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>

17 files changed, 383 insertions, 58 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
+}
diff --git a/tests/use_case/asr/InferenceTestWav2Letter.cc b/tests/use_case/asr/InferenceTestWav2Letter.cc
index 53c92ab..643f805 100644
--- a/tests/use_case/asr/InferenceTestWav2Letter.cc
+++ b/tests/use_case/asr/InferenceTestWav2Letter.cc
@@ -17,10 +17,21 @@
 #include "TensorFlowLiteMicro.hpp"
 #include "Wav2LetterModel.hpp"
 #include "TestData_asr.hpp"
+#include "BufAttributes.hpp"
 
 #include <catch.hpp>
 #include <random>
 
+namespace arm {
+namespace app {
+    static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+    namespace asr {
+        extern uint8_t* GetModelPointer();
+        extern size_t GetModelLen();
+    } /* namespace asr */
+} /* namespace app */
+} /* namespace arm */
+
 using namespace test;
 
 bool RunInference(arm::app::Model& model, const int8_t vec[], const size_t copySz)
@@ -58,7 +69,10 @@ TEST_CASE("Running random inference with TensorFlow Lite Micro and Wav2LetterMod
     arm::app::Wav2LetterModel model{};
 
     REQUIRE_FALSE(model.IsInited());
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    arm::app::asr::GetModelPointer(),
+                    arm::app::asr::GetModelLen()));
     REQUIRE(model.IsInited());
 
     REQUIRE(RunInferenceRandom(model));
@@ -96,11 +110,14 @@ TEST_CASE("Running inference with Tflu and Wav2LetterModel Int8", "[Wav2Letter]"
             arm::app::Wav2LetterModel model{};
 
             REQUIRE_FALSE(model.IsInited());
-            REQUIRE(model.Init());
+            REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    arm::app::asr::GetModelPointer(),
+                    arm::app::asr::GetModelLen()));
             REQUIRE(model.IsInited());
 
             TestInference<int8_t>(input_goldenFV, output_goldenFV, model);
 
         }
     }
-}
\ No newline at end of file
+}
diff --git a/tests/use_case/asr/Wav2LetterPostprocessingTest.cc b/tests/use_case/asr/Wav2LetterPostprocessingTest.cc
index 11c4919..9c3d658 100644
--- a/tests/use_case/asr/Wav2LetterPostprocessingTest.cc
+++ b/tests/use_case/asr/Wav2LetterPostprocessingTest.cc
@@ -17,11 +17,23 @@
 #include "Wav2LetterPostprocess.hpp"
 #include "Wav2LetterModel.hpp"
 #include "ClassificationResult.hpp"
+#include "BufAttributes.hpp"
 
 #include <algorithm>
 #include <catch.hpp>
 #include <limits>
 
+namespace arm {
+namespace app {
+    static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+
+    namespace asr {
+        extern uint8_t* GetModelPointer();
+        extern size_t GetModelLen();
+    } /* namespace asr */
+} /* namespace app */
+} /* namespace arm */
+
 template <typename T>
 static TfLiteTensor GetTestTensor(
                         std::vector<int>&      shape,
@@ -51,7 +63,10 @@ TEST_CASE("Checking return value")
         const uint32_t outputCtxLen = 5;
         arm::app::AsrClassifier classifier;
         arm::app::Wav2LetterModel model;
-        model.Init();
+        model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    arm::app::asr::GetModelPointer(),
+                    arm::app::asr::GetModelLen());
         std::vector<std::string> dummyLabels = {"a", "b", "$"};
         const uint32_t blankTokenIdx = 2;
         std::vector<arm::app::ClassificationResult> dummyResult;
@@ -71,7 +86,10 @@ TEST_CASE("Checking return value")
         const uint32_t outputCtxLen = 5;
         arm::app::AsrClassifier classifier;
         arm::app::Wav2LetterModel model;
-        model.Init();
+        model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    arm::app::asr::GetModelPointer(),
+                    arm::app::asr::GetModelLen());
         std::vector<std::string> dummyLabels = {"a", "b", "$"};
         const uint32_t blankTokenIdx = 2;
         std::vector<arm::app::ClassificationResult> dummyResult;
@@ -102,7 +120,10 @@ TEST_CASE("Postprocessing - erasing required elements")
     std::vector<int> tensorShape = {1, 1, nRows, nCols};
     arm::app::AsrClassifier classifier;
     arm::app::Wav2LetterModel model;
-    model.Init();
+    model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    arm::app::asr::GetModelPointer(),
+                    arm::app::asr::GetModelLen());
     std::vector<std::string> dummyLabels = {"a", "b", "$"};
     std::vector<arm::app::ClassificationResult> dummyResult;
 
diff --git a/tests/use_case/img_class/ImgClassificationUCTest.cc b/tests/use_case/img_class/ImgClassificationUCTest.cc
index b9caf61..d8339b6 100644
--- a/tests/use_case/img_class/ImgClassificationUCTest.cc
+++ b/tests/use_case/img_class/ImgClassificationUCTest.cc
@@ -24,13 +24,25 @@
 
 #include <catch.hpp>
 
+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();
+
 TEST_CASE("Model info")
 {
     /* Model wrapper object. */
     arm::app::MobileNetModel model;
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
@@ -50,7 +62,10 @@ TEST_CASE("Inference by index", "[.]")
     arm::app::MobileNetModel model;
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
@@ -83,7 +98,10 @@ TEST_CASE("Inference run all images", "[.]")
     arm::app::MobileNetModel model;
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
@@ -112,11 +130,14 @@ TEST_CASE("List all images")
     arm::app::MobileNetModel model;
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
     caseContext.Set<arm::app::Model&>("model", model);
 
     REQUIRE(arm::app::ListFilesHandler(caseContext));
-}
\ No newline at end of file
+}
diff --git a/tests/use_case/img_class/InferenceTestMobilenetV2.cc b/tests/use_case/img_class/InferenceTestMobilenetV2.cc
index 7e7508b..30ce19f 100644
--- a/tests/use_case/img_class/InferenceTestMobilenetV2.cc
+++ b/tests/use_case/img_class/InferenceTestMobilenetV2.cc
@@ -18,9 +18,19 @@
 #include "MobileNetModel.hpp"
 #include "TensorFlowLiteMicro.hpp"
 #include "TestData_img_class.hpp"
+#include "BufAttributes.hpp"
 
 #include <catch.hpp>
 
+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 imageData[])
@@ -67,7 +77,10 @@ TEST_CASE("Running inference with TensorFlow Lite Micro and MobileNeV2 Uint8", "
         arm::app::MobileNetModel model{};
 
         REQUIRE_FALSE(model.IsInited());
-        REQUIRE(model.Init());
+        REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
         REQUIRE(model.IsInited());
 
         for (uint32_t i = 0 ; i < NUMBER_OF_IFM_FILES; ++i) {
@@ -81,7 +94,10 @@ TEST_CASE("Running inference with TensorFlow Lite Micro and MobileNeV2 Uint8", "
             arm::app::MobileNetModel model{};
 
             REQUIRE_FALSE(model.IsInited());
-            REQUIRE(model.Init());
+            REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
             REQUIRE(model.IsInited());
 
             TestInference<uint8_t>(i, model, 1);
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 <catch.hpp>
 #include <random>
 
+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<int8_t>(input_goldenFV, output_goldenFV, model);
diff --git a/tests/use_case/kws/KWSHandlerTest.cc b/tests/use_case/kws/KWSHandlerTest.cc
index c24faa4..d9d00a8 100644
--- a/tests/use_case/kws/KWSHandlerTest.cc
+++ b/tests/use_case/kws/KWSHandlerTest.cc
@@ -24,13 +24,26 @@
 #include "Classifier.hpp"
 #include "UseCaseCommonUtils.hpp"
 
+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 app */
+} /* namespace arm */
+
 TEST_CASE("Model info")
 {
     /* Model wrapper object. */
     arm::app::MicroNetKwsModel model;
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    arm::app::kws::GetModelPointer(),
+                    arm::app::kws::GetModelLen()));
 
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
@@ -50,7 +63,10 @@ TEST_CASE("Inference by index")
     arm::app::MicroNetKwsModel model;
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    arm::app::kws::GetModelPointer(),
+                    arm::app::kws::GetModelLen()));
 
