Interface TensorConstructor

type TensorConstructor defines the constructors of 'Tensor' to create CPU tensor instances.

interface TensorConstructor {
    new TensorConstructornew (type, data, dims?): TypedTensor<"string">;
    new TensorConstructornew (type, data, dims?): TypedTensor<"bool">;
    new TensorConstructornew (type, data, dims?): TypedTensor<"uint8">;
    new TensorConstructornew <T>(type, data, dims?): TypedTensor<T>;
    new TensorConstructornew <T>(type, data, dims?): TypedTensor<T>;
    new TensorConstructornew (data, dims?): TypedTensor<"float32">;
    new TensorConstructornew (data, dims?): TypedTensor<"int8">;
    new TensorConstructornew (data, dims?): TypedTensor<"uint8">;
    new TensorConstructornew (data, dims?): TypedTensor<"uint8">;
    new TensorConstructornew (data, dims?): TypedTensor<"uint16">;
    new TensorConstructornew (data, dims?): TypedTensor<"int16">;
    new TensorConstructornew (data, dims?): TypedTensor<"int32">;
    new TensorConstructornew (data, dims?): TypedTensor<"int64">;
    new TensorConstructornew (data, dims?): TypedTensor<"string">;
    new TensorConstructornew (data, dims?): TypedTensor<"bool">;
    new TensorConstructornew (data, dims?): TypedTensor<"float64">;
    new TensorConstructornew (data, dims?): TypedTensor<"uint32">;
    new TensorConstructornew (data, dims?): TypedTensor<"uint64">;
    new TensorConstructornew (type, data, dims?): Tensor;
    new TensorConstructornew (data, dims?): Tensor;
    fromGpuBuffer<T>(buffer, options): TypedTensor<T>;
    fromImage(imageData, options?): Promise<TypedTensor<"float32"> | TypedTensor<"uint8">>;
    fromImage(imageElement, options?): Promise<TypedTensor<"float32"> | TypedTensor<"uint8">>;
    fromImage(urlSource, options?): Promise<TypedTensor<"float32"> | TypedTensor<"uint8">>;
    fromImage(bitmap, options): Promise<TypedTensor<"float32"> | TypedTensor<"uint8">>;
    fromMLTensor<T>(tensor, options): TypedTensor<T>;
    fromPinnedBuffer<T>(type, buffer, dims?): TypedTensor<T>;
    fromTexture<T>(texture, options): TypedTensor<"float32">;
}

Hierarchy (view full)

Constructors

constructor

Methods

fromGpuBuffer fromImage fromMLTensor fromPinnedBuffer fromTexture

Constructors

constructor

  • new TensorConstructor(type, data, dims?): TypedTensor<"string">

  • Construct a new string tensor object from the given type, data and dims.

    Parameters

    • type: "string"

      Specify the element type.

    • data: string[] | readonly string[]

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"string">

  • new TensorConstructor(type, data, dims?): TypedTensor<"bool">

  • Construct a new bool tensor object from the given type, data and dims.

    Parameters

    • type: "bool"

      Specify the element type.

    • data: Uint8Array | readonly boolean[]

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"bool">

  • new TensorConstructor(type, data, dims?): TypedTensor<"uint8">

  • Construct a new uint8 tensor object from a Uint8ClampedArray, data and dims.

    Parameters

    • type: "uint8"

      Specify the element type.

    • data: Uint8ClampedArray

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"uint8">

  • new TensorConstructor<T>(type, data, dims?): TypedTensor<T>

  • Construct a new 64-bit integer typed tensor object from the given type, data and dims.

    Type Parameters

    • T extends "int64" | "uint64"

    Parameters

    • type: T

      Specify the element type.

    • data: readonly number[] | DataTypeMap[T] | readonly bigint[]

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<T>

  • new TensorConstructor<T>(type, data, dims?): TypedTensor<T>

  • Construct a new numeric tensor object from the given type, data and dims.

    Type Parameters

    • T extends "float32" | "uint8" | "int8" | "uint16" | "int16" | "int32" | "float16" | "float64" | "uint32" | "uint4" | "int4"

    Parameters

    • type: T

      Specify the element type.

    • data: readonly number[] | DataTypeMap[T]

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<T>

  • new TensorConstructor(data, dims?): TypedTensor<"float32">

  • Construct a new float32 tensor object from the given data and dims.

    Parameters

    • data: Float32Array

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"float32">

  • new TensorConstructor(data, dims?): TypedTensor<"int8">

  • Construct a new int8 tensor object from the given data and dims.

