TensorFlow C++ Reference
array_ops
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| 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 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 min |
| tensorflow::ops::FakeQuantWithMinMaxVarsGradient | Compute gradients for a FakeQuantWithMinMaxVars operation. |
| tensorflow::ops::FakeQuantWithMinMaxVarsPerChannel | Fake-quantize the 'inputs' tensor of type float and one of the shapes: [d],. |
| 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 with values in 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. |
| 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::MatrixDiagV2 | 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::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::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
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| 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
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| 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 indexth 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
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| 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::Status | Denotes success or failure of a call in Tensorflow. |
| tensorflow::TensorBuffer | |
data_flow_ops
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| 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
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| 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::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. |
io_ops
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| 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
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| 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
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| 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::BesselI0e | Computes the Bessel i0e function of x element-wise. |
| tensorflow::ops::BesselI1e | Computes the Bessel i1e function of x element-wise. |
| 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::CompareAndBitpack | Compare values of input to threshold and pack resulting bits into a uint8. |
| 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::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::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::LinSpace | Generates values in an interval. |
| 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::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::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::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::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 (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::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 | Returns the permuted vector/tensor in the destination data format given the. |
| 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 exponential linear: exp(features) - 1 if < 0, features otherwise. |
| 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 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 | Computes softplus: log(exp(features) + 1). |
| 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::ParseSequenceExample | Transforms a vector of brain.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::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::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 | TODO: add doc. |
| 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 | TODO: add doc. |
| 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 |
|
|---|---|
| tensorflow::ops::Fact | Output a fact about factorials. |