Functions — github.com/tensorflow/tfjs

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Functions6,022 in github.com/tensorflow/tfjs

⨍ Functions 6,022◇ Types & classes 1,932↳ Endpoints 2

FunctiontopKCategoricalAccuracy

(yTrue: Tensor, yPred: Tensor)

tfjs-layers/src/metrics.ts:104

MethodtopKIndices

(x: Tensor, k: number)

tfjs-node/src/nodejs_kernel_backend.ts:330

MethodtopKValues

(x: T, k: number)

tfjs-node/src/nodejs_kernel_backend.ts:326

Functiontopk_

* Finds the values and indices of the `k` largest entries along the last * dimension. * * If the input is a vector (rank=1), finds the k largest en

tfjs-core/src/ops/topk.ts:52

MethodtotalLossFunction

()

tfjs-layers/src/engine/training.ts:1314

FunctiontrainModelRunner

()

tfjs-react-native/integration_rn59/components/ml.ts:128

MethodtrainOnBatch

* Runs a single gradient update on a single batch of data. * * This method differs from `fit()` and `fitDataset()` in the following * regards

tfjs-layers/src/models.ts:997

FunctiontrainValidationSplit

(arrays: Tensor[], validationSplit: number)

tfjs-layers/src/layers/nlp/utils.ts:92

Functiontrainable

()

tfjs-layers/src/engine/container.ts:536

Functiontrainable

()

tfjs-layers/src/engine/topology.ts:679

Functiontrainable

()

tfjs-layers/src/layers/wrappers.ts:66

Methodtrainable

()

tfjs-layers/src/variables.ts:123

Methodtrainable

()

tfjs-layers/src/layers/wrappers.ts:289

FunctiontrainableWeights

()

tfjs-layers/src/engine/container.ts:549

FunctiontrainableWeights

()

tfjs-layers/src/engine/topology.ts:688

FunctiontrainableWeights

()

tfjs-layers/src/layers/wrappers.ts:86

MethodtrainableWeights

()

tfjs-layers/src/layers/wrappers.ts:539

MethodtrainableWeights

()

tfjs-layers/src/layers/recurrent.ts:790

MethodtrainableWeights

()

tfjs-layers/src/layers/recurrent.ts:2044

Functiontransform

(args: { inputs: TransformInputs, attrs: TransformAttrs, backend: MathBackendCPU })

tfjs-backend-cpu/src/kernels/Transform.ts:22

Functiontransform

(args: { inputs: TransformInputs, backend: WebGPUBackend, attrs: TransformAttrs })

tfjs-backend-webgpu/src/kernels/Transform.ts:23

Functiontransform

(args: { inputs: TransformInputs, backend: MathBackendWebGL, attrs: TransformAttrs })

tfjs-backend-webgl/src/kernels/Transform.ts:23

Functiontransform

( args: {backend: BackendWasm, inputs: TransformInputs, attrs: TransformAttrs})

tfjs-backend-wasm/src/kernels/Transform.ts:52

Functiontransform

(code, file)

tfjs-backend-wasm/scripts/patch_wechat_webassembly.ts:27

Functiontransform_

* Applies the given transform(s) to the image(s). * * @param image 4d tensor of shape `[batch, imageHeight, imageWidth, depth]`. * @param transform

tfjs-core/src/ops/image/transform.ts:58

Functiontranspose_

* Transposes the `tf.Tensor`. Permutes the dimensions according to `perm`. * * The returned `tf.Tensor`'s dimension `i` will correspond to the input

tfjs-core/src/ops/transpose.ts:53

FunctiontruncatedNormalVariable

( shape: Shape, mean = 0.0, stddev = 1.0, dtype?: DataType, seed?: number, name = 'truncatedNormal')

tfjs-layers/src/variables.ts:252

FunctiontruncatedNormal_

* Creates a `tf.Tensor` with values sampled from a truncated normal * distribution. * * ```js * tf.truncatedNormal([2, 2]).print(); * ``` * * T

tfjs-core/src/ops/truncated_normal.ts:46

FunctionunPackXYSampleWeight

( data: [Tensor]|[Tensor, Tensor]|[Tensor, Tensor, Tensor] )

tfjs-layers/src/layers/nlp/utils.ts:79

FunctionunbindColorTextureFromFramebuffer

( gl: WebGLRenderingContext, framebuffer: WebGLFramebuffer)

tfjs-backend-webgl/src/webgl_util.ts:297

MethodunbindKeys

()

tfjs-vis/src/components/visor.tsx:148

FunctionunbindTextureUnit

( gl: WebGLRenderingContext, textureUnit: number)

tfjs-backend-webgl/src/webgl_util.ts:253

Functionunique

( args: {inputs: UniqueInputs, attrs: UniqueAttrs, backend: MathBackendCPU})

tfjs-backend-cpu/src/kernels/Unique.ts:25

Functionunique

( args: {inputs: UniqueInputs, attrs: UniqueAttrs, backend: MathBackendWebGL})

