diff --git a/nn/runtime/test/generated/all_generated_V1_2_vts_tests.cpp b/nn/runtime/test/generated/all_generated_V1_2_vts_tests.cpp
index 15f5b34..08a8028 100644
--- a/nn/runtime/test/generated/all_generated_V1_2_vts_tests.cpp
+++ b/nn/runtime/test/generated/all_generated_V1_2_vts_tests.cpp
@@ -11956,6 +11956,194 @@
 }
 
 
+// Generated from: roi_pooling.mod.py.
+namespace roi_pooling {
+// Generated roi_pooling test
+#include "examples/roi_pooling.example.cpp"
+// Generated model constructor
+#include "vts_models/roi_pooling.model.cpp"
+} // namespace roi_pooling
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nhwc) {
+  generated_tests::Execute(device,
+                           roi_pooling::createTestModel_nhwc,
+                           roi_pooling::is_ignored_nhwc,
+                           roi_pooling::get_examples_nhwc());
+}
+
+TEST_F(ValidationTest, roi_pooling_nhwc) {
+  const Model model = roi_pooling::createTestModel_nhwc();
+  const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nhwc());
+  validateModel(model);
+  validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nhwc_relaxed) {
+  generated_tests::Execute(device,
+                           roi_pooling::createTestModel_nhwc_relaxed,
+                           roi_pooling::is_ignored_nhwc_relaxed,
+                           roi_pooling::get_examples_nhwc_relaxed());
+}
+
+TEST_F(ValidationTest, roi_pooling_nhwc_relaxed) {
+  const Model model = roi_pooling::createTestModel_nhwc_relaxed();
+  const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nhwc_relaxed());
+  validateModel(model);
+  validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nhwc_quant8) {
+  generated_tests::Execute(device,
+                           roi_pooling::createTestModel_nhwc_quant8,
+                           roi_pooling::is_ignored_nhwc_quant8,
+                           roi_pooling::get_examples_nhwc_quant8());
+}
+
+TEST_F(ValidationTest, roi_pooling_nhwc_quant8) {
+  const Model model = roi_pooling::createTestModel_nhwc_quant8();
+  const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nhwc_quant8());
+  validateModel(model);
+  validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nchw) {
+  generated_tests::Execute(device,
+                           roi_pooling::createTestModel_nchw,
+                           roi_pooling::is_ignored_nchw,
+                           roi_pooling::get_examples_nchw());
+}
+
+TEST_F(ValidationTest, roi_pooling_nchw) {
+  const Model model = roi_pooling::createTestModel_nchw();
+  const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nchw());
+  validateModel(model);
+  validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nchw_relaxed) {
+  generated_tests::Execute(device,
+                           roi_pooling::createTestModel_nchw_relaxed,
+                           roi_pooling::is_ignored_nchw_relaxed,
+                           roi_pooling::get_examples_nchw_relaxed());
+}
+
+TEST_F(ValidationTest, roi_pooling_nchw_relaxed) {
+  const Model model = roi_pooling::createTestModel_nchw_relaxed();
+  const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nchw_relaxed());
+  validateModel(model);
+  validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nchw_quant8) {
+  generated_tests::Execute(device,
+                           roi_pooling::createTestModel_nchw_quant8,
+                           roi_pooling::is_ignored_nchw_quant8,
+                           roi_pooling::get_examples_nchw_quant8());
+}
+
+TEST_F(ValidationTest, roi_pooling_nchw_quant8) {
+  const Model model = roi_pooling::createTestModel_nchw_quant8();
+  const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nchw_quant8());
+  validateModel(model);
+  validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nhwc_2) {
+  generated_tests::Execute(device,
+                           roi_pooling::createTestModel_nhwc_2,
+                           roi_pooling::is_ignored_nhwc_2,
+                           roi_pooling::get_examples_nhwc_2());
+}
+
+TEST_F(ValidationTest, roi_pooling_nhwc_2) {
+  const Model model = roi_pooling::createTestModel_nhwc_2();
