90 lines
3.5 KiB
C++
90 lines
3.5 KiB
C++
/* 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 <stdint.h>
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#include <memory>
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#include <vector>
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#include <gtest/gtest.h>
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#include "tensorflow/lite/interpreter.h"
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#include "tensorflow/lite/kernels/subgraph_test_util.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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class WhileTest : public ControlFlowOpTest {};
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// The test builds a model that produces the i-th number of
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// triangular number sequence.
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//
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// TODO(ycling): Consider to improve this test case by adding a
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// concat into the body subgraph.
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TEST_F(WhileTest, TestTriangularNumberSequence) {
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const std::vector<int> expected = {1, 3, 6, 10, 15, 21, 28};
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for (int i = 0; i < expected.size(); ++i) {
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interpreter_.reset(new Interpreter);
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interpreter_->AddSubgraphs(2);
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builder_->BuildLessEqualCondSubgraph(interpreter_->subgraph(1), i);
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builder_->BuildAccumulateLoopBodySubgraph(interpreter_->subgraph(2));
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builder_->BuildWhileSubgraph(&interpreter_->primary_subgraph());
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interpreter_->ResizeInputTensor(interpreter_->inputs()[0], {1});
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interpreter_->ResizeInputTensor(interpreter_->inputs()[1], {1});
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ASSERT_EQ(interpreter_->AllocateTensors(), kTfLiteOk);
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FillIntTensor(interpreter_->tensor(interpreter_->inputs()[0]), {1});
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FillIntTensor(interpreter_->tensor(interpreter_->inputs()[1]), {1});
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ASSERT_EQ(interpreter_->Invoke(), kTfLiteOk);
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TfLiteTensor* output1 = interpreter_->tensor(interpreter_->outputs()[0]);
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CheckIntTensor(output1, {1}, {i + 1});
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TfLiteTensor* output2 = interpreter_->tensor(interpreter_->outputs()[1]);
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CheckIntTensor(output2, {1}, {expected[i]});
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}
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}
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TEST_F(WhileTest, TestPadLoop) {
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interpreter_.reset(new Interpreter);
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interpreter_->AddSubgraphs(2);
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builder_->BuildLessEqualCondSubgraph(interpreter_->subgraph(1), 3);
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builder_->BuildPadLoopBodySubgraph(interpreter_->subgraph(2), {1, 2});
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builder_->BuildWhileSubgraph(&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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ASSERT_EQ(interpreter_->AllocateTensors(), kTfLiteOk);
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FillIntTensor(interpreter_->tensor(interpreter_->inputs()[0]), {1});
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FillIntTensor(interpreter_->tensor(interpreter_->inputs()[1]), {5, 7});
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ASSERT_EQ(interpreter_->Invoke(), kTfLiteOk);
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TfLiteTensor* output1 = interpreter_->tensor(interpreter_->outputs()[0]);
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CheckIntTensor(output1, {1}, {4});
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TfLiteTensor* output2 = interpreter_->tensor(interpreter_->outputs()[1]);
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CheckIntTensor(output2, {11}, {0, 0, 0, 5, 7, 0, 0, 0, 0, 0, 0});
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// The extra invocation serves as a regression test: There was a bug that
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// invoking a while loop with dynamic shaped body makes the interpreter
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// state uninvokable.
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ASSERT_EQ(interpreter_->Invoke(), kTfLiteOk);
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}
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} // namespace
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} // namespace tflite
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