Mod

Versioned name: Mod-1

Category: Arithmetic binary operation

Short description: Mod returns an element-wise division reminder with two given tensors applying multi-directional broadcast rules. The result here is consistent with a truncated divide (like in C programming language): truncated(x / y) * y + truncated_mod(x, y) = x. The sign of the result is equal to a sign of a dividend.

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 element-wise division reminder. A tensor of type T.

Types

• T: any numeric type.

Examples

Example 1

<layer ... type="FloorMod">
    <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="FloorMod">
    <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>