Metadata-Version: 2.1
Name: femtoflow
Version: 0.1.8
Summary: Femtosense Model Optimization Toolkit
Home-page: https://github.com/femtosense/femtoflow
Author: Femtosense
Author-email: info@femtosense.ai
Project-URL: Source, https://github.com/femtosense/femtoflow
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: Cython
Requires-Dist: numpy
Requires-Dist: tensorflow
Requires-Dist: tensorflow-model-optimization
Requires-Dist: matplotlib
Requires-Dist: python-speech-features
Requires-Dist: parameterized
Requires-Dist: pytest
Requires-Dist: testbook
Requires-Dist: notebook
Requires-Dist: scipy
Requires-Dist: femtocrux

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# FemtoFlow

`femtoflow` is a Python package that enables pruning and quantization of TensorFlow models for optimized deployment to Femtosense's SPU (Sparse Processing Unit). The package provides a straightforward and flexible interface for reducing model size and complexity while maintaining high-performance inference on the SPU.

## Features

- **Pruning:** Reduce model size by removing unimportant connections and neurons from your TensorFlow model.
- **Quantization:** Lower the precision of weights and activations to reduce memory requirements and computational costs while preserving model accuracy.

## Getting Started

You can install `femtoflow` using `pip`:

`pip install femtoflow`

## Documentation

Detailed documentation for `femtoflow`, including tutorials, API reference, and examples, can be found on the official website: [https://femtoflow.femtosense.ai](https://femtoflow.femtosense.ai)
