow.StringFeatureMap |
| tensorflow.StringFeatureMap.Iterator |
| tensorflow.StringFormat
Formats a string template using a list of tensors.
|
| tensorflow.StringFormat.Attrs
Optional attribute setters for StringFormat
|
| tensorflow.StringIntMap |
| tensorflow.StringIntMap.Iterator |
| tensorflow.StringIntPair |
| tensorflow.StringJoin
Joins the strings in the given list of string tensors into one tensor;
with the given separator (default is an empty separator).
|
| tensorflow.StringJoin.Attrs
Optional attribute setters for StringJoin
|
| tensorflow.StringLength
String lengths of
input. |
| tensorflow.StringLength.Attrs
Optional attribute setters for StringLength
|
| tensorflow.StringList |
| tensorflow.StringList.Iterator |
| tensorflow.StringNodeMap |
| tensorflow.StringNodeMap.Iterator |
| tensorflow.StringPieceIntPair |
| tensorflow.StringPieceVector |
| tensorflow.StringPieceVector.Iterator |
| tensorflow.StringSet |
| tensorflow.StringSet.Iterator |
| tensorflow.StringSignatureDefMap |
| tensorflow.StringSignatureDefMap.Iterator |
| tensorflow.StringSliceInfoMap |
| tensorflow.StringSliceInfoMap.Iterator |
| tensorflow.StringSplit
Split elements of
input based on delimiter into a SparseTensor. |
| tensorflow.StringSplit.Attrs
Optional attribute setters for StringSplit
|
| tensorflow.StringSplitV2
Split elements of
source based on sep into a SparseTensor. |
| tensorflow.StringSplitV2.Attrs
Optional attribute setters for StringSplitV2
|
| tensorflow.StringStringMap |
| tensorflow.StringStringMap.Iterator |
| tensorflow.StringStringPairVector |
| tensorflow.StringStrip
Strip leading and trailing whitespaces from the Tensor.
|
| tensorflow.StringTensorInfoMap |
| tensorflow.StringTensorInfoMap.Iterator |
| tensorflow.StringTensorPairVector |
| tensorflow.StringTensorSliceSetMap |
| tensorflow.StringTensorSliceSetMap.Iterator |
| tensorflow.StringToHashBucket
Converts each string in the input Tensor to its hash mod by a number of buckets.
|
| tensorflow.StringToHashBucketFast
Converts each string in the input Tensor to its hash mod by a number of buckets.
|
| tensorflow.StringToHashBucketStrong
Converts each string in the input Tensor to its hash mod by a number of buckets.
|
| tensorflow.StringToNumber
Converts each string in the input Tensor to the specified numeric type.
|
| tensorflow.StringToNumber.Attrs
Optional attribute setters for StringToNumber
|
| tensorflow.StringUnorderedSet |
| tensorflow.StringUnorderedSet.Iterator |
| tensorflow.StringVector |
| tensorflow.StringVector.Iterator |
| tensorflow.Substr
Return substrings from
Tensor of strings. |
| tensorflow.Subtract
Returns x - y element-wise.
|
| tensorflow.Sum
Computes the sum of elements across dimensions of a tensor.
|
| tensorflow.Sum.Attrs
Optional attribute setters for Sum
|
| tensorflow.Svd
Computes the singular value decompositions of one or more matrices.
|
| tensorflow.Svd.Attrs
Optional attribute setters for Svd
|
| tensorflow.Switch
Forwards
data to the output port determined by pred. |
| tensorflow.TableStruct |
| tensorflow.TakeManySparseFromTensorsMap
Read
SparseTensors from a SparseTensorsMap and concatenate them. |
| tensorflow.TakeManySparseFromTensorsMap.Attrs
Optional attribute setters for TakeManySparseFromTensorsMap
|
| tensorflow.Tan
Computes tan of x element-wise.
|
| tensorflow.Tanh
Computes hyperbolic tangent of
x element-wise. |
| tensorflow.TemporaryVariable
Returns a tensor that may be mutated, but only persists within a single step.
|
| tensorflow.TemporaryVariable.Attrs
Optional attribute setters for TemporaryVariable
|
| tensorflow.Tensor
\ingroup core
Represents an n-dimensional array of values.
|
| tensorflow.TensorArray
An array of Tensors of given size.
|
| tensorflow.TensorArray.Attrs
Optional attribute setters for TensorArray
|
| tensorflow.TensorArrayClose
Delete the TensorArray from its resource container.
|
| tensorflow.TensorArrayConcat
Concat the elements from the TensorArray into value
value. |
| tensorflow.TensorArrayConcat.Attrs
Optional attribute setters for TensorArrayConcat
|
| tensorflow.TensorArrayGather
Gather specific elements from the TensorArray into output
value. |
| tensorflow.TensorArrayGather.Attrs
Optional attribute setters for TensorArrayGather
|
| tensorflow.TensorArrayGrad
Creates a TensorArray for storing the gradients of values in the given handle.