+  const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nhwc_2());
+  validateModel(model);
+  validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nhwc_relaxed_2) {
+  generated_tests::Execute(device,
+                           roi_pooling::createTestModel_nhwc_relaxed_2,
+                           roi_pooling::is_ignored_nhwc_relaxed_2,
+                           roi_pooling::get_examples_nhwc_relaxed_2());
+}
+
+TEST_F(ValidationTest, roi_pooling_nhwc_relaxed_2) {
+  const Model model = roi_pooling::createTestModel_nhwc_relaxed_2();
+  const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nhwc_relaxed_2());
+  validateModel(model);
+  validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nhwc_quant8_2) {
+  generated_tests::Execute(device,
+                           roi_pooling::createTestModel_nhwc_quant8_2,
+                           roi_pooling::is_ignored_nhwc_quant8_2,
+                           roi_pooling::get_examples_nhwc_quant8_2());
+}
+
+TEST_F(ValidationTest, roi_pooling_nhwc_quant8_2) {
+  const Model model = roi_pooling::createTestModel_nhwc_quant8_2();
+  const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nhwc_quant8_2());
+  validateModel(model);
+  validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nchw_2) {
+  generated_tests::Execute(device,
+                           roi_pooling::createTestModel_nchw_2,
+                           roi_pooling::is_ignored_nchw_2,
+                           roi_pooling::get_examples_nchw_2());
+}
+
+TEST_F(ValidationTest, roi_pooling_nchw_2) {
+  const Model model = roi_pooling::createTestModel_nchw_2();
+  const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nchw_2());
+  validateModel(model);
+  validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nchw_relaxed_2) {
+  generated_tests::Execute(device,
+                           roi_pooling::createTestModel_nchw_relaxed_2,
+                           roi_pooling::is_ignored_nchw_relaxed_2,
+                           roi_pooling::get_examples_nchw_relaxed_2());
+}
+
+TEST_F(ValidationTest, roi_pooling_nchw_relaxed_2) {
+  const Model model = roi_pooling::createTestModel_nchw_relaxed_2();
+  const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nchw_relaxed_2());
+  validateModel(model);
+  validateRequests(model, requests);
+}
+
+
+TEST_F(NeuralnetworksHidlTest, roi_pooling_nchw_quant8_2) {
+  generated_tests::Execute(device,
+                           roi_pooling::createTestModel_nchw_quant8_2,
+                           roi_pooling::is_ignored_nchw_quant8_2,
+                           roi_pooling::get_examples_nchw_quant8_2());
+}
+
+TEST_F(ValidationTest, roi_pooling_nchw_quant8_2) {
+  const Model model = roi_pooling::createTestModel_nchw_quant8_2();
+  const std::vector<Request> requests = createRequests(roi_pooling::get_examples_nchw_quant8_2());
+  validateModel(model);
+  validateRequests(model, requests);
+}
+
+
 // Generated from: rotated_bbox_transform.mod.py.
 namespace rotated_bbox_transform {
 // Generated rotated_bbox_transform test
diff --git a/nn/runtime/test/generated/examples/roi_pooling.example.cpp b/nn/runtime/test/generated/examples/roi_pooling.example.cpp
index 3e30d1e..295d49b 100644
--- a/nn/runtime/test/generated/examples/roi_pooling.example.cpp
+++ b/nn/runtime/test/generated/examples/roi_pooling.example.cpp
@@ -1,6 +1,7 @@
 // clang-format off
 // Generated file (from: roi_pooling.mod.py). Do not edit
-std::vector<MixedTypedExample> examples_nhwc = {
+std::vector<MixedTypedExample>& get_examples_nhwc() {
+static std::vector<MixedTypedExample> examples_nhwc = {
 // Begin of an example
 {
 .operands = {
@@ -33,8 +34,11 @@
 },
 }, // End of an example
 };
+return examples_nhwc;
+};
 
-std::vector<MixedTypedExample> examples_nhwc_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed = {
 // Begin of an example
 {
 .operands = {
@@ -67,8 +71,11 @@
 },
 }, // End of an example
 };
+return examples_nhwc_relaxed;
+};
 
-std::vector<MixedTypedExample> examples_nhwc_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8 = {
 // Begin of an example
 {
 .operands = {
@@ -101,8 +108,11 @@
 },
 }, // End of an example
 };
+return examples_nhwc_quant8;
+};
 
