Versioned name: Maximum-1
Short description: Maximum performs element-wise maximum operation with two given tensors applying multi-directional broadcast rules.
OpenVINO description: This OP is as same as OpenVINO OP
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.
Default value: “numpy”
1: A tensor of type T. Required.
2: A tensor of type T. Required.
1: The result of element-wise maximum operation. A tensor of type T.
T: arbitrary type, which supports less/greater comparison.
Before performing arithmetic operation, input tensors a and b are
broadcast if their shapes are different and
auto_broadcast attributes is
none. Broadcasting is performed according to
After broadcasting Maximum does the following with the input tensors a and b: