ABS <t يمتد tnumber > | يحسب القيمة المطلقة للموتر. |
uccumulaten <t يمتد ttype > | إرجاع مجموع عناصر قائمة الموترات. |
تراكم | إرجاع عدد التدرجات التي تم تجميعها في المتراكم المحدد. |
Accumulatortakegradient <t يمتد ttype > | يستخلص متوسط التدرج في مشروطة مشروط معينة. |
acos <t يمتد ttype > | يحسب ACOs من X Element-wise. |
acosh <t يمتد ttype > | يحسب جيب التمام الزائدي العكسي لعنصر X. |
إضافة <t يمتد ttype > | إرجاع x + y العنصر. |
addmanysparsetinsorsmap | أضف "sparsetensor" إلى "sparsetensorsmap" ، إرجاع ". |
addn <t يمتد ttype > | إضافة جميع الإدخال العنصر الحكيم. |
AddSparSetInsorsMap | أضف "sparsetensor" إلى "sparsetensorsmap" إرجاع مقبضه. |
ضبط contrast <t يمتد tnumber > | اضبط تباين صورة واحدة أو أكثر. |
adjusthue <t يمتد tnumber > | اضبط صورة صورة واحدة أو أكثر. |
ضبط التشبع <t يمتد tnumber > | اضبط تشبع صورة واحدة أو أكثر. |
الجميع | يحسب "المنطق و" العناصر عبر أبعاد الموتر. |
allreduce <t يمتد tnumber > | يقلل بشكل متبادل موترات متعددة من نفس النوع والشكل. |
alltoall <t يمتد ttype > | OP لتبادل البيانات عبر النسخ المتماثلة TPU. |
زاوية <U يمتد tnumber > | إرجاع حجة الرقم المعقد. |
أي | يحسب "المنطق أو" للعناصر عبر أبعاد التوتر. |
تطبيق applicaDamax <t يمتد ttype > | تحديث "*var" وفقًا لخوارزمية Adamax. |
Applyadadelta <t يمتد ttype > | تحديث "*var" وفقًا لمخطط Adadelta. |
تطبيق applicadagrad <t يمتد ttype > | تحديث "*var" وفقًا لمخطط Adagrad. |
Applyadagradda <t يمتد ttype > | تحديث "*var" وفقًا لمخطط adagrad القريب. |
applicaDavArv2 <t يمتد ttype > | تحديث "*var" وفقًا لمخطط Adagrad. |
تطبيق applicaDam <t يمتد ttype > | تحديث "*var" وفقًا لخوارزمية آدم. |
تطبيق applicaddsign <t يمتد ttype > | تحديث "*var" وفقًا لتحديث AddSign. |
ApplyCeneredRmsprop <t يمتد ttype > | تحديث "*var" وفقًا لخوارزمية RMSPROP المتمركزة. |
applicftrl <t يمتد ttype > | تحديث "*var" وفقًا لمخطط Ftrl-Proxyal. |
applicgradientdescent <t يمتد ttype > | قم بتحديث '*var' بطرح 'alpha' * 'delta' منه. |
applickmomentum <t يمتد ttype > | تحديث "*var" وفقًا لمخطط الزخم. |
ApplyPowerSign <t يمتد ttype > | تحديث "*var" وفقًا لتحديث AddSign. |
applicproximaladagrad <t يمتد ttype > | تحديث "*var" و "*uccum" وفقًا لـ FOBOS مع معدل التعلم Adagrad. |
ApplyProximalgradientDescent <t يمتد ttype > | قم بتحديث '*var' كخوارزمية FOBOS بمعدل تعلم ثابت. |
ApplyRmsProp <t يمتد ttype > | قم بتحديث '*var' وفقًا لخوارزمية RMSProp. |
تقريبي | إرجاع قيمة الحقيقة لـ ABS (xy) <عناصر التسامح. |
Argmax <v يمتد tnumber > | إرجاع الفهرس مع أكبر قيمة عبر أبعاد الموتر. |
Argmin <v يمتد tnumber > | إرجاع الفهرس مع أصغر قيمة عبر أبعاد الموتر. |
كسلسلة | يحول كل إدخال في الموتر المعطى إلى الأوتار. |
asin <t يمتد ttype > | يحسب الجيب العكسي trignometric من X Element-wise. |
Asinh <t يمتد ttype > | يحسب الجيب الزائدي العكسي من X Element-wise. |
assertcardinalitydataset | |
AssertNextDataset | |
تعيين <t يمتد ttype > | تحديث "المرجع" عن طريق تعيين "قيمة" لها. |
issignadd <t يمتد ttype > | تحديث "المرجع" عن طريق إضافة "قيمة" لها. |
ensigsub <t يمتد ttype > | قم بتحديث "المرجع" بطرح "القيمة" منه. |
atan <t يمتد ttype > | يحسب الظل العكسي trignometric لعنصر x. |
atan2 <t يمتد tnumber > | يحسب arctangent من `y/x` العنصر الحكيم ، احترام علامات الحجج. |
atanh <t يمتد ttype > | يحسب عكس الظل الزائدي من X Element-wise. |
AudiospectRogram | ينتج تصور بيانات الصوت بمرور الوقت. |
Audiosummary | يخرج مخزن بروتوكول "ملخص" مع الصوت. |
AutoshardDataset | ينشئ مجموعة بيانات تقوي مجموعة بيانات الإدخال. |
Avgpool <t يمتد tnumber > | يؤدي متوسط التجميع على المدخلات. |
AVGPOOL3D <T يمتد tnumber > | يؤدي التجميع المتوسط ثلاثي الأبعاد على المدخلات. |
AVGPOOL3DGRAW <T يمتد tnumber > | يحسب التدرجات من متوسط وظيفة التجميع. |
AvgPoolgrad <T يمتد tnumber > | يحسب التدرجات من وظيفة التجميع المتوسطة. |
Bandpart <t يمتد ttype > | انسخ الموتر يضع كل شيء خارج نطاق مركزي في كل مصفوفة الأعمق إلى الصفر. |
BandedTriangularsolve <t يمتد ttype > | |
حاجز | يحدد الحاجز الذي يستمر عبر عمليات إعدام الرسوم البيانية المختلفة. |
BarrierIncompletesize | يحسب عدد العناصر غير المكتملة في الحاجز المحدد. |
BarrierReadySize | يحسب عدد العناصر الكاملة في الحاجز المحدد. |
BatchCholesky <t يمتد tnumber > | |
BatchCholeskygrad <T يمتد tnumber > | |
batchdataset | ينشئ مجموعة بيانات تجمع عناصر `batch_size` من `input_dataset`. |
Batchfft | |
Batchfft2d | |
Batchfft3d | |
batchifft | |
batchifft2d | |
batchifft3d | |
Batchmatmul <t يمتد ttype > | يضاعف شرائح اثنين من الموترات على دفعات. |
BatchMatrixBandpart <t يمتد ttype > | |
batchmatrixDeREminant <t يمتد ttype > | |
BatchMatrixDiag <t يمتد ttype > | |
BatchMatrixDiagpart <t يمتد ttype > | |
batchmatrixinverse <t يمتد tnumber > | |
BatchMatrixSetDiag <t يمتد ttype > | |
BatchMatrixSolve <t يمتد tnumber > | |
BatchMatrixSolvels <t يمتد tnumber > | |
batchmatrixtriangularsolve <t يمتد tnumber > | |
batchnormwithglobalnormization <t يمتد ttype > | تطبيع الدُفعات. |
batchtospace <t يمتد ttype > | BatchToSpace للموترات رباعية الأبعاد من النوع T. |
batchtospacend <t يمتد ttype > | Batchtospace ل ND Tensors من النوع T. |
Besseli0 <t يمتد tnumber > | |
Besseli0e <t يمتد tnumber > | |
Besseli1 <t يمتد tnumber > | |
Besseli1e <t يمتد tnumber > | |
Besselj0 <t يمتد tnumber > | |
Besselj1 <t يمتد tnumber > | |
Besselk0 <t يمتد tnumber > | |
Besselk0e <t يمتد tnumber > | |
Besselk1 <t يمتد tnumber > | |
Besselk1e <t يمتد tnumber > | |
Bessely0 <T يمتد tnumber > | |
Bessely1 <T يمتد tnumber > | |
Betainc <t يمتد tnumber > | قم بحساب BETA غير المكتملة غير المكتملة \\(I_x(a, b)\\). |
التحيز <t يمتد ttype > | يضيف "التحيز" إلى "القيمة". |
BiasAddgrader <t يمتد ttype > | العملية المتخلفة لـ "Biasadd" على موتر "التحيز". |
Bincount <t يمتد tnumber > | يحسب عدد حوادث كل قيمة في مجموعة عدد صحيح. |
bitcast <u يمتد ttype > | يقوم ببث موتر من نوع إلى آخر دون نسخ البيانات. |
BitWiseand <t يمتد tnumber > | elementwise يحسب bitwise و `x` و` y`. |
bitwiseor <t يمتد tnumber > | Elementwise يحسب bitwise أو `x` و` y`. |
bitwisexor <t يمتد tnumber > | يقوم Elementwise بحساب XOR bitwise of `x` و` y`. |
BOOSTEDTREESAGGGERESTATSATS | Aggregates the summary of accumulated stats for the batch. |
BoostedTreesCenterBias | Calculates the prior from the training data (the bias) and fills in the first node with the logits' prior. |
BoostedTreesEnsembleResourceHandleOp | Creates a handle to a BoostedTreesEnsembleResource |
BoostedTreesExampleDebugOutputs | Debugging/model interpretability outputs for each example. |
BoostedTreesMakeStatsSummary | Makes the summary of accumulated stats for the batch. |
BoostedTreesPredict | Runs multiple additive regression ensemble predictors on input instances and computes the logits. |
BoostedTreesQuantileStreamResourceHandleOp | Creates a handle to a BoostedTreesQuantileStreamResource. |
BroadcastDynamicShape <T extends TNumber > | Return the shape of s0 op s1 with broadcast. |
BroadcastRecv <T extends TType > | Receives a tensor value broadcast from another device. |
BroadcastSend <T extends TType > | Broadcasts a tensor value to one or more other devices. |
BroadcastTo <T extends TType > | Broadcast an array for a compatible shape. |
Bucketize | Bucketizes 'input' based on 'boundaries'. |
BytesProducedStatsDataset | Records the bytes size of each element of `input_dataset` in a StatsAggregator. |
CSRSparseMatrixToDense <T يمتد TType > | قم بتحويل CSRSparseMatrix (ربما على دفعات) إلى كثيف. |
CSVDataset | |
CSVDatasetV2 | |
CacheDataset | Creates a dataset that caches elements from `input_dataset`. |
CacheDatasetV2 | |
Cast <U extends TType > | Cast x of type SrcT to y of DstT. |
Ceil <T extends TNumber > | Returns element-wise smallest integer not less than x. |
CheckNumerics <T extends TNumber > | يتحقق الموتر من قيم NaN و-Inf و+Inf. |
Cholesky <T extends TType > | Computes the Cholesky decomposition of one or more square matrices. |
CholeskyGrad <T extends TNumber > | Computes the reverse mode backpropagated gradient of the Cholesky algorithm. |
ChooseFastestDataset | |
ClipByValue <T extends TType > | Clips tensor values to a specified min and max. |
ClusterOutput <T extends TType > | Operator that connects the output of an XLA computation to other consumer graph nodes. |
