RandomNormal#
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: The data type for the elements of the output tensor. Default is TensorProto::FLOAT. Default value is
1.mean: The mean of the normal distribution. Default value is
0.0.scale: The standard deviation of the normal distribution. Default value is
1.0.seed: (Optional) Seed to the random generator, if not specified we will auto generate one.
shape (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.
Examples