diff --git a/neuralnetworks/1.0/vts/functional/Android.bp b/neuralnetworks/1.0/vts/functional/Android.bp
index ffba45c..234527a 100644
--- a/neuralnetworks/1.0/vts/functional/Android.bp
+++ b/neuralnetworks/1.0/vts/functional/Android.bp
@@ -39,17 +39,14 @@
     ],
 }
 
-cc_test {
-    name: "VtsHalNeuralnetworksV1_0TargetTest",
+cc_defaults {
+    name: "VtsHalNeuralNetworksTargetTestDefaults",
+    defaults: ["VtsHalTargetTestDefaults"],
     srcs: [
-        "BasicTests.cpp",
-        "GeneratedTests.cpp",
         "ValidateModel.cpp",
         "ValidateRequest.cpp",
-        "ValidationTests.cpp",
         "VtsHalNeuralnetworks.cpp",
     ],
-    defaults: ["VtsHalTargetTestDefaults"],
     static_libs: [
         "android.hardware.neuralnetworks@1.0",
         "android.hardware.neuralnetworks@1.1",
@@ -66,4 +63,22 @@
         "libneuralnetworks_generated_test_harness_headers",
         "libneuralnetworks_generated_tests",
     ],
+    // Bug: http://b/74200014 - Disable arm32 asan since it triggers internal
+    // error in ld.gold.
+    arch: {
+        arm: {
+            sanitize: {
+                never: true,
+            },
+        },
+    },
+}
+
+cc_test {
+    name: "VtsHalNeuralnetworksV1_0TargetTest",
+    defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
+    srcs: [
+        "BasicTests.cpp",
+        "GeneratedTests.cpp",
+    ],
 }
diff --git a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
index 1f66c43..802d018 100644
--- a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
@@ -45,6 +45,7 @@
 using ::test_helper::Int32Operands;
 using ::test_helper::MixedTyped;
 using ::test_helper::MixedTypedExample;
+using ::test_helper::MixedTypedIndex;
 using ::test_helper::Quant8Operands;
 using ::test_helper::resize_accordingly;
 
@@ -63,14 +64,16 @@
     copy_back_<int32_t>(dst, ra, src);
     copy_back_<uint8_t>(dst, ra, src);
     copy_back_<int16_t>(dst, ra, src);
-    static_assert(4 == std::tuple_size<MixedTyped>::value,
+    copy_back_<_Float16>(dst, ra, src);
+    static_assert(5 == std::tuple_size<MixedTyped>::value,
                   "Number of types in MixedTyped changed, but copy_back function wasn't updated");
 }
 
 // Top level driver for models and examples generated by test_generator.py
 // Test driver for those generated from ml/nn/runtime/test/spec
 void EvaluatePreparedModel(sp<IPreparedModel>& preparedModel, std::function<bool(int)> is_ignored,
-                           const std::vector<MixedTypedExample>& examples, float fpAtol = 1e-5f,
+                           const std::vector<MixedTypedExample>& examples,
+                           bool hasRelaxedFloat32Model = false, float fpAtol = 1e-5f,
                            float fpRtol = 1e-5f) {
     const uint32_t INPUT = 0;
     const uint32_t OUTPUT = 1;
@@ -78,13 +81,20 @@
     int example_no = 1;
     for (auto& example : examples) {
         SCOPED_TRACE(example_no++);
-
         const MixedTyped& inputs = example.operands.first;
         const MixedTyped& golden = example.operands.second;
 
+        const bool hasFloat16Inputs = !std::get<MixedTypedIndex<_Float16>::index>(inputs).empty();
+        if (hasRelaxedFloat32Model || hasFloat16Inputs) {
+            // TODO: Adjust the error limit based on testing.
+            // If in relaxed mode, set the absolute tolerance to be 5ULP of FP16.
+            fpAtol = 5.0f * 0.0009765625f;
+            // Set the relative tolerance to be 5ULP of the corresponding FP precision.
+            fpRtol = 5.0f * 0.0009765625f;
+        }
+
         std::vector<RequestArgument> inputs_info, outputs_info;
         uint32_t inputSize = 0, outputSize = 0;
-
         // This function only partially specifies the metadata (vector of RequestArguments).
         // The contents are copied over below.
         for_all(inputs, [&inputs_info, &inputSize](int index, auto, auto s) {
@@ -228,7 +238,8 @@
     ASSERT_NE(nullptr, preparedModel.get());
 
     float fpAtol = 1e-5f, fpRtol = 5.0f * 1.1920928955078125e-7f;
-    EvaluatePreparedModel(preparedModel, is_ignored, examples, fpAtol, fpRtol);
+    EvaluatePreparedModel(preparedModel, is_ignored, examples,
+                          /*hasRelaxedFloat32Model=*/false, fpAtol, fpRtol);
 }
 
 void Execute(const sp<V1_1::IDevice>& device, std::function<V1_1::Model(void)> create_model,
@@ -272,13 +283,8 @@
     EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
     ASSERT_NE(nullptr, preparedModel.get());
 
-    // TODO: Adjust the error limit based on testing.
-    // If in relaxed mode, set the absolute tolerance to be 5ULP of FP16.
-    float fpAtol = !model.relaxComputationFloat32toFloat16 ? 1e-5f : 5.0f * 0.0009765625f;
-    // Set the relative tolerance to be 5ULP of the corresponding FP precision.
-    float fpRtol = !model.relaxComputationFloat32toFloat16 ? 5.0f * 1.1920928955078125e-7f
-                                                           : 5.0f * 0.0009765625f;
-    EvaluatePreparedModel(preparedModel, is_ignored, examples, fpAtol, fpRtol);
+    EvaluatePreparedModel(preparedModel, is_ignored, examples,
+                          model.relaxComputationFloat32toFloat16);
 }
 
 // TODO: Reduce code duplication.
@@ -323,13 +329,8 @@
     EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
     ASSERT_NE(nullptr, preparedModel.get());
 
-    // TODO: Adjust the error limit based on testing.
-    // If in relaxed mode, set the absolute tolerance to be 5ULP of FP16.
-    float fpAtol = !model.relaxComputationFloat32toFloat16 ? 1e-5f : 5.0f * 0.0009765625f;
-    // Set the relative tolerance to be 5ULP of the corresponding FP precision.
-    float fpRtol = !model.relaxComputationFloat32toFloat16 ? 5.0f * 1.1920928955078125e-7f
-                                                           : 5.0f * 0.0009765625f;
-    EvaluatePreparedModel(preparedModel, is_ignored, examples, fpAtol, fpRtol);
+    EvaluatePreparedModel(preparedModel, is_ignored, examples,
+                          model.relaxComputationFloat32toFloat16);
 }
 
 }  // namespace generated_tests
diff --git a/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp
index ac1ae60..26b4d8b 100644
--- a/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp
@@ -45,6 +45,8 @@
 using ::android::nn::allocateSharedMemory;
 using ::test_helper::MixedTypedExample;
 
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
 // in frameworks/ml/nn/runtime/tests/generated/
 #include "all_generated_V1_0_vts_tests.cpp"
 
