public class tensorflow extends tensorflow
| Modifier and Type | Class and Description |
|---|---|
static class |
tensorflow.Abort
\defgroup control_flow_ops Control Flow Ops
\{
|
static class |
tensorflow.Abs
\defgroup math_ops Math Ops
\{
|
static class |
tensorflow.AccumulateNV2
Returns the element-wise sum of a list of tensors.
|
static class |
tensorflow.AccumulatorApplyGradient
\defgroup data_flow_ops Data Flow Ops
\{
|
static class |
tensorflow.AccumulatorNumAccumulated
Returns the number of gradients aggregated in the given accumulators.
|
static class |
tensorflow.AccumulatorSetGlobalStep
Updates the accumulator with a new value for global_step.
|
static class |
tensorflow.AccumulatorTakeGradient
Extracts the average gradient in the given ConditionalAccumulator.
|
static class |
tensorflow.Acos
Computes acos of x element-wise.
|
static class |
tensorflow.Acosh
Computes inverse hyperbolic cosine of x element-wise.
|
static class |
tensorflow.Add
Returns x + y element-wise.
|
static class |
tensorflow.AddManySparseToTensorsMap
\defgroup sparse_ops Sparse Ops
\{
|
static class |
tensorflow.AddN
Add all input tensors element wise.
|
static class |
tensorflow.AddSparseToTensorsMap
Add a
SparseTensor to a SparseTensorsMap return its handle. |
static class |
tensorflow.AddV2
Returns x + y element-wise.
|
static class |
tensorflow.AdjustContrast
\defgroup image_ops Image Ops
\{
|
static class |
tensorflow.AdjustHue
Adjust the hue of one or more images.
|
static class |
tensorflow.AdjustSaturation
Adjust the saturation of one or more images.
|
static class |
tensorflow.All
Computes the "logical and" of elements across dimensions of a tensor.
|
static class |
tensorflow.AllCandidateSampler
\defgroup candidate_sampling_ops Candidate Sampling Ops
\{
|
static class |
tensorflow.AllocationAttributes |
static class |
tensorflow.AllocationDescription |
static class |
tensorflow.AllocationRecord |
static class |
tensorflow.Allocator |
static class |
tensorflow.AllocatorAttributes |
static class |
tensorflow.AllocatorAttributesVector |
static class |
tensorflow.AllocatorMemoryUsed |
static class |
tensorflow.AllocatorStats |
static class |
tensorflow.AllocatorWrapper |
static class |
tensorflow.AllocRecord |
static class |
tensorflow.AllocRecordVector |
static class |
tensorflow.Angle
Returns the argument of a complex number.
|
static class |
tensorflow.Any
Computes the "logical or" of elements across dimensions of a tensor.
|
static class |
tensorflow.ApiDef |
static class |
tensorflow.ApiDef_Arg |
static class |
tensorflow.ApiDef_Attr |
static class |
tensorflow.ApiDef_Endpoint |
static class |
tensorflow.ApiDefMap |
static class |
tensorflow.ApiDefs |
static class |
tensorflow.ApplyAdadelta
\defgroup training_ops Training Ops
\{
|
static class |
tensorflow.ApplyAdagrad
Update '*var' according to the adagrad scheme.
|
static class |
tensorflow.ApplyAdagradDA
Update '*var' according to the proximal adagrad scheme.
|
static class |
tensorflow.ApplyAdam
Update '*var' according to the Adam algorithm.
|
static class |
tensorflow.ApplyAddSign
Update '*var' according to the AddSign update.
|
static class |
tensorflow.ApplyCenteredRMSProp
Update '*var' according to the centered RMSProp algorithm.
|
static class |
tensorflow.ApplyFtrl
Update '*var' according to the Ftrl-proximal scheme.
|
static class |
tensorflow.ApplyFtrlV2
Update '*var' according to the Ftrl-proximal scheme.
|
static class |
tensorflow.ApplyGradientDescent
Update '*var' by subtracting 'alpha' * 'delta' from it.
|
static class |
tensorflow.ApplyMomentum
Update '*var' according to the momentum scheme.
|
static class |
tensorflow.ApplyPowerSign
Update '*var' according to the AddSign update.
|
static class |
tensorflow.ApplyProximalAdagrad
Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
|
static class |
tensorflow.ApplyProximalGradientDescent
Update '*var' as FOBOS algorithm with fixed learning rate.
|
static class |
tensorflow.ApplyRMSProp
Update '*var' according to the RMSProp algorithm.
|
static class |
tensorflow.ApproximateEqual
Returns the truth value of abs(x-y) < tolerance element-wise.
|
static class |
tensorflow.Arena |
static class |
tensorflow.ArenaOptions |
static class |
tensorflow.ArenaStringPtr |
static class |
tensorflow.ArgMax
Returns the index with the largest value across dimensions of a tensor.
|
static class |
tensorflow.ArgMin
Returns the index with the smallest value across dimensions of a tensor.
|
static class |
tensorflow.Asin
Computes asin of x element-wise.
|
static class |
tensorflow.Asinh
Computes inverse hyperbolic sine of x element-wise.
|
static class |
tensorflow.Assert
\defgroup logging_ops Logging Ops
\{
|
static class |
tensorflow.AssetFileDef |
static class |
tensorflow.Assign
\defgroup state_ops State Ops
\{
|
static class |
tensorflow.AssignAdd
Update 'ref' by adding 'value' to it.
|
static class |
tensorflow.AssignSub
Update 'ref' by subtracting 'value' from it.
|
static class |
tensorflow.AsString
\defgroup string_ops String Ops
\{
|
static class |
tensorflow.AsyncOpKernel |
static class |
tensorflow.Atan
Computes atan of x element-wise.
|
static class |
tensorflow.Atan2
Computes arctangent of
y/x element-wise, respecting signs of the arguments. |
static class |
tensorflow.Atanh
Computes inverse hyperbolic tangent of x element-wise.
|
static class |
tensorflow.AttrSlice |
static class |
tensorflow.AttrValue |
static class |
tensorflow.AttrValue_ListValue |
static class |
tensorflow.AudioSummary
Outputs a
Summary protocol buffer with audio. |
static class |
tensorflow.AutoParallelOptions |
static class |
tensorflow.AvgPool
\defgroup nn_ops Nn Ops
\{
|
static class |
tensorflow.AvgPool3D
Performs 3D average pooling on the input.
|
static class |
tensorflow.AvgPool3DGrad
Computes gradients of average pooling function.
|
static class |
tensorflow.Barrier
Defines a barrier that persists across different graph executions.
|
static class |
tensorflow.BarrierClose
Closes the given barrier.
|
static class |
tensorflow.BarrierIncompleteSize
Computes the number of incomplete elements in the given barrier.
|
static class |
tensorflow.BarrierInsertMany
For each key, assigns the respective value to the specified component.
|
static class |
tensorflow.BarrierReadySize
Computes the number of complete elements in the given barrier.
|
static class |
tensorflow.BarrierTakeMany
Takes the given number of completed elements from a barrier.
|
static class |
tensorflow.BatchMatMul
Multiplies slices of two tensors in batches.
|
static class |
tensorflow.BatchToSpace
\defgroup array_ops Array Ops
\{
|
static class |
tensorflow.BatchToSpaceND
BatchToSpace for N-D tensors of type T.
|
static class |
tensorflow.BesselI0e
Computes the Bessel i0e function of
x element-wise. |
static class |
tensorflow.BesselI1e
Computes the Bessel i1e function of
x element-wise. |
static class |
tensorflow.Betainc
Compute the regularized incomplete beta integral \\(I_x(a, b)\\).
|
static class |
tensorflow.bfloat16 |
static class |
tensorflow.bfloat16NumTraits |
static class |
tensorflow.BiasAdd
Adds
bias to value. |
static class |
tensorflow.BiasAddGrad
The backward operation for "BiasAdd" on the "bias" tensor.
|
static class |
tensorflow.Bincount
Counts the number of occurrences of each value in an integer array.
|
static class |
tensorflow.Bitcast
Bitcasts a tensor from one type to another without copying data.
|
static class |
tensorflow.BroadcastDynamicShape
Return the shape of s0 op s1 with broadcast.
|
static class |
tensorflow.BroadcastTo
Broadcast an array for a compatible shape.
|
static class |
tensorflow.Bucketize
Bucketizes 'input' based on 'boundaries'.
|
static class |
tensorflow.BundleReader |
static class |
tensorflow.BundleWriter |
static class |
tensorflow.BytesList |
static class |
tensorflow.CallableOptions |
static class |
tensorflow.CallableOptions_FeedDevicesEntry_DoNotUse |
static class |
tensorflow.CallableOptions_FetchDevicesEntry_DoNotUse |
static class |
tensorflow.CallFrameInterface |
static class |
tensorflow.CancellationManager |
static class |
tensorflow.CastOp
Cast x of type SrcT to y of DstT.
|
static class |
tensorflow.Ceil
Returns element-wise smallest integer not less than x.
|
static class |
tensorflow.CheckNumerics
Checks a tensor for NaN and Inf values.
|
static class |
tensorflow.CheckpointReader |
static class |
tensorflow.Cholesky
\defgroup linalg_ops Linalg Ops
\{
|
static class |
tensorflow.CholeskyGrad
Computes the reverse mode backpropagated gradient of the Cholesky algorithm.
|
static class |
tensorflow.ClipByValue
Clips tensor values to a specified min and max.
|
static class |
tensorflow.ClusterDef |
static class |
tensorflow.CodedInputStream |
static class |
tensorflow.CodedOutputStream |
static class |
tensorflow.CollectionDef |
static class |
tensorflow.CollectionDef_AnyList |
static class |
tensorflow.CollectionDef_BytesList |
static class |
tensorflow.CollectionDef_FloatList |
static class |
tensorflow.CollectionDef_Int64List |
static class |
tensorflow.CollectionDef_NodeList |
static class |
tensorflow.CollectiveExecutor |
static class |
tensorflow.CompareAndBitpack
Compare values of
input to threshold and pack resulting bits into a uint8. |
static class |
tensorflow.Complex
Converts two real numbers to a complex number.
|
static class |
tensorflow.ComplexAbs
Computes the complex absolute value of a tensor.
|
static class |
tensorflow.ComputeAccidentalHits
Computes the ids of the positions in sampled_candidates that match true_labels.
|
static class |
tensorflow.Concat
Concatenates tensors along one dimension.
|
static class |
tensorflow.ConditionalAccumulator
A conditional accumulator for aggregating gradients.
|
static class |
tensorflow.ConfigProto |
static class |
tensorflow.ConfigProto_DeviceCountEntry_DoNotUse |
static class |
tensorflow.ConfigProto_Experimental |
static class |
tensorflow.Conj
Returns the complex conjugate of a complex number.
|
static class |
tensorflow.ConjugateTranspose
Shuffle dimensions of x according to a permutation and conjugate the result.
|
static class |
tensorflow.ConstDimensionPtrVector |
static class |
tensorflow.ConstTensorPtrVector |
static class |
tensorflow.ControlTrigger
Does nothing.
|
static class |
tensorflow.Conv2D
Computes a 2-D convolution given 4-D
input and filter tensors. |
static class |
tensorflow.Conv2DBackpropFilter
Computes the gradients of convolution with respect to the filter.
|
static class |
tensorflow.Conv2DBackpropInput
Computes the gradients of convolution with respect to the input.
|
static class |
tensorflow.Conv3D
Computes a 3-D convolution given 5-D
input and filter tensors. |
static class |
tensorflow.Conv3DBackpropFilterV2
Computes the gradients of 3-D convolution with respect to the filter.
|
static class |
tensorflow.Conv3DBackpropInputV2
Computes the gradients of 3-D convolution with respect to the input.
|
static class |
tensorflow.CopyThatWorksWithStringPointer |
static class |
tensorflow.Cos
Computes cos of x element-wise.
|
static class |
tensorflow.Cosh
Computes hyperbolic cosine of x element-wise.
|
static class |
tensorflow.CostGraphDef |
static class |
tensorflow.CostGraphDef_Node |
static class |
tensorflow.CostGraphDef_Node_InputInfo |
static class |
tensorflow.CostGraphDef_Node_OutputInfo |
static class |
tensorflow.CountUpTo
Increments 'ref' until it reaches 'limit'.
|
static class |
tensorflow.CropAndResize
Extracts crops from the input image tensor and resizes them.
|
static class |
tensorflow.CropAndResizeGradBoxes
Computes the gradient of the crop_and_resize op wrt the input boxes tensor.
|
static class |
tensorflow.CropAndResizeGradImage
Computes the gradient of the crop_and_resize op wrt the input image tensor.
|
static class |
tensorflow.Cross
Compute the pairwise cross product.
|
static class |
tensorflow.Cumprod
Compute the cumulative product of the tensor
x along axis. |
static class |
tensorflow.Cumsum
Compute the cumulative sum of the tensor
x along axis. |
static class |
tensorflow.DataFormatDimMap
Returns the dimension index in the destination data format given the one in
the source data format.
|
static class |
tensorflow.DataFormatVecPermute
Returns the permuted vector/tensor in the destination data format given the
one in the source data format.
|
static class |
tensorflow.DataTypeSet |
static class |
tensorflow.DataTypeToEnum |
static class |
tensorflow.DataTypeVector |
static class |
tensorflow.Deallocator_Pointer_long_Pointer |
static class |
tensorflow.DebuggedSourceFile |
static class |
tensorflow.DebuggedSourceFiles |
static class |
tensorflow.DebugGradientIdentity
Identity op for gradient debugging.
|
static class |
tensorflow.DebugGradientRefIdentity
Identity op for gradient debugging.
|
static class |
tensorflow.DebugOptions |
static class |
tensorflow.DebugTensorWatch |
static class |
tensorflow.DecodeAndCropJpeg
Decode and Crop a JPEG-encoded image to a uint8 tensor.
|
static class |
tensorflow.DecodeBase64
Decode web-safe base64-encoded strings.
|
static class |
tensorflow.DecodeBmp
Decode the first frame of a BMP-encoded image to a uint8 tensor.
|
static class |
tensorflow.DecodeCompressed
Decompress strings.
|
static class |
tensorflow.DecodeCSV
\defgroup parsing_ops Parsing Ops
\{
|
static class |
tensorflow.DecodeGif
Decode the first frame of a GIF-encoded image to a uint8 tensor.
|
static class |
tensorflow.DecodeJpeg
Decode a JPEG-encoded image to a uint8 tensor.
|
static class |
tensorflow.DecodeJSONExample
Convert JSON-encoded Example records to binary protocol buffer strings.
|
static class |
tensorflow.DecodePng
Decode a PNG-encoded image to a uint8 or uint16 tensor.
|
static class |
tensorflow.DecodeRaw
Reinterpret the bytes of a string as a vector of numbers.
|
static class |
tensorflow.DeepCopy
Makes a copy of
x. |
static class |
tensorflow.DeleteSessionTensor
Delete the tensor specified by its handle in the session.
|
static class |
tensorflow.DepthToSpace
DepthToSpace for tensors of type T.
|
static class |
tensorflow.DepthwiseConv2dNative
Computes a 2-D depthwise convolution given 4-D
input and filter tensors. |
static class |
tensorflow.DepthwiseConv2dNativeBackpropFilter
Computes the gradients of depthwise convolution with respect to the filter.
|
static class |
tensorflow.DepthwiseConv2dNativeBackpropInput
Computes the gradients of depthwise convolution with respect to the input.
|
static class |
tensorflow.Dequantize
Dequantize the 'input' tensor into a float Tensor.
|
static class |
tensorflow.DeserializeManySparse
Deserialize and concatenate
SparseTensors from a serialized minibatch. |
static class |
tensorflow.DeserializeSparse
Deserialize
SparseTensor objects. |
static class |
tensorflow.DestroyTemporaryVariable
Destroys the temporary variable and returns its final value.
|
static class |
tensorflow.Device |
static class |
tensorflow.DeviceAttributes |
static class |
tensorflow.DeviceBase |
static class |
tensorflow.DeviceContext |
static class |
tensorflow.DeviceContextInlinedVector |
static class |
tensorflow.DeviceContextVector |
static class |
tensorflow.DeviceLocality |
static class |
tensorflow.DeviceMgr |
static class |
tensorflow.DeviceName |
static class |
tensorflow.DeviceNameUtils |
static class |
tensorflow.DeviceStepStats |
static class |
tensorflow.DeviceType |
static class |
tensorflow.DeviceTypeVector |
static class |
tensorflow.DeviceVector |
static class |
tensorflow.Diag
Returns a diagonal tensor with a given diagonal values.
|
static class |
tensorflow.DiagPart
Returns the diagonal part of the tensor.
|
static class |
tensorflow.Digamma
Computes Psi, the derivative of Lgamma (the log of the absolute value of
Gamma(x)), element-wise. |
static class |
tensorflow.Dilation2D
Computes the grayscale dilation of 4-D
input and 3-D filter tensors. |
static class |
tensorflow.Dilation2DBackpropFilter
Computes the gradient of morphological 2-D dilation with respect to the filter.
|
static class |
tensorflow.Dilation2DBackpropInput
Computes the gradient of morphological 2-D dilation with respect to the input.
|
static class |
tensorflow.Dimension |
static class |
tensorflow.DimensionHandle |
static class |
tensorflow.DimensionHandlePair |
static class |
tensorflow.DimensionOrConstant |
static class |
tensorflow.DistributedFunctionLibraryRuntime |
static class |
tensorflow.Div
Returns x / y element-wise.
|
static class |
tensorflow.DivNoNan
Returns 0 if the denominator is zero.
|
static class |
tensorflow.DrawBoundingBoxes
Draw bounding boxes on a batch of images.
|
static class |
tensorflow.DynamicPartition
Partitions
data into num_partitions tensors using indices from partitions. |
static class |
tensorflow.DynamicStitch
Interleave the values from the
data tensors into a single tensor. |
static class |
tensorflow.Edge |
static class |
tensorflow.EdgeSet |
static class |
tensorflow.EdgeSetBoolPair |
static class |
tensorflow.EdgeSetIterator |
static class |
tensorflow.EdgeSetTest |
static class |
tensorflow.EdgeVector |
static class |
tensorflow.EditDistance
Computes the (possibly normalized) Levenshtein Edit Distance.
|
static class |
tensorflow.Elu
Computes exponential linear:
exp(features) - 1 if < 0, features otherwise. |
static class |
tensorflow.Empty
Creates a tensor with the given shape.
|
static class |
tensorflow.EncodeBase64
Encode strings into web-safe base64 format.
|
static class |
tensorflow.EncodeJpeg
JPEG-encode an image.
|
static class |
tensorflow.EncodePng
PNG-encode an image.
|
static class |
tensorflow.EnsureShape
Ensures that the tensor's shape matches the expected shape.
|
static class |
tensorflow.EnumToDataType |
static class |
tensorflow.Env
\brief An interface used by the tensorflow implementation to
access operating system functionality like the filesystem etc.
|
static class |
tensorflow.EnvWrapper
\brief An implementation of Env that forwards all calls to another Env.
|
static class |
tensorflow.Equal
Returns the truth value of (x == y) element-wise.
|
static class |
tensorflow.Erf
Computes the Gauss error function of
x element-wise. |
static class |
tensorflow.Erfc
Computes the complementary error function of
x element-wise. |
static class |
tensorflow.EventMgr |
static class |
tensorflow.Example |
static class |
tensorflow.Exp
Computes exponential of x element-wise.
|
static class |
tensorflow.ExpandDims
Inserts a dimension of 1 into a tensor's shape.
|
static class |
tensorflow.Expm1
Computes exponential of x - 1 element-wise.
|
static class |
tensorflow.ExtractGlimpse
Extracts a glimpse from the input tensor.
|
static class |
tensorflow.ExtractImagePatches
Extract
patches from images and put them in the "depth" output dimension. |
static class |
tensorflow.ExtractJpegShape
Extract the shape information of a JPEG-encoded image.
|
static class |
tensorflow.ExtractVolumePatches
Extract
patches from input and put them in the "depth" output
dimension. |
static class |
tensorflow.Fact
\defgroup user_ops User Ops
\{
|
static class |
tensorflow.FakeQuantWithMinMaxArgs
Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.
|
static class |
tensorflow.FakeQuantWithMinMaxArgsGradient
Compute gradients for a FakeQuantWithMinMaxArgs operation.
|
static class |
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. |
static class |
tensorflow.FakeQuantWithMinMaxVarsGradient
Compute gradients for a FakeQuantWithMinMaxVars operation.
|
static class |
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. |
static class |
tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient
Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
|
static class |
tensorflow.FalseOpDefBuilderWrapper |
static class |
tensorflow.Feature |
static class |
tensorflow.FeatureList |
static class |
tensorflow.FeatureLists |
static class |
tensorflow.FeatureLists_FeatureListEntry_DoNotUse |
static class |
tensorflow.Features |
static class |
tensorflow.Features_FeatureEntry_DoNotUse |
static class |
tensorflow.FIFOQueue
A queue that produces elements in first-in first-out order.
|
static class |
tensorflow.FileOutputBuffer |
static class |
tensorflow.FileStatistics |
static class |
tensorflow.FileSystem
A generic interface for accessing a file system.
|
static class |
tensorflow.FileSystemRegistry
\brief A registry for file system implementations.
|
static class |
tensorflow.Fill
Creates a tensor filled with a scalar value.
|
static class |
tensorflow.FixedLengthRecordReader
\defgroup io_ops Io Ops
\{
|
static class |
tensorflow.FixedUnigramCandidateSampler
Generates labels for candidate sampling with a learned unigram distribution.
|
static class |
tensorflow.FloatList |
static class |
tensorflow.Floor
Returns element-wise largest integer not greater than x.
|
static class |
tensorflow.FloorDiv
Returns x // y element-wise.
|
static class |
tensorflow.FloorMod
Returns element-wise remainder of division.
|
static class |
tensorflow.FractionalAvgPool
Performs fractional average pooling on the input.
|
static class |
tensorflow.FractionalMaxPool
Performs fractional max pooling on the input.
|
static class |
tensorflow.FrameAndIter |
static class |
tensorflow.FrameAndIterHash |
static class |
tensorflow.FunctionBody |
static class |
tensorflow.FunctionCallFrame |
static class |
tensorflow.FunctionDef |
static class |
tensorflow.FunctionDef_AttrEntry_DoNotUse |
static class |
tensorflow.FunctionDef_RetEntry_DoNotUse |
static class |
tensorflow.FunctionDefHelper |
static class |
tensorflow.FunctionDefLibrary |
static class |
tensorflow.FunctionLibraryDefinition |
static class |
tensorflow.FunctionLibraryRuntime |
static class |
tensorflow.FusedBatchNorm
Batch normalization.
|
static class |
tensorflow.FusedBatchNormGrad
Gradient for batch normalization.
|
static class |
tensorflow.FusedBatchNormGradV2
Gradient for batch normalization.
|
static class |
tensorflow.FusedBatchNormV2
Batch normalization.
|
static class |
tensorflow.FusedPadConv2D
Performs a padding as a preprocess during a convolution.
|
static class |
tensorflow.FusedResizeAndPadConv2D
Performs a resize and padding as a preprocess during a convolution.
|
static class |
tensorflow.Gather
Gather slices from
params according to indices. |
static class |
tensorflow.GatherNd
Gather slices from
params into a Tensor with shape specified by indices. |
static class |
tensorflow.GatherV2
Gather slices from
params axis axis according to indices. |
static class |
tensorflow.GetSessionHandle
Store the input tensor in the state of the current session.
|
static class |
tensorflow.GetSessionHandleV2
Store the input tensor in the state of the current session.
|
static class |
tensorflow.GetSessionTensor
Get the value of the tensor specified by its handle.
|
static class |
tensorflow.GpuDevice |
static class |
tensorflow.GPUOptions |
static class |
tensorflow.GPUOptions_Experimental |
static class |
tensorflow.GPUOptions_Experimental_VirtualDevices |
static class |
tensorflow.GradientDef |
static class |
tensorflow.Graph |
static class |
tensorflow.GraphConstructorOptions |
static class |
tensorflow.GraphDef |
static class |
tensorflow.GraphDefBuilder |
static class |
tensorflow.GraphEdgesIterable |
static class |
tensorflow.GraphOptions |
static class |
tensorflow.GraphProperties |
static class |
tensorflow.GraphRunner |
static class |
tensorflow.Greater
Returns the truth value of (x > y) element-wise.
|
static class |
tensorflow.GreaterEqual
Returns the truth value of (x >= y) element-wise.
|
static class |
tensorflow.GuaranteeConst
Gives a guarantee to the TF runtime that the input tensor is a constant.
|
static class |
tensorflow.HalfHash |
static class |
tensorflow.HistogramFixedWidth
Return histogram of values.
|
static class |
tensorflow.HistogramSummary
Outputs a
Summary protocol buffer with a histogram. |
static class |
tensorflow.HSVToRGB
Convert one or more images from HSV to RGB.
|
static class |
tensorflow.Identity
Return a tensor with the same shape and contents as the input tensor or value.
|
static class |
tensorflow.IdentityN
Returns a list of tensors with the same shapes and contents as the input
tensors.
|
static class |
tensorflow.IdentityReader
A Reader that outputs the queued work as both the key and value.
|
static class |
tensorflow.Igamma
Compute the lower regularized incomplete Gamma function
P(a, x). |
static class |
tensorflow.Igammac
Compute the upper regularized incomplete Gamma function
Q(a, x). |
static class |
tensorflow.Imag
Returns the imaginary part of a complex number.
|
static class |
tensorflow.ImageSummary
Outputs a
Summary protocol buffer with images. |
static class |
tensorflow.ImmutableConst
Returns immutable tensor from memory region.
|
static class |
tensorflow.ImportGraphDefOptions |
static class |
tensorflow.ImportGraphDefResults |
static class |
tensorflow.InferenceContext |
static class |
tensorflow.InplaceAdd
Adds v into specified rows of x.
|
static class |
tensorflow.InplaceSub
Subtracts
v into specified rows of x. |
static class |
tensorflow.InplaceUpdate
Updates specified rows with values in
v. |
static class |
tensorflow.Input
Represents a tensor value that can be used as an operand to an Operation.
|
static class |
tensorflow.InputList
A type for representing the input to ops that require a list of tensors.
|
static class |
tensorflow.InputStreamInterface |
static class |
tensorflow.InputTensor |
static class |
tensorflow.InstantiationResult |
static class |
tensorflow.Int64List |
static class |
tensorflow.InterconnectLink |
static class |
tensorflow.InternalMetadataWithArena |
static class |
tensorflow.InTopK
Says whether the targets are in the top
K predictions. |
static class |
tensorflow.InTopKV2
Says whether the targets are in the top
K predictions. |
static class |
tensorflow.IntStringMap |
static class |
tensorflow.Inv
Computes the reciprocal of x element-wise.
|
static class |
tensorflow.InvertPermutation
Computes the inverse permutation of a tensor.
|
static class |
tensorflow.IsFinite
Returns which elements of x are finite.
|
static class |
tensorflow.IsInf
Returns which elements of x are Inf.
|
static class |
tensorflow.IsNan
Returns which elements of x are NaN.
|
static class |
tensorflow.IsValidDataType |
static class |
tensorflow.IsVariableInitialized
Checks whether a tensor has been initialized.
|
static class |
tensorflow.JobDef |
static class |
tensorflow.JobDef_TasksEntry_DoNotUse |
static class |
tensorflow.KernelDef |
static class |
tensorflow.KernelDef_AttrConstraint |
static class |
tensorflow.KernelDefBuilder |
static class |
tensorflow.KernelList |
static class |
tensorflow.L2Loss
L2 Loss.
|
static class |
tensorflow.LazyField |
static class |
tensorflow.LearnedUnigramCandidateSampler
Generates labels for candidate sampling with a learned unigram distribution.
|
static class |
tensorflow.Less
Returns the truth value of (x < y) element-wise.
|
static class |
tensorflow.LessEqual
Returns the truth value of (x <= y) element-wise.
|
static class |
tensorflow.Lgamma
Computes the log of the absolute value of
Gamma(x) element-wise. |
static class |
tensorflow.LinSpace
Generates values in an interval.
|
static class |
tensorflow.LMDBReader
A Reader that outputs the records from a LMDB file.
|
static class |
tensorflow.LocalLinks |
static class |
tensorflow.Log
Computes natural logarithm of x element-wise.
|
static class |
tensorflow.Log1p
Computes natural logarithm of (1 + x) element-wise.
|
static class |
tensorflow.LogicalAnd
Returns the truth value of x AND y element-wise.
|
static class |
tensorflow.LogicalNot
Returns the truth value of NOT x element-wise.
|
static class |
tensorflow.LogicalOr
Returns the truth value of x OR y element-wise.
|
static class |
tensorflow.LogMatrixDeterminant
Computes the sign and the log of the absolute value of the determinant of
one or more square matrices.
|
static class |
tensorflow.LogSoftmax
Computes log softmax activations.
|
static class |
tensorflow.LogUniformCandidateSampler
Generates labels for candidate sampling with a log-uniform distribution.
|
static class |
tensorflow.LongLongPair |
static class |
tensorflow.LongVector |
static class |
tensorflow.LoopCond
Forwards the input to the output.
|
static class |
tensorflow.LRN
Local Response Normalization.
|
static class |
tensorflow.MapClear
Op removes all elements in the underlying container.
|
static class |
tensorflow.MapIncompleteSize
Op returns the number of incomplete elements in the underlying container.
