TensorFlowLiteSelectTfOps - Compile error

[thereallee]

Issue type

Bug

Have you reproduced the bug with TensorFlow Nightly?

No

Source

source

TensorFlow version

pod 'TensorFlowLiteSwift'   # or 'TensorFlowLiteObjC' 	pod 'TensorFlowLiteSelectTfOps', '~> 0.0.1-nightly'

Custom code

Yes

OS platform and distribution

iOS 16.2

Mobile device

iOS

Python version

No response

Bazel version

No response

GCC/compiler version

No response

CUDA/cuDNN version

No response

GPU model and memory

No response

Current behavior?

Podfile:

pod 'TensorFlowLiteSwift'   # or 'TensorFlowLiteObjC'
pod 'TensorFlowLiteSelectTfOps', '~> 0.0.1-nightly'

After fixing the '-force_load' issue, I now see this compiller error:

Inferred submodules require a module with an umbrella

Standalone code to reproduce the issue

Use the podfile as indicated above.

Disable user script sandboxing

Fix the force_update script bug

In a Swift file, have these two imports:

import TensorFlowLite
import TensorFlowLiteSelectTfOps


Try to build.

See the error on the "import TensorFlowLiteSelectTfOps" line

> Inferred submodules require a module with an umbrella

Relevant log output

No response

[pkgoogle]

Hi @thereallee, are you using an emulator or a real phone? The steps to integrate Select ops with iOS are different depending on that, so I want to understand your situation.

[thereallee]

Hi - I see essentially the same error when building for device and simulator. See attached.

Simulator build:

Device build: