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authorKshitij Sisodia <kshitij.sisodia@arm.com>2022-05-06 09:13:03 +0100
committerKshitij Sisodia <kshitij.sisodia@arm.com>2022-05-06 17:11:41 +0100
commitaa4bcb14d0cbee910331545dd2fc086b58c37170 (patch)
treee67a43a43f61c6f8b6aad19018b0827baf7e31a6 /source/use_case/asr/src/MainLoop.cc
parentfcca863bafd5f33522bc14c23dde4540e264ec94 (diff)
downloadml-embedded-evaluation-kit-aa4bcb14d0cbee910331545dd2fc086b58c37170.tar.gz
MLECO-3183: Refactoring application sources
Platform agnostic application sources are moved into application api module with their own independent CMake projects. Changes for MLECO-3080 also included - they create CMake projects individial API's (again, platform agnostic) that dependent on the common logic. The API for KWS_API "joint" API has been removed and now the use case relies on individual KWS, and ASR API libraries. Change-Id: I1f7748dc767abb3904634a04e0991b74ac7b756d Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
Diffstat (limited to 'source/use_case/asr/src/MainLoop.cc')
-rw-r--r--source/use_case/asr/src/MainLoop.cc34
1 files changed, 28 insertions, 6 deletions
diff --git a/source/use_case/asr/src/MainLoop.cc b/source/use_case/asr/src/MainLoop.cc
index a1a9540..7acd319 100644
--- a/source/use_case/asr/src/MainLoop.cc
+++ b/source/use_case/asr/src/MainLoop.cc
@@ -20,7 +20,18 @@
#include "UseCaseCommonUtils.hpp" /* Utils functions. */
#include "AsrClassifier.hpp" /* Classifier. */
#include "InputFiles.hpp" /* Generated audio clip header. */
-#include "log_macros.h"
+#include "log_macros.h" /* Logging functions */
+#include "BufAttributes.hpp" /* Buffer attributes to be applied */
+
+namespace arm {
+namespace app {
+namespace asr {
+ static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+ extern uint8_t* GetModelPointer();
+ extern size_t GetModelLen();
+} /* namespace asr */
+} /* namespace app */
+} /* namespace arm */
enum opcodes
{
@@ -53,7 +64,10 @@ void main_loop()
arm::app::Wav2LetterModel model; /* Model wrapper object. */
/* Load the model. */
- if (!model.Init()) {
+ if (!model.Init(arm::app::asr::tensorArena,
+ sizeof(arm::app::asr::tensorArena),
+ arm::app::asr::GetModelPointer(),
+ arm::app::asr::GetModelLen())) {
printf_err("Failed to initialise model\n");
return;
} else if (!VerifyTensorDimensions(model)) {
@@ -61,6 +75,14 @@ void main_loop()
return;
}
+#if !defined(ARM_NPU)
+ /* If it is not a NPU build check if the model contains a NPU operator */
+ if (model.ContainsEthosUOperator()) {
+ printf_err("No driver support for Ethos-U operator found in the model.\n");
+ return;
+ }
+#endif /* ARM_NPU */
+
/* Instantiate application context. */
arm::app::ApplicationContext caseContext;
std::vector <std::string> labels;
@@ -71,10 +93,10 @@ void main_loop()
caseContext.Set<arm::app::Profiler&>("profiler", profiler);
caseContext.Set<arm::app::Model&>("model", model);
caseContext.Set<uint32_t>("clipIndex", 0);
- caseContext.Set<uint32_t>("frameLength", g_FrameLength);
- caseContext.Set<uint32_t>("frameStride", g_FrameStride);
- caseContext.Set<float>("scoreThreshold", g_ScoreThreshold); /* Score threshold. */
- caseContext.Set<uint32_t>("ctxLen", g_ctxLen); /* Left and right context length (MFCC feat vectors). */
+ caseContext.Set<uint32_t>("frameLength", arm::app::asr::g_FrameLength);
+ caseContext.Set<uint32_t>("frameStride", arm::app::asr::g_FrameStride);
+ caseContext.Set<float>("scoreThreshold", arm::app::asr::g_ScoreThreshold); /* Score threshold. */
+ caseContext.Set<uint32_t>("ctxLen", arm::app::asr::g_ctxLen); /* Left and right context length (MFCC feat vectors). */
caseContext.Set<const std::vector <std::string>&>("labels", labels);
caseContext.Set<arm::app::AsrClassifier&>("classifier", classifier);