Xcode debugging broken with Swift for TensorFlow toolchains
I encountered this problem, and the warning info as following: Cannot load Swift type information; AST validation error in "LeNet_MNIST": The module file format is too new to be used by this version of the debugger.AST validation error in "ImageClassificationModels": The module file format is too new to be used by this version of the debugger.AST validation error in "Datasets": The module file format is too new to be used by this version of the debugger.AST validation error in "Datasets": The module file format is too new to be used by this version of the debugger.AST validation error in "ImageClassificationModels": The module file format is too new to be used by this version of the debugger. my Xcode version is: 11.3 swift for tensorflow is: development snapshot 2020-01-30 what's the solution to this problem?
This seems like a duplicate of your comment here: https://github.com/tensorflow/swift/issues/89#issuecomment-583221183.
This issue is tracked at SR-12127. It's actually an issue in Xcode: Xcode uses system
lldbinstead oflldbfrom the active toolchain. The occurs even for swift.org/download toolchains and isn't specific to Swift for TensorFlow.Unfortunately, our team can't help fix this issue since Xcode is closed source. I'll leave this issue open until SR-12127 is fixed.
Sorry about this. It appears to be out of our hands. ‾\(ツ)/‾
I'll leave this issue open until SR-12127 is resolved!
Is there anywhere we can track this? SR-12127 is closed since it's an xcode issue, anywhere we can track the xcode issue?
Unfortunately, once it goes into the internal Apple system, we have no way to track. We can keep this Github issue open until we test that a fix works in Xcode.
On Fri, Mar 13, 2020 at 1:43 PM Andre Carrera [email protected] wrote:
Is there anywhere we can track this? SR-12127 https://bugs.swift.org/browse/SR-12127 is closed since it's an xcode issue, anywhere we can track the xcode issue?
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