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author | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-05-06 09:13:03 +0100 |
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committer | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-05-06 17:11:41 +0100 |
commit | aa4bcb14d0cbee910331545dd2fc086b58c37170 (patch) | |
tree | e67a43a43f61c6f8b6aad19018b0827baf7e31a6 /source/use_case/kws/src/MainLoop.cc | |
parent | fcca863bafd5f33522bc14c23dde4540e264ec94 (diff) | |
download | ml-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/kws/src/MainLoop.cc')
-rw-r--r-- | source/use_case/kws/src/MainLoop.cc | 34 |
1 files changed, 28 insertions, 6 deletions
diff --git a/source/use_case/kws/src/MainLoop.cc b/source/use_case/kws/src/MainLoop.cc index e590c4a..3c35a7f 100644 --- a/source/use_case/kws/src/MainLoop.cc +++ b/source/use_case/kws/src/MainLoop.cc @@ -21,7 +21,18 @@ #include "Labels.hpp" /* For label strings. */ #include "UseCaseHandler.hpp" /* Handlers for different user options. */ #include "UseCaseCommonUtils.hpp" /* Utils functions. */ -#include "log_macros.h" +#include "log_macros.h" /* Logging functions */ +#include "BufAttributes.hpp" /* Buffer attributes to be applied */ + +namespace arm { +namespace app { +namespace kws { + static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE; + extern uint8_t *GetModelPointer(); + extern size_t GetModelLen(); +} /* namespace kws */ +} /* namespace app */ +} /* namespace arm */ using KwsClassifier = arm::app::Classifier; @@ -53,11 +64,22 @@ void main_loop() arm::app::MicroNetKwsModel model; /* Model wrapper object. */ /* Load the model. */ - if (!model.Init()) { + if (!model.Init(arm::app::kws::tensorArena, + sizeof(arm::app::kws::tensorArena), + arm::app::kws::GetModelPointer(), + arm::app::kws::GetModelLen())) { printf_err("Failed to initialise model\n"); 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; @@ -65,9 +87,9 @@ 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<int>("frameLength", g_FrameLength); - caseContext.Set<int>("frameStride", g_FrameStride); - caseContext.Set<float>("scoreThreshold", g_ScoreThreshold); /* Normalised score threshold. */ + caseContext.Set<int>("frameLength", arm::app::kws::g_FrameLength); + caseContext.Set<int>("frameStride", arm::app::kws::g_FrameStride); + caseContext.Set<float>("scoreThreshold", arm::app::kws::g_ScoreThreshold); /* Normalised score threshold. */ KwsClassifier classifier; /* classifier wrapper object. */ caseContext.Set<arm::app::Classifier&>("classifier", classifier); @@ -114,4 +136,4 @@ void main_loop() } } while (executionSuccessful && bUseMenu); info("Main loop terminated.\n"); -}
\ No newline at end of file +} |