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
@@ -58,8 +74,8 @@ TEST_CASE("Inference by index")
     arm::app::Profiler profiler{"kws"};
     caseContext.Set<arm::app::Profiler&>("profiler", profiler);
     caseContext.Set<arm::app::Model&>("model", model);
-    caseContext.Set<int>("frameLength", g_FrameLength);  /* 640 sample length for MicroNetKws. */
-    caseContext.Set<int>("frameStride", g_FrameStride);  /* 320 sample stride for MicroNetKws. */
+    caseContext.Set<int>("frameLength", arm::app::kws::g_FrameLength);  /* 640 sample length for MicroNetKws. */
+    caseContext.Set<int>("frameStride", arm::app::kws::g_FrameStride);  /* 320 sample stride for MicroNetKws. */
     caseContext.Set<float>("scoreThreshold", 0.5);       /* Normalised score threshold. */
 
     arm::app::Classifier classifier;                     /* classifier wrapper object. */
@@ -122,7 +138,10 @@ TEST_CASE("Inference run all clips")
     arm::app::MicroNetKwsModel model;
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    arm::app::kws::GetModelPointer(),
+                    arm::app::kws::GetModelLen()));
 
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
@@ -131,8 +150,8 @@ TEST_CASE("Inference run all clips")
     caseContext.Set<arm::app::Profiler&>("profiler", profiler);
     caseContext.Set<arm::app::Model&>("model", model);
     caseContext.Set<uint32_t>("clipIndex", 0);
-    caseContext.Set<int>("frameLength", g_FrameLength);  /* 640 sample length for MicroNet. */
-    caseContext.Set<int>("frameStride", g_FrameStride);  /* 320 sample stride for MicroNet. */
+    caseContext.Set<int>("frameLength", arm::app::kws::g_FrameLength);  /* 640 sample length for MicroNet. */
+    caseContext.Set<int>("frameStride", arm::app::kws::g_FrameStride);  /* 320 sample stride for MicroNet. */
     caseContext.Set<float>("scoreThreshold", 0.7);       /* Normalised score threshold. */
     arm::app::Classifier classifier;                     /* classifier wrapper object. */
     caseContext.Set<arm::app::Classifier&>("classifier", classifier);
@@ -153,7 +172,10 @@ TEST_CASE("List all audio clips")
     arm::app::MicroNetKwsModel model;
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    arm::app::kws::GetModelPointer(),
+                    arm::app::kws::GetModelLen()));
 
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
@@ -161,4 +183,4 @@ TEST_CASE("List all audio clips")
     caseContext.Set<arm::app::Model&>("model", model);
 
     REQUIRE(arm::app::ListFilesHandler(caseContext));
-}
\ No newline at end of file
+}
diff --git a/tests/use_case/kws_asr/InferenceTestMicroNetKws.cc b/tests/use_case/kws_asr/InferenceTestMicroNetKws.cc
index a493021..4ba4693 100644
--- a/tests/use_case/kws_asr/InferenceTestMicroNetKws.cc
+++ b/tests/use_case/kws_asr/InferenceTestMicroNetKws.cc
@@ -17,10 +17,21 @@
 #include "MicroNetKwsModel.hpp"
 #include "TestData_kws.hpp"
 #include "TensorFlowLiteMicro.hpp"
+#include "BufAttributes.hpp"
 
 #include <catch.hpp>
 #include <random>
 
+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 app */
+} /* namespace arm */
+
 namespace test {
 namespace kws {
 
@@ -75,7 +86,10 @@ TEST_CASE("Running random inference with Tflu and MicroNetKwsModel Int8", "[Micr
     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));
@@ -91,7 +105,10 @@ TEST_CASE("Running inference with Tflu and MicroNetKwsModel Int8", "[MicroNetKws
             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<int8_t>(input_goldenFV, output_goldenFV, model);
@@ -101,4 +118,4 @@ TEST_CASE("Running inference with Tflu and MicroNetKwsModel Int8", "[MicroNetKws
 }
 
