| Class | Description |
|---|---|
| tensorflow | |
| 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.AllocatorWrapper | |
| 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.ArenaStringPtr | |
| 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.BundleReader | |
| tensorflow.BundleWriter | |
| tensorflow.BundleWriter.Options | |
| tensorflow.BytesList | |
| tensorflow.CallableOptions | |
| tensorflow.CallableOptions_FeedDevicesEntry_DoNotUse | |
| tensorflow.CallableOptions_FetchDevicesEntry_DoNotUse | |
| 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.CheckpointReader | |
| 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_DeviceCountEntry_DoNotUse | |
| 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.EdgeSetTest | |
| 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.EnvWrapper |
\brief An implementation of Env that forwards all calls to another Env.
|
| 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.FeatureLists_FeatureListEntry_DoNotUse | |
| tensorflow.Features | |
| tensorflow.Features_FeatureEntry_DoNotUse | |
| tensorflow.FIFOQueue |
A queue that produces elements in first-in first-out order.
|
| tensorflow.FIFOQueue.Attrs |
Optional attribute setters for FIFOQueue
|
| tensorflow.FileOutputBuffer | |
| tensorflow.FileStatistics | |
| tensorflow.FileSystem |
A generic interface for accessing a file system.
|
| tensorflow.FileSystemRegistry |
\brief A registry for file system implementations.
|
| 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.FunctionCallFrame | |
| tensorflow.FunctionDef | |
| tensorflow.FunctionDef_AttrEntry_DoNotUse | |
| tensorflow.FunctionDef_RetEntry_DoNotUse | |
| 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.GraphProperties | |
| tensorflow.GraphRunner | |
| 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.InputStreamInterface | |
| 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.JobDef_TasksEntry_DoNotUse | |
| tensorflow.KernelDef | |
| tensorflow.KernelDef_AttrConstraint | |
| tensorflow.KernelDefBuilder | |
| tensorflow.KernelList | |
| tensorflow.L2Loss |
L2 Loss.
|
| tensorflow.LazyField | |
| 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.MessageSetFieldSkipperUsingCord | |
| tensorflow.MetaGraphDef | |
| tensorflow.MetaGraphDef_CollectionDefEntry_DoNotUse | |
| tensorflow.MetaGraphDef_MetaInfoDef | |
| tensorflow.MetaGraphDef_SignatureDefEntry_DoNotUse | |
| 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.NameAttrList_AttrEntry_DoNotUse | |
| 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.NodeDef_AttrEntry_DoNotUse | |
| 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.NodeProperties | |
| 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.OpDefBuilderReceiver | |
| tensorflow.OpDefVector | |
| tensorflow.OpDefVector.Iterator | |
| tensorflow.OpDeprecation | |
| tensorflow.Operation |
\addtogroup core
\{
|
| tensorflow.OpInputList | |
| tensorflow.OpKernel | |
| tensorflow.OpKernelConstruction | |
| tensorflow.OpKernelContext | |
| tensorflow.OpKernelContext.Params | |
| tensorflow.OpKernelRegistrar | |
| tensorflow.OpKernelRegistrar.Factory | |
| tensorflow.OpList | |
| tensorflow.OpListOpRegistry | |
| 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 | |
| tensorflow.RecordReader.Metadata | |
| tensorflow.RecordReader.Stats | |
| tensorflow.RecordReaderOptions | |
| tensorflow.RecordWriter | |
| 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.RegisterKernelName | |
| tensorflow.RegisterKernelSystemName | |
| tensorflow.Relu |
Computes rectified linear:
max(features, 0). |
| tensorflow.Relu6 |
Computes rectified linear 6:
min(max(features, 0), 6). |
| tensorflow.Rendezvous | |
| tensorflow.RepeatedPtrFieldBase | |
| 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.RewriterConfig_CustomGraphOptimizer_ParameterMapEntry_DoNotUse | |
| 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.SequentialRecordReader | |
| 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.Shape | |
| tensorflow.ShapeAndType | |
| tensorflow.ShapeHandle | |
| tensorflow.ShapeHandlePair | |
| tensorflow.ShapeN |
Returns shape of tensors.
|
| tensorflow.ShapeN.Attrs |
Optional attribute setters for ShapeN
|
| tensorflow.ShapeRefiner | |
| tensorflow.ShapeRefinerTest | |
| tensorflow.ShardedFilename |
Generate a sharded filename.
|
| tensorflow.ShardedFilespec |
Generate a glob pattern matching all sharded file names.
|
| tensorflow.ShortPointer | |
| tensorflow.Sigmoid |
Computes sigmoid of
x element-wise. |
| tensorflow.Sign |
Returns an element-wise indication of the sign of a number.
|
| tensorflow.SignatureDef | |
| tensorflow.SignatureDef_InputsEntry_DoNotUse | |
| tensorflow.SignatureDef_OutputsEntry_DoNotUse | |
| 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.SubAllocator | |
| 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.SyclDevice | |
| tensorflow.SymbolicShapeManager | |
| 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 | |
| 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.ThreadPool.Impl | |
| 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.Variant | |
| tensorflow.VariantTensorDataProto | |
| tensorflow.VarToDataTypeMap | |
| tensorflow.VarToDataTypeMap.Iterator | |
| tensorflow.VarToShapeMap | |
| tensorflow.VarToShapeMap.Iterator | |
| tensorflow.VersionDef | |
| tensorflow.WeakFieldMap | |
| 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.WireFormat | |
| tensorflow.WireFormatLite | |
| 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 | |
| tensorflow.ZlibOutputBuffer |
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