---
title: TensorFlow Processor
slug: litmusedge/tensorflow-processor
docTags: 
createdAt: 2024-08-06T18:54:52.610Z
---

The TensorFlow processor feeds time-series data to a TensorFlow model you've already created and trained.

## Why use the TensorFlow processor

Use this processor when your analytics flow needs to pass time-series values, rather than image data, into a TensorFlow model, for example, running an existing predictive-maintenance model against a stream of sensor readings.

## How it works

Point **Model Path** at your trained TensorFlow model. **Tags**, **Input Operation**, and **Output Operation** must match the names used when the model was created: **Tags** identifies which model to load if there's more than one, and **Input Operation** and **Output Operation** identify the tensors the model expects as input and returns as output.

**Number of Inputs** sets how many inputs are passed to the model. **Window Size** sets the size of the values array to process. **Time Shift Ms** shifts the output's timestamp by the specified number of milliseconds.

## Parameters

| **Parameter**      | **Details**                                                                                            |
| ------------------ | ------------------------------------------------------------------------------------------------------ |
| Model Path         | The file path of the pre-trained TensorFlow model.                                                     |
| Number of Inputs   | The number of inputs given to the TensorFlow model.                                                    |
| Tags               | Tags for loading the model. Separate multiple tags with commas.                                        |
| Input Operation    | The input tensor used when the model was created, usually the dictionary of values fed to the model.   |
| Output Operation   | The output tensor used when the model was created, usually the model's output.                         |
| Window Size        | The size of the values array to process.                                                               |
| Time Shift Ms      | How many milliseconds to shift the current timestamp by.                                               |
| Pass Through Value | Determines whether the processor's output is the model's result or the original unchanged input value. |