TensorFlow C++ API Reference
array_ops
Members |
|
|---|---|
| tensorflow::ops::BatchToSpace | BatchToSpace for 4-D tensors of type T. |
| tensorflow::ops::BatchToSpaceND | BatchToSpace for N-D tensors of type T. |
| tensorflow::ops::Bitcast | Bitcasts a tensor from one type to another without copying data. |
| tensorflow::ops::BroadcastDynamicShape | Return the shape of s0 op s1 with broadcast. |
| tensorflow::ops::BroadcastTo | Broadcast an array for a compatible shape. |
| tensorflow::ops::CheckNumerics | Checks a tensor for NaN and Inf values. |
| tensorflow::ops::Concat | Concatenates tensors along one dimension. |
| tensorflow::ops::ConjugateTranspose | Shuffle dimensions of x according to a permutation and conjugate the result. |
| tensorflow::ops::DebugGradientIdentity | Identity op for gradient debugging. |
| tensorflow::ops::DebugGradientRefIdentity | Identity op for gradient debugging. |
| tensorflow::ops::DeepCopy |
Makes a copy of
x
.
|
| tensorflow::ops::DepthToSpace | DepthToSpace for tensors of type T. |
| tensorflow::ops::Dequantize | Dequantize the 'input' tensor into a float or bfloat16 Tensor . |
| tensorflow::ops::Diag | Returns a diagonal tensor with a given diagonal values. |
| tensorflow::ops::DiagPart | Returns the diagonal part of the tensor. |
| tensorflow::ops::EditDistance | Computes the (possibly normalized) Levenshtein Edit Distance. |
| tensorflow::ops::Empty | Creates a tensor with the given shape. |
| tensorflow::ops::EnsureShape | Ensures that the tensor's shape matches the expected shape. |
| tensorflow::ops::ExpandDims | Inserts a dimension of 1 into a tensor's shape. |
| tensorflow::ops::ExtractImagePatches |
Extract
patches
from
images
and put them in the "depth" output dimension.
|
| tensorflow::ops::ExtractVolumePatches |
Extract
patches
from
input
and put them in the
"depth"
output dimension.
|
| tensorflow::ops::FakeQuantWithMinMaxArgs | Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type. |
| tensorflow::ops::FakeQuantWithMinMaxArgsGradient | Compute gradients for a FakeQuantWithMinMaxArgs operation. |
| tensorflow::ops::FakeQuantWithMinMaxVars | Fake-quantize the 'inputs' tensor of type float via global float scalars. |
| tensorflow::ops::FakeQuantWithMinMaxVarsGradient | Compute gradients for a FakeQuantWithMinMaxVars operation. |
| tensorflow::ops::FakeQuantWithMinMaxVarsPerChannel | Fake-quantize the 'inputs' tensor of type float via per-channel floats. |
| tensorflow::ops::FakeQuantWithMinMaxVarsPerChannelGradient | Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation. |
| tensorflow::ops::Fill | Creates a tensor filled with a scalar value. |
| tensorflow::ops::Fingerprint | Generates fingerprint values. |
| tensorflow::ops::Gather |
Gather
slices from
params
according to
indices
.
|
| tensorflow::ops::GatherNd |
Gather
slices from
params
into a
Tensor
with shape specified by
indices
.
|
| tensorflow::ops::GatherV2 |
Gather
slices from
params
axis
axis
according to
indices
.
|
| tensorflow::ops::GuaranteeConst | Gives a guarantee to the TF runtime that the input tensor is a constant. |
| tensorflow::ops::Identity | Return a tensor with the same shape and contents as the input tensor or value. |
| tensorflow::ops::IdentityN | Returns a list of tensors with the same shapes and contents as the input. |
| tensorflow::ops::ImmutableConst | Returns immutable tensor from memory region. |
| tensorflow::ops::InplaceAdd | Adds v into specified rows of x. |
| tensorflow::ops::InplaceSub |
Subtracts
v
into specified rows of
x
.
|
| tensorflow::ops::InplaceUpdate | Updates specified rows 'i' with values 'v'. |
| tensorflow::ops::InvertPermutation | Computes the inverse permutation of a tensor. |
| tensorflow::ops::MatrixBandPart | Copy a tensor setting everything outside a central band in each innermost matrix to zero. |
| tensorflow::ops::MatrixDiag | Returns a batched diagonal tensor with a given batched diagonal values. |
| tensorflow::ops::MatrixDiagPart | Returns the batched diagonal part of a batched tensor. |
| tensorflow::ops::MatrixDiagPartV2 | Returns the batched diagonal part of a batched tensor. |
| tensorflow::ops::MatrixDiagPartV3 | Returns the batched diagonal part of a batched tensor. |
| tensorflow::ops::MatrixDiagV2 | Returns a batched diagonal tensor with given batched diagonal values. |
| tensorflow::ops::MatrixDiagV3 | Returns a batched diagonal tensor with given batched diagonal values. |
| tensorflow::ops::MatrixSetDiag | Returns a batched matrix tensor with new batched diagonal values. |
| tensorflow::ops::MatrixSetDiagV2 | Returns a batched matrix tensor with new batched diagonal values. |
| tensorflow::ops::MatrixSetDiagV3 | Returns a batched matrix tensor with new batched diagonal values. |
| tensorflow::ops::MirrorPad | Pads a tensor with mirrored values. |
| tensorflow::ops::OneHot | Returns a one-hot tensor. |
| tensorflow::ops::OnesLike | Returns a tensor of ones with the same shape and type as x. |
| tensorflow::ops::Pad | Pads a tensor with zeros. |
| tensorflow::ops::PadV2 | Pads a tensor. |
| tensorflow::ops::ParallelConcat |
Concatenates a list of
N
tensors along the first dimension.
|
| tensorflow::ops::Placeholder | A placeholder op for a value that will be fed into the computation. |
| tensorflow::ops::PlaceholderWithDefault |
A placeholder op that passes through
input
when its output is not fed.
|
| tensorflow::ops::PreventGradient | An identity op that triggers an error if a gradient is requested. |
| tensorflow::ops::QuantizeAndDequantizeV2 | Quantizes then dequantizes a tensor. |
| tensorflow::ops::QuantizeAndDequantizeV3 | Quantizes then dequantizes a tensor. |
| tensorflow::ops::QuantizeAndDequantizeV4 | Quantizes then dequantizes a tensor. |
| tensorflow::ops::QuantizeAndDequantizeV4Grad |
Returns the gradient of
QuantizeAndDequantizeV4
.
|
| tensorflow::ops::QuantizeV2 | Quantize the 'input' tensor of type float to 'output' tensor of type 'T'. |
| tensorflow::ops::QuantizedConcat | Concatenates quantized tensors along one dimension. |
| tensorflow::ops::QuantizedInstanceNorm | Quantized Instance normalization. |
| tensorflow::ops::SetDiff1D | Computes the difference between two lists of numbers or strings. |
| tensorflow::ops::Stack |
Packs a list of
N
rank-
R
tensors into one rank-
(R+1)
tensor.
