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-rw-r--r--tests/use_case/kws_asr/InferenceTestWav2Letter.cc5
1 files changed, 2 insertions, 3 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);;