Pow
Pow#
Versioned name: Pow-1
Category: Arithmetic
Short description: Pow performs element-wise power operation with two given tensors applying multi-directional broadcast rules.
OpenVINO description: This OP is as same as OpenVINO OP
Attributes:
auto_broadcast
Description: specifies rules used for auto-broadcasting of input tensors.
Range of values:
none - no auto-broadcasting is allowed, all input shapes should match
numpy - numpy broadcasting rules, aligned with ONNX Broadcasting. Description is available in ONNX docs.
Type: string
Default value: “numpy”
Required: no
Inputs
1: Base tensor. Required.
Type: T
2: Exponent tensor. Required.
Type: T
Outputs
1: The result of element-wise power operation. Required.
Type: T
Types:
T: f32, f16, bf16.
Note: Inputs and outputs have the same data type denoted by T. For example, if input is f32 tensor, then all other tensors have f32 data type.
Detailed description:
Before performing arithmetic operation, input tensors a and b are
broadcast if their shapes are different and auto_broadcast
attributes is
not none
. Broadcasting is performed according to auto_broadcast
value.
After broadcasting Pow does the following with the input tensors a and b: