mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-31 20:02:53 +08:00
129dda7809
* Add sort function * Add isfinite function * upgrade isinf isnan * Add Scalar to FDTensor * Add floor, ceil function * add cast functions * Update out_tmp * Update quantile * add gather scatter along axis * finish quantile function * Add quantile unittest * refresh code style for test source code * Add comments * Add full function * Add scalar to fd tensor * Add full unittest * Add functions headers * move fdtensor operators to fastdeploy namespace
116 lines
4.5 KiB
C++
116 lines
4.5 KiB
C++
// 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/math.h"
|
|
#include "glog/logging.h"
|
|
#include "gtest_utils.h"
|
|
#include "gtest/gtest.h"
|
|
#include <array>
|
|
#include <vector>
|
|
|
|
namespace fastdeploy {
|
|
namespace function {
|
|
|
|
std::vector<float> CreateTestData() {
|
|
// Shape: [2, 3, 4]
|
|
std::vector<float> x_data = {
|
|
0.8428625, 0.6461913, 0.13740455, 0.11430702, 0.659926, 0.535816,
|
|
0.7429162, 0.8456049, 0.21228176, 0.29970083, 0.8621713, 0.40894133,
|
|
0.12684688, 0.1566195, 0.42884097, 0.8476526, 0.2458633, 0.669046,
|
|
0.87888306, 0.6762589, 0.666453, 0.32523027, 0.4139388, 0.8341406};
|
|
return x_data;
|
|
}
|
|
|
|
TEST(fastdeploy, exp_sqrt_round_log) {
|
|
CheckShape check_shape;
|
|
CheckData check_data;
|
|
FDTensor x, y;
|
|
auto test_data = CreateTestData();
|
|
x.SetExternalData({2, 3, 4}, FDDataType::FP32, test_data.data());
|
|
|
|
// Test Sqrt function
|
|
Sqrt(x, &y);
|
|
std::vector<float> sqrt_result = {
|
|
0.918075, 0.80386, 0.370681, 0.338093, 0.812358, 0.731995,
|
|
0.861926, 0.919568, 0.46074, 0.547449, 0.928532, 0.639485,
|
|
0.356156, 0.395752, 0.654859, 0.920681, 0.495846, 0.817952,
|
|
0.937488, 0.82235, 0.816366, 0.57029, 0.643381, 0.913313};
|
|
check_shape(y.shape, {2, 3, 4});
|
|
check_data(reinterpret_cast<const float*>(y.Data()), sqrt_result.data(),
|
|
sqrt_result.size());
|
|
|
|
// Test Exp function
|
|
Exp(x, &y);
|
|
std::vector<float> exp_result = {
|
|
2.323007, 1.908259, 1.147292, 1.121096, 1.934649, 1.708842,
|
|
2.102057, 2.329386, 1.236496, 1.349455, 2.368297, 1.505223,
|
|
1.135243, 1.169551, 1.535477, 2.334161, 1.278725, 1.952374,
|
|
2.408208, 1.966507, 1.947318, 1.384349, 1.512764, 2.302834};
|
|
check_shape(y.shape, {2, 3, 4});
|
|
check_data(reinterpret_cast<const float*>(y.Data()), exp_result.data(),
|
|
exp_result.size());
|
|
|
|
// Test Round function
|
|
Round(x, &y);
|
|
std::vector<float> round_result = {1.0, 1.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0,
|
|
0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0,
|
|
0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0};
|
|
check_shape(y.shape, {2, 3, 4});
|
|
check_data(reinterpret_cast<const float*>(y.Data()), round_result.data(),
|
|
round_result.size());
|
|
|
|
Ceil(x, &y);
|
|
std::vector<float> ceil_result = {1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
|
|
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
|
|
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0};
|
|
check_shape(y.shape, {2, 3, 4});
|
|
check_data(reinterpret_cast<const float*>(y.Data()), ceil_result.data(),
|
|
ceil_result.size());
|
|
|
|
Floor(x, &y);
|
|
std::vector<float> floor_result = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
|
|
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
|
|
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0};
|
|
check_shape(y.shape, {2, 3, 4});
|
|
check_data(reinterpret_cast<const float*>(y.Data()), floor_result.data(),
|
|
floor_result.size());
|
|
|
|
// Test Log function
|
|
Log(x, &y);
|
|
std::vector<float> log_result = {
|
|
-0.170951, -0.43666, -1.984826, -2.168867, -0.415628, -0.623964,
|
|
-0.297172, -0.167703, -1.549841, -1.204971, -0.148301, -0.894184,
|
|
-2.064775, -1.853936, -0.846669, -0.165284, -1.40298, -0.401902,
|
|
-0.129103, -0.391179, -0.405786, -1.123222, -0.882037, -0.181353};
|
|
check_shape(y.shape, {2, 3, 4});
|
|
check_data(reinterpret_cast<const float*>(y.Data()), log_result.data(),
|
|
log_result.size());
|
|
}
|
|
|
|
TEST(fastdeploy, abs) {
|
|
CheckShape check_shape;
|
|
CheckData check_data;
|
|
FDTensor x, y;
|
|
std::vector<float> test_data = {-1, 2, 3, -5, -4, -6};
|
|
x.SetExternalData({2, 3}, FDDataType::FP32, test_data.data());
|
|
std::vector<float> result = {1, 2, 3, 5, 4, 6};
|
|
Abs(x, &y);
|
|
check_shape(y.shape, {2, 3});
|
|
check_data(reinterpret_cast<const float*>(y.Data()), result.data(),
|
|
result.size());
|
|
}
|
|
|
|
} // namespace function
|
|
} // namespace fastdeploy
|