This is the Windows app named Jittor whose latest release can be downloaded as 1.3.10.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Jittor
DESCRIPTION
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement learning, etc. The front-end language is Python. Module Design and Dynamic Graph Execution is used in the front-end, which is the most popular design for deep learning framework interface. The back-end is implemented by high-performance languages, such as CUDA, C++. Jittor'op is similar to NumPy. Let's try some operations. We create Var a and b via operation jt.float32, and add them. Printing those variables shows they have the same shape and dtype.
Features
- Requires Python version >= 3.7
- Supports g++ (>=5.4.0)
- Works with clang (>=8.0)
- Requires x86_64 CPU processor
- In Windows, jittor will automatically detect and install CUDA
- Choose your back-end compiler
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/jittor.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
