# profiler-ui

**Repository Path**: mirrors_tensorflow/profiler-ui

## Basic Information

- **Project Name**: profiler-ui
- **Description**: [Deprecated] The TensorFlow Profiler (TFProf) UI provides a visual interface for profiling TensorFlow models.
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-22
- **Last Updated**: 2026-02-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Note: This project has been deprecated in favor of TensorBoard

https://www.tensorflow.org/tensorboard/r2/tensorboard_profiling_keras

# TensorFlow Profiler UI

The TensorFlow Profiler (TFProf) UI provides a visual interface for profiling TensorFlow models.

# Installation
1) Install Python dependencies.
   ```s
   pip install --user -r requirements.txt
   ```
2) Install [pprof](https://github.com/google/pprof#building-pprof).
3) Create a profile context file using the [tf.contrib.tfprof.ProfileContext](https://github.com/tensorflow/tensorflow/blob/v1.8.0/tensorflow/python/profiler/profile_context.py#L110-L148) class.
3) Start the UI.
   ```s
   python ui.py --profile_context_path=/path/to/your/profile.context
   ```

# Learn more
You can learn more about the TensorFlow Profiler's Python API and CLI [here](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/profiler/README.md#quick-start).

# Screenshot
<img src="docs/images/preview.png">

# Browser support
Currently only [Chrome](https://www.google.com/chrome/) is supported.

# Contributing
Please see [our contributor's guide](/CONTRIBUTING.md)

# Feature requests
Want ideas for ways to contribute to the TensorFlow Profiler UI? Here are some requested features: 
- Support multiple profile contexts at once ([#11](https://github.com/tensorflow/profiler-ui/issues/11))