|
| tensorflow.TensorArrayGradWithShape
Creates a TensorArray for storing multiple gradients of values in the given handle.
|
| tensorflow.TensorArrayRead
Read an element from the TensorArray into output
value. |
| tensorflow.TensorArrayScatter
Scatter the data from the input value into specific TensorArray elements.
|
| tensorflow.TensorArraySize
Get the current size of the TensorArray.
|
| tensorflow.TensorArraySplit
Split the data from the input value into TensorArray elements.
|
| tensorflow.TensorArrayWrite
Push an element onto the tensor_array.
|
| tensorflow.TensorBuffer |
| tensorflow.TensorCApi |
| tensorflow.TensorConnection |
| tensorflow.TensorDescription |
| tensorflow.TensorId |
| tensorflow.TensorId.Hasher |
| tensorflow.TensorIdTensorIdMap |
| tensorflow.TensorIdTensorIdMap.Iterator |
| tensorflow.TensorInfo |
| tensorflow.TensorInfo_CooSparse |
| tensorflow.TensorProto |
| tensorflow.TensorProtoVector |
| tensorflow.TensorProtoVector.Iterator |
| tensorflow.TensorReference |
| tensorflow.TensorShape
Represents the shape of a Tensor.
|
| tensorflow.TensorShapeBase
Base class for TensorShape and PartialTensorShape.
|
| tensorflow.TensorShapeDim
Represents the value of one dimension in a TensorShape.
|
| tensorflow.TensorShapeIter |
| tensorflow.TensorShapeProto |
| tensorflow.TensorShapeProto_Dim |
| tensorflow.TensorShapeRep
Internal representation for both TensorShape and PartialTensorShape.
|
| tensorflow.TensorShapeUtils
\brief Static helper routines for
TensorShape. |
| tensorflow.TensorShapeVector |
| tensorflow.TensorShapeVector.Iterator |
| tensorflow.TensorSlice |
| tensorflow.TensorSliceProto |
| tensorflow.TensorSliceProto_Extent |
| tensorflow.TensorSliceReader.Table |
| tensorflow.TensorSliceReaderCacheWrapper |
| tensorflow.TensorSliceSet |
| tensorflow.TensorSliceSet.SliceInfo |
| tensorflow.TensorSlideStringPair |
| tensorflow.TensorStore |
| tensorflow.TensorStore.TensorAndKey |
| tensorflow.TensorSummary
Outputs a
Summary protocol buffer with a tensor. |
| tensorflow.TensorSummary.Attrs
Optional attribute setters for TensorSummary
|
| tensorflow.TensorSummaryV2
Outputs a
Summary protocol buffer with a tensor and per-plugin data. |
| tensorflow.TensorValue |
| tensorflow.TensorValueVector |
| tensorflow.TensorVector |
| tensorflow.TensorVector.Iterator |
| tensorflow.TextLineReader
A Reader that outputs the lines of a file delimited by '\n'.
|
| tensorflow.TextLineReader.Attrs
Optional attribute setters for TextLineReader
|
| tensorflow.TF_ApiDefMap |
| tensorflow.TF_AttrMetadata |
| tensorflow.TF_Buffer |
| tensorflow.TF_Buffer.Data_deallocator_Pointer_long |
| tensorflow.TF_DeprecatedSession |
| tensorflow.TF_DeviceList |
| tensorflow.TF_Function |
| tensorflow.TF_FunctionOptions |
| tensorflow.TF_Graph |
| tensorflow.TF_ImportGraphDefOptions |
| tensorflow.TF_ImportGraphDefResults |
| tensorflow.TF_Input |
| tensorflow.TF_Library |
| tensorflow.TF_Operation |
| tensorflow.TF_OperationDescription |
| tensorflow.TF_Output |
| tensorflow.TF_Session |
| tensorflow.TF_SessionOptions |
| tensorflow.TF_SessionStringMap |
| tensorflow.TF_SessionStringMap.Iterator |
| tensorflow.TF_Status |
| tensorflow.TF_Tensor |
| tensorflow.TF_WhileParams |
| tensorflow.TFRecordReader
A Reader that outputs the records from a TensorFlow Records file.
|
| tensorflow.TFRecordReader.Attrs
Optional attribute setters for TFRecordReader
|
| tensorflow.Thread
Represents a thread used to run a Tensorflow function.
|
| tensorflow.ThreadOptions
\brief Options to configure a Thread.
|
| tensorflow.ThreadPool |
| tensorflow.ThreadPoolDevice |
| tensorflow.ThreadPoolOptionProto |
| tensorflow.Tile
Constructs a tensor by tiling a given tensor.
|
| tensorflow.Timestamp
Provides the time since epoch in seconds.
|
| tensorflow.TopK
Finds values and indices of the
k largest elements for the last dimension. |
| tensorflow.TopK.Attrs
Optional attribute setters for TopK
|
| tensorflow.TrackingAllocator |
| tensorflow.Transpose
Shuffle dimensions of x according to a permutation.
