RandomUniformLike#
RandomUniformLike - 1#
Version
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.
high - FLOAT : Upper boundary of the output values.
low - FLOAT : Lower boundary of the output values.
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