blob: d50fac751048b84a550916526c7d201cafd4e346 [file] [log] [blame]
/*
* Copyright (C) 2017 The Android Open Source Project
*
* 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 "tensor-view.h"
#include "gmock/gmock.h"
#include "gtest/gtest.h"
namespace libtextclassifier2 {
namespace {
TEST(TensorViewTest, TestSize) {
std::vector<float> data{0.1, 0.2, 0.3, 0.4, 0.5, 0.6};
const TensorView<float> tensor(data.data(), {3, 1, 2});
EXPECT_TRUE(tensor.is_valid());
EXPECT_EQ(tensor.shape(), (std::vector<int>{3, 1, 2}));
EXPECT_EQ(tensor.data(), data.data());
EXPECT_EQ(tensor.size(), 6);
EXPECT_EQ(tensor.dims(), 3);
EXPECT_EQ(tensor.dim(0), 3);
EXPECT_EQ(tensor.dim(1), 1);
EXPECT_EQ(tensor.dim(2), 2);
std::vector<float> output_data(6);
EXPECT_TRUE(tensor.copy_to(output_data.data(), output_data.size()));
EXPECT_EQ(data, output_data);
// Should not copy when the output is small.
std::vector<float> small_output_data{-1, -1, -1};
EXPECT_FALSE(
tensor.copy_to(small_output_data.data(), small_output_data.size()));
// The output buffer should not be changed.
EXPECT_EQ(small_output_data, (std::vector<float>{-1, -1, -1}));
const TensorView<float> invalid_tensor = TensorView<float>::Invalid();
EXPECT_FALSE(invalid_tensor.is_valid());
}
} // namespace
} // namespace libtextclassifier2