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MegEngine/imperative/python/megengine
Megvii Engine Team 477820fe5d refactor(mge): apply python-module changes 4 years ago
..
autodiff docs(mge/imperative): add docstring for GradManager 4 years ago
core refactor(mge/imperative): move cgtools to megengine.utils and add load_and_inference in cgtools 4 years ago
data refactor(mge): apply python-module changes 4 years ago
distributed perf(mge/allreduce): put allreduce on another cuda stream 4 years ago
functional fix(mge/functional): fix trace warp_perspective 4 years ago
hub feat(mge/imperative): run oss test and restore cmake list build items 4 years ago
jit fix(mge): fix optimize_for_inference during trace.dump 4 years ago
module refactor(mge): apply python-module changes 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 refactor(mge/imperative): move cgtools to megengine.utils and add load_and_inference in 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(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 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

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