tfjs-backend-webgl/src/kernels/Unique.ts:24

Functionunique

( args: {inputs: UniqueInputs, attrs: UniqueAttrs, backend: BackendWasm})

tfjs-backend-wasm/src/kernels/Unique.ts:22

Functionunique_

* Finds unique elements along an axis of a tensor. * * It returns a tensor `values` containing all of the unique elements along the * `axis` of the

tfjs-core/src/ops/unique.ts:78

FunctionunitNorm

(args: UnitNormArgs)

tfjs-layers/src/exports_constraints.ts:35

Functionunpack

( args: {inputs: UnpackInputs, backend: MathBackendCPU, attrs: UnpackAttrs})

tfjs-backend-cpu/src/kernels/Unpack.ts:24

Functionunpack

( args: {inputs: UnpackInputs, backend: WebGPUBackend, attrs: UnpackAttrs})

tfjs-backend-webgpu/src/kernels/Unpack.ts:25

Functionunpack

( args: {inputs: UnpackInputs, backend: MathBackendWebGL, attrs: UnpackAttrs})

tfjs-backend-webgl/src/kernels/Unpack.ts:25

Functionunpack

( args: {inputs: UnpackInputs, backend: BackendWasm, attrs: UnpackAttrs})

tfjs-backend-wasm/src/kernels/Unpack.ts:24

FunctionunregisterGradient

(kernelName: string)

tfjs-core/src/kernel_registry.ts:182

FunctionunregisterKernel

( kernelName: string, backendName: string)

tfjs-core/src/kernel_registry.ts:170

Methodunshift

(value: T)

tfjs-data/src/util/growing_ring_buffer.ts:42

FunctionunsortedSegmentSum

(args: { inputs: UnsortedSegmentSumInputs, backend: WebGPUBackend, attrs: UnsortedSegmentSumAttrs })

tfjs-backend-webgpu/src/kernels/UnsortedSegmentSum.ts:27

FunctionunsortedSegmentSum

(args: { inputs: UnsortedSegmentSumInputs, backend: MathBackendWebGL, attrs: UnsortedSegmentSumAttrs })

tfjs-backend-webgl/src/kernels/UnsortedSegmentSum.ts:28

FunctionunsortedSegmentSum_

* Computes the sum along segments of a `tf.Tensor`. * * ```js * const x = tf.tensor1d([1, 2, 3, 4]); * const segmentIds = tf.tensor1d([1, 2, 0, 1]

tfjs-core/src/ops/unsorted_segment_sum.ts:47

Functionunstack_

* Unstacks a `tf.Tensor` of rank-`R` into a list of rank-`(R-1)` `tf.Tensor`s. * * ```js * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]); * * tf.un

tfjs-core/src/ops/unstack.ts:43

FunctionupSampling2d

(args: UpSampling2DLayerArgs)

tfjs-layers/src/exports_layers.ts:429

Functionupdate

(x: LayerVariable, xNew: Tensor)

tfjs-layers/src/variables.ts:293

FunctionupdateAdd

(x: LayerVariable, increment: Tensor)

tfjs-layers/src/variables.ts:303

FunctionupdateBaselineStatus

(message: string)

tfjs-data/demo/boston-housing/ui.ts:30

FunctionupdateCacheMaxEntries

(maxEntries: number)

tfjs-layers/src/engine/executor.ts:195

MethodupdateMovingMeanAndVariance

()

tfjs-layers/src/layers/normalization.ts:391

FunctionupdateStatus

(message: string)

tfjs-data/demo/boston-housing/ui.ts:24

FunctionupdateSub

(x: LayerVariable, decrement: Tensor)

tfjs-layers/src/variables.ts:313

FunctionupdatedConfig

* Util shared between different serialization methods. * @returns LayersModel config with Keras version information added.

tfjs-layers/src/engine/container.ts:697

Functionupdates

()

tfjs-layers/src/engine/topology.ts:667

Functionupdates

()

tfjs-layers/src/layers/wrappers.ts:96

FunctionuploadDenseMatrixToTexture

( gl: WebGLRenderingContext, texture: WebGLTexture, width: number, height: number, data: TypedArray, t

tfjs-backend-webgl/src/gpgpu_util.ts:181

FunctionuploadPixelDataToTexture

( gl: WebGLRenderingContext, texture: WebGLTexture, pixels: PixelData|ImageData|HTMLImageElement|HTMLC

tfjs-backend-webgl/src/gpgpu_util.ts:215

FunctionupperBound

( sortedSequence: Tensor|TensorLike, values: Tensor|TensorLike)

tfjs-core/src/ops/upper_bound.ts:56

FunctionvalXTensorsFunc

()

tfjs-layers/src/engine/training_dataset_test.ts:664

FunctionvalYTensorsFunc

()

tfjs-layers/src/engine/training_dataset_test.ts:668

FunctionvalidateDefaultValueShape

( defaultValueShape: number[], valueShape: number[])

