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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_asr/src/UseCaseHandler.cc | |
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_asr/src/UseCaseHandler.cc')
-rw-r--r-- | source/use_case/kws_asr/src/UseCaseHandler.cc | 18 |
1 files changed, 10 insertions, 8 deletions
diff --git a/source/use_case/kws_asr/src/UseCaseHandler.cc b/source/use_case/kws_asr/src/UseCaseHandler.cc index 7025d6d..0560e88 100644 --- a/source/use_case/kws_asr/src/UseCaseHandler.cc +++ b/source/use_case/kws_asr/src/UseCaseHandler.cc @@ -159,7 +159,7 @@ namespace app { * this means an overlap of 0.5 seconds. */ auto kwsAudioDataStride = kwsAudioDataWindowSize / 2; - info("KWS audio data window size %u\n", kwsAudioDataWindowSize); + info("KWS audio data window size %" PRIu32 "\n", kwsAudioDataWindowSize); /* Stride must be multiple of mfcc features window stride to re-use features. */ if (0 != kwsAudioDataStride % kwsMfccWindowStride) { @@ -208,7 +208,7 @@ namespace app { str_inf.c_str(), str_inf.size(), dataPsnTxtInfStartX, dataPsnTxtInfStartY, false); - info("Running KWS inference on audio clip %u => %s\n", + info("Running KWS inference on audio clip %" PRIu32 " => %s\n", currentIndex, get_filename(currentIndex)); /* Start sliding through audio clip. */ @@ -329,7 +329,8 @@ namespace app { /* Make sure the input tensor supports the above context and inner lengths. */ if (asrInputRows <= 2 * asrInputCtxLen || asrInputRows <= asrInputInnerLen) { - printf_err("ASR input rows not compatible with ctx length %u\n", asrInputCtxLen); + printf_err("ASR input rows not compatible with ctx length %" PRIu32 "\n", + asrInputCtxLen); return false; } @@ -354,7 +355,8 @@ namespace app { /* Audio clip must have enough samples to produce 1 MFCC feature. */ std::vector<int16_t> audioBuffer = std::vector<int16_t>(audioArr, audioArr + audioArrSize); if (audioArrSize < asrMfccParamsWinLen) { - printf_err("Not enough audio samples, minimum needed is %u\n", asrMfccParamsWinLen); + printf_err("Not enough audio samples, minimum needed is %" PRIu32 "\n", + asrMfccParamsWinLen); return false; } @@ -485,7 +487,7 @@ 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; } @@ -525,11 +527,11 @@ namespace app { dataPsnTxtStartX1, rowIdx1, 0); rowIdx1 += dataPsnTxtYIncr; - info("For timestamp: %f (inference #: %u); threshold: %f\n", + info("For timestamp: %f (inference #: %" PRIu32 "); threshold: %f\n", results[i].m_timeStamp, results[i].m_inferenceNumber, results[i].m_threshold); for (uint32_t j = 0; j < results[i].m_resultVec.size(); ++j) { - info("\t\tlabel @ %u: %s, score: %f\n", j, + info("\t\tlabel @ %" PRIu32 ": %s, score: %f\n", j, results[i].m_resultVec[j].m_label.c_str(), results[i].m_resultVec[j].m_normalisedVal); } @@ -558,7 +560,7 @@ namespace app { /* Get the final result string using the decoder. */ std::string infResultStr = audio::asr::DecodeOutput(result.m_resultVec); - info("Result for inf %u: %s\n", result.m_inferenceNumber, + info("Result for inf %" PRIu32 ": %s\n", result.m_inferenceNumber, infResultStr.c_str()); } |