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Megvii Engine Team 478f2c51dc feat(mge/jit): add trace/dump options 4 years ago
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autodiff refactor(mge/optimizer): refine gradmanager api, record = __enter__ 4 years ago
core feat(mge/jit): add trace/dump options 4 years ago
data feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
distributed refactor(mge/distributed): change bcast_params_ to bcast_list_ 4 years ago
functional fix(mge/parampack): fix copy stream, import cycle 4 years ago
hub feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
jit feat(mge/jit): add trace/dump options 4 years ago
module fix(mge/module): tensor shape will not work when constructing numpy array 4 years ago
optimizer refactor(mge/optimizer): refine gradmanager api, record = __enter__ 4 years ago
quantization feat(mge/examples): add trace & dump example of cifar10 quantization 4 years ago
random feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
test feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
utils fix(mge/parampack): fix copy stream, import cycle 4 years ago
__init__.py feat(whl/imperative): compat for build python whl imperative and legacy runtime 4 years ago
device.py feat(imperative): enable to() to copy to device 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 feat(imperative): enable to() to copy to device 4 years ago
tensor_nn.py feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
version.py feat(mge/imperative): run oss test and restore cmake list build items 4 years ago

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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