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test_transpose.cc
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// Copyright (c) 2022 PaddlePaddle 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 "fastdeploy/core/fd_tensor.h"
#include "fastdeploy/function/transpose.h"
#include <numeric>
#include <vector>
#include "glog/logging.h"
#include "gtest_utils.h"
#include "gtest/gtest.h"
namespace fastdeploy {
namespace function {
TEST(fastdeploy, transpose_2d) {
FDTensor input, output;
CheckShape check_shape;
CheckData check_data;
std::vector<float> inputs = {2, 4, 3, 7, 1, 5};
std::vector<float> expected_result = {2, 7, 4, 1, 3, 5};
input.SetExternalData({2, 3}, FDDataType::FP32, inputs.data());
Transpose(input, &output, {1, 0});
check_shape(output.shape, {3, 2});
check_data(reinterpret_cast<const float*>(output.Data()),
expected_result.data(), expected_result.size());
Transpose(input, &input, {1, 0});
check_shape(input.shape, {3, 2});
check_data(reinterpret_cast<const float*>(input.Data()),
expected_result.data(), expected_result.size());
}
TEST(fastdeploy, transpose_5d) {
FDTensor input, output;
CheckShape check_shape;
CheckData check_data;
std::vector<int64_t> input_shape = {2, 1, 3, 1, 2};
auto total_size = std::accumulate(input_shape.begin(), input_shape.end(), 1,
std::multiplies<int64_t>());
std::vector<int> inputs(total_size, 1);
std::iota(inputs.begin(), inputs.end(), 1);
std::vector<int> expected_result = {1, 3, 5, 2, 4, 6, 7, 9, 11, 8, 10, 12};
input.SetExternalData(input_shape, FDDataType::INT32, inputs.data());
Transpose(input, &output, {0, 1, 4, 3, 2});
check_shape(output.shape, {2, 1, 2, 1, 3});
check_data(reinterpret_cast<const int*>(output.Data()),
expected_result.data(), expected_result.size());
Transpose(input, &input, {0, 1, 4, 3, 2});
check_shape(input.shape, {2, 1, 2, 1, 3});
check_data(reinterpret_cast<const int*>(input.Data()), expected_result.data(),
expected_result.size());
}
} // namespace function
} // namespace fastdeploy