|
| tensorflow::ops::Where | Reshapes a quantized tensor as per the Reshape op. |
| tensorflow::ops::ZerosLike | Returns a tensor of zeros with the same shape and type as x. |
candidate_sampling_ops
Members |
|
|---|---|
| tensorflow::ops::AllCandidateSampler | Generates labels for candidate sampling with a learned unigram distribution. |
| tensorflow::ops::ComputeAccidentalHits | Computes the ids of the positions in sampled_candidates that match true_labels. |
| tensorflow::ops::FixedUnigramCandidateSampler | Generates labels for candidate sampling with a learned unigram distribution. |
| tensorflow::ops::LearnedUnigramCandidateSampler | Generates labels for candidate sampling with a learned unigram distribution. |
| tensorflow::ops::LogUniformCandidateSampler | Generates labels for candidate sampling with a log-uniform distribution. |
| tensorflow::ops::UniformCandidateSampler | Generates labels for candidate sampling with a uniform distribution. |
control_flow_ops
Members |
|
|---|---|
| tensorflow::ops::Abort | Raise a exception to abort the process when called. |
| tensorflow::ops::ControlTrigger | Does nothing. |
| tensorflow::ops::LoopCond | Forwards the input to the output. |
| tensorflow::ops::Merge |
Forwards the value of an available tensor from
inputs
to
output
.
|
| tensorflow::ops::NextIteration | Makes its input available to the next iteration. |
| tensorflow::ops::RefNextIteration | Makes its input available to the next iteration. |
| tensorflow::ops::RefSelect |
Forwards the
index
th element of
inputs
to
output
.
|
| tensorflow::ops::RefSwitch |
Forwards the ref tensor
data
to the output port determined by
pred
.
|
| tensorflow::ops::Switch |
Forwards
data
to the output port determined by
pred
.
|
core
Members |
|
|---|---|
| tensorflow::ClientSession |
A
ClientSession
object lets the caller drive the evaluation of the TensorFlow graph constructed with the C++ API.
|
| tensorflow::Input | Represents a tensor value that can be used as an operand to an Operation . |
| tensorflow::InputList | A type for representing the input to ops that require a list of tensors. |
| tensorflow::Operation | Represents a node in the computation graph. |
| tensorflow::Output | Represents a tensor value produced by an Operation . |
| tensorflow::Scope |
A
Scope
object represents a set of related TensorFlow ops that have the same properties such as a common name prefix.
|
| tensorflow::TensorBuffer | |
data_flow_ops
Members |
|
|---|---|
| tensorflow::ops::AccumulatorApplyGradient | Applies a gradient to a given accumulator. |
| tensorflow::ops::AccumulatorNumAccumulated | Returns the number of gradients aggregated in the given accumulators. |
| tensorflow::ops::AccumulatorSetGlobalStep | Updates the accumulator with a new value for global_step. |
| tensorflow::ops::AccumulatorTakeGradient | Extracts the average gradient in the given ConditionalAccumulator . |
| tensorflow::ops::Barrier | Defines a barrier that persists across different graph executions. |
| tensorflow::ops::BarrierClose | Closes the given barrier. |
| tensorflow::ops::BarrierIncompleteSize | Computes the number of incomplete elements in the given barrier. |
| tensorflow::ops::BarrierInsertMany | For each key, assigns the respective value to the specified component. |
| tensorflow::ops::BarrierReadySize | Computes the number of complete elements in the given barrier. |
| tensorflow::ops::BarrierTakeMany | Takes the given number of completed elements from a barrier. |
| tensorflow::ops::ConditionalAccumulator | A conditional accumulator for aggregating gradients. |
| tensorflow::ops::DeleteSessionTensor | Delete the tensor specified by its handle in the session. |
| tensorflow::ops::DynamicPartition |
Partitions
data
into
num_partitions
tensors using indices from
partitions
.
|
| tensorflow::ops::DynamicStitch |
Interleave the values from the
data
tensors into a single tensor.
|
| tensorflow::ops::FIFOQueue | A queue that produces elements in first-in first-out order. |
| tensorflow::ops::GetSessionHandle | Store the input tensor in the state of the current session. |
| tensorflow::ops::GetSessionHandleV2 | Store the input tensor in the state of the current session. |
| tensorflow::ops::GetSessionTensor | Get the value of the tensor specified by its handle. |
| tensorflow::ops::MapClear | Op removes all elements in the underlying container. |
| tensorflow::ops::MapIncompleteSize | Op returns the number of incomplete elements in the underlying container. |
| tensorflow::ops::MapPeek | Op peeks at the values at the specified key. |
| tensorflow::ops::MapSize | Op returns the number of elements in the underlying container. |
| tensorflow::ops::MapStage | Stage (key, values) in the underlying container which behaves like a hashtable. |
| tensorflow::ops::MapUnstage | Op removes and returns the values associated with the key. |
| tensorflow::ops::MapUnstageNoKey | Op removes and returns a random (key, value) |
| tensorflow::ops::OrderedMapClear | Op removes all elements in the underlying container. |
| tensorflow::ops::OrderedMapIncompleteSize | Op returns the number of incomplete elements in the underlying container. |
| tensorflow::ops::OrderedMapPeek | Op peeks at the values at the specified key. |
| tensorflow::ops::OrderedMapSize | Op returns the number of elements in the underlying container. |
| tensorflow::ops::OrderedMapStage | Stage (key, values) in the underlying container which behaves like a ordered. |
| tensorflow::ops::OrderedMapUnstage | Op removes and returns the values associated with the key. |
| tensorflow::ops::OrderedMapUnstageNoKey | Op removes and returns the (key, value) element with the smallest. |
| tensorflow::ops::PaddingFIFOQueue | A queue that produces elements in first-in first-out order. |
| tensorflow::ops::ParallelDynamicStitch |
Interleave the values from the
data
tensors into a single tensor.
|
| tensorflow::ops::PriorityQueue | A queue that produces elements sorted by the first component value. |
| tensorflow::ops::QueueClose | Closes the given queue. |
| tensorflow::ops::QueueDequeue | Dequeues a tuple of one or more tensors from the given queue. |
| tensorflow::ops::QueueDequeueMany |
Dequeues
n
tuples of one or more tensors from the given queue.
|
| tensorflow::ops::QueueDequeueUpTo |
Dequeues
n
tuples of one or more tensors from the given queue.
|
| tensorflow::ops::QueueEnqueue | Enqueues a tuple of one or more tensors in the given queue. |
| tensorflow::ops::QueueEnqueueMany | Enqueues zero or more tuples of one or more tensors in the given queue. |
| tensorflow::ops::QueueIsClosed | Returns true if queue is closed. |
| tensorflow::ops::QueueIsClosedV2 | Returns true if queue is closed. |
| tensorflow::ops::QueueSize | Computes the number of elements in the given queue. |
| tensorflow::ops::RandomShuffleQueue | A queue that randomizes the order of elements. |
| tensorflow::ops::RecordInput | Emits randomized records. |
| tensorflow::ops::SparseAccumulatorApplyGradient | Applies a sparse gradient to a given accumulator. |
| tensorflow::ops::SparseAccumulatorTakeGradient | Extracts the average sparse gradient in a SparseConditionalAccumulator . |
| tensorflow::ops::SparseConditionalAccumulator | A conditional accumulator for aggregating sparse gradients. |
| tensorflow::ops::Stage | Stage values similar to a lightweight Enqueue. |
| tensorflow::ops::StageClear | Op removes all elements in the underlying container. |
| tensorflow::ops::StagePeek | Op peeks at the values at the specified index. |
| tensorflow::ops::StageSize | Op returns the number of elements in the underlying container. |
| tensorflow::ops::TensorArray | An array of Tensors of given size. |
| tensorflow::ops::TensorArrayClose | Delete the TensorArray from its resource container. |
| tensorflow::ops::TensorArrayConcat |
Concat
the elements from the
TensorArray
into value
value
.