    Parameters

    • data: Int8Array

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"int8">

  • new TensorConstructor(data, dims?): TypedTensor<"uint8">

  • Construct a new uint8 tensor object from the given data and dims.

    Parameters

    • data: Uint8Array

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"uint8">

  • new TensorConstructor(data, dims?): TypedTensor<"uint8">

  • Construct a new uint8 tensor object from the given data and dims.

    Parameters

    • data: Uint8ClampedArray

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"uint8">

  • new TensorConstructor(data, dims?): TypedTensor<"uint16">

  • Construct a new uint16 tensor object from the given data and dims.

    Parameters

    • data: Uint16Array

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"uint16">

  • new TensorConstructor(data, dims?): TypedTensor<"int16">

  • Construct a new int16 tensor object from the given data and dims.

    Parameters

    • data: Int16Array

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"int16">

  • new TensorConstructor(data, dims?): TypedTensor<"int32">

  • Construct a new int32 tensor object from the given data and dims.

    Parameters

    • data: Int32Array

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"int32">

  • new TensorConstructor(data, dims?): TypedTensor<"int64">

  • Construct a new int64 tensor object from the given data and dims.

    Parameters

    • data: BigInt64Array

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"int64">

  • new TensorConstructor(data, dims?): TypedTensor<"string">

  • Construct a new string tensor object from the given data and dims.

    Parameters

    • data: readonly string[]

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"string">

  • new TensorConstructor(data, dims?): TypedTensor<"bool">

  • Construct a new bool tensor object from the given data and dims.

    Parameters

    • data: readonly boolean[]

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"bool">

  • new TensorConstructor(data, dims?): TypedTensor<"float64">

  • Construct a new float64 tensor object from the given data and dims.

    Parameters

    • data: Float64Array

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"float64">

  • new TensorConstructor(data, dims?): TypedTensor<"uint32">

  • Construct a new uint32 tensor object from the given data and dims.

    Parameters

    • data: Uint32Array

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"uint32">

  • new TensorConstructor(data, dims?): TypedTensor<"uint64">

  • Construct a new uint64 tensor object from the given data and dims.

    Parameters

    • data: BigUint64Array

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<"uint64">

  • new TensorConstructor(type, data, dims?): Tensor

  • Construct a new tensor object from the given type, data and dims.

    Parameters

    • type: keyof DataTypeMap

      Specify the element type.

    • data: readonly string[] | readonly number[] | DataType | readonly boolean[] | readonly bigint[]

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns Tensor

  • new TensorConstructor(data, dims?): Tensor

  • Construct a new tensor object from the given data and dims.

    Parameters

    • data: DataType

      Specify the CPU tensor data.

    • Optional dims: readonly number[]

      Specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns Tensor

Methods

fromGpuBuffer

  • fromGpuBuffer<T>(buffer, options): TypedTensor<T>

  • create a tensor from a WebGPU buffer

    Type Parameters

    Parameters

    • buffer: GpuBufferTypeFallback

      the GPUBuffer object to create tensor from

    • options: TensorFromGpuBufferOptions<T>

      An optional object representing options for creating tensor from WebGPU buffer.

      The options include following properties:

      • dataType: the data type of the tensor. If omitted, assume 'float32'.
      • dims: the dimension of the tensor. Required.
      • download: an optional function to download the tensor data from GPU to CPU. If omitted, the GPU data will not be able to download. Usually, this is provided by a GPU backend for the inference outputs. Users don't need to provide this function.
      • dispose: an optional function to dispose the tensor data on GPU. If omitted, the GPU data will not be disposed. Usually, this is provided by a GPU backend for the inference outputs. Users don't need to provide this function.

    Returns TypedTensor<T>

    a tensor object

fromImage

  • fromImage(imageData, options?): Promise<TypedTensor<"float32"> | TypedTensor<"uint8">>

  • create a tensor from an ImageData object

    Parameters

    • imageData: ImageData

      the ImageData object to create tensor from

    • Optional options: TensorFromImageDataOptions

      An optional object representing options for creating tensor from ImageData.

      The following default settings will be applied:

      • tensorFormat: 'RGB'
      • tensorLayout: 'NCHW'
      • dataType: 'float32'

    Returns Promise<TypedTensor<"float32"> | TypedTensor<"uint8">>

    A promise that resolves to a tensor object

  • fromImage(imageElement, options?): Promise<TypedTensor<"float32"> | TypedTensor<"uint8">>

  • create a tensor from a HTMLImageElement object

    Parameters

    • imageElement: HTMLImageElement

      the HTMLImageElement object to create tensor from

    • Optional options: TensorFromImageElementOptions

      An optional object representing options for creating tensor from HTMLImageElement.

