TensorCreationScope

Properties

abstract val dtype: KClass<T>

abstract val shape: Shape

open fun from(vararg data: Float): Tensor<T, V>

open fun from(vararg data: Int): Tensor<T, V>

open fun full(value: Number): Tensor<T, V>

open fun init(generator: (indices: IntArray) -> V): Tensor<T, V>

open fun ones(): Tensor<T, V>

open fun randN(mean: Float = 0.0f, std: Float = 1.0f, random: Random = Random.Default): Tensor<T, V>

Create tensor with normal distribution (legacy name)

open fun randn(mean: Float = 0.0f, std: Float = 1.0f, random: Random = Random.Default): Tensor<T, V>

open fun random(initBlock: (Shape) -> Tensor<T, V>): Tensor<T, V>

Advanced initialization with custom random distribution.

open fun randomInit(generator: (random: Random) -> V, random: Random = Random.Default): Tensor<T, V>

open fun uniform(min: Float = 0.0f, max: Float = 1.0f, random: Random = Random.Default): Tensor<T, V>

Create tensor with uniform distribution

open fun zeros(): Tensor<T, V>