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MegEngine/imperative/python/megengine/module
Megvii Engine Team 3eb0505f9b feat(imperative): add support for quantized conv transpose2d 3 years ago
..
qat feat(imperative): add support for quantized conv transpose2d 3 years ago
quantized feat(imperative): add support for quantized conv transpose2d 3 years ago
__init__.py feat(mge/opr): add silu and gelu 3 years ago
activation.py feat(mge/opr): add silu and gelu 3 years ago
adaptive_pooling.py fix(mge/module): add kwargs param for all modules 4 years ago
batch_matmul_activation.py refactor(mge): use lower case for default string parameters in functional and module 4 years ago
batchnorm.py fix(mge): recover bn freeze fastpath execution 3 years ago
concat.py docs(mge): add missing docstring and fix sphinx build warnings 4 years ago
conv.py feat(imperative): add support for quantized conv transpose2d 3 years ago
conv_bn.py refactor(mge): use lower case for default string parameters in functional and module 4 years ago
deformable_psroi_pooling.py feat(mge/quantization): add name for quantized module 4 years ago
dropout.py fix(mge/module): add kwargs param for all modules 4 years ago
elemwise.py feat(mge/opr): add silu and gelu 3 years ago
embedding.py fix(mge/module): add kwargs param for all modules 4 years ago
external.py feat(imperative/src): python wrapper for cambricon and atlas runtime opr 4 years ago
identity.py refactor(mge/functional): move functional api 4 years ago
init.py chore(mge): update copyright years 4 years ago
linear.py feat(mge/amp): add mix precision autocast support 3 years ago
module.py fix(imperative/module): remove ``__getattribute__`` method in module 3 years ago
normalization.py fix(module): remove assert during forward 3 years ago
pooling.py docs(mge): refactor docs to remove warnings 3 years ago
quant_dequant.py chore(mge): update copyright years 4 years ago
sequential.py fix(mge/utils): fix auto naming bug when expanding structure 4 years ago
sliding_window.py feat(mge): add SlidingWindowTranspose opr 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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