|
| tensorflow::ops::TensorArrayGather |
Gather
specific elements from the
TensorArray
into output
value
.
|
| tensorflow::ops::TensorArrayGrad | Creates a TensorArray for storing the gradients of values in the given handle. |
| tensorflow::ops::TensorArrayGradWithShape | Creates a TensorArray for storing multiple gradients of values in the given handle. |
| tensorflow::ops::TensorArrayRead |
Read an element from the
TensorArray
into output
value
.
|
| tensorflow::ops::TensorArrayScatter | Scatter the data from the input value into specific TensorArray elements. |
| tensorflow::ops::TensorArraySize | Get the current size of the TensorArray . |
| tensorflow::ops::TensorArraySplit | Split the data from the input value into TensorArray elements. |
| tensorflow::ops::TensorArrayWrite | Push an element onto the tensor_array. |
| tensorflow::ops::Unstage | Op is similar to a lightweight Dequeue. |
image_ops
Members |
|
|---|---|
| tensorflow::ops::AdjustContrast | Adjust the contrast of one or more images. |
| tensorflow::ops::AdjustHue | Adjust the hue of one or more images. |
| tensorflow::ops::AdjustSaturation | Adjust the saturation of one or more images. |
| tensorflow::ops::CombinedNonMaxSuppression | Greedily selects a subset of bounding boxes in descending order of score,. |
| tensorflow::ops::CropAndResize | Extracts crops from the input image tensor and resizes them. |
| tensorflow::ops::CropAndResizeGradBoxes | Computes the gradient of the crop_and_resize op wrt the input boxes tensor. |
| tensorflow::ops::CropAndResizeGradImage | Computes the gradient of the crop_and_resize op wrt the input image tensor. |
| tensorflow::ops::DecodeAndCropJpeg | Decode and Crop a JPEG-encoded image to a uint8 tensor. |
| tensorflow::ops::DecodeBmp | Decode the first frame of a BMP-encoded image to a uint8 tensor. |
| tensorflow::ops::DecodeGif | Decode the frame(s) of a GIF-encoded image to a uint8 tensor. |
| tensorflow::ops::DecodeImage | Function for decode_bmp, decode_gif, decode_jpeg, and decode_png. |
| tensorflow::ops::DecodeJpeg | Decode a JPEG-encoded image to a uint8 tensor. |
| tensorflow::ops::DecodePng | Decode a PNG-encoded image to a uint8 or uint16 tensor. |
| tensorflow::ops::DrawBoundingBoxes | Draw bounding boxes on a batch of images. |
| tensorflow::ops::DrawBoundingBoxesV2 | Draw bounding boxes on a batch of images. |
| tensorflow::ops::EncodeJpeg | JPEG-encode an image. |
| tensorflow::ops::EncodeJpegVariableQuality | JPEG encode input image with provided compression quality. |
| tensorflow::ops::EncodePng | PNG-encode an image. |
| tensorflow::ops::ExtractGlimpse | Extracts a glimpse from the input tensor. |
| tensorflow::ops::ExtractJpegShape | Extract the shape information of a JPEG-encoded image. |
| tensorflow::ops::HSVToRGB | Convert one or more images from HSV to RGB. |
| tensorflow::ops::NonMaxSuppression | Greedily selects a subset of bounding boxes in descending order of score,. |
| tensorflow::ops::NonMaxSuppressionV2 | Greedily selects a subset of bounding boxes in descending order of score,. |
| tensorflow::ops::NonMaxSuppressionV3 | Greedily selects a subset of bounding boxes in descending order of score,. |
| tensorflow::ops::NonMaxSuppressionV4 | Greedily selects a subset of bounding boxes in descending order of score,. |
| tensorflow::ops::NonMaxSuppressionV5 | Greedily selects a subset of bounding boxes in descending order of score,. |
| tensorflow::ops::NonMaxSuppressionWithOverlaps | Greedily selects a subset of bounding boxes in descending order of score,. |
| tensorflow::ops::QuantizedResizeBilinear |
Resize quantized
images
to
size
using quantized bilinear interpolation.
|
| tensorflow::ops::RGBToHSV | Converts one or more images from RGB to HSV. |
| tensorflow::ops::ResizeArea |
Resize
images
to
size
using area interpolation.
|
| tensorflow::ops::ResizeBicubic |
Resize
images
to
size
using bicubic interpolation.
|
| tensorflow::ops::ResizeBilinear |
Resize
images
to
size
using bilinear interpolation.
|
| tensorflow::ops::ResizeNearestNeighbor |
Resize
images
to
size
using nearest neighbor interpolation.
|
| tensorflow::ops::SampleDistortedBoundingBox | Generate a single randomly distorted bounding box for an image. |
| tensorflow::ops::SampleDistortedBoundingBoxV2 | Generate a single randomly distorted bounding box for an image. |
| tensorflow::ops::ScaleAndTranslate | TODO: add doc. |
| tensorflow::ops::StatelessSampleDistortedBoundingBox | Generate a randomly distorted bounding box for an image deterministically. |
io_ops
Members |
|
|---|---|
| tensorflow::ops::FixedLengthRecordReader | A Reader that outputs fixed-length records from a file. |
| tensorflow::ops::IdentityReader | A Reader that outputs the queued work as both the key and value. |
| tensorflow::ops::LMDBReader | A Reader that outputs the records from a LMDB file. |
| tensorflow::ops::MatchingFiles | Returns the set of files matching one or more glob patterns. |
| tensorflow::ops::MergeV2Checkpoints | V2 format specific: merges the metadata files of sharded checkpoints. |
| tensorflow::ops::ReadFile | Reads and outputs the entire contents of the input filename. |
| tensorflow::ops::ReaderNumRecordsProduced | Returns the number of records this Reader has produced. |
| tensorflow::ops::ReaderNumWorkUnitsCompleted | Returns the number of work units this Reader has finished processing. |
| tensorflow::ops::ReaderRead | Returns the next record (key, value pair) produced by a Reader. |
| tensorflow::ops::ReaderReadUpTo |
Returns up to
num_records
(key, value) pairs produced by a Reader.
|
| tensorflow::ops::ReaderReset | Restore a Reader to its initial clean state. |
| tensorflow::ops::ReaderRestoreState | Restore a reader to a previously saved state. |
| tensorflow::ops::ReaderSerializeState | Produce a string tensor that encodes the state of a Reader. |
| tensorflow::ops::Restore | Restores a tensor from checkpoint files. |
| tensorflow::ops::RestoreSlice | Restores a tensor from checkpoint files. |
| tensorflow::ops::RestoreV2 | Restores tensors from a V2 checkpoint. |
| tensorflow::ops::Save | Saves the input tensors to disk. |
| tensorflow::ops::SaveSlices | Saves input tensors slices to disk. |
| tensorflow::ops::SaveV2 | Saves tensors in V2 checkpoint format. |
| tensorflow::ops::ShardedFilename | Generate a sharded filename. |
| tensorflow::ops::ShardedFilespec | Generate a glob pattern matching all sharded file names. |
| tensorflow::ops::TFRecordReader | A Reader that outputs the records from a TensorFlow Records file. |
| tensorflow::ops::TextLineReader |
A Reader that outputs the lines of a file delimited by '
'. |
| tensorflow::ops::WholeFileReader | A Reader that outputs the entire contents of a file as a value. |
| tensorflow::ops::WriteFile | Writes contents to the file at input filename. |
logging_ops
Members |
|
|---|---|
| tensorflow::ops::Assert | Asserts that the given condition is true. |
| tensorflow::ops::HistogramSummary |
Outputs a
Summary
protocol buffer with a histogram.