CollectiveGather <T extends TNumber > | يتراكم بشكل متبادل عدة موترات من نفس النوع والشكل. |
CollectivePermute <T extends TType > | An Op to permute tensors across replicated TPU instances. |
CompareAndBitpack | Compare values of `input` to `threshold` and pack resulting bits into a `uint8`. |
CompilationResult | Returns the result of a TPU compilation. |
Complex <U extends TType > | Converts two real numbers to a complex number. |
ComplexAbs <U extends TNumber > | Computes the complex absolute value of a tensor. |
CompressElement | Compresses a dataset element. |
ComputeBatchSize | Computes the static batch size of a dataset sans partial batches. |
Concat <T extends TType > | Concatenates tensors along one dimension. |
ConcatenateDataset | Creates a dataset that concatenates `input_dataset` with `another_dataset`. |
ConditionalAccumulator | A conditional accumulator for aggregating gradients. |
ConfigureDistributedTPU | Sets up the centralized structures for a distributed TPU system. |
Conj <T extends TType > | Returns the complex conjugate of a complex number. |
ConjugateTranspose <T extends TType > | Shuffle dimensions of x according to a permutation and conjugate the result. |
Constant <T extends TType > | An operator producing a constant value. |
Conv <T extends TType > | Wraps the XLA ConvGeneralDilated operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#conv_convolution . |
Conv2d <T extends TNumber > | Computes a 2-D convolution given 4-D `input` and `filter` tensors. |
Conv2dBackpropFilter <T extends TNumber > | Computes the gradients of convolution with respect to the filter. |
Conv2dBackpropInput <T extends TNumber > | Computes the gradients of convolution with respect to the input. |
Conv3d <T extends TNumber > | Computes a 3-D convolution given 5-D `input` and `filter` tensors. |
Conv3dBackpropFilter <T extends TNumber > | Computes the gradients of 3-D convolution with respect to the filter. |
Conv3dBackpropInput <U extends TNumber > | يحسب تدرجات الالتواء ثلاثي الأبعاد فيما يتعلق بالإدخال. |
Copy <T extends TType > | Copy a tensor from CPU-to-CPU or GPU-to-GPU. |
CopyHost <T extends TType > | Copy a tensor to host. |
Cos <T extends TType > | Computes cos of x element-wise. |
Cosh <T extends TType > | Computes hyperbolic cosine of x element-wise. |
CountUpTo <T extends TNumber > | Increments 'ref' until it reaches 'limit'. |
CropAndResize | Extracts crops from the input image tensor and resizes them. |
CropAndResizeGradBoxes | Computes the gradient of the crop_and_resize op wrt the input boxes tensor. |
CropAndResizeGradImage <T extends TNumber > | Computes the gradient of the crop_and_resize op wrt the input image tensor. |
Cross <T extends TNumber > | حساب المنتج الاتجاهي الزوجي. |
CrossReplicaSum <T extends TNumber > | An Op to sum inputs across replicated TPU instances. |
CudnnRNNCanonicalToParams <T extends TNumber > | Converts CudnnRNN params from canonical form to usable form. |
CudnnRnnParamsSize <U extends TNumber > | Computes size of weights that can be used by a Cudnn RNN model. |
Cumprod <T extends TType > | حساب المنتج التراكمي للموتر `x` على طول `المحور`. |
Cumsum <T extends TType > | Compute the cumulative sum of the tensor `x` along `axis`. |
CumulativeLogsumexp <T extends TNumber > | حساب المنتج التراكمي للموتر `x` على طول `المحور`. |
DataFormatDimMap <T extends TNumber > | إرجاع فهرس البعد بتنسيق بيانات الوجهة المعطى للرقم الموجود تنسيق البيانات المصدر. |
DataFormatVecPermute <T extends TNumber > | Permute input tensor from `src_format` to `dst_format`. |
DataServiceDataset | |
DatasetCardinality | تُرجع العلاقة الأساسية لـ "input_dataset". |
DatasetFromGraph | Creates a dataset from the given `graph_def`. |
DatasetToGraph | Returns a serialized GraphDef representing `input_dataset`. |
Dawsn <T extends TNumber > | |
DebugGradientIdentity <T extends TType > | الهوية المرجعية لتصحيح التدرج. |
DebugGradientRefIdentity <T extends TType > | الهوية المرجعية لتصحيح التدرج. |
DebugIdentity <T extends TType > | Debug Identity V2 Op. |
DebugNanCount | Debug NaN Value Counter Op. |
DebugNumericsSummary <U extends TNumber > | تصحيح ملخص رقمي V2 Op. |
DecodeAndCropJpeg | Decode and Crop a JPEG-encoded image to a uint8 tensor. |
DecodeBase64 | فك تشفير السلاسل المشفرة باستخدام Base64 الآمنة على الويب. |
DecodeBmp | Decode the first frame of a BMP-encoded image to a uint8 tensor. |
DecodeCompressed | Decompress strings. |
DecodeGif | قم بفك تشفير إطار (إطارات) الصورة المشفرة بـ GIF إلى موتر uint8. |
DecodeImage <T extends TNumber > | Function for decode_bmp, decode_gif, decode_jpeg, and decode_png. |
DecodeJpeg | Decode a JPEG-encoded image to a uint8 tensor. |
DecodeJsonExample | Convert JSON-encoded Example records to binary protocol buffer strings. |
DecodePaddedRaw <T extends TNumber > | Reinterpret the bytes of a string as a vector of numbers. |
DecodePng <T extends TNumber > | Decode a PNG-encoded image to a uint8 or uint16 tensor. |
DecodeRaw <T extends TType > | Reinterpret the bytes of a string as a vector of numbers. |
DeepCopy <T extends TType > | Makes a copy of `x`. |
DenseBincount <U extends TNumber > | Counts the number of occurrences of each value in an integer array. |
DenseToCSRSparseMatrix | يحول موترًا كثيفًا إلى CSRSparseMatrix (ربما على دفعات). |
DenseToSparseBatchDataset | ينشئ مجموعة بيانات تجمع عناصر الإدخال في SparseTensor. |
DepthToSpace <T extends TType > | DepthToSpace for tensors of type T. |
DepthwiseConv2dNative <T extends TNumber > | Computes a 2-D depthwise convolution given 4-D `input` and `filter` tensors. |
DepthwiseConv2dNativeBackpropFilter <T extends TNumber > | Computes the gradients of depthwise convolution with respect to the filter. |
DepthwiseConv2dNativeBackpropInput <T extends TNumber > | Computes the gradients of depthwise convolution with respect to the input. |
Dequantize | Takes the packed uint32 input and unpacks the input to uint8 to do Dequantization on device. |
DestroyTemporaryVariable <T extends TType > | Destroys the temporary variable and returns its final value. |
Det <T extends TType > | Computes the determinant of one or more square matrices. |
DeviceIndex | Return the index of device the op runs. |
Digamma <T extends TNumber > | Computes Psi, the derivative of Lgamma (the log of the absolute value of `Gamma(x)`), element-wise. |
Dilation2d <T extends TNumber > | Computes the grayscale dilation of 4-D `input` and 3-D `filter` tensors. |
Dilation2dBackpropFilter <T extends TNumber > | Computes the gradient of morphological 2-D dilation with respect to the filter. |
Dilation2dBackpropInput <T extends TNumber > | Computes the gradient of morphological 2-D dilation with respect to the input. |
DirectedInterleaveDataset | A substitute for `InterleaveDataset` on a fixed list of `N` datasets. |
Div <T extends TType > | Returns x / y element-wise. |
DivNoNan <T extends TType > | Returns 0 if the denominator is zero. |
Dot <T extends TType > | يلتف مشغل XLA Dotgener، الموثق في https://www.tensorflow.org/performance/xla/operation_semantics#dotgeneral . |
DrawBoundingBoxes <T extends TNumber > | Draw bounding boxes on a batch of images. |
DummyIterationCounter | |
DummyMemoryCache | |
DummySeedGenerator | |
DynamicSlice <T extends TType > | Wraps the XLA DynamicSlice operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dynamicslice . |
DynamicStitch <T extends TType > | قم بتشذير القيم من موترات "البيانات" في موتر واحد. |
DynamicUpdateSlice <T extends TType > | Wraps the XLA DynamicUpdateSlice operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#dynamicupdateslice . |
EditDistance | Computes the (possibly normalized) Levenshtein Edit Distance. |
Einsum <T extends TType > | An op which supports basic einsum op with 2 inputs and 1 output. |
Elu <T extends TNumber > | Computes exponential linear: `exp(features) - 1` if < 0, `features` otherwise. |
EluGrad <T extends TNumber > | Computes gradients for the exponential linear (Elu) operation. |
