RandomNormalLike#

RandomNormalLike - 1#

Version

  • name: RandomNormalLike (GitHub)

  • domain: main

  • since_version: 1

  • function:

  • support_level: SupportType.COMMON

  • shape inference: True

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

Summary

Attributes

  • dtype - INT : (Optional) The data type for the elements of the output tensor, if not specified, we will use the data type of the input tensor.

  • 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.

Inputs

  • input (heterogeneous) - T1:

Outputs

  • output (heterogeneous) - T2:

Type Constraints

  • T1 in ( tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Constrain to any tensor type. If the dtype attribute is not provided this must be a valid output type.

  • T2 in ( tensor(double), tensor(float), tensor(float16) ): Constrain output types to float tensors.

Examples