openvino.runtime.opset13.random_uniform

openvino.runtime.opset13.random_uniform(output_shape: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], min_val: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], max_val: Union[openvino._pyopenvino.Node, int, float, numpy.ndarray], output_type: str, global_seed: int = 0, op_seed: int = 0) → openvino._pyopenvino.Node

Return a node which generates sequence of random values from uniform distribution.

Parameters

• output_shape – Tensor with shape of the output tensor.

• min_val – Tensor with the lower bound on the range of random values to generate.

• max_val – Tensor with the upper bound on the range of random values to generate.

• output_type – Specifies the output tensor type, possible values: ‘i64’, ‘i32’, ‘f64’, ‘f32’, ‘f16’, ‘bf16’.

• global_seed – Specifies global seed value. Required to be a positive integer or 0.

• op_seed – Specifies operational seed value. Required to be a positive integer or 0.

Returns

The new node which performs generation of random values from uniform distribution.