RandomNormal

RandomNormal - 22

Version

  • name: RandomNormal (GitHub)

  • domain: main

  • since_version: 22

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 22.

Summary

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.

Attributes

  • dtype - INT (default is '1'):

    The data type for the elements of the output tensor. Default is TensorProto::FLOAT.

  • mean - FLOAT (default is '0.0'):

    The mean of the normal distribution.

  • scale - FLOAT (default is '1.0'):

    The standard deviation of the normal distribution.

  • seed - FLOAT :

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

  • shape - INTS (required) :

    The shape of the output tensor.

Outputs

  • output (heterogeneous) - T:

    Output tensor of random values drawn from normal distribution

Type Constraints

  • T in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16) ):

    Constrain output types to float tensors.

RandomNormal - 1

Version

  • name: RandomNormal (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.

Summary

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.

Attributes

  • dtype - INT (default is '1'):

    The data type for the elements of the output tensor. Default is TensorProto::FLOAT.

  • mean - FLOAT (default is '0.0'):

    The mean of the normal distribution.

  • scale - FLOAT (default is '1.0'):

    The standard deviation of the normal distribution.

  • seed - FLOAT :

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

  • shape - INTS (required) :

    The shape of the output tensor.

Outputs

  • output (heterogeneous) - T:

    Output tensor of random values drawn from normal distribution

Type Constraints

  • T in ( tensor(double), tensor(float), tensor(float16) ):

    Constrain output types to float tensors.