|
static class |
tensorflow.MapPeek
Op peeks at the values at the specified key.
|
static class |
tensorflow.MapSize
Op returns the number of elements in the underlying container.
|
static class |
tensorflow.MapStage
Stage (key, values) in the underlying container which behaves like a hashtable.
|
static class |
tensorflow.MapUnstage
Op removes and returns the values associated with the key
from the underlying container.
|
static class |
tensorflow.MapUnstageNoKey
Op removes and returns a random (key, value)
from the underlying container.
|
static class |
tensorflow.MatchingFiles
Returns the set of files matching one or more glob patterns.
|
static class |
tensorflow.MatMul
Multiply the matrix "a" by the matrix "b".
|
static class |
tensorflow.MatrixBandPart
Copy a tensor setting everything outside a central band in each innermost matrix
to zero.
|
static class |
tensorflow.MatrixDeterminant
Computes the determinant of one or more square matrices.
|
static class |
tensorflow.MatrixDiag
Returns a batched diagonal tensor with a given batched diagonal values.
|
static class |
tensorflow.MatrixDiagPart
Returns the batched diagonal part of a batched tensor.
|
static class |
tensorflow.MatrixInverse
Computes the inverse of one or more square invertible matrices or their
adjoints (conjugate transposes).
|
static class |
tensorflow.MatrixSetDiag
Returns a batched matrix tensor with new batched diagonal values.
|
static class |
tensorflow.MatrixSolve
Solves systems of linear equations.
|
static class |
tensorflow.MatrixSolveLs
Solves one or more linear least-squares problems.
|
static class |
tensorflow.MatrixTriangularSolve
Solves systems of linear equations with upper or lower triangular matrices by
backsubstitution.
|
static class |
tensorflow.Max
Computes the maximum of elements across dimensions of a tensor.
|
static class |
tensorflow.Maximum
Returns the max of x and y (i.e.
|
static class |
tensorflow.MaxPool
Performs max pooling on the input.
|
static class |
tensorflow.MaxPool3D
Performs 3D max pooling on the input.
|
static class |
tensorflow.MaxPool3DGrad
Computes gradients of max pooling function.
|
static class |
tensorflow.MaxPool3DGradGrad
Computes second-order gradients of the maxpooling function.
|
static class |
tensorflow.MaxPoolGradGrad
Computes second-order gradients of the maxpooling function.
|
static class |
tensorflow.MaxPoolGradGradV2
Computes second-order gradients of the maxpooling function.
|
static class |
tensorflow.MaxPoolGradGradWithArgmax
Computes second-order gradients of the maxpooling function.
|
static class |
tensorflow.MaxPoolGradV2
Computes gradients of the maxpooling function.
|
static class |
tensorflow.MaxPoolV2
Performs max pooling on the input.
|
static class |
tensorflow.MaxPoolWithArgmax
Performs max pooling on the input and outputs both max values and indices.
|
static class |
tensorflow.Mean
Computes the mean of elements across dimensions of a tensor.
|
static class |
tensorflow.MemoryStats |
static class |
tensorflow.Merge
Forwards the value of an available tensor from
inputs to output. |
static class |
tensorflow.MergeSummary
Merges summaries.
|
static class |
tensorflow.MergeV2Checkpoints
V2 format specific: merges the metadata files of sharded checkpoints.
|
static class |
tensorflow.MessageLite |
static class |
tensorflow.MessageSetFieldSkipperUsingCord |
static class |
tensorflow.MetaGraphDef |
static class |
tensorflow.MetaGraphDef_CollectionDefEntry_DoNotUse |
static class |
tensorflow.MetaGraphDef_MetaInfoDef |
static class |
tensorflow.MetaGraphDef_SignatureDefEntry_DoNotUse |
static class |
tensorflow.Min
Computes the minimum of elements across dimensions of a tensor.
|
static class |
tensorflow.Minimum
Returns the min of x and y (i.e.
|
static class |
tensorflow.MirrorPad
Pads a tensor with mirrored values.
|
static class |
tensorflow.Mod
Returns element-wise remainder of division.
|
static class |
tensorflow.Multinomial
\defgroup random_ops Random Ops
\{
|
static class |
tensorflow.Multiply
Returns x * y element-wise.
|
static class |
tensorflow.NameAttrList |
static class |
tensorflow.NameAttrList_AttrEntry_DoNotUse |
static class |
tensorflow.NameRangeMap |
static class |
tensorflow.Negate
Computes numerical negative value element-wise.
|
static class |
tensorflow.NeighborIter |
static class |
tensorflow.NeighborIterRange |
static class |
tensorflow.NextIteration
Makes its input available to the next iteration.
|
static class |
tensorflow.Node |
static class |
tensorflow.NodeBuilder |
static class |
tensorflow.NodeDef |
static class |
tensorflow.NodeDef_AttrEntry_DoNotUse |
static class |
tensorflow.NodeDefBuilder |
static class |
tensorflow.NodeExecStats |
static class |
tensorflow.NodeIndexPair |
static class |
tensorflow.NodeIntPairVector |
static class |
tensorflow.NodeIter |
static class |
tensorflow.NodeIterRange |
static class |
tensorflow.NodeOut |
static class |
tensorflow.NodeOutput |
static class |
tensorflow.NodeOutVector |
static class |
tensorflow.NodeProperties |
static class |
tensorflow.NodeVector |
static class |
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.
|
static class |
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.
|
static class |
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.
|
static class |
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.
|
static class |
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.
|
static class |
tensorflow.NoOp
\defgroup no_op No Op
\{
|
static class |
tensorflow.NotEqual
Returns the truth value of (x != y) element-wise.
|
static class |
tensorflow.NthElement
Finds values of the
n-th order statistic for the last dimension. |
static class |
tensorflow.OneHot
Returns a one-hot tensor.
|
static class |
tensorflow.OnesLike
Returns a tensor of ones with the same shape and type as x.
|
static class |
tensorflow.OpDef |
static class |
tensorflow.OpDef_ArgDef |
static class |
tensorflow.OpDef_AttrDef |
static class |
tensorflow.OpDefBuilder |
static class |
tensorflow.OpDefBuilderReceiver |
static class |
tensorflow.OpDefVector |
static class |
tensorflow.OpDeprecation |
static class |
tensorflow.Operation
\addtogroup core
\{
|
static class |
tensorflow.OpInputList |
static class |
tensorflow.OpKernel |
static class |
tensorflow.OpKernelConstruction |
static class |
tensorflow.OpKernelContext |
static class |
tensorflow.OpKernelRegistrar |
static class |
tensorflow.OpList |
static class |
tensorflow.OpListOpRegistry |
static class |
tensorflow.OpMutableInputList |
static class |
tensorflow.OpOutputList |
static class |
tensorflow.OpRegistrationData |
static class |
tensorflow.OpRegistry |
static class |
tensorflow.OpRegistryInterface |
static class |
tensorflow.OpSegment |
static class |
tensorflow.OptimizerOptions |
static class |
tensorflow.OrderedMapClear
Op removes all elements in the underlying container.
|
static class |
tensorflow.OrderedMapIncompleteSize
Op returns the number of incomplete elements in the underlying container.
|
static class |
tensorflow.OrderedMapPeek
Op peeks at the values at the specified key.
|
static class |
tensorflow.OrderedMapSize
Op returns the number of elements in the underlying container.
|
static class |
tensorflow.OrderedMapStage
Stage (key, values) in the underlying container which behaves like a ordered
associative container.
|
static class |
tensorflow.OrderedMapUnstage
Op removes and returns the values associated with the key
from the underlying container.
|
static class |
tensorflow.OrderedMapUnstageNoKey
Op removes and returns the (key, value) element with the smallest
key from the underlying container.
|
static class |
tensorflow.Output
Represents a tensor value produced by an Operation.
|
static class |
tensorflow.OutputHash
Hash class that can be used for e.g.
|
static class |
tensorflow.OutputTensor |
static class |
tensorflow.OutputVector |
static class |
tensorflow.Pad
Pads a tensor with zeros.
|
static class |
tensorflow.PaddingFIFOQueue
A queue that produces elements in first-in first-out order.
|
static class |
tensorflow.PadV2
Pads a tensor.
|
static class |
tensorflow.ParallelConcat
Concatenates a list of
N tensors along the first dimension. |
static class |
tensorflow.ParallelDynamicStitch
Interleave the values from the
data tensors into a single tensor. |
static class |
tensorflow.ParameterizedTruncatedNormal
Outputs random values from a normal distribution.
|
static class |
tensorflow.ParseExample
Transforms a vector of brain.Example protos (as strings) into typed tensors.
|
static class |
tensorflow.ParseSequenceExample
Transforms a vector of brain.SequenceExample protos (as strings) into typed tensors.
|
static class |
tensorflow.ParseSingleExample
Transforms a tf.Example proto (as a string) into typed tensors.
|
static class |
tensorflow.ParseSingleSequenceExample
Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors.
|
static class |
tensorflow.ParseTensor
Transforms a serialized tensorflow.TensorProto proto into a Tensor.
|
static class |
tensorflow.PartialTensorShape
Manages the partially known dimensions of a Tensor and their sizes.
|
static class |
tensorflow.PartialTensorShapeUtils
\brief Static helper routines for
PartialTensorShape. |
static class |
tensorflow.PerOpGpuDevice |
static class |
tensorflow.PersistentTensor |
static class |
tensorflow.Placeholder
A placeholder op for a value that will be fed into the computation.
|
static class |
tensorflow.PlaceholderWithDefault
A placeholder op that passes through
input when its output is not fed. |
static class |
tensorflow.Polygamma
Compute the polygamma function \\(\psi^{(n)}(x)\\).
|
static class |
tensorflow.Pow
Computes the power of one value to another.
|
static class |
tensorflow.PreventGradient
An identity op that triggers an error if a gradient is requested.
|
static class |
tensorflow.Print
Prints a list of tensors.
|
static class |
tensorflow.PrintV2
Prints a string scalar.
|
static class |
tensorflow.PriorityQueue
A queue that produces elements sorted by the first component value.
|
static class |
tensorflow.ProcessFunctionLibraryRuntime |
static class |
tensorflow.Prod
Computes the product of elements across dimensions of a tensor.
|
static class |
tensorflow.Qr
Computes the QR decompositions of one or more matrices.
|
static class |
tensorflow.QuantizeAndDequantizeV2
Quantizes then dequantizes a tensor.
|
static class |
tensorflow.QuantizeAndDequantizeV3
Quantizes then dequantizes a tensor.
|
static class |
tensorflow.QuantizedAdd
Returns x + y element-wise, working on quantized buffers.
|
static class |
tensorflow.QuantizedAvgPool
Produces the average pool of the input tensor for quantized types.
|
static class |
tensorflow.QuantizedBatchNormWithGlobalNormalization
Quantized Batch normalization.
|
static class |
tensorflow.QuantizedBiasAdd
Adds Tensor 'bias' to Tensor 'input' for Quantized types.
|
static class |
tensorflow.QuantizedConcat
Concatenates quantized tensors along one dimension.
|
static class |
tensorflow.QuantizedConv2D
Computes a 2D convolution given quantized 4D input and filter tensors.
|
static class |
tensorflow.QuantizedInstanceNorm
Quantized Instance normalization.
|
static class |
tensorflow.QuantizedMatMul
Perform a quantized matrix multiplication of
a by the matrix b. |
static class |
tensorflow.QuantizedMaxPool
Produces the max pool of the input tensor for quantized types.
|
static class |
tensorflow.QuantizedMul
Returns x * y element-wise, working on quantized buffers.
|
static class |
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.
|
static class |
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. |
static class |
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. |
static class |
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. |
static class |
tensorflow.QuantizedReshape
Reshapes a quantized tensor as per the Reshape op.
|
static class |
tensorflow.QuantizedResizeBilinear
Resize quantized
images to size using quantized bilinear interpolation. |
static class |
tensorflow.QuantizeV2
Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
|
static class |
tensorflow.QueueClose
Closes the given queue.
|
static class |
tensorflow.QueueDequeue
Dequeues a tuple of one or more tensors from the given queue.
|
static class |
tensorflow.QueueDequeueMany
Dequeues
n tuples of one or more tensors from the given queue. |
static class |
tensorflow.QueueDequeueUpTo
Dequeues
n tuples of one or more tensors from the given queue. |
static class |
tensorflow.QueueEnqueue
Enqueues a tuple of one or more tensors in the given queue.
|
static class |
tensorflow.QueueEnqueueMany
Enqueues zero or more tuples of one or more tensors in the given queue.
|
static class |
tensorflow.QueueIsClosed
Returns true if queue is closed.
|
static class |
tensorflow.QueueIsClosedV2
Returns true if queue is closed.
|
static class |
tensorflow.QueueSize
Computes the number of elements in the given queue.
|
static class |
tensorflow.RandomAccessFile
A file abstraction for randomly reading the contents of a file.
|
static class |
tensorflow.RandomGamma
Outputs random values from the Gamma distribution(s) described by alpha.
|
static class |
tensorflow.RandomNormal
Outputs random values from a normal distribution.
|
static class |
tensorflow.RandomPoissonV2
Outputs random values from the Poisson distribution(s) described by rate.
|
static class |
tensorflow.RandomShuffle
Randomly shuffles a tensor along its first dimension.
|
static class |
tensorflow.RandomShuffleQueue
A queue that randomizes the order of elements.
|
static class |
tensorflow.RandomUniform
Outputs random values from a uniform distribution.
|
static class |
tensorflow.RandomUniformInt
Outputs random integers from a uniform distribution.
|
static class |
tensorflow.Range
Creates a sequence of numbers.
|
static class |
tensorflow.Rank
Returns the rank of a tensor.
|
static class |
tensorflow.ReaderNumRecordsProduced
Returns the number of records this Reader has produced.
|
static class |
tensorflow.ReaderNumWorkUnitsCompleted
Returns the number of work units this Reader has finished processing.
|
static class |
tensorflow.ReaderRead
Returns the next record (key, value pair) produced by a Reader.
|
static class |
tensorflow.ReaderReadUpTo
Returns up to
num_records (key, value) pairs produced by a Reader. |
static class |
tensorflow.ReaderReset
Restore a Reader to its initial clean state.
|
static class |
tensorflow.ReaderRestoreState
Restore a reader to a previously saved state.
|
static class |
tensorflow.ReaderSerializeState
Produce a string tensor that encodes the state of a Reader.
|
static class |
tensorflow.ReadFile
Reads and outputs the entire contents of the input filename.
|
static class |
tensorflow.ReadOnlyMemoryRegion
\brief A readonly memmapped file abstraction.
|
static class |
tensorflow.Real
Returns the real part of a complex number.
|
static class |
tensorflow.RealDiv
Returns x / y element-wise for real types.
|
static class |
tensorflow.Reciprocal
Computes the reciprocal of x element-wise.
|
static class |
tensorflow.RecordInput
Emits randomized records.
|
static class |
tensorflow.RecordReader |
static class |
tensorflow.RecordReaderOptions |
static class |
tensorflow.RecordWriter |
static class |
tensorflow.RecordWriterOptions |
static class |
tensorflow.ReduceJoin
Joins a string Tensor across the given dimensions.
|
static class |
tensorflow.RefNextIteration
Makes its input available to the next iteration.
|
static class |
tensorflow.RefSelect
Forwards the
indexth element of inputs to output. |
static class |
tensorflow.RefSwitch
Forwards the ref tensor
data to the output port determined by pred. |
static class |
tensorflow.RegexFullMatch
Check if the input matches the regex pattern.
|
static class |
tensorflow.RegexReplace
Replaces the match of pattern in input with rewrite.
|
static class |
tensorflow.RegisterKernelName |
static class |
tensorflow.RegisterKernelSystemName |
static class |
tensorflow.Relu
Computes rectified linear:
max(features, 0). |
static class |
tensorflow.Relu6
Computes rectified linear 6:
min(max(features, 0), 6). |
static class |
tensorflow.Rendezvous |
static class |
tensorflow.RepeatedPtrFieldBase |
static class |
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.
|
static class |
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'.
|
static class |
tensorflow.Reshape
Reshapes a tensor.
|
static class |
tensorflow.ResizeArea
Resize
images to size using area interpolation. |
static class |
tensorflow.ResizeBicubic
Resize
images to size using bicubic interpolation. |
static class |
tensorflow.ResizeBilinear
Resize
images to size using bilinear interpolation. |
static class |
tensorflow.ResizeNearestNeighbor
Resize
images to size using nearest neighbor interpolation. |
static class |
tensorflow.ResourceApplyAdadelta
Update '*var' according to the adadelta scheme.
|
static class |
tensorflow.ResourceApplyAdagrad
Update '*var' according to the adagrad scheme.
|
static class |
tensorflow.ResourceApplyAdagradDA
Update '*var' according to the proximal adagrad scheme.
|
static class |
tensorflow.ResourceApplyAdam
Update '*var' according to the Adam algorithm.
|
static class |
tensorflow.ResourceApplyAddSign
Update '*var' according to the AddSign update.
|
static class |
tensorflow.ResourceApplyCenteredRMSProp
Update '*var' according to the centered RMSProp algorithm.
|
static class |
tensorflow.ResourceApplyFtrl
Update '*var' according to the Ftrl-proximal scheme.
|
static class |
tensorflow.ResourceApplyFtrlV2
Update '*var' according to the Ftrl-proximal scheme.
|
static class |
tensorflow.ResourceApplyGradientDescent
Update '*var' by subtracting 'alpha' * 'delta' from it.
|
static class |
tensorflow.ResourceApplyMomentum
Update '*var' according to the momentum scheme.
|
static class |
tensorflow.ResourceApplyPowerSign
Update '*var' according to the AddSign update.
|
static class |
tensorflow.ResourceApplyProximalAdagrad
Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
|
static class |
tensorflow.ResourceApplyProximalGradientDescent
Update '*var' as FOBOS algorithm with fixed learning rate.
|
static class |
tensorflow.ResourceApplyRMSProp
Update '*var' according to the RMSProp algorithm.
|
static class |
tensorflow.ResourceCountUpTo
Increments variable pointed to by 'resource' until it reaches 'limit'.
|
static class |
tensorflow.ResourceHandleProto |
static class |
tensorflow.ResourceMgr |
static class |
tensorflow.ResourceScatterNdAdd
Adds sparse
updates to individual values or slices within a given
variable according to indices. |
static class |
tensorflow.ResourceScatterNdUpdate
Applies sparse
updates to individual values or slices within a given
variable according to indices. |
static class |
tensorflow.ResourceSparseApplyAdadelta
var: Should be from a Variable().
|
static class |
tensorflow.ResourceSparseApplyAdagrad
Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
|
static class |
tensorflow.ResourceSparseApplyAdagradDA
Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
|
static class |
tensorflow.ResourceSparseApplyCenteredRMSProp
Update '*var' according to the centered RMSProp algorithm.
|
static class |
tensorflow.ResourceSparseApplyFtrl
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
|
static class |
tensorflow.ResourceSparseApplyFtrlV2
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
|
static class |
tensorflow.ResourceSparseApplyMomentum
Update relevant entries in '*var' and '*accum' according to the momentum scheme.
|
static class |
tensorflow.ResourceSparseApplyProximalAdagrad
Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
|
static class |
tensorflow.ResourceSparseApplyProximalGradientDescent
Sparse update '*var' as FOBOS algorithm with fixed learning rate.
|
static class |
tensorflow.ResourceSparseApplyRMSProp
Update '*var' according to the RMSProp algorithm.
|
static class |
tensorflow.ResourceStridedSliceAssign
Assign
value to the sliced l-value reference of ref. |
static class |
tensorflow.Restore
Restores a tensor from checkpoint files.
|
static class |
tensorflow.RestoreSlice
Restores a tensor from checkpoint files.
|
static class |
tensorflow.RestoreV2
Restores tensors from a V2 checkpoint.
|
static class |
tensorflow.Reverse
Reverses specific dimensions of a tensor.
|
static class |
tensorflow.ReverseSequence
Reverses variable length slices.
|
static class |
tensorflow.RewriterConfig |
static class |
tensorflow.RewriterConfig_CustomGraphOptimizer |
static class |
tensorflow.RewriterConfig_CustomGraphOptimizer_ParameterMapEntry_DoNotUse |
static class |
tensorflow.RGBToHSV
Converts one or more images from RGB to HSV.
|
static class |
tensorflow.Rint
Returns element-wise integer closest to x.
|
static class |
tensorflow.Round
Rounds the values of a tensor to the nearest integer, element-wise.
|
static class |
tensorflow.RPCOptions |
static class |
tensorflow.Rsqrt
Computes reciprocal of square root of x element-wise.
|
static class |
tensorflow.RunMetadata |
static class |
tensorflow.RunOptions |
static class |
tensorflow.RunOptions_Experimental |
static class |
tensorflow.SafeTensorId |
static class |
tensorflow.SafeTensorIdTensorIdMap |
static class |
tensorflow.SampleDistortedBoundingBox
Generate a single randomly distorted bounding box for an image.
|
static class |
tensorflow.SampleDistortedBoundingBoxV2
Generate a single randomly distorted bounding box for an image.
|
static class |
tensorflow.Save
Saves the input tensors to disk.
|
static class |
tensorflow.SavedModelBundle
SavedModel representation once the SavedModel is loaded from storage.
|
static class |
tensorflow.SaverDef |
static class |
tensorflow.SaveSlices
Saves input tensors slices to disk.
|
static class |
tensorflow.SaveV2
Saves tensors in V2 checkpoint format.
|
static class |
tensorflow.ScalarSummary
Outputs a
Summary protocol buffer with scalar values. |
static class |
tensorflow.ScatterAdd
Adds sparse updates to a variable reference.
|
static class |
tensorflow.ScatterDiv
Divides a variable reference by sparse updates.
|
static class |
tensorflow.ScatterMax
Reduces sparse updates into a variable reference using the
max operation. |
static class |
tensorflow.ScatterMin
Reduces sparse updates into a variable reference using the
min operation. |
static class |
tensorflow.ScatterMul
Multiplies sparse updates into a variable reference.
|
static class |
tensorflow.ScatterNd
Scatter
updates into a new tensor according to indices. |
static class |
tensorflow.ScatterNdAdd
Applies sparse addition between
updates and individual values or slices
within a given variable according to indices. |
static class |
tensorflow.ScatterNdNonAliasingAdd
Applies sparse addition to
input using individual values or slices
from updates according to indices indices. |
static class |
tensorflow.ScatterNdSub
Applies sparse subtraction between
updates and individual values or slices
within a given variable according to indices. |
static class |
tensorflow.ScatterNdUpdate
Applies sparse
updates to individual values or slices within a given
variable according to indices. |
static class |
tensorflow.ScatterSub
Subtracts sparse updates to a variable reference.
|
static class |
tensorflow.ScatterUpdate
Applies sparse updates to a variable reference.
|
static class |
tensorflow.Scope
\addtogroup core
\{
|
static class |
tensorflow.ScopedAllocatorMgr |
static class |
tensorflow.ScopedAllocatorOptions |
static class |
tensorflow.ScopedStepContainer |
static class |
tensorflow.SegmentMax
Computes the maximum along segments of a tensor.
|
static class |
tensorflow.SegmentMean
Computes the mean along segments of a tensor.
|
static class |
tensorflow.SegmentMin
Computes the minimum along segments of a tensor.
|
static class |
tensorflow.SegmentProd
Computes the product along segments of a tensor.
|
static class |
tensorflow.SegmentSum
Computes the sum along segments of a tensor.
|
static class |
tensorflow.SelfAdjointEig
Computes the eigen decomposition of one or more square self-adjoint matrices.
|
static class |
tensorflow.Selu
Computes scaled exponential linear:
scale * alpha * (exp(features) - 1)
if < 0, scale * features otherwise. |
static class |
tensorflow.SequenceExample |
static class |
tensorflow.SequentialRecordReader |
static class |
tensorflow.SerializeManySparse
Serialize an
N-minibatch SparseTensor into an [N, 3] Tensor object. |
static class |
tensorflow.SerializeSparse
Serialize a
SparseTensor into a [3] Tensor object. |
static class |
tensorflow.SerializeTensor
Transforms a Tensor into a serialized TensorProto proto.
|
static class |
tensorflow.Session
\brief A Session instance lets a caller drive a TensorFlow graph
computation.
|
static class |
tensorflow.SessionOptions
Configuration information for a Session.
|
static class |
tensorflow.SessionState |
static class |
tensorflow.SetDiff1D
Computes the difference between two lists of numbers or strings.
|
static class |
tensorflow.Shape |
static class |
tensorflow.ShapeAndType |
static class |
tensorflow.ShapeHandle |
static class |
tensorflow.ShapeHandlePair |
static class |
tensorflow.ShapeN
Returns shape of tensors.
|
static class |
tensorflow.ShapeRefiner |
static class |
tensorflow.ShapeRefinerTest |
static class |
tensorflow.ShardedFilename
Generate a sharded filename.
|
static class |
tensorflow.ShardedFilespec
Generate a glob pattern matching all sharded file names.
|
static class |
tensorflow.ShortPointer |
static class |
tensorflow.Sigmoid
Computes sigmoid of
x element-wise. |
static class |
tensorflow.Sign
Returns an element-wise indication of the sign of a number.
|
static class |
tensorflow.SignatureDef |
static class |
tensorflow.SignatureDef_InputsEntry_DoNotUse |
static class |
tensorflow.SignatureDef_OutputsEntry_DoNotUse |
static class |
tensorflow.Sin
Computes sin of x element-wise.
|
static class |
tensorflow.Sinh
Computes hyperbolic sine of x element-wise.
|
static class |
tensorflow.Size
Returns the size of a tensor.
|
static class |
tensorflow.Slice
Return a slice from 'input'.
|
static class |
tensorflow.Snapshot
Returns a copy of the input tensor.
|
static class |
tensorflow.Softmax
Computes softmax activations.
|
static class |
tensorflow.SoftmaxCrossEntropyWithLogits
Computes softmax cross entropy cost and gradients to backpropagate.
|
static class |
tensorflow.Softplus
Computes softplus:
log(exp(features) + 1). |
static class |
tensorflow.Softsign
Computes softsign:
features / (abs(features) + 1). |
static class |
tensorflow.SpaceToBatch
SpaceToBatch for 4-D tensors of type T.
|
static class |
tensorflow.SpaceToBatchND
SpaceToBatch for N-D tensors of type T.
|
static class |
tensorflow.SpaceToDepth
SpaceToDepth for tensors of type T.
|
static class |
tensorflow.SparseAccumulatorApplyGradient
Applies a sparse gradient to a given accumulator.
|
static class |
tensorflow.SparseAccumulatorTakeGradient
Extracts the average sparse gradient in a SparseConditionalAccumulator.
|
static class |
tensorflow.SparseAdd
Adds two
SparseTensor objects to produce another SparseTensor. |
static class |
tensorflow.SparseAddGrad
The gradient operator for the SparseAdd op.
|
static class |
tensorflow.SparseApplyAdadelta
var: Should be from a Variable().
|
static class |
tensorflow.SparseApplyAdagrad
Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
|
static class |
tensorflow.SparseApplyAdagradDA
Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
|
static class |
tensorflow.SparseApplyCenteredRMSProp
Update '*var' according to the centered RMSProp algorithm.
|
static class |
tensorflow.SparseApplyFtrl
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
|
static class |
tensorflow.SparseApplyFtrlV2
Update relevant entries in '*var' according to the Ftrl-proximal scheme.
|
static class |
tensorflow.SparseApplyMomentum
Update relevant entries in '*var' and '*accum' according to the momentum scheme.
|
static class |
tensorflow.SparseApplyProximalAdagrad
Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
|
static class |
tensorflow.SparseApplyProximalGradientDescent
Sparse update '*var' as FOBOS algorithm with fixed learning rate.
|
static class |
tensorflow.SparseApplyRMSProp
Update '*var' according to the RMSProp algorithm.
|
static class |
tensorflow.SparseConcat
Concatenates a list of
SparseTensor along the specified dimension. |
static class |
tensorflow.SparseConditionalAccumulator
A conditional accumulator for aggregating sparse gradients.
|
static class |
tensorflow.SparseCross
Generates sparse cross from a list of sparse and dense tensors.
|
static class |
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.
|
static class |
tensorflow.SparseDenseCwiseDiv
Component-wise divides a SparseTensor by a dense Tensor.
|
static class |
tensorflow.SparseDenseCwiseMul
Component-wise multiplies a SparseTensor by a dense Tensor.
|
static class |
tensorflow.SparseFillEmptyRows
Fills empty rows in the input 2-D
SparseTensor with a default value. |
static class |
tensorflow.SparseFillEmptyRowsGrad
The gradient of SparseFillEmptyRows.
|
static class |
tensorflow.SparseMatMul
Multiply matrix "a" by matrix "b".
|
static class |
tensorflow.SparseReduceMax
Computes the max of elements across dimensions of a SparseTensor.
|
static class |
tensorflow.SparseReduceMaxSparse
Computes the max of elements across dimensions of a SparseTensor.
|
static class |
tensorflow.SparseReduceSum
Computes the sum of elements across dimensions of a SparseTensor.
|
static class |
tensorflow.SparseReduceSumSparse
Computes the sum of elements across dimensions of a SparseTensor.
|
static class |
tensorflow.SparseReorder
Reorders a SparseTensor into the canonical, row-major ordering.
|
static class |
tensorflow.SparseReshape
Reshapes a SparseTensor to represent values in a new dense shape.
