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Megvii Engine Team 809d5056cd feat(mge/distributed): enable pt shm allreduce 4 years ago
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autodiff test(autograd): add more tests for higher order grad 3 years ago
core feat(autodiff): support higher order grad 3 years ago
data fix(mge/distributed): fix the mutli dataloader test error 4 years ago
distributed feat(mge/distributed): enable pt shm allreduce 3 years ago
experimental fix(autograd): make higher order grad experimental 3 years ago
functional fix(mge/functional): fix expand_dims for scalar 3 years ago
hub chore(mge): update copyright years 4 years ago
jit feat(profiler): imperative profiler support tracing 3 years ago
module feat(imperative/python): support pooling mode "average" for avg pool2d module 4 years ago
optimizer feat(imperative/autodiff): add grad clip 4 years ago
quantization fix(mge/quantization): fix a compute problem 4 years ago
random feat(imperative/opr): rebase rng refactoring to dev & add python module 4 years ago
tools feat(profiler): add memory flow format for profiler 3 years ago
utils feat(profiler): add memory flow format for profiler 3 years ago
__init__.py feat(mge): add mge._exit 3 years ago
device.py fix(device): fix get_device_count for xpu 4 years ago
dtr.py refactor(dtr): import dtr as submodule 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 fix(mge): correct pytype when calling apply from python 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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