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MegEngine/imperative/python/megengine
Megvii Engine Team 2762a55248 refactor(mge/jit): make trace return any kind of output 4 years ago
..
autodiff fix(mge/autodiff): check tensors to be attached 4 years ago
core docs(misc): correct docstring format broadly 4 years ago
data docs(misc): correct docstring format broadly 4 years ago
distributed fix(mge/distributed): fix gather scatter reduce broadcast autodiff 4 years ago
functional refactor(mge/functional): remove dependence to trace in functional implementations 4 years ago
hub chore(mge): update copyright years 4 years ago
jit refactor(mge/jit): make trace return any kind of output 4 years ago
module docs(mge/module): add note about weight shape in conv 4 years ago
optimizer feat(imperative/autodiff): add grad clip 4 years ago
quantization fix(mge/quantization): fix a compute problem 4 years ago
random feat(imperative/opr): rebase rng refactoring to dev & add python module 4 years ago
tools feat(mge/tools): optimize statistical tools 4 years ago
utils feat(mge/tools): optimize statistical tools 4 years ago
__init__.py refactor(mge/dtr): update dtr api 4 years ago
device.py fix(device): fix get_device_count for xpu 4 years ago
dtr.py refactor(mge/dtr): update dtr api 4 years ago
logger.py fix(mge/logger): fix set_mgb_log_level 4 years ago
serialization.py fix(mge/tensor): fix tensor's serialization behavior 4 years ago
tensor.py docs(misc): correct docstring format broadly 4 years ago
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MegEngine 安装包中集成了使用 GPU 运行代码所需的 CUDA 环境，不用区分 CPU 和 GPU 版。 如果想要运行 GPU 程序，请确保机器本身配有 GPU 硬件设备并安装好驱动。 如果你想体验在云端 GPU 算力平台进行深度学习开发的感觉，欢迎访问 MegStudio 平台

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