RandomUniform#
RandomUniform - 1#
Version
name: RandomUniform (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 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.
Attributes
dtype: The data type for the elements of the output tensor. If not specified, default is TensorProto::FLOAT. Default value is
1.high: Upper boundary of the output values. Default value is
1.0.low: Lower boundary of the output values. Default value is
0.0.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 uniform distribution
Type Constraints
T in ( tensor(double), tensor(float), tensor(float16) ): Constrain output types to float tensors.
Examples