EmbeddingActivations | عملية تتيح التمييز بين زخارف TPU. |
Empty <T extends TType > | Creates a tensor with the given shape. |
EmptyTensorList | Creates and returns an empty tensor list. |
EmptyTensorMap | Creates and returns an empty tensor map. |
EncodeBase64 | Encode strings into web-safe base64 format. |
EncodeJpeg | JPEG-encode an image. |
EncodeJpegVariableQuality | JPEG encode input image with provided compression quality. |
EncodePng | PNG-encode an image. |
EncodeProto | The op serializes protobuf messages provided in the input tensors. |
EncodeWav | Encode audio data using the WAV file format. |
EnsureShape <T extends TType > | Ensures that the tensor's shape matches the expected shape. |
Enter <T extends TType > | Creates or finds a child frame, and makes `data` available to the child frame. |
متساوي | Returns the truth value of (x == y) element-wise. |
Erf <T extends TNumber > | Computes the Gauss error function of `x` element-wise. |
Erfc <T extends TNumber > | Computes the complementary error function of `x` element-wise. |
EuclideanNorm <T extends TType > | يحسب القاعدة الإقليدية للعناصر عبر أبعاد الموتر. |
Exit <T extends TType > | Exits the current frame to its parent frame. |
Exp <T extends TType > | Computes exponential of x element-wise. |
ExpandDims <T extends TType > | Inserts a dimension of 1 into a tensor's shape. |
Expint <T extends TNumber > | |
Expm1 <T extends TType > | Computes `exp(x) - 1` element-wise. |
ExtractGlimpse | Extracts a glimpse from the input tensor. |
ExtractImagePatches <T extends TType > | Extract `patches` from `images` and put them in the "depth" output dimension. |
ExtractJpegShape <T extends TNumber > | Extract the shape information of a JPEG-encoded image. |
ExtractVolumePatches <T extends TNumber > | Extract `patches` from `input` and put them in the `"depth"` output dimension. |
حقيقة | Output a fact about factorials. |
FakeQuantWithMinMaxArgs | Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type. |
FakeQuantWithMinMaxArgsGradient | Compute gradients for a FakeQuantWithMinMaxArgs operation. |
FakeQuantWithMinMaxVars | Fake-quantize the 'inputs' tensor of type float via global float scalars Fake-quantize the `inputs` tensor of type float via global float scalars `min` and `max` to `outputs` tensor of same shape as `inputs`. |
FakeQuantWithMinMaxVarsPerChannel | Fake-quantize the 'inputs' tensor of type float via per-channel floats Fake-quantize the `inputs` tensor of type float per-channel and one of the shapes: `[d]`, `[b, d]` `[b, h, w, d]` via per-channel floats `min` and `max` of shape `[d]` to `outputs` tensor of same shape as `inputs`. |
Fft <T extends TType > | Fast Fourier transform. |
Fft2d <T extends TType > | 2D fast Fourier transform. |
Fft3d <T extends TType > | 3D fast Fourier transform. |
FifoQueue | A queue that produces elements in first-in first-out order. |
Fill <U extends TType > | Creates a tensor filled with a scalar value. |
FilterByLastComponentDataset | Creates a dataset containing elements of first component of `input_dataset` having true in the last component. |
بصمة | Generates fingerprint values. |
FixedLengthRecordDataset | |
FixedLengthRecordReader | A Reader that outputs fixed-length records from a file. |
Floor <T extends TNumber > | Returns element-wise largest integer not greater than x. |
FloorDiv <T extends TType > | Returns x // y element-wise. |
FloorMod <T extends TNumber > | إرجاع باقي القسمة حسب العناصر. |
FractionalAvgPoolGrad <T extends TNumber > | Computes gradient of the FractionalAvgPool function. |
FractionalMaxPoolGrad <T extends TNumber > | Computes gradient of the FractionalMaxPool function. |
FresnelCos <T extends TNumber > | |
FresnelSin <T extends TNumber > | |
FusedPadConv2d <T extends TNumber > | Performs a padding as a preprocess during a convolution. |
FusedResizeAndPadConv2d <T extends TNumber > | Performs a resize and padding as a preprocess during a convolution. |
Gather <T extends TType > | Wraps the XLA Gather operator documented at https://www.tensorflow.org/xla/operation_semantics#gather |
GatherNd <T extends TType > | Gather slices from `params` into a Tensor with shape specified by `indices`. |
GatherV2 <T extends TNumber > | يتراكم بشكل متبادل عدة موترات من نفس النوع والشكل. |
GetSessionHandle | Store the input tensor in the state of the current session. |
GetSessionTensor <T extends TType > | Get the value of the tensor specified by its handle. |
أكبر | Returns the truth value of (x > y) element-wise. |
GreaterEqual | Returns the truth value of (x >= y) element-wise. |
GuaranteeConst <T extends TType > | Gives a guarantee to the TF runtime that the input tensor is a constant. |
HashTable | Creates a non-initialized hash table. |
HistogramFixedWidth <U extends TNumber > | Return histogram of values. |
HistogramSummary | Outputs a `Summary` protocol buffer with a histogram. |
HsvToRgb <T extends TNumber > | Convert one or more images from HSV to RGB. |
Identity <T extends TType > | Return a tensor with the same shape and contents as the input tensor or value. |
IdentityReader | A Reader that outputs the queued work as both the key and value. |
Ifft <T extends TType > | Inverse fast Fourier transform. |
Ifft2d <T extends TType > | Inverse 2D fast Fourier transform. |
Ifft3d <T extends TType > | Inverse 3D fast Fourier transform. |
Igamma <T extends TNumber > | Compute the lower regularized incomplete Gamma function `P(a, x)`. |
IgammaGradA <T extends TNumber > | Computes the gradient of `igamma(a, x)` wrt `a`. |
Igammac <T extends TNumber > | Compute the upper regularized incomplete Gamma function `Q(a, x)`. |
IgnoreErrorsDataset | Creates a dataset that contains the elements of `input_dataset` ignoring errors. |
Imag <U extends TNumber > | Returns the imaginary part of a complex number. |
ImageProjectiveTransformV2 <T extends TNumber > | Applies the given transform to each of the images. |
ImageProjectiveTransformV3 <T extends TNumber > | Applies the given transform to each of the images. |
ImageSummary | Outputs a `Summary` protocol buffer with images. |
ImmutableConst <T extends TType > | إرجاع موتر غير قابل للتغيير من منطقة الذاكرة. |
InTopK | Says whether the targets are in the top `K` predictions. |
InfeedDequeue <T extends TType > | A placeholder op for a value that will be fed into the computation. |
InplaceAdd <T extends TType > | Adds v into specified rows of x. |
InplaceSub <T extends TType > | Subtracts `v` into specified rows of `x`. |
InplaceUpdate <T extends TType > | Updates specified rows 'i' with values 'v'. |
Inv <T extends TType > | Computes the inverse of one or more square invertible matrices or their adjoints (conjugate transposes). |
InvGrad <T extends TType > | Computes the gradient for the inverse of `x` wrt its input. |
Invert <T extends TNumber > | Invert (flip) each bit of supported types; for example, type `uint8` value 01010101 becomes 10101010. |
InvertPermutation <T extends TNumber > | Computes the inverse permutation of a tensor. |
Irfft <U extends TNumber > | Inverse real-valued fast Fourier transform. |
Irfft2d <U extends TNumber > | Inverse 2D real-valued fast Fourier transform. |
Irfft3d <U extends TNumber > | Inverse 3D real-valued fast Fourier transform. |
IsBoostedTreesEnsembleInitialized | Checks whether a tree ensemble has been initialized. |
IsBoostedTreesQuantileStreamResourceInitialized | Checks whether a quantile stream has been initialized. |
IsFinite | Returns which elements of x are finite. |
IsInf | إرجاع عناصر x التي تمثل Inf. |
IsNan | Returns which elements of x are NaN. |
IsVariableInitialized | Checks whether a tensor has been initialized. |
التكرار | |
IteratorFromStringHandle | |
IteratorGetDevice | Returns the name of the device on which `resource` has been placed. |
IteratorGetNextAsOptional | Gets the next output from the given iterator as an Optional variant. |
IteratorToStringHandle | Converts the given `resource_handle` representing an iterator to a string. |
