wehub-resource-sync
141 lines
4.3 KiB
C++
141 lines
4.3 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 <memory>
|
|
|
|
#include <gmock/gmock.h>
|
|
#include <gtest/gtest.h>
|
|
#include "tensorflow/lite/testing/test_runner.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", "serving_default");
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
ASSERT_THAT(runner->GetOutputNames(), ElementsAre("x", "y"));
|
|
|
|
for (const auto& i : {"a", "b", "c", "d"}) {
|
|
runner->ReshapeTensor(i, "1,2,2,1");
|
|
}
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
runner->AllocateTensors();
|
|
|
|
runner->ResetTensor("c");
|
|
runner->Invoke({{"a", "0.1,0.2,0.3,0.4"},
|
|
{"b", "0.001,0.002,0.003,0.004"},
|
|
{"d", "0.01,0.02,0.03,0.04"}});
|
|
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
ASSERT_EQ(runner->ReadOutput("x"), "0.101,0.202,0.303,0.404");
|
|
ASSERT_EQ(runner->ReadOutput("y"), "0.011,0.022,0.033,0.044");
|
|
|
|
ASSERT_TRUE(runner->CheckResults(
|
|
{{"x", "0.101,0.202,0.303,0.404"}, {"y", "0.011,0.022,0.033,0.044"}},
|
|
/*expected_output_shapes=*/{}));
|
|
}
|
|
|
|
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());
|
|
|
|
for (const auto& i : {"a", "b", "c", "d"}) {
|
|
runner->ReshapeTensor(i, "1,2,2,1");
|
|
}
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
runner->AllocateTensors();
|
|
|
|
runner->ResetTensor("c");
|
|
runner->Invoke({{"a", "0.1,0.2,0.3,0.4"},
|
|
{"b", "0.001,0.002,0.003,0.004"},
|
|
{"d", "0.01,0.02,0.03,0.04"}});
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
ASSERT_TRUE(runner->CheckResults(
|
|
{{"x", "0.101,0.202,0.303,0.404"}, {"y", "0.011,0.022,0.033,0.044"}},
|
|
/*expected_output_shapes=*/{}));
|
|
EXPECT_EQ(runner->ReadOutput("x"), "0.101,0.202,0.303,0.404");
|
|
EXPECT_EQ(runner->ReadOutput("y"), "0.011,0.022,0.033,0.044");
|
|
}
|
|
|
|
TEST(TfliteDriverTest, AddOpWithNaNTest) {
|
|
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());
|
|
|
|
for (const auto& i : {"a", "b", "c", "d"}) {
|
|
runner->ReshapeTensor(i, "1,2,2,1");
|
|
}
|
|
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
runner->AllocateTensors();
|
|
|
|
runner->ResetTensor("c");
|
|
runner->Invoke({{"a", "0.1,nan,0.3,0.4"},
|
|
{"b", "0.001,0.002,0.003,0.004"},
|
|
{"d", "0.01,0.02,0.03,nan"}});
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
ASSERT_TRUE(runner->CheckResults(
|
|
{{"x", "0.101,nan,0.303,0.404"}, {"y", "0.011,0.022,0.033,nan"}},
|
|
/*expected_output_shapes=*/{}));
|
|
EXPECT_EQ(runner->ReadOutput("x"), "0.101,nan,0.303,0.404");
|
|
EXPECT_EQ(runner->ReadOutput("y"), "0.011,0.022,0.033,nan");
|
|
}
|
|
|
|
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());
|
|
|
|
runner->ReshapeTensor("a", "1,2,2,1");
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
runner->AllocateTensors();
|
|
|
|
runner->Invoke({{"a", "1,1,1,1"}});
|
|
ASSERT_TRUE(runner->IsValid());
|
|
|
|
ASSERT_TRUE(runner->CheckResults({{"x", "0.0117,0.0117,0.0117,0.0117"}}, {}));
|
|
EXPECT_EQ(runner->ReadOutput("x"), "3,3,3,3");
|
|
}
|
|
|
|
} // namespace
|
|
} // namespace testing
|
|
} // namespace tflite
|