diff --git a/neuralnetworks/1.0/vts/functional/Models.h b/neuralnetworks/1.0/vts/functional/Models.h
deleted file mode 100644
index 268e671..0000000
--- a/neuralnetworks/1.0/vts/functional/Models.h
+++ /dev/null
@@ -1,200 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#ifndef VTS_HAL_NEURALNETWORKS_V1_0_VTS_FUNCTIONAL_MODELS_H
-#define VTS_HAL_NEURALNETWORKS_V1_0_VTS_FUNCTIONAL_MODELS_H
-
-#define LOG_TAG "neuralnetworks_hidl_hal_test"
-
-#include "TestHarness.h"
-
-#include <android/hardware/neuralnetworks/1.0/types.h>
-
-namespace android {
-namespace hardware {
-namespace neuralnetworks {
-namespace V1_0 {
-namespace vts {
-namespace functional {
-
-using MixedTypedExample = test_helper::MixedTypedExample;
-
-#define FOR_EACH_TEST_MODEL(FN)                          \
-    FN(add_broadcast_quant8)                             \
-    FN(add)                                              \
-    FN(add_quant8)                                       \
-    FN(avg_pool_float_1)                                 \
-    FN(avg_pool_float_2)                                 \
-    FN(avg_pool_float_3)                                 \
-    FN(avg_pool_float_4)                                 \
-    FN(avg_pool_float_5)                                 \
-    FN(avg_pool_quant8_1)                                \
-    FN(avg_pool_quant8_2)                                \
-    FN(avg_pool_quant8_3)                                \
-    FN(avg_pool_quant8_4)                                \
-    FN(avg_pool_quant8_5)                                \
-    FN(concat_float_1)                                   \
-    FN(concat_float_2)                                   \
-    FN(concat_float_3)                                   \
-    FN(concat_quant8_1)                                  \
-    FN(concat_quant8_2)                                  \
-    FN(concat_quant8_3)                                  \
-    FN(conv_1_h3_w2_SAME)                                \
-    FN(conv_1_h3_w2_VALID)                               \
-    FN(conv_3_h3_w2_SAME)                                \
-    FN(conv_3_h3_w2_VALID)                               \
-    FN(conv_float_2)                                     \
-    FN(conv_float_channels)                              \
-    FN(conv_float_channels_weights_as_inputs)            \
-    FN(conv_float_large)                                 \
-    FN(conv_float_large_weights_as_inputs)               \
-    FN(conv_float)                                       \
-    FN(conv_float_weights_as_inputs)                     \
-    FN(conv_quant8_2)                                    \
-    FN(conv_quant8_channels)                             \
-    FN(conv_quant8_channels_weights_as_inputs)           \
-    FN(conv_quant8_large)                                \
-    FN(conv_quant8_large_weights_as_inputs)              \
-    FN(conv_quant8)                                      \
-    FN(conv_quant8_overflow)                             \
-    FN(conv_quant8_overflow_weights_as_inputs)           \
-    FN(conv_quant8_weights_as_inputs)                    \
-    FN(depth_to_space_float_1)                           \
-    FN(depth_to_space_float_2)                           \
-    FN(depth_to_space_float_3)                           \
-    FN(depth_to_space_quant8_1)                          \
-    FN(depth_to_space_quant8_2)                          \
-    FN(depthwise_conv2d_float_2)                         \
-    FN(depthwise_conv2d_float_large_2)                   \
-    FN(depthwise_conv2d_float_large_2_weights_as_inputs) \
-    FN(depthwise_conv2d_float_large)                     \
-    FN(depthwise_conv2d_float_large_weights_as_inputs)   \
-    FN(depthwise_conv2d_float)                           \
-    FN(depthwise_conv2d_float_weights_as_inputs)         \
-    FN(depthwise_conv2d_quant8_2)                        \
-    FN(depthwise_conv2d_quant8_large)                    \
-    FN(depthwise_conv2d_quant8_large_weights_as_inputs)  \
-    FN(depthwise_conv2d_quant8)                          \
-    FN(depthwise_conv2d_quant8_weights_as_inputs)        \
-    FN(depthwise_conv)                                   \
-    FN(dequantize)                                       \
-    FN(embedding_lookup)                                 \
-    FN(floor)                                            \
-    FN(fully_connected_float_2)                          \
-    FN(fully_connected_float_large)                      \
-    FN(fully_connected_float_large_weights_as_inputs)    \
-    FN(fully_connected_float)                            \
-    FN(fully_connected_float_weights_as_inputs)          \
-    FN(fully_connected_quant8_2)                         \
-    FN(fully_connected_quant8_large)                     \
-    FN(fully_connected_quant8_large_weights_as_inputs)   \
-    FN(fully_connected_quant8)                           \
-    FN(fully_connected_quant8_weights_as_inputs)         \
-    FN(hashtable_lookup_float)                           \
-    FN(hashtable_lookup_quant8)                          \
-    FN(l2_normalization_2)                               \
-    FN(l2_normalization_large)                           \
-    FN(l2_normalization)                                 \
-    FN(l2_pool_float_2)                                  \
-    FN(l2_pool_float_large)                              \
-    FN(l2_pool_float)                                    \
-    FN(local_response_norm_float_1)                      \
-    FN(local_response_norm_float_2)                      \
-    FN(local_response_norm_float_3)                      \
-    FN(local_response_norm_float_4)                      \
-    FN(logistic_float_1)                                 \
-    FN(logistic_float_2)                                 \
-    FN(logistic_quant8_1)                                \
-    FN(logistic_quant8_2)                                \
-    FN(lsh_projection_2)                                 \
-    FN(lsh_projection)                                   \
-    FN(lsh_projection_weights_as_inputs)                 \
-    FN(lstm2)                                            \
-    FN(lstm2_state2)                                     \
-    FN(lstm2_state)                                      \
-    FN(lstm3)                                            \
-    FN(lstm3_state2)                                     \
-    FN(lstm3_state3)                                     \
-    FN(lstm3_state)                                      \
-    FN(lstm)                                             \
-    FN(lstm_state2)                                      \
-    FN(lstm_state)                                       \
-    FN(max_pool_float_1)                                 \
-    FN(max_pool_float_2)                                 \
-    FN(max_pool_float_3)                                 \
-    FN(max_pool_float_4)                                 \
-    FN(max_pool_quant8_1)                                \
-    FN(max_pool_quant8_2)                                \
-    FN(max_pool_quant8_3)                                \
-    FN(max_pool_quant8_4)                                \
-    FN(mobilenet_224_gender_basic_fixed)                 \
-    FN(mobilenet_quantized)                              \
-    FN(mul_broadcast_quant8)                             \
-    FN(mul)                                              \
-    FN(mul_quant8)                                       \
-    FN(mul_relu)                                         \
-    FN(relu1_float_1)                                    \
-    FN(relu1_float_2)                                    \
-    FN(relu1_quant8_1)                                   \
-    FN(relu1_quant8_2)                                   \
-    FN(relu6_float_1)                                    \
-    FN(relu6_float_2)                                    \
-    FN(relu6_quant8_1)                                   \
-    FN(relu6_quant8_2)                                   \
-    FN(relu_float_1)                                     \
-    FN(relu_float_2)                                     \
-    FN(relu_quant8_1)                                    \
-    FN(relu_quant8_2)                                    \
-    FN(reshape)                                          \
-    FN(reshape_quant8)                                   \
-    FN(reshape_quant8_weights_as_inputs)                 \
-    FN(reshape_weights_as_inputs)                        \
-    FN(resize_bilinear_2)                                \
-    FN(resize_bilinear)                                  \
-    FN(rnn)                                              \
-    FN(rnn_state)                                        \
-    FN(softmax_float_1)                                  \
-    FN(softmax_float_2)                                  \
-    FN(softmax_quant8_1)                                 \
-    FN(softmax_quant8_2)                                 \
-    FN(space_to_depth_float_1)                           \
-    FN(space_to_depth_float_2)                           \
-    FN(space_to_depth_float_3)                           \
-    FN(space_to_depth_quant8_1)                          \
-    FN(space_to_depth_quant8_2)                          \
-    FN(svdf2)                                            \
-    FN(svdf)                                             \
-    FN(svdf_state)                                       \
-    FN(tanh)
-
-#define FORWARD_DECLARE_GENERATED_OBJECTS(function) \
-    namespace function {                            \
-    extern std::vector<MixedTypedExample> examples; \
-    Model createTestModel();                        \
-    }
-
-FOR_EACH_TEST_MODEL(FORWARD_DECLARE_GENERATED_OBJECTS)
-
-#undef FORWARD_DECLARE_GENERATED_OBJECTS
-
-}  // namespace functional
-}  // namespace vts
-}  // namespace V1_0
-}  // namespace neuralnetworks
-}  // namespace hardware
-}  // namespace android
-
-#endif  // VTS_HAL_NEURALNETWORKS_V1_0_VTS_FUNCTIONAL_MODELS_H
diff --git a/neuralnetworks/1.0/vts/functional/ValidationTests.cpp b/neuralnetworks/1.0/vts/functional/ValidationTests.cpp
deleted file mode 100644
index d3cbcff..0000000
--- a/neuralnetworks/1.0/vts/functional/ValidationTests.cpp
+++ /dev/null
@@ -1,50 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#define LOG_TAG "neuralnetworks_hidl_hal_test"
-
-#include "Models.h"
-#include "VtsHalNeuralnetworks.h"
-
-namespace android {
-namespace hardware {
-namespace neuralnetworks {
-namespace V1_0 {
-namespace vts {
-namespace functional {
-
-// forward declarations
-std::vector<Request> createRequests(const std::vector<::test_helper::MixedTypedExample>& examples);
-
-// generate validation tests
-#define VTS_CURRENT_TEST_CASE(TestName)                                           \
-    TEST_F(ValidationTest, TestName) {                                            \
-        const Model model = TestName::createTestModel();                          \
-        const std::vector<Request> requests = createRequests(TestName::examples); \
-        validateModel(model);                                                     \
-        validateRequests(model, requests);                                        \
-    }
-
-FOR_EACH_TEST_MODEL(VTS_CURRENT_TEST_CASE)
-
-#undef VTS_CURRENT_TEST_CASE
-
-}  // namespace functional
-}  // namespace vts
-}  // namespace V1_0
-}  // namespace neuralnetworks
-}  // namespace hardware
-}  // namespace android
diff --git a/neuralnetworks/1.1/vts/functional/Android.bp b/neuralnetworks/1.1/vts/functional/Android.bp
index a1c0f1f..07c9b6e 100644
--- a/neuralnetworks/1.1/vts/functional/Android.bp
+++ b/neuralnetworks/1.1/vts/functional/Android.bp
@@ -14,40 +14,21 @@
 // limitations under the License.
 //
 
+// Tests for V1_0 models using the V1_1 HAL.
+cc_test {
+    name: "VtsHalNeuralnetworksV1_1CompatV1_0TargetTest",
+    defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
+    srcs: [
+        "GeneratedTestsV1_0.cpp",
+    ],
+}
+
+// Tests for V1_1 models.
 cc_test {
     name: "VtsHalNeuralnetworksV1_1TargetTest",
+    defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
     srcs: [
         "BasicTests.cpp",
         "GeneratedTests.cpp",
-        "ValidateModel.cpp",
-        "ValidateRequest.cpp",
-        "ValidationTests.cpp",
-        "VtsHalNeuralnetworks.cpp",
     ],
-    defaults: ["VtsHalTargetTestDefaults"],
-    static_libs: [
-        "android.hardware.neuralnetworks@1.0",
-        "android.hardware.neuralnetworks@1.1",
-        "android.hardware.neuralnetworks@1.2",
-        "android.hidl.allocator@1.0",
-        "android.hidl.memory@1.0",
-        "libgmock",
-        "libhidlmemory",
-        "libneuralnetworks_utils",
-        "VtsHalNeuralnetworksTest_utils",
-    ],
-    header_libs: [
-        "libneuralnetworks_headers",
-        "libneuralnetworks_generated_test_harness_headers",
-        "libneuralnetworks_generated_tests",
-    ],
-    // Bug: http://b/74200014 - Disable arm32 asan since it triggers internal
-    // error in ld.gold.
-    arch: {
-        arm: {
-            sanitize: {
-                never: true,
-            },
-        },
-    },
 }
diff --git a/neuralnetworks/1.1/vts/functional/GeneratedTests.cpp b/neuralnetworks/1.1/vts/functional/GeneratedTests.cpp
index 1f49904..290a9d3 100644
--- a/neuralnetworks/1.1/vts/functional/GeneratedTests.cpp
+++ b/neuralnetworks/1.1/vts/functional/GeneratedTests.cpp
@@ -45,8 +45,9 @@
 using ::android::nn::allocateSharedMemory;
 using ::test_helper::MixedTypedExample;
 