ينضم | Joins the strings in the given list of string tensors into one tensor; with the given separator (default is an empty separator). |
KMC2ChainInitialization | إرجاع فهرس نقطة البيانات التي يجب إضافتها إلى المجموعة الأولية. |
KmeansPlusPlusInitialization | Selects num_to_sample rows of input using the KMeans++ criterion. |
KthOrderStatistic | Computes the Kth order statistic of a data set. |
L2Loss <T extends TNumber > | L2 Loss. |
LMDBDataset | Creates a dataset that emits the key-value pairs in one or more LMDB files. |
LatencyStatsDataset | Records the latency of producing `input_dataset` elements in a StatsAggregator. |
LeakyRelu <T extends TNumber > | Computes rectified linear: `max(features, features * alpha)`. |
LeakyReluGrad <T extends TNumber > | Computes rectified linear gradients for a LeakyRelu operation. |
LeftShift <T extends TNumber > | Elementwise computes the bitwise left-shift of `x` and `y`. |
أقل | Returns the truth value of (x < y) element-wise. |
LessEqual | Returns the truth value of (x <= y) element-wise. |
Lgamma <T extends TNumber > | Computes the log of the absolute value of `Gamma(x)` element-wise. |
LinSpace <T extends TNumber > | يولد القيم في فترة زمنية. |
LmdbDataset | |
LmdbReader | A Reader that outputs the records from a LMDB file. |
LoadAndRemapMatrix | تحميل مصفوفة ثنائية الأبعاد (مصفوفة) باسم "old_tensor_name" من نقطة التفتيش في `ckpt_path` ومن المحتمل أن يعيد ترتيب صفوفه وأعمدته باستخدام عمليات إعادة التعيين المحددة. |
LocalResponseNormalization <T extends TNumber > | Local Response Normalization. |
LocalResponseNormalizationGrad <T extends TNumber > | Gradients for Local Response Normalization. |
Log <T extends TType > | Computes natural logarithm of x element-wise. |
Log1p <T extends TType > | Computes natural logarithm of (1 + x) element-wise. |
LogSoftmax <T extends TNumber > | Computes log softmax activations. |
LogicalAnd | Returns the truth value of x AND y element-wise. |
LogicalNot | Returns the truth value of `NOT x` element-wise. |
LogicalOr | Returns the truth value of x OR y element-wise. |
LookupTableFind <U extends TType > | Looks up keys in a table, outputs the corresponding values. |
LookupTableSize | Computes the number of elements in the given table. |
LoopCond | Forwards the input to the output. |
أدنى | Converts all uppercase characters into their respective lowercase replacements. |
LowerBound <U extends TNumber > | يتم تطبيق Lower_bound(sorted_search_values,values) على طول كل صف. |
MakeUnique | اجعل كافة العناصر في البعد غير الدفعي فريدة من نوعها، ولكن \"قريبة\" منها قيمتها الأولية. |
MapIncompleteSize | Op returns the number of incomplete elements in the underlying container. |
حجم الخريطة | تقوم Op بإرجاع عدد العناصر الموجودة في الحاوية الأساسية. |
MatMul <T extends TType > | Multiply the matrix "a" by the matrix "b". |
MatchingFiles | Returns the set of files matching one or more glob patterns. |
MatchingFilesDataset | |
MatrixDiag <T extends TType > | Returns a batched diagonal tensor with given batched diagonal values. |
MatrixDiagPart <T extends TType > | Returns the batched diagonal part of a batched tensor. |
MatrixDiagPartV3 <T extends TType > | Returns the batched diagonal part of a batched tensor. |
MatrixDiagV3 <T extends TType > | Returns a batched diagonal tensor with given batched diagonal values. |
MatrixLogarithm <T extends TType > | Computes the matrix logarithm of one or more square matrices: \\(log(exp(A)) = A\\) This op is only defined for complex matrices. |
MatrixSetDiag <T extends TType > | Returns a batched matrix tensor with new batched diagonal values. |
MatrixSolveLs <T extends TType > | Solves one or more linear least-squares problems. |
Max <T extends TType > | Computes the maximum of elements across dimensions of a tensor. |
MaxIntraOpParallelismDataset | Creates a dataset that overrides the maximum intra-op parallelism. |
MaxPool <T extends TType > | Performs max pooling on the input. |
MaxPool3d <T extends TNumber > | Performs 3D max pooling on the input. |
MaxPool3dGrad <U extends TNumber > | Computes gradients of 3D max pooling function. |
MaxPool3dGradGrad <T extends TNumber > | Computes second-order gradients of the maxpooling function. |
MaxPoolGrad <T extends TNumber > | Computes gradients of the maxpooling function. |
MaxPoolGradGrad <T extends TNumber > | Computes second-order gradients of the maxpooling function. |
MaxPoolGradGradWithArgmax <T extends TNumber > | Computes second-order gradients of the maxpooling function. |
MaxPoolGradWithArgmax <T extends TNumber > | Computes gradients of the maxpooling function. |
Maximum <T extends TNumber > | Returns the max of x and y (ie |
Mean <T extends TType > | Computes the mean of elements across dimensions of a tensor. |
MergeSummary | Merges summaries. |
Mfcc | Transforms a spectrogram into a form that's useful for speech recognition. |
Min <T extends TType > | Computes the minimum of elements across dimensions of a tensor. |
Minimum <T extends TNumber > | Returns the min of x and y (ie |
MirrorPad <T extends TType > | Pads a tensor with mirrored values. |
MirrorPadGrad <T extends TType > | Gradient op for `MirrorPad` op. |
Mod <T extends TNumber > | إرجاع باقي القسمة حسب العناصر. |
ModelDataset | Identity transformation that models performance. |
Mul <T extends TType > | Returns x * y element-wise. |
MulNoNan <T extends TType > | Returns x * y element-wise. |
MultiDeviceIterator | Creates a MultiDeviceIterator resource. |
MultiDeviceIteratorFromStringHandle | Generates a MultiDeviceIterator resource from its provided string handle. |
MultiDeviceIteratorInit | Initializes the multi device iterator with the given dataset. |
MultiDeviceIteratorToStringHandle | Produces a string handle for the given MultiDeviceIterator. |
Multinomial <U extends TNumber > | Draws samples from a multinomial distribution. |
MutableDenseHashTable | Creates an empty hash table that uses tensors as the backing store. |
MutableHashTable | إنشاء جدول تجزئة فارغ. |
MutableHashTableOfTensors | إنشاء جدول تجزئة فارغ. |
Mutex | Creates a Mutex resource that can be locked by `MutexLock`. |
MutexLock | Locks a mutex resource. |
NcclAllReduce <T extends TNumber > | Outputs a tensor containing the reduction across all input tensors. |
NcclBroadcast <T extends TNumber > | Sends `input` to all devices that are connected to the output. |
NcclReduce <T extends TNumber > | Reduces `input` from `num_devices` using `reduction` to a single device. |
Ndtri <T extends TNumber > | |
Neg <T extends TType > | Computes numerical negative value element-wise. |
NextAfter <T extends TNumber > | Returns the next representable value of `x1` in the direction of `x2`, element-wise. |
NextIteration <T extends TType > | Makes its input available to the next iteration. |
NonDeterministicInts <U extends TType > | Non-deterministically generates some integers. |
NonMaxSuppressionWithOverlaps | يختار بجشع مجموعة فرعية من المربعات المحيطة بترتيب تنازلي للنتيجة، pruning away boxes that have high overlaps with previously selected boxes. |
NonSerializableDataset | |
غير متساوي | Returns the truth value of (x != y) element-wise. |
NthElement <T extends TNumber > | Finds values of the `n`-th order statistic for the last dimension. |
OneHot <U extends TType > | إرجاع موتر واحد ساخن. |
Ones <T extends TType > | An operator creating a constant initialized with ones of the shape given by `dims`. |
OnesLike <T extends TType > | Returns a tensor of ones with the same shape and type as x. |
OptimizeDataset | Creates a dataset by applying optimizations to `input_dataset`. |
OptimizeDatasetV2 | Creates a dataset by applying related optimizations to `input_dataset`. |
OptionalFromValue | Constructs an Optional variant from a tuple of tensors. |
OptionalHasValue | Returns true if and only if the given Optional variant has a value. |
OptionalNone | Creates an Optional variant with no value. |
OrderedMapIncompleteSize | Op returns the number of incomplete elements in the underlying container. |
