Comments (1)
看起来您在尝试使用OneFlow的 nightly 安装包,nightly 安装包是使用 cuda 11.8 针对 75,80,86 三种 CUDA 架构设备编译,您的设备是61 CUDA架构的设备,且cuda版本为11.5,使用中会有问题。OneFlow 框架是支持 10.0 以上版本 cuda,支持 60 以上CUDA架构 设备编译的,您可以选择从源代码编译 OneFlow 使用,在CMake 命令中通过如 -DCMAKE_CUDA_ARCHITECTURES=61
指定 CUDA 架构,通过如 -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda -DCUDNN_ROOT_DIR=/usr/local/cudnn
指定使用的cuda和cudnn路径。我们之后也会更新README.md中的描述。
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Related Issues (20)
- Aborted (core dumped) in flow.nn.functional.conv_transpose1d
- Aborted (core dumped) in flow.nn.MaxPool2d
- Aborted (core dumped) in oneflow.nn.MaxPool1d
- Aborted (core dumped) in oneflow.nn.MaxPool3d
- Aborted (core dumped) in oneflow.nn.functional.avg_pool1d
- Aborted (core dumped) in flow.randn
- Aborted (core dumped) in flow.QatConv1d
- Aborted (core dumped) in flow.QatConv2d
- Aborted (core dumped) in flow.QatConv3d
- Aborted (core dumped) in oneflow.nn.functional.avg_pool2d
- Aborted (core dumped) in oneflow.nn.functional.avg_pool3d
- [Feature Request]: svd operator
- Aborted (core dumped) in `oneflow.rand/zeros/ones`
- Aborted (core dumped) in `flow.nn.ConvTranspose1d/ConvTranspose2d/ConvTranspose3d`
- Aborted (core dumped) in `flow.nn.ReplicationPad2d/ReplicationPad1d`
- Aborted (core dumped) in `flow.nn.MaxUnpool1d/MaxUnpool2d/MaxUnpool3d`
- Aborted (core dumped) in `flow.nn.AdaptiveAvgPool1d/AdaptiveAvgPool2d/AdaptiveAvgPool3d`
- Aborted (core dumped) in `flow.nn.AdaptiveMaxPool1d/AdaptiveMaxPool2d/AdaptiveMaxPool3d`
- 使用静态图推理时,当输入数量改变,静态图必须要重编吗,请问如何可以不用重编呢 HOT 2
- Inception_v3多卡错误
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