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authorIsabella Gottardi <isabella.gottardi@arm.com>2021-10-20 15:52:32 +0100
committerIsabella Gottardi <isabella.gottardi@arm.com>2021-10-25 08:51:10 +0000
commit79d4154ee071d0e7ef2d1eecdde149d488bb9d8b (patch)
tree21c8c0a2bd187a925f28045d4a57e9e4ef05be82 /tests
parent14ab8d447c5f12df2ac7fd4217fc0d2005b02dca (diff)
downloadml-embedded-evaluation-kit-79d4154ee071d0e7ef2d1eecdde149d488bb9d8b.tar.gz
MLECO-2458 and MLECO-2476 [Fix] VWW IFM quant step
* Changed image->cc conversion to be similar with preprocessing of img_class and vww models: images are scaled maintaing the aspect ration and then the centre crop of the correct size is taken. * VWW applies input quantization info to the int8 image (prior converted to [0,1] float range). * Changed adult_blur to a image without person. * Fix menu print when selecting a specific ifm to run (Select message was displayed after typing something) Change-Id: Ie6cde7ab4835ea842667b87397458a5d32131df3
Diffstat (limited to 'tests')
-rw-r--r--tests/use_case/ad/InferenceTestAD.cc4
-rw-r--r--tests/use_case/asr/InferenceTestWav2Letter.cc2
-rw-r--r--tests/use_case/img_class/InferenceTestMobilenetV2.cc2
-rw-r--r--tests/use_case/kws/InferenceTestDSCNN.cc2
-rw-r--r--tests/use_case/kws_asr/InferenceTestDSCNN.cc2
-rw-r--r--tests/use_case/kws_asr/InferenceTestWav2Letter.cc2
-rw-r--r--tests/use_case/vww/VisualWakeWordUCTests.cc2
-rw-r--r--tests/utils/ImageUtils.cc8
8 files changed, 12 insertions, 12 deletions
diff --git a/tests/use_case/ad/InferenceTestAD.cc b/tests/use_case/ad/InferenceTestAD.cc
index d5e21c2..ad785e8 100644
--- a/tests/use_case/ad/InferenceTestAD.cc
+++ b/tests/use_case/ad/InferenceTestAD.cc
@@ -64,7 +64,7 @@ bool RunInferenceRandom(arm::app::Model& model)
template <typename T>
void TestInference(const T *input_goldenFV, const T *output_goldenFV, arm::app::Model& model)
{
- REQUIRE(RunInference(model, (int8_t*)input_goldenFV));
+ REQUIRE(RunInference(model, static_cast<const T*>(input_goldenFV)));
TfLiteTensor *outputTensor = model.GetOutputTensor(0);
@@ -75,7 +75,7 @@ void TestInference(const T *input_goldenFV, const T *output_goldenFV, arm::app::
for (size_t i = 0; i < outputTensor->bytes; i++)
{
- REQUIRE((int)tensorData[i] == (int)((T)output_goldenFV[i]));
+ REQUIRE(static_cast<int>(tensorData[i]) == static_cast<int>(((T)output_goldenFV[i])));
}
}
diff --git a/tests/use_case/asr/InferenceTestWav2Letter.cc b/tests/use_case/asr/InferenceTestWav2Letter.cc
index d5e6c35..1f9cb80 100644
--- a/tests/use_case/asr/InferenceTestWav2Letter.cc
+++ b/tests/use_case/asr/InferenceTestWav2Letter.cc
@@ -81,7 +81,7 @@ void TestInference(const T* input_goldenFV, const T* output_goldenFV, arm::app::
REQUIRE(tensorData);
for (size_t i = 0; i < outputTensor->bytes; i++) {
- REQUIRE((int)tensorData[i] == (int)((T)output_goldenFV[i]));
+ REQUIRE(static_cast<int>(tensorData[i]) == static_cast<int>(((T)output_goldenFV[i])));
}
}
diff --git a/tests/use_case/img_class/InferenceTestMobilenetV2.cc b/tests/use_case/img_class/InferenceTestMobilenetV2.cc
index 6fbf374..bb89c99 100644
--- a/tests/use_case/img_class/InferenceTestMobilenetV2.cc
+++ b/tests/use_case/img_class/InferenceTestMobilenetV2.cc