|
static class |
tensorflow.SparseSegmentMean
Computes the mean along sparse segments of a tensor.
|
static class |
tensorflow.SparseSegmentMeanGrad
Computes gradients for SparseSegmentMean.
|
static class |
tensorflow.SparseSegmentMeanWithNumSegments
Computes the mean along sparse segments of a tensor.
|
static class |
tensorflow.SparseSegmentSqrtN
Computes the sum along sparse segments of a tensor divided by the sqrt of N.
|
static class |
tensorflow.SparseSegmentSqrtNGrad
Computes gradients for SparseSegmentSqrtN.
|
static class |
tensorflow.SparseSegmentSqrtNWithNumSegments
Computes the sum along sparse segments of a tensor divided by the sqrt of N.
|
static class |
tensorflow.SparseSegmentSum
Computes the sum along sparse segments of a tensor.
|
static class |
tensorflow.SparseSegmentSumWithNumSegments
Computes the sum along sparse segments of a tensor.
|
static class |
tensorflow.SparseSlice
Slice a
SparseTensor based on the start and size. |
static class |
tensorflow.SparseSliceGrad
The gradient operator for the SparseSlice op.
|
static class |
tensorflow.SparseSoftmax
Applies softmax to a batched N-D
SparseTensor. |
static class |
tensorflow.SparseSoftmaxCrossEntropyWithLogits
Computes softmax cross entropy cost and gradients to backpropagate.
|
static class |
tensorflow.SparseSparseMaximum
Returns the element-wise max of two SparseTensors.
|
static class |
tensorflow.SparseSparseMinimum
Returns the element-wise min of two SparseTensors.
|
static class |
tensorflow.SparseSplit
Split a
SparseTensor into num_split tensors along one dimension. |
static class |
tensorflow.SparseTensorDenseAdd
Adds up a
SparseTensor and a dense Tensor, producing a dense Tensor. |
static class |
tensorflow.SparseTensorDenseMatMul
Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
|
static class |
tensorflow.SparseToDense
Converts a sparse representation into a dense tensor.
|
static class |
tensorflow.Split
Splits a tensor into
num_split tensors along one dimension. |
static class |
tensorflow.SplitV
Splits a tensor into
num_split tensors along one dimension. |
static class |
tensorflow.Sqrt
Computes square root of x element-wise.
|
static class |
tensorflow.Square
Computes square of x element-wise.
|
static class |
tensorflow.SquaredDifference
Returns (x - y)(x - y) element-wise.
|
static class |
tensorflow.Squeeze
Removes dimensions of size 1 from the shape of a tensor.
|
static class |
tensorflow.Stack
Packs a list of
N rank-R tensors into one rank-(R+1) tensor. |
static class |
tensorflow.Stage
Stage values similar to a lightweight Enqueue.
|
static class |
tensorflow.StageClear
Op removes all elements in the underlying container.
|
static class |
tensorflow.StagePeek
Op peeks at the values at the specified index.
|
static class |
tensorflow.StageSize
Op returns the number of elements in the underlying container.
|
static class |
tensorflow.Status
\ingroup core
Denotes success or failure of a call in Tensorflow.
|
static class |
tensorflow.StepStats |
static class |
tensorflow.StepStatsCollectorInterface |
static class |
tensorflow.StopGradient
Stops gradient computation.
|
static class |
tensorflow.Stream |
static class |
tensorflow.StridedSlice
Return a strided slice from
input. |
static class |
tensorflow.StridedSliceAssign
Assign
value to the sliced l-value reference of ref. |
static class |
tensorflow.StridedSliceGrad
Returns the gradient of
StridedSlice. |
static class |
tensorflow.StringAttrPairVector |
static class |
tensorflow.StringAttrValueMap |
static class |
tensorflow.StringCollectionDefMap |
static class |
tensorflow.StringFeatureListMap |
static class |
tensorflow.StringFeatureMap |
static class |
tensorflow.StringFormat
Formats a string template using a list of tensors.
|
static class |
tensorflow.StringIntMap |
static class |
tensorflow.StringIntPair |
static class |
tensorflow.StringJoin
Joins the strings in the given list of string tensors into one tensor;
with the given separator (default is an empty separator).
|
static class |
tensorflow.StringLength
String lengths of
input. |
static class |
tensorflow.StringList |
static class |
tensorflow.StringNodeMap |
static class |
tensorflow.StringPieceIntPair |
static class |
tensorflow.StringPieceVector |
static class |
tensorflow.StringSet |
static class |
tensorflow.StringSignatureDefMap |
static class |
tensorflow.StringSliceInfoMap |
static class |
tensorflow.StringSplit
Split elements of
input based on delimiter into a SparseTensor. |
static class |
tensorflow.StringSplitV2
Split elements of
source based on sep into a SparseTensor. |
static class |
tensorflow.StringStringMap |
static class |
tensorflow.StringStringPairVector |
static class |
tensorflow.StringStrip
Strip leading and trailing whitespaces from the Tensor.
|
static class |
tensorflow.StringTensorInfoMap |
static class |
tensorflow.StringTensorPairVector |
static class |
tensorflow.StringTensorSliceSetMap |
static class |
tensorflow.StringToHashBucket
Converts each string in the input Tensor to its hash mod by a number of buckets.
|
static class |
tensorflow.StringToHashBucketFast
Converts each string in the input Tensor to its hash mod by a number of buckets.
|
static class |
tensorflow.StringToHashBucketStrong
Converts each string in the input Tensor to its hash mod by a number of buckets.
|
static class |
tensorflow.StringToNumber
Converts each string in the input Tensor to the specified numeric type.
|
static class |
tensorflow.StringUnorderedSet |
static class |
tensorflow.StringVector |
static class |
tensorflow.SubAllocator |
static class |
tensorflow.Substr
Return substrings from
Tensor of strings. |
static class |
tensorflow.Subtract
Returns x - y element-wise.
|
static class |
tensorflow.Sum
Computes the sum of elements across dimensions of a tensor.
|
static class |
tensorflow.Svd
Computes the singular value decompositions of one or more matrices.
|
static class |
tensorflow.Switch
Forwards
data to the output port determined by pred. |
static class |
tensorflow.SyclDevice |
static class |
tensorflow.SymbolicShapeManager |
static class |
tensorflow.TableStruct |
static class |
tensorflow.TakeManySparseFromTensorsMap
Read
SparseTensors from a SparseTensorsMap and concatenate them. |
static class |
tensorflow.Tan
Computes tan of x element-wise.
|
static class |
tensorflow.Tanh
Computes hyperbolic tangent of
x element-wise. |
static class |
tensorflow.TemporaryVariable
Returns a tensor that may be mutated, but only persists within a single step.
|
static class |
tensorflow.Tensor
\ingroup core
Represents an n-dimensional array of values.
|
static class |
tensorflow.TensorArray
An array of Tensors of given size.
|
static class |
tensorflow.TensorArrayClose
Delete the TensorArray from its resource container.
|
static class |
tensorflow.TensorArrayConcat
Concat the elements from the TensorArray into value
value. |
static class |
tensorflow.TensorArrayGather
Gather specific elements from the TensorArray into output
value. |
static class |
tensorflow.TensorArrayGrad
Creates a TensorArray for storing the gradients of values in the given handle.
|
static class |
tensorflow.TensorArrayGradWithShape
Creates a TensorArray for storing multiple gradients of values in the given handle.
|
static class |
tensorflow.TensorArrayRead
Read an element from the TensorArray into output
value. |
static class |
tensorflow.TensorArrayScatter
Scatter the data from the input value into specific TensorArray elements.
|
static class |
tensorflow.TensorArraySize
Get the current size of the TensorArray.
|
static class |
tensorflow.TensorArraySplit
Split the data from the input value into TensorArray elements.
|
static class |
tensorflow.TensorArrayWrite
Push an element onto the tensor_array.
|
static class |
tensorflow.TensorBuffer |
static class |
tensorflow.TensorCApi |
static class |
tensorflow.TensorConnection |
static class |
tensorflow.TensorDescription |
static class |
tensorflow.TensorId |
static class |
tensorflow.TensorIdTensorIdMap |
static class |
tensorflow.TensorInfo |
static class |
tensorflow.TensorInfo_CooSparse |
static class |
tensorflow.TensorProto |
static class |
tensorflow.TensorProtoVector |
static class |
tensorflow.TensorReference |
static class |
tensorflow.TensorShape
Represents the shape of a Tensor.
|
static class |
tensorflow.TensorShapeBase
Base class for TensorShape and PartialTensorShape.
|
static class |
tensorflow.TensorShapeDim
Represents the value of one dimension in a TensorShape.
|
static class |
tensorflow.TensorShapeIter |
static class |
tensorflow.TensorShapeProto |
static class |
tensorflow.TensorShapeProto_Dim |
static class |
tensorflow.TensorShapeRep
Internal representation for both TensorShape and PartialTensorShape.
|
static class |
tensorflow.TensorShapeUtils
\brief Static helper routines for
TensorShape. |
static class |
tensorflow.TensorShapeVector |
static class |
tensorflow.TensorSlice |
static class |
tensorflow.TensorSliceProto |
static class |
tensorflow.TensorSliceProto_Extent |
static class |
tensorflow.TensorSliceReader |
static class |
tensorflow.TensorSliceReaderCacheWrapper |
static class |
tensorflow.TensorSliceSet |
static class |
tensorflow.TensorSlideStringPair |
static class |
tensorflow.TensorStore |
static class |
tensorflow.TensorSummary
Outputs a
Summary protocol buffer with a tensor. |
static class |
tensorflow.TensorSummaryV2
Outputs a
Summary protocol buffer with a tensor and per-plugin data. |
static class |
tensorflow.TensorValue |
static class |
tensorflow.TensorValueVector |
static class |
tensorflow.TensorVector |
static class |
tensorflow.TextLineReader
A Reader that outputs the lines of a file delimited by '\n'.
|
static class |
tensorflow.TF_ApiDefMap |
static class |
tensorflow.TF_AttrMetadata |
static class |
tensorflow.TF_Buffer |
static class |
tensorflow.TF_DeprecatedSession |
static class |
tensorflow.TF_DeviceList |
static class |
tensorflow.TF_Function |
static class |
tensorflow.TF_FunctionOptions |
static class |
tensorflow.TF_Graph |
static class |
tensorflow.TF_ImportGraphDefOptions |
static class |
tensorflow.TF_ImportGraphDefResults |
static class |
tensorflow.TF_Input |
static class |
tensorflow.TF_Library |
static class |
tensorflow.TF_Operation |
static class |
tensorflow.TF_OperationDescription |
static class |
tensorflow.TF_Output |
static class |
tensorflow.TF_Session |
static class |
tensorflow.TF_SessionOptions |
static class |
tensorflow.TF_SessionStringMap |
static class |
tensorflow.TF_Status |
static class |
tensorflow.TF_Tensor |
static class |
tensorflow.TF_WhileParams |
static class |
tensorflow.TFRecordReader
A Reader that outputs the records from a TensorFlow Records file.
|
static class |
tensorflow.Thread
Represents a thread used to run a Tensorflow function.
|
static class |
tensorflow.ThreadOptions
\brief Options to configure a Thread.
|
static class |
tensorflow.ThreadPool |
static class |
tensorflow.ThreadPoolDevice |
static class |
tensorflow.ThreadPoolOptionProto |
static class |
tensorflow.Tile
Constructs a tensor by tiling a given tensor.
|
static class |
tensorflow.Timestamp
Provides the time since epoch in seconds.
|
static class |
tensorflow.TopK
Finds values and indices of the
k largest elements for the last dimension. |
static class |
tensorflow.TrackingAllocator |
static class |
tensorflow.Transpose
Shuffle dimensions of x according to a permutation.
|
static class |
tensorflow.TrueOpDefBuilderWrapper |
static class |
tensorflow.TruncateDiv
Returns x / y element-wise for integer types.
|
static class |
tensorflow.TruncatedNormal
Outputs random values from a truncated normal distribution.
|
static class |
tensorflow.TruncateMod
Returns element-wise remainder of division.
|
static class |
tensorflow.UnicodeScript
Determine the script codes of a given tensor of Unicode integer code points.
|
static class |
tensorflow.UniformCandidateSampler
Generates labels for candidate sampling with a uniform distribution.
|
static class |
tensorflow.Unique
Finds unique elements in a 1-D tensor.
|
static class |
tensorflow.UniqueV2
Finds unique elements along an axis of a tensor.
|
static class |
tensorflow.UniqueWithCounts
Finds unique elements in a 1-D tensor.
|
static class |
tensorflow.UniqueWithCountsV2
Finds unique elements along an axis of a tensor.
|
static class |
tensorflow.UnknownField |
static class |
tensorflow.UnknownFieldSet |
static class |
tensorflow.UnravelIndex
Converts a flat index or array of flat indices into a tuple of
coordinate arrays.
|
static class |
tensorflow.UnsortedSegmentMax
Computes the maximum along segments of a tensor.
|
static class |
tensorflow.UnsortedSegmentMin
Computes the minimum along segments of a tensor.
|
static class |
tensorflow.UnsortedSegmentProd
Computes the product along segments of a tensor.
|
static class |
tensorflow.UnsortedSegmentSum
Computes the sum along segments of a tensor.
|
static class |
tensorflow.Unstack
Unpacks a given dimension of a rank-
R tensor into num rank-(R-1) tensors. |
static class |
tensorflow.Unstage
Op is similar to a lightweight Dequeue.
|
static class |
tensorflow.Variable
Holds state in the form of a tensor that persists across steps.
|
static class |
tensorflow.Variant |
static class |
tensorflow.VariantTensorDataProto |
static class |
tensorflow.VarToDataTypeMap |
static class |
tensorflow.VarToShapeMap |
static class |
tensorflow.VersionDef |
static class |
tensorflow.WeakFieldMap |
static class |
tensorflow.Where
Returns locations of nonzero / true values in a tensor.
|
static class |
tensorflow.Where3
Selects elements from
x or y, depending on condition. |
static class |
tensorflow.WhileContext |
static class |
tensorflow.WholeFileReader
A Reader that outputs the entire contents of a file as a value.
|
static class |
tensorflow.WireFormat |
static class |
tensorflow.WireFormatLite |
static class |
tensorflow.WrappedAllocator |
static class |
tensorflow.WrappedAllocatorVector |
static class |
tensorflow.WritableFile
\brief A file abstraction for sequential writing.
|
static class |
tensorflow.WriteFile
Writes contents to the file at input filename.
|
static class |
tensorflow.Xdivy
Returns 0 if x == 0, and x / y otherwise, elementwise.
|
static class |
tensorflow.XlaOpKernelContext |
static class |
tensorflow.Xlogy
Returns 0 if x == 0, and x * log(y) otherwise, elementwise.
|
static class |
tensorflow.ZeroCopyInputStream |
static class |
tensorflow.ZeroCopyOutputStream |
static class |
tensorflow.ZerosLike
Returns a tensor of zeros with the same shape and type as x.
|
static class |
tensorflow.Zeta
Compute the Hurwitz zeta function \\(\zeta(x, q)\\).
|
static class |
tensorflow.ZlibCompressionOptions |
static class |
tensorflow.ZlibOutputBuffer |
tensorflow.AbstractSession, tensorflow.AbstractTensor, tensorflow.AbstractTF_Buffer, tensorflow.AbstractTF_Graph, tensorflow.AbstractTF_ImportGraphDefOptions, tensorflow.AbstractTF_Session, tensorflow.AbstractTF_SessionOptions, tensorflow.AbstractTF_Status, tensorflow.AbstractTF_Tensor, tensorflow.StringArraytensorflow.ArraySlice, tensorflow.ConsiderFunction, tensorflow.EdgeCostFunction, tensorflow.EdgeLabelFunction, tensorflow.FactoryFn, tensorflow.Fn, tensorflow.ForFn, tensorflow.KernelDefPredicateFn, tensorflow.NodeColorFunction, tensorflow.NodeCostFunction, tensorflow.NodeLabelFunction, tensorflow.ParallelForFn, tensorflow.ShapeInferenceFn, tensorflow.StringPiece| Modifier and Type | Field and Description |
|---|---|
static int |
ABORTED
enum tensorflow::error::Code
|
static int |
ALREADY_EXISTS
enum tensorflow::error::Code
|
static int |
ApiDef_Visibility_ApiDef_Visibility_INT_MAX_SENTINEL_DO_NOT_USE_
enum tensorflow::ApiDef_Visibility
|
static int |
ApiDef_Visibility_ApiDef_Visibility_INT_MIN_SENTINEL_DO_NOT_USE_
enum tensorflow::ApiDef_Visibility
|
static int |
ApiDef_Visibility_DEFAULT_VISIBILITY
enum tensorflow::ApiDef_Visibility
|
static int |
ApiDef_Visibility_HIDDEN
enum tensorflow::ApiDef_Visibility
|
static int |
ApiDef_Visibility_SKIP
enum tensorflow::ApiDef_Visibility
|
static int |
ApiDef_Visibility_VISIBLE
enum tensorflow::ApiDef_Visibility
|
static int |
CANCELLED
enum tensorflow::error::Code
|
static int |
Code_INT_MAX_SENTINEL_DO_NOT_USE_
enum tensorflow::error::Code
|
static int |
Code_INT_MIN_SENTINEL_DO_NOT_USE_
enum tensorflow::error::Code
|
static int |
DATA_LOSS
enum tensorflow::error::Code
|
static int |
DataType_INT_MAX_SENTINEL_DO_NOT_USE_
enum tensorflow::DataType
|
static int |
DataType_INT_MIN_SENTINEL_DO_NOT_USE_
enum tensorflow::DataType
|
static int |
DEADLINE_EXCEEDED
enum tensorflow::error::Code
|
static int |
DEVICE_MEMORY
enum tensorflow::MemoryType
|
static int |
DO_NOT_USE_RESERVED_FOR_FUTURE_EXPANSION_USE_DEFAULT_IN_SWITCH_INSTEAD_
enum tensorflow::error::Code
|
static int |
DT_BFLOAT16
enum tensorflow::DataType
|
static int |
DT_BFLOAT16_REF
enum tensorflow::DataType
|
static int |
DT_BOOL
enum tensorflow::DataType
|
static int |
DT_BOOL_REF
enum tensorflow::DataType
|
static int |
DT_COMPLEX128
enum tensorflow::DataType
|
static int |
DT_COMPLEX128_REF
enum tensorflow::DataType
|
static int |
DT_COMPLEX64
enum tensorflow::DataType
|
static int |
DT_COMPLEX64_REF
enum tensorflow::DataType
|
static int |
DT_DOUBLE
enum tensorflow::DataType
|
static int |
DT_DOUBLE_REF
enum tensorflow::DataType
|
static int |
DT_FLOAT
enum tensorflow::DataType
|
static int |
DT_FLOAT_REF
enum tensorflow::DataType
|
static int |
DT_HALF
enum tensorflow::DataType
|
static int |
DT_HALF_REF
enum tensorflow::DataType
|
static int |
DT_INT16
enum tensorflow::DataType
|
static int |
DT_INT16_REF
enum tensorflow::DataType
|
static int |
DT_INT32
enum tensorflow::DataType
|
static int |
DT_INT32_REF
enum tensorflow::DataType
|
static int |
DT_INT64
enum tensorflow::DataType
|
static int |
DT_INT64_REF
enum tensorflow::DataType
|
static int |
DT_INT8
enum tensorflow::DataType
|
static int |
DT_INT8_REF
enum tensorflow::DataType
|
static int |
DT_INVALID
enum tensorflow::DataType
|
static int |
DT_QINT16
enum tensorflow::DataType
|
static int |
DT_QINT16_REF
enum tensorflow::DataType
|
static int |
DT_QINT32
enum tensorflow::DataType
|
static int |
DT_QINT32_REF
enum tensorflow::DataType
|
static int |
DT_QINT8
enum tensorflow::DataType
|
static int |
DT_QINT8_REF
enum tensorflow::DataType
|
static int |
DT_QUINT16
enum tensorflow::DataType
|
static int |
DT_QUINT16_REF
enum tensorflow::DataType
|
static int |
DT_QUINT8
enum tensorflow::DataType
|
static int |
DT_QUINT8_REF
enum tensorflow::DataType
|
static int |
DT_RESOURCE
enum tensorflow::DataType
|
static int |
DT_RESOURCE_REF
enum tensorflow::DataType
|
static int |
DT_STRING
enum tensorflow::DataType
|
static int |
DT_STRING_REF
enum tensorflow::DataType
|
static int |
DT_UINT16
enum tensorflow::DataType
|
static int |
DT_UINT16_REF
enum tensorflow::DataType
|
static int |
DT_UINT32
enum tensorflow::DataType
|
static int |
DT_UINT32_REF
enum tensorflow::DataType
|
static int |
DT_UINT64
enum tensorflow::DataType
|
static int |
DT_UINT64_REF
enum tensorflow::DataType
|
static int |
DT_UINT8
enum tensorflow::DataType
|
static int |
DT_UINT8_REF
enum tensorflow::DataType
|
static int |
DT_VARIANT
enum tensorflow::DataType
|
static int |
DT_VARIANT_REF
enum tensorflow::DataType
|
static int |
FAILED_PRECONDITION
enum tensorflow::error::Code
|
static int |
HOST_MEMORY
enum tensorflow::MemoryType
|
static int |
INTERNAL
enum tensorflow::error::Code
|
static int |
INVALID_ARGUMENT
enum tensorflow::error::Code
|
static int |
kCond_MaybeNotified
enum tensorflow::ConditionResult
|
static int |
kCond_Timeout
enum tensorflow::ConditionResult
|
static int |
kDataTypeRefOffset
enum tensorflow::
|
static short |
kint16max |
static short |
kint16min |
static int |
kint32max |
static int |
kint32min |
static long |
kint64max |
static long |
kint64min |
static byte |
kint8max |
static byte |
kint8min |
static int |
kTensorSliceMaxRank |
static short |
kuint16max |
static int |
kuint32max |
static long |
kuint64max |
static byte |
kuint8max |
static int |
LANG_CXX11 |
static int |
NOT_FOUND
enum tensorflow::error::Code
|
static int |
OK
enum tensorflow::error::Code
|
static int |
OptimizerOptions_GlobalJitLevel_DEFAULT
enum tensorflow::OptimizerOptions_GlobalJitLevel
|
static int |
OptimizerOptions_GlobalJitLevel_OFF
enum tensorflow::OptimizerOptions_GlobalJitLevel
|
static int |
OptimizerOptions_GlobalJitLevel_ON_1
enum tensorflow::OptimizerOptions_GlobalJitLevel
|
static int |
OptimizerOptions_GlobalJitLevel_ON_2
enum tensorflow::OptimizerOptions_GlobalJitLevel
|
static int |
OptimizerOptions_GlobalJitLevel_OptimizerOptions_GlobalJitLevel_INT_MAX_SENTINEL_DO_NOT_USE_
enum tensorflow::OptimizerOptions_GlobalJitLevel
|
static int |
OptimizerOptions_GlobalJitLevel_OptimizerOptions_GlobalJitLevel_INT_MIN_SENTINEL_DO_NOT_USE_
enum tensorflow::OptimizerOptions_GlobalJitLevel
|
static int |
OptimizerOptions_Level_L0
enum tensorflow::OptimizerOptions_Level
|
static int |
OptimizerOptions_Level_L1
enum tensorflow::OptimizerOptions_Level
|
static int |
OptimizerOptions_Level_OptimizerOptions_Level_INT_MAX_SENTINEL_DO_NOT_USE_
enum tensorflow::OptimizerOptions_Level
|
static int |
OptimizerOptions_Level_OptimizerOptions_Level_INT_MIN_SENTINEL_DO_NOT_USE_
enum tensorflow::OptimizerOptions_Level
|
static int |
OUT_OF_RANGE
enum tensorflow::error::Code
|
static int |
PERMISSION_DENIED
enum tensorflow::error::Code
|
static int |
RESOURCE_EXHAUSTED
enum tensorflow::error::Code
|
static int |
RewriterConfig_MemOptType_DEFAULT_MEM_OPT
enum tensorflow::RewriterConfig_MemOptType
|
static int |
RewriterConfig_MemOptType_HEURISTICS
enum tensorflow::RewriterConfig_MemOptType
|
static int |
RewriterConfig_MemOptType_MANUAL
enum tensorflow::RewriterConfig_MemOptType
|
static int |
RewriterConfig_MemOptType_NO_MEM_OPT
enum tensorflow::RewriterConfig_MemOptType
|
static int |
RewriterConfig_MemOptType_RECOMPUTATION_HEURISTICS
enum tensorflow::RewriterConfig_MemOptType
|
static int |
RewriterConfig_MemOptType_RewriterConfig_MemOptType_INT_MAX_SENTINEL_DO_NOT_USE_
enum tensorflow::RewriterConfig_MemOptType
|
static int |
RewriterConfig_MemOptType_RewriterConfig_MemOptType_INT_MIN_SENTINEL_DO_NOT_USE_
enum tensorflow::RewriterConfig_MemOptType
|
static int |
RewriterConfig_MemOptType_SCHEDULING_HEURISTICS
enum tensorflow::RewriterConfig_MemOptType
|
static int |
RewriterConfig_MemOptType_SWAPPING_HEURISTICS
enum tensorflow::RewriterConfig_MemOptType
|
static int |
RewriterConfig_NumIterationsType_DEFAULT_NUM_ITERS
enum tensorflow::RewriterConfig_NumIterationsType
|
static int |
RewriterConfig_NumIterationsType_ONE
enum tensorflow::RewriterConfig_NumIterationsType
|
static int |
RewriterConfig_NumIterationsType_RewriterConfig_NumIterationsType_INT_MAX_SENTINEL_DO_NOT_USE_
enum tensorflow::RewriterConfig_NumIterationsType
|
static int |
RewriterConfig_NumIterationsType_RewriterConfig_NumIterationsType_INT_MIN_SENTINEL_DO_NOT_USE_
enum tensorflow::RewriterConfig_NumIterationsType
|
static int |
RewriterConfig_NumIterationsType_TWO
enum tensorflow::RewriterConfig_NumIterationsType
|
static int |
RewriterConfig_Toggle_AGGRESSIVE
enum tensorflow::RewriterConfig_Toggle
|
static int |
RewriterConfig_Toggle_DEFAULT
enum tensorflow::RewriterConfig_Toggle
|
static int |
RewriterConfig_Toggle_OFF
enum tensorflow::RewriterConfig_Toggle
|
static int |
RewriterConfig_Toggle_ON
enum tensorflow::RewriterConfig_Toggle
|
static int |
RewriterConfig_Toggle_RewriterConfig_Toggle_INT_MAX_SENTINEL_DO_NOT_USE_
enum tensorflow::RewriterConfig_Toggle
|
static int |
RewriterConfig_Toggle_RewriterConfig_Toggle_INT_MIN_SENTINEL_DO_NOT_USE_
enum tensorflow::RewriterConfig_Toggle
|
static int |
RunOptions_TraceLevel_FULL_TRACE
enum tensorflow::RunOptions_TraceLevel
|
static int |
RunOptions_TraceLevel_HARDWARE_TRACE
enum tensorflow::RunOptions_TraceLevel
|
static int |
RunOptions_TraceLevel_NO_TRACE
enum tensorflow::RunOptions_TraceLevel
|
static int |
RunOptions_TraceLevel_RunOptions_TraceLevel_INT_MAX_SENTINEL_DO_NOT_USE_
enum tensorflow::RunOptions_TraceLevel
|
static int |
RunOptions_TraceLevel_RunOptions_TraceLevel_INT_MIN_SENTINEL_DO_NOT_USE_
enum tensorflow::RunOptions_TraceLevel
|
static int |
RunOptions_TraceLevel_SOFTWARE_TRACE
enum tensorflow::RunOptions_TraceLevel
|
static int |
SaverDef_CheckpointFormatVersion_LEGACY
enum tensorflow::SaverDef_CheckpointFormatVersion
|
static int |
SaverDef_CheckpointFormatVersion_SaverDef_CheckpointFormatVersion_INT_MAX_SENTINEL_DO_NOT_USE_
enum tensorflow::SaverDef_CheckpointFormatVersion
|
static int |
SaverDef_CheckpointFormatVersion_SaverDef_CheckpointFormatVersion_INT_MIN_SENTINEL_DO_NOT_USE_
enum tensorflow::SaverDef_CheckpointFormatVersion
|
static int |
SaverDef_CheckpointFormatVersion_V1
enum tensorflow::SaverDef_CheckpointFormatVersion
|
static int |
SaverDef_CheckpointFormatVersion_V2
enum tensorflow::SaverDef_CheckpointFormatVersion
|
static int |
TF_ABORTED
enum TF_Code
|
static int |
TF_ALREADY_EXISTS
enum TF_Code
|
static int |
TF_ATTR_BOOL
enum TF_AttrType
|
static int |
TF_ATTR_FLOAT
enum TF_AttrType
|
static int |
TF_ATTR_FUNC
enum TF_AttrType
|
static int |
TF_ATTR_INT
enum TF_AttrType
|
static int |
TF_ATTR_PLACEHOLDER
enum TF_AttrType
|
static int |
TF_ATTR_SHAPE
enum TF_AttrType
|
static int |
TF_ATTR_STRING
enum TF_AttrType
|
static int |
TF_ATTR_TENSOR
enum TF_AttrType
|
static int |
TF_ATTR_TYPE
enum TF_AttrType
|
static int |
TF_BFLOAT16
enum TF_DataType
|
static int |
TF_BOOL
enum TF_DataType
|
static int |
TF_CANCELLED
enum TF_Code
|
static int |
TF_COMPLEX
enum TF_DataType
|
static int |
TF_COMPLEX128
enum TF_DataType
|
static int |
TF_COMPLEX64
enum TF_DataType
|
static int |
TF_DATA_LOSS
enum TF_Code
|
static int |
TF_DEADLINE_EXCEEDED
enum TF_Code
|
static int |
TF_DOUBLE
enum TF_DataType
|
static int |
TF_FAILED_PRECONDITION
enum TF_Code
|
static int |
TF_FLOAT
enum TF_DataType
|
static int |
TF_HALF
enum TF_DataType
|
static int |
TF_INT16
enum TF_DataType
|
static int |
TF_INT32
enum TF_DataType
|
static int |
TF_INT64
enum TF_DataType
|
static int |
TF_INT8
enum TF_DataType
|
static int |
TF_INTERNAL
enum TF_Code
|
static int |
TF_INVALID_ARGUMENT
enum TF_Code
|
static int |
TF_NOT_FOUND
enum TF_Code
|
static int |
TF_OK
enum TF_Code
|
static int |
TF_OUT_OF_RANGE
enum TF_Code
|
static int |
TF_PERMISSION_DENIED
enum TF_Code
|
static int |
TF_QINT16
enum TF_DataType
|
static int |
TF_QINT32
enum TF_DataType
|
static int |
TF_QINT8
enum TF_DataType
|
static int |
TF_QUINT16
enum TF_DataType
|
static int |
TF_QUINT8
enum TF_DataType
|
static int |
TF_RESOURCE
enum TF_DataType
|
static int |
TF_RESOURCE_EXHAUSTED
enum TF_Code
|
static int |
TF_STRING
enum TF_DataType
|
static int |
TF_UINT16
enum TF_DataType
|
static int |
TF_UINT32
enum TF_DataType
|
static int |
TF_UINT64
enum TF_DataType
|
static int |
TF_UINT8
enum TF_DataType
|
static int |
TF_UNAUTHENTICATED
enum TF_Code
|
static int |
TF_UNAVAILABLE
enum TF_Code
|
static int |
TF_UNIMPLEMENTED
enum TF_Code
|
static int |
TF_UNKNOWN
enum TF_Code
|
static int |
TF_VARIANT
enum TF_DataType
|
static int |
UNAUTHENTICATED
enum tensorflow::error::Code
|
static int |
UNAVAILABLE
enum tensorflow::error::Code
|
static int |
UNIMPLEMENTED
enum tensorflow::error::Code
|
static int |
UNKNOWN
enum tensorflow::error::Code
|
| Constructor and Description |
|---|
tensorflow() |
init, init, mappublic static final byte kuint8max
public static final short kuint16max
public static final int kuint32max
public static final long kuint64max
public static final byte kint8min
public static final byte kint8max
public static final short kint16min
public static final short kint16max
public static final int kint32min
public static final int kint32max
public static final long kint64min
public static final long kint64max
public static final int kCond_Timeout
public static final int kCond_MaybeNotified
public static final int LANG_CXX11
public static final int OK
public static final int CANCELLED
public static final int UNKNOWN
public static final int INVALID_ARGUMENT
public static final int DEADLINE_EXCEEDED
public static final int NOT_FOUND
public static final int ALREADY_EXISTS
public static final int PERMISSION_DENIED
public static final int UNAUTHENTICATED
public static final int RESOURCE_EXHAUSTED
public static final int FAILED_PRECONDITION
public static final int ABORTED
public static final int OUT_OF_RANGE
public static final int UNIMPLEMENTED
public static final int INTERNAL
public static final int UNAVAILABLE
public static final int DATA_LOSS
public static final int DO_NOT_USE_RESERVED_FOR_FUTURE_EXPANSION_USE_DEFAULT_IN_SWITCH_INSTEAD_
public static final int Code_INT_MIN_SENTINEL_DO_NOT_USE_
public static final int Code_INT_MAX_SENTINEL_DO_NOT_USE_
public static final int RewriterConfig_Toggle_DEFAULT
public static final int RewriterConfig_Toggle_ON
public static final int RewriterConfig_Toggle_OFF
public static final int RewriterConfig_Toggle_AGGRESSIVE
public static final int RewriterConfig_Toggle_RewriterConfig_Toggle_INT_MIN_SENTINEL_DO_NOT_USE_
public static final int RewriterConfig_Toggle_RewriterConfig_Toggle_INT_MAX_SENTINEL_DO_NOT_USE_
public static final int RewriterConfig_NumIterationsType_DEFAULT_NUM_ITERS
public static final int RewriterConfig_NumIterationsType_ONE
public static final int RewriterConfig_NumIterationsType_TWO
public static final int RewriterConfig_NumIterationsType_RewriterConfig_NumIterationsType_INT_MIN_SENTINEL_DO_NOT_USE_
public static final int RewriterConfig_NumIterationsType_RewriterConfig_NumIterationsType_INT_MAX_SENTINEL_DO_NOT_USE_
public static final int RewriterConfig_MemOptType_DEFAULT_MEM_OPT
public static final int RewriterConfig_MemOptType_NO_MEM_OPT
public static final int RewriterConfig_MemOptType_MANUAL
public static final int RewriterConfig_MemOptType_SWAPPING_HEURISTICS
public static final int RewriterConfig_MemOptType_RECOMPUTATION_HEURISTICS
public static final int RewriterConfig_MemOptType_SCHEDULING_HEURISTICS
public static final int RewriterConfig_MemOptType_HEURISTICS
public static final int RewriterConfig_MemOptType_RewriterConfig_MemOptType_INT_MIN_SENTINEL_DO_NOT_USE_
public static final int RewriterConfig_MemOptType_RewriterConfig_MemOptType_INT_MAX_SENTINEL_DO_NOT_USE_
public static final int OptimizerOptions_Level_L1
public static final int OptimizerOptions_Level_L0
public static final int OptimizerOptions_Level_OptimizerOptions_Level_INT_MIN_SENTINEL_DO_NOT_USE_
public static final int OptimizerOptions_Level_OptimizerOptions_Level_INT_MAX_SENTINEL_DO_NOT_USE_
public static final int OptimizerOptions_GlobalJitLevel_DEFAULT
public static final int OptimizerOptions_GlobalJitLevel_OFF
public static final int OptimizerOptions_GlobalJitLevel_ON_1
