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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 /tests/use_case/ad/InferenceTestAD.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 'tests/use_case/ad/InferenceTestAD.cc')
-rw-r--r-- | tests/use_case/ad/InferenceTestAD.cc | 22 |
1 files changed, 19 insertions, 3 deletions
diff --git a/tests/use_case/ad/InferenceTestAD.cc b/tests/use_case/ad/InferenceTestAD.cc index 6a1813f..d837617 100644 --- a/tests/use_case/ad/InferenceTestAD.cc +++ b/tests/use_case/ad/InferenceTestAD.cc @@ -22,11 +22,21 @@ #include "TestData_ad.hpp" #include "log_macros.h" #include "TensorFlowLiteMicro.hpp" +#include "BufAttributes.hpp" #ifndef AD_FEATURE_VEC_DATA_SIZE #define AD_IN_FEATURE_VEC_DATA_SIZE (1024) #endif /* AD_FEATURE_VEC_DATA_SIZE */ +namespace arm { + namespace app { + static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE; + } /* namespace app */ +} /* namespace arm */ + +extern uint8_t* GetModelPointer(); +extern size_t GetModelLen(); + using namespace test; bool RunInference(arm::app::Model& model, const int8_t vec[]) @@ -84,7 +94,10 @@ TEST_CASE("Running random inference with TensorFlow Lite Micro and AdModel Int8" arm::app::AdModel model{}; REQUIRE_FALSE(model.IsInited()); - REQUIRE(model.Init()); + REQUIRE(model.Init(arm::app::tensorArena, + sizeof(arm::app::tensorArena), + GetModelPointer(), + GetModelLen())); REQUIRE(model.IsInited()); REQUIRE(RunInferenceRandom(model)); @@ -102,11 +115,14 @@ TEST_CASE("Running golden vector inference with TensorFlow Lite Micro and AdMode arm::app::AdModel model{}; REQUIRE_FALSE(model.IsInited()); - REQUIRE(model.Init()); + REQUIRE(model.Init(arm::app::tensorArena, + sizeof(arm::app::tensorArena), + GetModelPointer(), + GetModelLen())); REQUIRE(model.IsInited()); TestInference<int8_t>(input_goldenFV, output_goldenFV, model); } } -}
\ No newline at end of file +} |