Comments (2)
ccssu
commented on September 26, 2024
Description
I installed the Oneflow image（oneflowinc/oneflow:nightly-cuda11.7） through Docker and used one-yolov5-1.2.0 code, but encountered the following issue:
Alternatives
No response
The last maintenance for this project was at https://github.com/Oneflow-Inc/one-yolov5/tree/ppt_proj_demo. Please refer to the readme.md for installation instructions, and it is recommended to use a conda environment for installing OneFlow and its dependencies. Please use caution when utilizing this project, and if any issues arise, it is recommended to refer to the official project. For training, AMP (Automatic Mixed Precision) training can be used, which is expected to provide a 2x speedup.
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PussyCat0700
commented on September 26, 2024
I encountered the same type of problem when inferring libai implementation of Bert-Large.
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Related Issues (20)
- 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
- mps support
- [Question]: how to create python wheel package with so files HOT 2
- how to install specified version of oneflow by "pip install oneflow=xxx" HOT 2
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