openvino.runtime.opset10.random_uniform#

openvino.runtime.opset10.random_uniform(output_shape: Node | int | float | ndarray, min_val: Node | int | float | ndarray, max_val: Node | int | float | ndarray, output_type: str, global_seed: int = 0, op_seed: int = 0, alignment: str = 'tensorflow', name: str | None = None) → 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.

  • alignment – Specifies alignment of the randomly generated numbers to a given framework. Possible values: ‘tensorflow’, ‘pytorch’. Default is ‘tensorflow’.

  • name – Optional output node name.

Returns:

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