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.. _op_ai_onnx_RandomUniform-1:

RandomUniform - version 1
=========================

This page documents version **1** of operator **RandomUniform**. See :doc:`RandomUniform` for the latest version (since version 22).

- **Domain**: ``ai.onnx``
- **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.

**Outputs**

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

**Attributes**

- **dtype** (*int*): The data type for the elements of the output tensor. If not specified, default is TensorProto::FLOAT.
- **high** (*float*): Upper boundary of the output values.
- **low** (*float*): Lower boundary of the output values.
- **seed** (*float*): (Optional) Seed to the random generator, if not specified we will auto generate one.
- **shape** (*int[]*): The shape of the output tensor.

**Type Constraints**

- **T**: Constrain output types to float tensors.
  Allowed types: tensor(double), tensor(float), tensor(float16).