|
| tensorflow.TrueOpDefBuilderWrapper |
| tensorflow.TrueOpDefBuilderWrapper.Fn_InferenceContext |
| tensorflow.TruncateDiv
Returns x / y element-wise for integer types.
|
| tensorflow.TruncatedNormal
Outputs random values from a truncated normal distribution.
|
| tensorflow.TruncatedNormal.Attrs
Optional attribute setters for TruncatedNormal
|
| tensorflow.TruncateMod
Returns element-wise remainder of division.
|
| tensorflow.UnicodeScript
Determine the script codes of a given tensor of Unicode integer code points.
|
| tensorflow.UniformCandidateSampler
Generates labels for candidate sampling with a uniform distribution.
|
| tensorflow.UniformCandidateSampler.Attrs
Optional attribute setters for UniformCandidateSampler
|
| tensorflow.Unique
Finds unique elements in a 1-D tensor.
|
| tensorflow.Unique.Attrs
Optional attribute setters for Unique
|
| tensorflow.UniqueV2
Finds unique elements along an axis of a tensor.
|
| tensorflow.UniqueV2.Attrs
Optional attribute setters for UniqueV2
|
| tensorflow.UniqueWithCounts
Finds unique elements in a 1-D tensor.
|
| tensorflow.UniqueWithCounts.Attrs
Optional attribute setters for UniqueWithCounts
|
| tensorflow.UniqueWithCountsV2
Finds unique elements along an axis of a tensor.
|
| tensorflow.UniqueWithCountsV2.Attrs
Optional attribute setters for UniqueWithCountsV2
|
| tensorflow.UnknownField |
| tensorflow.UnknownField.LengthDelimited |
| tensorflow.UnknownFieldSet |
| tensorflow.UnravelIndex
Converts a flat index or array of flat indices into a tuple of
coordinate arrays.
|
| tensorflow.UnsortedSegmentMax
Computes the maximum along segments of a tensor.
|
| tensorflow.UnsortedSegmentMin
Computes the minimum along segments of a tensor.
|
| tensorflow.UnsortedSegmentProd
Computes the product along segments of a tensor.
|
| tensorflow.UnsortedSegmentSum
Computes the sum along segments of a tensor.
|
| tensorflow.Unstack
Unpacks a given dimension of a rank-
R tensor into num rank-(R-1) tensors. |
| tensorflow.Unstack.Attrs
Optional attribute setters for Unstack
|
| tensorflow.Unstage
Op is similar to a lightweight Dequeue.
|
| tensorflow.Unstage.Attrs
Optional attribute setters for Unstage
|
| tensorflow.Variable
Holds state in the form of a tensor that persists across steps.
|
| tensorflow.Variable.Attrs
Optional attribute setters for Variable
|
| tensorflow.VariantTensorDataProto |
| tensorflow.VarToDataTypeMap |
| tensorflow.VarToDataTypeMap.Iterator |
| tensorflow.VarToShapeMap |
| tensorflow.VarToShapeMap.Iterator |
| tensorflow.VersionDef |
| tensorflow.Where
Returns locations of nonzero / true values in a tensor.
|
| tensorflow.Where3
Selects elements from
x or y, depending on condition. |
| tensorflow.WhileContext |
| tensorflow.WholeFileReader
A Reader that outputs the entire contents of a file as a value.
|
| tensorflow.WholeFileReader.Attrs
Optional attribute setters for WholeFileReader
|
| tensorflow.WrappedAllocator |
| tensorflow.WrappedAllocatorVector |
| tensorflow.WritableFile
\brief A file abstraction for sequential writing.
|
| tensorflow.WriteFile
Writes contents to the file at input filename.
|
| tensorflow.Xdivy
Returns 0 if x == 0, and x / y otherwise, elementwise.
|
| tensorflow.XlaOpKernelContext |
| tensorflow.Xlogy
Returns 0 if x == 0, and x * log(y) otherwise, elementwise.
|
| tensorflow.ZeroCopyInputStream |
| tensorflow.ZeroCopyOutputStream |
| tensorflow.ZerosLike
Returns a tensor of zeros with the same shape and type as x.
|
| tensorflow.Zeta
Compute the Hurwitz zeta function \\(\zeta(x, q)\\).
|
| tensorflow.ZlibCompressionOptions |
| Class and Description |
|---|
| tensorflow.Deallocator_Pointer_long_Pointer |
| tensorflow.Session
\brief A Session instance lets a caller drive a TensorFlow graph
computation.
|
| tensorflow.SessionOptions
Configuration information for a Session.
|
| tensorflow.Tensor
\ingroup core
Represents an n-dimensional array of values.
|
| tensorflow.TensorShape
Represents the shape of a Tensor.
|
| tensorflow.TF_Buffer |
| tensorflow.TF_Graph |
| tensorflow.TF_ImportGraphDefOptions |
| tensorflow.TF_Session |
| tensorflow.TF_SessionOptions |
| tensorflow.TF_Status |
| tensorflow.TF_Tensor |
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