RandomUniform

Initializer that generates tensors with a uniform distribution.

Constructors

RandomUniform

fun RandomUniform(maxVal: Float = 1.0f, minVal: Float = 0.0f, seed: Long = 12L)

Creates a RandomUniform initializer.

apply

fun apply(fanIn: Int, fanOut: Int, tf: Ops, input: Operand<Float>, name: String): Assign<Float>

Adds an Assign Op to the graph to initialize a tensorflow variable as specified by the initializer.

initialize

open override fun initialize(fanIn: Int, fanOut: Int, tf: Ops, shape: Operand<Int>, name: String): Operand<Float>

Returns a Tensor object initialized as specified by the initializer.

toString

open override fun toString(): String

maxVal

val maxVal: Float = 1.0f

Lower bound of the range of random values to generate (inclusive).

minVal

val minVal: Float = 0.0f

Upper bound of the range of random values to generate (exclusive).

seed

val seed: Long = 12L

Used to create random seeds.