* Copyright (c) 2025 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
#include <vector>
#include <array>
#include "gtest/gtest.h"
#include "../../../op_api/aclnn_log1p.h"
#include "op_api_ut_common/tensor_desc.h"
#include "op_api_ut_common/scalar_desc.h"
#include "op_api_ut_common/op_api_ut.h"
using namespace op;
using namespace std;
class l2_log1p_test : public testing::Test {
protected:
static void SetUpTestCase()
{
std::cout << "Log1p Test Setup" << std::endl;
}
static void TearDownTestCase()
{
std::cout << "Log1p Test TearDown" << std::endl;
}
};
TEST_F(l2_log1p_test, case_support_dtype_int)
{
vector<aclDataType> ValidList = {ACL_UINT8, ACL_INT8, ACL_INT16, ACL_INT32, ACL_INT64, ACL_BOOL};
int length = ValidList.size();
for (int i = 0; i < length; i++) {
auto tensor_desc = TensorDesc({1, 1, 3}, ValidList[i], ACL_FORMAT_ND).ValueRange(0, 2);
auto out_tensor_desc = TensorDesc({1, 1, 3}, ACL_FLOAT, ACL_FORMAT_ND).Precision(0.1, 0.1);
auto ut = OP_API_UT(aclnnLog1p, INPUT(tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
}
TEST_F(l2_log1p_test, case_invalid_dtype_self_int32_out_int32)
{
auto tensor_desc = TensorDesc({1, 16}, ACL_INT32, ACL_FORMAT_ND).ValueRange(0, 2);
auto out_tensor_desc = TensorDesc({1, 16}, ACL_INT32, ACL_FORMAT_ND).Precision(0.01, 0.01);
auto ut = OP_API_UT(aclnnLog1p, INPUT(tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_log1p_test, case_invalid_dtype_self_complex64_out_complex64)
{
auto tensor_desc = TensorDesc({1, 16}, ACL_COMPLEX64, ACL_FORMAT_ND).ValueRange(0, 2);
auto out_tensor_desc = TensorDesc(tensor_desc);
auto ut = OP_API_UT(aclnnLog1p, INPUT(tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_log1p_test, case_shape1D)
{
auto tensor_desc = TensorDesc({3}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(0, 2);
auto out_tensor_desc = TensorDesc(tensor_desc).Precision(0.01, 0.01);
auto ut = OP_API_UT(aclnnLog1p, INPUT(tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_log1p_test, case_shape_2D)
{
auto tensor_desc = TensorDesc({3, 3}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(0, 2);
auto out_tensor_desc = TensorDesc(tensor_desc).Precision(0.01, 0.01);
auto ut = OP_API_UT(aclnnLog1p, INPUT(tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_log1p_test, case_shape_3D)
{
auto tensor_desc = TensorDesc({3, 3, 3}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(0, 2);
auto out_tensor_desc = TensorDesc(tensor_desc).Precision(0.01, 0.01);
auto ut = OP_API_UT(aclnnLog1p, INPUT(tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_log1p_test, case_shape_4D)
{
auto tensor_desc = TensorDesc({3, 3, 3, 3}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(0, 2);
auto out_tensor_desc = TensorDesc(tensor_desc).Precision(0.01, 0.01);
auto ut = OP_API_UT(aclnnLog1p, INPUT(tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_log1p_test, case_shape_5D)
{
auto tensor_desc = TensorDesc({3, 3, 3, 3, 3}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(0, 2);
auto out_tensor_desc = TensorDesc(tensor_desc).Precision(0.01, 0.01);
auto ut = OP_API_UT(aclnnLog1p, INPUT(tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_log1p_test, case_shape_8D)
{
auto tensor_desc = TensorDesc({3, 3, 3, 3, 3, 3, 3, 3}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(0, 2);
auto out_tensor_desc = TensorDesc(tensor_desc).Precision(0.01, 0.01);
auto ut = OP_API_UT(aclnnLog1p, INPUT(tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_log1p_test, case_invalid_shape_9D)
{
auto tensor_desc = TensorDesc({3, 3, 3, 3, 3, 3, 3, 3, 3}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(0, 2);
auto out_tensor_desc = TensorDesc(tensor_desc).Precision(0.01, 0.01);
auto ut = OP_API_UT(aclnnLog1p, INPUT(tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_log1p_test, case_null_self)
{
auto out_tensor_desc = TensorDesc({1, 16, 1, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnLog1p, INPUT(nullptr), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_NULLPTR);
}
TEST_F(l2_log1p_test, case_null_out)
{
auto tensor_desc = TensorDesc({1, 16, 1, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnLog1p, INPUT(tensor_desc), OUTPUT(nullptr));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_NULLPTR);
}
TEST_F(l2_log1p_test, case_empty_tensor_1)
{
auto self_tensor_desc = TensorDesc({1, 0, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto out_tensor_desc = TensorDesc(self_tensor_desc);
auto ut = OP_API_UT(aclnnLog1p, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_SUCCESS);
}
TEST_F(l2_log1p_test, case_empty_tensor_2)
{
auto self_tensor_desc = TensorDesc({1, 3, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto out_tensor_desc = TensorDesc({1, 0, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnLog1p, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_log1p_test, case_empty_tensor_3)
{
auto self_tensor_desc = TensorDesc({1, 0, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto out_tensor_desc = TensorDesc({1, 3, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnLog1p, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_log1p_test, case_empty_tensor_4)
{
auto self_tensor_desc = TensorDesc({1, 0, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto out_tensor_desc = TensorDesc({1, 0, 1}, ACL_DOUBLE, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnLog1p, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_SUCCESS);
}
TEST_F(l2_log1p_test, case_format_1)
{
auto self_desc = TensorDesc({1, 16, 1, 1}, ACL_FLOAT, ACL_FORMAT_NHWC);
auto out_desc = TensorDesc({1, 16, 1, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnLog1p, INPUT(self_desc), OUTPUT(out_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_log1p_test, case_format_2)
{
auto self_desc = TensorDesc({1, 16, 1, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto out_desc = TensorDesc({1, 16, 1, 1}, ACL_FLOAT, ACL_FORMAT_NHWC);
auto ut = OP_API_UT(aclnnLog1p, INPUT(self_desc), OUTPUT(out_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_log1p_test, case_invalide_shape_1)
{
auto self_desc = TensorDesc({1, 16, 1, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto out_desc = TensorDesc({1, 1, 4, 4}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnLog1p, INPUT(self_desc), OUTPUT(out_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_log1p_test, case_invalide_shape_2)
{
auto self_desc = TensorDesc({1, 16, 1, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto out_desc = TensorDesc({16, 1, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnLog1p, INPUT(self_desc), OUTPUT(out_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_log1p_test, ascend910B2_case_shape_4D)
{
auto tensor_desc = TensorDesc({3, 3, 3, 3}, ACL_BF16, ACL_FORMAT_ND).ValueRange(0, 2);
auto out_tensor_desc = TensorDesc(tensor_desc).Precision(0.01, 0.01);
auto ut = OP_API_UT(aclnnLog1p, INPUT(tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}