public static final int OptimizerOptions_GlobalJitLevel_ON_2
public static final int OptimizerOptions_GlobalJitLevel_OptimizerOptions_GlobalJitLevel_INT_MIN_SENTINEL_DO_NOT_USE_
public static final int OptimizerOptions_GlobalJitLevel_OptimizerOptions_GlobalJitLevel_INT_MAX_SENTINEL_DO_NOT_USE_
public static final int RunOptions_TraceLevel_NO_TRACE
public static final int RunOptions_TraceLevel_SOFTWARE_TRACE
public static final int RunOptions_TraceLevel_HARDWARE_TRACE
public static final int RunOptions_TraceLevel_FULL_TRACE
public static final int RunOptions_TraceLevel_RunOptions_TraceLevel_INT_MIN_SENTINEL_DO_NOT_USE_
public static final int RunOptions_TraceLevel_RunOptions_TraceLevel_INT_MAX_SENTINEL_DO_NOT_USE_
public static final int DT_INVALID
public static final int DT_FLOAT
public static final int DT_DOUBLE
public static final int DT_INT32
public static final int DT_UINT8
public static final int DT_INT16
public static final int DT_INT8
public static final int DT_STRING
public static final int DT_COMPLEX64
public static final int DT_INT64
public static final int DT_BOOL
public static final int DT_QINT8
public static final int DT_QUINT8
public static final int DT_QINT32
public static final int DT_BFLOAT16
public static final int DT_QINT16
public static final int DT_QUINT16
public static final int DT_UINT16
public static final int DT_COMPLEX128
public static final int DT_HALF
public static final int DT_RESOURCE
public static final int DT_VARIANT
public static final int DT_UINT32
public static final int DT_UINT64
public static final int DT_FLOAT_REF
public static final int DT_DOUBLE_REF
public static final int DT_INT32_REF
public static final int DT_UINT8_REF
public static final int DT_INT16_REF
public static final int DT_INT8_REF
public static final int DT_STRING_REF
public static final int DT_COMPLEX64_REF
public static final int DT_INT64_REF
public static final int DT_BOOL_REF
public static final int DT_QINT8_REF
public static final int DT_QUINT8_REF
public static final int DT_QINT32_REF
public static final int DT_BFLOAT16_REF
public static final int DT_QINT16_REF
public static final int DT_QUINT16_REF
public static final int DT_UINT16_REF
public static final int DT_COMPLEX128_REF
public static final int DT_HALF_REF
public static final int DT_RESOURCE_REF
public static final int DT_VARIANT_REF
public static final int DT_UINT32_REF
public static final int DT_UINT64_REF
public static final int DataType_INT_MIN_SENTINEL_DO_NOT_USE_
public static final int DataType_INT_MAX_SENTINEL_DO_NOT_USE_
public static final int ApiDef_Visibility_DEFAULT_VISIBILITY
public static final int ApiDef_Visibility_VISIBLE
public static final int ApiDef_Visibility_SKIP
public static final int ApiDef_Visibility_HIDDEN
public static final int ApiDef_Visibility_ApiDef_Visibility_INT_MIN_SENTINEL_DO_NOT_USE_
public static final int ApiDef_Visibility_ApiDef_Visibility_INT_MAX_SENTINEL_DO_NOT_USE_
public static final int DEVICE_MEMORY
public static final int HOST_MEMORY
public static final int kDataTypeRefOffset
public static final int kTensorSliceMaxRank
public static final int TF_FLOAT
public static final int TF_DOUBLE
public static final int TF_INT32
public static final int TF_UINT8
public static final int TF_INT16
public static final int TF_INT8
public static final int TF_STRING
public static final int TF_COMPLEX64
public static final int TF_COMPLEX
public static final int TF_INT64
public static final int TF_BOOL
public static final int TF_QINT8
public static final int TF_QUINT8
public static final int TF_QINT32
public static final int TF_BFLOAT16
public static final int TF_QINT16
public static final int TF_QUINT16
public static final int TF_UINT16
public static final int TF_COMPLEX128
public static final int TF_HALF
public static final int TF_RESOURCE
public static final int TF_VARIANT
public static final int TF_UINT32
public static final int TF_UINT64
public static final int TF_OK
public static final int TF_CANCELLED
public static final int TF_UNKNOWN
public static final int TF_INVALID_ARGUMENT
public static final int TF_DEADLINE_EXCEEDED
public static final int TF_NOT_FOUND
public static final int TF_ALREADY_EXISTS
public static final int TF_PERMISSION_DENIED
public static final int TF_UNAUTHENTICATED
public static final int TF_RESOURCE_EXHAUSTED
public static final int TF_FAILED_PRECONDITION
public static final int TF_ABORTED
public static final int TF_OUT_OF_RANGE
public static final int TF_UNIMPLEMENTED
public static final int TF_INTERNAL
public static final int TF_UNAVAILABLE
public static final int TF_DATA_LOSS
public static final int TF_ATTR_STRING
public static final int TF_ATTR_INT
public static final int TF_ATTR_FLOAT
public static final int TF_ATTR_BOOL
public static final int TF_ATTR_TYPE
public static final int TF_ATTR_SHAPE
public static final int TF_ATTR_TENSOR
public static final int TF_ATTR_PLACEHOLDER
public static final int TF_ATTR_FUNC
public static final int SaverDef_CheckpointFormatVersion_LEGACY
public static final int SaverDef_CheckpointFormatVersion_V1
public static final int SaverDef_CheckpointFormatVersion_V2
public static final int SaverDef_CheckpointFormatVersion_SaverDef_CheckpointFormatVersion_INT_MIN_SENTINEL_DO_NOT_USE_
public static final int SaverDef_CheckpointFormatVersion_SaverDef_CheckpointFormatVersion_INT_MAX_SENTINEL_DO_NOT_USE_
@Namespace(value="google::protobuf::internal") public static void arena_free(Pointer object, @Cast(value="size_t") long size)
@Namespace(value="google::protobuf::internal") @Cast(value="bool") public static boolean GetProto3PreserveUnknownsDefault()
@Namespace(value="google::protobuf::internal") public static void SetProto3PreserveUnknownsDefault(@Cast(value="bool") boolean preserve)
@Namespace(value="tensorflow") @Cast(value="std::ostream*") @ByRef @Name(value="operator <<") public static Pointer shiftLeft(@Cast(value="std::ostream*") @ByRef Pointer os, @Const @ByRef tensorflow.bfloat16 dt)
@Namespace(value="tensorflow") @ByVal @Name(value="operator +") public static tensorflow.bfloat16 add(@ByVal tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @ByVal @Name(value="operator +") public static tensorflow.bfloat16 add(@ByVal tensorflow.bfloat16 a, int b)
@Namespace(value="tensorflow") @ByVal @Name(value="operator +") public static tensorflow.bfloat16 add(int a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @ByVal @Name(value="operator -") public static tensorflow.bfloat16 subtract(@ByVal tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @ByVal @Name(value="operator *") public static tensorflow.bfloat16 multiply(@ByVal tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @ByVal @Name(value="operator /") public static tensorflow.bfloat16 divide(@ByVal tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @ByVal @Name(value="operator -") public static tensorflow.bfloat16 subtract(@ByVal tensorflow.bfloat16 a)
@Namespace(value="tensorflow") @Cast(value="bool") @Name(value="operator <") public static boolean lessThan(@ByVal tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @Cast(value="bool") @Name(value="operator <=") public static boolean lessThanEquals(@ByVal tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @Cast(value="bool") @Name(value="operator ==") public static boolean equals(@ByVal tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @Cast(value="bool") @Name(value="operator !=") public static boolean notEquals(@ByVal tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @Cast(value="bool") @Name(value="operator >") public static boolean greaterThan(@ByVal tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @Cast(value="bool") @Name(value="operator >=") public static boolean greaterThanEquals(@ByVal tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @ByRef @Name(value="operator +=") public static tensorflow.bfloat16 addPut(@ByRef tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @ByRef @Name(value="operator -=") public static tensorflow.bfloat16 subtractPut(@ByRef tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @ByVal @Name(value="operator ++") public static tensorflow.bfloat16 increment(@ByRef tensorflow.bfloat16 a)
@Namespace(value="tensorflow") @ByVal @Name(value="operator --") public static tensorflow.bfloat16 decrement(@ByRef tensorflow.bfloat16 a)
@Namespace(value="tensorflow") @ByVal @Name(value="operator ++") public static tensorflow.bfloat16 increment(@ByRef tensorflow.bfloat16 a, int arg1)
@Namespace(value="tensorflow") @ByVal @Name(value="operator --") public static tensorflow.bfloat16 decrement(@ByRef tensorflow.bfloat16 a, int arg1)
@Namespace(value="tensorflow") @ByRef @Name(value="operator *=") public static tensorflow.bfloat16 multiplyPut(@ByRef tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="tensorflow") @ByRef @Name(value="operator /=") public static tensorflow.bfloat16 dividePut(@ByRef tensorflow.bfloat16 a, @ByVal tensorflow.bfloat16 b)
@Namespace(value="std") @Cast(value="bool") public static boolean isinf(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @Cast(value="bool") public static boolean isnan(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @Cast(value="bool") public static boolean isfinite(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @ByVal public static tensorflow.bfloat16 abs(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @ByVal public static tensorflow.bfloat16 exp(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @ByVal public static tensorflow.bfloat16 log(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @ByVal public static tensorflow.bfloat16 log10(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @ByVal public static tensorflow.bfloat16 sqrt(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @ByVal public static tensorflow.bfloat16 pow(@Const @ByRef tensorflow.bfloat16 a, @Const @ByRef tensorflow.bfloat16 b)
@Namespace(value="std") @ByVal public static tensorflow.bfloat16 sin(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @ByVal public static tensorflow.bfloat16 cos(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @ByVal public static tensorflow.bfloat16 tan(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @ByVal public static tensorflow.bfloat16 tanh(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @ByVal public static tensorflow.bfloat16 floor(@Const @ByRef tensorflow.bfloat16 a)
@Namespace(value="std") @ByVal public static tensorflow.bfloat16 ceil(@Const @ByRef tensorflow.bfloat16 a)
@ByVal public static tensorflow.bfloat16 FloatToBFloat16(float float_val)
@Namespace(value="tensorflow::port") public static void InitMain(@Cast(value="const char*") BytePointer usage, IntPointer argc, @Cast(value="char***") @ByPtrPtr PointerPointer argv)
@Namespace(value="tensorflow::port") public static void InitMain(String usage, IntBuffer argc, @Cast(value="char***") @ByPtrPtr PointerPointer argv)
@Namespace(value="tensorflow::port") public static void InitMain(@Cast(value="const char*") BytePointer usage, int[] argc, @Cast(value="char***") @ByPtrPtr PointerPointer argv)
@Namespace(value="tensorflow::port") public static void InitMain(String usage, IntPointer argc, @Cast(value="char***") @ByPtrPtr PointerPointer argv)
@Namespace(value="tensorflow::port") public static void InitMain(@Cast(value="const char*") BytePointer usage, IntBuffer argc, @Cast(value="char***") @ByPtrPtr PointerPointer argv)
@Namespace(value="tensorflow::port") public static void InitMain(String usage, int[] argc, @Cast(value="char***") @ByPtrPtr PointerPointer argv)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::uint8") public static byte kuint8max()
@Namespace(value="tensorflow") @MemberGetter public static short kuint16max()
@Namespace(value="tensorflow") @MemberGetter public static int kuint32max()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::uint64") public static long kuint64max()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::int8") public static byte kint8min()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::int8") public static byte kint8max()
@Namespace(value="tensorflow") @MemberGetter public static short kint16min()
@Namespace(value="tensorflow") @MemberGetter public static short kint16max()
@Namespace(value="tensorflow") @MemberGetter public static int kint32min()
@Namespace(value="tensorflow") @MemberGetter public static int kint32max()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::int64") public static long kint64min()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::int64") public static long kint64max()
@Namespace(value="tensorflow") @Cast(value="tensorflow::ConditionResult") public static int WaitForMilliseconds(@Cast(value="tensorflow::mutex_lock*") Pointer mu, @Cast(value="tensorflow::condition_variable*") Pointer cv, @Cast(value="tensorflow::int64") long ms)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsGoogleCudaEnabled()
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean CudaSupportsHalfMatMulAndConv()
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsMklEnabled()
@Namespace(value="protobuf_tensorflow_2fcore_2flib_2fcore_2ferror_5fcodes_2eproto") public static void AddDescriptors()
@Namespace(value="tensorflow::error") @Cast(value="bool") public static boolean Code_IsValid(int value)
@Namespace(value="tensorflow::error") @MemberGetter @Cast(value="const tensorflow::error::Code") public static int Code_MIN()
@Namespace(value="tensorflow::error") @MemberGetter @Cast(value="const tensorflow::error::Code") public static int Code_MAX()
@Namespace(value="tensorflow::error") @MemberGetter public static int Code_ARRAYSIZE()
@Namespace(value="tensorflow::error") @Cast(value="const google::protobuf::EnumDescriptor*") public static Pointer Code_descriptor()
@Namespace(value="tensorflow::error") @StdString public static BytePointer Code_Name(@Cast(value="tensorflow::error::Code") int value)
@Namespace(value="tensorflow::error") @Cast(value="bool") public static boolean Code_Parse(@StdString BytePointer name, @Cast(value="tensorflow::error::Code*") IntPointer value)
@Namespace(value="tensorflow::error") @Cast(value="bool") public static boolean Code_Parse(@StdString String name, @Cast(value="tensorflow::error::Code*") IntBuffer value)
@Namespace(value="tensorflow::error") @Cast(value="bool") public static boolean Code_Parse(@StdString BytePointer name, @Cast(value="tensorflow::error::Code*") int... value)
@Namespace(value="tensorflow::error") @Cast(value="bool") public static boolean Code_Parse(@StdString String name, @Cast(value="tensorflow::error::Code*") IntPointer value)
@Namespace(value="tensorflow::error") @Cast(value="bool") public static boolean Code_Parse(@StdString BytePointer name, @Cast(value="tensorflow::error::Code*") IntBuffer value)
@Namespace(value="tensorflow::error") @Cast(value="bool") public static boolean Code_Parse(@StdString String name, @Cast(value="tensorflow::error::Code*") int... value)
@Namespace(value="tensorflow::internal") public static void LogString(@Cast(value="const char*") BytePointer fname, int line, int severity, @StdString BytePointer message)
@Namespace(value="tensorflow::internal") public static void LogString(String fname, int line, int severity, @StdString String message)
@Namespace(value="tensorflow") @Cast(value="std::ostream*") @ByRef @Name(value="operator <<") public static Pointer shiftLeft(@Cast(value="std::ostream*") @ByRef Pointer os, @Const @ByRef tensorflow.Status x)
@Namespace(value="tensorflow") @StdString @Cast(value={"char*","std::string*"}) public static BytePointer TfCheckOpHelperOutOfLine(@Const @ByRef tensorflow.Status v, @Cast(value="const char*") BytePointer msg)
@Namespace(value="tensorflow") @StdString @Cast(value={"char*","std::string*"}) public static BytePointer TfCheckOpHelperOutOfLine(@Const @ByRef tensorflow.Status v, String msg)
@Namespace(value="tensorflow") @StdString @Cast(value={"char*","std::string*"}) public static BytePointer TfCheckOpHelper(@ByVal tensorflow.Status v, @Cast(value="const char*") BytePointer msg)
@Namespace(value="tensorflow") @StdString @Cast(value={"char*","std::string*"}) public static BytePointer TfCheckOpHelper(@ByVal tensorflow.Status v, String msg)
public static void TF_CHECK_OK(@ByVal tensorflow.Status val)
public static void TF_QCHECK_OK(@ByVal tensorflow.Status val)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean ParseProtoUnlimited(@Cast(value="tensorflow::protobuf::MessageLite*") tensorflow.MessageLite proto, @StdString BytePointer serialized)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean ParseProtoUnlimited(@Cast(value="tensorflow::protobuf::MessageLite*") tensorflow.MessageLite proto, @StdString String serialized)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean ParseProtoUnlimited(@Cast(value="tensorflow::protobuf::MessageLite*") tensorflow.MessageLite proto, @Const Pointer serialized, @Cast(value="size_t") long size)
@Namespace(value="tensorflow") @StdString public static BytePointer ProtobufStringToString(@StdString BytePointer s)
@Namespace(value="tensorflow") @StdString public static String ProtobufStringToString(@StdString String s)
@Namespace(value="tensorflow") public static void SetProtobufStringSwapAllowed(@StdString @Cast(value={"char*","std::string*"}) BytePointer src, @StdString @Cast(value={"char*","std::string*"}) BytePointer dest)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status FileSystemCopyFile(tensorflow.FileSystem src_fs, @StdString BytePointer src, tensorflow.FileSystem target_fs, @StdString BytePointer target)
src in file system src_fs
to target in file system target_fs.@Namespace(value="tensorflow") @ByVal public static tensorflow.Status FileSystemCopyFile(tensorflow.FileSystem src_fs, @StdString String src, tensorflow.FileSystem target_fs, @StdString String target)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ReadFileToString(tensorflow.Env env, @StdString BytePointer fname, @StdString @Cast(value={"char*","std::string*"}) BytePointer data)
*data@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ReadFileToString(tensorflow.Env env, @StdString String fname, @StdString @Cast(value={"char*","std::string*"}) BytePointer data)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status WriteStringToFile(tensorflow.Env env, @StdString BytePointer fname, @tensorflow.StringPiece BytePointer data)
data to file named fname
(overwriting existing contents, if any).@Namespace(value="tensorflow") @ByVal public static tensorflow.Status WriteStringToFile(tensorflow.Env env, @StdString String fname, @tensorflow.StringPiece String data)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status WriteBinaryProto(tensorflow.Env env, @StdString BytePointer fname, @Cast(value="const tensorflow::protobuf::MessageLite*") @ByRef tensorflow.MessageLite proto)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status WriteBinaryProto(tensorflow.Env env, @StdString String fname, @Cast(value="const tensorflow::protobuf::MessageLite*") @ByRef tensorflow.MessageLite proto)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ReadBinaryProto(tensorflow.Env env, @StdString BytePointer fname, @Cast(value="tensorflow::protobuf::MessageLite*") tensorflow.MessageLite proto)
*proto.@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ReadBinaryProto(tensorflow.Env env, @StdString String fname, @Cast(value="tensorflow::protobuf::MessageLite*") tensorflow.MessageLite proto)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status WriteTextProto(tensorflow.Env env, @StdString BytePointer fname, @Cast(value="const tensorflow::protobuf::Message*") @ByRef tensorflow.MessageLite proto)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status WriteTextProto(tensorflow.Env env, @StdString String fname, @Cast(value="const tensorflow::protobuf::Message*") @ByRef tensorflow.MessageLite proto)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ReadTextProto(tensorflow.Env env, @StdString BytePointer fname, @Cast(value="tensorflow::protobuf::Message*") tensorflow.MessageLite proto)
*proto.@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ReadTextProto(tensorflow.Env env, @StdString String fname, @Cast(value="tensorflow::protobuf::Message*") tensorflow.MessageLite proto)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_Toggle_IsValid(int value)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::RewriterConfig_Toggle") public static int RewriterConfig_Toggle_Toggle_MIN()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::RewriterConfig_Toggle") public static int RewriterConfig_Toggle_Toggle_MAX()
@Namespace(value="tensorflow") @MemberGetter public static int RewriterConfig_Toggle_Toggle_ARRAYSIZE()
@Namespace(value="tensorflow") @Cast(value="const google::protobuf::EnumDescriptor*") public static Pointer RewriterConfig_Toggle_descriptor()
@Namespace(value="tensorflow") @StdString public static BytePointer RewriterConfig_Toggle_Name(@Cast(value="tensorflow::RewriterConfig_Toggle") int value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_Toggle_Parse(@StdString BytePointer name, @Cast(value="tensorflow::RewriterConfig_Toggle*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_Toggle_Parse(@StdString String name, @Cast(value="tensorflow::RewriterConfig_Toggle*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_Toggle_Parse(@StdString BytePointer name, @Cast(value="tensorflow::RewriterConfig_Toggle*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_Toggle_Parse(@StdString String name, @Cast(value="tensorflow::RewriterConfig_Toggle*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_Toggle_Parse(@StdString BytePointer name, @Cast(value="tensorflow::RewriterConfig_Toggle*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_Toggle_Parse(@StdString String name, @Cast(value="tensorflow::RewriterConfig_Toggle*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_NumIterationsType_IsValid(int value)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::RewriterConfig_NumIterationsType") public static int RewriterConfig_NumIterationsType_NumIterationsType_MIN()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::RewriterConfig_NumIterationsType") public static int RewriterConfig_NumIterationsType_NumIterationsType_MAX()
@Namespace(value="tensorflow") @MemberGetter public static int RewriterConfig_NumIterationsType_NumIterationsType_ARRAYSIZE()
@Namespace(value="tensorflow") @Cast(value="const google::protobuf::EnumDescriptor*") public static Pointer RewriterConfig_NumIterationsType_descriptor()
@Namespace(value="tensorflow") @StdString public static BytePointer RewriterConfig_NumIterationsType_Name(@Cast(value="tensorflow::RewriterConfig_NumIterationsType") int value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_NumIterationsType_Parse(@StdString BytePointer name, @Cast(value="tensorflow::RewriterConfig_NumIterationsType*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_NumIterationsType_Parse(@StdString String name, @Cast(value="tensorflow::RewriterConfig_NumIterationsType*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_NumIterationsType_Parse(@StdString BytePointer name, @Cast(value="tensorflow::RewriterConfig_NumIterationsType*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_NumIterationsType_Parse(@StdString String name, @Cast(value="tensorflow::RewriterConfig_NumIterationsType*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_NumIterationsType_Parse(@StdString BytePointer name, @Cast(value="tensorflow::RewriterConfig_NumIterationsType*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_NumIterationsType_Parse(@StdString String name, @Cast(value="tensorflow::RewriterConfig_NumIterationsType*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_MemOptType_IsValid(int value)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::RewriterConfig_MemOptType") public static int RewriterConfig_MemOptType_MemOptType_MIN()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::RewriterConfig_MemOptType") public static int RewriterConfig_MemOptType_MemOptType_MAX()
@Namespace(value="tensorflow") @MemberGetter public static int RewriterConfig_MemOptType_MemOptType_ARRAYSIZE()
@Namespace(value="tensorflow") @Cast(value="const google::protobuf::EnumDescriptor*") public static Pointer RewriterConfig_MemOptType_descriptor()
@Namespace(value="tensorflow") @StdString public static BytePointer RewriterConfig_MemOptType_Name(@Cast(value="tensorflow::RewriterConfig_MemOptType") int value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_MemOptType_Parse(@StdString BytePointer name, @Cast(value="tensorflow::RewriterConfig_MemOptType*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_MemOptType_Parse(@StdString String name, @Cast(value="tensorflow::RewriterConfig_MemOptType*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_MemOptType_Parse(@StdString BytePointer name, @Cast(value="tensorflow::RewriterConfig_MemOptType*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_MemOptType_Parse(@StdString String name, @Cast(value="tensorflow::RewriterConfig_MemOptType*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_MemOptType_Parse(@StdString BytePointer name, @Cast(value="tensorflow::RewriterConfig_MemOptType*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RewriterConfig_MemOptType_Parse(@StdString String name, @Cast(value="tensorflow::RewriterConfig_MemOptType*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_Level_IsValid(int value)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::OptimizerOptions_Level") public static int OptimizerOptions_Level_Level_MIN()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::OptimizerOptions_Level") public static int OptimizerOptions_Level_Level_MAX()
@Namespace(value="tensorflow") @MemberGetter public static int OptimizerOptions_Level_Level_ARRAYSIZE()
@Namespace(value="tensorflow") @Cast(value="const google::protobuf::EnumDescriptor*") public static Pointer OptimizerOptions_Level_descriptor()
@Namespace(value="tensorflow") @StdString public static BytePointer OptimizerOptions_Level_Name(@Cast(value="tensorflow::OptimizerOptions_Level") int value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_Level_Parse(@StdString BytePointer name, @Cast(value="tensorflow::OptimizerOptions_Level*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_Level_Parse(@StdString String name, @Cast(value="tensorflow::OptimizerOptions_Level*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_Level_Parse(@StdString BytePointer name, @Cast(value="tensorflow::OptimizerOptions_Level*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_Level_Parse(@StdString String name, @Cast(value="tensorflow::OptimizerOptions_Level*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_Level_Parse(@StdString BytePointer name, @Cast(value="tensorflow::OptimizerOptions_Level*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_Level_Parse(@StdString String name, @Cast(value="tensorflow::OptimizerOptions_Level*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_GlobalJitLevel_IsValid(int value)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::OptimizerOptions_GlobalJitLevel") public static int OptimizerOptions_GlobalJitLevel_GlobalJitLevel_MIN()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::OptimizerOptions_GlobalJitLevel") public static int OptimizerOptions_GlobalJitLevel_GlobalJitLevel_MAX()
@Namespace(value="tensorflow") @MemberGetter public static int OptimizerOptions_GlobalJitLevel_GlobalJitLevel_ARRAYSIZE()
@Namespace(value="tensorflow") @Cast(value="const google::protobuf::EnumDescriptor*") public static Pointer OptimizerOptions_GlobalJitLevel_descriptor()
@Namespace(value="tensorflow") @StdString public static BytePointer OptimizerOptions_GlobalJitLevel_Name(@Cast(value="tensorflow::OptimizerOptions_GlobalJitLevel") int value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_GlobalJitLevel_Parse(@StdString BytePointer name, @Cast(value="tensorflow::OptimizerOptions_GlobalJitLevel*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_GlobalJitLevel_Parse(@StdString String name, @Cast(value="tensorflow::OptimizerOptions_GlobalJitLevel*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_GlobalJitLevel_Parse(@StdString BytePointer name, @Cast(value="tensorflow::OptimizerOptions_GlobalJitLevel*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_GlobalJitLevel_Parse(@StdString String name, @Cast(value="tensorflow::OptimizerOptions_GlobalJitLevel*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_GlobalJitLevel_Parse(@StdString BytePointer name, @Cast(value="tensorflow::OptimizerOptions_GlobalJitLevel*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OptimizerOptions_GlobalJitLevel_Parse(@StdString String name, @Cast(value="tensorflow::OptimizerOptions_GlobalJitLevel*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RunOptions_TraceLevel_IsValid(int value)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::RunOptions_TraceLevel") public static int RunOptions_TraceLevel_TraceLevel_MIN()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::RunOptions_TraceLevel") public static int RunOptions_TraceLevel_TraceLevel_MAX()
@Namespace(value="tensorflow") @MemberGetter public static int RunOptions_TraceLevel_TraceLevel_ARRAYSIZE()
@Namespace(value="tensorflow") @Cast(value="const google::protobuf::EnumDescriptor*") public static Pointer RunOptions_TraceLevel_descriptor()
@Namespace(value="tensorflow") @StdString public static BytePointer RunOptions_TraceLevel_Name(@Cast(value="tensorflow::RunOptions_TraceLevel") int value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RunOptions_TraceLevel_Parse(@StdString BytePointer name, @Cast(value="tensorflow::RunOptions_TraceLevel*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RunOptions_TraceLevel_Parse(@StdString String name, @Cast(value="tensorflow::RunOptions_TraceLevel*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RunOptions_TraceLevel_Parse(@StdString BytePointer name, @Cast(value="tensorflow::RunOptions_TraceLevel*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RunOptions_TraceLevel_Parse(@StdString String name, @Cast(value="tensorflow::RunOptions_TraceLevel*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RunOptions_TraceLevel_Parse(@StdString BytePointer name, @Cast(value="tensorflow::RunOptions_TraceLevel*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean RunOptions_TraceLevel_Parse(@StdString String name, @Cast(value="tensorflow::RunOptions_TraceLevel*") int... value)
@Namespace(value="tensorflow") public static tensorflow.Allocator cpu_allocator()
@Namespace(value="tensorflow") public static void EnableCPUAllocatorStats(@Cast(value="bool") boolean enable)
