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For the case of ndarray, var a = ndarray.arange(2,3); var b = ndarray.arange(2,3); (these work, but not for staticTensor and dynamicTensor).
  • Iainmon
  • Opened 
    15 days ago
  • #42

Propagate efficient ndarray and staticTensor scalar+tensor operations such as // lib/NDArray.chpl operator +(a: ndarray(?rank,?eltType),c: ?scalarType): ndarray(rank,eltType) where isNumericType(scalarType) ...
  • Iainmon
  • Opened 
    15 days ago
  • #41

Propagate efficient NDArray scalar+tensor operations such as operator +(a: ndarray(?rank,?eltType),c: ?scalarType): ndarray(rank,eltType) where isNumericType(scalarType) do return ndarray.scalarMapOp( ...
  • Iainmon
  • Opened 
    15 days ago
  • #39

https://github.com/Iainmon/ChAI/blob/a447591c752623c92019ce72b7aaec9c3c372d8a/lib/NDArray.chpl#L749-L772 What is hardsigmoid? @BrandynTucknott
  • Iainmon
  • Opened 
    28 days ago
  • #34

Github actions at `.github/actions/hello-action` paired with locally tested `Dockerfile` image at `docker/chapel-pytorch-test/.` at commit [054f330](https://github.com/Iainmon/ChAI/pull/29/commits/054f330d0bbe50703180fbe974cb1c7d83b2702d) ...
  • Iainmon
  • Opened 
    on Feb 1
  • #31

The system that keeps track of a module s children, their names, order, etc. is overcomplicated and should be fixed. It will impact how users interact with their models. In lib/Network.chpl, we have, ...
  • Iainmon
  • Opened 
    on Oct 5, 2024
  • #13

The model.loadPyTorchDump() function does not handle nested module within Sequential layers, and is unable to track the layer names correctly to import the files. Ex: If we have a model from pytorch: ...
  • ShreyasKhandekar
  • 2
  • Opened 
    on Oct 1, 2024
  • #10

See https://pytorch.org/docs/stable/generated/torch.nn.AvgPool1d.html#avgpool2d and https://pytorch.org/docs/stable/generated/torch.nn.AdaptiveAvgPool2d.html#torch.nn.AdaptiveAvgPool2d for reference.
  • ShreyasKhandekar
  • 1
  • Opened 
    on Oct 1, 2024
  • #9

maxPool currently only takes in a single integral parameter which creates a square kernel. It should be simple enough to implement this to also support passing a two-tuple to support arbitrary kernel ...
  • ShreyasKhandekar
  • 1
  • Opened 
    on Oct 1, 2024
  • #8

Currently Conv2d in ChAI does not support a parameter for padding. Although this can potentially be done without Conv2d having to support it as a parameter, it would be nice if we could support it to add ...
  • ShreyasKhandekar
  • 2
  • Opened 
    on Oct 1, 2024
  • #7
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