From aa4bcb14d0cbee910331545dd2fc086b58c37170 Mon Sep 17 00:00:00 2001 From: Kshitij Sisodia Date: Fri, 6 May 2022 09:13:03 +0100 Subject: 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 --- tests/use_case/kws/InferenceTestMicroNetKws.cc | 22 ++++++++++++++++++++-- 1 file changed, 20 insertions(+), 2 deletions(-) (limited to 'tests/use_case/kws/InferenceTestMicroNetKws.cc') diff --git a/tests/use_case/kws/InferenceTestMicroNetKws.cc b/tests/use_case/kws/InferenceTestMicroNetKws.cc index 41ecc3c..a6f7a03 100644 --- a/tests/use_case/kws/InferenceTestMicroNetKws.cc +++ b/tests/use_case/kws/InferenceTestMicroNetKws.cc @@ -17,10 +17,22 @@ #include "MicroNetKwsModel.hpp" #include "TestData_kws.hpp" #include "TensorFlowLiteMicro.hpp" +#include "BufAttributes.hpp" #include #include +namespace arm { +namespace app { + static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE; + + namespace kws { + extern uint8_t *GetModelPointer(); + extern size_t GetModelLen(); + } /* namespace kws */ +} /* namespace app */ +} /* namespace arm */ + using namespace test; bool RunInference(arm::app::Model& model, const int8_t vec[]) @@ -78,7 +90,10 @@ TEST_CASE("Running random inference with TensorFlow Lite Micro and MicroNetKwsMo arm::app::MicroNetKwsModel model{}; REQUIRE_FALSE(model.IsInited()); - REQUIRE(model.Init()); + REQUIRE(model.Init(arm::app::tensorArena, + sizeof(arm::app::tensorArena), + arm::app::kws::GetModelPointer(), + arm::app::kws::GetModelLen())); REQUIRE(model.IsInited()); REQUIRE(RunInferenceRandom(model)); @@ -96,7 +111,10 @@ TEST_CASE("Running inference with TensorFlow Lite Micro and MicroNetKwsModel int arm::app::MicroNetKwsModel model{}; REQUIRE_FALSE(model.IsInited()); - REQUIRE(model.Init()); + REQUIRE(model.Init(arm::app::tensorArena, + sizeof(arm::app::tensorArena), + arm::app::kws::GetModelPointer(), + arm::app::kws::GetModelLen())); REQUIRE(model.IsInited()); TestInference(input_goldenFV, output_goldenFV, model); -- cgit v1.2.1