[meta-arago][master][PATCH 0/1] Fix TensorFlow Lite GStreamer pipeline failures

This patch series resolves runtime failures in GStreamer pipelines
that use TensorFlow Lite for object detection. The issue
was related to as undefined Abseil logging symbols when loading the tensorflow2-lite
NNStreamer plugin.
            
The root cause was incomplete linking of Abseil logging components in the
TensorFlow Lite shared library build. While the library loaded successfully,
specific logging symbols (_ZN4absl12lts_2025012712log_internal9kCharNullE,
ZN4absl12lts_2025012712log_internal10LogMessageC1EPKciNS2_8ErrorTagE) were
missing at runtime.
                                                                                                                                                                                                                  
The fix adds the missing Abseil logging targets (log_internal_nullguard,
log_internal_message, log_severity, raw_logging_internal) to both the CMake
module discovery and the tensorflow-lite target linking, ensuring all required
symbols are embedded in the shared library.

Pratham Deshmukh (1):
  tensorflow-lite: fix undefined Abseil logging symbols in shared
    library

 ...nsorFlow-Lite-pipeline-failures-due-.patch | 62 +++++++++++++++++++
 .../tensorflow-lite/tensorflow-lite_2.20.0.bb |  1 +
 2 files changed, 63 insertions(+)
 create mode 100644 meta-arago-extras/recipes-framework/tensorflow-lite/tensorflow-lite/0003-Fix-GStreamer-TensorFlow-Lite-pipeline-failures-due-.patch

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2.34.1