@Namespace(value="tensorflow") public static void EnableCPUAllocatorFullStats(@Cast(value="bool") boolean enable)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataType_IsValid(int value)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::DataType") public static int DataType_MIN()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::DataType") public static int DataType_MAX()
@Namespace(value="tensorflow") @MemberGetter public static int DataType_ARRAYSIZE()
@Namespace(value="tensorflow") @Cast(value="const google::protobuf::EnumDescriptor*") public static Pointer DataType_descriptor()
@Namespace(value="tensorflow") @StdString public static BytePointer DataType_Name(@Cast(value="tensorflow::DataType") int value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataType_Parse(@StdString BytePointer name, @Cast(value="tensorflow::DataType*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataType_Parse(@StdString String name, @Cast(value="tensorflow::DataType*") IntPointer value)
@Namespace(value="tensorflow::tensor") @ByVal public static tensorflow.Tensor DeepCopy(@Const @ByRef tensorflow.Tensor other)
@Namespace(value="tensorflow::tensor") @ByVal public static tensorflow.Status Concat(@Const @ByRef tensorflow.TensorVector tensors, tensorflow.Tensor result)
@Namespace(value="tensorflow::tensor") @ByVal public static tensorflow.Status Split(@Const @ByRef tensorflow.Tensor tensor, @Cast(value="tensorflow::int64*") @tensorflow.ArraySlice LongPointer sizes, tensorflow.TensorVector result)
@Namespace(value="tensorflow::tensor") @ByVal public static tensorflow.Status Split(@Const @ByRef tensorflow.Tensor tensor, @Cast(value="tensorflow::int64*") @tensorflow.ArraySlice LongBuffer sizes, tensorflow.TensorVector result)
@Namespace(value="tensorflow::tensor") @ByVal public static tensorflow.Status Split(@Const @ByRef tensorflow.Tensor tensor, @Cast(value="tensorflow::int64*") @tensorflow.ArraySlice long[] sizes, tensorflow.TensorVector result)
@Namespace(value="tensorflow::tensor::internal") public static void SetTensorProtoShape(@Cast(value="size_t*") @StdVector SizeTPointer shape, tensorflow.TensorShapeProto shape_proto)
@Namespace(value="tensorflow::batch_util") @ByVal public static tensorflow.Status CopyElementToSlice(@ByVal tensorflow.Tensor element, tensorflow.Tensor parent, @Cast(value="tensorflow::int64") long index)
@Namespace(value="tensorflow::batch_util") @ByVal public static tensorflow.Status MaybeMoveSliceToElement(tensorflow.Tensor parent, tensorflow.Tensor element, @Cast(value="tensorflow::int64") long index)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean ApiDef_Visibility_IsValid(int value)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::ApiDef_Visibility") public static int ApiDef_Visibility_Visibility_MIN()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::ApiDef_Visibility") public static int ApiDef_Visibility_Visibility_MAX()
@Namespace(value="tensorflow") @MemberGetter public static int ApiDef_Visibility_Visibility_ARRAYSIZE()
@Namespace(value="tensorflow") @Cast(value="const google::protobuf::EnumDescriptor*") public static Pointer ApiDef_Visibility_descriptor()
@Namespace(value="tensorflow") @StdString public static BytePointer ApiDef_Visibility_Name(@Cast(value="tensorflow::ApiDef_Visibility") int value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean ApiDef_Visibility_Parse(@StdString BytePointer name, @Cast(value="tensorflow::ApiDef_Visibility*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean ApiDef_Visibility_Parse(@StdString String name, @Cast(value="tensorflow::ApiDef_Visibility*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean ApiDef_Visibility_Parse(@StdString BytePointer name, @Cast(value="tensorflow::ApiDef_Visibility*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean ApiDef_Visibility_Parse(@StdString String name, @Cast(value="tensorflow::ApiDef_Visibility*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean ApiDef_Visibility_Parse(@StdString BytePointer name, @Cast(value="tensorflow::ApiDef_Visibility*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean ApiDef_Visibility_Parse(@StdString String name, @Cast(value="tensorflow::ApiDef_Visibility*") int... value)
@Namespace(value="tensorflow") @Cast(value="std::ostream*") @ByRef @Name(value="operator <<") public static Pointer shiftLeft(@Cast(value="std::ostream*") @ByRef Pointer os, @Const @ByRef tensorflow.DeviceType d)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer DEVICE_CPU()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer DEVICE_GPU()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer DEVICE_SYCL()
@Namespace(value="tensorflow") @StdString public static BytePointer DataTypeString(@Cast(value="tensorflow::DataType") int dtype)
@Namespace(value="tensorflow") @StdString public static BytePointer DeviceTypeString(@Const @ByRef tensorflow.DeviceType device_type)
@Namespace(value="tensorflow") @StdString public static BytePointer DataTypeSliceString(@ByVal @Cast(value="const tensorflow::DataTypeSlice*") tensorflow.DataTypeVector dtypes)
@Namespace(value="tensorflow") @StdString public static BytePointer DataTypeVectorString(@Const @ByRef tensorflow.DataTypeVector dtypes)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataTypeFromString(@tensorflow.StringPiece BytePointer sp, @Cast(value="tensorflow::DataType*") IntPointer dt)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataTypeFromString(@tensorflow.StringPiece String sp, @Cast(value="tensorflow::DataType*") IntPointer dt)
@Namespace(value="tensorflow") @Const @ByVal public static tensorflow.DataTypeSet ToSet(@Cast(value="tensorflow::DataType") int dt)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsRefType(@Cast(value="tensorflow::DataType") int dtype)
@Namespace(value="tensorflow") @Cast(value="tensorflow::DataType") public static int MakeRefType(@Cast(value="tensorflow::DataType") int dtype)
@Namespace(value="tensorflow") @Cast(value="tensorflow::DataType") public static int RemoveRefType(@Cast(value="tensorflow::DataType") int dtype)
@Namespace(value="tensorflow") @Cast(value="tensorflow::DataType") public static int BaseType(@Cast(value="tensorflow::DataType") int dtype)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean TypesCompatible(@Cast(value="tensorflow::DataType") int expected, @Cast(value="tensorflow::DataType") int actual)
@Namespace(value="tensorflow") @MemberGetter @Const @ByRef public static tensorflow.DataTypeSet kAllTypes()
@Namespace(value="tensorflow") @Const @ByRef public static tensorflow.DataTypeSet AllTypes()
@Namespace(value="tensorflow") @MemberGetter @Const @ByRef public static tensorflow.DataTypeSet kRealNumberTypes()
@Namespace(value="tensorflow") @Const @ByVal public static tensorflow.DataTypeSet RealNumberTypes()
@Namespace(value="tensorflow") @MemberGetter @Const @ByRef public static tensorflow.DataTypeSet kNumberTypes()
@Namespace(value="tensorflow") @MemberGetter @Const @ByRef public static tensorflow.DataTypeSet kQuantizedTypes()
@Namespace(value="tensorflow") @MemberGetter @Const @ByRef public static tensorflow.DataTypeSet kRealAndQuantizedTypes()
@Namespace(value="tensorflow") @MemberGetter @Const @ByRef public static tensorflow.DataTypeSet kDataTypesCanUseMemcpy()
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataTypeCanUseMemcpy(@Cast(value="tensorflow::DataType") int dt)
@Namespace(value="tensorflow") @MemberGetter @Const @ByRef public static tensorflow.DataTypeSet kDataTypeIsFloating()
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataTypeIsFloating(@Cast(value="tensorflow::DataType") int dt)
@Namespace(value="tensorflow") @MemberGetter @Const @ByRef public static tensorflow.DataTypeSet kDataTypeIsComplex()
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataTypeIsComplex(@Cast(value="tensorflow::DataType") int dt)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataTypeIsQuantized(@Cast(value="tensorflow::DataType") int dt)
@Namespace(value="tensorflow") @MemberGetter @Const @ByRef public static tensorflow.DataTypeSet kDataTypeIsInteger()
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataTypeIsInteger(@Cast(value="tensorflow::DataType") int dt)
@Namespace(value="tensorflow") @MemberGetter @Const @ByRef public static tensorflow.DataTypeSet kDataTypeIsSigned()
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataTypeIsSigned(@Cast(value="tensorflow::DataType") int dt)
@Namespace(value="tensorflow") @MemberGetter @Const @ByRef public static tensorflow.DataTypeSet kDataTypeIsUnsigned()
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataTypeIsUnsigned(@Cast(value="tensorflow::DataType") int dt)
@Namespace(value="tensorflow") public static int DataTypeSize(@Cast(value="tensorflow::DataType") int dt)
@Namespace(value="tensorflow") @Cast(value="tensorflow::MemoryType") public static int MTypeFromDType(@Cast(value="const tensorflow::DataType") int dtype)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean DataTypeAlwaysOnHost(@Cast(value="tensorflow::DataType") int dt)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::uint64") public static long kIllegalFrameId()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::int64") public static long kIllegalIterId()
@Namespace(value="tensorflow") @UniquePtr public static tensorflow.OpKernel CreateOpKernel(@ByVal tensorflow.DeviceType device_type, tensorflow.DeviceBase device, tensorflow.Allocator allocator, @Const @ByRef tensorflow.NodeDef def, int graph_def_version, tensorflow.Status status)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status CreateOpKernel(@ByVal tensorflow.DeviceType device_type, tensorflow.DeviceBase device, tensorflow.Allocator allocator, tensorflow.FunctionLibraryRuntime flib, @Const @ByRef tensorflow.NodeDef def, int graph_def_version, @Cast(value="tensorflow::OpKernel**") PointerPointer kernel)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status CreateOpKernel(@ByVal tensorflow.DeviceType device_type, tensorflow.DeviceBase device, tensorflow.Allocator allocator, tensorflow.FunctionLibraryRuntime flib, @Const @ByRef tensorflow.NodeDef def, int graph_def_version, @ByPtrPtr tensorflow.OpKernel kernel)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status SupportedDeviceTypesForNode(@StdVector tensorflow.DeviceType prioritized_types, @Const @ByRef tensorflow.NodeDef def, tensorflow.DeviceTypeVector device_types)
@Namespace(value="tensorflow") @StdString public static BytePointer KernelsRegisteredForOp(@tensorflow.StringPiece BytePointer op_name)
@Namespace(value="tensorflow") @StdString public static String KernelsRegisteredForOp(@tensorflow.StringPiece String op_name)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ValidateKernelRegistrations(@Const @ByRef tensorflow.OpRegistryInterface op_registry)
@Namespace(value="tensorflow") public static Pointer GlobalKernelRegistry()
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status FindKernelDef(@Const @ByRef tensorflow.DeviceType device_type, @Const @ByRef tensorflow.NodeDef node_def, @Cast(value="const tensorflow::KernelDef**") PointerPointer def, @StdString @Cast(value={"char*","std::string*"}) BytePointer kernel_class_name)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status FindKernelDef(@Const @ByRef tensorflow.DeviceType device_type, @Const @ByRef tensorflow.NodeDef node_def, @Const @ByPtrPtr tensorflow.KernelDef def, @StdString @Cast(value={"char*","std::string*"}) BytePointer kernel_class_name)
@Namespace(value="tensorflow") public static void LogAllRegisteredKernels()
@Namespace(value="tensorflow") @ByVal public static tensorflow.KernelList GetAllRegisteredKernels()
@Namespace(value="tensorflow") @ByVal public static tensorflow.KernelList GetFilteredRegisteredKernels(@Const @ByRef tensorflow.KernelDefPredicateFn predicate)
@Namespace(value="tensorflow") @ByVal public static tensorflow.KernelList GetRegisteredKernelsForOp(@tensorflow.StringPiece BytePointer op_name)
@Namespace(value="tensorflow") @ByVal public static tensorflow.KernelList GetRegisteredKernelsForOp(@tensorflow.StringPiece String op_name)
@Namespace(value="tensorflow") public static void CheckNotInComputeAsync(tensorflow.XlaOpKernelContext arg0, @Cast(value="const char*") BytePointer arg1)
@Namespace(value="tensorflow") public static void CheckNotInComputeAsync(tensorflow.XlaOpKernelContext arg0, String arg1)
@Namespace(value="tensorflow") public static void CheckNotInComputeAsync(tensorflow.OpKernelConstruction arg0, @Cast(value="const char*") BytePointer arg1)
@Namespace(value="tensorflow") public static void CheckNotInComputeAsync(tensorflow.OpKernelConstruction arg0, String arg1)
@Namespace(value="tensorflow") public static void CheckNotInComputeAsync(tensorflow.OpKernelContext ctx, @Cast(value="const char*") BytePointer correct_macro_name)
@Namespace(value="tensorflow") public static void CheckNotInComputeAsync(tensorflow.OpKernelContext ctx, String correct_macro_name)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status NewSession(@Const @ByRef tensorflow.SessionOptions options, @Cast(value="tensorflow::Session**") PointerPointer out_session)
Session will be stored in
*out_session, the caller will take ownership of the returned
*out_session, and this function will return OK(). Otherwise, this
function will return an error status and set *out_session to nullptr.@Namespace(value="tensorflow") @ByVal public static tensorflow.Status NewSession(@Const @ByRef tensorflow.SessionOptions options, @ByPtrPtr tensorflow.Session out_session)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status Reset(@Const @ByRef tensorflow.SessionOptions options, @Const @ByRef tensorflow.StringVector containers)
containers is a vector of string representation of resource container
names. When a resource container is reset, the resources held by the
container will be released. In particular, all Variables in the container
will become undefined. If the "containers" vector is empty, the default
container is assumed. If the "containers" vector is non-empty, the
default container should be listed explicitly.
If Reset succeeds, this function will return OK(). Otherwise, this
function will return an error status.@Namespace(value="tensorflow") public static tensorflow.Session NewSession(@Const @ByRef tensorflow.SessionOptions options)
Session object could not be created, this function will
return nullptr.
*Strongly prefer* the version of NewSession that returns Status,
which contains more helpful error information.@Namespace(value="tensorflow::checkpoint") @ByVal public static tensorflow.Status RegisterTensorSlice(@StdString BytePointer name, @Const @ByRef tensorflow.TensorShape shape, @Cast(value="tensorflow::DataType") int type, @StdString BytePointer tag, @Const @ByRef tensorflow.TensorSlice slice, tensorflow.StringTensorSliceSetMap tensor_slices)
@Namespace(value="tensorflow::checkpoint") @ByVal public static tensorflow.Status RegisterTensorSlice(@StdString String name, @Const @ByRef tensorflow.TensorShape shape, @Cast(value="tensorflow::DataType") int type, @StdString String tag, @Const @ByRef tensorflow.TensorSlice slice, tensorflow.StringTensorSliceSetMap tensor_slices)
@Namespace(value="tensorflow") @MemberGetter public static int kTensorSliceMaxRank()
@Namespace(value="tensorflow::checkpoint") @ByVal public static tensorflow.Status OpenTableTensorSliceReader(@StdString BytePointer fname, @Cast(value="tensorflow::checkpoint::TensorSliceReader::Table**") PointerPointer table)
@Namespace(value="tensorflow::checkpoint") @ByVal public static tensorflow.Status OpenTableTensorSliceReader(@StdString BytePointer fname, @ByPtrPtr tensorflow.TensorSliceReader.Table table)
@Namespace(value="tensorflow::checkpoint") @ByVal public static tensorflow.Status OpenTableTensorSliceReader(@StdString String fname, @ByPtrPtr tensorflow.TensorSliceReader.Table table)
@Namespace(value="tensorflow") @MemberGetter public static int kTensorBundleMinProducer()
@Namespace(value="tensorflow") @MemberGetter public static int kTensorBundleMinConsumer()
@Namespace(value="tensorflow") @MemberGetter public static int kTensorBundleVersion()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kHeaderEntryKey()
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status MergeBundles(tensorflow.Env env, @ByVal @Cast(value="tensorflow::gtl::ArraySlice<tensorflow::string>*") tensorflow.StringVector prefixes, @tensorflow.StringPiece BytePointer merged_prefix)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status MergeBundles(tensorflow.Env env, @ByVal @Cast(value="tensorflow::gtl::ArraySlice<tensorflow::string>*") tensorflow.StringVector prefixes, @tensorflow.StringPiece String merged_prefix)
@Namespace(value="tensorflow") public static void Set_TF_Status_from_Status(tensorflow.TF_Status tf_status, @Const @ByRef tensorflow.Status status)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status StatusFromTF_Status(@Const tensorflow.TF_Status tf_status)
@Cast(value="const char*") public static BytePointer TF_Version()
@Cast(value="size_t") public static long TF_DataTypeSize(@Cast(value="TF_DataType") int dt)
public static tensorflow.TF_Status TF_NewStatus()
public static void TF_DeleteStatus(tensorflow.TF_Status arg0)
public static void TF_SetStatus(tensorflow.TF_Status s, @Cast(value="TF_Code") int code, @Cast(value="const char*") BytePointer msg)
public static void TF_SetStatus(tensorflow.TF_Status s, @Cast(value="TF_Code") int code, String msg)
@Cast(value="TF_Code") public static int TF_GetCode(@Const tensorflow.TF_Status s)
@Cast(value="const char*") public static BytePointer TF_Message(@Const tensorflow.TF_Status s)
public static tensorflow.TF_Buffer TF_NewBufferFromString(@Const Pointer proto, @Cast(value="size_t") long proto_len)
public static tensorflow.TF_Buffer TF_NewBuffer()
public static void TF_DeleteBuffer(tensorflow.TF_Buffer arg0)
@ByVal public static tensorflow.TF_Buffer TF_GetBuffer(tensorflow.TF_Buffer buffer)
public static tensorflow.TF_Tensor TF_NewTensor(@Cast(value="TF_DataType") int arg0, @Cast(value="const int64_t*") LongPointer dims, int num_dims, Pointer data, @Cast(value="size_t") long len, tensorflow.Deallocator_Pointer_long_Pointer deallocator, Pointer deallocator_arg)
public static tensorflow.TF_Tensor TF_NewTensor(@Cast(value="TF_DataType") int arg0, @Cast(value="const int64_t*") LongBuffer dims, int num_dims, Pointer data, @Cast(value="size_t") long len, tensorflow.Deallocator_Pointer_long_Pointer deallocator, Pointer deallocator_arg)
public static tensorflow.TF_Tensor TF_NewTensor(@Cast(value="TF_DataType") int arg0, @Cast(value="const int64_t*") long[] dims, int num_dims, Pointer data, @Cast(value="size_t") long len, tensorflow.Deallocator_Pointer_long_Pointer deallocator, Pointer deallocator_arg)
public static tensorflow.TF_Tensor TF_AllocateTensor(@Cast(value="TF_DataType") int arg0, @Cast(value="const int64_t*") LongPointer dims, int num_dims, @Cast(value="size_t") long len)
public static tensorflow.TF_Tensor TF_AllocateTensor(@Cast(value="TF_DataType") int arg0, @Cast(value="const int64_t*") LongBuffer dims, int num_dims, @Cast(value="size_t") long len)
public static tensorflow.TF_Tensor TF_AllocateTensor(@Cast(value="TF_DataType") int arg0, @Cast(value="const int64_t*") long[] dims, int num_dims, @Cast(value="size_t") long len)
public static tensorflow.TF_Tensor TF_TensorMaybeMove(tensorflow.TF_Tensor tensor)
public static void TF_DeleteTensor(tensorflow.TF_Tensor arg0)
@Cast(value="TF_DataType") public static int TF_TensorType(@Const tensorflow.TF_Tensor arg0)
public static int TF_NumDims(@Const tensorflow.TF_Tensor arg0)
@Cast(value="int64_t") public static long TF_Dim(@Const tensorflow.TF_Tensor tensor, int dim_index)
@Cast(value="size_t") public static long TF_TensorByteSize(@Const tensorflow.TF_Tensor arg0)
public static Pointer TF_TensorData(@Const tensorflow.TF_Tensor arg0)
@Cast(value="size_t") public static long TF_StringEncode(@Cast(value="const char*") BytePointer src, @Cast(value="size_t") long src_len, @Cast(value="char*") BytePointer dst, @Cast(value="size_t") long dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringEncode(String src, @Cast(value="size_t") long src_len, @Cast(value="char*") ByteBuffer dst, @Cast(value="size_t") long dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringEncode(@Cast(value="const char*") BytePointer src, @Cast(value="size_t") long src_len, @Cast(value="char*") byte[] dst, @Cast(value="size_t") long dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringEncode(String src, @Cast(value="size_t") long src_len, @Cast(value="char*") BytePointer dst, @Cast(value="size_t") long dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringEncode(@Cast(value="const char*") BytePointer src, @Cast(value="size_t") long src_len, @Cast(value="char*") ByteBuffer dst, @Cast(value="size_t") long dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringEncode(String src, @Cast(value="size_t") long src_len, @Cast(value="char*") byte[] dst, @Cast(value="size_t") long dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringDecode(@Cast(value="const char*") BytePointer src, @Cast(value="size_t") long src_len, @Cast(value="const char**") PointerPointer dst, @Cast(value="size_t*") SizeTPointer dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringDecode(@Cast(value="const char*") BytePointer src, @Cast(value="size_t") long src_len, @Cast(value="const char**") @ByPtrPtr BytePointer dst, @Cast(value="size_t*") SizeTPointer dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringDecode(String src, @Cast(value="size_t") long src_len, @Cast(value="const char**") @ByPtrPtr ByteBuffer dst, @Cast(value="size_t*") SizeTPointer dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringDecode(@Cast(value="const char*") BytePointer src, @Cast(value="size_t") long src_len, @Cast(value="const char**") @ByPtrPtr byte[] dst, @Cast(value="size_t*") SizeTPointer dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringDecode(String src, @Cast(value="size_t") long src_len, @Cast(value="const char**") @ByPtrPtr BytePointer dst, @Cast(value="size_t*") SizeTPointer dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringDecode(@Cast(value="const char*") BytePointer src, @Cast(value="size_t") long src_len, @Cast(value="const char**") @ByPtrPtr ByteBuffer dst, @Cast(value="size_t*") SizeTPointer dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringDecode(String src, @Cast(value="size_t") long src_len, @Cast(value="const char**") @ByPtrPtr byte[] dst, @Cast(value="size_t*") SizeTPointer dst_len, tensorflow.TF_Status status)
@Cast(value="size_t") public static long TF_StringEncodedSize(@Cast(value="size_t") long len)
public static tensorflow.TF_SessionOptions TF_NewSessionOptions()
public static void TF_SetTarget(tensorflow.TF_SessionOptions options, @Cast(value="const char*") BytePointer target)
public static void TF_SetTarget(tensorflow.TF_SessionOptions options, String target)
public static void TF_SetConfig(tensorflow.TF_SessionOptions options, @Const Pointer proto, @Cast(value="size_t") long proto_len, tensorflow.TF_Status status)
public static void TF_DeleteSessionOptions(tensorflow.TF_SessionOptions arg0)
public static tensorflow.TF_Graph TF_NewGraph()
public static void TF_DeleteGraph(tensorflow.TF_Graph arg0)
public static void TF_GraphSetTensorShape(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, @Cast(value="const int64_t*") LongPointer dims, int num_dims, tensorflow.TF_Status status)
public static void TF_GraphSetTensorShape(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, @Cast(value="const int64_t*") LongBuffer dims, int num_dims, tensorflow.TF_Status status)
public static void TF_GraphSetTensorShape(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, @Cast(value="const int64_t*") long[] dims, int num_dims, tensorflow.TF_Status status)
public static int TF_GraphGetTensorNumDims(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, tensorflow.TF_Status status)
public static void TF_GraphGetTensorShape(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, @Cast(value="int64_t*") LongPointer dims, int num_dims, tensorflow.TF_Status status)
public static void TF_GraphGetTensorShape(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, @Cast(value="int64_t*") LongBuffer dims, int num_dims, tensorflow.TF_Status status)
public static void TF_GraphGetTensorShape(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, @Cast(value="int64_t*") long[] dims, int num_dims, tensorflow.TF_Status status)
public static tensorflow.TF_OperationDescription TF_NewOperation(tensorflow.TF_Graph graph, @Cast(value="const char*") BytePointer op_type, @Cast(value="const char*") BytePointer oper_name)
public static tensorflow.TF_OperationDescription TF_NewOperation(tensorflow.TF_Graph graph, String op_type, String oper_name)
public static void TF_SetDevice(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer device)
public static void TF_SetDevice(tensorflow.TF_OperationDescription desc, String device)
public static void TF_AddInput(tensorflow.TF_OperationDescription desc, @ByVal tensorflow.TF_Output input)
public static void TF_AddInputList(tensorflow.TF_OperationDescription desc, @Const tensorflow.TF_Output inputs, int num_inputs)
public static void TF_AddControlInput(tensorflow.TF_OperationDescription desc, tensorflow.TF_Operation input)
public static void TF_ColocateWith(tensorflow.TF_OperationDescription desc, tensorflow.TF_Operation op)
public static void TF_SetAttrString(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Const Pointer value, @Cast(value="size_t") long length)
public static void TF_SetAttrString(tensorflow.TF_OperationDescription desc, String attr_name, @Const Pointer value, @Cast(value="size_t") long length)
public static void TF_SetAttrStringList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const void*const*") PointerPointer values, @Cast(value="const size_t*") SizeTPointer lengths, int num_values)
public static void TF_SetAttrStringList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const void*const*") @ByPtrPtr Pointer values, @Cast(value="const size_t*") SizeTPointer lengths, int num_values)
public static void TF_SetAttrStringList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const void*const*") @ByPtrPtr Pointer values, @Cast(value="const size_t*") SizeTPointer lengths, int num_values)
public static void TF_SetAttrInt(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t") long value)
public static void TF_SetAttrInt(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="int64_t") long value)
public static void TF_SetAttrIntList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const int64_t*") LongPointer values, int num_values)
public static void TF_SetAttrIntList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const int64_t*") LongBuffer values, int num_values)
public static void TF_SetAttrIntList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const int64_t*") long[] values, int num_values)
public static void TF_SetAttrIntList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const int64_t*") LongPointer values, int num_values)
public static void TF_SetAttrIntList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const int64_t*") LongBuffer values, int num_values)
public static void TF_SetAttrIntList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const int64_t*") long[] values, int num_values)
public static void TF_SetAttrFloat(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, float value)
public static void TF_SetAttrFloat(tensorflow.TF_OperationDescription desc, String attr_name, float value)
public static void TF_SetAttrFloatList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Const FloatPointer values, int num_values)
public static void TF_SetAttrFloatList(tensorflow.TF_OperationDescription desc, String attr_name, @Const FloatBuffer values, int num_values)
public static void TF_SetAttrFloatList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Const float[] values, int num_values)
public static void TF_SetAttrFloatList(tensorflow.TF_OperationDescription desc, String attr_name, @Const FloatPointer values, int num_values)
public static void TF_SetAttrFloatList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Const FloatBuffer values, int num_values)
public static void TF_SetAttrFloatList(tensorflow.TF_OperationDescription desc, String attr_name, @Const float[] values, int num_values)
public static void TF_SetAttrBool(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="unsigned char") byte value)
public static void TF_SetAttrBool(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="unsigned char") byte value)
public static void TF_SetAttrBoolList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const unsigned char*") BytePointer values, int num_values)
public static void TF_SetAttrBoolList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const unsigned char*") ByteBuffer values, int num_values)
public static void TF_SetAttrBoolList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const unsigned char*") byte[] values, int num_values)
public static void TF_SetAttrBoolList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const unsigned char*") BytePointer values, int num_values)
public static void TF_SetAttrBoolList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const unsigned char*") ByteBuffer values, int num_values)
public static void TF_SetAttrBoolList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const unsigned char*") byte[] values, int num_values)
public static void TF_SetAttrType(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="TF_DataType") int value)
public static void TF_SetAttrType(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="TF_DataType") int value)
public static void TF_SetAttrTypeList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const TF_DataType*") IntPointer values, int num_values)
public static void TF_SetAttrTypeList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const TF_DataType*") IntBuffer values, int num_values)
public static void TF_SetAttrTypeList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const TF_DataType*") int[] values, int num_values)
public static void TF_SetAttrTypeList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const TF_DataType*") IntPointer values, int num_values)
public static void TF_SetAttrTypeList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const TF_DataType*") IntBuffer values, int num_values)
public static void TF_SetAttrTypeList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const TF_DataType*") int[] values, int num_values)
public static void TF_SetAttrFuncName(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const char*") BytePointer value, @Cast(value="size_t") long length)
