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MegEngine/imperative/python/megengine
Megvii Engine Team cc85047bf0 fix(mge/trace): fix sublinear in trace 4 years ago
..
autodiff feat(mge/distributed): allow remote grad by using grad manager 4 years ago
core fix(mge/trace): fix sublinear in trace 4 years ago
data refactor(mge/data): Refactor megeninge.data.dataset 4 years ago
distributed feat(mge/distributed): support distributed key-value store 4 years ago
functional feat(mge/functional): add elemwise mode support string input 4 years ago
hub docs(mge): pytest for sphinx docstring 4 years ago
jit fix(mge/trace): fix sublinear in trace 4 years ago
module perf(mge/module): optimize conv_bn qat module to improve performance 4 years ago
optimizer perf(mge/optimizer): close conver_inputs for optimizer step 4 years ago
quantization feat(mge/quantization): support distributed qat 4 years ago
random fix(mge/trace): fix random op in symbolic trace 4 years ago
utils feat(imperative): port persistent cache 4 years ago
__init__.py feat(imperative): port persistent cache 4 years ago
device.py feat(mge/device): add python binding for get_mem_status_bytes 4 years ago
logger.py docs(mge): pytest for sphinx docstring 4 years ago
serialization.py docs(mge): pytest for sphinx docstring 4 years ago
tensor.py docs(mge): pytest for sphinx docstring 4 years ago
version.py chore(version): bump version 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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