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
 // in frameworks/ml/nn/runtime/tests/generated/
-#include "all_generated_V1_0_vts_tests.cpp"
 #include "all_generated_V1_1_vts_tests.cpp"
 
 }  // namespace functional
diff --git a/neuralnetworks/1.1/vts/functional/GeneratedTestsV1_0.cpp b/neuralnetworks/1.1/vts/functional/GeneratedTestsV1_0.cpp
new file mode 100644
index 0000000..a36b24c
--- /dev/null
+++ b/neuralnetworks/1.1/vts/functional/GeneratedTestsV1_0.cpp
@@ -0,0 +1,58 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "VtsHalNeuralnetworks.h"
+
+#include "Callbacks.h"
+#include "TestHarness.h"
+#include "Utils.h"
+
+#include <android-base/logging.h>
+#include <android/hidl/memory/1.0/IMemory.h>
+#include <hidlmemory/mapping.h>
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+
+namespace generated_tests {
+using ::test_helper::MixedTypedExample;
+extern void Execute(const sp<V1_1::IDevice>&, std::function<V1_1::Model(void)>,
+                    std::function<bool(int)>, const std::vector<MixedTypedExample>&);
+}  // namespace generated_tests
+
+namespace V1_1 {
+namespace vts {
+namespace functional {
+
+using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+using ::android::nn::allocateSharedMemory;
+using ::test_helper::MixedTypedExample;
+
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
+// in frameworks/ml/nn/runtime/tests/generated/
+#include "all_generated_V1_0_vts_tests.cpp"
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_1
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.1/vts/functional/Models.h b/neuralnetworks/1.1/vts/functional/Models.h
deleted file mode 100644
index 62bc95e..0000000
--- a/neuralnetworks/1.1/vts/functional/Models.h
+++ /dev/null
@@ -1,377 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#ifndef VTS_HAL_NEURALNETWORKS_V1_1_VTS_FUNCTIONAL_MODELS_H
-#define VTS_HAL_NEURALNETWORKS_V1_1_VTS_FUNCTIONAL_MODELS_H
-
-#define LOG_TAG "neuralnetworks_hidl_hal_test"
-
-#include "TestHarness.h"
-
-#include <android/hardware/neuralnetworks/1.0/types.h>
-#include <android/hardware/neuralnetworks/1.1/types.h>
-
-namespace android {
-namespace hardware {
-namespace neuralnetworks {
-namespace V1_1 {
-namespace vts {
-namespace functional {
-
-using MixedTypedExample = test_helper::MixedTypedExample;
-
-#define FOR_EACH_TEST_MODEL(FN)                                  \
-    FN(add)                                                      \
-    FN(add_broadcast_quant8)                                     \
-    FN(add_quant8)                                               \
-    FN(add_relaxed)                                              \
-    FN(avg_pool_float_1)                                         \
-    FN(avg_pool_float_1_relaxed)                                 \
-    FN(avg_pool_float_2)                                         \
-    FN(avg_pool_float_2_relaxed)                                 \
-    FN(avg_pool_float_3)                                         \
-    FN(avg_pool_float_3_relaxed)                                 \
-    FN(avg_pool_float_4)                                         \
-    FN(avg_pool_float_4_relaxed)                                 \
-    FN(avg_pool_float_5)                                         \
-    FN(avg_pool_float_5_relaxed)                                 \
-    FN(avg_pool_quant8_1)                                        \
-    FN(avg_pool_quant8_2)                                        \
-    FN(avg_pool_quant8_3)                                        \
-    FN(avg_pool_quant8_4)                                        \
-    FN(avg_pool_quant8_5)                                        \
-    FN(batch_to_space)                                           \
-    FN(batch_to_space_float_1)                                   \
-    FN(batch_to_space_float_1_relaxed)                           \
-    FN(batch_to_space_quant8_1)                                  \
-    FN(batch_to_space_relaxed)                                   \
-    FN(concat_float_1)                                           \
-    FN(concat_float_1_relaxed)                                   \
-    FN(concat_float_2)                                           \
-    FN(concat_float_2_relaxed)                                   \
-    FN(concat_float_3)                                           \
-    FN(concat_float_3_relaxed)                                   \
-    FN(concat_quant8_1)                                          \
-    FN(concat_quant8_2)                                          \
-    FN(concat_quant8_3)                                          \
-    FN(conv_1_h3_w2_SAME)                                        \
-    FN(conv_1_h3_w2_SAME_relaxed)                                \
-    FN(conv_1_h3_w2_VALID)                                       \
-    FN(conv_1_h3_w2_VALID_relaxed)                               \
-    FN(conv_3_h3_w2_SAME)                                        \
-    FN(conv_3_h3_w2_SAME_relaxed)                                \
-    FN(conv_3_h3_w2_VALID)                                       \
-    FN(conv_3_h3_w2_VALID_relaxed)                               \
-    FN(conv_float)                                               \
-    FN(conv_float_2)                                             \
-    FN(conv_float_2_relaxed)                                     \
-    FN(conv_float_channels)                                      \
-    FN(conv_float_channels_relaxed)                              \
-    FN(conv_float_channels_weights_as_inputs)                    \
-    FN(conv_float_channels_weights_as_inputs_relaxed)            \
-    FN(conv_float_large)                                         \
-    FN(conv_float_large_relaxed)                                 \
-    FN(conv_float_large_weights_as_inputs)                       \
-    FN(conv_float_large_weights_as_inputs_relaxed)               \
-    FN(conv_float_relaxed)                                       \
-    FN(conv_float_weights_as_inputs)                             \
-    FN(conv_float_weights_as_inputs_relaxed)                     \
-    FN(conv_quant8)                                              \
-    FN(conv_quant8_2)                                            \
-    FN(conv_quant8_channels)                                     \
-    FN(conv_quant8_channels_weights_as_inputs)                   \
-    FN(conv_quant8_large)                                        \
-    FN(conv_quant8_large_weights_as_inputs)                      \
-    FN(conv_quant8_overflow)                                     \
-    FN(conv_quant8_overflow_weights_as_inputs)                   \
-    FN(conv_quant8_weights_as_inputs)                            \
-    FN(depth_to_space_float_1)                                   \
-    FN(depth_to_space_float_1_relaxed)                           \
-    FN(depth_to_space_float_2)                                   \
-    FN(depth_to_space_float_2_relaxed)                           \
-    FN(depth_to_space_float_3)                                   \
-    FN(depth_to_space_float_3_relaxed)                           \
-    FN(depth_to_space_quant8_1)                                  \
-    FN(depth_to_space_quant8_2)                                  \
-    FN(depthwise_conv)                                           \
-    FN(depthwise_conv2d_float)                                   \
-    FN(depthwise_conv2d_float_2)                                 \
-    FN(depthwise_conv2d_float_2_relaxed)                         \
-    FN(depthwise_conv2d_float_large)                             \
-    FN(depthwise_conv2d_float_large_2)                           \
-    FN(depthwise_conv2d_float_large_2_relaxed)                   \
-    FN(depthwise_conv2d_float_large_2_weights_as_inputs)         \
-    FN(depthwise_conv2d_float_large_2_weights_as_inputs_relaxed) \
-    FN(depthwise_conv2d_float_large_relaxed)                     \
-    FN(depthwise_conv2d_float_large_weights_as_inputs)           \
-    FN(depthwise_conv2d_float_large_weights_as_inputs_relaxed)   \
-    FN(depthwise_conv2d_float_relaxed)                           \
-    FN(depthwise_conv2d_float_weights_as_inputs)                 \
-    FN(depthwise_conv2d_float_weights_as_inputs_relaxed)         \
-    FN(depthwise_conv2d_quant8)                                  \
-    FN(depthwise_conv2d_quant8_2)                                \
-    FN(depthwise_conv2d_quant8_large)                            \
-    FN(depthwise_conv2d_quant8_large_weights_as_inputs)          \
-    FN(depthwise_conv2d_quant8_weights_as_inputs)                \
-    FN(depthwise_conv_relaxed)                                   \
-    FN(dequantize)                                               \
-    FN(dequantize_relaxed)                                       \
-    FN(div)                                                      \
-    FN(div_broadcast_float)                                      \
-    FN(div_broadcast_float_relaxed)                              \
-    FN(div_relaxed)                                              \
-    FN(embedding_lookup)                                         \
-    FN(embedding_lookup_relaxed)                                 \
-    FN(floor)                                                    \
-    FN(floor_relaxed)                                            \
-    FN(fully_connected_float)                                    \
-    FN(fully_connected_float_2)                                  \
-    FN(fully_connected_float_2_relaxed)                          \
-    FN(fully_connected_float_4d_simple)                          \
-    FN(fully_connected_float_4d_simple_relaxed)                  \
-    FN(fully_connected_float_large)                              \
-    FN(fully_connected_float_large_relaxed)                      \
-    FN(fully_connected_float_large_weights_as_inputs)            \
-    FN(fully_connected_float_large_weights_as_inputs_relaxed)    \
-    FN(fully_connected_float_relaxed)                            \
-    FN(fully_connected_float_weights_as_inputs)                  \
-    FN(fully_connected_float_weights_as_inputs_relaxed)          \
-    FN(fully_connected_quant8)                                   \
-    FN(fully_connected_quant8_2)                                 \
-    FN(fully_connected_quant8_large)                             \
-    FN(fully_connected_quant8_large_weights_as_inputs)           \
-    FN(fully_connected_quant8_weights_as_inputs)                 \
-    FN(hashtable_lookup_float)                                   \
-    FN(hashtable_lookup_float_relaxed)                           \
-    FN(hashtable_lookup_quant8)                                  \
-    FN(l2_normalization)                                         \
-    FN(l2_normalization_2)                                       \
-    FN(l2_normalization_2_relaxed)                               \
-    FN(l2_normalization_large)                                   \
-    FN(l2_normalization_large_relaxed)                           \
-    FN(l2_normalization_relaxed)                                 \
-    FN(l2_pool_float)                                            \
-    FN(l2_pool_float_2)                                          \
-    FN(l2_pool_float_2_relaxed)                                  \
-    FN(l2_pool_float_large)                                      \
-    FN(l2_pool_float_large_relaxed)                              \
-    FN(l2_pool_float_relaxed)                                    \
-    FN(local_response_norm_float_1)                              \
-    FN(local_response_norm_float_1_relaxed)                      \
-    FN(local_response_norm_float_2)                              \
-    FN(local_response_norm_float_2_relaxed)                      \
-    FN(local_response_norm_float_3)                              \
-    FN(local_response_norm_float_3_relaxed)                      \
-    FN(local_response_norm_float_4)                              \
-    FN(local_response_norm_float_4_relaxed)                      \
-    FN(logistic_float_1)                                         \
-    FN(logistic_float_1_relaxed)                                 \
-    FN(logistic_float_2)                                         \
-    FN(logistic_float_2_relaxed)                                 \
-    FN(logistic_quant8_1)                                        \
-    FN(logistic_quant8_2)                                        \
-    FN(lsh_projection)                                           \
-    FN(lsh_projection_2)                                         \
-    FN(lsh_projection_2_relaxed)                                 \
-    FN(lsh_projection_relaxed)                                   \
-    FN(lsh_projection_weights_as_inputs)                         \
-    FN(lsh_projection_weights_as_inputs_relaxed)                 \
-    FN(lstm)                                                     \
-    FN(lstm2)                                                    \
-    FN(lstm2_relaxed)                                            \
-    FN(lstm2_state)                                              \
-    FN(lstm2_state2)                                             \
-    FN(lstm2_state2_relaxed)                                     \
-    FN(lstm2_state_relaxed)                                      \
-    FN(lstm3)                                                    \
-    FN(lstm3_relaxed)                                            \
-    FN(lstm3_state)                                              \
-    FN(lstm3_state2)                                             \
-    FN(lstm3_state2_relaxed)                                     \
-    FN(lstm3_state3)                                             \
