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diff --git a/tensorflow/contrib/lite/delegates/flex/kernel_test.cc b/tensorflow/contrib/lite/delegates/flex/kernel_test.cc
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+/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+
+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.
+==============================================================================*/
+#include "tensorflow/contrib/lite/delegates/flex/kernel.h"
+
+#include <gmock/gmock.h>
+#include <gtest/gtest.h>
+#include "tensorflow/contrib/lite/delegates/flex/delegate_data.h"
+#include "tensorflow/contrib/lite/delegates/flex/test_util.h"
+
+namespace tflite {
+namespace flex {
+namespace {
+
+using ::testing::ContainsRegex;
+using ::testing::ElementsAre;
+
+TfLiteStatus GenericPrepare(TfLiteContext* context, TfLiteDelegate* delegate,
+ const std::vector<int>& supported_nodes) {
+ TfLiteIntArray* size_and_nodes =
+ ConvertVectorToTfLiteIntArray(supported_nodes);
+ TF_LITE_ENSURE_STATUS(context->ReplaceSubgraphsWithDelegateKernels(
+ context, flex::GetKernel(), size_and_nodes, delegate));
+ TfLiteIntArrayFree(size_and_nodes);
+ return kTfLiteOk;
+}
+
+class KernelTest : public testing::FlexModelTest {
+ public:
+ KernelTest() {
+ CHECK(DelegateData::Create(&delegate_data_).ok());
+ interpreter_.reset(new Interpreter(&error_reporter_));
+ }
+
+ ~KernelTest() override {
+ // The data needs to be released before the interpreter because the
+ // interpreter references the data.
+ delegate_data_.reset();
+ interpreter_.reset();
+ }
+
+ template <typename T>
+ void ConfigureDelegate(T prepare_function) {
+ delegate_.data_ = delegate_data_.get();
+ delegate_.FreeBufferHandle = nullptr;
+ delegate_.Prepare = prepare_function;
+ delegate_.CopyFromBufferHandle = [](TfLiteContext* context,
+ TfLiteDelegate* delegate,
+ TfLiteBufferHandle buffer_handle,
+ void* data, size_t size) {
+ auto* delegate_data = reinterpret_cast<DelegateData*>(delegate->data_);
+ tensorflow::StringPiece values = delegate_data->GetBufferMap(context)
+ ->GetTensor(buffer_handle)
+ .tensor_data();
+ memcpy(data, values.data(), values.size());
+ return kTfLiteOk;
+ };
+ CHECK(interpreter_->ModifyGraphWithDelegate(
+ &delegate_, /*allow_dynamic_tensors=*/true) == kTfLiteOk);
+ }
+
+ private:
+ std::unique_ptr<DelegateData> delegate_data_;
+ TfLiteDelegate delegate_;
+};
+
+TEST_F(KernelTest, FullGraph) {
+ // Define the graph.
+ AddTensors(9, {0, 3}, {8}, kTfLiteFloat32, {3});
+
+ AddTfOp(testing::kUnpack, {0}, {1, 2});
+ AddTfOp(testing::kUnpack, {3}, {4, 5});
+ AddTfOp(testing::kAdd, {1, 4}, {6});
+ AddTfOp(testing::kAdd, {2, 5}, {7});
+ AddTfOp(testing::kMul, {6, 7}, {8});
+
+ // Apply Delegate.
+ ConfigureDelegate([](TfLiteContext* context, TfLiteDelegate* delegate) {
+ return GenericPrepare(context, delegate, {0, 1, 2, 3, 4});
+ });
+
+ // Define inputs.
+ SetShape(0, {2, 2, 1});
+ SetValues(0, {1.1f, 2.2f, 3.3f, 4.4f});
+ SetShape(3, {2, 2, 1});
+ SetValues(3, {1.1f, 2.2f, 3.3f, 4.4f});
+
+ ASSERT_TRUE(Invoke());
+
+ ASSERT_THAT(GetShape(8), ElementsAre(2, 1));
+ ASSERT_THAT(GetValues(8), ElementsAre(14.52f, 38.72f));
+}
+
+TEST_F(KernelTest, BadTensorFlowOp) {
+ AddTensors(2, {0}, {1}, kTfLiteFloat32, {3});
+ AddTfOp(testing::kNonExistent, {0}, {1});
+
+ ConfigureDelegate([](TfLiteContext* context, TfLiteDelegate* delegate) {
+ return GenericPrepare(context, delegate, {0});
+ });
+
+ SetShape(0, {2, 2, 1});
+ SetValues(0, {1.1f, 2.2f, 3.3f, 4.4f});
+
+ ASSERT_FALSE(Invoke());
+ ASSERT_THAT(error_reporter().error_messages(),
+ ContainsRegex("while processing attributes of 'NonExistentOp'"));
+}
+
+TEST_F(KernelTest, BadNumberOfOutputs) {
+ AddTensors(3, {0}, {1, 2}, kTfLiteFloat32, {3});
+ AddTfOp(testing::kIdentity, {0}, {1, 2});
+
+ ConfigureDelegate([](TfLiteContext* context, TfLiteDelegate* delegate) {
+ return GenericPrepare(context, delegate, {0});
+ });
+
+ SetShape(0, {2, 2, 1});
+ SetValues(0, {1.1f, 2.2f, 3.3f, 4.4f});
+
+ ASSERT_FALSE(Invoke());
+ ASSERT_THAT(error_reporter().error_messages(),
+ ContainsRegex("Unexpected number of outputs"));
+}
+
+TEST_F(KernelTest, IncompatibleNodeDef) {
+ AddTensors(2, {0}, {1}, kTfLiteFloat32, {3});
+
+ // Cast is a TF op, but we don't add the proper nodedef to it in AddTfOp.
