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MegEngine/imperative/python/megengine/functional
Megvii Engine Team 5474538f39 refactor(mge/imperative): fork multipledispatch 4 years ago
..
__init__.py test(mge/parampack): add parampack related opr test 4 years ago
debug_param.py feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
distributed.py refactor(mge/imperative): fork multipledispatch 4 years ago
elemwise.py refactor(mge/functional): support tensor shape in interpolate and split 4 years ago
external.py feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
graph.py feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
loss.py refactor(mge/tensor): tensor reduce supports keepdims 4 years ago
math.py refactor(mge/tensor): tensor reduce supports keepdims 4 years ago
nn.py fix(functional): change to user-friendly nms api and fix concat 4 years ago
quantized.py feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
tensor.py fix(functional): change to user-friendly nms api and fix concat 4 years ago
types.py feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
utils.py docs(mge/functional): add doc for copy, param pack split and concat 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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