public static void TF_SetAttrFuncName(tensorflow.TF_OperationDescription desc, String attr_name, String value, @Cast(value="size_t") long length)
public static void TF_SetAttrShape(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const int64_t*") LongPointer dims, int num_dims)
public static void TF_SetAttrShape(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const int64_t*") LongBuffer dims, int num_dims)
public static void TF_SetAttrShape(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const int64_t*") long[] dims, int num_dims)
public static void TF_SetAttrShape(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const int64_t*") LongPointer dims, int num_dims)
public static void TF_SetAttrShape(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const int64_t*") LongBuffer dims, int num_dims)
public static void TF_SetAttrShape(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const int64_t*") long[] dims, int num_dims)
public static void TF_SetAttrShapeList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const int64_t*const*") PointerPointer dims, @Const IntPointer num_dims, int num_shapes)
public static void TF_SetAttrShapeList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const int64_t*const*") @ByPtrPtr LongPointer dims, @Const IntPointer num_dims, int num_shapes)
public static void TF_SetAttrShapeList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const int64_t*const*") @ByPtrPtr LongBuffer dims, @Const IntBuffer num_dims, int num_shapes)
public static void TF_SetAttrShapeList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const int64_t*const*") @ByPtrPtr long[] dims, @Const int[] num_dims, int num_shapes)
public static void TF_SetAttrShapeList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const int64_t*const*") @ByPtrPtr LongPointer dims, @Const IntPointer num_dims, int num_shapes)
public static void TF_SetAttrShapeList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const int64_t*const*") @ByPtrPtr LongBuffer dims, @Const IntBuffer num_dims, int num_shapes)
public static void TF_SetAttrShapeList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const int64_t*const*") @ByPtrPtr long[] dims, @Const int[] num_dims, int num_shapes)
public static void TF_SetAttrTensorShapeProto(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Const Pointer proto, @Cast(value="size_t") long proto_len, tensorflow.TF_Status status)
public static void TF_SetAttrTensorShapeProto(tensorflow.TF_OperationDescription desc, String attr_name, @Const Pointer proto, @Cast(value="size_t") long proto_len, tensorflow.TF_Status status)
public static void TF_SetAttrTensorShapeProtoList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const void*const*") PointerPointer protos, @Cast(value="const size_t*") SizeTPointer proto_lens, int num_shapes, tensorflow.TF_Status status)
public static void TF_SetAttrTensorShapeProtoList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="const void*const*") @ByPtrPtr Pointer protos, @Cast(value="const size_t*") SizeTPointer proto_lens, int num_shapes, tensorflow.TF_Status status)
public static void TF_SetAttrTensorShapeProtoList(tensorflow.TF_OperationDescription desc, String attr_name, @Cast(value="const void*const*") @ByPtrPtr Pointer protos, @Cast(value="const size_t*") SizeTPointer proto_lens, int num_shapes, tensorflow.TF_Status status)
public static void TF_SetAttrTensor(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, tensorflow.TF_Tensor value, tensorflow.TF_Status status)
public static void TF_SetAttrTensor(tensorflow.TF_OperationDescription desc, String attr_name, tensorflow.TF_Tensor value, tensorflow.TF_Status status)
public static void TF_SetAttrTensorList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Cast(value="TF_Tensor*const*") PointerPointer values, int num_values, tensorflow.TF_Status status)
public static void TF_SetAttrTensorList(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @ByPtrPtr tensorflow.TF_Tensor values, int num_values, tensorflow.TF_Status status)
public static void TF_SetAttrTensorList(tensorflow.TF_OperationDescription desc, String attr_name, @ByPtrPtr tensorflow.TF_Tensor values, int num_values, tensorflow.TF_Status status)
public static void TF_SetAttrValueProto(tensorflow.TF_OperationDescription desc, @Cast(value="const char*") BytePointer attr_name, @Const Pointer proto, @Cast(value="size_t") long proto_len, tensorflow.TF_Status status)
public static void TF_SetAttrValueProto(tensorflow.TF_OperationDescription desc, String attr_name, @Const Pointer proto, @Cast(value="size_t") long proto_len, tensorflow.TF_Status status)
public static tensorflow.TF_Operation TF_FinishOperation(tensorflow.TF_OperationDescription desc, tensorflow.TF_Status status)
@Cast(value="const char*") public static BytePointer TF_OperationName(tensorflow.TF_Operation oper)
@Cast(value="const char*") public static BytePointer TF_OperationOpType(tensorflow.TF_Operation oper)
@Cast(value="const char*") public static BytePointer TF_OperationDevice(tensorflow.TF_Operation oper)
public static int TF_OperationNumOutputs(tensorflow.TF_Operation oper)
@Cast(value="TF_DataType") public static int TF_OperationOutputType(@ByVal tensorflow.TF_Output oper_out)
public static int TF_OperationOutputListLength(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer arg_name, tensorflow.TF_Status status)
public static int TF_OperationOutputListLength(tensorflow.TF_Operation oper, String arg_name, tensorflow.TF_Status status)
public static int TF_OperationNumInputs(tensorflow.TF_Operation oper)
@Cast(value="TF_DataType") public static int TF_OperationInputType(@ByVal tensorflow.TF_Input oper_in)
public static int TF_OperationInputListLength(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer arg_name, tensorflow.TF_Status status)
public static int TF_OperationInputListLength(tensorflow.TF_Operation oper, String arg_name, tensorflow.TF_Status status)
@ByVal public static tensorflow.TF_Output TF_OperationInput(@ByVal tensorflow.TF_Input oper_in)
public static int TF_OperationOutputNumConsumers(@ByVal tensorflow.TF_Output oper_out)
public static int TF_OperationOutputConsumers(@ByVal tensorflow.TF_Output oper_out, tensorflow.TF_Input consumers, int max_consumers)
public static int TF_OperationNumControlInputs(tensorflow.TF_Operation oper)
public static int TF_OperationGetControlInputs(tensorflow.TF_Operation oper, @Cast(value="TF_Operation**") PointerPointer control_inputs, int max_control_inputs)
public static int TF_OperationGetControlInputs(tensorflow.TF_Operation oper, @ByPtrPtr tensorflow.TF_Operation control_inputs, int max_control_inputs)
public static int TF_OperationNumControlOutputs(tensorflow.TF_Operation oper)
public static int TF_OperationGetControlOutputs(tensorflow.TF_Operation oper, @Cast(value="TF_Operation**") PointerPointer control_outputs, int max_control_outputs)
public static int TF_OperationGetControlOutputs(tensorflow.TF_Operation oper, @ByPtrPtr tensorflow.TF_Operation control_outputs, int max_control_outputs)
@ByVal public static tensorflow.TF_AttrMetadata TF_OperationGetAttrMetadata(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, tensorflow.TF_Status status)
@ByVal public static tensorflow.TF_AttrMetadata TF_OperationGetAttrMetadata(tensorflow.TF_Operation oper, String attr_name, tensorflow.TF_Status status)
public static void TF_OperationGetAttrString(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, Pointer value, @Cast(value="size_t") long max_length, tensorflow.TF_Status status)
public static void TF_OperationGetAttrString(tensorflow.TF_Operation oper, String attr_name, Pointer value, @Cast(value="size_t") long max_length, tensorflow.TF_Status status)
public static void TF_OperationGetAttrStringList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="void**") PointerPointer values, @Cast(value="size_t*") SizeTPointer lengths, int max_values, Pointer storage, @Cast(value="size_t") long storage_size, tensorflow.TF_Status status)
public static void TF_OperationGetAttrStringList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="void**") @ByPtrPtr Pointer values, @Cast(value="size_t*") SizeTPointer lengths, int max_values, Pointer storage, @Cast(value="size_t") long storage_size, tensorflow.TF_Status status)
public static void TF_OperationGetAttrStringList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="void**") @ByPtrPtr Pointer values, @Cast(value="size_t*") SizeTPointer lengths, int max_values, Pointer storage, @Cast(value="size_t") long storage_size, tensorflow.TF_Status status)
public static void TF_OperationGetAttrInt(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t*") LongPointer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrInt(tensorflow.TF_Operation oper, String attr_name, @Cast(value="int64_t*") LongBuffer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrInt(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t*") long[] value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrInt(tensorflow.TF_Operation oper, String attr_name, @Cast(value="int64_t*") LongPointer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrInt(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t*") LongBuffer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrInt(tensorflow.TF_Operation oper, String attr_name, @Cast(value="int64_t*") long[] value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrIntList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t*") LongPointer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrIntList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="int64_t*") LongBuffer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrIntList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t*") long[] values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrIntList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="int64_t*") LongPointer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrIntList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t*") LongBuffer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrIntList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="int64_t*") long[] values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrFloat(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, FloatPointer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrFloat(tensorflow.TF_Operation oper, String attr_name, FloatBuffer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrFloat(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, float[] value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrFloat(tensorflow.TF_Operation oper, String attr_name, FloatPointer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrFloat(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, FloatBuffer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrFloat(tensorflow.TF_Operation oper, String attr_name, float[] value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrFloatList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, FloatPointer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrFloatList(tensorflow.TF_Operation oper, String attr_name, FloatBuffer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrFloatList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, float[] values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrFloatList(tensorflow.TF_Operation oper, String attr_name, FloatPointer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrFloatList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, FloatBuffer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrFloatList(tensorflow.TF_Operation oper, String attr_name, float[] values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrBool(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="unsigned char*") BytePointer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrBool(tensorflow.TF_Operation oper, String attr_name, @Cast(value="unsigned char*") ByteBuffer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrBool(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="unsigned char*") byte[] value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrBool(tensorflow.TF_Operation oper, String attr_name, @Cast(value="unsigned char*") BytePointer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrBool(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="unsigned char*") ByteBuffer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrBool(tensorflow.TF_Operation oper, String attr_name, @Cast(value="unsigned char*") byte[] value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrBoolList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="unsigned char*") BytePointer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrBoolList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="unsigned char*") ByteBuffer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrBoolList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="unsigned char*") byte[] values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrBoolList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="unsigned char*") BytePointer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrBoolList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="unsigned char*") ByteBuffer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrBoolList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="unsigned char*") byte[] values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrType(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="TF_DataType*") IntPointer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrType(tensorflow.TF_Operation oper, String attr_name, @Cast(value="TF_DataType*") IntBuffer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrType(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="TF_DataType*") int[] value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrType(tensorflow.TF_Operation oper, String attr_name, @Cast(value="TF_DataType*") IntPointer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrType(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="TF_DataType*") IntBuffer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrType(tensorflow.TF_Operation oper, String attr_name, @Cast(value="TF_DataType*") int[] value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTypeList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="TF_DataType*") IntPointer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTypeList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="TF_DataType*") IntBuffer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTypeList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="TF_DataType*") int[] values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTypeList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="TF_DataType*") IntPointer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTypeList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="TF_DataType*") IntBuffer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTypeList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="TF_DataType*") int[] values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShape(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t*") LongPointer value, int num_dims, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShape(tensorflow.TF_Operation oper, String attr_name, @Cast(value="int64_t*") LongBuffer value, int num_dims, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShape(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t*") long[] value, int num_dims, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShape(tensorflow.TF_Operation oper, String attr_name, @Cast(value="int64_t*") LongPointer value, int num_dims, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShape(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t*") LongBuffer value, int num_dims, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShape(tensorflow.TF_Operation oper, String attr_name, @Cast(value="int64_t*") long[] value, int num_dims, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShapeList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t**") PointerPointer dims, IntPointer num_dims, int num_shapes, @Cast(value="int64_t*") LongPointer storage, int storage_size, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShapeList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t**") @ByPtrPtr LongPointer dims, IntPointer num_dims, int num_shapes, @Cast(value="int64_t*") LongPointer storage, int storage_size, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShapeList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="int64_t**") @ByPtrPtr LongBuffer dims, IntBuffer num_dims, int num_shapes, @Cast(value="int64_t*") LongBuffer storage, int storage_size, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShapeList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t**") @ByPtrPtr long[] dims, int[] num_dims, int num_shapes, @Cast(value="int64_t*") long[] storage, int storage_size, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShapeList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="int64_t**") @ByPtrPtr LongPointer dims, IntPointer num_dims, int num_shapes, @Cast(value="int64_t*") LongPointer storage, int storage_size, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShapeList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="int64_t**") @ByPtrPtr LongBuffer dims, IntBuffer num_dims, int num_shapes, @Cast(value="int64_t*") LongBuffer storage, int storage_size, tensorflow.TF_Status status)
public static void TF_OperationGetAttrShapeList(tensorflow.TF_Operation oper, String attr_name, @Cast(value="int64_t**") @ByPtrPtr long[] dims, int[] num_dims, int num_shapes, @Cast(value="int64_t*") long[] storage, int storage_size, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTensorShapeProto(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, tensorflow.TF_Buffer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTensorShapeProto(tensorflow.TF_Operation oper, String attr_name, tensorflow.TF_Buffer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTensorShapeProtoList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="TF_Buffer**") PointerPointer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTensorShapeProtoList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @ByPtrPtr tensorflow.TF_Buffer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTensorShapeProtoList(tensorflow.TF_Operation oper, String attr_name, @ByPtrPtr tensorflow.TF_Buffer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTensor(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="TF_Tensor**") PointerPointer value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTensor(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @ByPtrPtr tensorflow.TF_Tensor value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTensor(tensorflow.TF_Operation oper, String attr_name, @ByPtrPtr tensorflow.TF_Tensor value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTensorList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @Cast(value="TF_Tensor**") PointerPointer values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTensorList(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, @ByPtrPtr tensorflow.TF_Tensor values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrTensorList(tensorflow.TF_Operation oper, String attr_name, @ByPtrPtr tensorflow.TF_Tensor values, int max_values, tensorflow.TF_Status status)
public static void TF_OperationGetAttrValueProto(tensorflow.TF_Operation oper, @Cast(value="const char*") BytePointer attr_name, tensorflow.TF_Buffer output_attr_value, tensorflow.TF_Status status)
public static void TF_OperationGetAttrValueProto(tensorflow.TF_Operation oper, String attr_name, tensorflow.TF_Buffer output_attr_value, tensorflow.TF_Status status)
public static tensorflow.TF_Operation TF_GraphOperationByName(tensorflow.TF_Graph graph, @Cast(value="const char*") BytePointer oper_name)
public static tensorflow.TF_Operation TF_GraphOperationByName(tensorflow.TF_Graph graph, String oper_name)
public static tensorflow.TF_Operation TF_GraphNextOperation(tensorflow.TF_Graph graph, @Cast(value="size_t*") SizeTPointer pos)
public static void TF_GraphToGraphDef(tensorflow.TF_Graph graph, tensorflow.TF_Buffer output_graph_def, tensorflow.TF_Status status)
public static void TF_GraphGetOpDef(tensorflow.TF_Graph graph, @Cast(value="const char*") BytePointer op_name, tensorflow.TF_Buffer output_op_def, tensorflow.TF_Status status)
public static void TF_GraphGetOpDef(tensorflow.TF_Graph graph, String op_name, tensorflow.TF_Buffer output_op_def, tensorflow.TF_Status status)
public static void TF_GraphVersions(tensorflow.TF_Graph graph, tensorflow.TF_Buffer output_version_def, tensorflow.TF_Status status)
public static tensorflow.TF_ImportGraphDefOptions TF_NewImportGraphDefOptions()
public static void TF_DeleteImportGraphDefOptions(tensorflow.TF_ImportGraphDefOptions opts)
public static void TF_ImportGraphDefOptionsSetPrefix(tensorflow.TF_ImportGraphDefOptions opts, @Cast(value="const char*") BytePointer prefix)
public static void TF_ImportGraphDefOptionsSetPrefix(tensorflow.TF_ImportGraphDefOptions opts, String prefix)
public static void TF_ImportGraphDefOptionsSetUniquifyNames(tensorflow.TF_ImportGraphDefOptions opts, @Cast(value="unsigned char") byte uniquify_names)
public static void TF_ImportGraphDefOptionsSetUniquifyPrefix(tensorflow.TF_ImportGraphDefOptions opts, @Cast(value="unsigned char") byte uniquify_prefix)
public static void TF_ImportGraphDefOptionsAddInputMapping(tensorflow.TF_ImportGraphDefOptions opts, @Cast(value="const char*") BytePointer src_name, int src_index, @ByVal tensorflow.TF_Output dst)
public static void TF_ImportGraphDefOptionsAddInputMapping(tensorflow.TF_ImportGraphDefOptions opts, String src_name, int src_index, @ByVal tensorflow.TF_Output dst)
public static void TF_ImportGraphDefOptionsRemapControlDependency(tensorflow.TF_ImportGraphDefOptions opts, @Cast(value="const char*") BytePointer src_name, tensorflow.TF_Operation dst)
public static void TF_ImportGraphDefOptionsRemapControlDependency(tensorflow.TF_ImportGraphDefOptions opts, String src_name, tensorflow.TF_Operation dst)
public static void TF_ImportGraphDefOptionsAddControlDependency(tensorflow.TF_ImportGraphDefOptions opts, tensorflow.TF_Operation oper)
public static void TF_ImportGraphDefOptionsAddReturnOutput(tensorflow.TF_ImportGraphDefOptions opts, @Cast(value="const char*") BytePointer oper_name, int index)
public static void TF_ImportGraphDefOptionsAddReturnOutput(tensorflow.TF_ImportGraphDefOptions opts, String oper_name, int index)
public static int TF_ImportGraphDefOptionsNumReturnOutputs(@Const tensorflow.TF_ImportGraphDefOptions opts)
public static void TF_ImportGraphDefOptionsAddReturnOperation(tensorflow.TF_ImportGraphDefOptions opts, @Cast(value="const char*") BytePointer oper_name)
public static void TF_ImportGraphDefOptionsAddReturnOperation(tensorflow.TF_ImportGraphDefOptions opts, String oper_name)
public static int TF_ImportGraphDefOptionsNumReturnOperations(@Const tensorflow.TF_ImportGraphDefOptions opts)
public static void TF_ImportGraphDefResultsReturnOutputs(tensorflow.TF_ImportGraphDefResults results, IntPointer num_outputs, @Cast(value="TF_Output**") PointerPointer outputs)
public static void TF_ImportGraphDefResultsReturnOutputs(tensorflow.TF_ImportGraphDefResults results, IntPointer num_outputs, @ByPtrPtr tensorflow.TF_Output outputs)
public static void TF_ImportGraphDefResultsReturnOutputs(tensorflow.TF_ImportGraphDefResults results, IntBuffer num_outputs, @ByPtrPtr tensorflow.TF_Output outputs)
public static void TF_ImportGraphDefResultsReturnOutputs(tensorflow.TF_ImportGraphDefResults results, int[] num_outputs, @ByPtrPtr tensorflow.TF_Output outputs)
public static void TF_ImportGraphDefResultsReturnOperations(tensorflow.TF_ImportGraphDefResults results, IntPointer num_opers, @Cast(value="TF_Operation***") @ByPtrPtr PointerPointer opers)
public static void TF_ImportGraphDefResultsReturnOperations(tensorflow.TF_ImportGraphDefResults results, IntBuffer num_opers, @Cast(value="TF_Operation***") @ByPtrPtr PointerPointer opers)
public static void TF_ImportGraphDefResultsReturnOperations(tensorflow.TF_ImportGraphDefResults results, int[] num_opers, @Cast(value="TF_Operation***") @ByPtrPtr PointerPointer opers)
public static void TF_ImportGraphDefResultsMissingUnusedInputMappings(tensorflow.TF_ImportGraphDefResults results, IntPointer num_missing_unused_input_mappings, @Cast(value="const char***") @ByPtrPtr PointerPointer src_names, @Cast(value="int**") PointerPointer src_indexes)
public static void TF_ImportGraphDefResultsMissingUnusedInputMappings(tensorflow.TF_ImportGraphDefResults results, IntPointer num_missing_unused_input_mappings, @Cast(value="const char***") @ByPtrPtr PointerPointer src_names, @ByPtrPtr IntPointer src_indexes)
public static void TF_ImportGraphDefResultsMissingUnusedInputMappings(tensorflow.TF_ImportGraphDefResults results, IntBuffer num_missing_unused_input_mappings, @Cast(value="const char***") @ByPtrPtr PointerPointer src_names, @ByPtrPtr IntBuffer src_indexes)
public static void TF_ImportGraphDefResultsMissingUnusedInputMappings(tensorflow.TF_ImportGraphDefResults results, int[] num_missing_unused_input_mappings, @Cast(value="const char***") @ByPtrPtr PointerPointer src_names, @ByPtrPtr int... src_indexes)
public static void TF_DeleteImportGraphDefResults(tensorflow.TF_ImportGraphDefResults results)
public static tensorflow.TF_ImportGraphDefResults TF_GraphImportGraphDefWithResults(tensorflow.TF_Graph graph, @Const tensorflow.TF_Buffer graph_def, @Const tensorflow.TF_ImportGraphDefOptions options, tensorflow.TF_Status status)
public static void TF_GraphImportGraphDefWithReturnOutputs(tensorflow.TF_Graph graph, @Const tensorflow.TF_Buffer graph_def, @Const tensorflow.TF_ImportGraphDefOptions options, tensorflow.TF_Output return_outputs, int num_return_outputs, tensorflow.TF_Status status)
public static void TF_GraphImportGraphDef(tensorflow.TF_Graph graph, @Const tensorflow.TF_Buffer graph_def, @Const tensorflow.TF_ImportGraphDefOptions options, tensorflow.TF_Status status)
public static void TF_GraphCopyFunction(tensorflow.TF_Graph g, @Const tensorflow.TF_Function func, @Const tensorflow.TF_Function grad, tensorflow.TF_Status status)
public static int TF_GraphNumFunctions(tensorflow.TF_Graph g)
public static int TF_GraphGetFunctions(tensorflow.TF_Graph g, @Cast(value="TF_Function**") PointerPointer funcs, int max_func, tensorflow.TF_Status status)
public static int TF_GraphGetFunctions(tensorflow.TF_Graph g, @ByPtrPtr tensorflow.TF_Function funcs, int max_func, tensorflow.TF_Status status)
public static void TF_OperationToNodeDef(tensorflow.TF_Operation oper, tensorflow.TF_Buffer output_node_def, tensorflow.TF_Status status)
@ByVal public static tensorflow.TF_WhileParams TF_NewWhile(tensorflow.TF_Graph g, tensorflow.TF_Output inputs, int ninputs, tensorflow.TF_Status status)
public static void TF_FinishWhile(@Const tensorflow.TF_WhileParams params, tensorflow.TF_Status status, tensorflow.TF_Output outputs)
public static void TF_AbortWhile(@Const tensorflow.TF_WhileParams params)
public static void TF_AddGradients(tensorflow.TF_Graph g, tensorflow.TF_Output y, int ny, tensorflow.TF_Output x, int nx, tensorflow.TF_Output dx, tensorflow.TF_Status status, tensorflow.TF_Output dy)
public static void TF_AddGradientsWithPrefix(tensorflow.TF_Graph g, @Cast(value="const char*") BytePointer prefix, tensorflow.TF_Output y, int ny, tensorflow.TF_Output x, int nx, tensorflow.TF_Output dx, tensorflow.TF_Status status, tensorflow.TF_Output dy)
public static void TF_AddGradientsWithPrefix(tensorflow.TF_Graph g, String prefix, tensorflow.TF_Output y, int ny, tensorflow.TF_Output x, int nx, tensorflow.TF_Output dx, tensorflow.TF_Status status, tensorflow.TF_Output dy)
public static tensorflow.TF_Function TF_GraphToFunction(@Const tensorflow.TF_Graph fn_body, @Cast(value="const char*") BytePointer fn_name, @Cast(value="unsigned char") byte append_hash_to_fn_name, int num_opers, @Cast(value="const TF_Operation*const*") PointerPointer opers, int ninputs, @Const tensorflow.TF_Output inputs, int noutputs, @Const tensorflow.TF_Output outputs, @Cast(value="const char*const*") PointerPointer output_names, @Const tensorflow.TF_FunctionOptions opts, @Cast(value="const char*") BytePointer description, tensorflow.TF_Status status)
public static tensorflow.TF_Function TF_GraphToFunction(@Const tensorflow.TF_Graph fn_body, @Cast(value="const char*") BytePointer fn_name, @Cast(value="unsigned char") byte append_hash_to_fn_name, int num_opers, @Const @ByPtrPtr tensorflow.TF_Operation opers, int ninputs, @Const tensorflow.TF_Output inputs, int noutputs, @Const tensorflow.TF_Output outputs, @Cast(value="const char*const*") @ByPtrPtr BytePointer output_names, @Const tensorflow.TF_FunctionOptions opts, @Cast(value="const char*") BytePointer description, tensorflow.TF_Status status)
public static tensorflow.TF_Function TF_GraphToFunction(@Const tensorflow.TF_Graph fn_body, String fn_name, @Cast(value="unsigned char") byte append_hash_to_fn_name, int num_opers, @Const @ByPtrPtr tensorflow.TF_Operation opers, int ninputs, @Const tensorflow.TF_Output inputs, int noutputs, @Const tensorflow.TF_Output outputs, @Cast(value="const char*const*") @ByPtrPtr ByteBuffer output_names, @Const tensorflow.TF_FunctionOptions opts, String description, tensorflow.TF_Status status)
public static tensorflow.TF_Function TF_GraphToFunction(@Const tensorflow.TF_Graph fn_body, @Cast(value="const char*") BytePointer fn_name, @Cast(value="unsigned char") byte append_hash_to_fn_name, int num_opers, @Const @ByPtrPtr tensorflow.TF_Operation opers, int ninputs, @Const tensorflow.TF_Output inputs, int noutputs, @Const tensorflow.TF_Output outputs, @Cast(value="const char*const*") @ByPtrPtr byte[] output_names, @Const tensorflow.TF_FunctionOptions opts, @Cast(value="const char*") BytePointer description, tensorflow.TF_Status status)
public static tensorflow.TF_Function TF_GraphToFunction(@Const tensorflow.TF_Graph fn_body, String fn_name, @Cast(value="unsigned char") byte append_hash_to_fn_name, int num_opers, @Const @ByPtrPtr tensorflow.TF_Operation opers, int ninputs, @Const tensorflow.TF_Output inputs, int noutputs, @Const tensorflow.TF_Output outputs, @Cast(value="const char*const*") @ByPtrPtr BytePointer output_names, @Const tensorflow.TF_FunctionOptions opts, String description, tensorflow.TF_Status status)
public static tensorflow.TF_Function TF_GraphToFunction(@Const tensorflow.TF_Graph fn_body, @Cast(value="const char*") BytePointer fn_name, @Cast(value="unsigned char") byte append_hash_to_fn_name, int num_opers, @Const @ByPtrPtr tensorflow.TF_Operation opers, int ninputs, @Const tensorflow.TF_Output inputs, int noutputs, @Const tensorflow.TF_Output outputs, @Cast(value="const char*const*") @ByPtrPtr ByteBuffer output_names, @Const tensorflow.TF_FunctionOptions opts, @Cast(value="const char*") BytePointer description, tensorflow.TF_Status status)
public static tensorflow.TF_Function TF_GraphToFunction(@Const tensorflow.TF_Graph fn_body, String fn_name, @Cast(value="unsigned char") byte append_hash_to_fn_name, int num_opers, @Const @ByPtrPtr tensorflow.TF_Operation opers, int ninputs, @Const tensorflow.TF_Output inputs, int noutputs, @Const tensorflow.TF_Output outputs, @Cast(value="const char*const*") @ByPtrPtr byte[] output_names, @Const tensorflow.TF_FunctionOptions opts, String description, tensorflow.TF_Status status)
@Cast(value="const char*") public static BytePointer TF_FunctionName(tensorflow.TF_Function func)
public static void TF_FunctionToFunctionDef(tensorflow.TF_Function func, tensorflow.TF_Buffer output_func_def, tensorflow.TF_Status status)
public static tensorflow.TF_Function TF_FunctionImportFunctionDef(@Const Pointer proto, @Cast(value="size_t") long proto_len, tensorflow.TF_Status status)
public static void TF_FunctionSetAttrValueProto(tensorflow.TF_Function func, @Cast(value="const char*") BytePointer attr_name, @Const Pointer proto, @Cast(value="size_t") long proto_len, tensorflow.TF_Status status)
public static void TF_FunctionSetAttrValueProto(tensorflow.TF_Function func, String attr_name, @Const Pointer proto, @Cast(value="size_t") long proto_len, tensorflow.TF_Status status)
public static void TF_FunctionGetAttrValueProto(tensorflow.TF_Function func, @Cast(value="const char*") BytePointer attr_name, tensorflow.TF_Buffer output_attr_value, tensorflow.TF_Status status)
public static void TF_FunctionGetAttrValueProto(tensorflow.TF_Function func, String attr_name, tensorflow.TF_Buffer output_attr_value, tensorflow.TF_Status status)
public static void TF_DeleteFunction(tensorflow.TF_Function func)
@Cast(value="unsigned char") public static byte TF_TryEvaluateConstant(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, @Cast(value="TF_Tensor**") PointerPointer result, tensorflow.TF_Status status)
@Cast(value="unsigned char") public static byte TF_TryEvaluateConstant(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, @ByPtrPtr tensorflow.TF_Tensor result, tensorflow.TF_Status status)
public static tensorflow.TF_Session TF_NewSession(tensorflow.TF_Graph graph, @Const tensorflow.TF_SessionOptions opts, tensorflow.TF_Status status)
@Platform(not="android") public static tensorflow.TF_Session TF_LoadSessionFromSavedModel(@Const tensorflow.TF_SessionOptions session_options, @Const tensorflow.TF_Buffer run_options, @Cast(value="const char*") BytePointer export_dir, @Cast(value="const char*const*") PointerPointer tags, int tags_len, tensorflow.TF_Graph graph, tensorflow.TF_Buffer meta_graph_def, tensorflow.TF_Status status)
@Platform(not="android") public static tensorflow.TF_Session TF_LoadSessionFromSavedModel(@Const tensorflow.TF_SessionOptions session_options, @Const tensorflow.TF_Buffer run_options, @Cast(value="const char*") BytePointer export_dir, @Cast(value="const char*const*") @ByPtrPtr BytePointer tags, int tags_len, tensorflow.TF_Graph graph, tensorflow.TF_Buffer meta_graph_def, tensorflow.TF_Status status)
@Platform(not="android") public static tensorflow.TF_Session TF_LoadSessionFromSavedModel(@Const tensorflow.TF_SessionOptions session_options, @Const tensorflow.TF_Buffer run_options, String export_dir, @Cast(value="const char*const*") @ByPtrPtr ByteBuffer tags, int tags_len, tensorflow.TF_Graph graph, tensorflow.TF_Buffer meta_graph_def, tensorflow.TF_Status status)
@Platform(not="android") public static tensorflow.TF_Session TF_LoadSessionFromSavedModel(@Const tensorflow.TF_SessionOptions session_options, @Const tensorflow.TF_Buffer run_options, @Cast(value="const char*") BytePointer export_dir, @Cast(value="const char*const*") @ByPtrPtr byte[] tags, int tags_len, tensorflow.TF_Graph graph, tensorflow.TF_Buffer meta_graph_def, tensorflow.TF_Status status)
@Platform(not="android") public static tensorflow.TF_Session TF_LoadSessionFromSavedModel(@Const tensorflow.TF_SessionOptions session_options, @Const tensorflow.TF_Buffer run_options, String export_dir, @Cast(value="const char*const*") @ByPtrPtr BytePointer tags, int tags_len, tensorflow.TF_Graph graph, tensorflow.TF_Buffer meta_graph_def, tensorflow.TF_Status status)
@Platform(not="android") public static tensorflow.TF_Session TF_LoadSessionFromSavedModel(@Const tensorflow.TF_SessionOptions session_options, @Const tensorflow.TF_Buffer run_options, @Cast(value="const char*") BytePointer export_dir, @Cast(value="const char*const*") @ByPtrPtr ByteBuffer tags, int tags_len, tensorflow.TF_Graph graph, tensorflow.TF_Buffer meta_graph_def, tensorflow.TF_Status status)
@Platform(not="android") public static tensorflow.TF_Session TF_LoadSessionFromSavedModel(@Const tensorflow.TF_SessionOptions session_options, @Const tensorflow.TF_Buffer run_options, String export_dir, @Cast(value="const char*const*") @ByPtrPtr byte[] tags, int tags_len, tensorflow.TF_Graph graph, tensorflow.TF_Buffer meta_graph_def, tensorflow.TF_Status status)
public static void TF_CloseSession(tensorflow.TF_Session arg0, tensorflow.TF_Status status)
public static void TF_DeleteSession(tensorflow.TF_Session arg0, tensorflow.TF_Status status)
public static void TF_SessionRun(tensorflow.TF_Session session, @Const tensorflow.TF_Buffer run_options, @Const tensorflow.TF_Output inputs, @Cast(value="TF_Tensor*const*") PointerPointer input_values, int ninputs, @Const tensorflow.TF_Output outputs, @Cast(value="TF_Tensor**") PointerPointer output_values, int noutputs, @Cast(value="const TF_Operation*const*") PointerPointer target_opers, int ntargets, tensorflow.TF_Buffer run_metadata, tensorflow.TF_Status arg11)
public static void TF_SessionRun(tensorflow.TF_Session session, @Const tensorflow.TF_Buffer run_options, @Const tensorflow.TF_Output inputs, @ByPtrPtr tensorflow.TF_Tensor input_values, int ninputs, @Const tensorflow.TF_Output outputs, @ByPtrPtr tensorflow.TF_Tensor output_values, int noutputs, @Const @ByPtrPtr tensorflow.TF_Operation target_opers, int ntargets, tensorflow.TF_Buffer run_metadata, tensorflow.TF_Status arg11)
public static void TF_SessionPRunSetup(tensorflow.TF_Session arg0, @Const tensorflow.TF_Output inputs, int ninputs, @Const tensorflow.TF_Output outputs, int noutputs, @Cast(value="const TF_Operation*const*") PointerPointer target_opers, int ntargets, @Cast(value="const char**") PointerPointer handle, tensorflow.TF_Status arg8)
public static void TF_SessionPRunSetup(tensorflow.TF_Session arg0, @Const tensorflow.TF_Output inputs, int ninputs, @Const tensorflow.TF_Output outputs, int noutputs, @Const @ByPtrPtr tensorflow.TF_Operation target_opers, int ntargets, @Cast(value="const char**") @ByPtrPtr BytePointer handle, tensorflow.TF_Status arg8)
public static void TF_SessionPRunSetup(tensorflow.TF_Session arg0, @Const tensorflow.TF_Output inputs, int ninputs, @Const tensorflow.TF_Output outputs, int noutputs, @Const @ByPtrPtr tensorflow.TF_Operation target_opers, int ntargets, @Cast(value="const char**") @ByPtrPtr ByteBuffer handle, tensorflow.TF_Status arg8)
public static void TF_SessionPRunSetup(tensorflow.TF_Session arg0, @Const tensorflow.TF_Output inputs, int ninputs, @Const tensorflow.TF_Output outputs, int noutputs, @Const @ByPtrPtr tensorflow.TF_Operation target_opers, int ntargets, @Cast(value="const char**") @ByPtrPtr byte[] handle, tensorflow.TF_Status arg8)
public static void TF_SessionPRun(tensorflow.TF_Session arg0, @Cast(value="const char*") BytePointer handle, @Const tensorflow.TF_Output inputs, @Cast(value="TF_Tensor*const*") PointerPointer input_values, int ninputs, @Const tensorflow.TF_Output outputs, @Cast(value="TF_Tensor**") PointerPointer output_values, int noutputs, @Cast(value="const TF_Operation*const*") PointerPointer target_opers, int ntargets, tensorflow.TF_Status arg10)
public static void TF_SessionPRun(tensorflow.TF_Session arg0, @Cast(value="const char*") BytePointer handle, @Const tensorflow.TF_Output inputs, @ByPtrPtr tensorflow.TF_Tensor input_values, int ninputs, @Const tensorflow.TF_Output outputs, @ByPtrPtr tensorflow.TF_Tensor output_values, int noutputs, @Const @ByPtrPtr tensorflow.TF_Operation target_opers, int ntargets, tensorflow.TF_Status arg10)
public static void TF_SessionPRun(tensorflow.TF_Session arg0, String handle, @Const tensorflow.TF_Output inputs, @ByPtrPtr tensorflow.TF_Tensor input_values, int ninputs, @Const tensorflow.TF_Output outputs, @ByPtrPtr tensorflow.TF_Tensor output_values, int noutputs, @Const @ByPtrPtr tensorflow.TF_Operation target_opers, int ntargets, tensorflow.TF_Status arg10)
public static void TF_DeletePRunHandle(@Cast(value="const char*") BytePointer handle)
public static void TF_DeletePRunHandle(String handle)
public static tensorflow.TF_DeprecatedSession TF_NewDeprecatedSession(@Const tensorflow.TF_SessionOptions arg0, tensorflow.TF_Status status)
public static void TF_CloseDeprecatedSession(tensorflow.TF_DeprecatedSession arg0, tensorflow.TF_Status status)
public static void TF_DeleteDeprecatedSession(tensorflow.TF_DeprecatedSession arg0, tensorflow.TF_Status status)
public static void TF_Reset(@Const tensorflow.TF_SessionOptions opt, @Cast(value="const char**") PointerPointer containers, int ncontainers, tensorflow.TF_Status status)
public static void TF_Reset(@Const tensorflow.TF_SessionOptions opt, @Cast(value="const char**") @ByPtrPtr BytePointer containers, int ncontainers, tensorflow.TF_Status status)
public static void TF_Reset(@Const tensorflow.TF_SessionOptions opt, @Cast(value="const char**") @ByPtrPtr ByteBuffer containers, int ncontainers, tensorflow.TF_Status status)
public static void TF_Reset(@Const tensorflow.TF_SessionOptions opt, @Cast(value="const char**") @ByPtrPtr byte[] containers, int ncontainers, tensorflow.TF_Status status)
public static void TF_ExtendGraph(tensorflow.TF_DeprecatedSession arg0, @Const Pointer proto, @Cast(value="size_t") long proto_len, tensorflow.TF_Status arg3)
public static void TF_Run(tensorflow.TF_DeprecatedSession arg0, @Const tensorflow.TF_Buffer run_options, @Cast(value="const char**") PointerPointer input_names, @Cast(value="TF_Tensor**") PointerPointer inputs, int ninputs, @Cast(value="const char**") PointerPointer output_names, @Cast(value="TF_Tensor**") PointerPointer outputs, int noutputs, @Cast(value="const char**") PointerPointer target_oper_names, int ntargets, tensorflow.TF_Buffer run_metadata, tensorflow.TF_Status arg11)
public static void TF_Run(tensorflow.TF_DeprecatedSession arg0, @Const tensorflow.TF_Buffer run_options, @Cast(value="const char**") @ByPtrPtr BytePointer input_names, @ByPtrPtr tensorflow.TF_Tensor inputs, int ninputs, @Cast(value="const char**") @ByPtrPtr BytePointer output_names, @ByPtrPtr tensorflow.TF_Tensor outputs, int noutputs, @Cast(value="const char**") @ByPtrPtr BytePointer target_oper_names, int ntargets, tensorflow.TF_Buffer run_metadata, tensorflow.TF_Status arg11)
public static void TF_Run(tensorflow.TF_DeprecatedSession arg0, @Const tensorflow.TF_Buffer run_options, @Cast(value="const char**") @ByPtrPtr ByteBuffer input_names, @ByPtrPtr tensorflow.TF_Tensor inputs, int ninputs, @Cast(value="const char**") @ByPtrPtr ByteBuffer output_names, @ByPtrPtr tensorflow.TF_Tensor outputs, int noutputs, @Cast(value="const char**") @ByPtrPtr ByteBuffer target_oper_names, int ntargets, tensorflow.TF_Buffer run_metadata, tensorflow.TF_Status arg11)
public static void TF_Run(tensorflow.TF_DeprecatedSession arg0, @Const tensorflow.TF_Buffer run_options, @Cast(value="const char**") @ByPtrPtr byte[] input_names, @ByPtrPtr tensorflow.TF_Tensor inputs, int ninputs, @Cast(value="const char**") @ByPtrPtr byte[] output_names, @ByPtrPtr tensorflow.TF_Tensor outputs, int noutputs, @Cast(value="const char**") @ByPtrPtr byte[] target_oper_names, int ntargets, tensorflow.TF_Buffer run_metadata, tensorflow.TF_Status arg11)
public static void TF_PRunSetup(tensorflow.TF_DeprecatedSession arg0, @Cast(value="const char**") PointerPointer input_names, int ninputs, @Cast(value="const char**") PointerPointer output_names, int noutputs, @Cast(value="const char**") PointerPointer target_oper_names, int ntargets, @Cast(value="const char**") PointerPointer handle, tensorflow.TF_Status arg8)
public static void TF_PRunSetup(tensorflow.TF_DeprecatedSession arg0, @Cast(value="const char**") @ByPtrPtr BytePointer input_names, int ninputs, @Cast(value="const char**") @ByPtrPtr BytePointer output_names, int noutputs, @Cast(value="const char**") @ByPtrPtr BytePointer target_oper_names, int ntargets, @Cast(value="const char**") @ByPtrPtr BytePointer handle, tensorflow.TF_Status arg8)
public static void TF_PRunSetup(tensorflow.TF_DeprecatedSession arg0, @Cast(value="const char**") @ByPtrPtr ByteBuffer input_names, int ninputs, @Cast(value="const char**") @ByPtrPtr ByteBuffer output_names, int noutputs, @Cast(value="const char**") @ByPtrPtr ByteBuffer target_oper_names, int ntargets, @Cast(value="const char**") @ByPtrPtr ByteBuffer handle, tensorflow.TF_Status arg8)
public static void TF_PRunSetup(tensorflow.TF_DeprecatedSession arg0, @Cast(value="const char**") @ByPtrPtr byte[] input_names, int ninputs, @Cast(value="const char**") @ByPtrPtr byte[] output_names, int noutputs, @Cast(value="const char**") @ByPtrPtr byte[] target_oper_names, int ntargets, @Cast(value="const char**") @ByPtrPtr byte[] handle, tensorflow.TF_Status arg8)
public static void TF_PRun(tensorflow.TF_DeprecatedSession arg0, @Cast(value="const char*") BytePointer handle, @Cast(value="const char**") PointerPointer input_names, @Cast(value="TF_Tensor**") PointerPointer inputs, int ninputs, @Cast(value="const char**") PointerPointer output_names, @Cast(value="TF_Tensor**") PointerPointer outputs, int noutputs, @Cast(value="const char**") PointerPointer target_oper_names, int ntargets, tensorflow.TF_Status arg10)
public static void TF_PRun(tensorflow.TF_DeprecatedSession arg0, @Cast(value="const char*") BytePointer handle, @Cast(value="const char**") @ByPtrPtr BytePointer input_names, @ByPtrPtr tensorflow.TF_Tensor inputs, int ninputs, @Cast(value="const char**") @ByPtrPtr BytePointer output_names, @ByPtrPtr tensorflow.TF_Tensor outputs, int noutputs, @Cast(value="const char**") @ByPtrPtr BytePointer target_oper_names, int ntargets, tensorflow.TF_Status arg10)
public static void TF_PRun(tensorflow.TF_DeprecatedSession arg0, String handle, @Cast(value="const char**") @ByPtrPtr ByteBuffer input_names, @ByPtrPtr tensorflow.TF_Tensor inputs, int ninputs, @Cast(value="const char**") @ByPtrPtr ByteBuffer output_names, @ByPtrPtr tensorflow.TF_Tensor outputs, int noutputs, @Cast(value="const char**") @ByPtrPtr ByteBuffer target_oper_names, int ntargets, tensorflow.TF_Status arg10)
public static void TF_PRun(tensorflow.TF_DeprecatedSession arg0, @Cast(value="const char*") BytePointer handle, @Cast(value="const char**") @ByPtrPtr byte[] input_names, @ByPtrPtr tensorflow.TF_Tensor inputs, int ninputs, @Cast(value="const char**") @ByPtrPtr byte[] output_names, @ByPtrPtr tensorflow.TF_Tensor outputs, int noutputs, @Cast(value="const char**") @ByPtrPtr byte[] target_oper_names, int ntargets, tensorflow.TF_Status arg10)
public static void TF_PRun(tensorflow.TF_DeprecatedSession arg0, String handle, @Cast(value="const char**") @ByPtrPtr BytePointer input_names, @ByPtrPtr tensorflow.TF_Tensor inputs, int ninputs, @Cast(value="const char**") @ByPtrPtr BytePointer output_names, @ByPtrPtr tensorflow.TF_Tensor outputs, int noutputs, @Cast(value="const char**") @ByPtrPtr BytePointer target_oper_names, int ntargets, tensorflow.TF_Status arg10)
public static void TF_PRun(tensorflow.TF_DeprecatedSession arg0, @Cast(value="const char*") BytePointer handle, @Cast(value="const char**") @ByPtrPtr ByteBuffer input_names, @ByPtrPtr tensorflow.TF_Tensor inputs, int ninputs, @Cast(value="const char**") @ByPtrPtr ByteBuffer output_names, @ByPtrPtr tensorflow.TF_Tensor outputs, int noutputs, @Cast(value="const char**") @ByPtrPtr ByteBuffer target_oper_names, int ntargets, tensorflow.TF_Status arg10)
public static void TF_PRun(tensorflow.TF_DeprecatedSession arg0, String handle, @Cast(value="const char**") @ByPtrPtr byte[] input_names, @ByPtrPtr tensorflow.TF_Tensor inputs, int ninputs, @Cast(value="const char**") @ByPtrPtr byte[] output_names, @ByPtrPtr tensorflow.TF_Tensor outputs, int noutputs, @Cast(value="const char**") @ByPtrPtr byte[] target_oper_names, int ntargets, tensorflow.TF_Status arg10)
public static tensorflow.TF_DeviceList TF_SessionListDevices(tensorflow.TF_Session session, tensorflow.TF_Status status)
public static tensorflow.TF_DeviceList TF_DeprecatedSessionListDevices(tensorflow.TF_DeprecatedSession session, tensorflow.TF_Status status)
public static void TF_DeleteDeviceList(tensorflow.TF_DeviceList list)
public static int TF_DeviceListCount(@Const tensorflow.TF_DeviceList list)
@Cast(value="const char*") public static BytePointer TF_DeviceListName(@Const tensorflow.TF_DeviceList list, int index, tensorflow.TF_Status status)
@Cast(value="const char*") public static BytePointer TF_DeviceListType(@Const tensorflow.TF_DeviceList list, int index, tensorflow.TF_Status status)
@Cast(value="int64_t") public static long TF_DeviceListMemoryBytes(@Const tensorflow.TF_DeviceList list, int index, tensorflow.TF_Status status)
@Cast(value="uint64_t") public static long TF_DeviceListIncarnation(@Const tensorflow.TF_DeviceList list, int index, tensorflow.TF_Status status)
public static tensorflow.TF_Library TF_LoadLibrary(@Cast(value="const char*") BytePointer library_filename, tensorflow.TF_Status status)
public static tensorflow.TF_Library TF_LoadLibrary(String library_filename, tensorflow.TF_Status status)
@ByVal public static tensorflow.TF_Buffer TF_GetOpList(tensorflow.TF_Library lib_handle)
public static void TF_DeleteLibraryHandle(tensorflow.TF_Library lib_handle)
public static tensorflow.TF_Buffer TF_GetAllOpList()
public static tensorflow.TF_ApiDefMap TF_NewApiDefMap(tensorflow.TF_Buffer op_list_buffer, tensorflow.TF_Status status)
public static void TF_DeleteApiDefMap(tensorflow.TF_ApiDefMap apimap)
public static void TF_ApiDefMapPut(tensorflow.TF_ApiDefMap api_def_map, @Cast(value="const char*") BytePointer text, @Cast(value="size_t") long text_len, tensorflow.TF_Status status)
public static void TF_ApiDefMapPut(tensorflow.TF_ApiDefMap api_def_map, String text, @Cast(value="size_t") long text_len, tensorflow.TF_Status status)
public static tensorflow.TF_Buffer TF_ApiDefMapGet(tensorflow.TF_ApiDefMap api_def_map, @Cast(value="const char*") BytePointer name, @Cast(value="size_t") long name_len, tensorflow.TF_Status status)
public static tensorflow.TF_Buffer TF_ApiDefMapGet(tensorflow.TF_ApiDefMap api_def_map, String name, @Cast(value="size_t") long name_len, tensorflow.TF_Status status)
public static tensorflow.TF_Buffer TF_GetAllRegisteredKernels(tensorflow.TF_Status status)
public static tensorflow.TF_Buffer TF_GetRegisteredKernelsForOp(@Cast(value="const char*") BytePointer name, tensorflow.TF_Status status)
public static tensorflow.TF_Buffer TF_GetRegisteredKernelsForOp(String name, tensorflow.TF_Status status)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status TF_TensorToTensor(@Const tensorflow.TF_Tensor src, tensorflow.Tensor dst)
@Namespace(value="tensorflow") public static tensorflow.TF_Tensor TF_TensorFromTensor(@Const @ByRef tensorflow.Tensor src, tensorflow.TF_Status status)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status MessageToBuffer(@Cast(value="const tensorflow::protobuf::Message*") @ByRef tensorflow.MessageLite in, tensorflow.TF_Buffer out)
@Namespace(value="tensorflow") public static void TF_GraphSetOutputHandleShapesAndTypes(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, int num_shapes_and_types, @Cast(value="const int64_t**") PointerPointer shapes, @Const IntPointer ranks, @Cast(value="const TF_DataType*") IntPointer types, tensorflow.TF_Status status)
@Namespace(value="tensorflow") public static void TF_GraphSetOutputHandleShapesAndTypes(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, int num_shapes_and_types, @Cast(value="const int64_t**") @ByPtrPtr LongPointer shapes, @Const IntPointer ranks, @Cast(value="const TF_DataType*") IntPointer types, tensorflow.TF_Status status)
@Namespace(value="tensorflow") public static void TF_GraphSetOutputHandleShapesAndTypes(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, int num_shapes_and_types, @Cast(value="const int64_t**") @ByPtrPtr LongBuffer shapes, @Const IntBuffer ranks, @Cast(value="const TF_DataType*") IntBuffer types, tensorflow.TF_Status status)
@Namespace(value="tensorflow") public static void TF_GraphSetOutputHandleShapesAndTypes(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, int num_shapes_and_types, @Cast(value="const int64_t**") @ByPtrPtr long[] shapes, @Const int[] ranks, @Cast(value="const TF_DataType*") int[] types, tensorflow.TF_Status status)
@Namespace(value="tensorflow") public static void RecordMutation(tensorflow.TF_Graph graph, @Const @ByRef tensorflow.TF_Operation op, @Cast(value="const char*") BytePointer mutation_type)
@Namespace(value="tensorflow") public static void RecordMutation(tensorflow.TF_Graph graph, @Const @ByRef tensorflow.TF_Operation op, String mutation_type)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean ExtendSessionGraphHelper(tensorflow.TF_Session session, tensorflow.TF_Status status)
@Namespace(value="tensorflow") public static void AddControlInput(tensorflow.TF_Graph graph, tensorflow.TF_Operation op, tensorflow.TF_Operation input)
@Namespace(value="tensorflow") public static void SetAttr(tensorflow.TF_Graph graph, tensorflow.TF_Operation op, @Cast(value="const char*") BytePointer attr_name, tensorflow.TF_Buffer attr_value_proto, tensorflow.TF_Status status)
@Namespace(value="tensorflow") public static void SetAttr(tensorflow.TF_Graph graph, tensorflow.TF_Operation op, String attr_name, tensorflow.TF_Buffer attr_value_proto, tensorflow.TF_Status status)
@Namespace(value="tensorflow") public static void SetRequestedDevice(tensorflow.TF_Graph graph, tensorflow.TF_Operation op, @Cast(value="const char*") BytePointer device)
@Namespace(value="tensorflow") public static void SetRequestedDevice(tensorflow.TF_Graph graph, tensorflow.TF_Operation op, String device)
@Namespace(value="tensorflow") public static void UpdateEdge(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output new_src, @ByVal tensorflow.TF_Input dst, tensorflow.TF_Status status)
@Namespace(value="tensorflow") public static void RemoveAllControlInputs(tensorflow.TF_Graph graph, tensorflow.TF_Operation op)
@Namespace(value="tensorflow") public static void SetRequireShapeInferenceFns(tensorflow.TF_Graph graph, @Cast(value="bool") boolean require)
@Namespace(value="tensorflow") public static void ExtendSession(tensorflow.TF_Session session, tensorflow.TF_Status status)
@Namespace(value="tensorflow") @StdString public static BytePointer GetHandleShapeAndType(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output)
@Namespace(value="tensorflow") public static void SetHandleShapeAndType(tensorflow.TF_Graph graph, @ByVal tensorflow.TF_Output output, @Const Pointer proto, @Cast(value="size_t") long proto_len, tensorflow.TF_Status status)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ValidateOpDef(@Const @ByRef tensorflow.OpDef op_def)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status CheckOpDeprecation(@Const @ByRef tensorflow.OpDef op_def, int graph_def_version)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ValidateAttrValue(@Const @ByRef tensorflow.AttrValue attr_value, @Cast(value="const tensorflow::OpDef::AttrDef*") @ByRef tensorflow.OpDef_AttrDef attr)
@Namespace(value="tensorflow") @Cast(value="const tensorflow::OpDef::AttrDef*") public static tensorflow.OpDef_AttrDef FindAttr(@tensorflow.StringPiece BytePointer name, @Const @ByRef tensorflow.OpDef op_def)
@Namespace(value="tensorflow") @Cast(value="const tensorflow::OpDef::AttrDef*") public static tensorflow.OpDef_AttrDef FindAttr(@tensorflow.StringPiece String name, @Const @ByRef tensorflow.OpDef op_def)
@Namespace(value="tensorflow") @Cast(value="tensorflow::OpDef::AttrDef*") public static tensorflow.OpDef_AttrDef FindAttrMutable(@tensorflow.StringPiece BytePointer name, tensorflow.OpDef op_def)
@Namespace(value="tensorflow") @Cast(value="tensorflow::OpDef::AttrDef*") public static tensorflow.OpDef_AttrDef FindAttrMutable(@tensorflow.StringPiece String name, tensorflow.OpDef op_def)
@Namespace(value="tensorflow") @Cast(value="const tensorflow::OpDef::ArgDef*") public static tensorflow.OpDef_ArgDef FindInputArg(@tensorflow.StringPiece BytePointer name, @Const @ByRef tensorflow.OpDef op_def)
@Namespace(value="tensorflow") @Cast(value="const tensorflow::OpDef::ArgDef*") public static tensorflow.OpDef_ArgDef FindInputArg(@tensorflow.StringPiece String name, @Const @ByRef tensorflow.OpDef op_def)
@Namespace(value="tensorflow") @Cast(value="const tensorflow::ApiDef::Arg*") public static tensorflow.ApiDef_Arg FindInputArg(@tensorflow.StringPiece BytePointer name, @Const @ByRef tensorflow.ApiDef api_def)
@Namespace(value="tensorflow") @Cast(value="const tensorflow::ApiDef::Arg*") public static tensorflow.ApiDef_Arg FindInputArg(@tensorflow.StringPiece String name, @Const @ByRef tensorflow.ApiDef api_def)
@Namespace(value="tensorflow") @StdString public static BytePointer SummarizeOpDef(@Const @ByRef tensorflow.OpDef op_def)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status OpDefCompatible(@Const @ByRef tensorflow.OpDef old_op, @Const @ByRef tensorflow.OpDef new_op)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status OpDefAddedDefaultsUnchanged(@Const @ByRef tensorflow.OpDef old_op, @Const @ByRef tensorflow.OpDef penultimate_op, @Const @ByRef tensorflow.OpDef new_op)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status OpDefAttrDefaultsUnchanged(@Const @ByRef tensorflow.OpDef old_op, @Const @ByRef tensorflow.OpDef new_op)
@Namespace(value="tensorflow") public static void RemoveDescriptionsFromOpDef(tensorflow.OpDef op_def)
@Namespace(value="tensorflow") public static void RemoveDescriptionsFromOpList(tensorflow.OpList op_list)
@Namespace(value="tensorflow") public static void RemoveNonDeprecationDescriptionsFromOpDef(tensorflow.OpDef op_def)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean AttrDefEqual(@Cast(value="const tensorflow::OpDef::AttrDef*") @ByRef tensorflow.OpDef_AttrDef a1, @Cast(value="const tensorflow::OpDef::AttrDef*") @ByRef tensorflow.OpDef_AttrDef a2)
@Namespace(value="tensorflow") @Cast(value="tensorflow::uint64") public static long AttrDefHash(@Cast(value="const tensorflow::OpDef::AttrDef*") @ByRef tensorflow.OpDef_AttrDef a)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean OpDefEqual(@Const @ByRef tensorflow.OpDef o1, @Const @ByRef tensorflow.OpDef o2)
@Namespace(value="tensorflow") @Cast(value="tensorflow::uint64") public static long OpDefHash(@Const @ByRef tensorflow.OpDef o)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status InstantiateFunction(@Const @ByRef tensorflow.FunctionDef fdef, @ByVal tensorflow.AttrSlice attr_values, @ByVal @Cast(value="tensorflow::GetFunctionSignature*") Pointer get_function, tensorflow.InstantiationResult result)
@Namespace(value="tensorflow") @StdString public static BytePointer DebugString(@Const @ByRef tensorflow.FunctionDef func_def)
@Namespace(value="tensorflow") @StdString public static BytePointer DebugString(@Const @ByRef tensorflow.GraphDef instantiated_func_def)
@Namespace(value="tensorflow") @StdString public static BytePointer DebugString(@tensorflow.ArraySlice tensorflow.NodeDef instantiated_func_nodes)
@Namespace(value="tensorflow") @StdString public static BytePointer DebugStringWhole(@Const @ByRef tensorflow.GraphDef gdef)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean FunctionDefsEqual(@Const @ByRef tensorflow.FunctionDef f1, @Const @ByRef tensorflow.FunctionDef f2)
@Namespace(value="tensorflow") @Cast(value="tensorflow::uint64") public static long FunctionDefHash(@Const @ByRef tensorflow.FunctionDef fdef)
@Namespace(value="tensorflow") @StdString public static BytePointer Canonicalize(@StdString BytePointer funcname, @ByVal tensorflow.AttrSlice attrs, @Const @ByRef tensorflow.FunctionLibraryRuntime.InstantiateOptions options)
@Namespace(value="tensorflow") @StdString public static String Canonicalize(@StdString String funcname, @ByVal tensorflow.AttrSlice attrs, @Const @ByRef tensorflow.FunctionLibraryRuntime.InstantiateOptions options)
@Namespace(value="tensorflow") @StdString public static BytePointer Canonicalize(@StdString BytePointer funcname, @ByVal tensorflow.AttrSlice attrs)
@Namespace(value="tensorflow") @StdString public static String Canonicalize(@StdString String funcname, @ByVal tensorflow.AttrSlice attrs)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::FunctionLibraryRuntime::Handle") public static long kInvalidHandle()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::FunctionLibraryRuntime::LocalHandle") public static long kInvalidLocalHandle()
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ArgNumType(@ByVal tensorflow.AttrSlice attrs, @Cast(value="const tensorflow::OpDef::ArgDef*") @ByRef tensorflow.OpDef_ArgDef arg_def, @Cast(value="bool*") BoolPointer is_type_list, tensorflow.DataTypeVector dtypes)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ArgNumType(@ByVal tensorflow.AttrSlice attrs, @Cast(value="const tensorflow::OpDef::ArgDef*") @ByRef tensorflow.OpDef_ArgDef arg_def, @Cast(value="bool*") boolean[] is_type_list, tensorflow.DataTypeVector dtypes)
@Namespace(value="tensorflow::gradient") @Cast(value="bool") public static boolean RegisterOp(@StdString BytePointer op, @ByVal @Cast(value="tensorflow::gradient::Creator*") Pointer func)
@Namespace(value="tensorflow::gradient") @Cast(value="bool") public static boolean RegisterOp(@StdString String op, @ByVal @Cast(value="tensorflow::gradient::Creator*") Pointer func)
@Namespace(value="tensorflow::gradient") @ByVal public static tensorflow.Status GetOpGradientCreator(@StdString BytePointer op, @Cast(value="tensorflow::gradient::Creator*") Pointer creator)
