Feature request: 3D conv
Open
- Dominant language
- Julia
- Stars
- 240
- Forks
- 18
- PR merge metrics
- No merged PRs in 30d
Description
Right now does not seem to support 3D convolutions. I tried to convert my model with a bunch of conv3D layers and I get
`
ERROR: LoadError: "expected output_padding to be a single integer value or a list of 3 values to match the convolution dimensions, but got output_padding=[0, 0]
`
Contributor guide
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Research direction
Start by tracing how convolution layers are converted and how output_padding is built for different convolution dimensions. Reproduce the reported conversion with a model containing Conv3D layers. Done means 3D convolutions convert without the output_padding dimension error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100