-std::vector<MixedTypedExample> examples_nchw = {
+std::vector<MixedTypedExample>& get_examples_nchw() {
+static std::vector<MixedTypedExample> examples_nchw = {
 // Begin of an example
 {
 .operands = {
@@ -135,8 +145,11 @@
 },
 }, // End of an example
 };
+return examples_nchw;
+};
 
-std::vector<MixedTypedExample> examples_nchw_relaxed = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed = {
 // Begin of an example
 {
 .operands = {
@@ -169,8 +182,11 @@
 },
 }, // End of an example
 };
+return examples_nchw_relaxed;
+};
 
-std::vector<MixedTypedExample> examples_nchw_quant8 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8() {
+static std::vector<MixedTypedExample> examples_nchw_quant8 = {
 // Begin of an example
 {
 .operands = {
@@ -203,8 +219,11 @@
 },
 }, // End of an example
 };
+return examples_nchw_quant8;
+};
 
-std::vector<MixedTypedExample> examples_nhwc_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_2() {
+static std::vector<MixedTypedExample> examples_nhwc_2 = {
 // Begin of an example
 {
 .operands = {
@@ -237,8 +256,11 @@
 },
 }, // End of an example
 };
+return examples_nhwc_2;
+};
 
-std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nhwc_relaxed_2 = {
 // Begin of an example
 {
 .operands = {
@@ -271,8 +293,11 @@
 },
 }, // End of an example
 };
+return examples_nhwc_relaxed_2;
+};
 
-std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nhwc_quant8_2() {
+static std::vector<MixedTypedExample> examples_nhwc_quant8_2 = {
 // Begin of an example
 {
 .operands = {
@@ -305,8 +330,11 @@
 },
 }, // End of an example
 };
+return examples_nhwc_quant8_2;
+};
 
-std::vector<MixedTypedExample> examples_nchw_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_2() {
+static std::vector<MixedTypedExample> examples_nchw_2 = {
 // Begin of an example
 {
 .operands = {
@@ -339,8 +367,11 @@
 },
 }, // End of an example
 };
+return examples_nchw_2;
+};
 
-std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_relaxed_2() {
+static std::vector<MixedTypedExample> examples_nchw_relaxed_2 = {
 // Begin of an example
 {
 .operands = {
@@ -373,8 +404,11 @@
 },
 }, // End of an example
 };
+return examples_nchw_relaxed_2;
+};
 
-std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
+std::vector<MixedTypedExample>& get_examples_nchw_quant8_2() {
+static std::vector<MixedTypedExample> examples_nchw_quant8_2 = {
 // Begin of an example
 {
 .operands = {
@@ -407,4 +441,6 @@
 },
 }, // End of an example
 };
+return examples_nchw_quant8_2;
+};
 
diff --git a/nn/runtime/test/generated/tests/roi_pooling.mod.py.cpp b/nn/runtime/test/generated/tests/roi_pooling.mod.py.cpp
index 98ebb53..923e9ea 100644
--- a/nn/runtime/test/generated/tests/roi_pooling.mod.py.cpp
+++ b/nn/runtime/test/generated/tests/roi_pooling.mod.py.cpp
@@ -12,72 +12,72 @@
 TEST_F(GeneratedTests, roi_pooling_nhwc) {
     execute(roi_pooling::CreateModel_nhwc,
             roi_pooling::is_ignored_nhwc,
-            roi_pooling::examples_nhwc);
+            roi_pooling::get_examples_nhwc());
 }
 
 TEST_F(GeneratedTests, roi_pooling_nhwc_relaxed) {
     execute(roi_pooling::CreateModel_nhwc_relaxed,
             roi_pooling::is_ignored_nhwc_relaxed,
-            roi_pooling::examples_nhwc_relaxed);
+            roi_pooling::get_examples_nhwc_relaxed());
 }
 
 TEST_F(GeneratedTests, roi_pooling_nhwc_quant8) {
     execute(roi_pooling::CreateModel_nhwc_quant8,
             roi_pooling::is_ignored_nhwc_quant8,
-            roi_pooling::examples_nhwc_quant8);
+            roi_pooling::get_examples_nhwc_quant8());
 }
 
