mtensor
a c++/cuda template library for tensor lazy evaluation (by matazure)
MegEngine
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架 (by MegEngine)
| mtensor | MegEngine | |
|---|---|---|
| 2 | 5 | |
| 159 | 4,722 | |
| 0.0% | 0.2% | |
| 2.6 | 8.9 | |
| about 1 year ago | 16 days ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
mtensor
Posts with mentions or reviews of mtensor.
We have used some of these posts to build our list of alternatives
and similar projects.
MegEngine
Posts with mentions or reviews of MegEngine.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-25.
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How to speedup 31*31 conv 10 times
The Real Performance in MegEngine
-
[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
What are some alternatives?
When comparing mtensor and MegEngine you can also consider the following projects:
ArrayFire - ArrayFire: a general purpose GPU library.
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.
CuTeLib - CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects
executorch - On-device AI across mobile, embedded and edge for PyTorch
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.