 } //namespace
-} //namespace
\ No newline at end of file
+} //namespace
diff --git a/tests/use_case/kws_asr/InferenceTestWav2Letter.cc b/tests/use_case/kws_asr/InferenceTestWav2Letter.cc
index 1c5f20a..5d30211 100644
--- a/tests/use_case/kws_asr/InferenceTestWav2Letter.cc
+++ b/tests/use_case/kws_asr/InferenceTestWav2Letter.cc
@@ -17,10 +17,22 @@
 #include "TensorFlowLiteMicro.hpp"
 #include "Wav2LetterModel.hpp"
 #include "TestData_asr.hpp"
+#include "BufAttributes.hpp"
 
 #include <catch.hpp>
 #include <random>
 
+namespace arm {
+    namespace app {
+        static uint8_t  tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+
+        namespace asr {
+            extern uint8_t* GetModelPointer();
+            extern size_t GetModelLen();
+        }
+    } /* namespace app */
+} /* namespace arm */
+
 namespace test {
 namespace asr {
 
@@ -59,7 +71,10 @@ TEST_CASE("Running random inference with Tflu and Wav2LetterModel Int8", "[Wav2L
     arm::app::Wav2LetterModel model{};
 
     REQUIRE_FALSE(model.IsInited());
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                       sizeof(arm::app::tensorArena),
+                       arm::app::asr::GetModelPointer(),
+                       arm::app::asr::GetModelLen()));
     REQUIRE(model.IsInited());
 
     REQUIRE(RunInferenceRandom(model));
@@ -98,7 +113,10 @@ TEST_CASE("Running inference with Tflu and Wav2LetterModel Int8", "[Wav2Letter]"
             arm::app::Wav2LetterModel model{};
 
             REQUIRE_FALSE(model.IsInited());
-            REQUIRE(model.Init());
+            REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    arm::app::asr::GetModelPointer(),
+                    arm::app::asr::GetModelLen()));
             REQUIRE(model.IsInited());
 
             TestInference<int8_t>(input_goldenFV, output_goldenFV, model);
diff --git a/tests/use_case/kws_asr/InitModels.cc b/tests/use_case/kws_asr/InitModels.cc
index 97aa092..85841a3 100644
--- a/tests/use_case/kws_asr/InitModels.cc
+++ b/tests/use_case/kws_asr/InitModels.cc
@@ -16,9 +16,25 @@
  */
 #include "MicroNetKwsModel.hpp"
 #include "Wav2LetterModel.hpp"
+#include "BufAttributes.hpp"
 
 #include <catch.hpp>
 
+namespace arm {
+    namespace app {
+        static uint8_t  tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+
+        namespace asr {
+            extern uint8_t* GetModelPointer();
+            extern size_t GetModelLen();
+        }
+        namespace kws {
+            extern uint8_t* GetModelPointer();
+            extern size_t GetModelLen();
+        }
+    } /* namespace app */
+} /* namespace arm */
+
 /* Skip this test, Wav2LetterModel if not Vela optimized but only from ML-zoo will fail. */
 TEST_CASE("Init two Models", "[.]")
 {
@@ -35,13 +51,20 @@ TEST_CASE("Init two Models", "[.]")
     //arm::app::Wav2LetterModel model2;     /* model2. */
 
     /* Load/initialise the first model. */
-    REQUIRE(model1.Init());
+    REQUIRE(model1.Init(arm::app::tensorArena,
+                        sizeof(arm::app::tensorArena),
+                        arm::app::kws::GetModelPointer(),
+                        arm::app::kws::GetModelLen()));
 
     /* Allocator instance should have been created. */
     REQUIRE(nullptr != model1.GetAllocator());
 
     /* Load the second model using the same allocator as model 1. */
-    REQUIRE(model2.Init(model1.GetAllocator()));
+    REQUIRE(model2.Init(arm::app::tensorArena,
+                        sizeof(arm::app::tensorArena),
+                        arm::app::asr::GetModelPointer(),
+                        arm::app::asr::GetModelLen(),
+                        model1.GetAllocator()));
 