OrderedMapSize | تقوم Op بإرجاع عدد العناصر الموجودة في الحاوية الأساسية. |
OrdinalSelector | A TPU core selector Op. |
OutfeedDequeue <T extends TType > | Retrieves a single tensor from the computation outfeed. |
OutfeedDequeueV2 <T extends TType > | Retrieves a single tensor from the computation outfeed. |
Output <T extends TType > | A symbolic handle to a tensor produced by an Operation . |
Pad <T extends TType > | Wraps the XLA Pad operator, documented at https://www.tensorflow.org/performance/xla/operation_semantics#pad . |
PaddedBatchDataset | Creates a dataset that batches and pads `batch_size` elements from the input. |
PaddingFifoQueue | A queue that produces elements in first-in first-out order. |
ParallelConcat <T extends TType > | Concatenates a list of `N` tensors along the first dimension. |
ParallelDynamicStitch <T extends TType > | قم بتشذير القيم من موترات "البيانات" في موتر واحد. |
ParameterizedTruncatedNormal <U extends TNumber > | Outputs random values from a normal distribution. |
ParseExampleDataset | يحول `input_dataset` الذي يحتوي على نماذج `Example` كمتجهات لـ DT_STRING إلى مجموعة بيانات مكونة من كائنات `Tensor` أو `SparseTensor` التي تمثل الميزات التي تم تحليلها. |
ParseTensor <T extends TType > | Transforms a serialized tensorflow.TensorProto proto into a Tensor. |
PartitionedInput <T extends TType > | An op that groups a list of partitioned inputs together. |
Placeholder <T extends TType > | A placeholder op for a value that will be fed into the computation. |
PlaceholderWithDefault <T extends TType > | A placeholder op that passes through `input` when its output is not fed. |
Polygamma <T extends TNumber > | Compute the polygamma function \\(\psi^{(n)}(x)\\). |
PopulationCount | Computes element-wise population count (aka |
Pow <T extends TType > | Computes the power of one value to another. |
PrefetchDataset | Creates a dataset that asynchronously prefetches elements from `input_dataset`. |
Prelinearize | An op which linearizes one Tensor value to an opaque variant tensor. |
PrelinearizeTuple | An op which linearizes multiple Tensor values to an opaque variant tensor. |
PreventGradient <T extends TType > | An identity op that triggers an error if a gradient is requested. |
طابور الأولوية | A queue that produces elements sorted by the first component value. |
PrivateThreadPoolDataset | Creates a dataset that uses a custom thread pool to compute `input_dataset`. |
Prod <T extends TType > | Computes the product of elements across dimensions of a tensor. |
QuantizeAndDequantize <T extends TNumber > | Quantizes then dequantizes a tensor. |
QuantizeAndDequantizeV3 <T extends TNumber > | Quantizes then dequantizes a tensor. |
QuantizeAndDequantizeV4 <T extends TNumber > | Returns the gradient of `quantization.QuantizeAndDequantizeV4`. |
QuantizedMatMulWithBiasAndDequantize <W extends TNumber > | |
QueueIsClosed | Returns true if queue is closed. |
QueueSize | يحسب عدد العناصر في قائمة الانتظار المحددة. |
RaggedBincount <U extends TNumber > | Counts the number of occurrences of each value in an integer array. |
RaggedTensorToTensor <U extends TType > | Create a dense tensor from a ragged tensor, possibly altering its shape. |
RaggedTensorToVariant | Encodes a `RaggedTensor` into a `variant` Tensor. |
RaggedTensorToVariantGradient <U extends TType > | Helper used to compute the gradient for `RaggedTensorToVariant`. |
RandomCrop <T extends TNumber > | Randomly crop `image`. |
RandomDataset | Creates a Dataset that returns pseudorandom numbers. |
RandomGamma <U extends TNumber > | Outputs random values from the Gamma distribution(s) described by alpha. |
RandomGammaGrad <T extends TNumber > | Computes the derivative of a Gamma random sample wrt |
RandomPoisson <V extends TNumber > | Outputs random values from the Poisson distribution(s) described by rate. |
RandomShuffle <T extends TType > | Randomly shuffles a tensor along its first dimension. |
RandomShuffleQueue | A queue that randomizes the order of elements. |
RandomStandardNormal <U extends TNumber > | Outputs random values from a normal distribution. |
RandomUniform <U extends TNumber > | Outputs random values from a uniform distribution. |
RandomUniformInt <U extends TNumber > | إخراج أعداد صحيحة عشوائية من توزيع موحد. |
Range <T extends TNumber > | Creates a sequence of numbers. |
RangeDataset | إنشاء مجموعة بيانات بنطاق من القيم. |
رتبة | Returns the rank of a tensor. |
إقرا الملف | Reads and outputs the entire contents of the input filename. |
ReadVariableOp <T extends TType > | Reads the value of a variable. |
ReaderNumRecordsProduced | إرجاع عدد السجلات التي أنتجها هذا القارئ. |
ReaderNumWorkUnitsCompleted | Returns the number of work units this Reader has finished processing. |
ReaderSerializeState | Produce a string tensor that encodes the state of a Reader. |
Real <U extends TNumber > | إرجاع الجزء الحقيقي من عدد مركب. |
RealDiv <T extends TType > | Returns x / y element-wise for real types. |
RebatchDataset | ينشئ مجموعة بيانات تغير حجم الدفعة. |
RebatchDatasetV2 | ينشئ مجموعة بيانات تغير حجم الدفعة. |
Reciprocal <T extends TType > | Computes the reciprocal of x element-wise. |
ReciprocalGrad <T extends TType > | Computes the gradient for the inverse of `x` wrt its input. |
RecordInput | Emits randomized records. |
Recv <T extends TType > | Receives the named tensor from another XLA computation. |
Reduce <T extends TNumber > | يقلل بشكل متبادل موترات متعددة من نفس النوع والشكل. |
ReduceAll | Computes the "logical and" of elements across dimensions of a tensor. |
ReduceAny | Computes the "logical or" of elements across dimensions of a tensor. |
ReduceJoin | Joins a string Tensor across the given dimensions. |
ReduceMax <T extends TType > | Computes the maximum of elements across dimensions of a tensor. |
ReduceMin <T extends TType > | Computes the minimum of elements across dimensions of a tensor. |
ReduceProd <T extends TType > | Computes the product of elements across dimensions of a tensor. |
ReduceSum <T extends TType > | Computes the sum of elements across dimensions of a tensor. |
ReduceV2 <T extends TNumber > | يقلل بشكل متبادل موترات متعددة من نفس النوع والشكل. |
RefEnter <T extends TType > | Creates or finds a child frame, and makes `data` available to the child frame. |
RefExit <T extends TType > | Exits the current frame to its parent frame. |
RefIdentity <T extends TType > | Return the same ref tensor as the input ref tensor. |
RefNextIteration <T extends TType > | Makes its input available to the next iteration. |
RefSelect <T extends TType > | Forwards the `index`th element of `inputs` to `output`. |
RegexFullMatch | Check if the input matches the regex pattern. |
RegexReplace | Replaces matches of the `pattern` regular expression in `input` with the replacement string provided in `rewrite`. |
RegisterDataset | Registers a dataset with the tf.data service. |
Relu <T extends TType > | Computes rectified linear: `max(features, 0)`. |
Relu6 <T extends TNumber > | Computes rectified linear 6: `min(max(features, 0), 6)`. |
Relu6Grad <T extends TNumber > | Computes rectified linear 6 gradients for a Relu6 operation. |
ReluGrad <T extends TNumber > | Computes rectified linear gradients for a Relu operation. |
RepeatDataset | Creates a dataset that emits the outputs of `input_dataset` `count` times. |
ReplicaId | Replica ID. |
ReplicatedInput <T extends TType > | Connects N inputs to an N-way replicated TPU computation. |
Reshape <T extends TType > | Reshapes a tensor. |
ResizeArea | Resize `images` to `size` using area interpolation. |
ResizeBicubic | قم بتغيير حجم "الصور" إلى "الحجم" باستخدام الاستيفاء الثنائي. |
ResizeBicubicGrad <T extends TNumber > | Computes the gradient of bicubic interpolation. |
ResizeBilinear | Resize `images` to `size` using bilinear interpolation. |
ResizeBilinearGrad <T extends TNumber > | Computes the gradient of bilinear interpolation. |
ResizeNearestNeighbor <T extends TNumber > | Resize `images` to `size` using nearest neighbor interpolation. |
