HannWindow#

Domain: ai.onnx
Since version: 17

Generates a Hann window as described in the paper https://ieeexplore.ieee.org/document/1455106.

Inputs

size (T1): A scalar value indicating the length of the window.

Outputs

output (T2): A Hann window with length: size. The output has the shape: [size].

Type Constraints

T1: Constrain the input size to int32_t or int64_t. Allowed types: tensor(int32), tensor(int64).
T2: Constrain output types to numeric tensors. Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8).

Examples#

test_cc_hannwindow

Node:
  HannWindow(x) -> (y)

Inputs:
  x: shape=(), dtype=int32
    10

Outputs:
  y: shape=(10,), dtype=float32
    [0.        , 0.09549151, 0.3454915 , 0.6545085 , 0.9045085 , 1.        ,
     0.9045085 , 0.6545085 , 0.3454915 , 0.09549151]

test_cc_hannwindow_symmetric

Node:
  HannWindow(x) -> (y)
  Attributes:
    periodic = 0

Inputs:
  x: shape=(), dtype=int32
    10

Outputs:
  y: shape=(10,), dtype=float32
    [0.        , 0.11697778, 0.4131759 , 0.75      , 0.9698463 , 0.9698463 ,
     0.75      , 0.4131759 , 0.11697778, 0.        ]