/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <gtest/gtest.h>
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#include "flatbuffers/flexbuffers.h" // TF:flatbuffers
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#include "tensorflow/lite/interpreter.h"
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#include "tensorflow/lite/kernels/kernel_util.h"
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#include "tensorflow/lite/kernels/register.h"
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#include "tensorflow/lite/kernels/subgraph_test_util.h"
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#include "tensorflow/lite/kernels/test_util.h"
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#include "tensorflow/lite/model.h"
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namespace tflite {
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using subgraph_test_util::CheckIntTensor;
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using subgraph_test_util::ControlFlowOpTest;
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using subgraph_test_util::FillIntTensor;
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namespace {
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// A simple test that performs `ADD` if condition is true, and `MUL` otherwise.
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// The computation is: `cond ? a + b : a * b`.
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class SimpleIfTest : public ControlFlowOpTest {
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protected:
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void SetUp() override {
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interpreter_->AddSubgraphs(2);
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builder_->BuildAddSubgraph(interpreter_->subgraph(1));
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builder_->BuildMulSubgraph(interpreter_->subgraph(2));
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builder_->BuildIfSubgraph(&interpreter_->primary_subgraph());
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interpreter_->ResizeInputTensor(interpreter_->inputs()[0], {1});
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interpreter_->ResizeInputTensor(interpreter_->inputs()[1], {2});
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interpreter_->ResizeInputTensor(interpreter_->inputs()[2], {1, 2});
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ASSERT_EQ(interpreter_->AllocateTensors(), kTfLiteOk);
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FillIntTensor(interpreter_->tensor(interpreter_->inputs()[1]), {5, 7});
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FillIntTensor(interpreter_->tensor(interpreter_->inputs()[2]), {1, 2});
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}
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};
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TEST_F(SimpleIfTest, TestIfTrue) {
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interpreter_->typed_input_tensor<bool>(0)[0] = true;
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ASSERT_EQ(interpreter_->Invoke(), kTfLiteOk);
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TfLiteTensor* output = interpreter_->tensor(interpreter_->outputs()[0]);
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CheckIntTensor(output, {1, 2}, {6, 9});
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}
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TEST_F(SimpleIfTest, TestIfFalse) {
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interpreter_->typed_input_tensor<bool>(0)[0] = false;
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ASSERT_EQ(interpreter_->Invoke(), kTfLiteOk);
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TfLiteTensor* output = interpreter_->tensor(interpreter_->outputs()[0]);
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CheckIntTensor(output, {1, 2}, {5, 14});
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}
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// Test IF op using subgraphs with dynamically sized outputs.
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// The computation is: `cond ? a + b : pad(a, b)`.
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class DynamicSubgraphIfTest : public ControlFlowOpTest {
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protected:
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void SetUp() override {
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interpreter_->AddSubgraphs(2);
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builder_->BuildAddSubgraph(interpreter_->subgraph(1));
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builder_->BuildPadSubgraph(interpreter_->subgraph(2));
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builder_->BuildIfSubgraph(&interpreter_->primary_subgraph());
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interpreter_->ResizeInputTensor(interpreter_->inputs()[0], {1});
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interpreter_->ResizeInputTensor(interpreter_->inputs()[1], {2});
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interpreter_->ResizeInputTensor(interpreter_->inputs()[2], {1, 2});
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ASSERT_EQ(interpreter_->AllocateTensors(), kTfLiteOk);
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FillIntTensor(interpreter_->tensor(interpreter_->inputs()[1]), {5, 7});
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FillIntTensor(interpreter_->tensor(interpreter_->inputs()[2]), {1, 2});
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}
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};
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TEST_F(DynamicSubgraphIfTest, TestIfTrue) {
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interpreter_->typed_input_tensor<bool>(0)[0] = true;
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ASSERT_EQ(interpreter_->Invoke(), kTfLiteOk);
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TfLiteTensor* output = interpreter_->tensor(interpreter_->outputs()[0]);
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// Even if the true branch has a static type output, the output of the
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// if op is dynamic because the other branch has dynamic output.
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EXPECT_TRUE(IsDynamicTensor(output));
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CheckIntTensor(output, {1, 2}, {6, 9});
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}
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TEST_F(DynamicSubgraphIfTest, TestIfFalse) {
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interpreter_->typed_input_tensor<bool>(0)[0] = false;
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ASSERT_EQ(interpreter_->Invoke(), kTfLiteOk);
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TfLiteTensor* output = interpreter_->tensor(interpreter_->outputs()[0]);
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// The false branch has dynamic output.
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EXPECT_TRUE(IsDynamicTensor(output));
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CheckIntTensor(output, {5}, {0, 5, 7, 0, 0});
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}
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} // namespace
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} // namespace tflite
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int main(int argc, char** argv) {
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::tflite::LogToStderr();
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::testing::InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
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}
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