@Namespace(value="tensorflow::gradient") @ByVal public static tensorflow.Status GetOpGradientCreator(@StdString String op, @Cast(value="tensorflow::gradient::Creator*") Pointer creator)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsSource(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsSink(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsSwitch(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsMerge(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsEnter(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsExit(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsNextIteration(@Const tensorflow.Node n)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsLoopCond(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsControlTrigger(@Const tensorflow.Node n)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsSend(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsRecv(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsHostSend(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsHostRecv(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsTransferNode(@Const tensorflow.Node n)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsConstant(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsVariable(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsIdentity(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsControlFlow(@Const tensorflow.Node n)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsMetadata(@Const tensorflow.Node n)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsScopedAllocator(@Const tensorflow.Node n)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean IsHostMemoryPreserving(@Const tensorflow.Node node)
@Namespace(value="tensorflow") @ByVal public static tensorflow.TensorId ParseTensorName(@StdString BytePointer name)
@Namespace(value="tensorflow") @ByVal public static tensorflow.TensorId ParseTensorName(@StdString String name)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kColocationAttrName()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kColocationGroupPrefix()
@Namespace(value="tensorflow") @StdString public static BytePointer SummarizeNode(@Const @ByRef tensorflow.Node node)
@Namespace(value="tensorflow") @StdString public static BytePointer SummarizeNodeDef(@Const @ByRef tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") @StdString public static BytePointer FormatNodeForError(@Const @ByRef tensorflow.Node node)
@Namespace(value="tensorflow") @StdString public static BytePointer FormatNodeDefForError(@Const @ByRef tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Const @ByRef tensorflow.AttrValue value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Const @ByRef tensorflow.AttrValue value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @tensorflow.StringPiece BytePointer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @tensorflow.StringPiece String value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, int value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, int value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Cast(value="tensorflow::int64") long value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Cast(value="tensorflow::int64") long value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, float value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, float value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, double value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, double value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Cast(value="bool") boolean value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Cast(value="bool") boolean value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Const @ByRef tensorflow.PartialTensorShape value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Const @ByRef tensorflow.PartialTensorShape value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Const @ByRef tensorflow.Tensor value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Const @ByRef tensorflow.Tensor value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Const @ByRef tensorflow.TensorProto value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Const @ByRef tensorflow.TensorProto value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Const @ByRef tensorflow.NameAttrList value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Const @ByRef tensorflow.NameAttrList value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @ByVal @Cast(value="tensorflow::gtl::ArraySlice<tensorflow::StringPiece>*") tensorflow.StringPieceVector value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @ByVal @Cast(value="tensorflow::gtl::ArraySlice<tensorflow::StringPiece>*") tensorflow.StringPieceVector value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Cast(value="const char**") @tensorflow.ArraySlice PointerPointer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Cast(value="const char**") @tensorflow.ArraySlice @ByPtrPtr ByteBuffer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Cast(value="const char**") @tensorflow.ArraySlice @ByPtrPtr byte[] value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Cast(value="const char**") @tensorflow.ArraySlice @ByPtrPtr BytePointer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Cast(value="const char**") @tensorflow.ArraySlice @ByPtrPtr ByteBuffer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Cast(value="const char**") @tensorflow.ArraySlice @ByPtrPtr byte[] value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @ByVal @Cast(value="tensorflow::gtl::ArraySlice<tensorflow::string>*") tensorflow.StringVector value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @ByVal @Cast(value="tensorflow::gtl::ArraySlice<tensorflow::string>*") tensorflow.StringVector value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @tensorflow.ArraySlice IntPointer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @tensorflow.ArraySlice IntBuffer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @tensorflow.ArraySlice int[] value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @tensorflow.ArraySlice IntPointer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @tensorflow.ArraySlice IntBuffer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @tensorflow.ArraySlice int[] value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Cast(value="tensorflow::int64*") @tensorflow.ArraySlice LongPointer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Cast(value="tensorflow::int64*") @tensorflow.ArraySlice LongBuffer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Cast(value="tensorflow::int64*") @tensorflow.ArraySlice long[] value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Cast(value="tensorflow::int64*") @tensorflow.ArraySlice LongPointer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Cast(value="tensorflow::int64*") @tensorflow.ArraySlice LongBuffer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Cast(value="tensorflow::int64*") @tensorflow.ArraySlice long[] value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @tensorflow.ArraySlice FloatPointer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @tensorflow.ArraySlice FloatBuffer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @tensorflow.ArraySlice float[] value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @tensorflow.ArraySlice FloatPointer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @tensorflow.ArraySlice FloatBuffer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @tensorflow.ArraySlice float[] value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @Cast(value="bool*") @tensorflow.ArraySlice BoolPointer value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @Cast(value="bool*") @tensorflow.ArraySlice boolean[] value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @ByVal @Cast(value="tensorflow::gtl::ArraySlice<tensorflow::TensorShape>*") tensorflow.TensorShapeVector value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @ByVal @Cast(value="tensorflow::gtl::ArraySlice<tensorflow::TensorShape>*") tensorflow.TensorShapeVector value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @tensorflow.ArraySlice tensorflow.TensorShapeProto value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @tensorflow.ArraySlice tensorflow.TensorShapeProto value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece BytePointer name, @ByVal tensorflow.TensorVector value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddNodeAttr(@tensorflow.StringPiece String name, @ByVal tensorflow.TensorVector value, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") public static void AddAttr(@tensorflow.StringPiece BytePointer name, @Const @ByRef tensorflow.AttrValue value, @Cast(value="tensorflow::AttrValueMap*") tensorflow.StringAttrValueMap map)
@Namespace(value="tensorflow") public static void AddAttr(@tensorflow.StringPiece String name, @Const @ByRef tensorflow.AttrValue value, @Cast(value="tensorflow::AttrValueMap*") tensorflow.StringAttrValueMap map)
@Namespace(value="tensorflow") public static void AddAttr(@tensorflow.StringPiece BytePointer name, @Cast(value="bool") boolean value, @Cast(value="tensorflow::AttrValueMap*") tensorflow.StringAttrValueMap map)
@Namespace(value="tensorflow") public static void AddAttr(@tensorflow.StringPiece String name, @Cast(value="bool") boolean value, @Cast(value="tensorflow::AttrValueMap*") tensorflow.StringAttrValueMap map)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean HasNodeAttr(@Const @ByRef tensorflow.NodeDef node_def, @tensorflow.StringPiece BytePointer attr_name)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean HasNodeAttr(@Const @ByRef tensorflow.NodeDef node_def, @tensorflow.StringPiece String attr_name)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, @StdString @Cast(value={"char*","std::string*"}) BytePointer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, @StdString @Cast(value={"char*","std::string*"}) BytePointer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, @Cast(value="tensorflow::int64*") LongPointer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, @Cast(value="tensorflow::int64*") LongBuffer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, @Cast(value="tensorflow::int64*") long... value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, @Cast(value="tensorflow::int64*") LongPointer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, @Cast(value="tensorflow::int64*") LongBuffer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, @Cast(value="tensorflow::int64*") long... value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, IntPointer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, IntBuffer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, int... value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, IntPointer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, IntBuffer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, int... value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, FloatPointer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, FloatBuffer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, float... value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, FloatPointer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, FloatBuffer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, float... value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, @Cast(value="bool*") BoolPointer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, @Cast(value="bool*") boolean... value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, tensorflow.TensorShapeProto value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, tensorflow.TensorShapeProto value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, tensorflow.TensorShape value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, tensorflow.TensorShape value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, tensorflow.PartialTensorShape value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, tensorflow.PartialTensorShape value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, tensorflow.Tensor value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, tensorflow.Tensor value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, tensorflow.StringVector value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, tensorflow.StringVector value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, tensorflow.DataTypeVector value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, tensorflow.DataTypeVector value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, tensorflow.TensorShapeVector value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, tensorflow.TensorShapeVector value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, tensorflow.TensorVector value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, tensorflow.TensorVector value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, @Cast(value="const tensorflow::TensorProto**") PointerPointer value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, @Const @ByPtrPtr tensorflow.TensorProto value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, @Const @ByPtrPtr tensorflow.TensorProto value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, @Const @ByPtrPtr tensorflow.NameAttrList value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status GetNodeAttr(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, @Const @ByPtrPtr tensorflow.NameAttrList value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean GetNodeAttrSimple(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, @StdString @Cast(value={"char*","std::string*"}) BytePointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean GetNodeAttrSimple(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, @StdString @Cast(value={"char*","std::string*"}) BytePointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean GetNodeAttrSimple(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name, tensorflow.StringVector value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean GetNodeAttrSimple(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name, tensorflow.StringVector value)
@Namespace(value="tensorflow") @StdString public static BytePointer GetNodeAttrString(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece BytePointer attr_name)
@Namespace(value="tensorflow") @StdString public static String GetNodeAttrString(@Const @ByRef tensorflow.AttrSlice attrs, @tensorflow.StringPiece String attr_name)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status InputTypeForNode(@Const @ByRef tensorflow.NodeDef node_def, @Const @ByRef tensorflow.OpDef op_def, int input_port, @Cast(value="tensorflow::DataType*") IntPointer input_type)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status InputTypesForNode(@Const @ByRef tensorflow.NodeDef node_def, @Const @ByRef tensorflow.OpDef op_def, tensorflow.DataTypeVector inputs)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status OutputTypeForNode(@Const @ByRef tensorflow.NodeDef node_def, @Const @ByRef tensorflow.OpDef op_def, int output_port, @Cast(value="tensorflow::DataType*") IntPointer output_type)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status OutputTypesForNode(@Const @ByRef tensorflow.NodeDef node_def, @Const @ByRef tensorflow.OpDef op_def, tensorflow.DataTypeVector outputs)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status InOutTypesForNode(@Const @ByRef tensorflow.NodeDef node_def, @Const @ByRef tensorflow.OpDef op_def, tensorflow.DataTypeVector inputs, tensorflow.DataTypeVector outputs)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status NumOutputsForNode(@Const @ByRef tensorflow.NodeDef node_def, @Const @ByRef tensorflow.OpDef op_def, IntPointer num_outputs)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status NumOutputsForNode(@Const @ByRef tensorflow.NodeDef node_def, @Const @ByRef tensorflow.OpDef op_def, IntBuffer num_outputs)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status NumOutputsForNode(@Const @ByRef tensorflow.NodeDef node_def, @Const @ByRef tensorflow.OpDef op_def, int... num_outputs)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ValidateNodeDef(@Const @ByRef tensorflow.NodeDef node_def, @Const @ByRef tensorflow.OpDef op_def)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status NameRangesForNode(@Const @ByRef tensorflow.NodeDef node_def, @Const @ByRef tensorflow.OpDef op_def, tensorflow.NameRangeMap inputs, tensorflow.NameRangeMap outputs)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status NameRangesForNode(@Const @ByRef tensorflow.Node node, @Const @ByRef tensorflow.OpDef op_def, tensorflow.NameRangeMap inputs, tensorflow.NameRangeMap outputs)
@Namespace(value="tensorflow") public static void AddDefaultsToNodeDef(@Const @ByRef tensorflow.OpDef op_def, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ValidateExternalNodeDefSyntax(@Const @ByRef tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status AttachDef(@Const @ByRef tensorflow.Status status, @Const @ByRef tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status AttachDef(@Const @ByRef tensorflow.Status status, @Const @ByRef tensorflow.Node node)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status AddPrefixAndSuffixToNode(@tensorflow.StringPiece BytePointer prefix, @tensorflow.StringPiece BytePointer suffix, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status AddPrefixAndSuffixToNode(@tensorflow.StringPiece String prefix, @tensorflow.StringPiece String suffix, tensorflow.NodeDef node_def)
@Namespace(value="tensorflow::ops") public static tensorflow.Node SourceOp(@StdString BytePointer op_name, @Const @ByRef tensorflow.GraphDefBuilder.Options opts)
@Namespace(value="tensorflow::ops") public static tensorflow.Node SourceOp(@StdString String op_name, @Const @ByRef tensorflow.GraphDefBuilder.Options opts)
@Namespace(value="tensorflow::ops") public static tensorflow.Node UnaryOp(@StdString BytePointer op_name, @ByVal tensorflow.NodeBuilder.NodeOut input, @Const @ByRef tensorflow.GraphDefBuilder.Options opts)
@Namespace(value="tensorflow::ops") public static tensorflow.Node UnaryOp(@StdString String op_name, tensorflow.Node input, @Const @ByRef tensorflow.GraphDefBuilder.Options opts)
@Namespace(value="tensorflow::ops") public static tensorflow.Node BinaryOp(@StdString BytePointer op_name, @ByVal tensorflow.NodeBuilder.NodeOut a, @ByVal tensorflow.NodeBuilder.NodeOut b, @Const @ByRef tensorflow.GraphDefBuilder.Options opts)
@Namespace(value="tensorflow::ops") public static tensorflow.Node BinaryOp(@StdString String op_name, tensorflow.Node a, tensorflow.Node b, @Const @ByRef tensorflow.GraphDefBuilder.Options opts)
@Namespace(value="tensorflow::graph") public static void SetDefaultDevice(@StdString BytePointer device, tensorflow.GraphDef graph_def)
@Namespace(value="tensorflow::graph") public static void SetDefaultDevice(@StdString String device, tensorflow.GraphDef graph_def)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ConvertGraphDefToGraph(@Const @ByRef tensorflow.GraphConstructorOptions opts, @Const @ByRef tensorflow.GraphDef gdef, tensorflow.Graph g)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ConvertNodeDefsToGraph(@Const @ByRef tensorflow.GraphConstructorOptions opts, @tensorflow.ArraySlice tensorflow.NodeDef nodes, tensorflow.Graph g)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ImportGraphDef(@Const @ByRef tensorflow.ImportGraphDefOptions opts, @Const @ByRef tensorflow.GraphDef gdef, tensorflow.Graph g, tensorflow.ShapeRefiner refiner, tensorflow.ImportGraphDefResults results)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status ImportGraphDef(@Const @ByRef tensorflow.ImportGraphDefOptions opts, @Const @ByRef tensorflow.GraphDef gdef, tensorflow.Graph g, tensorflow.ShapeRefiner refiner)
@Namespace(value="tensorflow") public static void CopyGraph(@Const @ByRef tensorflow.Graph src, tensorflow.Graph dest)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status AddSymbolicGradients(@tensorflow.ArraySlice tensorflow.NodeOut y_node_outputs, @tensorflow.ArraySlice tensorflow.NodeOut x_node_outputs, @tensorflow.ArraySlice tensorflow.NodeOut y_grad_node_outputs, @StdVector tensorflow.NodeOut x_grad_node_outputs, tensorflow.Graph graph)
@Namespace(value="tensorflow") @StdString public static BytePointer Spaces(int n)
@Namespace(value="tensorflow") @StdString public static BytePointer WordWrap(@tensorflow.StringPiece BytePointer prefix, @tensorflow.StringPiece BytePointer str, int width)
@Namespace(value="tensorflow") @StdString public static String WordWrap(@tensorflow.StringPiece String prefix, @tensorflow.StringPiece String str, int width)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean ConsumeEquals(@tensorflow.StringPiece @Cast(value={"char*","StringPiece*"}) BytePointer description)
@Namespace(value="tensorflow") @StdString public static BytePointer PBTxtToMultiline(@tensorflow.StringPiece BytePointer pbtxt, @Const @ByRef tensorflow.StringVector multi_line_fields)
@Namespace(value="tensorflow") @StdString public static String PBTxtToMultiline(@tensorflow.StringPiece String pbtxt, @Const @ByRef tensorflow.StringVector multi_line_fields)
@Namespace(value="tensorflow") @StdString public static BytePointer PBTxtFromMultiline(@tensorflow.StringPiece BytePointer multiline_pbtxt)
@Namespace(value="tensorflow") @StdString public static String PBTxtFromMultiline(@tensorflow.StringPiece String multiline_pbtxt)
@Namespace(value="tensorflow") public static void WriteCCOps(@Const @ByRef tensorflow.OpList ops, @Const @ByRef tensorflow.ApiDefMap api_def_map, @StdString BytePointer dot_h_fname, @StdString BytePointer dot_cc_fname)
@Namespace(value="tensorflow") public static void WriteCCOps(@Const @ByRef tensorflow.OpList ops, @Const @ByRef tensorflow.ApiDefMap api_def_map, @StdString String dot_h_fname, @StdString String dot_cc_fname)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status AddSymbolicGradients(@Const @ByRef tensorflow.Scope scope, @Const @ByRef tensorflow.OutputVector outputs, @Const @ByRef tensorflow.OutputVector inputs, @Const @ByRef tensorflow.OutputVector grad_inputs, tensorflow.OutputVector grad_outputs)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status AddSymbolicGradients(@Const @ByRef tensorflow.Scope scope, @Const @ByRef tensorflow.OutputVector outputs, @Const @ByRef tensorflow.OutputVector inputs, tensorflow.OutputVector grad_outputs)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Output NoGradient()
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean SaverDef_CheckpointFormatVersion_IsValid(int value)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::SaverDef_CheckpointFormatVersion") public static int SaverDef_CheckpointFormatVersion_CheckpointFormatVersion_MIN()
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const tensorflow::SaverDef_CheckpointFormatVersion") public static int SaverDef_CheckpointFormatVersion_CheckpointFormatVersion_MAX()
@Namespace(value="tensorflow") @MemberGetter public static int SaverDef_CheckpointFormatVersion_CheckpointFormatVersion_ARRAYSIZE()
@Namespace(value="tensorflow") @Cast(value="const google::protobuf::EnumDescriptor*") public static Pointer SaverDef_CheckpointFormatVersion_descriptor()
@Namespace(value="tensorflow") @StdString public static BytePointer SaverDef_CheckpointFormatVersion_Name(@Cast(value="tensorflow::SaverDef_CheckpointFormatVersion") int value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean SaverDef_CheckpointFormatVersion_Parse(@StdString BytePointer name, @Cast(value="tensorflow::SaverDef_CheckpointFormatVersion*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean SaverDef_CheckpointFormatVersion_Parse(@StdString String name, @Cast(value="tensorflow::SaverDef_CheckpointFormatVersion*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean SaverDef_CheckpointFormatVersion_Parse(@StdString BytePointer name, @Cast(value="tensorflow::SaverDef_CheckpointFormatVersion*") int... value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean SaverDef_CheckpointFormatVersion_Parse(@StdString String name, @Cast(value="tensorflow::SaverDef_CheckpointFormatVersion*") IntPointer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean SaverDef_CheckpointFormatVersion_Parse(@StdString BytePointer name, @Cast(value="tensorflow::SaverDef_CheckpointFormatVersion*") IntBuffer value)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean SaverDef_CheckpointFormatVersion_Parse(@StdString String name, @Cast(value="tensorflow::SaverDef_CheckpointFormatVersion*") int... value)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status LoadSavedModel(@Const @ByRef tensorflow.SessionOptions session_options, @Const @ByRef tensorflow.RunOptions run_options, @StdString BytePointer export_dir, @Const @ByRef tensorflow.StringUnorderedSet tags, tensorflow.SavedModelBundle bundle)
@Namespace(value="tensorflow") @ByVal public static tensorflow.Status LoadSavedModel(@Const @ByRef tensorflow.SessionOptions session_options, @Const @ByRef tensorflow.RunOptions run_options, @StdString String export_dir, @Const @ByRef tensorflow.StringUnorderedSet tags, tensorflow.SavedModelBundle bundle)
@Namespace(value="tensorflow") @Cast(value="bool") public static boolean MaybeSavedModelDirectory(@StdString BytePointer export_dir)
false,
the export directory definitely does not contain a SavedModel. If the method
returns true, the export directory may contain a SavedModel but provides
no guarantee that it can be loaded.@Namespace(value="tensorflow") @Cast(value="bool") public static boolean MaybeSavedModelDirectory(@StdString String export_dir)
@Namespace(value="tensorflow") @MemberGetter public static byte kSavedModelTagGpu(int i)
gpu graph.@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kSavedModelTagGpu()
@Namespace(value="tensorflow") @MemberGetter public static byte kSavedModelTagTpu(int i)
tpu graph.@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kSavedModelTagTpu()
@Namespace(value="tensorflow") @MemberGetter public static byte kSavedModelTagServe(int i)
serving graph.@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kSavedModelTagServe()
@Namespace(value="tensorflow") @MemberGetter public static byte kSavedModelTagTrain(int i)
training graph.@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kSavedModelTagTrain()
@Namespace(value="tensorflow") @MemberGetter public static byte kDefaultServingSignatureDefKey(int i)
default serving signatures. The default
signature is used in inference requests where a specific signature was not
specified.@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kDefaultServingSignatureDefKey()
@Namespace(value="tensorflow") @MemberGetter public static byte kClassifyInputs(int i)
Classification inputs.
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kClassifyInputs()
@Namespace(value="tensorflow") @MemberGetter public static byte kClassifyMethodName(int i)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kClassifyMethodName()
@Namespace(value="tensorflow") @MemberGetter public static byte kClassifyOutputClasses(int i)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kClassifyOutputClasses()
@Namespace(value="tensorflow") @MemberGetter public static byte kClassifyOutputScores(int i)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kClassifyOutputScores()
@Namespace(value="tensorflow") @MemberGetter public static byte kPredictInputs(int i)
Predict inputs.
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kPredictInputs()
@Namespace(value="tensorflow") @MemberGetter public static byte kPredictMethodName(int i)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kPredictMethodName()
@Namespace(value="tensorflow") @MemberGetter public static byte kPredictOutputs(int i)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kPredictOutputs()
@Namespace(value="tensorflow") @MemberGetter public static byte kRegressInputs(int i)
Regression inputs.
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kRegressInputs()
@Namespace(value="tensorflow") @MemberGetter public static byte kRegressMethodName(int i)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kRegressMethodName()
@Namespace(value="tensorflow") @MemberGetter public static byte kRegressOutputs(int i)
@Namespace(value="tensorflow") @MemberGetter @Cast(value="const char*") public static BytePointer kRegressOutputs()
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, @Const @ByRef tensorflow.Input.Initializer val)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, @ByRef tensorflow.Tensor val)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, byte val)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, short val)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, int val)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, long val)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, float val)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, double val)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, boolean val)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, @StdString String val)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, @StdString BytePointer val)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output ConstFromProto(@Const @ByRef tensorflow.Scope scope, @Const @ByRef tensorflow.TensorProto proto)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.NodeBuilder.NodeOut AsNodeOut(@Const @ByRef tensorflow.Scope scope, @Const @ByRef tensorflow.Input inp)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, @Cast(value="const unsigned char") byte v, @Const @ByVal tensorflow.TensorShape shape)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, short v, @Const @ByVal tensorflow.TensorShape shape)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, int v, @Const @ByVal tensorflow.TensorShape shape)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, @Cast(value="const long long") long v, @Const @ByVal tensorflow.TensorShape shape)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, float v, @Const @ByVal tensorflow.TensorShape shape)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, double v, @Const @ByVal tensorflow.TensorShape shape)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, @Cast(value="const bool") boolean v, @Const @ByVal tensorflow.TensorShape shape)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, @StdString BytePointer v, @Const @ByVal tensorflow.TensorShape shape)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.Output Const(@Const @ByRef tensorflow.Scope scope, @StdString String v, @Const @ByVal tensorflow.TensorShape shape)
@Namespace(value="tensorflow::ops") @ByVal public static tensorflow.NodeOutVector AsNodeOutList(@Const @ByRef tensorflow.Scope scope, @Const @ByRef tensorflow.InputList inp)
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