ResizeNearestNeighborGrad <T extends TNumber > | Computes the gradient of nearest neighbor interpolation. |
ResourceAccumulatorNumAccumulated | Returns the number of gradients aggregated in the given accumulators. |
ResourceAccumulatorTakeGradient <T extends TType > | Extracts the average gradient in the given ConditionalAccumulator. |
ResourceConditionalAccumulator | A conditional accumulator for aggregating gradients. |
ResourceCountUpTo <T extends TNumber > | Increments variable pointed to by 'resource' until it reaches 'limit'. |
ResourceGather <U extends TType > | Gather slices from the variable pointed to by `resource` according to `indices`. |
ResourceGatherNd <U extends TType > | |
RestoreSlice <T extends TType > | Restores a tensor from checkpoint files. |
RetrieveTPUEmbeddingStochasticGradientDescentParameters | Retrieve SGD embedding parameters. |
Reverse <T extends TType > | Reverses specific dimensions of a tensor. |
ReverseSequence <T extends TType > | عكس شرائح الطول المتغير. |
Rfft <U extends TType > | Real-valued fast Fourier transform. |
Rfft2d <U extends TType > | 2D real-valued fast Fourier transform. |
Rfft3d <U extends TType > | 3D real-valued fast Fourier transform. |
RgbToHsv <T extends TNumber > | يحول صورة واحدة أو أكثر من RGB إلى HSV. |
RightShift <T extends TNumber > | Elementwise computes the bitwise right-shift of `x` and `y`. |
Rint <T extends TNumber > | Returns element-wise integer closest to x. |
RngReadAndSkip | Advance the counter of a counter-based RNG. |
Roll <T extends TType > | Rolls the elements of a tensor along an axis. |
Round <T extends TType > | Rounds the values of a tensor to the nearest integer, element-wise. |
Rpc | تنفيذ دفعات من طلبات RPC. |
Rsqrt <T extends TType > | Computes reciprocal of square root of x element-wise. |
RsqrtGrad <T extends TType > | يحسب التدرج اللوني لـ rsqrt لـ `x` wrt مدخلاته. |
SamplingDataset | Creates a dataset that takes a Bernoulli sample of the contents of another dataset. |
ScalarSummary | Outputs a `Summary` protocol buffer with scalar values. |
ScaleAndTranslate | |
ScaleAndTranslateGrad <T extends TNumber > | |
ScatterAdd <T extends TType > | Adds sparse updates to a variable reference. |
ScatterDiv <T extends TType > | Divides a variable reference by sparse updates. |
ScatterMax <T extends TNumber > | Reduces sparse updates into a variable reference using the `max` operation. |
ScatterMin <T extends TNumber > | Reduces sparse updates into a variable reference using the `min` operation. |
ScatterMul <T extends TType > | Multiplies sparse updates into a variable reference. |
ScatterNd <U extends TType > | Scatter `updates` into a new tensor according to `indices`. |
ScatterNdAdd <T extends TType > | Applies sparse addition to individual values or slices in a Variable. |
ScatterNdMax <T extends TType > | يحسب الحد الأقصى للعنصر. |
ScatterNdMin <T extends TType > | Computes element-wise minimum. |
ScatterNdNonAliasingAdd <T extends TType > | Applies sparse addition to `input` using individual values or slices from `updates` according to indices `indices`. |
ScatterNdSub <T extends TType > | يطبق الطرح المتفرق على القيم الفردية أو الشرائح في متغير. |
ScatterNdUpdate <T extends TType > | Applies sparse `updates` to individual values or slices within a given variable according to `indices`. |
ScatterSub <T extends TType > | Subtracts sparse updates to a variable reference. |
ScatterUpdate <T extends TType > | Applies sparse updates to a variable reference. |
SdcaFprint | Computes fingerprints of the input strings. |
SegmentMax <T extends TNumber > | يحسب الحد الأقصى على طول شرائح الموتر. |
SegmentMean <T extends TType > | Computes the mean along segments of a tensor. |
SegmentMin <T extends TNumber > | Computes the minimum along segments of a tensor. |
SegmentProd <T extends TType > | Computes the product along segments of a tensor. |
SegmentSum <T extends TType > | Computes the sum along segments of a tensor. |
Select <T extends TType > | |
Selu <T extends TNumber > | Computes scaled exponential linear: `scale * alpha * (exp(features) - 1)` if < 0, `scale * features` otherwise. |
SeluGrad <T extends TNumber > | Computes gradients for the scaled exponential linear (Selu) operation. |
SerializeIterator | Converts the given `resource_handle` representing an iterator to a variant tensor. |
SerializeManySparse <U extends TType > | Serialize an `N`-minibatch `SparseTensor` into an `[N, 3]` `Tensor` object. |
SerializeSparse <U extends TType > | Serialize a `SparseTensor` into a `[3]` `Tensor` object. |
SerializeTensor | يحول Tensor إلى نموذج TensorProto متسلسل. |
SetSize | Number of unique elements along last dimension of input `set`. |
SetStatsAggregatorDataset | |
Shape <U extends TNumber > | Returns the shape of a tensor. |
ShardDataset | ينشئ `مجموعة بيانات` تتضمن 1/`num_shards` فقط من مجموعة البيانات هذه. |
ShardedFilename | إنشاء اسم ملف مجزأ. |
ShardedFilespec | Generate a glob pattern matching all sharded file names. |
Sharding <T extends TType > | An op which shards the input based on the given sharding attribute. |
ShuffleAndRepeatDataset | |
ShuffleDataset | |
Sigmoid <T extends TType > | يحسب السيني للعنصر `x`. |
SigmoidGrad <T extends TType > | Computes the gradient of the sigmoid of `x` wrt its input. |
Sign <T extends TType > | تقوم بإرجاع إشارة عنصرية لعلامة الرقم. |
Sin <T extends TType > | Computes sine of x element-wise. |
Sinh <T extends TType > | Computes hyperbolic sine of x element-wise. |
Size <U extends TNumber > | Returns the size of a tensor. |
SkipDataset | Creates a dataset that skips `count` elements from the `input_dataset`. |
SleepDataset | |
Slice <T extends TType > | Return a slice from 'input'. |
SlidingWindowDataset | Creates a dataset that passes a sliding window over `input_dataset`. |
Snapshot <T extends TType > | Returns a copy of the input tensor. |
SobolSample <T extends TNumber > | Generates points from the Sobol sequence. |
Softmax <T extends TNumber > | يحسب التنشيط softmax. |
Softplus <T extends TNumber > | يحسب softplus: `log(exp(features) + 1)`. |
SoftplusGrad <T extends TNumber > | Computes softplus gradients for a softplus operation. |
Softsign <T extends TNumber > | Computes softsign: `features / (abs(features) + 1)`. |
SoftsignGrad <T extends TNumber > | Computes softsign gradients for a softsign operation. |
Solve <T extends TType > | Solves systems of linear equations. |
Sort <T extends TType > | يلتف عامل فرز XLA، الموثق في https://www.tensorflow.org/performance/xla/operation_semantics#sort . |
SpaceToBatch <T extends TType > | SpaceToBatch for 4-D tensors of type T. |
SpaceToBatchNd <T extends TType > | SpaceToBatch for ND tensors of type T. |
SpaceToDepth <T extends TType > | SpaceToDepth for tensors of type T. |
SparseApplyAdadelta <T extends TType > | فار: يجب أن يكون من متغير (). |
SparseApplyAdagrad <T extends TType > | Update relevant entries in '*var' and '*accum' according to the adagrad scheme. |
SparseApplyAdagradDa <T extends TType > | Update entries in '*var' and '*accum' according to the proximal adagrad scheme. |
SparseApplyCenteredRmsProp <T extends TType > | Update '*var' according to the centered RMSProp algorithm. |
SparseApplyFtrl <T extends TType > | Update relevant entries in '*var' according to the Ftrl-proximal scheme. |
SparseApplyMomentum <T extends TType > | Update relevant entries in '*var' and '*accum' according to the momentum scheme. |
SparseApplyProximalAdagrad <T extends TType > | Sparse update entries in '*var' and '*accum' according to FOBOS algorithm. |
SparseApplyProximalGradientDescent <T extends TType > | تحديث متفرق '*var' كخوارزمية FOBOS بمعدل تعلم ثابت. |
SparseApplyRmsProp <T extends TType > | قم بتحديث '*var' وفقًا لخوارزمية RMSProp. |
SparseBincount <U extends TNumber > | Counts the number of occurrences of each value in an integer array. |
SparseConditionalAccumulator | A conditional accumulator for aggregating sparse gradients. |