|
| tensorflow::ops::MergeSummary | Merges summaries. |
| tensorflow::ops::Print | Prints a list of tensors. |
| tensorflow::ops::PrintV2 | Prints a string scalar. |
| tensorflow::ops::ScalarSummary |
Outputs a
Summary
protocol buffer with scalar values.
|
| tensorflow::ops::TensorSummary |
Outputs a
Summary
protocol buffer with a tensor.
|
| tensorflow::ops::TensorSummaryV2 |
Outputs a
Summary
protocol buffer with a tensor and per-plugin data.
|
| tensorflow::ops::Timestamp | Provides the time since epoch in seconds. |
math_ops
Members |
|
|---|---|
| tensorflow::ops::Abs | Computes the absolute value of a tensor. |
| tensorflow::ops::AccumulateNV2 | Returns the element-wise sum of a list of tensors. |
| tensorflow::ops::Acos | Computes acos of x element-wise. |
| tensorflow::ops::Acosh | Computes inverse hyperbolic cosine of x element-wise. |
| tensorflow::ops::Add | Returns x + y element-wise. |
| tensorflow::ops::AddN | Add all input tensors element wise. |
| tensorflow::ops::AddV2 | Returns x + y element-wise. |
| tensorflow::ops::All | Computes the "logical and" of elements across dimensions of a tensor. |
| tensorflow::ops::Angle | Returns the argument of a complex number. |
| tensorflow::ops::Any | Computes the "logical or" of elements across dimensions of a tensor. |
| tensorflow::ops::ApproximateEqual | Returns the truth value of abs(x-y) < tolerance element-wise. |
| tensorflow::ops::ArgMax | Returns the index with the largest value across dimensions of a tensor. |
| tensorflow::ops::ArgMin | Returns the index with the smallest value across dimensions of a tensor. |
| tensorflow::ops::Asin | Computes the trignometric inverse sine of x element-wise. |
| tensorflow::ops::Asinh | Computes inverse hyperbolic sine of x element-wise. |
| tensorflow::ops::Atan | Computes the trignometric inverse tangent of x element-wise. |
| tensorflow::ops::Atan2 |
Computes arctangent of
y/x
element-wise, respecting signs of the arguments.
|
| tensorflow::ops::Atanh | Computes inverse hyperbolic tangent of x element-wise. |
| tensorflow::ops::BatchMatMul | Multiplies slices of two tensors in batches. |
| tensorflow::ops::BatchMatMulV2 | Multiplies slices of two tensors in batches. |
| tensorflow::ops::BatchMatMulV3 | Multiplies slices of two tensors in batches. |
| tensorflow::ops::Betainc | Compute the regularized incomplete beta integral \(I_x(a, b)\). |
| tensorflow::ops::Bincount | Counts the number of occurrences of each value in an integer array. |
| tensorflow::ops::Bucketize | Bucketizes 'input' based on 'boundaries'. |
| tensorflow::ops::Cast | Cast x of type SrcT to y of DstT. |
| tensorflow::ops::Ceil | Returns element-wise smallest integer not less than x. |
| tensorflow::ops::ClipByValue | Clips tensor values to a specified min and max. |
| tensorflow::ops::Complex | Converts two real numbers to a complex number. |
| tensorflow::ops::ComplexAbs | Computes the complex absolute value of a tensor. |
| tensorflow::ops::Conj | Returns the complex conjugate of a complex number. |
| tensorflow::ops::Cos | Computes cos of x element-wise. |
| tensorflow::ops::Cosh | Computes hyperbolic cosine of x element-wise. |
| tensorflow::ops::Cross | Compute the pairwise cross product. |
| tensorflow::ops::Cumprod |
Compute the cumulative product of the tensor
x
along
axis
.
|
| tensorflow::ops::Cumsum |
Compute the cumulative sum of the tensor
x
along
axis
.
|
| tensorflow::ops::DenseBincount | Counts the number of occurrences of each value in an integer array. |
| tensorflow::ops::Digamma | Computes Psi, the derivative of Lgamma (the log of the absolute value of. |
| tensorflow::ops::Div | Returns x / y element-wise. |
| tensorflow::ops::DivNoNan | Returns 0 if the denominator is zero. |
| tensorflow::ops::Equal | Returns the truth value of (x == y) element-wise. |
| tensorflow::ops::Erf |
Computes the
Gauss error function
of
x
element-wise.
|
| tensorflow::ops::Erfc |
Computes the complementary error function of
x
element-wise.
|
| tensorflow::ops::Erfinv | TODO: add doc. |
| tensorflow::ops::EuclideanNorm | Computes the euclidean norm of elements across dimensions of a tensor. |
| tensorflow::ops::Exp | Computes exponential of x element-wise. |
| tensorflow::ops::Expm1 |
Computes
exp(x) - 1
element-wise.
|
| tensorflow::ops::Floor | Returns element-wise largest integer not greater than x. |
| tensorflow::ops::FloorDiv | Returns x // y element-wise. |
| tensorflow::ops::FloorMod | Returns element-wise remainder of division. |
| tensorflow::ops::Greater | Returns the truth value of (x > y) element-wise. |
| tensorflow::ops::GreaterEqual | Returns the truth value of (x >= y) element-wise. |
| tensorflow::ops::HistogramFixedWidth | Return histogram of values. |
| tensorflow::ops::Igamma |
Compute the lower regularized incomplete Gamma function
P(a, x)
.
|
| tensorflow::ops::Igammac |
Compute the upper regularized incomplete Gamma function
Q(a, x)
.
|
| tensorflow::ops::Imag | Returns the imaginary part of a complex number. |
| tensorflow::ops::Inv | Computes the reciprocal of x element-wise. |
| tensorflow::ops::IsFinite | Returns which elements of x are finite. |
| tensorflow::ops::IsInf | Returns which elements of x are Inf. |
| tensorflow::ops::IsNan | Returns which elements of x are NaN. |
| tensorflow::ops::Less | Returns the truth value of (x < y) element-wise. |
| tensorflow::ops::LessEqual | Returns the truth value of (x <= y) element-wise. |
| tensorflow::ops::Lgamma |
Computes the log of the absolute value of
Gamma(x)
element-wise.
|
| tensorflow::ops::Log | Computes natural logarithm of x element-wise. |
| tensorflow::ops::Log1p | Computes natural logarithm of (1 + x) element-wise. |
| tensorflow::ops::LogicalAnd | Returns the truth value of x AND y element-wise. |
| tensorflow::ops::LogicalNot |
Returns the truth value of
NOT x
element-wise.
|
| tensorflow::ops::LogicalOr | Returns the truth value of x OR y element-wise. |
| tensorflow::ops::MatMul | Multiply the matrix "a" by the matrix "b". |
| tensorflow::ops::Max | Computes the maximum of elements across dimensions of a tensor. |
| tensorflow::ops::Maximum | Returns the max of x and y (i.e. |
| tensorflow::ops::Mean | Computes the mean of elements across dimensions of a tensor. |
| tensorflow::ops::Min | Computes the minimum of elements across dimensions of a tensor. |
| tensorflow::ops::Minimum | Returns the min of x and y (i.e. |
| tensorflow::ops::Mod | Returns element-wise remainder of division. |
| tensorflow::ops::MulNoNan | Returns x * y element-wise. |
| tensorflow::ops::Multiply | Returns x * y element-wise. |
| tensorflow::ops::Ndtri | TODO: add doc. |
| tensorflow::ops::Negate | Computes numerical negative value element-wise. |
| tensorflow::ops::NextAfter |
Returns the next representable value of
x1
in the direction of
x2
, element-wise.
