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MegEngine/imperative/python/megengine
Megvii Engine Team 0d4568d6f8 feat(mge): rename broadcast -> broadcast_to 4 years ago
..
autodiff feat(mge): rename broadcast -> broadcast_to 4 years ago
core feat(mge): rename broadcast -> broadcast_to 4 years ago
data docs(mge): docs typo fix 4 years ago
distributed docs(mge/distributed): add distributed.server docs 4 years ago
functional feat(mge): rename broadcast -> broadcast_to 4 years ago
hub docs(mge): docs typo fix 4 years ago
jit fix(mgb/trace): finalize when exception raise 4 years ago
module feat(mge): do not export F.nn.linear 4 years ago
optimizer docs(mge): docs typo fix 4 years ago
quantization feat(mge): remove add_update 4 years ago
random docs(mge): docs typo fix 4 years ago
utils docs(mge): fix docstring of cgtools 4 years ago
__init__.py refactor(mge/imperative): move cgtools to megengine.utils and add load_and_inference in cgtools 4 years ago
device.py feat(mge): add device name check 4 years ago
logger.py refactor(mge/log): use info as default log level 4 years ago
serialization.py docs(mge): fix docstring of cgtools 4 years ago
tensor.py feat(mge/device): __repr__ method will show physical device 4 years ago
version.py feat(mge/imperative): run oss test and restore cmake list build items 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

C++ Cuda Python C SVG other