      The following default settings will be applied:

      • tensorFormat: 'RGB'
      • tensorLayout: 'NCHW'
      • dataType: 'float32'

    Returns Promise<TypedTensor<"float32"> | TypedTensor<"uint8">>

    A promise that resolves to a tensor object

  • fromImage(urlSource, options?): Promise<TypedTensor<"float32"> | TypedTensor<"uint8">>

  • create a tensor from URL

    Parameters

    • urlSource: string

      a string as a URL to the image or a data URL containing the image data.

    • Optional options: TensorFromUrlOptions

      An optional object representing options for creating tensor from URL.

      The following default settings will be applied:

      • tensorFormat: 'RGB'
      • tensorLayout: 'NCHW'
      • dataType: 'float32'

    Returns Promise<TypedTensor<"float32"> | TypedTensor<"uint8">>

    A promise that resolves to a tensor object

  • fromImage(bitmap, options): Promise<TypedTensor<"float32"> | TypedTensor<"uint8">>

  • create a tensor from an ImageBitmap object

    Parameters

    • bitmap: ImageBitmap

      the ImageBitmap object to create tensor from

    • options: TensorFromImageBitmapOptions

      An optional object representing options for creating tensor from URL.

      The following default settings will be applied:

      • tensorFormat: 'RGB'
      • tensorLayout: 'NCHW'
      • dataType: 'float32'

    Returns Promise<TypedTensor<"float32"> | TypedTensor<"uint8">>

    A promise that resolves to a tensor object

fromMLTensor

  • fromMLTensor<T>(tensor, options): TypedTensor<T>

  • create a tensor from a WebNN MLTensor

    Type Parameters

    Parameters

    • tensor: MLTensorTypeFallback

      the MLTensor object to create tensor from

    • options: TensorFromMLTensorOptions<T>

      An optional object representing options for creating tensor from a WebNN MLTensor.

      The options include following properties:

      • dataType: the data type of the tensor. If omitted, assume 'float32'.
      • dims: the dimension of the tensor. Required.
      • download: an optional function to download the tensor data from the MLTensor to CPU. If omitted, the MLTensor data will not be able to download. Usually, this is provided by the WebNN backend for the inference outputs. Users don't need to provide this function.
      • dispose: an optional function to dispose the tensor data on the WebNN MLTensor. If omitted, the MLTensor will not be disposed. Usually, this is provided by the WebNN backend for the inference outputs. Users don't need to provide this function.

    Returns TypedTensor<T>

    a tensor object

fromPinnedBuffer

  • fromPinnedBuffer<T>(type, buffer, dims?): TypedTensor<T>

  • create a tensor from a pre-allocated buffer. The buffer will be used as a pinned buffer.

    Type Parameters

    • T extends "float32" | "uint8" | "int8" | "uint16" | "int16" | "int32" | "int64" | "bool" | "float16" | "float64" | "uint32" | "uint64" | "uint4" | "int4"

    Parameters

    • type: T

      the tensor element type.

    • buffer: DataTypeMap[T]

      a TypedArray corresponding to the type.

    • Optional dims: readonly number[]

      specify the dimension of the tensor. If omitted, a 1-D tensor is assumed.

    Returns TypedTensor<T>

    a tensor object

fromTexture

  • fromTexture<T>(texture, options): TypedTensor<"float32">

  • create a tensor from a WebGL texture

    Type Parameters

    • T extends "float32" = "float32"

    Parameters

    • texture: WebGLTexture

      the WebGLTexture object to create tensor from

    • options: TensorFromTextureOptions<T>

      An optional object representing options for creating tensor from WebGL texture.

      The options include following properties:

      • width: the width of the texture. Required.
      • height: the height of the texture. Required.
      • format: the format of the texture. If omitted, assume 'RGBA'.
      • download: an optional function to download the tensor data from GPU to CPU. If omitted, the GPU data will not be able to download. Usually, this is provided by a GPU backend for the inference outputs. Users don't need to provide this function.
      • dispose: an optional function to dispose the tensor data on GPU. If omitted, the GPU data will not be disposed. Usually, this is provided by a GPU backend for the inference outputs. Users don't need to provide this function.

    Returns TypedTensor<"float32">

    a tensor object

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