diff options
Diffstat (limited to 'tests/use_case/kws_asr')
| -rw-r--r-- | tests/use_case/kws_asr/InferenceTestWav2Letter.cc | 5 | ||||
| -rw-r--r-- | tests/use_case/kws_asr/Wav2LetterPreprocessingTest.cc | 2 |
2 files changed, 3 insertions, 4 deletions
diff --git a/tests/use_case/kws_asr/InferenceTestWav2Letter.cc b/tests/use_case/kws_asr/InferenceTestWav2Letter.cc index 897ad0a..5f5ad98 100644 --- a/tests/use_case/kws_asr/InferenceTestWav2Letter.cc +++ b/tests/use_case/kws_asr/InferenceTestWav2Letter.cc @@ -55,8 +55,7 @@ bool RunInferenceRandom(arm::app::Model& model) return true; } -/* Skip this test, Wav2LetterModel if not Vela optimized but only from ML-zoo will fail. */ -TEST_CASE("Running random inference with Tflu and Wav2LetterModel Int8", "[Wav2Letter][.]") +TEST_CASE("Running random inference with Tflu and Wav2LetterModel Int8", "[Wav2Letter]") { arm::app::Wav2LetterModel model{}; @@ -88,7 +87,7 @@ void TestInference(const T* input_goldenFV, const T* output_goldenFV, arm::app:: } } -TEST_CASE("Running inference with Tflu and Wav2LetterModel Int8", "[Wav2Letter][.]") +TEST_CASE("Running inference with Tflu and Wav2LetterModel Int8", "[Wav2Letter]") { for (uint32_t i = 0 ; i < NUMBER_OF_FM_FILES; ++i) { auto input_goldenFV = get_ifm_data_array(i);; diff --git a/tests/use_case/kws_asr/Wav2LetterPreprocessingTest.cc b/tests/use_case/kws_asr/Wav2LetterPreprocessingTest.cc index e71366a..16dbea2 100644 --- a/tests/use_case/kws_asr/Wav2LetterPreprocessingTest.cc +++ b/tests/use_case/kws_asr/Wav2LetterPreprocessingTest.cc @@ -108,7 +108,7 @@ TEST_CASE("Preprocessing calculation INT8") /* Constants. */ const uint32_t windowLen = 512; const uint32_t windowStride = 160; - const int dimArray[] = {3, 1, numMfccFeatures * 3, numMfccVectors}; + int dimArray[] = {3, 1, numMfccFeatures * 3, numMfccVectors}; const float quantScale = 0.1410219967365265; const int quantOffset = -11; |