How to resolve Unable to determine swift version

[soumyamahunt]

When trying to package pod I am getting this following error:

[!] Unable to determine Swift version for the following pods:

- `AwesomeCache` does not specify a Swift version and none of the targets (`packager`) integrating it have the `SWIFT_VERSION` attribute set. Please contact the author or set the `SWIFT_VERSION` attribute in at least one of the targets that integrate this pod.
- `BarcodeScanner` does not specify a Swift version and none of the targets (`packager`) integrating it have the `SWIFT_VERSION` attribute set. Please contact the author or set the `SWIFT_VERSION` attribute in at least one of the targets that integrate this pod.
- `EasyTipView` does not specify a Swift version and none of the targets (`packager`) integrating it have the `SWIFT_VERSION` attribute set. Please contact the author or set the `SWIFT_VERSION` attribute in at least one of the targets that integrate this pod.

is there any way I can provide fall back swift version when determining fails?

[physxP]

Did you find any solution for this? Facing similar problem

[ryan-cha]

➕ 1
Having same issue, too!

[physxP]

I found a workaround. You basically add swift version inside modified podspec for your dependency library and host it on a private cocoapods repository.

For example for my project I needed tensorflow pod:

You can set up a private CocoaPods specs repository, and publish your custom TensorFlowLiteC framework to your private repo. You can copy this podspec file and modify a few values:

  ...
  s.swift_version    =  '5.0'
  ...
  s.version      = <your_desired_version_tag>
  ...
  # Note the `///`, two from the `file://` and one from the `/path`.
  s.source       = { :http => "file:///path/to/TensorFlowLiteC_framework.zip" }
  ...
  s.vendored_frameworks = 'TensorFlowLiteC.framework'
  ...

After creating your own TensorFlowLiteC.podspec file, you can follow the instructions on using private CocoaPods to use it in your own project. You can also modify the TensorFlowLite(Swift|ObjC).podspec to point to your custom TensorFlowLiteC pod and use either Swift or Objective-C pod in your app project.