/*
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* Copyright (C) 2018 The Android Open Source Project
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*
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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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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 "utils/tensor-view.h"
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#include "gmock/gmock.h"
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#include "gtest/gtest.h"
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namespace libtextclassifier3 {
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namespace {
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TEST(TensorViewTest, TestSize) {
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std::vector<float> data{0.1, 0.2, 0.3, 0.4, 0.5, 0.6};
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const TensorView<float> tensor(data.data(), {3, 1, 2});
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EXPECT_TRUE(tensor.is_valid());
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EXPECT_EQ(tensor.shape(), (std::vector<int>{3, 1, 2}));
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EXPECT_EQ(tensor.data(), data.data());
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EXPECT_EQ(tensor.size(), 6);
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EXPECT_EQ(tensor.dims(), 3);
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EXPECT_EQ(tensor.dim(0), 3);
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EXPECT_EQ(tensor.dim(1), 1);
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EXPECT_EQ(tensor.dim(2), 2);
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std::vector<float> output_data(6);
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EXPECT_TRUE(tensor.copy_to(output_data.data(), output_data.size()));
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EXPECT_EQ(data, output_data);
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// Should not copy when the output is small.
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std::vector<float> small_output_data{-1, -1, -1};
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EXPECT_FALSE(
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tensor.copy_to(small_output_data.data(), small_output_data.size()));
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// The output buffer should not be changed.
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EXPECT_EQ(small_output_data, (std::vector<float>{-1, -1, -1}));
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const TensorView<float> invalid_tensor = TensorView<float>::Invalid();
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EXPECT_FALSE(invalid_tensor.is_valid());
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}
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} // namespace
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} // namespace libtextclassifier3
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