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MegEngine/imperative/python/megengine
Megvii Engine Team 7838ba94c0 chore(version): bump version 4 years ago
..
autodiff docs(mge/imperative): add docstring for GradManager 4 years ago
core feat(mge/dump): add more options for megbrain_graph.dump_graph 4 years ago
data docs(mge): fix doctest 4 years ago
distributed fix(mge/parampacksplit): fix parampacksplit refcnt error 4 years ago
functional fix(functional): hide format interface and skip test_conv_bias 4 years ago
hub feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
jit feat(mge/dump): add more options for megbrain_graph.dump_graph 4 years ago
module refactor(mge): add some deprecation and migration guides 4 years ago
optimizer refactor(mge): add some deprecation and migration guides 4 years ago
quantization refactor(mge): polish api 4 years ago
random docs(mge): fix doctest 4 years ago
test feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
utils feat(mge/plugin): add load_binary_tensor, copybara add comp_binary_iodump 4 years ago
__init__.py feat(mge/imperative): add graph load and cgtools for imperative 4 years ago
device.py feat(mgb/comp_node): add set_prealloc_config 4 years ago
logger.py feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
serialization.py feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
tensor.py refactor(mge): add some deprecation and migration guides 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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