:nosearch:

.. _op_ai_onnx_RandomNormal-1:

RandomNormal - version 1
========================

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

- **Domain**: ``ai.onnx``
- **Since version**: 1

Generate a tensor with random values drawn from a normal distribution. The shape
of the tensor is specified by the ``shape`` argument and the parameter of the normal distribution
specified by ``mean`` and ``scale``.

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 normal distribution

**Attributes**

- **dtype** (*int*): The data type for the elements of the output tensor. Default is TensorProto::FLOAT.
- **mean** (*float*): The mean of the normal distribution.
- **scale** (*float*): The standard deviation of the normal distribution.
- **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).