+ AddTfOp(testing::kIncompatibleNodeDef, {0}, {1});
+
+ ConfigureDelegate([](TfLiteContext* context, TfLiteDelegate* delegate) {
+ return GenericPrepare(context, delegate, {0});
+ });
+
+ SetShape(0, {2, 2, 1});
+ SetValues(0, {1.1f, 2.2f, 3.3f, 4.4f});
+
+ ASSERT_FALSE(Invoke());
+ ASSERT_THAT(error_reporter().error_messages(),
+ ContainsRegex("while executing 'Cast' via Eager"));
+}
+
+TEST_F(KernelTest, WrongSetOfNodes) {
+ AddTensors(4, {0}, {3}, kTfLiteFloat32, {3});
+ AddTfOp(testing::kUnpack, {0}, {1, 2});
+ AddTfLiteMulOp({1, 2}, {3});
+
+ // Specify that testing::kMul (#1) is supported when it actually isn't.
+ ConfigureDelegate([](TfLiteContext* context, TfLiteDelegate* delegate) {
+ return GenericPrepare(context, delegate, {0, 1});
+ });
+
+ SetShape(0, {2, 2, 1});
+ SetValues(0, {1.1f, 2.2f, 3.3f, 4.4f});
+
+ ASSERT_FALSE(Invoke());
+ ASSERT_THAT(error_reporter().error_messages(),
+ ContainsRegex("Invalid NodeDef in Flex op"));
+}
+
+TEST_F(KernelTest, MixedGraph) {
+ AddTensors(9, {0, 3}, {8}, kTfLiteFloat32, {3});
+
+ AddTfOp(testing::kUnpack, {0}, {1, 2});
+ AddTfOp(testing::kUnpack, {3}, {4, 5});
+ AddTfOp(testing::kAdd, {1, 4}, {6});
+ AddTfOp(testing::kAdd, {2, 5}, {7});
+ AddTfLiteMulOp({6, 7}, {8});
+
+ ConfigureDelegate([](TfLiteContext* context, TfLiteDelegate* delegate) {
+ return GenericPrepare(context, delegate, {0, 1, 2, 3});
+ });
+
+ SetShape(0, {2, 2, 1});
+ SetValues(0, {1.1f, 2.2f, 3.3f, 4.4f});
+ SetShape(3, {2, 2, 1});
+ SetValues(3, {1.1f, 2.2f, 3.3f, 4.4f});
+
+ ASSERT_TRUE(Invoke());
+
+ ASSERT_THAT(GetShape(8), ElementsAre(2, 1));
+ ASSERT_THAT(GetValues(8), ElementsAre(14.52f, 38.72f));
+}
+
+TEST_F(KernelTest, SplitGraph) {
+ AddTensors(10, {0}, {9}, kTfLiteFloat32, {3});
+
+ AddTfOp(testing::kUnpack, {0}, {1, 2});
+ AddTfOp(testing::kAdd, {1, 2}, {3});
+ AddTfOp(testing::kUnpack, {3}, {4, 5});
+
+ AddTfLiteMulOp({4, 5}, {6});
+
+ AddTfOp(testing::kUnpack, {6}, {7, 8});
+ AddTfOp(testing::kAdd, {7, 8}, {9});
+
+ ConfigureDelegate([](TfLiteContext* context, TfLiteDelegate* delegate) {
+ return GenericPrepare(context, delegate, {0, 1, 2, 4, 5});
+ });
+
+ SetShape(0, {2, 2, 2, 1});
+ SetValues(0, {3.0f, 1.0f, 0.5f, -1.0f, 0.0f, 1.0f, 1.5f, 3.0f});
+
+ ASSERT_TRUE(Invoke());
+
+ ASSERT_THAT(GetShape(9), ElementsAre(1));
+ ASSERT_THAT(GetValues(9), ElementsAre(10.0f));
+}
+
+} // namespace
+} // namespace flex
+} // namespace tflite
+
+int main(int argc, char** argv) {
+ ::tflite::LogToStderr();
+ ::testing::InitGoogleTest(&argc, argv);
+ return RUN_ALL_TESTS();
+}