Bug in ImageClassifier.fsx

In the ImageClassifier.fsx example, the line below causes an error: Dimension -1 must be >= 0

let input_placeholder =
    graph.Placeholder
        (TFDataType.Float32, shape = TFShape(-1L, -1L, -1L, 3L),
         name = "new_input")

Removing the shape parameter allows the demo to run successfully. But something like this also works:

TFShape(Some ([|None; None; None; Some 3|] |> Array.map Dimension))

Should -1L be detected and mapped to None in the constructors, something like what happens in shape?

[moloneymb]

Oops, I didn’t see your response as I had not refreshed the issue page.

I would love to see a Transformer architecture, I haven’t had time to dig into it. There is the new one Transformer XL that’ll be really cool to see.

Slack is the F# Software Foundation Slack page, I believe you can join through here https://fsharp.nationbuilder.com/forms/user_sessions/new once signed up you should get a slack invite.

[moloneymb]

This should now be fixed.