     /* Make sure they point to the same allocator object. */
     REQUIRE(model1.GetAllocator() == model2.GetAllocator());
@@ -49,4 +72,4 @@ TEST_CASE("Init two Models", "[.]")
     /* Both models should report being initialised. */
     REQUIRE(true == model1.IsInited());
     REQUIRE(true == model2.IsInited());
-}
\ No newline at end of file
+}
diff --git a/tests/use_case/kws_asr/Wav2LetterPostprocessingTest.cc b/tests/use_case/kws_asr/Wav2LetterPostprocessingTest.cc
index e343b66..d2071ea 100644
--- a/tests/use_case/kws_asr/Wav2LetterPostprocessingTest.cc
+++ b/tests/use_case/kws_asr/Wav2LetterPostprocessingTest.cc
@@ -17,11 +17,27 @@
 #include "Wav2LetterPostprocess.hpp"
 #include "Wav2LetterModel.hpp"
 #include "ClassificationResult.hpp"
+#include "BufAttributes.hpp"
 
 #include <algorithm>
 #include <catch.hpp>
 #include <limits>
 
+namespace arm {
+    namespace app {
+        static uint8_t  tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE;
+
+        namespace asr {
+            extern uint8_t* GetModelPointer();
+            extern size_t GetModelLen();
+        }
+        namespace kws {
+            extern uint8_t* GetModelPointer();
+            extern size_t GetModelLen();
+        }
+    } /* namespace app */
+} /* namespace arm */
+
 template <typename T>
 static TfLiteTensor GetTestTensor(
         std::vector<int>&      shape,
@@ -51,7 +67,10 @@ TEST_CASE("Checking return value")
         const uint32_t outputCtxLen = 5;
         arm::app::AsrClassifier classifier;
         arm::app::Wav2LetterModel model;
-        model.Init();
+        model.Init(arm::app::tensorArena,
+                   sizeof(arm::app::tensorArena),
+                   arm::app::asr::GetModelPointer(),
+                   arm::app::asr::GetModelLen());
         std::vector<std::string> dummyLabels = {"a", "b", "$"};
         const uint32_t blankTokenIdx = 2;
         std::vector<arm::app::ClassificationResult> dummyResult;
@@ -71,7 +90,10 @@ TEST_CASE("Checking return value")
         const uint32_t outputCtxLen = 5;
         arm::app::AsrClassifier classifier;
         arm::app::Wav2LetterModel model;
-        model.Init();
+        model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                   arm::app::asr::GetModelPointer(),
+                   arm::app::asr::GetModelLen());
         std::vector<std::string> dummyLabels = {"a", "b", "$"};
         const uint32_t blankTokenIdx = 2;
         std::vector<arm::app::ClassificationResult> dummyResult;
@@ -102,7 +124,10 @@ TEST_CASE("Postprocessing - erasing required elements")
     std::vector<int> tensorShape = {1, 1, nRows, nCols};
     arm::app::AsrClassifier classifier;
     arm::app::Wav2LetterModel model;
-    model.Init();
+    model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    arm::app::asr::GetModelPointer(),
+                    arm::app::asr::GetModelLen());
     std::vector<std::string> dummyLabels = {"a", "b", "$"};
     std::vector<arm::app::ClassificationResult> dummyResult;
 
diff --git a/tests/use_case/noise_reduction/InferenceTestRNNoise.cc b/tests/use_case/noise_reduction/InferenceTestRNNoise.cc
index 4c9786f..9dc640b 100644
--- a/tests/use_case/noise_reduction/InferenceTestRNNoise.cc
+++ b/tests/use_case/noise_reduction/InferenceTestRNNoise.cc
@@ -17,10 +17,20 @@
 #include "TensorFlowLiteMicro.hpp"
 #include "RNNoiseModel.hpp"
 #include "TestData_noise_reduction.hpp"
+#include "BufAttributes.hpp"
 
 #include <catch.hpp>
 #include <random>
 
+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();
+
 namespace test {
 namespace rnnoise {
 