@@ -56,7 +56,7 @@ void TestInference(int imageIdx, arm::app::Model& model, T tolerance) {
REQUIRE(tensorData);
for (size_t i = 0; i < outputTensor->bytes; i++) {
- REQUIRE((int)tensorData[i] == Approx((int)((T)goldenFV[i])).epsilon(tolerance));
+ REQUIRE(static_cast<int>(tensorData[i]) == Approx(static_cast<int>((T)goldenFV[i])).epsilon(tolerance));
}
}
diff --git a/tests/use_case/kws/InferenceTestDSCNN.cc b/tests/use_case/kws/InferenceTestDSCNN.cc
index d02e33c..7ce55dd 100644
--- a/tests/use_case/kws/InferenceTestDSCNN.cc
+++ b/tests/use_case/kws/InferenceTestDSCNN.cc
@@ -70,7 +70,7 @@ void TestInference(const T* input_goldenFV, const T* output_goldenFV, arm::app::
REQUIRE(tensorData);
for (size_t i = 0; i < outputTensor->bytes; i++) {
- REQUIRE((int)tensorData[i] == (int)((T)output_goldenFV[i]));
+ REQUIRE(static_cast<int>(tensorData[i]) == static_cast<int>(((T)output_goldenFV[i])));
}
}
diff --git a/tests/use_case/kws_asr/InferenceTestDSCNN.cc b/tests/use_case/kws_asr/InferenceTestDSCNN.cc
index e210c33..134003d 100644
--- a/tests/use_case/kws_asr/InferenceTestDSCNN.cc
+++ b/tests/use_case/kws_asr/InferenceTestDSCNN.cc
@@ -68,7 +68,7 @@ void TestInference(const T* input_goldenFV, const T* output_goldenFV, arm::app::
REQUIRE(tensorData);
for (size_t i = 0; i < outputTensor->bytes; i++) {
- REQUIRE((int) tensorData[i] == (int) ((T) output_goldenFV[i]));
+ REQUIRE(static_cast<int>(tensorData[i]) == static_cast<int>((T) output_goldenFV[i]));
}
}
diff --git a/tests/use_case/kws_asr/InferenceTestWav2Letter.cc b/tests/use_case/kws_asr/InferenceTestWav2Letter.cc
index 5f5ad98..1b14a42 100644
--- a/tests/use_case/kws_asr/InferenceTestWav2Letter.cc
+++ b/tests/use_case/kws_asr/InferenceTestWav2Letter.cc
@@ -83,7 +83,7 @@ void TestInference(const T* input_goldenFV, const T* output_goldenFV, arm::app::
REQUIRE(tensorData);
for (size_t i = 0; i < outputTensor->bytes; i++) {
- REQUIRE((int)tensorData[i] == (int)((T)output_goldenFV[i]));
+ REQUIRE(static_cast<int>(tensorData[i]) == static_cast<int>(((T)output_goldenFV[i])));
}
}
diff --git a/tests/use_case/vww/VisualWakeWordUCTests.cc b/tests/use_case/vww/VisualWakeWordUCTests.cc
index 891423b..700a6bb 100644
--- a/tests/use_case/vww/VisualWakeWordUCTests.cc
+++ b/tests/use_case/vww/VisualWakeWordUCTests.cc
@@ -73,7 +73,7 @@ TEST_CASE("Inference by index")
auto results = caseContext.Get<std::vector<arm::app::ClassificationResult>>("results");
- REQUIRE(results[0].m_labelIdx == 0);
+ REQUIRE(results[0].m_labelIdx == 1);
}
TEST_CASE("Inference run all images")
diff --git a/tests/utils/ImageUtils.cc b/tests/utils/ImageUtils.cc
index f77ce1e..506040f 100644
--- a/tests/utils/ImageUtils.cc
+++ b/tests/utils/ImageUtils.cc
@@ -18,12 +18,12 @@
void convertImgIoInt8(void * data, const size_t sz)
{
- uint8_t * tmp_req_data = (uint8_t *)data;
- int8_t * tmp_signed_req_data = (int8_t *) data;
+ uint8_t * tmp_req_data = static_cast<uint8_t *>(data);
+ int8_t * tmp_signed_req_data = static_cast<int8_t *>(data);
for (size_t i = 0; i < sz; ++i) {
- tmp_signed_req_data[i] = (int8_t)(
- (int32_t)(tmp_req_data[i]) - 128);
+ tmp_signed_req_data[i] = static_cast<int8_t>(
+ static_cast<int32_t>(tmp_req_data[i]) - 128);
}
}