-    FN(lstm3_state3_relaxed)                                     \
-    FN(lstm3_state_relaxed)                                      \
-    FN(lstm_relaxed)                                             \
-    FN(lstm_state)                                               \
-    FN(lstm_state2)                                              \
-    FN(lstm_state2_relaxed)                                      \
-    FN(lstm_state_relaxed)                                       \
-    FN(max_pool_float_1)                                         \
-    FN(max_pool_float_1_relaxed)                                 \
-    FN(max_pool_float_2)                                         \
-    FN(max_pool_float_2_relaxed)                                 \
-    FN(max_pool_float_3)                                         \
-    FN(max_pool_float_3_relaxed)                                 \
-    FN(max_pool_float_4)                                         \
-    FN(max_pool_float_4_relaxed)                                 \
-    FN(max_pool_quant8_1)                                        \
-    FN(max_pool_quant8_2)                                        \
-    FN(max_pool_quant8_3)                                        \
-    FN(max_pool_quant8_4)                                        \
-    FN(mean)                                                     \
-    FN(mean_float_1)                                             \
-    FN(mean_float_1_relaxed)                                     \
-    FN(mean_float_2)                                             \
-    FN(mean_float_2_relaxed)                                     \
-    FN(mean_quant8_1)                                            \
-    FN(mean_quant8_2)                                            \
-    FN(mean_relaxed)                                             \
-    FN(mobilenet_224_gender_basic_fixed)                         \
-    FN(mobilenet_224_gender_basic_fixed_relaxed)                 \
-    FN(mobilenet_quantized)                                      \
-    FN(mul)                                                      \
-    FN(mul_broadcast_quant8)                                     \
-    FN(mul_quant8)                                               \
-    FN(mul_relaxed)                                              \
-    FN(mul_relu)                                                 \
-    FN(mul_relu_relaxed)                                         \
-    FN(pad)                                                      \
-    FN(pad_float_1)                                              \
-    FN(pad_float_1_relaxed)                                      \
-    FN(pad_relaxed)                                              \
-    FN(relu1_float_1)                                            \
-    FN(relu1_float_1_relaxed)                                    \
-    FN(relu1_float_2)                                            \
-    FN(relu1_float_2_relaxed)                                    \
-    FN(relu1_quant8_1)                                           \
-    FN(relu1_quant8_2)                                           \
-    FN(relu6_float_1)                                            \
-    FN(relu6_float_1_relaxed)                                    \
-    FN(relu6_float_2)                                            \
-    FN(relu6_float_2_relaxed)                                    \
-    FN(relu6_quant8_1)                                           \
-    FN(relu6_quant8_2)                                           \
-    FN(relu_float_1)                                             \
-    FN(relu_float_1_relaxed)                                     \
-    FN(relu_float_2)                                             \
-    FN(relu_float_2_relaxed)                                     \
-    FN(relu_quant8_1)                                            \
-    FN(relu_quant8_2)                                            \
-    FN(reshape)                                                  \
-    FN(reshape_quant8)                                           \
-    FN(reshape_quant8_weights_as_inputs)                         \
-    FN(reshape_relaxed)                                          \
-    FN(reshape_weights_as_inputs)                                \
-    FN(reshape_weights_as_inputs_relaxed)                        \
-    FN(resize_bilinear)                                          \
-    FN(resize_bilinear_2)                                        \
-    FN(resize_bilinear_2_relaxed)                                \
-    FN(resize_bilinear_relaxed)                                  \
-    FN(rnn)                                                      \
-    FN(rnn_relaxed)                                              \
-    FN(rnn_state)                                                \
-    FN(rnn_state_relaxed)                                        \
-    FN(softmax_float_1)                                          \
-    FN(softmax_float_1_relaxed)                                  \
-    FN(softmax_float_2)                                          \
-    FN(softmax_float_2_relaxed)                                  \
-    FN(softmax_quant8_1)                                         \
-    FN(softmax_quant8_2)                                         \
-    FN(space_to_batch)                                           \
-    FN(space_to_batch_float_1)                                   \
-    FN(space_to_batch_float_1_relaxed)                           \
-    FN(space_to_batch_float_2)                                   \
-    FN(space_to_batch_float_2_relaxed)                           \
-    FN(space_to_batch_float_3)                                   \
-    FN(space_to_batch_float_3_relaxed)                           \
-    FN(space_to_batch_quant8_1)                                  \
-    FN(space_to_batch_quant8_2)                                  \
-    FN(space_to_batch_quant8_3)                                  \
-    FN(space_to_batch_relaxed)                                   \
-    FN(space_to_depth_float_1)                                   \
-    FN(space_to_depth_float_1_relaxed)                           \
-    FN(space_to_depth_float_2)                                   \
-    FN(space_to_depth_float_2_relaxed)                           \
-    FN(space_to_depth_float_3)                                   \
-    FN(space_to_depth_float_3_relaxed)                           \
-    FN(space_to_depth_quant8_1)                                  \
-    FN(space_to_depth_quant8_2)                                  \
-    FN(squeeze)                                                  \
-    FN(squeeze_float_1)                                          \
-    FN(squeeze_float_1_relaxed)                                  \
-    FN(squeeze_quant8_1)                                         \
-    FN(squeeze_relaxed)                                          \
-    FN(strided_slice)                                            \
-    FN(strided_slice_float_1)                                    \
-    FN(strided_slice_float_10)                                   \
-    FN(strided_slice_float_10_relaxed)                           \
-    FN(strided_slice_float_11)                                   \
-    FN(strided_slice_float_11_relaxed)                           \
-    FN(strided_slice_float_1_relaxed)                            \
-    FN(strided_slice_float_2)                                    \
-    FN(strided_slice_float_2_relaxed)                            \
-    FN(strided_slice_float_3)                                    \
-    FN(strided_slice_float_3_relaxed)                            \
-    FN(strided_slice_float_4)                                    \
-    FN(strided_slice_float_4_relaxed)                            \
-    FN(strided_slice_float_5)                                    \
-    FN(strided_slice_float_5_relaxed)                            \
-    FN(strided_slice_float_6)                                    \
-    FN(strided_slice_float_6_relaxed)                            \
-    FN(strided_slice_float_7)                                    \
-    FN(strided_slice_float_7_relaxed)                            \
-    FN(strided_slice_float_8)                                    \
-    FN(strided_slice_float_8_relaxed)                            \
-    FN(strided_slice_float_9)                                    \
-    FN(strided_slice_float_9_relaxed)                            \
-    FN(strided_slice_qaunt8_10)                                  \
-    FN(strided_slice_qaunt8_11)                                  \
-    FN(strided_slice_quant8_1)                                   \
-    FN(strided_slice_quant8_2)                                   \
-    FN(strided_slice_quant8_3)                                   \
-    FN(strided_slice_quant8_4)                                   \
-    FN(strided_slice_quant8_5)                                   \
-    FN(strided_slice_quant8_6)                                   \
-    FN(strided_slice_quant8_7)                                   \
-    FN(strided_slice_quant8_8)                                   \
-    FN(strided_slice_quant8_9)                                   \
-    FN(strided_slice_relaxed)                                    \
-    FN(sub)                                                      \
-    FN(sub_broadcast_float)                                      \
-    FN(sub_broadcast_float_relaxed)                              \
-    FN(sub_relaxed)                                              \
-    FN(svdf)                                                     \
-    FN(svdf2)                                                    \
-    FN(svdf2_relaxed)                                            \
-    FN(svdf_relaxed)                                             \
-    FN(svdf_state)                                               \
-    FN(svdf_state_relaxed)                                       \
-    FN(tanh)                                                     \
-    FN(tanh_relaxed)                                             \
-    FN(transpose)                                                \
-    FN(transpose_float_1)                                        \
-    FN(transpose_float_1_relaxed)                                \
-    FN(transpose_quant8_1)                                       \
-    FN(transpose_relaxed)
-
-#define FORWARD_DECLARE_GENERATED_OBJECTS(function) \
-    namespace function {                            \
-    extern std::vector<MixedTypedExample> examples; \
-    Model createTestModel();                        \
-    }
-
-FOR_EACH_TEST_MODEL(FORWARD_DECLARE_GENERATED_OBJECTS)
-
-#undef FORWARD_DECLARE_GENERATED_OBJECTS
-
-}  // namespace functional
-}  // namespace vts
-}  // namespace V1_1
-}  // namespace neuralnetworks
-}  // namespace hardware
-}  // namespace android
-
-#endif  // VTS_HAL_NEURALNETWORKS_V1_1_VTS_FUNCTIONAL_MODELS_H
diff --git a/neuralnetworks/1.1/vts/functional/ValidationTests.cpp b/neuralnetworks/1.1/vts/functional/ValidationTests.cpp
deleted file mode 100644
index 1c35ba8..0000000
--- a/neuralnetworks/1.1/vts/functional/ValidationTests.cpp
+++ /dev/null
@@ -1,50 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#define LOG_TAG "neuralnetworks_hidl_hal_test"
-
-#include "Models.h"
-#include "VtsHalNeuralnetworks.h"
-
-namespace android {
-namespace hardware {
-namespace neuralnetworks {
-namespace V1_1 {
-namespace vts {
-namespace functional {
-
-// forward declarations
-std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
-
-// generate validation tests
-#define VTS_CURRENT_TEST_CASE(TestName)                                           \
-    TEST_F(ValidationTest, TestName) {                                            \
-        const Model model = TestName::createTestModel();                          \
-        const std::vector<Request> requests = createRequests(TestName::examples); \
-        validateModel(model);                                                     \
-        validateRequests(model, requests);                                        \
-    }
-
-FOR_EACH_TEST_MODEL(VTS_CURRENT_TEST_CASE)
-
-#undef VTS_CURRENT_TEST_CASE
-
-}  // namespace functional
-}  // namespace vts
-}  // namespace V1_1
-}  // namespace neuralnetworks
-}  // namespace hardware
-}  // namespace android
diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal
index 366e626..fe9b312 100644
--- a/neuralnetworks/1.2/types.hal
+++ b/neuralnetworks/1.2/types.hal
@@ -33,15 +33,13 @@
     /**
      * A tensor of 16 bit signed integers that represent real numbers.
      *
-     * Attached to this tensor are two numbers that are used to convert the 16
-     * bit integer to the real value and vice versa. These two numbers are:
-     * - scale: a 32 bit floating point value greater than zero.
-     * - zeroPoint: a 32 bit integer, in range [-32768, 32767].
+     * Attached to this tensor is a number representing real value scale that is
+     * used to convert the 16 bit number to a real value in the following way:
+     * realValue = integerValue * scale.
      *
-     * The formula is:
-     * realValue = (integerValue - zeroPoint) * scale.
+     * scale is a 32 bit floating point with value greater then zero.
      */
-    TENSOR_QUANT16_ASYMM = 7,
+    TENSOR_QUANT16_SYMM = 7,
     /** A tensor of 16 bit floating point values. */
     TENSOR_FLOAT16 = 8,
 };
diff --git a/neuralnetworks/1.2/vts/functional/Android.bp b/neuralnetworks/1.2/vts/functional/Android.bp
index 09d0dc3..085d5db 100644
--- a/neuralnetworks/1.2/vts/functional/Android.bp
+++ b/neuralnetworks/1.2/vts/functional/Android.bp
@@ -14,40 +14,30 @@
 // limitations under the License.
 //
 
