diff --git a/neuralnetworks/1.0/vts/functional/Android.bp b/neuralnetworks/1.0/vts/functional/Android.bp
index 1b5e338..234527a 100644
--- a/neuralnetworks/1.0/vts/functional/Android.bp
+++ b/neuralnetworks/1.0/vts/functional/Android.bp
@@ -80,6 +80,5 @@
     srcs: [
         "BasicTests.cpp",
         "GeneratedTests.cpp",
-        "ValidationTests.cpp",
     ],
 }
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