2.3 KiB
2.3 KiB
LogicalAnd
Versioned name: LogicalAnd-1
Category: Logical binary operation
Short description: LogicalAnd performs element-wise logical AND operation with two given tensors applying multi-directional broadcast rules.
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: A tensor of type T. Required.
- 2: A tensor of type T. Required.
Outputs
- 1: The result of element-wise logical AND operation. A tensor of type boolean.
Types
- T: boolean type.
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 LogicalAnd does the following with the input tensors a and b:
\f[ o_{i} = a_{i} and b_{i} \f]
Examples
Example 1
<layer ... type="LogicalAnd">
<input>
<port id="0">
<dim>256</dim>
<dim>56</dim>
</port>
<port id="1">
<dim>256</dim>
<dim>56</dim>
</port>
</input>
<output>
<port id="2">
<dim>256</dim>
<dim>56</dim>
</port>
</output>
</layer>
Example 2: broadcast
<layer ... type="LogicalAnd">
<input>
<port id="0">
<dim>8</dim>
<dim>1</dim>
<dim>6</dim>
<dim>1</dim>
</port>
<port id="1">
<dim>7</dim>
<dim>1</dim>
<dim>5</dim>
</port>
</input>
<output>
<port id="2">
<dim>8</dim>
<dim>7</dim>
<dim>6</dim>
<dim>5</dim>
</port>
</output>
</layer>