2.8 KiB
GreaterEqual
@sphinxdirective
Versioned name: GreaterEqual-1
Category: Comparison binary
Short description: GreaterEqual performs element-wise comparison operation with two given
tensors applying broadcast rules specified in the auto_broadcast attribute.
Detailed description
Before performing arithmetic operation, input tensors a and b are broadcasted if their shapes are
different and auto_broadcast attribute is not none. Broadcasting is performed according to auto_broadcast value.
After broadcasting, GreaterEqual does the following with the input tensors a and b:
.. math::
o_{i} = a_{i} \geq b_{i}
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, description is available in :doc:
Broadcast Rules For Elementwise Operations <openvino_docs_ops_broadcast_rules> - pdpd - PaddlePaddle-style implicit broadcasting, description is available in :doc:
Broadcast Rules For Elementwise Operations <openvino_docs_ops_broadcast_rules>
-
Type: string
-
Default value: "numpy"
-
Required: no
-
Inputs
- 1: A tensor of type T and arbitrary shape. Required.
- 2: A tensor of type T and arbitrary shape. Required.
Outputs
- 1: The result of element-wise GreaterEqual operation applied to the input tensors. A tensor of type T_BOOL and shape equal to broadcasted shape of two inputs.
Types
- T: arbitrary supported type.
- T_BOOL:
boolean.
Examples
Example 1: no broadcast
.. code-block:: cpp
<layer ... type="GreaterEqual"> 256 56 256 56 256 56
Example 2: numpy broadcast
.. code-block:: cpp
<layer ... type="GreaterEqual"> 8 1 6 1 7 1 5 8 7 6 5
@endsphinxdirective