ESP-DL Release v2.0
We're excited to announce the release of ESP-DL v2.0! This is a significant update which includes new features and improvements over the previous version.
New Features
Introduction of TVM: In this new release, we have introduced support for TVM. TVM is an open-source machine learning compiler stack that aims to enable efficient deployment of machine learning models on a variety of hardware platforms. This integration significantly streamlines the process of deploying models, providing a seamless workflow from training to deployment. Now, you can easily deploy your models trained with popular platforms such as TensorFlow and PyTorch using TVM, improving efficiency and flexibility.
New Documentation System with ESP-Docs: We're happy to announce that we've adopted the ESP-Docs system to build our documentation. This new system provides an improved user experience and allows us to maintain up-to-date and comprehensive documentation. We're confident that this change will make it even easier for users to find the information they need. You can now view our documentation on the web at ESP-DL User Guide.
Feedback
We hope you find the new TVM integration and updated documentation system helpful in improving your model deployment workflows. If you have any questions or encounter any issues, please submit a issue.
Thank you for supporting ESP-DL!