Class MLGraphBuilder

Hierarchy

MLGraphBuilder

Constructors

constructor

new MLGraphBuilder(context: MLContext): MLGraphBuilder
Parameters
- context: MLContext
Returns MLGraphBuilder
- Defined in nn/graph_builder.ts:300

Methods

abs

abs(x: MLOperand): MLOperand
spec
Parameters
- x: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:479

add

add(a: MLOperand, b: MLOperand): MLOperand
spec
Parameters
- a: MLOperand
- b: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:419

averagePool2d

averagePool2d(input: MLOperand, options?: MLPooling2dOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLPooling2dOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:753

batchNormalization

batchNormalization(input: MLOperand, mean: MLOperand, variance: MLOperand, options?: MLBatchNormalizationOptions): MLOperand
spec
Parameters
- input: MLOperand
- mean: MLOperand
- variance: MLOperand
- options: MLBatchNormalizationOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:352

build

build(outputs: MLNamedOperands): Promise<MLGraph>
spec
Parameters
- outputs: MLNamedOperands
Returns Promise<MLGraph>
- Defined in nn/graph_builder.ts:314

ceil

ceil(x: MLOperand): MLOperand
spec
Parameters
- x: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:487

clamp

clamp(x: MLOperand, options: MLClampOptions): MLOperand
spec
Parameters
- x: MLOperand
- options: MLClampOptions
Returns MLOperand
- Defined in nn/graph_builder.ts:364
clamp(options: MLClampOptions): MLActivation
Parameters
- options: MLClampOptions
Returns MLActivation
- Defined in nn/graph_builder.ts:365

concat

concat(inputs: MLOperand[], axis: number): MLOperand
spec
Parameters
- inputs: MLOperand[]
- axis: number
Returns MLOperand
- Defined in nn/graph_builder.ts:382

constant

constant(desc: MLOperandDescriptor, bufferView: ArrayBufferView): MLOperand
spec
Parameters
- desc: MLOperandDescriptor
- bufferView: ArrayBufferView
Returns MLOperand
- Defined in nn/graph_builder.ts:329
constant(value: number, type?: MLOperandDataType): MLOperand
spec
Parameters
- value: number
- Optional type: MLOperandDataType
Returns MLOperand
- Defined in nn/graph_builder.ts:333

conv2d

conv2d(input: MLOperand, filter: MLOperand, options?: MLConv2dOptions): MLOperand
spec
Parameters
- input: MLOperand
- filter: MLOperand
- options: MLConv2dOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:390

convTranspose2d

convTranspose2d(input: MLOperand, filter: MLOperand, options?: MLConvTranspose2dOptions): MLOperand
spec
Parameters
- input: MLOperand
- filter: MLOperand
- options: MLConvTranspose2dOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:403

cos

cos(x: MLOperand): MLOperand
spec
Parameters
- x: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:495

div

div(a: MLOperand, b: MLOperand): MLOperand
spec
Parameters
- a: MLOperand
- b: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:443

elu

elu(x: MLOperand, options: MLEluOptions): MLOperand
spec
Parameters
- x: MLOperand
- options: MLEluOptions
Returns MLOperand
- Defined in nn/graph_builder.ts:627
elu(options: MLEluOptions): MLActivation
Parameters
- options: MLEluOptions
Returns MLActivation
- Defined in nn/graph_builder.ts:628

exp

exp(x: MLOperand): MLOperand
spec
Parameters
- x: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:503

floor

floor(x: MLOperand): MLOperand
spec
Parameters
- x: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:511

gemm

gemm(a: MLOperand, b: MLOperand, options?: MLGemmOptions): MLOperand
spec
Parameters
- a: MLOperand
- b: MLOperand
- options: MLGemmOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:646

gru

gru(input: MLOperand, weight: MLOperand, recurrentWeight: MLOperand, steps: number, hiddenSize: number, options?: MLGruOptions): MLOperand[]
spec
Parameters
- input: MLOperand
- weight: MLOperand
- recurrentWeight: MLOperand
- steps: number
- hiddenSize: number
- options: MLGruOptions = {}
Returns MLOperand[]
- Defined in nn/graph_builder.ts:654

gruCell

gruCell(input: MLOperand, weight: MLOperand, recurrentWeight: MLOperand, hiddenState: MLOperand, hiddenSize: number, options?: MLGruCellOptions): MLOperand
spec
Parameters
- input: MLOperand
- weight: MLOperand
- recurrentWeight: MLOperand
- hiddenState: MLOperand
- hiddenSize: number
- options: MLGruCellOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:668

hardSigmoid

hardSigmoid(x: MLOperand, options: MLHardSigmoidOptions): MLOperand
spec
Parameters
- x: MLOperand
- options: MLHardSigmoidOptions
Returns MLOperand
- Defined in nn/graph_builder.ts:551
hardSigmoid(options: MLHardSigmoidOptions): MLActivation
Parameters
- options: MLHardSigmoidOptions
Returns MLActivation
- Defined in nn/graph_builder.ts:552

hardSwish

hardSwish(input: MLOperand): MLOperand
spec
Parameters
- input: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:570
hardSwish(): MLActivation
Returns MLActivation
- Defined in nn/graph_builder.ts:571

input

input(name: string, desc: MLOperandDescriptor): MLOperand
spec
Parameters
- name: string
- desc: MLOperandDescriptor
Returns MLOperand
- Defined in nn/graph_builder.ts:322

instanceNormalization

instanceNormalization(input: MLOperand, options?: MLInstanceNormalizationOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLInstanceNormalizationOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:685

l2Pool2d

l2Pool2d(input: MLOperand, options?: MLPooling2dOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLPooling2dOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:761

