HannWindow¶
HannWindow - 17¶
Version¶
name: HannWindow (GitHub)
domain:
main
since_version:
17
function:
True
support_level:
SupportType.COMMON
shape inference:
True
This version of the operator has been available since version 17.
Summary¶
Generates a Hann window as described in the paper https://ieeexplore.ieee.org/document/1455106.
Function Body¶
The function definition for this operator.
<
domain: "",
opset_import: ["" : 17]
>
HannWindow <periodic,output_datatype>(size) => (output)
{
A0 = Constant <value: tensor = float {0.5}> ()
A1 = Constant <value: tensor = float {0.5}> ()
A2 = Constant <value: tensor = float {0}> ()
Zero = Constant <value: tensor = float {0}> ()
One = Constant <value: tensor = float {1}> ()
Two = Constant <value: tensor = float {2}> ()
Tau = Constant <value: tensor = float {6.28319}> ()
Periodic_Size_FP = Cast <to: int = 1> (size)
Symmetric_Size_FP = Sub (Periodic_Size_FP, One)
IsPeriodic = Constant <value_int: int = @periodic> ()
IsPeriodic_FP = Cast <to: int = 1> (IsPeriodic)
IsSymmetric_FP = Sub (One, IsPeriodic_FP)
Periodic_Component = Mul (Periodic_Size_FP, IsPeriodic_FP)
Symmetric_Component = Mul (Symmetric_Size_FP, IsSymmetric_FP)
Size_FP = Add (Periodic_Component, Symmetric_Component)
AngularIncrement = Div (Tau, Size_FP)
Range = Range (Zero, Periodic_Size_FP, One)
RangeAngular = Mul (Range, AngularIncrement)
TwoRangeAngular = Mul (RangeAngular, Two)
CosTwoRangeAngular = Cos (TwoRangeAngular)
A2_Component = Mul (A2, CosTwoRangeAngular)
CosRangeAngular = Cos (RangeAngular)
A1_Component = Mul (A1, CosRangeAngular)
Temp0 = Sub (A0, A1_Component)
Temp1 = Add (Temp0, A2_Component)
output = Cast <to: int = @output_datatype> (Temp1)
}
Attributes¶
output_datatype - INT (default is
'1'
):The data type of the output tensor. Strictly must be one of the values from DataType enum in TensorProto whose values correspond to T2. The default value is 1 = FLOAT.
periodic - INT (default is
'1'
):If 1, returns a window to be used as periodic function. If 0, return a symmetric window. When ‘periodic’ is specified, hann computes a window of length size + 1 and returns the first size points. The default value is 1.
Inputs¶
size (heterogeneous) - T1:
A scalar value indicating the length of the window.
Outputs¶
output (heterogeneous) - T2:
A Hann window with length: size. The output has the shape: [size].
Type Constraints¶
T1 in (
tensor(int32)
,tensor(int64)
):Constrain the input size to int64_t.
T2 in (
tensor(bfloat16)
,tensor(double)
,tensor(float)
,tensor(float16)
,tensor(int16)
,tensor(int32)
,tensor(int64)
,tensor(int8)
,tensor(uint16)
,tensor(uint32)
,tensor(uint64)
,tensor(uint8)
):Constrain output types to numeric tensors.