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
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>