This is the Windows app named tvm whose latest release can be downloaded as ApacheTVMv0.11.1.zip. It can be run online in the free hosting provider OnWorks for workstations.
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- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
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tvm
DESCRIPTION
Apache TVM is an open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators. It aims to enable machine learning engineers to optimize and run computations efficiently on any hardware backend. The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging machine learning models for any hardware platform. Compilation of deep learning models in Keras, MXNet, PyTorch, Tensorflow, CoreML, DarkNet and more. Start using TVM with Python today, build out production stacks using C++, Rust, or Java the next day.
Features
- Compilation of deep learning models into minimum deployable modules
- Infrastructure to automatic generate and optimize models on more backend with better performance
- Compilation and minimal runtimes commonly unlock ML workloads on existing hardware
- CPUs, GPUs, browsers, microcontrollers, FPGAs and more
- Automatically generate and optimize tensor operators on more backends
- TVM adopts apache committer model
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/tvm.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