|
| tensorflow::ops::NotEqual | Returns the truth value of (x != y) element-wise. |
| tensorflow::ops::Polygamma | Compute the polygamma function \(^{(n)}(x)\). |
| tensorflow::ops::Pow | Computes the power of one value to another. |
| tensorflow::ops::Prod | Computes the product of elements across dimensions of a tensor. |
| tensorflow::ops::QuantizeDownAndShrinkRange | Convert the quantized 'input' tensor into a lower-precision 'output', using the. |
| tensorflow::ops::QuantizedAdd | Returns x + y element-wise, working on quantized buffers. |
| tensorflow::ops::QuantizedMatMul |
Perform a quantized matrix multiplication of
a
by the matrix
b
.
|
| tensorflow::ops::QuantizedMul | Returns x * y element-wise, working on quantized buffers. |
| tensorflow::ops::RaggedBincount | Counts the number of occurrences of each value in an integer array. |
| tensorflow::ops::Range | Creates a sequence of numbers. |
| tensorflow::ops::Real | Returns the real part of a complex number. |
| tensorflow::ops::RealDiv | Returns x / y element-wise for real types. |
| tensorflow::ops::Reciprocal | Computes the reciprocal of x element-wise. |
| tensorflow::ops::RequantizationRange | Computes a range that covers the actual values present in a quantized tensor. |
| tensorflow::ops::Requantize |
Converts the quantized
input
tensor into a lower-precision
output
.
|
| tensorflow::ops::Rint | Returns element-wise integer closest to x. |
| tensorflow::ops::Round | Rounds the values of a tensor to the nearest integer, element-wise. |
| tensorflow::ops::Rsqrt | Computes reciprocal of square root of x element-wise. |
| tensorflow::ops::SegmentMax | Computes the maximum along segments of a tensor. |
| tensorflow::ops::SegmentMean | Computes the mean along segments of a tensor. |
| tensorflow::ops::SegmentMin | Computes the minimum along segments of a tensor. |
| tensorflow::ops::SegmentProd | Computes the product along segments of a tensor. |
| tensorflow::ops::SegmentSum | Computes the sum along segments of a tensor. |
| tensorflow::ops::SelectV2 | TODO: add doc. |
| tensorflow::ops::Sigmoid |
Computes sigmoid of
x
element-wise.
|
| tensorflow::ops::Sign | Returns an element-wise indication of the sign of a number. |
| tensorflow::ops::Sin | Computes sine of x element-wise. |
| tensorflow::ops::Sinh | Computes hyperbolic sine of x element-wise. |
| tensorflow::ops::SparseBincount | Counts the number of occurrences of each value in an integer array. |
| tensorflow::ops::SparseMatMul | Multiply matrix "a" by matrix "b". |
| tensorflow::ops::SparseSegmentMean | Computes the mean along sparse segments of a tensor. |
| tensorflow::ops::SparseSegmentMeanGrad | Computes gradients for SparseSegmentMean . |
| tensorflow::ops::SparseSegmentMeanWithNumSegments | Computes the mean along sparse segments of a tensor. |
| tensorflow::ops::SparseSegmentSqrtN | Computes the sum along sparse segments of a tensor divided by the sqrt of N. |
| tensorflow::ops::SparseSegmentSqrtNGrad | Computes gradients for SparseSegmentSqrtN . |
| tensorflow::ops::SparseSegmentSqrtNWithNumSegments | Computes the sum along sparse segments of a tensor divided by the sqrt of N. |
| tensorflow::ops::SparseSegmentSum | Computes the sum along sparse segments of a tensor. |
| tensorflow::ops::SparseSegmentSumGrad | Computes gradients for SparseSegmentSum . |
| tensorflow::ops::SparseSegmentSumWithNumSegments | Computes the sum along sparse segments of a tensor. |
| tensorflow::ops::Sqrt | Computes square root of x element-wise. |
| tensorflow::ops::Square | Computes square of x element-wise. |
| tensorflow::ops::SquaredDifference | Returns conj(x - y)(x - y) element-wise. |
| tensorflow::ops::Subtract | Returns x - y element-wise. |
| tensorflow::ops::Sum | Computes the sum of elements across dimensions of a tensor. |
| tensorflow::ops::Tan | Computes tan of x element-wise. |
| tensorflow::ops::Tanh |
Computes hyperbolic tangent of
x
element-wise.
|
| tensorflow::ops::TruncateDiv | Returns x / y element-wise for integer types. |
| tensorflow::ops::TruncateMod | Returns element-wise remainder of division. |
| tensorflow::ops::UnsortedSegmentMax | Computes the maximum along segments of a tensor. |
| tensorflow::ops::UnsortedSegmentMin | Computes the minimum along segments of a tensor. |
| tensorflow::ops::UnsortedSegmentProd | Computes the product along segments of a tensor. |
| tensorflow::ops::UnsortedSegmentSum | Computes the sum along segments of a tensor. |
| tensorflow::ops::Where3 |
Selects elements from
x
or
y
, depending on
condition
.
|
| tensorflow::ops::Xdivy | Returns 0 if x == 0, and x / y otherwise, elementwise. |
| tensorflow::ops::Xlog1py | Returns 0 if x == 0, and x * log1p(y) otherwise, elementwise. |
| tensorflow::ops::Xlogy | Returns 0 if x == 0, and x * log(y) otherwise, elementwise. |
| tensorflow::ops::Zeta | Compute the Hurwitz zeta function \((x, q)\). |
nn_ops
Members |
|
|---|---|
| tensorflow::ops::AvgPool | Performs average pooling on the input. |
| tensorflow::ops::AvgPool3D | Performs 3D average pooling on the input. |
| tensorflow::ops::AvgPool3DGrad | Computes gradients of average pooling function. |
| tensorflow::ops::BiasAdd |
Adds
bias
to
value
.
|
| tensorflow::ops::BiasAddGrad | The backward operation for "BiasAdd" on the "bias" tensor. |
| tensorflow::ops::Conv2D |
Computes a 2-D convolution given 4-D
input
and
filter
tensors.
|
| tensorflow::ops::Conv2DBackpropFilter | Computes the gradients of convolution with respect to the filter. |
| tensorflow::ops::Conv2DBackpropInput | Computes the gradients of convolution with respect to the input. |
| tensorflow::ops::Conv3D |
Computes a 3-D convolution given 5-D
input
and
filter
tensors.
|
| tensorflow::ops::Conv3DBackpropFilterV2 | Computes the gradients of 3-D convolution with respect to the filter. |
| tensorflow::ops::Conv3DBackpropInputV2 | Computes the gradients of 3-D convolution with respect to the input. |
| tensorflow::ops::DataFormatDimMap | Returns the dimension index in the destination data format given the one in. |
| tensorflow::ops::DataFormatVecPermute |
Permute input tensor from
src_format
to
dst_format
.
|
| tensorflow::ops::DepthwiseConv2dNative |
Computes a 2-D depthwise convolution given 4-D
input
and
filter
tensors.