+// Tests for V1_0 models using the V1_2 HAL.
+cc_test {
+    name: "VtsHalNeuralnetworksV1_2CompatV1_0TargetTest",
+    defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
+    srcs: [
+        "GeneratedTestsV1_0.cpp",
+    ]
+}
+
+// Tests for V1_1 models using the V1_2 HAL.
+cc_test {
+    name: "VtsHalNeuralnetworksV1_2CompatV1_1TargetTest",
+    defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
+    srcs: [
+        "GeneratedTestsV1_1.cpp",
+    ],
+}
+
+// Tests for V1_2 models.
 cc_test {
     name: "VtsHalNeuralnetworksV1_2TargetTest",
+    defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
     srcs: [
         "BasicTests.cpp",
         "GeneratedTests.cpp",
-        "ValidateModel.cpp",
-        "ValidateRequest.cpp",
-        "ValidationTests.cpp",
-        "VtsHalNeuralnetworks.cpp",
     ],
-    defaults: ["VtsHalTargetTestDefaults"],
-    static_libs: [
-        "android.hardware.neuralnetworks@1.0",
-        "android.hardware.neuralnetworks@1.1",
-        "android.hardware.neuralnetworks@1.2",
-        "android.hidl.allocator@1.0",
-        "android.hidl.memory@1.0",
-        "libgmock",
-        "libhidlmemory",
-        "libneuralnetworks_utils",
-        "VtsHalNeuralnetworksTest_utils",
-    ],
-    header_libs: [
-        "libneuralnetworks_headers",
-        "libneuralnetworks_generated_test_harness_headers",
-        "libneuralnetworks_generated_tests",
-    ],
-    // Bug: http://b/74200014 - Disable arm32 asan since it triggers internal
-    // error in ld.gold.
-    arch: {
-        arm: {
-            sanitize: {
-                never: true,
-            },
-        },
-    },
 }
diff --git a/neuralnetworks/1.2/vts/functional/GeneratedTests.cpp b/neuralnetworks/1.2/vts/functional/GeneratedTests.cpp
index e87fa6b..79d5a60 100644
--- a/neuralnetworks/1.2/vts/functional/GeneratedTests.cpp
+++ b/neuralnetworks/1.2/vts/functional/GeneratedTests.cpp
@@ -45,9 +45,9 @@
 using ::android::nn::allocateSharedMemory;
 using ::test_helper::MixedTypedExample;
 
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
 // in frameworks/ml/nn/runtime/tests/generated/
-#include "all_generated_V1_0_vts_tests.cpp"
-#include "all_generated_V1_1_vts_tests.cpp"
 #include "all_generated_V1_2_vts_tests.cpp"
 