tfjs-core/src/ops/ragged_to_dense_util.ts:110

FunctionvalidateFramebuffer

(gl: WebGLRenderingContext)

tfjs-backend-webgl/src/webgl_util.ts:306

FunctionvalidateImportPath

(importPath: string)

tfjs/tools/custom_module/esm_module_provider.ts:151

FunctionvalidateInput

( updates: Tensor, indices: Tensor, shape: number[])

tfjs-core/src/ops/scatter_nd_util.ts:82

FunctionvalidateInput

( sparseIndices: Tensor, sparseValues: Tensor, outputShape: number[], defaultValues: Tensor)

tfjs-core/src/ops/sparse_to_dense_util.ts:32

FunctionvalidateProgram

( gl: WebGLRenderingContext, program: WebGLProgram)

tfjs-backend-webgl/src/webgl_util.ts:166

FunctionvalidateTextureSize

(width: number, height: number)

tfjs-backend-webgl/src/webgl_util.ts:206

FunctionvalueAndGrad

* Like `tf.grad`, but also returns the value of `f()`. Useful when `f()` * returns a metric you want to show. * * The result is a rich object with

tfjs-core/src/gradients.ts:164

FunctionvalueAndGrads

* Like `tf.grads`, but returns also the value of `f()`. Useful when `f()` * returns a metric you want to show. * * The result is a rich object with

tfjs-core/src/gradients.ts:216

MethodvalueArray

Get the Int32Array that represents the int64 value.

tfjs-node/src/int64_tensors.ts:81

Functionvalues_from_const

Extracts the values from a const NodeDef as a numpy ndarray. Args: node_def: Const NodeDef that has the values we want to access. Returns:

tfjs-converter/python/tensorflowjs/converters/graph_rewrite_util.py:46

Functionvariable

( x: Tensor, dtype?: DataType, name?: string, constraint?: Constraint)

tfjs-layers/src/variables.ts:150

Functionvariable

( initialValue: Tensor<R>, trainable = true, name?: string, dtype?: DataType)

tfjs-core/src/ops/variable.ts:38

Functionvariance

(array: number[]|Float32Array)

tfjs-layers/src/utils/math_utils.ts:124

FunctionvarianceScaling

(config: VarianceScalingArgs)

tfjs-layers/src/exports_initializers.ts:100

FunctionverifyArgs

(args: BaseConvLayerArgs)

tfjs-layers/src/layers/convolutional.ts:472

MethodverifyArgs

(args: ConvLayerArgs)

tfjs-layers/src/layers/convolutional.ts:691

MethodverifyArgs

(args: ConvLayerArgs)

tfjs-layers/src/layers/convolutional.ts:1238

FunctionvertexShaderSource

()

tfjs-react-native/src/camera/resize_nearest_neigbor_program_info.ts:26

FunctionvertexShaderSource

( flipHorizontal: boolean, flipVertical: boolean, rotation: Rotation)

tfjs-react-native/src/camera/draw_texture_program_info.ts:20

FunctionvertexShaderSource

()

tfjs-react-native/src/camera/resize_bilinear_program_info.ts:26

Functionvertices

()

tfjs-react-native/src/camera/resize_nearest_neigbor_program_info.ts:94

Functionvertices

()

tfjs-react-native/src/camera/draw_texture_program_info.ts:64

Functionvertices

()

tfjs-react-native/src/camera/resize_bilinear_program_info.ts:108

Functionvocabulary

* Get the tokenizer vocabulary as a list of strings terms.

tfjs-layers/src/layers/nlp/tokenizers.ts:101

Methodvocabulary

* Get the tokenizer vocabulary as a list of string tokens.

tfjs-layers/src/layers/nlp/tokenizers.ts:298

FunctionvocabularySize

* Returns the total size of the token id space.

tfjs-layers/src/layers/nlp/tokenizers.ts:111

MethodvocabularySize

* Get the size of the tokenizer vocabulary.

tfjs-layers/src/layers/nlp/tokenizers.ts:305

Functionwarn

(...msg: Array<{}>)

tfjs-core/src/log.ts:20

FunctionwarnOnIncompatibleInputShape

* Check compatibility between input shape and this layer's batchInputShape. * * Print warning if any incompatibility is found. * * @param

tfjs-layers/src/engine/topology.ts:1091

Functionwebcam

( webcamVideoElement?: HTMLVideoElement, webcamConfig?: WebcamConfig)

tfjs-data/src/readers.ts:238

MethodweightIds

()

tfjs-converter/src/executor/graph_executor.ts:52

MethodweightMap

()

tfjs-converter/src/executor/graph_executor.ts:61

Functionweights

()

tfjs-layers/src/engine/container.ts:586

Functionweights

* The concatenation of the lists trainableWeights and nonTrainableWeights * (in this order).

tfjs-layers/src/engine/topology.ts:717

Methodweights

()

tfjs-converter/src/executor/graph_model.ts:79

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