@@ -62,7 +72,10 @@ namespace rnnoise {
         arm::app::RNNoiseModel 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));
@@ -121,7 +134,10 @@ namespace rnnoise {
             arm::app::RNNoiseModel 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>(goldenInputFV, goldenOutputFV, model);
diff --git a/tests/use_case/noise_reduction/RNNNoiseUCTests.cc b/tests/use_case/noise_reduction/RNNNoiseUCTests.cc
index cc1b4d7..bebfdfd 100644
--- a/tests/use_case/noise_reduction/RNNNoiseUCTests.cc
+++ b/tests/use_case/noise_reduction/RNNNoiseUCTests.cc
@@ -24,6 +24,15 @@
 #include <hal.h>
 #include <Profiler.hpp>
 
+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();
+
 #define PLATFORM    hal_platform_init();
 
 #define CONTEXT \
@@ -38,7 +47,10 @@ TEST_CASE("Verify output tensor memory dump")
     std::vector<uint8_t> memPool(maxMemDumpSz); /* Memory pool */
     arm::app::RNNoiseModel model{};
 
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
     REQUIRE(model.IsInited());
 
     /* Populate the output tensors */
@@ -105,7 +117,10 @@ TEST_CASE("Inference run all clips", "[RNNoise]")
     caseContext.Set<uint32_t>("frameStride", g_FrameStride);
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     REQUIRE(arm::app::NoiseReductionHandler(caseContext, true));
 }
@@ -136,7 +151,10 @@ void testInfByIndex(std::vector<uint32_t>& numberOfInferences) {
     caseContext.Set<uint32_t>("frameStride", g_FrameStride);
     caseContext.Set<uint32_t>("numInputFeatures", g_NumInputFeatures);
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     size_t oneInferenceOutSizeBytes = g_FrameLength * sizeof(int16_t);
 
diff --git a/tests/use_case/noise_reduction/RNNoiseModelTests.cc b/tests/use_case/noise_reduction/RNNoiseModelTests.cc
index 7798975..9720ba5 100644
--- a/tests/use_case/noise_reduction/RNNoiseModelTests.cc
+++ b/tests/use_case/noise_reduction/RNNoiseModelTests.cc
@@ -17,10 +17,20 @@
 #include "RNNoiseModel.hpp"
 #include "TensorFlowLiteMicro.hpp"
 #include "TestData_noise_reduction.hpp"
+#include "BufAttributes.hpp"
 
 #include <catch.hpp>
 #include <random>
 
+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();
+
 bool RunInference(arm::app::Model& model, std::vector<int8_t> vec,
                     const size_t sizeRequired, const size_t dataInputIndex)
 {
@@ -61,7 +71,10 @@ TEST_CASE("Running random inference with TensorFlow Lite Micro and RNNoiseModel
     arm::app::RNNoiseModel model{};
 
     REQUIRE_FALSE(model.IsInited());
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                       sizeof(arm::app::tensorArena),
+                       GetModelPointer(),
+                       GetModelLen()));
     REQUIRE(model.IsInited());
 
     model.ResetGruState();
@@ -114,7 +127,10 @@ void printArray(size_t dataSz, T data){
 TEST_CASE("Test initial GRU out state is 0", "[RNNoise]")
 {
     TestRNNoiseModel model{};
-    model.Init();
+    model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen());
 
     auto map = model.GetStateMap();
 
@@ -135,7 +151,10 @@ TEST_CASE("Test initial GRU out state is 0", "[RNNoise]")
 TEST_CASE("Test GRU state copy", "[RNNoise]")
 {
     TestRNNoiseModel model{};
-    model.Init();
+    model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen());
     REQUIRE(RunInferenceRandom(model, 0));
 
     auto map = model.GetStateMap();
@@ -162,4 +181,4 @@ TEST_CASE("Test GRU state copy", "[RNNoise]")
         statesIter++;
     }
 
-}
\ No newline at end of file
+}
diff --git a/tests/use_case/object_detection/InferenceTestYoloFastest.cc b/tests/use_case/object_detection/InferenceTestYoloFastest.cc
index 2c035e7..1b4d1dd 100644
--- a/tests/use_case/object_detection/InferenceTestYoloFastest.cc
+++ b/tests/use_case/object_detection/InferenceTestYoloFastest.cc
@@ -22,6 +22,15 @@
 #include "InputFiles.hpp"
 #include "UseCaseCommonUtils.hpp"
 