 }  // namespace functional
diff --git a/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_0.cpp b/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_0.cpp
new file mode 100644
index 0000000..42e22b0
--- /dev/null
+++ b/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_0.cpp
@@ -0,0 +1,58 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "VtsHalNeuralnetworks.h"
+
+#include "Callbacks.h"
+#include "TestHarness.h"
+#include "Utils.h"
+
+#include <android-base/logging.h>
+#include <android/hidl/memory/1.0/IMemory.h>
+#include <hidlmemory/mapping.h>
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+
+namespace generated_tests {
+using ::test_helper::MixedTypedExample;
+extern void Execute(const sp<V1_2::IDevice>&, std::function<V1_2::Model(void)>,
+                    std::function<bool(int)>, const std::vector<MixedTypedExample>&);
+}  // namespace generated_tests
+
+namespace V1_2 {
+namespace vts {
+namespace functional {
+
+using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+using ::android::nn::allocateSharedMemory;
+using ::test_helper::MixedTypedExample;
+
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
+// in frameworks/ml/nn/runtime/tests/generated/
+#include "all_generated_V1_0_vts_tests.cpp"
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_2
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_1.cpp b/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_1.cpp
new file mode 100644
index 0000000..aab5cb6
--- /dev/null
+++ b/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_1.cpp
@@ -0,0 +1,58 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "VtsHalNeuralnetworks.h"
+
+#include "Callbacks.h"
+#include "TestHarness.h"
+#include "Utils.h"
+
+#include <android-base/logging.h>
+#include <android/hidl/memory/1.0/IMemory.h>
+#include <hidlmemory/mapping.h>
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+
+namespace generated_tests {
+using ::test_helper::MixedTypedExample;
+extern void Execute(const sp<V1_2::IDevice>&, std::function<V1_2::Model(void)>,
+                    std::function<bool(int)>, const std::vector<MixedTypedExample>&);
+}  // namespace generated_tests
+
+namespace V1_2 {
+namespace vts {
+namespace functional {
+
+using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+using ::android::nn::allocateSharedMemory;
+using ::test_helper::MixedTypedExample;
+
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
+// in frameworks/ml/nn/runtime/tests/generated/
+#include "all_generated_V1_1_vts_tests.cpp"
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_2
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.2/vts/functional/Models.h b/neuralnetworks/1.2/vts/functional/Models.h
deleted file mode 100644
index 2d512fe..0000000
--- a/neuralnetworks/1.2/vts/functional/Models.h
+++ /dev/null
@@ -1,379 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#ifndef VTS_HAL_NEURALNETWORKS_V1_2_VTS_FUNCTIONAL_MODELS_H
-#define VTS_HAL_NEURALNETWORKS_V1_2_VTS_FUNCTIONAL_MODELS_H
-
-#define LOG_TAG "neuralnetworks_hidl_hal_test"
-
-#include "TestHarness.h"
-
-#include <android/hardware/neuralnetworks/1.0/types.h>
-#include <android/hardware/neuralnetworks/1.1/types.h>
-#include <android/hardware/neuralnetworks/1.2/types.h>
-
-namespace android {
-namespace hardware {
-namespace neuralnetworks {
-namespace V1_2 {
-namespace vts {
-namespace functional {
-
-using MixedTypedExample = test_helper::MixedTypedExample;
-
-#define FOR_EACH_TEST_MODEL(FN)                                  \
-    FN(add)                                                      \
-    FN(add_broadcast_quant8)                                     \
-    FN(add_quant8)                                               \
-    FN(add_relaxed)                                              \
-    FN(avg_pool_float_1)                                         \
-    FN(avg_pool_float_1_relaxed)                                 \
-    FN(avg_pool_float_2)                                         \
-    FN(avg_pool_float_2_relaxed)                                 \
-    FN(avg_pool_float_3)                                         \
-    FN(avg_pool_float_3_relaxed)                                 \
-    FN(avg_pool_float_4)                                         \
-    FN(avg_pool_float_4_relaxed)                                 \
-    FN(avg_pool_float_5)                                         \
-    FN(avg_pool_float_5_relaxed)                                 \
-    FN(avg_pool_quant8_1)                                        \
-    FN(avg_pool_quant8_2)                                        \
-    FN(avg_pool_quant8_3)                                        \
-    FN(avg_pool_quant8_4)                                        \
-    FN(avg_pool_quant8_5)                                        \
-    FN(batch_to_space)                                           \
-    FN(batch_to_space_float_1)                                   \
-    FN(batch_to_space_float_1_relaxed)                           \
-    FN(batch_to_space_quant8_1)                                  \
-    FN(batch_to_space_relaxed)                                   \
-    FN(concat_float_1)                                           \
-    FN(concat_float_1_relaxed)                                   \
-    FN(concat_float_2)                                           \
-    FN(concat_float_2_relaxed)                                   \
-    FN(concat_float_3)                                           \
-    FN(concat_float_3_relaxed)                                   \
-    FN(concat_quant8_1)                                          \
-    FN(concat_quant8_2)                                          \
-    FN(concat_quant8_3)                                          \
-    FN(conv_1_h3_w2_SAME)                                        \
-    FN(conv_1_h3_w2_SAME_relaxed)                                \
-    FN(conv_1_h3_w2_VALID)                                       \
-    FN(conv_1_h3_w2_VALID_relaxed)                               \
-    FN(conv_3_h3_w2_SAME)                                        \
-    FN(conv_3_h3_w2_SAME_relaxed)                                \
-    FN(conv_3_h3_w2_VALID)                                       \
-    FN(conv_3_h3_w2_VALID_relaxed)                               \
-    FN(conv_float)                                               \
-    FN(conv_float_2)                                             \
-    FN(conv_float_2_relaxed)                                     \
-    FN(conv_float_channels)                                      \
-    FN(conv_float_channels_relaxed)                              \
-    FN(conv_float_channels_weights_as_inputs)                    \
-    FN(conv_float_channels_weights_as_inputs_relaxed)            \
-    FN(conv_float_large)                                         \
-    FN(conv_float_large_relaxed)                                 \
-    FN(conv_float_large_weights_as_inputs)                       \
-    FN(conv_float_large_weights_as_inputs_relaxed)               \
-    FN(conv_float_relaxed)                                       \
-    FN(conv_float_weights_as_inputs)                             \
-    FN(conv_float_weights_as_inputs_relaxed)                     \
-    FN(conv_quant8)                                              \
-    FN(conv_quant8_2)                                            \
-    FN(conv_quant8_channels)                                     \
-    FN(conv_quant8_channels_weights_as_inputs)                   \
-    FN(conv_quant8_large)                                        \
-    FN(conv_quant8_large_weights_as_inputs)                      \
-    FN(conv_quant8_overflow)                                     \
-    FN(conv_quant8_overflow_weights_as_inputs)                   \
-    FN(conv_quant8_weights_as_inputs)                            \
-    FN(depth_to_space_float_1)                                   \
-    FN(depth_to_space_float_1_relaxed)                           \
-    FN(depth_to_space_float_2)                                   \
-    FN(depth_to_space_float_2_relaxed)                           \
-    FN(depth_to_space_float_3)                                   \
-    FN(depth_to_space_float_3_relaxed)                           \
-    FN(depth_to_space_quant8_1)                                  \
-    FN(depth_to_space_quant8_2)                                  \
-    FN(depthwise_conv)                                           \
-    FN(depthwise_conv2d_float)                                   \
-    FN(depthwise_conv2d_float_2)                                 \
-    FN(depthwise_conv2d_float_2_relaxed)                         \
-    FN(depthwise_conv2d_float_large)                             \
-    FN(depthwise_conv2d_float_large_2)                           \
-    FN(depthwise_conv2d_float_large_2_relaxed)                   \
-    FN(depthwise_conv2d_float_large_2_weights_as_inputs)         \
-    FN(depthwise_conv2d_float_large_2_weights_as_inputs_relaxed) \
-    FN(depthwise_conv2d_float_large_relaxed)                     \
-    FN(depthwise_conv2d_float_large_weights_as_inputs)           \
-    FN(depthwise_conv2d_float_large_weights_as_inputs_relaxed)   \
-    FN(depthwise_conv2d_float_relaxed)                           \
-    FN(depthwise_conv2d_float_weights_as_inputs)                 \
-    FN(depthwise_conv2d_float_weights_as_inputs_relaxed)         \
-    FN(depthwise_conv2d_quant8)                                  \
-    FN(depthwise_conv2d_quant8_2)                                \
-    FN(depthwise_conv2d_quant8_large)                            \
-    FN(depthwise_conv2d_quant8_large_weights_as_inputs)          \
-    FN(depthwise_conv2d_quant8_weights_as_inputs)                \
-    FN(depthwise_conv_relaxed)                                   \
-    FN(dequantize)                                               \
-    FN(dequantize_relaxed)                                       \
-    FN(div)                                                      \
-    FN(div_broadcast_float)                                      \
-    FN(div_broadcast_float_relaxed)                              \
-    FN(div_relaxed)                                              \
-    FN(embedding_lookup)                                         \
-    FN(embedding_lookup_relaxed)                                 \
-    FN(floor)                                                    \
-    FN(floor_relaxed)                                            \
-    FN(fully_connected_float)                                    \
-    FN(fully_connected_float_2)                                  \
-    FN(fully_connected_float_2_relaxed)                          \
-    FN(fully_connected_float_4d_simple)                          \
-    FN(fully_connected_float_4d_simple_relaxed)                  \
-    FN(fully_connected_float_large)                              \
-    FN(fully_connected_float_large_relaxed)                      \
-    FN(fully_connected_float_large_weights_as_inputs)            \
-    FN(fully_connected_float_large_weights_as_inputs_relaxed)    \
-    FN(fully_connected_float_relaxed)                            \
-    FN(fully_connected_float_weights_as_inputs)                  \
-    FN(fully_connected_float_weights_as_inputs_relaxed)          \
-    FN(fully_connected_quant8)                                   \
-    FN(fully_connected_quant8_2)                                 \
-    FN(fully_connected_quant8_large)                             \
-    FN(fully_connected_quant8_large_weights_as_inputs)           \
-    FN(fully_connected_quant8_weights_as_inputs)                 \
-    FN(hashtable_lookup_float)                                   \
-    FN(hashtable_lookup_float_relaxed)                           \
-    FN(hashtable_lookup_quant8)                                  \
-    FN(l2_normalization)                                         \
-    FN(l2_normalization_2)                                       \
-    FN(l2_normalization_2_relaxed)                               \
-    FN(l2_normalization_large)                                   \
-    FN(l2_normalization_large_relaxed)                           \
-    FN(l2_normalization_relaxed)                                 \
-    FN(l2_pool_float)                                            \
-    FN(l2_pool_float_2)                                          \
-    FN(l2_pool_float_2_relaxed)                                  \
-    FN(l2_pool_float_large)                                      \
-    FN(l2_pool_float_large_relaxed)                              \
-    FN(l2_pool_float_relaxed)                                    \
-    FN(local_response_norm_float_1)                              \
-    FN(local_response_norm_float_1_relaxed)                      \
-    FN(local_response_norm_float_2)                              \
-    FN(local_response_norm_float_2_relaxed)                      \
-    FN(local_response_norm_float_3)                              \
-    FN(local_response_norm_float_3_relaxed)                      \
-    FN(local_response_norm_float_4)                              \
-    FN(local_response_norm_float_4_relaxed)                      \
-    FN(logistic_float_1)                                         \
-    FN(logistic_float_1_relaxed)                                 \
-    FN(logistic_float_2)                                         \
-    FN(logistic_float_2_relaxed)                                 \
-    FN(logistic_quant8_1)                                        \
-    FN(logistic_quant8_2)                                        \
-    FN(lsh_projection)                                           \
-    FN(lsh_projection_2)                                         \
-    FN(lsh_projection_2_relaxed)                                 \
-    FN(lsh_projection_relaxed)                                   \
-    FN(lsh_projection_weights_as_inputs)                         \
-    FN(lsh_projection_weights_as_inputs_relaxed)                 \
-    FN(lstm)                                                     \
-    FN(lstm2)                                                    \
-    FN(lstm2_relaxed)                                            \
-    FN(lstm2_state)                                              \
-    FN(lstm2_state2)                                             \
-    FN(lstm2_state2_relaxed)                                     \
-    FN(lstm2_state_relaxed)                                      \
-    FN(lstm3)                                                    \
-    FN(lstm3_relaxed)                                            \
-    FN(lstm3_state)                                              \
-    FN(lstm3_state2)                                             \
-    FN(lstm3_state2_relaxed)                                     \
-    FN(lstm3_state3)                                             \
-    FN(lstm3_state3_relaxed)                                     \
-    FN(lstm3_state_relaxed)                                      \
-    FN(lstm_relaxed)                                             \
-    FN(lstm_state)                                               \
-    FN(lstm_state2)                                              \
-    FN(lstm_state2_relaxed)                                      \
-    FN(lstm_state_relaxed)                                       \
-    FN(max_pool_float_1)                                         \
-    FN(max_pool_float_1_relaxed)                                 \
-    FN(max_pool_float_2)                                         \
-    FN(max_pool_float_2_relaxed)                                 \
-    FN(max_pool_float_3)                                         \
-    FN(max_pool_float_3_relaxed)                                 \
-    FN(max_pool_float_4)                                         \
-    FN(max_pool_float_4_relaxed)                                 \
-    FN(max_pool_quant8_1)                                        \
-    FN(max_pool_quant8_2)                                        \
-    FN(max_pool_quant8_3)                                        \
-    FN(max_pool_quant8_4)                                        \
-    FN(mean)                                                     \
-    FN(mean_float_1)                                             \
-    FN(mean_float_1_relaxed)                                     \
-    FN(mean_float_2)                                             \
-    FN(mean_float_2_relaxed)                                     \
-    FN(mean_quant8_1)                                            \
-    FN(mean_quant8_2)                                            \
-    FN(mean_relaxed)                                             \
-    FN(mobilenet_224_gender_basic_fixed)                         \
-    FN(mobilenet_224_gender_basic_fixed_relaxed)                 \
-    FN(mobilenet_quantized)                                      \
-    FN(mul)                                                      \
-    FN(mul_broadcast_quant8)                                     \
-    FN(mul_quant8)                                               \
-    FN(mul_relaxed)                                              \
-    FN(mul_relu)                                                 \
-    FN(mul_relu_relaxed)                                         \
-    FN(pad)                                                      \
-    FN(pad_float_1)                                              \
-    FN(pad_float_1_relaxed)                                      \
-    FN(pad_relaxed)                                              \
-    FN(random_multinomial)                                       \
-    FN(relu1_float_1)                                            \
-    FN(relu1_float_1_relaxed)                                    \
-    FN(relu1_float_2)                                            \
-    FN(relu1_float_2_relaxed)                                    \
-    FN(relu1_quant8_1)                                           \
-    FN(relu1_quant8_2)                                           \
-    FN(relu6_float_1)                                            \
-    FN(relu6_float_1_relaxed)                                    \
-    FN(relu6_float_2)                                            \
-    FN(relu6_float_2_relaxed)                                    \
-    FN(relu6_quant8_1)                                           \
-    FN(relu6_quant8_2)                                           \
-    FN(relu_float_1)                                             \
-    FN(relu_float_1_relaxed)                                     \
-    FN(relu_float_2)                                             \
-    FN(relu_float_2_relaxed)                                     \
-    FN(relu_quant8_1)                                            \
-    FN(relu_quant8_2)                                            \
-    FN(reshape)                                                  \
-    FN(reshape_quant8)                                           \
-    FN(reshape_quant8_weights_as_inputs)                         \
-    FN(reshape_relaxed)                                          \
-    FN(reshape_weights_as_inputs)                                \
-    FN(reshape_weights_as_inputs_relaxed)                        \
-    FN(resize_bilinear)                                          \
-    FN(resize_bilinear_2)                                        \
-    FN(resize_bilinear_2_relaxed)                                \
-    FN(resize_bilinear_relaxed)                                  \
-    FN(rnn)                                                      \
-    FN(rnn_relaxed)                                              \
-    FN(rnn_state)                                                \
-    FN(rnn_state_relaxed)                                        \
-    FN(softmax_float_1)                                          \
-    FN(softmax_float_1_relaxed)                                  \
-    FN(softmax_float_2)                                          \
-    FN(softmax_float_2_relaxed)                                  \
-    FN(softmax_quant8_1)                                         \
-    FN(softmax_quant8_2)                                         \
-    FN(space_to_batch)                                           \
-    FN(space_to_batch_float_1)                                   \
-    FN(space_to_batch_float_1_relaxed)                           \
-    FN(space_to_batch_float_2)                                   \
-    FN(space_to_batch_float_2_relaxed)                           \
-    FN(space_to_batch_float_3)                                   \
-    FN(space_to_batch_float_3_relaxed)                           \
-    FN(space_to_batch_quant8_1)                                  \
-    FN(space_to_batch_quant8_2)                                  \
-    FN(space_to_batch_quant8_3)                                  \
-    FN(space_to_batch_relaxed)                                   \
-    FN(space_to_depth_float_1)                                   \
-    FN(space_to_depth_float_1_relaxed)                           \
-    FN(space_to_depth_float_2)                                   \
-    FN(space_to_depth_float_2_relaxed)                           \
-    FN(space_to_depth_float_3)                                   \
-    FN(space_to_depth_float_3_relaxed)                           \
-    FN(space_to_depth_quant8_1)                                  \
-    FN(space_to_depth_quant8_2)                                  \
-    FN(squeeze)                                                  \
-    FN(squeeze_float_1)                                          \
-    FN(squeeze_float_1_relaxed)                                  \
-    FN(squeeze_quant8_1)                                         \
-    FN(squeeze_relaxed)                                          \
-    FN(strided_slice)                                            \
-    FN(strided_slice_float_1)                                    \
-    FN(strided_slice_float_10)                                   \
-    FN(strided_slice_float_10_relaxed)                           \
-    FN(strided_slice_float_11)                                   \
-    FN(strided_slice_float_11_relaxed)                           \
-    FN(strided_slice_float_1_relaxed)                            \
-    FN(strided_slice_float_2)                                    \
-    FN(strided_slice_float_2_relaxed)                            \
-    FN(strided_slice_float_3)                                    \
-    FN(strided_slice_float_3_relaxed)                            \
-    FN(strided_slice_float_4)                                    \
-    FN(strided_slice_float_4_relaxed)                            \
-    FN(strided_slice_float_5)                                    \
-    FN(strided_slice_float_5_relaxed)                            \
-    FN(strided_slice_float_6)                                    \
-    FN(strided_slice_float_6_relaxed)                            \
-    FN(strided_slice_float_7)                                    \
-    FN(strided_slice_float_7_relaxed)                            \
-    FN(strided_slice_float_8)                                    \
-    FN(strided_slice_float_8_relaxed)                            \
-    FN(strided_slice_float_9)                                    \
-    FN(strided_slice_float_9_relaxed)                            \
-    FN(strided_slice_qaunt8_10)                                  \
-    FN(strided_slice_qaunt8_11)                                  \
-    FN(strided_slice_quant8_1)                                   \
-    FN(strided_slice_quant8_2)                                   \
-    FN(strided_slice_quant8_3)                                   \
-    FN(strided_slice_quant8_4)                                   \
-    FN(strided_slice_quant8_5)                                   \
-    FN(strided_slice_quant8_6)                                   \
-    FN(strided_slice_quant8_7)                                   \
-    FN(strided_slice_quant8_8)                                   \
-    FN(strided_slice_quant8_9)                                   \
-    FN(strided_slice_relaxed)                                    \
-    FN(sub)                                                      \
-    FN(sub_broadcast_float)                                      \
-    FN(sub_broadcast_float_relaxed)                              \
-    FN(sub_relaxed)                                              \
-    FN(svdf)                                                     \
-    FN(svdf2)                                                    \
-    FN(svdf2_relaxed)                                            \
-    FN(svdf_relaxed)                                             \
-    FN(svdf_state)                                               \
-    FN(svdf_state_relaxed)                                       \
-    FN(tanh)                                                     \
-    FN(tanh_relaxed)                                             \
-    FN(transpose)                                                \
-    FN(transpose_float_1)                                        \
-    FN(transpose_float_1_relaxed)                                \
-    FN(transpose_quant8_1)                                       \
-    FN(transpose_relaxed)
-
-#define FORWARD_DECLARE_GENERATED_OBJECTS(function) \
-    namespace function {                            \
-    extern std::vector<MixedTypedExample> examples; \
-    Model createTestModel();                        \
-    }
-
-FOR_EACH_TEST_MODEL(FORWARD_DECLARE_GENERATED_OBJECTS)
-
-#undef FORWARD_DECLARE_GENERATED_OBJECTS
-
-}  // namespace functional
-}  // namespace vts
-}  // namespace V1_2
-}  // namespace neuralnetworks
-}  // namespace hardware
-}  // namespace android
-
-#endif  // VTS_HAL_NEURALNETWORKS_V1_2_VTS_FUNCTIONAL_MODELS_H
diff --git a/neuralnetworks/1.2/vts/functional/ValidateModel.cpp b/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
index 3096028..c4f1b5e 100644
--- a/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
@@ -161,7 +161,7 @@
         case OperandType::TENSOR_FLOAT32:
         case OperandType::TENSOR_INT32:
         case OperandType::TENSOR_QUANT8_ASYMM:
-        case OperandType::TENSOR_QUANT16_ASYMM:
+        case OperandType::TENSOR_QUANT16_SYMM:
             return 0;
         default:
             return 0;
@@ -193,7 +193,7 @@
         case OperandType::TENSOR_INT32:
             return -1.0f;
         case OperandType::TENSOR_QUANT8_ASYMM:
-        case OperandType::TENSOR_QUANT16_ASYMM:
+        case OperandType::TENSOR_QUANT16_SYMM:
             return 0.0f;
         default:
             return 0.0f;
@@ -224,8 +224,9 @@
         case OperandType::TENSOR_INT32:
             return {1};
         case OperandType::TENSOR_QUANT8_ASYMM:
-        case OperandType::TENSOR_QUANT16_ASYMM:
             return {-1, 256};
+        case OperandType::TENSOR_QUANT16_SYMM:
+            return {-32769, -1, 1, 32768};
         default:
             return {};
     }
@@ -278,7 +279,7 @@
             newOperand.zeroPoint = 0;
             break;
         case OperandType::TENSOR_QUANT8_ASYMM:
-        case OperandType::TENSOR_QUANT16_ASYMM:
+        case OperandType::TENSOR_QUANT16_SYMM:
             newOperand.dimensions =
                 operand->dimensions.size() > 0 ? operand->dimensions : hidl_vec<uint32_t>({1});
             newOperand.scale = operand->scale != 0.0f ? operand->scale : 1.0f;
@@ -291,15 +292,33 @@
     *operand = newOperand;
 }
 
