Interface TensorConstructor

constructor

• new TensorConstructor(type: "string", data: string[] | readonly string[], dims?: readonly number[]): 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: "bool", data: Uint8Array | readonly boolean[], dims?: readonly number[]): 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<T>(type: T, data: readonly number[] | DataTypeMap[T] | readonly bigint[], dims?: readonly number[]): 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: T, data: readonly number[] | DataTypeMap[T], dims?: readonly number[]): 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"

  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: Float32Array, dims?: readonly number[]): 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: Int8Array, dims?: readonly number[]): 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: Uint8Array, dims?: readonly number[]): 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: Uint16Array, dims?: readonly number[]): 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: Int16Array, dims?: readonly number[]): 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: Int32Array, dims?: readonly number[]): 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: BigInt64Array, dims?: readonly number[]): 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: readonly string[], dims?: readonly number[]): 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: readonly boolean[], dims?: readonly number[]): 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: Float64Array, dims?: readonly number[]): 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: Uint32Array, dims?: readonly number[]): 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: BigUint64Array, dims?: readonly number[]): 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: keyof DataTypeMap, data: readonly string[] | readonly number[] | DataType | readonly boolean[] | readonly bigint[], dims?: readonly number[]): 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: DataType, dims?: readonly number[]): 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