+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();
+
 #include <catch.hpp>
 
 void GetExpectedResults(std::vector<std::vector<arm::app::object_detection::DetectionResult>> &expected_results)
@@ -122,7 +131,10 @@ TEST_CASE("Running inference with TensorFlow Lite Micro and YoloFastest", "[Yolo
         arm::app::YoloFastestModel model{};
 
         REQUIRE_FALSE(model.IsInited());
-        REQUIRE(model.Init());
+        REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
         REQUIRE(model.IsInited());
 
         for (uint32_t i = 0 ; i < NUMBER_OF_FILES; ++i) {
@@ -136,7 +148,10 @@ TEST_CASE("Running inference with TensorFlow Lite Micro and YoloFastest", "[Yolo
             arm::app::YoloFastestModel model{};
 
             REQUIRE_FALSE(model.IsInited());
-            REQUIRE(model.Init());
+            REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
             REQUIRE(model.IsInited());
 
             TestInferenceDetectionResults<uint8_t>(i, model, 1);
diff --git a/tests/use_case/object_detection/ObjectDetectionUCTest.cc b/tests/use_case/object_detection/ObjectDetectionUCTest.cc
index 023b893..ffb4976 100644
--- a/tests/use_case/object_detection/ObjectDetectionUCTest.cc
+++ b/tests/use_case/object_detection/ObjectDetectionUCTest.cc
@@ -20,16 +20,29 @@
 #include "YoloFastestModel.hpp"
 #include "UseCaseHandler.hpp"
 #include "UseCaseCommonUtils.hpp"
+#include "BufAttributes.hpp"
 
 #include <catch.hpp>
 
+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();
+
 TEST_CASE("Model info")
 {
     /* Model wrapper object. */
     arm::app::YoloFastestModel model;
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
@@ -49,7 +62,10 @@ TEST_CASE("Inference by index")
     arm::app::YoloFastestModel model;
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
@@ -72,7 +88,10 @@ TEST_CASE("Inference run all images")
     arm::app::YoloFastestModel model;
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
@@ -95,7 +114,10 @@ TEST_CASE("List all images")
     arm::app::YoloFastestModel model;
 
     /* Load the model. */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
diff --git a/tests/use_case/vww/VisualWakeWordUCTests.cc b/tests/use_case/vww/VisualWakeWordUCTests.cc
index 531764b..05a31a4 100644
--- a/tests/use_case/vww/VisualWakeWordUCTests.cc
+++ b/tests/use_case/vww/VisualWakeWordUCTests.cc
@@ -24,12 +24,24 @@
 #include "Classifier.hpp"
 #include "UseCaseCommonUtils.hpp"
 
+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();
+
 TEST_CASE("Model info")
 {
     arm::app::VisualWakeWordModel model;    /* model wrapper object */
 
     /* Load the model */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     /* Instantiate application context */
     arm::app::ApplicationContext caseContext;
@@ -46,7 +58,10 @@ TEST_CASE("Inference by index")
     arm::app::VisualWakeWordModel model;    /* model wrapper object */
 
     /* Load the model */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     /* Instantiate application context */
     arm::app::ApplicationContext caseContext;
@@ -76,7 +91,10 @@ TEST_CASE("Inference run all images")
     arm::app::VisualWakeWordModel model;    /* model wrapper object */
 
     /* Load the model */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     /* Instantiate application context */
     arm::app::ApplicationContext caseContext;
@@ -102,7 +120,10 @@ TEST_CASE("List all images")
     arm::app::VisualWakeWordModel model;    /* model wrapper object */
 
     /* Load the model */
-    REQUIRE(model.Init());
+    REQUIRE(model.Init(arm::app::tensorArena,
+                    sizeof(arm::app::tensorArena),
+                    GetModelPointer(),
+                    GetModelLen()));
 
     /* Instantiate application context */
     arm::app::ApplicationContext caseContext;
@@ -110,4 +131,4 @@ TEST_CASE("List all images")
     caseContext.Set<arm::app::Model&>("model", model);
 
     REQUIRE(arm::app::ListFilesHandler(caseContext));
-}
\ No newline at end of file
+}