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authorKshitij Sisodia <kshitij.sisodia@arm.com>2022-12-05 17:18:50 +0000
committerKshitij Sisodia <kshitij.sisodia@arm.com>2022-12-06 09:15:05 +0000
commit47406feb4b2aed29942d7e89cab882ea797dbf7e (patch)
tree1d95943c36f1935a893613fbdb013a7a8b7de2fb /scripts/cmake
parent71f282e8dc7284431cd6d0305370cc8e450d4463 (diff)
downloadml-embedded-evaluation-kit-47406feb4b2aed29942d7e89cab882ea797dbf7e.tar.gz
MLECO-3710: Fix for freshly updated submodule build issue.
TensorFlow Lite Micro can have stale third party components downloaded by an older version. On a submodule update, our recommendation to users would be to use `-DTENSORFLOW_LITE_MICRO_CLEAN_DOWNLOADS=ON` to clean the older downloads. Moving the triggered cleaning and refresh to CMake configuration stage (with no parallel build option). This should have a better chance of success with the subsequent build step. Change-Id: I305439c09658f49765ecc15eb1ce0c8b914dd30a
Diffstat (limited to 'scripts/cmake')
-rw-r--r--scripts/cmake/tensorflow.cmake11
1 files changed, 10 insertions, 1 deletions
diff --git a/scripts/cmake/tensorflow.cmake b/scripts/cmake/tensorflow.cmake
index d807416..29d5bce 100644
--- a/scripts/cmake/tensorflow.cmake
+++ b/scripts/cmake/tensorflow.cmake
@@ -71,7 +71,16 @@ else()
endif()
if (TENSORFLOW_LITE_MICRO_CLEAN_DOWNLOADS)
- list(APPEND MAKE_TARGETS_LIST "clean_downloads")
+ message(STATUS "Refreshing TensorFlow Lite Micro's third party downloads...")
+ execute_process(
+ COMMAND make -f ${TENSORFLOW_LITE_MICRO_PATH}/tools/make/Makefile clean_downloads third_party_downloads
+ RESULT_VARIABLE return_code
+ WORKING_DIRECTORY ${TENSORFLOW_SRC_PATH})
+ if (NOT return_code EQUAL "0")
+ message(FATAL_ERROR "Failed to clean TensorFlow Lite Micro's third party downloads.")
+ else()
+ message(STATUS "Refresh completed.")
+ endif ()
endif()
if (TENSORFLOW_LITE_MICRO_CLEAN_BUILD)