-static bool mutateOperationOperandTypeSkip(size_t operand, const Model& model) {
-    // LSH_PROJECTION's second argument is allowed to have any type. This is the
-    // only operation that currently has a type that can be anything independent
-    // from any other type. Changing the operand type to any other type will
-    // result in a valid model for LSH_PROJECTION. If this is the case, skip the
-    // test.
+static bool mutateOperationOperandTypeSkip(size_t operand, OperandType type, const Model& model) {
+    // Do not test OEM types
+    if (type == model.operands[operand].type || type == OperandType::OEM ||
+        type == OperandType::TENSOR_OEM_BYTE) {
+        return true;
+    }
     for (const Operation& operation : model.operations) {
-        if (operation.type == OperationType::LSH_PROJECTION && operand == operation.inputs[1]) {
-            return true;
+        // Skip mutateOperationOperandTypeTest for the following operations.
+        // - LSH_PROJECTION's second argument is allowed to have any type.
+        // - ARGMIN and ARGMAX's first argument can be any of TENSOR_(FLOAT32|INT32|QUANT8_ASYMM).
+        // - CAST's argument can be any of TENSOR_(FLOAT32|INT32|QUANT8_ASYMM).
+        switch (operation.type) {
+            case OperationType::LSH_PROJECTION: {
+                if (operand == operation.inputs[1]) {
+                    return true;
+                }
+            } break;
+            case OperationType::CAST:
+            case OperationType::ARGMAX:
+            case OperationType::ARGMIN: {
+                if (type == OperandType::TENSOR_FLOAT32 || type == OperandType::TENSOR_INT32 ||
+                    type == OperandType::TENSOR_QUANT8_ASYMM) {
+                    return true;
+                }
+            } break;
+            default:
+                break;
         }
     }
     return false;
@@ -307,14 +326,8 @@
 