 TEST_F(GeneratedTests, roi_pooling_nchw) {
     execute(roi_pooling::CreateModel_nchw,
             roi_pooling::is_ignored_nchw,
-            roi_pooling::examples_nchw);
+            roi_pooling::get_examples_nchw());
 }
 
 TEST_F(GeneratedTests, roi_pooling_nchw_relaxed) {
     execute(roi_pooling::CreateModel_nchw_relaxed,
             roi_pooling::is_ignored_nchw_relaxed,
-            roi_pooling::examples_nchw_relaxed);
+            roi_pooling::get_examples_nchw_relaxed());
 }
 
 TEST_F(GeneratedTests, roi_pooling_nchw_quant8) {
     execute(roi_pooling::CreateModel_nchw_quant8,
             roi_pooling::is_ignored_nchw_quant8,
-            roi_pooling::examples_nchw_quant8);
+            roi_pooling::get_examples_nchw_quant8());
 }
 
 TEST_F(GeneratedTests, roi_pooling_nhwc_2) {
     execute(roi_pooling::CreateModel_nhwc_2,
             roi_pooling::is_ignored_nhwc_2,
-            roi_pooling::examples_nhwc_2);
+            roi_pooling::get_examples_nhwc_2());
 }
 
 TEST_F(GeneratedTests, roi_pooling_nhwc_relaxed_2) {
     execute(roi_pooling::CreateModel_nhwc_relaxed_2,
             roi_pooling::is_ignored_nhwc_relaxed_2,
-            roi_pooling::examples_nhwc_relaxed_2);
+            roi_pooling::get_examples_nhwc_relaxed_2());
 }
 
 TEST_F(GeneratedTests, roi_pooling_nhwc_quant8_2) {
     execute(roi_pooling::CreateModel_nhwc_quant8_2,
             roi_pooling::is_ignored_nhwc_quant8_2,
-            roi_pooling::examples_nhwc_quant8_2);
+            roi_pooling::get_examples_nhwc_quant8_2());
 }
 
 TEST_F(GeneratedTests, roi_pooling_nchw_2) {
     execute(roi_pooling::CreateModel_nchw_2,
             roi_pooling::is_ignored_nchw_2,
-            roi_pooling::examples_nchw_2);
+            roi_pooling::get_examples_nchw_2());
 }
 
 TEST_F(GeneratedTests, roi_pooling_nchw_relaxed_2) {
     execute(roi_pooling::CreateModel_nchw_relaxed_2,
             roi_pooling::is_ignored_nchw_relaxed_2,
-            roi_pooling::examples_nchw_relaxed_2);
+            roi_pooling::get_examples_nchw_relaxed_2());
 }
 
 TEST_F(GeneratedTests, roi_pooling_nchw_quant8_2) {
     execute(roi_pooling::CreateModel_nchw_quant8_2,
             roi_pooling::is_ignored_nchw_quant8_2,
-            roi_pooling::examples_nchw_quant8_2);
+            roi_pooling::get_examples_nchw_quant8_2());
 }
 
