/* Copyright 2017 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 <vector>
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#include <gmock/gmock.h>
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#include <gtest/gtest.h>
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#include "tensorflow/lite/c/c_api_internal.h"
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#include "tensorflow/lite/util.h"
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namespace tflite {
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namespace {
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TEST(ConvertVectorToTfLiteIntArray, TestWithVector) {
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std::vector<int> input = {1, 2};
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TfLiteIntArray* output = ConvertVectorToTfLiteIntArray(input);
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ASSERT_NE(output, nullptr);
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EXPECT_EQ(output->size, 2);
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EXPECT_EQ(output->data[0], 1);
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EXPECT_EQ(output->data[1], 2);
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TfLiteIntArrayFree(output);
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}
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TEST(ConvertVectorToTfLiteIntArray, TestWithEmptyVector) {
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std::vector<int> input;
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TfLiteIntArray* output = ConvertVectorToTfLiteIntArray(input);
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ASSERT_NE(output, nullptr);
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EXPECT_EQ(output->size, 0);
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TfLiteIntArrayFree(output);
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}
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TEST(UtilTest, IsFlexOp) {
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EXPECT_TRUE(IsFlexOp("Flex"));
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EXPECT_TRUE(IsFlexOp("FlexOp"));
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EXPECT_FALSE(IsFlexOp("flex"));
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EXPECT_FALSE(IsFlexOp("Fle"));
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EXPECT_FALSE(IsFlexOp("OpFlex"));
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EXPECT_FALSE(IsFlexOp(nullptr));
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EXPECT_FALSE(IsFlexOp(""));
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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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::testing::InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
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}
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