127 lines
3.7 KiB
C++
127 lines
3.7 KiB
C++
/* Copyright 2017 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/lite/testing/tflite_driver.h"
|
|
|
|
#include <gmock/gmock.h>
|
|
#include <gtest/gtest.h>
|
|
|
|
namespace tflite {
|
|
namespace testing {
|
|
namespace {
|
|
|
|
using ::testing::ElementsAre;
|
|
|
|
TEST(TfliteDriverTest, SimpleTest) {
|
|
std::unique_ptr<TestRunner> runner(new TfLiteDriver());
|
|
|
|
runner->SetModelBaseDir("tensorflow/lite");
|
|
runner->LoadModel("testdata/multi_add.bin");
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
ASSERT_THAT(runner->GetInputs(), ElementsAre(0, 1, 2, 3));
|
|
ASSERT_THAT(runner->GetOutputs(), ElementsAre(5, 6));
|
|
|
|
for (int i : {0, 1, 2, 3}) {
|
|
runner->ReshapeTensor(i, "1,2,2,1");
|
|
}
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
runner->AllocateTensors();
|
|
|
|
runner->SetInput(0, "0.1,0.2,0.3,0.4");
|
|
runner->SetInput(1, "0.001,0.002,0.003,0.004");
|
|
runner->SetInput(2, "0.001,0.002,0.003,0.004");
|
|
runner->SetInput(3, "0.01,0.02,0.03,0.04");
|
|
|
|
runner->ResetTensor(2);
|
|
|
|
runner->SetExpectation(5, "0.101,0.202,0.303,0.404");
|
|
runner->SetExpectation(6, "0.011,0.022,0.033,0.044");
|
|
|
|
runner->Invoke();
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
ASSERT_TRUE(runner->CheckResults());
|
|
EXPECT_EQ(runner->ReadOutput(5), "0.101,0.202,0.303,0.404");
|
|
EXPECT_EQ(runner->ReadOutput(6), "0.011,0.022,0.033,0.044");
|
|
}
|
|
|
|
TEST(TfliteDriverTest, SingleAddOpTest) {
|
|
std::unique_ptr<TestRunner> runner(new TfLiteDriver(
|
|
/*delegate_type=*/TfLiteDriver::DelegateType::kNone,
|
|
/*reference_kernel=*/true));
|
|
|
|
runner->SetModelBaseDir("tensorflow/lite");
|
|
runner->LoadModel("testdata/multi_add.bin");
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
ASSERT_THAT(runner->GetInputs(), ElementsAre(0, 1, 2, 3));
|
|
ASSERT_THAT(runner->GetOutputs(), ElementsAre(5, 6));
|
|
|
|
for (int i : {0, 1, 2, 3}) {
|
|
runner->ReshapeTensor(i, "1,2,2,1");
|
|
}
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
runner->AllocateTensors();
|
|
|
|
runner->SetInput(0, "0.1,0.2,0.3,0.4");
|
|
runner->SetInput(1, "0.001,0.002,0.003,0.004");
|
|
runner->SetInput(2, "0.001,0.002,0.003,0.004");
|
|
runner->SetInput(3, "0.01,0.02,0.03,0.04");
|
|
|
|
runner->ResetTensor(2);
|
|
|
|
runner->SetExpectation(5, "0.101,0.202,0.303,0.404");
|
|
runner->SetExpectation(6, "0.011,0.022,0.033,0.044");
|
|
|
|
runner->Invoke();
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
ASSERT_TRUE(runner->CheckResults());
|
|
EXPECT_EQ(runner->ReadOutput(5), "0.101,0.202,0.303,0.404");
|
|
EXPECT_EQ(runner->ReadOutput(6), "0.011,0.022,0.033,0.044");
|
|
}
|
|
|
|
TEST(TfliteDriverTest, AddQuantizedInt8Test) {
|
|
std::unique_ptr<TestRunner> runner(new TfLiteDriver());
|
|
|
|
runner->SetModelBaseDir("tensorflow/lite");
|
|
runner->LoadModel("testdata/add_quantized_int8.bin");
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
ASSERT_THAT(runner->GetInputs(), ElementsAre(1));
|
|
ASSERT_THAT(runner->GetOutputs(), ElementsAre(2));
|
|
|
|
runner->ReshapeTensor(1, "1,2,2,1");
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
runner->AllocateTensors();
|
|
|
|
runner->SetInput(1, "1,1,1,1");
|
|
|
|
runner->SetExpectation(2, "0.0117,0.0117,0.0117,0.0117");
|
|
|
|
runner->Invoke();
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
ASSERT_TRUE(runner->CheckResults());
|
|
EXPECT_EQ(runner->ReadOutput(2), "3,3,3,3");
|
|
}
|
|
|
|
} // namespace
|
|
} // namespace testing
|
|
} // namespace tflite
|