diff --git a/nn/runtime/test/generated/vts_models/roi_pooling.model.cpp b/nn/runtime/test/generated/vts_models/roi_pooling.model.cpp
new file mode 100644
index 0000000..cec26cc
--- /dev/null
+++ b/nn/runtime/test/generated/vts_models/roi_pooling.model.cpp
@@ -0,0 +1,1074 @@
+// clang-format off
+// Generated file (from: roi_pooling.mod.py). Do not edit
+// Create the model
+Model createTestModel_nhwc() {
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {1, 4, 4, 1},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 4},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_INT32,
+            .dimensions = {2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 0, .length = 8},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 8, .length = 4},
+        },
+        {
+            .type = OperandType::BOOL,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 12, .length = 1},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 2, 2, 1},
+            .numberOfConsumers = 0,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_OUTPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        }
+    };
+
+    const std::vector<Operation> operations = {
+        {
+            .type = OperationType::ROI_POOLING,
+            .inputs = {0, 1, 2, 3, 4},
+            .outputs = {5},
+        }
+    };
+
+    const std::vector<uint32_t> inputIndexes = {0, 1};
+    const std::vector<uint32_t> outputIndexes = {5};
+    std::vector<uint8_t> operandValues = {
+      2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 63, 0
+    };
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+    };
+}
+
+inline bool is_ignored_nhwc(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nhwc_relaxed() {
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {1, 4, 4, 1},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 4},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_INT32,
+            .dimensions = {2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 0, .length = 8},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 8, .length = 4},
+        },
+        {
+            .type = OperandType::BOOL,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 12, .length = 1},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 2, 2, 1},
+            .numberOfConsumers = 0,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_OUTPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        }
+    };
+
+    const std::vector<Operation> operations = {
+        {
+            .type = OperationType::ROI_POOLING,
+            .inputs = {0, 1, 2, 3, 4},
+            .outputs = {5},
+        }
+    };
+
+    const std::vector<uint32_t> inputIndexes = {0, 1};
+    const std::vector<uint32_t> outputIndexes = {5};
+    std::vector<uint8_t> operandValues = {
+      2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 63, 0
+    };
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+        .relaxComputationFloat32toFloat16 = true,
+    };
+}
+
+inline bool is_ignored_nhwc_relaxed(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nhwc_quant8() {
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::TENSOR_QUANT8_ASYMM,
+            .dimensions = {1, 4, 4, 1},
+            .numberOfConsumers = 1,
+            .scale = 0.25f,
+            .zeroPoint = 128,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 4},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_INT32,
+            .dimensions = {2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 0, .length = 8},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 8, .length = 4},
+        },
+        {
+            .type = OperandType::BOOL,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 12, .length = 1},
+        },
+        {
+            .type = OperandType::TENSOR_QUANT8_ASYMM,
+            .dimensions = {4, 2, 2, 1},
+            .numberOfConsumers = 0,
+            .scale = 0.25f,
+            .zeroPoint = 128,
+            .lifetime = OperandLifeTime::MODEL_OUTPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        }
+    };
+
+    const std::vector<Operation> operations = {
+        {
+            .type = OperationType::ROI_POOLING,
+            .inputs = {0, 1, 2, 3, 4},
+            .outputs = {5},
+        }
+    };
+
+    const std::vector<uint32_t> inputIndexes = {0, 1};
+    const std::vector<uint32_t> outputIndexes = {5};
+    std::vector<uint8_t> operandValues = {
+      2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 63, 0
+    };
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+    };
+}
+
+inline bool is_ignored_nhwc_quant8(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nchw() {
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {1, 1, 4, 4},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 4},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_INT32,
+            .dimensions = {2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 0, .length = 8},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 8, .length = 4},
+        },
+        {
+            .type = OperandType::BOOL,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 12, .length = 1},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 1, 2, 2},
+            .numberOfConsumers = 0,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_OUTPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        }
+    };
+
+    const std::vector<Operation> operations = {
+        {
+            .type = OperationType::ROI_POOLING,
+            .inputs = {0, 1, 2, 3, 4},
+            .outputs = {5},
+        }
+    };
+
+    const std::vector<uint32_t> inputIndexes = {0, 1};
+    const std::vector<uint32_t> outputIndexes = {5};
+    std::vector<uint8_t> operandValues = {
+      2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 63, 1
+    };
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+    };
+}
+
+inline bool is_ignored_nchw(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nchw_relaxed() {
