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author | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2021-05-07 16:08:14 +0100 |
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committer | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2021-05-07 17:28:51 +0100 |
commit | f9c19eaa9ab11e4409679fc6d2862c89410493a7 (patch) | |
tree | b791a4c03f1fe986a2ac32593a3dc817ae3f247a /source/use_case/kws | |
parent | 2181d0ac35f30202985a877950c88325ff665f6b (diff) | |
download | ml-embedded-evaluation-kit-f9c19eaa9ab11e4409679fc6d2862c89410493a7.tar.gz |
MLECO-1860: Support for Arm GNU Embedded Toolchain
This patch enables compilation of ML use cases bare-metal applications
using Arm GNU Embedded Toolchain. The GNU toolchain can be used instead
of the Arm Compiler that was already supported.
The GNU toolchain is also set as the default toolchain when building
applications for the MPS3 target.
Note: The version of GNU toolchain must be 10.2.1 or higher.
Change-Id: I5fff242f0f52d2db6c75d292f9fa990df1aec978
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
Diffstat (limited to 'source/use_case/kws')
-rw-r--r-- | source/use_case/kws/src/UseCaseHandler.cc | 10 |
1 files changed, 6 insertions, 4 deletions
diff --git a/source/use_case/kws/src/UseCaseHandler.cc b/source/use_case/kws/src/UseCaseHandler.cc index d61985d..eaf53c1 100644 --- a/source/use_case/kws/src/UseCaseHandler.cc +++ b/source/use_case/kws/src/UseCaseHandler.cc @@ -187,7 +187,7 @@ namespace app { platform.data_psn->present_data_text( str_inf.c_str(), str_inf.size(), dataPsnTxtInfStartX, dataPsnTxtInfStartY, 0); - info("Running inference on audio clip %u => %s\n", currentIndex, + info("Running inference on audio clip %" PRIu32 " => %s\n", currentIndex, get_filename(currentIndex)); /* Start sliding through audio clip. */ @@ -270,7 +270,7 @@ namespace app { static bool SetAppCtxClipIdx(ApplicationContext& ctx, uint32_t idx) { if (idx >= NUMBER_OF_FILES) { - printf_err("Invalid idx %u (expected less than %u)\n", + printf_err("Invalid idx %" PRIu32 " (expected less than %u)\n", idx, NUMBER_OF_FILES); return false; } @@ -313,13 +313,15 @@ namespace app { rowIdx1 += dataPsnTxtYIncr; if (results[i].m_resultVec.empty()) { - info("For timestamp: %f (inference #: %u); label: %s; threshold: %f\n", + info("For timestamp: %f (inference #: %" PRIu32 + "); label: %s; threshold: %f\n", results[i].m_timeStamp, results[i].m_inferenceNumber, topKeyword.c_str(), results[i].m_threshold); } else { for (uint32_t j = 0; j < results[i].m_resultVec.size(); ++j) { - info("For timestamp: %f (inference #: %u); label: %s, score: %f; threshold: %f\n", + info("For timestamp: %f (inference #: %" PRIu32 + "); label: %s, score: %f; threshold: %f\n", results[i].m_timeStamp, results[i].m_inferenceNumber, results[i].m_resultVec[j].m_label.c_str(), |