SparseDenseCwiseAdd <T extends TType > | Adds up a SparseTensor and a dense Tensor, using these special rules: (1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the SparseTensor participate in the cwise addition. |
SparseDenseCwiseDiv <T extends TType > | Component-wise divides a SparseTensor by a dense Tensor. |
SparseDenseCwiseMul <T extends TType > | Component-wise multiplies a SparseTensor by a dense Tensor. |
SparseMatMul | Multiply matrix "a" by matrix "b". |
إضافة سبارس ماتريكس | إضافة متفرقة لمصفوفتين من مصفوفات المسؤولية الاجتماعية للشركات، C = alpha * A + beta * B. |
SparseMatrixMatMul <T يمتد TType > | المصفوفة - تضرب مصفوفة متفرقة بمصفوفة كثيفة. |
SparseMatrixMul | الضرب من حيث العناصر لمصفوفة متفرقة ذات موتر كثيف. |
متناثر ماتريكسNNZ | لعرض عدد الأصفار في `sparse_matrix`. |
طلب مصفوفة متفرقةAMD | يحسب ترتيب الدرجة الدنيا التقريبية (AMD) لـ "الإدخال". |
SparseMatrixSoftmax | يحسب softmax من CSRSparseMatrix. |
SparseMatrixSoftmaxGrad | حساب التدرج اللوني للمرجع SparseMatrixSoftmax. |
SparseMatrixSparseCholesky | يحسب تحليل Cholesky المتناثر لـ "المدخلات". |
SparseMatrixSparseMatMul | تقوم المصفوفة المتفرقة بضرب مصفوفتين للمسؤولية الاجتماعية للشركات `a` و`b`. |
SparseMatrixTranspose | ينقل الأبعاد الداخلية (المصفوفة) لـ CSRSparseMatrix. |
SparseMatrixZeros | ينشئ CSRSparseMatrix بأصفار كاملة بالشكل "dense_shape". |
SparseReduceMax <T extends TNumber > | Computes the max of elements across dimensions of a SparseTensor. |
SparseReduceSum <T extends TType > | Computes the sum of elements across dimensions of a SparseTensor. |
SparseSegmentMean <T extends TNumber > | Computes the mean along sparse segments of a tensor. |
SparseSegmentMeanGrad <T extends TNumber > | Computes gradients for SparseSegmentMean. |
SparseSegmentMeanWithNumSegments <T extends TNumber > | Computes the mean along sparse segments of a tensor. |
SparseSegmentSqrtN <T extends TNumber > | Computes the sum along sparse segments of a tensor divided by the sqrt of N. |
SparseSegmentSqrtNGrad <T extends TNumber > | Computes gradients for SparseSegmentSqrtN. |
SparseSegmentSqrtNWithNumSegments <T extends TNumber > | Computes the sum along sparse segments of a tensor divided by the sqrt of N. |
SparseSegmentSum <T extends TNumber > | Computes the sum along sparse segments of a tensor. |
SparseSegmentSumWithNumSegments <T extends TNumber > | Computes the sum along sparse segments of a tensor. |
SparseSliceGrad <T extends TType > | The gradient operator for the SparseSlice op. |
SparseSoftmax <T extends TNumber > | Applies softmax to a batched ND `SparseTensor`. |
SparseTensorDenseAdd <U extends TType > | Adds up a `SparseTensor` and a dense `Tensor`, producing a dense `Tensor`. |
SparseTensorDenseMatMul <U extends TType > | Multiply SparseTensor (of rank 2) "A" by dense matrix "B". |
SparseTensorSliceDataset | Creates a dataset that splits a SparseTensor into elements row-wise. |
SparseTensorToCSRSparseMatrix | تحويل SparseTensor إلى CSRSparseMatrix (ربما على دفعات). |
SparseToDense <U extends TType > | Converts a sparse representation into a dense tensor. |
Spence <T extends TNumber > | |
SqlDataset | Creates a dataset that executes a SQL query and emits rows of the result set. |
Sqrt <T extends TType > | Computes square root of x element-wise. |
SqrtGrad <T extends TType > | Computes the gradient for the sqrt of `x` wrt its input. |
Sqrtm <T extends TType > | Computes the matrix square root of one or more square matrices: matmul(sqrtm(A), sqrtm(A)) = A The input matrix should be invertible. |
Square <T extends TType > | Computes square of x element-wise. |
SquaredDifference <T extends TType > | Returns conj(x - y)(x - y) element-wise. |
Squeeze <T extends TType > | يزيل أبعاد الحجم 1 من شكل الموتر. |
Stack <T extends TType > | Packs a list of `N` rank-`R` tensors into one rank-`(R+1)` tensor. |
StageSize | تقوم Op بإرجاع عدد العناصر الموجودة في الحاوية الأساسية. |
StatefulRandomBinomial <V extends TNumber > | |
StatefulStandardNormal <U extends TType > | Outputs random values from a normal distribution. |
StatefulTruncatedNormal <U extends TType > | Outputs random values from a truncated normal distribution. |
StatefulUniform <U extends TType > | Outputs random values from a uniform distribution. |
StatefulUniformFullInt <U extends TType > | إخراج أعداد صحيحة عشوائية من توزيع موحد. |
StatefulUniformInt <U extends TType > | إخراج أعداد صحيحة عشوائية من توزيع موحد. |
StatelessMultinomial <V extends TNumber > | Draws samples from a multinomial distribution. |
StatelessParameterizedTruncatedNormal <V extends TNumber > | |
StatelessRandomBinomial <W extends TNumber > | مخرجات أرقام عشوائية حتمية زائفة من التوزيع ذي الحدين. |
StatelessRandomGamma <V extends TNumber > | Outputs deterministic pseudorandom random numbers from a gamma distribution. |
StatelessRandomNormal <V extends TNumber > | مخرجات القيم العشوائية الزائفة الحتمية من التوزيع الطبيعي. |
StatelessRandomNormalV2 <U extends TNumber > | مخرجات القيم العشوائية الزائفة الحتمية من التوزيع الطبيعي. |
StatelessRandomPoisson <W extends TNumber > | Outputs deterministic pseudorandom random numbers from a Poisson distribution. |
StatelessRandomUniform <V extends TNumber > | Outputs deterministic pseudorandom random values from a uniform distribution. |
StatelessRandomUniformFullInt <V extends TNumber > | مخرجات أعداد صحيحة عشوائية حتمية زائفة من توزيع موحد. |
StatelessRandomUniformFullIntV2 <U extends TNumber > | مخرجات أعداد صحيحة عشوائية حتمية زائفة من توزيع موحد. |
StatelessRandomUniformInt <V extends TNumber > | مخرجات أعداد صحيحة عشوائية حتمية زائفة من توزيع موحد. |
StatelessRandomUniformIntV2 <U extends TNumber > | مخرجات أعداد صحيحة عشوائية حتمية زائفة من توزيع موحد. |
StatelessRandomUniformV2 <U extends TNumber > | Outputs deterministic pseudorandom random values from a uniform distribution. |
StatelessTruncatedNormal <V extends TNumber > | Outputs deterministic pseudorandom values from a truncated normal distribution. |
StatelessTruncatedNormalV2 <U extends TNumber > | Outputs deterministic pseudorandom values from a truncated normal distribution. |
StaticRegexFullMatch | Check if the input matches the regex pattern. |
StaticRegexReplace | Replaces the match of pattern in input with rewrite. |
StatsAggregatorHandle | |
StatsAggregatorSummary | Produces a summary of any statistics recorded by the given statistics manager. |
StopGradient <T extends TType > | Stops gradient computation. |
StridedSlice <T extends TType > | Return a strided slice from `input`. |
StridedSliceAssign <T extends TType > | Assign `value` to the sliced l-value reference of `ref`. |
StridedSliceGrad <U extends TType > | Returns the gradient of `StridedSlice`. |
StringFormat | Formats a string template using a list of tensors. |
طول سلسلة | String lengths of `input`. |
يجرد | Strip leading and trailing whitespaces from the Tensor. |
Sub <T extends TType > | Returns x - y element-wise. |
Substr | Return substrings from `Tensor` of strings. |
Sum <T extends TType > | Computes the sum of elements across dimensions of a tensor. |
SummaryWriter | |
TPUCompilationResult | Returns the result of a TPU compilation. |
TPUEmbeddingActivations | عملية تتيح التمييز بين زخارف TPU. |
TPUReplicatedInput <T extends TType > | Connects N inputs to an N-way replicated TPU computation. |
TakeDataset | Creates a dataset that contains `count` elements from the `input_dataset`. |
Tan <T extends TType > | Computes tan of x element-wise. |
Tanh <T extends TType > | Computes hyperbolic tangent of `x` element-wise. |
TanhGrad <T extends TType > | Computes the gradient for the tanh of `x` wrt its input. |
TemporaryVariable <T extends TType > | Returns a tensor that may be mutated, but only persists within a single step. |
TensorArrayGather <T extends TType > | Gather specific elements from the TensorArray into output `value`. |
TensorArrayPack <T extends TType > | |
TensorArrayRead <T extends TType > | Read an element from the TensorArray into output `value`. |