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {1, 1, 4, 4},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 4},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_INT32,
+            .dimensions = {2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 0, .length = 8},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 8, .length = 4},
+        },
+        {
+            .type = OperandType::BOOL,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 12, .length = 1},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 1, 2, 2},
+            .numberOfConsumers = 0,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_OUTPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        }
+    };
+
+    const std::vector<Operation> operations = {
+        {
+            .type = OperationType::ROI_POOLING,
+            .inputs = {0, 1, 2, 3, 4},
+            .outputs = {5},
+        }
+    };
+
+    const std::vector<uint32_t> inputIndexes = {0, 1};
+    const std::vector<uint32_t> outputIndexes = {5};
+    std::vector<uint8_t> operandValues = {
+      2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 63, 1
+    };
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+        .relaxComputationFloat32toFloat16 = true,
+    };
+}
+
+inline bool is_ignored_nchw_relaxed(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nchw_quant8() {
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::TENSOR_QUANT8_ASYMM,
+            .dimensions = {1, 1, 4, 4},
+            .numberOfConsumers = 1,
+            .scale = 0.25f,
+            .zeroPoint = 128,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 4},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_INT32,
+            .dimensions = {2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 0, .length = 8},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 8, .length = 4},
+        },
+        {
+            .type = OperandType::BOOL,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 12, .length = 1},
+        },
+        {
+            .type = OperandType::TENSOR_QUANT8_ASYMM,
+            .dimensions = {4, 1, 2, 2},
+            .numberOfConsumers = 0,
+            .scale = 0.25f,
+            .zeroPoint = 128,
+            .lifetime = OperandLifeTime::MODEL_OUTPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        }
+    };
+
+    const std::vector<Operation> operations = {
+        {
+            .type = OperationType::ROI_POOLING,
+            .inputs = {0, 1, 2, 3, 4},
+            .outputs = {5},
+        }
+    };
+
+    const std::vector<uint32_t> inputIndexes = {0, 1};
+    const std::vector<uint32_t> outputIndexes = {5};
+    std::vector<uint8_t> operandValues = {
+      2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 63, 1
+    };
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+    };
+}
+
+inline bool is_ignored_nchw_quant8(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nhwc_2() {
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {2, 4, 8, 2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 5},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_INT32,
+            .dimensions = {2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 0, .length = 8},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 8, .length = 4},
+        },
+        {
+            .type = OperandType::BOOL,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 12, .length = 1},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 2, 3, 2},
+            .numberOfConsumers = 0,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_OUTPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        }
+    };
+
+    const std::vector<Operation> operations = {
+        {
+            .type = OperationType::ROI_POOLING,
+            .inputs = {0, 1, 2, 3, 4},
+            .outputs = {5},
+        }
+    };
+
+    const std::vector<uint32_t> inputIndexes = {0, 1};
+    const std::vector<uint32_t> outputIndexes = {5};
+    std::vector<uint8_t> operandValues = {
+      2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 128, 62, 0
+    };
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+    };
+}
+
+inline bool is_ignored_nhwc_2(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nhwc_relaxed_2() {
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {2, 4, 8, 2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 5},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_INT32,
+            .dimensions = {2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 0, .length = 8},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 8, .length = 4},
+        },
+        {
+            .type = OperandType::BOOL,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 12, .length = 1},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 2, 3, 2},
+            .numberOfConsumers = 0,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_OUTPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        }
+    };
+
+    const std::vector<Operation> operations = {
+        {
+            .type = OperationType::ROI_POOLING,
+            .inputs = {0, 1, 2, 3, 4},
+            .outputs = {5},
+        }
+    };
+
+    const std::vector<uint32_t> inputIndexes = {0, 1};
+    const std::vector<uint32_t> outputIndexes = {5};
+    std::vector<uint8_t> operandValues = {
+      2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 128, 62, 0
+    };
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+        .relaxComputationFloat32toFloat16 = true,
+    };
+}
+
+inline bool is_ignored_nhwc_relaxed_2(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nhwc_quant8_2() {
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::TENSOR_QUANT8_ASYMM,
+            .dimensions = {2, 4, 8, 2},
+            .numberOfConsumers = 1,
+            .scale = 0.04f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 5},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_INT32,
+            .dimensions = {2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 0, .length = 8},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 8, .length = 4},
