Function randomUniform

  • randomUniform<R>(shape, minval?, maxval?, dtype?, seed?): Tensor<R>

  • Creates a tf.Tensor with values sampled from a uniform distribution.

    The generated values follow a uniform distribution in the range [minval, maxval). The lower bound minval is included in the range, while the upper bound maxval is excluded.

    tf.randomUniform([2, 2]).print();

    Type Parameters

    • R extends Rank

    Parameters

    • shape: ShapeMap[R]

      An array of integers defining the output tensor shape.

    • Optional minval: number

      The lower bound on the range of random values to generate. Defaults to 0.

    • Optional maxval: number

      The upper bound on the range of random values to generate. Defaults to 1.

    • Optional dtype: keyof DataTypeMap

      The data type of the output tensor. Defaults to 'float32'.

    • Optional seed: string | number

      An optional int. Defaults to 0. If seed is set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed.

    Returns Tensor<R>

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