leakyRelu

leakyRelu(x: MLOperand, options: MLLeakyReluOptions): MLOperand
spec
Parameters
- x: MLOperand
- options: MLLeakyReluOptions
Returns MLOperand
- Defined in nn/graph_builder.ts:695
leakyRelu(options: MLLeakyReluOptions): MLActivation
Parameters
- options: MLLeakyReluOptions
Returns MLActivation
- Defined in nn/graph_builder.ts:696

linear

linear(x: MLOperand, options: MLLinearOptions): MLOperand
spec
Parameters
- x: MLOperand
- options: MLLinearOptions
Returns MLOperand
- Defined in nn/graph_builder.ts:713
linear(options: MLLinearOptions): MLActivation
Parameters
- options: MLLinearOptions
Returns MLActivation
- Defined in nn/graph_builder.ts:714

log

log(x: MLOperand): MLOperand
spec
Parameters
- x: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:519

matmul

matmul(a: MLOperand, b: MLOperand): MLOperand
spec
Parameters
- a: MLOperand
- b: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:731

max

max(a: MLOperand, b: MLOperand): MLOperand
spec
Parameters
- a: MLOperand
- b: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:451

maxPool2d

maxPool2d(input: MLOperand, options?: MLPooling2dOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLPooling2dOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:769

min

min(a: MLOperand, b: MLOperand): MLOperand
spec
Parameters
- a: MLOperand
- b: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:459

mul

mul(a: MLOperand, b: MLOperand): MLOperand
spec
Parameters
- a: MLOperand
- b: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:435

neg

neg(x: MLOperand): MLOperand
spec
Parameters
- x: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:527

pad

pad(input: MLOperand, beginningPadding: [number, number], endingPadding: [number, number], options?: MLPadOptions): MLOperand
spec
Parameters
- input: MLOperand
- beginningPadding: [number, number]
- endingPadding: [number, number]
- options: MLPadOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:739

pow

pow(a: MLOperand, b: MLOperand): MLOperand
spec
Parameters
- a: MLOperand
- b: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:468

prelu

prelu(x: MLOperand, slope: MLOperand): MLOperand
spec
Parameters
- x: MLOperand
- slope: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:778

reduceL1

reduceL1(input: MLOperand, options?: MLReduceOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLReduceOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:788

reduceL2

reduceL2(input: MLOperand, options?: MLReduceOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLReduceOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:796

reduceLogSum

reduceLogSum(input: MLOperand, options?: MLReduceOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLReduceOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:804

reduceLogSumExp

reduceLogSumExp(input: MLOperand, options?: MLReduceOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLReduceOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:812

reduceMax

reduceMax(input: MLOperand, options?: MLReduceOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLReduceOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:820

reduceMean

reduceMean(input: MLOperand, options?: MLReduceOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLReduceOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:828

reduceMin

reduceMin(input: MLOperand, options?: MLReduceOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLReduceOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:836

reduceProduct

reduceProduct(input: MLOperand, options?: MLReduceOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLReduceOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:844

reduceSum

reduceSum(input: MLOperand, options?: MLReduceOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLReduceOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:852

reduceSumSquare

reduceSumSquare(input: MLOperand, options?: MLReduceOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLReduceOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:860

relu

relu(input: MLOperand): MLOperand
spec
Parameters
- input: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:584
relu(): MLActivation
Returns MLActivation
- Defined in nn/graph_builder.ts:585

resample2d

resample2d(input: MLOperand, options?: MLResample2dOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLResample2dOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:869

reshape

reshape(input: MLOperand, newShape: number[]): MLOperand
spec
Parameters
- input: MLOperand
- newShape: number[]
Returns MLOperand
- Defined in nn/graph_builder.ts:877

sigmoid

sigmoid(input: MLOperand): MLOperand
spec
Parameters
- input: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:598
sigmoid(): MLActivation
Returns MLActivation
- Defined in nn/graph_builder.ts:599

sin

sin(x: MLOperand): MLOperand
spec
Parameters
- x: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:535

slice

slice(input: MLOperand, starts: number[], sizes: number[]): MLOperand
spec
Parameters
- input: MLOperand
- starts: number[]
- sizes: number[]
Returns MLOperand
- Defined in nn/graph_builder.ts:885

softmax

softmax(x: MLOperand): MLOperand
spec
Parameters
- x: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:893

softplus

softplus(x: MLOperand, options: MLSoftplusOptions): MLOperand
spec
Parameters
- x: MLOperand
- options: MLSoftplusOptions
Returns MLOperand
- Defined in nn/graph_builder.ts:901
softplus(options: MLSoftplusOptions): MLActivation
Parameters
- options: MLSoftplusOptions
Returns MLActivation
- Defined in nn/graph_builder.ts:902

softsign

softsign(x: MLOperand): MLOperand
spec
Parameters
- x: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:919

split

split(input: MLOperand, splits: number | number[], options?: MLSplitOptions): MLOperand[]
spec
Parameters
- input: MLOperand
- splits: number | number[]
- options: MLSplitOptions = {}
Returns MLOperand[]
- Defined in nn/graph_builder.ts:927

sub

sub(a: MLOperand, b: MLOperand): MLOperand
spec
Parameters
- a: MLOperand
- b: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:427

tan

tan(x: MLOperand): MLOperand
spec
Parameters
- x: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:543

tanh

tanh(input: MLOperand): MLOperand
spec
Parameters
- input: MLOperand
Returns MLOperand
- Defined in nn/graph_builder.ts:612
tanh(): MLActivation
Returns MLActivation
- Defined in nn/graph_builder.ts:613

transpose

transpose(input: MLOperand, options?: MLTransposeOptions): MLOperand
spec
Parameters
- input: MLOperand
- options: MLTransposeOptions = {}
Returns MLOperand
- Defined in nn/graph_builder.ts:937

Generated using TypeDoc