RandomUniform - 1#


  • name: RandomUniform (GitHub)

  • domain: main

  • since_version: 1

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 1.


Generate a tensor with random values drawn from a uniform distribution. The shape of the tensor is specified by the shape argument and the range by low and high.

The data type is specified by the ‘dtype’ argument. The ‘dtype’ argument must be one of the data types specified in the ‘DataType’ enum field in the TensorProto message.


  • dtype: The data type for the elements of the output tensor. If not specified, default is TensorProto::FLOAT. Default value is 1.

  • high: Upper boundary of the output values. Default value is 1.0.

  • low: Lower boundary of the output values. Default value is 0.0.

  • seed: (Optional) Seed to the random generator, if not specified we will auto generate one.

  • shape (required): The shape of the output tensor.


  • output (heterogeneous) - T: Output tensor of random values drawn from uniform distribution

Type Constraints

  • T in ( tensor(double), tensor(float), tensor(float16) ): Constrain output types to float tensors.