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Add var test #30

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86e1387
add var tests
Le-soleile Jan 20, 2026
c605bc0
Merge github.com:Le-soleile/PaddleCppAPITest into var
Le-soleile Feb 2, 2026
64d2cb3
add var test
Le-soleile Feb 2, 2026
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74 changes: 74 additions & 0 deletions test/TensorTest.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -2,10 +2,23 @@
#include <ATen/core/Tensor.h>
#include <ATen/ops/ones.h>
#include <gtest/gtest.h>
#if !USE_PADDLE_API
#include <torch/all.h>
#endif

#include <string>
#include <vector>
#if USE_PADDLE_API
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@BingooYang BingooYang Feb 5, 2026

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compat api的目的就是和torch头文件完全兼容，这里不需要增加额外的宏

#include "paddle/phi/api/include/tensor.h"
#include "paddle/phi/common/place.h"
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/memory/malloc.h"
namespace phi {
inline std::ostream& operator<<(std::ostream& os, AllocationType type) {
return os << static_cast<int>(type);
}
} // namespace phi
#endif

#include "../src/file_manager.h"

Expand Down Expand Up @@ -213,5 +226,66 @@ TEST_F(TensorTest, Transpose) {
file.saveFile();
}

// 测试 var(bool unbiased)
TEST_F(TensorTest, VarUnbiased) {
auto file_name = g_custom_param.get();
FileManerger file(file_name);
file.createFile();
std::vector<int64_t> shape = {2, 3};
at::Tensor test_tensor = at::ones(shape, at::kFloat);
test_tensor.data_ptr<float>()[0] = 1.0f;
test_tensor.data_ptr<float>()[1] = 2.0f;
test_tensor.data_ptr<float>()[2] = 3.0f;
test_tensor.data_ptr<float>()[3] = 4.0f;
test_tensor.data_ptr<float>()[4] = 5.0f;
test_tensor.data_ptr<float>()[5] = 6.0f;
at::Tensor var_result = test_tensor.var(true);
file << std::to_string(var_result.dim()) << " ";
file << std::to_string(var_result.data_ptr<float>()[0]) << " ";
at::Tensor var_result_biased = test_tensor.var(false);
file << std::to_string(var_result_biased.dim()) << " ";
file << std::to_string(var_result_biased.data_ptr<float>()[0]) << " ";
file.saveFile();
}

// 测试 var(OptionalIntArrayRef dim, bool unbiased, bool keepdim)
TEST_F(TensorTest, VarDim) {
auto file_name = g_custom_param.get();
FileManerger file(file_name);
file.createFile();
std::vector<int64_t> shape = {2, 3};
at::Tensor test_tensor = at::ones(shape, at::kFloat);
for (int i = 0; i < 6; ++i) {
test_tensor.data_ptr<float>()[i] = static_cast<float>(i + 1);
}
at::Tensor var_result = test_tensor.var({0}, true, false);
file << std::to_string(var_result.dim()) << " ";
file << std::to_string(var_result.size(0)) << " ";
at::Tensor var_result_keepdim = test_tensor.var({1}, true, true);
file << std::to_string(var_result_keepdim.dim()) << " ";
file << std::to_string(var_result_keepdim.size(0)) << " ";
file << std::to_string(var_result_keepdim.size(1)) << " ";
file.saveFile();
}

// 测试 var(OptionalIntArrayRef dim, optional<Scalar> correction, bool keepdim)
TEST_F(TensorTest, VarCorrection) {
auto file_name = g_custom_param.get();
FileManerger file(file_name);
file.createFile();
std::vector<int64_t> shape = {2, 3};
at::Tensor test_tensor = at::ones(shape, at::kFloat);
for (int i = 0; i < 6; ++i) {
test_tensor.data_ptr<float>()[i] = static_cast<float>(i + 1);
}
at::Tensor var_result = test_tensor.var({0}, at::Scalar(1.0), false);
file << std::to_string(var_result.dim()) << " ";
file << std::to_string(var_result.size(0)) << " ";
at::Tensor var_result_pop = test_tensor.var({0}, at::Scalar(0.0), false);
file << std::to_string(var_result_pop.dim()) << " ";
file << std::to_string(var_result_pop.size(0)) << " ";
file.saveFile();
}

} // namespace test
} // namespace at