|
| tensorflow::ops::DepthwiseConv2dNativeBackpropFilter | Computes the gradients of depthwise convolution with respect to the filter. |
| tensorflow::ops::DepthwiseConv2dNativeBackpropInput | Computes the gradients of depthwise convolution with respect to the input. |
| tensorflow::ops::Dilation2D |
Computes the grayscale dilation of 4-D
input
and 3-D
filter
tensors.
|
| tensorflow::ops::Dilation2DBackpropFilter | Computes the gradient of morphological 2-D dilation with respect to the filter. |
| tensorflow::ops::Dilation2DBackpropInput | Computes the gradient of morphological 2-D dilation with respect to the input. |
| tensorflow::ops::Elu | Computes the exponential linear function. |
| tensorflow::ops::FractionalAvgPool | Performs fractional average pooling on the input. |
| tensorflow::ops::FractionalMaxPool | Performs fractional max pooling on the input. |
| tensorflow::ops::FusedBatchNorm | Batch normalization. |
| tensorflow::ops::FusedBatchNormGrad | Gradient for batch normalization. |
| tensorflow::ops::FusedBatchNormGradV2 | Gradient for batch normalization. |
| tensorflow::ops::FusedBatchNormGradV3 | Gradient for batch normalization. |
| tensorflow::ops::FusedBatchNormV2 | Batch normalization. |
| tensorflow::ops::FusedBatchNormV3 | Batch normalization. |
| tensorflow::ops::FusedPadConv2D | Performs a padding as a preprocess during a convolution. |
| tensorflow::ops::FusedResizeAndPadConv2D | Performs a resize and padding as a preprocess during a convolution. |
| tensorflow::ops::InTopK |
Says whether the targets are in the top
K
predictions.
|
| tensorflow::ops::InTopKV2 |
Says whether the targets are in the top
K
predictions.
|
| tensorflow::ops::L2Loss | L2 Loss. |
| tensorflow::ops::LRN | Local Response Normalization. |
| tensorflow::ops::LogSoftmax | Computes log softmax activations. |
| tensorflow::ops::MaxPool | Performs max pooling on the input. |
| tensorflow::ops::MaxPool3D | Performs 3D max pooling on the input. |
| tensorflow::ops::MaxPool3DGrad | Computes gradients of 3D max pooling function. |
| tensorflow::ops::MaxPool3DGradGrad | Computes second-order gradients of the maxpooling function. |
| tensorflow::ops::MaxPoolGradGrad | Computes second-order gradients of the maxpooling function. |
| tensorflow::ops::MaxPoolGradGradV2 | Computes second-order gradients of the maxpooling function. |
| tensorflow::ops::MaxPoolGradGradWithArgmax | Computes second-order gradients of the maxpooling function. |
| tensorflow::ops::MaxPoolGradV2 | Computes gradients of the maxpooling function. |
| tensorflow::ops::MaxPoolV2 | Performs max pooling on the input. |
| tensorflow::ops::MaxPoolWithArgmax | Performs max pooling on the input and outputs both max values and indices. |
| tensorflow::ops::NthElement |
Finds values of the
n
-th order statistic for the last dimension.
|
| tensorflow::ops::QuantizedAvgPool | Produces the average pool of the input tensor for quantized types. |
| tensorflow::ops::QuantizedBatchNormWithGlobalNormalization | Quantized Batch normalization. |
| tensorflow::ops::QuantizedBiasAdd | Adds Tensor 'bias' to Tensor 'input' for Quantized types. |
| tensorflow::ops::QuantizedConv2D | Computes a 2D convolution given quantized 4D input and filter tensors. |
| tensorflow::ops::QuantizedMaxPool | Produces the max pool of the input tensor for quantized types. |
| tensorflow::ops::QuantizedRelu |
Computes Quantized Rectified Linear:
max(features, 0)
|
| tensorflow::ops::QuantizedRelu6 |
Computes Quantized Rectified Linear 6:
min(max(features, 0), 6)
|
| tensorflow::ops::QuantizedReluX |
Computes Quantized Rectified Linear X:
min(max(features, 0), max_value)
|
| tensorflow::ops::Relu |
Computes rectified linear:
max(features, 0)
.
|
| tensorflow::ops::Relu6 |
Computes rectified linear 6:
min(max(features, 0), 6)
.
|
| tensorflow::ops::Selu |
Computes scaled exponential linear:
scale * alpha * (exp(features) - 1)
|
| tensorflow::ops::Softmax | Computes softmax activations. |
| tensorflow::ops::SoftmaxCrossEntropyWithLogits | Computes softmax cross entropy cost and gradients to backpropagate. |
| tensorflow::ops::Softplus | TODO: add doc. |
| tensorflow::ops::Softsign |
Computes softsign:
features / (abs(features) + 1)
.
|
| tensorflow::ops::SparseSoftmaxCrossEntropyWithLogits | Computes softmax cross entropy cost and gradients to backpropagate. |
| tensorflow::ops::TopK |
Finds values and indices of the
k
largest elements for the last dimension.
|
no_op
Members |
|
|---|---|
| tensorflow::ops::NoOp | Does nothing. |
parsing_ops
Members |
|
|---|---|
| tensorflow::ops::DecodeCSV | Convert CSV records to tensors. |
| tensorflow::ops::DecodeCompressed | Decompress strings. |
| tensorflow::ops::DecodeJSONExample | Convert JSON-encoded Example records to binary protocol buffer strings. |
| tensorflow::ops::DecodePaddedRaw | Reinterpret the bytes of a string as a vector of numbers. |
| tensorflow::ops::DecodeRaw | Reinterpret the bytes of a string as a vector of numbers. |
| tensorflow::ops::ParseExample | Transforms a vector of brain.Example protos (as strings) into typed tensors. |
| tensorflow::ops::ParseExampleV2 | Transforms a vector of tf.Example protos (as strings) into typed tensors. |
| tensorflow::ops::ParseSequenceExample | Transforms a vector of brain.SequenceExample protos (as strings) into typed tensors. |
| tensorflow::ops::ParseSequenceExampleV2 | Transforms a vector of tf.io.SequenceExample protos (as strings) into typed tensors. |
| tensorflow::ops::ParseSingleExample | Transforms a tf.Example proto (as a string) into typed tensors. |
| tensorflow::ops::ParseSingleSequenceExample | Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors. |
| tensorflow::ops::ParseTensor | Transforms a serialized tensorflow.TensorProto proto into a Tensor . |
| tensorflow::ops::SerializeTensor | Transforms a Tensor into a serialized TensorProto proto. |
| tensorflow::ops::StringToNumber | Converts each string in the input Tensor to the specified numeric type. |
random_ops
Members |
|
|---|---|
| tensorflow::ops::Multinomial | Draws samples from a multinomial distribution. |
| tensorflow::ops::ParameterizedTruncatedNormal | Outputs random values from a normal distribution. |
| tensorflow::ops::RandomGamma | Outputs random values from the Gamma distribution(s) described by alpha. |
| tensorflow::ops::RandomNormal | Outputs random values from a normal distribution. |
| tensorflow::ops::RandomPoissonV2 | Outputs random values from the Poisson distribution(s) described by rate. |
| tensorflow::ops::RandomShuffle | Randomly shuffles a tensor along its first dimension. |
| tensorflow::ops::RandomUniform | Outputs random values from a uniform distribution. |
| tensorflow::ops::RandomUniformInt | Outputs random integers from a uniform distribution. |
| tensorflow::ops::TruncatedNormal | Outputs random values from a truncated normal distribution. |
sparse_ops
Members |
|
|---|---|
| tensorflow::ops::AddManySparseToTensorsMap |
Add
an
N
-minibatch
SparseTensor
to a
SparseTensorsMap
, return
N
handles.
