Less¶

Versioned name : Less-1

Category : Comparison binary operation

Short description : Less performs element-wise comparison operation with two given tensors applying multi-directional broadcast rules.

Attributes :

• 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 comparison operation. A tensor of type boolean.

Types

• T : arbitrary supported type.

Detailed description Before performing arithmetic 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 Less does the following with the input tensors a and b :

$o_{i} = a_{i} < b_{i}$

Examples

Example 1

<layer ... type="Less">
<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>

<layer ... type="Less">
<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>