1adrianb / 1adrianb/binary-face-alignment
conversion from bnn.SpatialConvolution and bnn.binary to nn or cudnn
- Dominant language
- Lua
- Stars
- 147
- Forks
- 43
- PR merge metrics
- No merged PRs in 30d
Description
I was trying to convert this model into CPU supported device(nn), was able to convert some of the layers using cudnn.convert, but getting stuck at layers from bnn.torch, has anyone converted bnn layers to nn or cudnn.
any help would be appreciated.
Thank you
Contributor guide
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Research direction
The issue mentions converting bnn.SpatialConvolution and bnn.binary layers to nn or cudnn for CPU support. Look at the model definition in the repository to identify where these bnn layers are used. Research the bnn.torch library to understand the layer interfaces and how they differ from standard nn layers. Check if there are existing conversion utilities or if manual reimplementation is needed, then test the converted model on CPU.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- lua
- Domain
- ai-infra-agents, computer-vision
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100