* 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 "math/square/op_api/aclnn_square.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"
#include "op_api_ut_common/inner/types.h"
#include "opdev/platform.h"
using namespace std;
class l2_square_test : public testing::Test {
protected:
static void SetUpTestCase()
{
op::SetPlatformSocVersion(op::SocVersion::ASCEND950);
cout << "l2_square_test SetUp" << endl;
}
static void TearDownTestCase()
{
cout << "l2_square_test TearDown" << endl;
}
};
TEST_F(l2_square_test, ascend950_case_nullptr)
{
auto self = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto out = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(nullptr), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_NULLPTR);
auto ut1 = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(nullptr));
aclRet = ut1.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_NULLPTR);
}
TEST_F(l2_square_test, ascend950_case_dtype_invalid_0)
{
auto self = TensorDesc({2, 2}, ACL_INT8, ACL_FORMAT_ND);
auto out = TensorDesc({2, 2}, ACL_INT8, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_square_test, ascend950_case_dtype_invalid_1)
{
auto self = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto out = TensorDesc({2, 2}, ACL_FLOAT16, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_square_test, ascend950_case_format_invalid_0)
{
auto self = TensorDesc({1, 2, 1, 2, 1, 2, 1, 2, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto out = TensorDesc({1, 2, 1, 2, 1, 2, 1, 2, 1}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_square_test, ascend950_case_format_invalid_1)
{
auto self = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto out = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_NCHW);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_square_test, ascend950_case_shape_invalid)
{
auto self = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto out = TensorDesc({2, 3}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_square_test, ascend950_case_dtype_float)
{
auto self = TensorDesc({2, 3}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out = TensorDesc({2, 3}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_square_test, ascend950_case_dtype_float16)
{
auto self = TensorDesc({2, 3}, ACL_FLOAT16, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out = TensorDesc({2, 3}, ACL_FLOAT16, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_square_test, ascend950_case_dtype_int32)
{
auto self = TensorDesc({2, 3}, ACL_INT32, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out = TensorDesc({2, 3}, ACL_INT32, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_square_test, ascend950_case_dtype_int64)
{
auto self = TensorDesc({2, 3}, ACL_INT64, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out = TensorDesc({2, 3}, ACL_INT64, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_square_test, ascend950_case_dtype_bfloat16)
{
auto self = TensorDesc({2, 3}, ACL_BF16, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out = TensorDesc({2, 3}, ACL_BF16, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_square_test, ascend950_case_empty_tensor)
{
auto self = TensorDesc({0}, ACL_FLOAT, ACL_FORMAT_ND);
auto out = TensorDesc({0}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_square_test, ascend950_case_not_contiguous)
{
auto self = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND, {1, 2}, 0, {2, 2}).ValueRange(-2, 2);
auto out = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_square_test, ascend950_case_shape_1D)
{
auto self = TensorDesc({16}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out = TensorDesc({16}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_square_test, ascend950_case_shape_3D)
{
auto self = TensorDesc({2, 3, 4}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out = TensorDesc({2, 3, 4}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_square_test, ascend950_case_shape_4D)
{
auto self = TensorDesc({2, 3, 4, 5}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out = TensorDesc({2, 3, 4, 5}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_square_test, ascend950_case_shape_5D)
{
auto self = TensorDesc({1, 2, 3, 4, 5}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out = TensorDesc({1, 2, 3, 4, 5}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_square_test, ascend950_case_shape_8D)
{
auto self = TensorDesc({2, 2, 2, 2, 2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out = TensorDesc({2, 2, 2, 2, 2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnSquare, INPUT(self), OUTPUT(out));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}