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MegEngine/imperative/python/megengine
Megvii Engine Team d063d5774f perf(functional): use fma to reduce elemwise but disable subgraph compilation 3 years ago
..
amp docs(mge): fix amp docstring problems 3 years ago
autodiff feat(mge/amp): add GradScaler support 3 years ago
core perf(functional): use fma to reduce elemwise but disable subgraph compilation 3 years ago
data fix(mge/distributed): fix the mutli dataloader test error 4 years ago
distributed docs(mge/distributed): update distributed collective communication Google style docs 3 years ago
dtr feat(dtr): add sqrt sampling 3 years ago
experimental feat(mge/experimental): add WeightScaler support 3 years ago
functional perf(functional): use fma to reduce elemwise but disable subgraph compilation 3 years ago
hub feat(mge/hub/fetcher): add checking of mge version 3 years ago
jit perf(syncbn): reimplement with subgraph 3 years ago
module fix(mge/module): fix mistake warning message of module auto naming 3 years ago
optimizer fix(mge/optimizer): only disable convert inputs in build-in optimizers 3 years ago
quantization fix(mge/quantization): fix lsq init format error 3 years ago
random feat(mge/random): add some random op and remove random/distrbution.py 3 years ago
tools fix(mge/tools): fix module status error 3 years ago
utils fix(utils/network): fix replace oprs 3 years ago
__init__.py feat(mge/amp): add mix precision autocast support 3 years ago
device.py fix(device): fix get_device_count for xpu 4 years ago
logger.py fix(mge/logger): fix set_mgb_log_level 4 years ago
serialization.py fix(mge/tensor): fix tensor's serialization behavior 4 years ago
tensor.py docs(mge): fix amp docstring problems 3 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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