Subtract¶

Versioned name: Subtract-1

Category: Arithmetic binary

Short description: Subtract performs element-wise subtraction operation with two given tensors applying broadcasting rule 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 Subtract performs subtraction operation for the input tensors a and b using the formula below:

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

Attributes:

• Description: specifies rules used for auto-broadcasting of input tensors.

• Range of values:

• Type: string

• Default value: “numpy”

• Required: no

Inputs

• 1: A tensor of type T and arbitrary shape and rank. Required.

• 2: A tensor of type T and arbitrary shape and rank. Required.

Outputs

• 1: The result of element-wise subtraction operation. A tensor of type T with shape equal to broadcasted shape of the two inputs.

Types

• T: any numeric type.

Examples

Example 1

 <layer ... type="Subtract">
<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="Subtract">
<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>