 static void mutateOperationOperandTypeTest(const sp<IDevice>& device, const Model& model) {
     for (size_t operand = 0; operand < model.operands.size(); ++operand) {
-        if (mutateOperationOperandTypeSkip(operand, model)) {
-            continue;
-        }
         for (OperandType invalidOperandType : hidl_enum_range<OperandType>{}) {
-            // Do not test OEM types
-            if (invalidOperandType == model.operands[operand].type ||
-                invalidOperandType == OperandType::OEM ||
-                invalidOperandType == OperandType::TENSOR_OEM_BYTE) {
+            if (mutateOperationOperandTypeSkip(operand, invalidOperandType, model)) {
                 continue;
             }
             const std::string message = "mutateOperationOperandTypeTest: operand " +
@@ -406,8 +419,26 @@
     removeValueAndDecrementGreaterValues(&model->outputIndexes, index);
 }
 
+static bool removeOperandSkip(size_t operand, const Model& model) {
+    for (const Operation& operation : model.operations) {
+        // Skip removeOperandTest for the following operations.
+        // - SPLIT's outputs are not checked during prepareModel.
+        if (operation.type == OperationType::SPLIT) {
+            for (const size_t outOprand : operation.outputs) {
+                if (operand == outOprand) {
+                    return true;
+                }
+            }
+        }
+    }
+    return false;
+}
+
 static void removeOperandTest(const sp<IDevice>& device, const Model& model) {
     for (size_t operand = 0; operand < model.operands.size(); ++operand) {
+        if (removeOperandSkip(operand, model)) {
+            continue;
+        }
         const std::string message = "removeOperandTest: operand " + std::to_string(operand);
         validate(device, message, model,
                  [operand](Model* model) { removeOperand(model, operand); });
@@ -433,15 +464,76 @@
 
 ///////////////////////// REMOVE OPERATION INPUT /////////////////////////
 
+static bool removeOperationInputSkip(const Operation& op, size_t input) {
+    // Skip removeOperationInputTest for the following operations.
+    // - CONCATENATION has at least 2 inputs, with the last element being INT32.
+    // - CONV_2D, DEPTHWISE_CONV_2D, MAX_POOL_2D, AVERAGE_POOL_2D, L2_POOL_2D, RESIZE_BILINEAR,
+    //   SPACE_TO_DEPTH, SPACE_TO_DEPTH, SPACE_TO_BATCH_ND, BATCH_TO_SPACE_ND can have an optional
+    //   layout parameter.
+    // - L2_NORMALIZATION, LOCAL_RESPONSE_NORMALIZATION, SOFTMAX can have an optional axis
+    //   parameter.
+    switch (op.type) {
+        case OperationType::CONCATENATION: {
+            if (op.inputs.size() > 2 && input != op.inputs.size() - 1) {
+                return true;
+            }
+        } break;
+        case OperationType::DEPTHWISE_CONV_2D: {
+            if ((op.inputs.size() == 12 && input == 11) || (op.inputs.size() == 9 && input == 8)) {
+                return true;
+            }
+        } break;
+        case OperationType::CONV_2D:
+        case OperationType::AVERAGE_POOL_2D:
+        case OperationType::MAX_POOL_2D:
+        case OperationType::L2_POOL_2D: {
+            if ((op.inputs.size() == 11 && input == 10) || (op.inputs.size() == 8 && input == 7)) {
+                return true;
+            }
+        } break;
+        case OperationType::RESIZE_BILINEAR: {
+            if (op.inputs.size() == 4 && input == 3) {
+                return true;
+            }
+        } break;
+        case OperationType::SPACE_TO_DEPTH:
+        case OperationType::DEPTH_TO_SPACE:
+        case OperationType::BATCH_TO_SPACE_ND: {
+            if (op.inputs.size() == 3 && input == 2) {
+                return true;
+            }
+        } break;
+        case OperationType::SPACE_TO_BATCH_ND: {
+            if (op.inputs.size() == 4 && input == 3) {
+                return true;
+            }
+        } break;
+        case OperationType::L2_NORMALIZATION: {
+            if (op.inputs.size() == 2 && input == 1) {
+                return true;
+            }
+        } break;
+        case OperationType::LOCAL_RESPONSE_NORMALIZATION: {
+            if (op.inputs.size() == 6 && input == 5) {
+                return true;
+            }
+        } break;
+        case OperationType::SOFTMAX: {
+            if (op.inputs.size() == 3 && input == 2) {
+                return true;
+            }
+        } break;
+        default:
+            break;
+    }
+    return false;
+}
+
 static void removeOperationInputTest(const sp<IDevice>& device, const Model& model) {
     for (size_t operation = 0; operation < model.operations.size(); ++operation) {
         for (size_t input = 0; input < model.operations[operation].inputs.size(); ++input) {
             const Operation& op = model.operations[operation];
-            // CONCATENATION has at least 2 inputs, with the last element being
-            // INT32. Skip this test if removing one of CONCATENATION's
-            // inputs still produces a valid model.
-            if (op.type == OperationType::CONCATENATION && op.inputs.size() > 2 &&
-                input != op.inputs.size() - 1) {
+            if (removeOperationInputSkip(op, input)) {
                 continue;
             }
             const std::string message = "removeOperationInputTest: operation " +
@@ -479,8 +571,23 @@
 
 ///////////////////////// ADD OPERATION INPUT /////////////////////////
 
+static bool addOperationInputSkip(const Operation& op) {
+    // Skip addOperationInputTest for the following operations.
+    // - L2_NORMALIZATION, LOCAL_RESPONSE_NORMALIZATION, SOFTMAX can have an optional INT32 axis
+    //   parameter.
+    if ((op.type == OperationType::L2_NORMALIZATION && op.inputs.size() == 1) ||
+        (op.type == OperationType::LOCAL_RESPONSE_NORMALIZATION && op.inputs.size() == 5) ||
+        (op.type == OperationType::SOFTMAX && op.inputs.size() == 2)) {
+        return true;
+    }
+    return false;
+}
+
 static void addOperationInputTest(const sp<IDevice>& device, const Model& model) {
     for (size_t operation = 0; operation < model.operations.size(); ++operation) {
+        if (addOperationInputSkip(model.operations[operation])) {
+            continue;
+        }
         const std::string message = "addOperationInputTest: operation " + std::to_string(operation);
         validate(device, message, model, [operation](Model* model) {
             uint32_t index = addOperand(model, OperandLifeTime::MODEL_INPUT);
diff --git a/neuralnetworks/1.2/vts/functional/ValidationTests.cpp b/neuralnetworks/1.2/vts/functional/ValidationTests.cpp
deleted file mode 100644
index 3bdc5cd..0000000
--- a/neuralnetworks/1.2/vts/functional/ValidationTests.cpp
+++ /dev/null
@@ -1,50 +0,0 @@
-/*
- * Copyright (C) 2018 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#define LOG_TAG "neuralnetworks_hidl_hal_test"
-
-#include "Models.h"
-#include "VtsHalNeuralnetworks.h"
-
-namespace android {
-namespace hardware {
-namespace neuralnetworks {
-namespace V1_2 {
-namespace vts {
-namespace functional {
-
-// forward declarations
-std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
-
-// generate validation tests
-#define VTS_CURRENT_TEST_CASE(TestName)                                           \
-    TEST_F(ValidationTest, TestName) {                                            \
-        const Model model = TestName::createTestModel();                          \
-        const std::vector<Request> requests = createRequests(TestName::examples); \
-        validateModel(model);                                                     \
-        validateRequests(model, requests);                                        \
-    }
-
-FOR_EACH_TEST_MODEL(VTS_CURRENT_TEST_CASE)
-
-#undef VTS_CURRENT_TEST_CASE
-
-}  // namespace functional
-}  // namespace vts
-}  // namespace V1_2
-}  // namespace neuralnetworks
-}  // namespace hardware
-}  // namespace android