2.7 KiB
LogicalOr
@sphinxdirective
Versioned name: LogicalOr-1
Category: Logical binary
Short description: LogicalOr performs element-wise logical OR operation with two given tensors applying multi-directional broadcast rules.
Detailed description: Before performing logical operation, input tensors a and b are broadcasted if their shapes are different and auto_broadcast attributes is not none. Broadcasting is performed according to auto_broadcast value.
After broadcasting LogicalOr does the following with the input tensors a and b:
.. math::
o_{i} = a_{i} \lor 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 must 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_BOOL and arbitrary shape. Required.
- 2: A tensor of type T_BOOL and arbitrary shape. Required.
Outputs
- 1: The result of element-wise LogicalOr operation. A tensor of type T_BOOL and the same shape equal to broadcasted shape of two inputs.
Types
- T_BOOL:
boolean.
Examples
Example 1: no broadcast
.. code-block:: cpp
<layer ... type="LogicalOr"> 256 56 256 56 256 56
Example 2: numpy broadcast
.. code-block:: cpp
<layer ... type="LogicalOr"> 8 1 6 1 7 1 5 8 7 6 5
@endsphinxdirective