MegEngine
mtensor
| MegEngine | mtensor | |
|---|---|---|
| 5 | 2 | |
| 4,718 | 159 | |
| 0.1% | 0.0% | |
| 8.9 | 2.6 | |
| 8 days ago | almost 1 year ago | |
| C++ | C++ | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MegEngine
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How to speedup 31*31 conv 10 times
The Real Performance in MegEngine
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[P] Train Model 3x as large with Dynamic Tensor Rematerialization
In Deep Learning you can trade space for compute by recomputing activation in backpropagation phase, known as gradient checkpointing. Classical gradient checkpointing algorithm is great but they dont work for eager execution. Dynamic Tensor Rematerialization(DTR) is a gradient checkpointing algorithm that work with eager execution, and is implemented at Megenine, a deep learning framework. Read this blogpost to learn more!
- Training 3x larger model on the same GPU cards
mtensor
What are some alternatives?
DALI - A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
ArrayFire - ArrayFire: a general purpose GPU library.
executorch - On-device AI across mobile, embedded and edge for PyTorch
CuTeLib - CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
cudf - cuDF - GPU DataFrame Library
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
cupy - NumPy & SciPy for GPU
taco - The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
Open3D - Open3D: A Modern Library for 3D Data Processing