|
| tensorflow::ops::AddSparseToTensorsMap |
Add
a
SparseTensor
to a
SparseTensorsMap
return its handle.
|
| tensorflow::ops::DeserializeManySparse |
Deserialize and concatenate
SparseTensors
from a serialized minibatch.
|
| tensorflow::ops::DeserializeSparse |
Deserialize
SparseTensor
objects.
|
| tensorflow::ops::SerializeManySparse |
Serialize an
N
-minibatch
SparseTensor
into an
[N, 3]
Tensor
object.
|
| tensorflow::ops::SerializeSparse |
Serialize a
SparseTensor
into a
[3]
Tensor
object.
|
| tensorflow::ops::SparseAdd |
Adds two
SparseTensor
objects to produce another
SparseTensor
.
|
| tensorflow::ops::SparseAddGrad | The gradient operator for the SparseAdd op. |
| tensorflow::ops::SparseConcat |
Concatenates a list of
SparseTensor
along the specified dimension.
|
| tensorflow::ops::SparseCross | Generates sparse cross from a list of sparse and dense tensors. |
| tensorflow::ops::SparseCrossHashed | Generates sparse cross from a list of sparse and dense tensors. |
| tensorflow::ops::SparseCrossV2 | Generates sparse cross from a list of sparse and dense tensors. |
| tensorflow::ops::SparseDenseCwiseAdd | Adds up a SparseTensor and a dense Tensor , using these special rules: |
| tensorflow::ops::SparseDenseCwiseDiv | Component-wise divides a SparseTensor by a dense Tensor . |
| tensorflow::ops::SparseDenseCwiseMul | Component-wise multiplies a SparseTensor by a dense Tensor . |
| tensorflow::ops::SparseFillEmptyRows |
Fills empty rows in the input 2-D
SparseTensor
with a default value.
|
| tensorflow::ops::SparseFillEmptyRowsGrad | The gradient of SparseFillEmptyRows . |
| tensorflow::ops::SparseReduceMax | Computes the max of elements across dimensions of a SparseTensor. |
| tensorflow::ops::SparseReduceMaxSparse | Computes the max of elements across dimensions of a SparseTensor. |
| tensorflow::ops::SparseReduceSum | Computes the sum of elements across dimensions of a SparseTensor. |
| tensorflow::ops::SparseReduceSumSparse | Computes the sum of elements across dimensions of a SparseTensor. |
| tensorflow::ops::SparseReorder | Reorders a SparseTensor into the canonical, row-major ordering. |
| tensorflow::ops::SparseReshape | Reshapes a SparseTensor to represent values in a new dense shape. |
| tensorflow::ops::SparseSlice |
Slice a
SparseTensor
based on the
start
and
size
.
|
| tensorflow::ops::SparseSliceGrad | The gradient operator for the SparseSlice op. |
| tensorflow::ops::SparseSoftmax |
Applies softmax to a batched N-D
SparseTensor
.
|
| tensorflow::ops::SparseSparseMaximum | Returns the element-wise max of two SparseTensors. |
| tensorflow::ops::SparseSparseMinimum | Returns the element-wise min of two SparseTensors. |
| tensorflow::ops::SparseSplit |
Split a
SparseTensor
into
num_split
tensors along one dimension.
|
| tensorflow::ops::SparseTensorDenseAdd |
Adds up a
SparseTensor
and a dense
Tensor
, producing a dense
Tensor
.
|
| tensorflow::ops::SparseTensorDenseMatMul | Multiply SparseTensor (of rank 2) "A" by dense matrix "B". |
| tensorflow::ops::TakeManySparseFromTensorsMap | Converts a sparse representation into a dense tensor. |
state_ops
Members |
|
|---|---|
| tensorflow::ops::Assign | Update 'ref' by assigning 'value' to it. |
| tensorflow::ops::AssignAdd | Update 'ref' by adding 'value' to it. |
| tensorflow::ops::AssignSub | Update 'ref' by subtracting 'value' from it. |
| tensorflow::ops::CountUpTo | Increments 'ref' until it reaches 'limit'. |
| tensorflow::ops::DestroyTemporaryVariable | Destroys the temporary variable and returns its final value. |
| tensorflow::ops::IsVariableInitialized | Checks whether a tensor has been initialized. |
| tensorflow::ops::ResourceCountUpTo | Increments variable pointed to by 'resource' until it reaches 'limit'. |
| tensorflow::ops::ResourceScatterNdAdd | Applies sparse addition to individual values or slices in a Variable . |
| tensorflow::ops::ResourceScatterNdMax | TODO: add doc. |
| tensorflow::ops::ResourceScatterNdMin | TODO: add doc. |
| tensorflow::ops::ResourceScatterNdSub | Applies sparse subtraction to individual values or slices in a Variable . |
| tensorflow::ops::ResourceScatterNdUpdate |
Applies sparse
updates
to individual values or slices within a given.
|
| tensorflow::ops::ScatterAdd | Adds sparse updates to a variable reference. |
| tensorflow::ops::ScatterDiv | Divides a variable reference by sparse updates. |
| tensorflow::ops::ScatterMax |
Reduces sparse updates into a variable reference using the
max
operation.
|
| tensorflow::ops::ScatterMin |
Reduces sparse updates into a variable reference using the
min
operation.
|
| tensorflow::ops::ScatterMul | Multiplies sparse updates into a variable reference. |
| tensorflow::ops::ScatterNdAdd | Applies sparse addition to individual values or slices in a Variable . |
| tensorflow::ops::ScatterNdSub | Applies sparse subtraction to individual values or slices in a Variable . |
| tensorflow::ops::ScatterNdUpdate |
Applies sparse
updates
to individual values or slices within a given.
|
| tensorflow::ops::ScatterSub | Subtracts sparse updates to a variable reference. |
| tensorflow::ops::ScatterUpdate | Applies sparse updates to a variable reference. |
| tensorflow::ops::TemporaryVariable | Returns a tensor that may be mutated, but only persists within a single step. |
| tensorflow::ops::Variable | Holds state in the form of a tensor that persists across steps. |
string_ops
Members |
|
|---|---|
| tensorflow::ops::AsString | Converts each entry in the given tensor to strings. |
| tensorflow::ops::DecodeBase64 | Decode web-safe base64-encoded strings. |
| tensorflow::ops::EncodeBase64 | Encode strings into web-safe base64 format. |
| tensorflow::ops::ReduceJoin | Joins a string Tensor across the given dimensions. |
| tensorflow::ops::RegexFullMatch | Check if the input matches the regex pattern. |
| tensorflow::ops::RegexReplace |
Replaces matches of the
pattern
regular expression in
input
with the replacement string provided in
rewrite
.
|
| tensorflow::ops::StringFormat | Formats a string template using a list of tensors. |
| tensorflow::ops::StringJoin | Joins the strings in the given list of string tensors into one tensor;. |
| tensorflow::ops::StringLength |
String lengths of
input
.
|
| tensorflow::ops::StringLower | Converts all uppercase characters into their respective lowercase replacements. |
| tensorflow::ops::StringNGrams | Creates ngrams from ragged string data. |
| tensorflow::ops::StringSplit |
Split elements of
input
based on
delimiter
into a
SparseTensor
.