+        },
+        {
+            .type = OperandType::BOOL,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 12, .length = 1},
+        },
+        {
+            .type = OperandType::TENSOR_QUANT8_ASYMM,
+            .dimensions = {4, 2, 3, 2},
+            .numberOfConsumers = 0,
+            .scale = 0.04f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_OUTPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        }
+    };
+
+    const std::vector<Operation> operations = {
+        {
+            .type = OperationType::ROI_POOLING,
+            .inputs = {0, 1, 2, 3, 4},
+            .outputs = {5},
+        }
+    };
+
+    const std::vector<uint32_t> inputIndexes = {0, 1};
+    const std::vector<uint32_t> outputIndexes = {5};
+    std::vector<uint8_t> operandValues = {
+      2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 128, 62, 0
+    };
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+    };
+}
+
+inline bool is_ignored_nhwc_quant8_2(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nchw_2() {
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {2, 2, 4, 8},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 5},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_INT32,
+            .dimensions = {2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 0, .length = 8},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 8, .length = 4},
+        },
+        {
+            .type = OperandType::BOOL,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 12, .length = 1},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 2, 2, 3},
+            .numberOfConsumers = 0,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_OUTPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        }
+    };
+
+    const std::vector<Operation> operations = {
+        {
+            .type = OperationType::ROI_POOLING,
+            .inputs = {0, 1, 2, 3, 4},
+            .outputs = {5},
+        }
+    };
+
+    const std::vector<uint32_t> inputIndexes = {0, 1};
+    const std::vector<uint32_t> outputIndexes = {5};
+    std::vector<uint8_t> operandValues = {
+      2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 128, 62, 1
+    };
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+    };
+}
+
+inline bool is_ignored_nchw_2(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nchw_relaxed_2() {
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {2, 2, 4, 8},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 5},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_INT32,
+            .dimensions = {2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 0, .length = 8},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 8, .length = 4},
+        },
+        {
+            .type = OperandType::BOOL,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 12, .length = 1},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 2, 2, 3},
+            .numberOfConsumers = 0,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_OUTPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        }
+    };
+
+    const std::vector<Operation> operations = {
+        {
+            .type = OperationType::ROI_POOLING,
+            .inputs = {0, 1, 2, 3, 4},
+            .outputs = {5},
+        }
+    };
+
+    const std::vector<uint32_t> inputIndexes = {0, 1};
+    const std::vector<uint32_t> outputIndexes = {5};
+    std::vector<uint8_t> operandValues = {
+      2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 128, 62, 1
+    };
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+        .relaxComputationFloat32toFloat16 = true,
+    };
+}
+
+inline bool is_ignored_nchw_relaxed_2(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}
+
+// Create the model
+Model createTestModel_nchw_quant8_2() {
+    const std::vector<Operand> operands = {
+        {
+            .type = OperandType::TENSOR_QUANT8_ASYMM,
+            .dimensions = {2, 2, 4, 8},
+            .numberOfConsumers = 1,
+            .scale = 0.04f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_FLOAT32,
+            .dimensions = {4, 5},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_INPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        },
+        {
+            .type = OperandType::TENSOR_INT32,
+            .dimensions = {2},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 0, .length = 8},
+        },
+        {
+            .type = OperandType::FLOAT32,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 8, .length = 4},
+        },
+        {
+            .type = OperandType::BOOL,
+            .dimensions = {},
+            .numberOfConsumers = 1,
+            .scale = 0.0f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::CONSTANT_COPY,
+            .location = {.poolIndex = 0, .offset = 12, .length = 1},
+        },
+        {
+            .type = OperandType::TENSOR_QUANT8_ASYMM,
+            .dimensions = {4, 2, 2, 3},
+            .numberOfConsumers = 0,
+            .scale = 0.04f,
+            .zeroPoint = 0,
+            .lifetime = OperandLifeTime::MODEL_OUTPUT,
+            .location = {.poolIndex = 0, .offset = 0, .length = 0},
+        }
+    };
+
+    const std::vector<Operation> operations = {
+        {
+            .type = OperationType::ROI_POOLING,
+            .inputs = {0, 1, 2, 3, 4},
+            .outputs = {5},
+        }
+    };
+
+    const std::vector<uint32_t> inputIndexes = {0, 1};
+    const std::vector<uint32_t> outputIndexes = {5};
+    std::vector<uint8_t> operandValues = {
+      2, 0, 0, 0, 3, 0, 0, 0, 0, 0, 128, 62, 1
+    };
+    const std::vector<hidl_memory> pools = {};
+
+    return {
+        .operands = operands,
+        .operations = operations,
+        .inputIndexes = inputIndexes,
+        .outputIndexes = outputIndexes,
+        .operandValues = operandValues,
+        .pools = pools,
+    };
+}
+
+inline bool is_ignored_nchw_quant8_2(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}
+