**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 <ahref="https://github.com/onnx/onnx/blob/master/docs/Broadcasting.md">ONNX docs</a>.
* **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.