TensorArrayScatter | Scatter the data from the input value into specific TensorArray elements. |
TensorArraySize | Get the current size of the TensorArray. |
TensorArraySplit | قم بتقسيم البيانات من قيمة الإدخال إلى عناصر TensorArray. |
TensorArrayUnpack | |
TensorArrayWrite | Push an element onto the tensor_array. |
TensorDataset | ينشئ مجموعة بيانات تُصدر "المكونات" على شكل مجموعة من الموترات مرة واحدة. |
TensorDiag <T extends TType > | Returns a diagonal tensor with a given diagonal values. |
TensorDiagPart <T extends TType > | Returns the diagonal part of the tensor. |
TensorForestTreeIsInitializedOp | Checks whether a tree has been initialized. |
TensorForestTreePredict | Output the logits for the given input data |
TensorForestTreeResourceHandleOp | Creates a handle to a TensorForestTreeResource |
TensorForestTreeSerialize | Serializes the tree handle to a proto |
TensorForestTreeSize | Get the number of nodes in a tree |
TensorListConcatLists | |
TensorListElementShape <T extends TNumber > | شكل عناصر القائمة المحددة، كموتر. |
TensorListFromTensor | Creates a TensorList which, when stacked, has the value of `tensor`. |
TensorListGather <T extends TType > | إنشاء Tensor عن طريق الفهرسة في TensorList. |
TensorListGetItem <T extends TType > | |
TensorListLength | Returns the number of tensors in the input tensor list. |
TensorListPushBack | Returns a list which has the passed-in `Tensor` as last element and the other elements of the given list in `input_handle`. |
TensorListPushBackBatch | |
TensorListReserve | List of the given size with empty elements. |
TensorListResize | تغيير حجم القائمة. |
TensorListScatter | Creates a TensorList by indexing into a Tensor. |
TensorListScatterIntoExistingList | ينثر الموتر على المؤشرات في قائمة الإدخال. |
TensorListSetItem | |
TensorListSplit | Splits a tensor into a list. |
TensorListStack <T extends TType > | يكدس جميع الموترات في القائمة. |
TensorMapErase | إرجاع خريطة موتر مع مسح العنصر من المفتاح المحدد. |
TensorMapHasKey | Returns whether the given key exists in the map. |
TensorMapInsert | تقوم بإرجاع خريطة تمثل 'input_handle' مع إدراج زوج المفتاح والقيمة المحدد. |
TensorMapLookup <U extends TType > | Returns the value from a given key in a tensor map. |
TensorMapSize | Returns the number of tensors in the input tensor map. |
TensorMapStackKeys <T extends TType > | Returns a Tensor stack of all keys in a tensor map. |
TensorScatterNdAdd <T extends TType > | يضيف "تحديثات" متفرقة إلى موتر موجود وفقًا لـ "المؤشرات". |
TensorScatterNdMax <T extends TType > | |
TensorScatterNdMin <T extends TType > | |
TensorScatterNdSub <T extends TType > | Subtracts sparse `updates` from an existing tensor according to `indices`. |
TensorScatterNdUpdate <T extends TType > | Scatter `updates` into an existing tensor according to `indices`. |
TensorSliceDataset | Creates a dataset that emits each dim-0 slice of `components` once. |
TensorStridedSliceUpdate <T extends TType > | Assign `value` to the sliced l-value reference of `input`. |
TensorSummary | Outputs a `Summary` protocol buffer with a tensor and per-plugin data. |
TextLineDataset | Creates a dataset that emits the lines of one or more text files. |
TextLineReader | A Reader that outputs the lines of a file delimited by '\n'. |
TfRecordDataset | Creates a dataset that emits the records from one or more TFRecord files. |
TfRecordReader | A Reader that outputs the records from a TensorFlow Records file. |
ThreadPoolDataset | Creates a dataset that uses a custom thread pool to compute `input_dataset`. |
ThreadPoolHandle | Creates a dataset that uses a custom thread pool to compute `input_dataset`. |
Tile <T extends TType > | يبني موترًا عن طريق تبليط موتر معين. |
TileGrad <T extends TType > | Returns the gradient of `Tile`. |
الطابع الزمني | Provides the time since epoch in seconds. |
ToBool | Converts a tensor to a scalar predicate. |
ToHashBucket | Converts each string in the input Tensor to its hash mod by a number of buckets. |
ToHashBucketFast | Converts each string in the input Tensor to its hash mod by a number of buckets. |
ToHashBucketStrong | Converts each string in the input Tensor to its hash mod by a number of buckets. |
ToNumber <T extends TNumber > | Converts each string in the input Tensor to the specified numeric type. |
Transpose <T extends TType > | Shuffle dimensions of x according to a permutation. |
TriangularSolve <T extends TType > | Solves systems of linear equations with upper or lower triangular matrices by backsubstitution. |
TridiagonalMatMul <T extends TType > | Calculate product with tridiagonal matrix. |
TridiagonalSolve <T extends TType > | Solves tridiagonal systems of equations. |
TruncateDiv <T extends TType > | Returns x / y element-wise for integer types. |
TruncateMod <T extends TNumber > | إرجاع باقي القسمة حسب العناصر. |
TruncatedNormal <U extends TNumber > | Outputs random values from a truncated normal distribution. |
Unbatch <T extends TType > | يعكس تشغيل Batch لموتر إخراج واحد. |
UnbatchDataset | A dataset that splits the elements of its input into multiple elements. |
UnbatchGrad <T extends TType > | Gradient of Unbatch. |
UnicodeEncode | Encode a tensor of ints into unicode strings. |
UnicodeScript | Determine the script codes of a given tensor of Unicode integer code points. |
UnicodeTranscode | Transcode the input text from a source encoding to a destination encoding. |
UniqueDataset | ينشئ مجموعة بيانات تحتوي على العناصر الفريدة لـ "input_dataset". |
UnravelIndex <T extends TNumber > | تحويل مصفوفة من المؤشرات المسطحة إلى مجموعة من المصفوفات الإحداثية. |
UnsortedSegmentJoin | Joins the elements of `inputs` based on `segment_ids`. |
UnsortedSegmentMax <T extends TNumber > | يحسب الحد الأقصى على طول شرائح الموتر. |
UnsortedSegmentMin <T extends TNumber > | Computes the minimum along segments of a tensor. |
UnsortedSegmentProd <T extends TType > | Computes the product along segments of a tensor. |
UnsortedSegmentSum <T extends TType > | Computes the sum along segments of a tensor. |
UnwrapDatasetVariant | |
العلوي | Converts all lowercase characters into their respective uppercase replacements. |
UpperBound <U extends TNumber > | يتم تطبيق Upper_bound(sorted_search_values,values) على طول كل صف. |
VarHandleOp | Creates a handle to a Variable resource. |
VarIsInitializedOp | Checks whether a resource handle-based variable has been initialized. |
Variable <T extends TType > | Holds state in the form of a tensor that persists across steps. |
VariableShape <T extends TNumber > | Returns the shape of the variable pointed to by `resource`. |
أين | Returns locations of nonzero / true values in a tensor. |
WholeFileReader | A Reader that outputs the entire contents of a file as a value. |
WindowDataset | Combines (nests of) input elements into a dataset of (nests of) windows. |
WorkerHeartbeat | Worker heartbeat op. |
WrapDatasetVariant | |
Xdivy <T extends TType > | Returns 0 if x == 0, and x / y otherwise, elementwise. |
XlaRecvFromHost <T extends TType > | عملية لتلقي موتر من المضيف. |
XlaSetBound | Set a bound for the given input value as a hint to Xla compiler, returns the same value. |
XlaSpmdFullToShardShape <T extends TType > | An op used by XLA SPMD partitioner to switch from automatic partitioning to manual partitioning. |
XlaSpmdShardToFullShape <T extends TType > | An op used by XLA SPMD partitioner to switch from manual partitioning to automatic partitioning. |
Xlog1py <T extends TType > | Returns 0 if x == 0, and x * log1p(y) otherwise, elementwise. |
Xlogy <T extends TType > | Returns 0 if x == 0, and x * log(y) otherwise, elementwise. |
Zeros <T extends TType > | An operator creating a constant initialized with zeros of the shape given by `dims`. |
ZerosLike <T extends TType > | Returns a tensor of zeros with the same shape and type as x. |
Zeta <T extends TNumber > | Compute the Hurwitz zeta function \\(\zeta(x, q)\\). |
ZipDataset | Creates a dataset that zips together `input_datasets`. |
erfinv <T extends TNumber > | |