|
| tensorflow::ops::StringSplitV2 |
Split elements of
source
based on
sep
into a
SparseTensor
.
|
| tensorflow::ops::StringStrip | Strip leading and trailing whitespaces from the Tensor . |
| tensorflow::ops::StringToHashBucket | Converts each string in the input Tensor to its hash mod by a number of buckets. |
| tensorflow::ops::StringToHashBucketFast | Converts each string in the input Tensor to its hash mod by a number of buckets. |
| tensorflow::ops::StringToHashBucketStrong | Converts each string in the input Tensor to its hash mod by a number of buckets. |
| tensorflow::ops::StringUpper | Converts all lowercase characters into their respective uppercase replacements. |
| tensorflow::ops::Substr |
Return substrings from
Tensor
of strings.
|
| tensorflow::ops::UnicodeScript | Determine the script codes of a given tensor of Unicode integer code points. |
| tensorflow::ops::UnicodeTranscode | Transcode the input text from a source encoding to a destination encoding. |
| tensorflow::ops::UnsortedSegmentJoin |
Joins the elements of
inputs
based on
segment_ids
.
|
training_ops
Members |
|
|---|---|
| tensorflow::ops::ApplyAdadelta | Update '*var' according to the adadelta scheme. |
| tensorflow::ops::ApplyAdagrad | Update '*var' according to the adagrad scheme. |
| tensorflow::ops::ApplyAdagradDA | Update '*var' according to the proximal adagrad scheme. |
| tensorflow::ops::ApplyAdam | Update '*var' according to the Adam algorithm. |
| tensorflow::ops::ApplyAddSign | Update '*var' according to the AddSign update. |
| tensorflow::ops::ApplyCenteredRMSProp | Update '*var' according to the centered RMSProp algorithm. |
| tensorflow::ops::ApplyFtrl | Update '*var' according to the Ftrl-proximal scheme. |
| tensorflow::ops::ApplyFtrlV2 | Update '*var' according to the Ftrl-proximal scheme. |
| tensorflow::ops::ApplyGradientDescent | Update '*var' by subtracting 'alpha' * 'delta' from it. |
| tensorflow::ops::ApplyMomentum | Update '*var' according to the momentum scheme. |
| tensorflow::ops::ApplyPowerSign | Update '*var' according to the AddSign update. |
| tensorflow::ops::ApplyProximalAdagrad | Update '*var' and '*accum' according to FOBOS with Adagrad learning rate. |
| tensorflow::ops::ApplyProximalGradientDescent | Update '*var' as FOBOS algorithm with fixed learning rate. |
| tensorflow::ops::ApplyRMSProp | Update '*var' according to the RMSProp algorithm. |
| tensorflow::ops::ResourceApplyAdadelta | Update '*var' according to the adadelta scheme. |
| tensorflow::ops::ResourceApplyAdagrad | Update '*var' according to the adagrad scheme. |
| tensorflow::ops::ResourceApplyAdagradDA | Update '*var' according to the proximal adagrad scheme. |
| tensorflow::ops::ResourceApplyAdam | Update '*var' according to the Adam algorithm. |
| tensorflow::ops::ResourceApplyAdamWithAmsgrad | Update '*var' according to the Adam algorithm. |
| tensorflow::ops::ResourceApplyAddSign | Update '*var' according to the AddSign update. |
| tensorflow::ops::ResourceApplyCenteredRMSProp | Update '*var' according to the centered RMSProp algorithm. |
| tensorflow::ops::ResourceApplyFtrl | Update '*var' according to the Ftrl-proximal scheme. |
| tensorflow::ops::ResourceApplyFtrlV2 | Update '*var' according to the Ftrl-proximal scheme. |
| tensorflow::ops::ResourceApplyGradientDescent | Update '*var' by subtracting 'alpha' * 'delta' from it. |
| tensorflow::ops::ResourceApplyKerasMomentum | Update '*var' according to the momentum scheme. |
| tensorflow::ops::ResourceApplyMomentum | Update '*var' according to the momentum scheme. |
| tensorflow::ops::ResourceApplyPowerSign | Update '*var' according to the AddSign update. |
| tensorflow::ops::ResourceApplyProximalAdagrad | Update '*var' and '*accum' according to FOBOS with Adagrad learning rate. |
| tensorflow::ops::ResourceApplyProximalGradientDescent | Update '*var' as FOBOS algorithm with fixed learning rate. |
| tensorflow::ops::ResourceApplyRMSProp | Update '*var' according to the RMSProp algorithm. |
| tensorflow::ops::ResourceSparseApplyAdadelta | var: Should be from a Variable(). |
| tensorflow::ops::ResourceSparseApplyAdagrad | Update relevant entries in '*var' and '*accum' according to the adagrad scheme. |
| tensorflow::ops::ResourceSparseApplyAdagradDA | Update entries in '*var' and '*accum' according to the proximal adagrad scheme. |
| tensorflow::ops::ResourceSparseApplyCenteredRMSProp | Update '*var' according to the centered RMSProp algorithm. |
| tensorflow::ops::ResourceSparseApplyFtrl | Update relevant entries in '*var' according to the Ftrl-proximal scheme. |
| tensorflow::ops::ResourceSparseApplyFtrlV2 | Update relevant entries in '*var' according to the Ftrl-proximal scheme. |
| tensorflow::ops::ResourceSparseApplyKerasMomentum | Update relevant entries in '*var' and '*accum' according to the momentum scheme. |
| tensorflow::ops::ResourceSparseApplyMomentum | Update relevant entries in '*var' and '*accum' according to the momentum scheme. |
| tensorflow::ops::ResourceSparseApplyProximalAdagrad | Sparse update entries in '*var' and '*accum' according to FOBOS algorithm. |
| tensorflow::ops::ResourceSparseApplyProximalGradientDescent | Sparse update '*var' as FOBOS algorithm with fixed learning rate. |
| tensorflow::ops::ResourceSparseApplyRMSProp | Update '*var' according to the RMSProp algorithm. |
| tensorflow::ops::SparseApplyAdadelta | var: Should be from a Variable(). |
| tensorflow::ops::SparseApplyAdagrad | Update relevant entries in '*var' and '*accum' according to the adagrad scheme. |
| tensorflow::ops::SparseApplyAdagradDA | Update entries in '*var' and '*accum' according to the proximal adagrad scheme. |
| tensorflow::ops::SparseApplyCenteredRMSProp | Update '*var' according to the centered RMSProp algorithm. |
| tensorflow::ops::SparseApplyFtrl | Update relevant entries in '*var' according to the Ftrl-proximal scheme. |
| tensorflow::ops::SparseApplyFtrlV2 | Update relevant entries in '*var' according to the Ftrl-proximal scheme. |
| tensorflow::ops::SparseApplyMomentum | Update relevant entries in '*var' and '*accum' according to the momentum scheme. |
| tensorflow::ops::SparseApplyProximalAdagrad | Sparse update entries in '*var' and '*accum' according to FOBOS algorithm. |
| tensorflow::ops::SparseApplyProximalGradientDescent | Sparse update '*var' as FOBOS algorithm with fixed learning rate. |
| tensorflow::ops::SparseApplyRMSProp | Update '*var' according to the RMSProp algorithm. |
user_ops
Members |
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|---|---|
| tensorflow::ops::Fact | Output a fact about factorials. |