* 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 <array>
#include <vector>
#include "gtest/gtest.h"
#include "../../../op_api/aclnn_neg.h"
#include "op_api_ut_common/op_api_ut.h"
#include "op_api_ut_common/scalar_desc.h"
#include "op_api_ut_common/tensor_desc.h"
#include "opdev/platform.h"
using namespace op;
class l2_neg_test : public testing::Test {
protected:
static void SetUpTestCase()
{
std::cout << "neg_test SetUp" << std::endl;
}
static void TearDownTestCase()
{
std::cout << "neg_test TearDown" << std::endl;
}
};
TEST_F(l2_neg_test, case_support_double)
{
auto self_tensor_desc = TensorDesc({2, 3}, ACL_DOUBLE, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out_tensor_desc = TensorDesc(self_tensor_desc);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, case_support_float)
{
auto self_tensor_desc = TensorDesc({2, 3}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(-1, 1);
auto out_tensor_desc = TensorDesc(self_tensor_desc);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, case_support_float16)
{
auto self_tensor_desc = TensorDesc({3, 4, 5, 6}, ACL_FLOAT16, ACL_FORMAT_NHWC).ValueRange(0, 100);
auto out_tensor_desc = TensorDesc(self_tensor_desc).Precision(0.001, 0.001);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, ascend950PR_89_case_support_int64)
{
auto self_tensor_desc = TensorDesc({3, 4, 5, 6}, ACL_INT64, ACL_FORMAT_NHWC).ValueRange(-5, 0);
auto out_tensor_desc = TensorDesc(self_tensor_desc).Precision(0.0001, 0.0001);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, case_support_int32)
{
auto self_tensor_desc = TensorDesc({3, 4, 5, 6}, ACL_INT32, ACL_FORMAT_NHWC).ValueRange(-5, 5);
auto out_tensor_desc = TensorDesc(self_tensor_desc).Precision(0.0001, 0.0001);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, case_support_int8)
{
auto self_tensor_desc = TensorDesc({3, 4, 5, 6}, ACL_INT8, ACL_FORMAT_NHWC).ValueRange(-5, 5);
auto out_tensor_desc = TensorDesc(self_tensor_desc).Precision(0.0001, 0.0001);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, case_support_complex64)
{
auto self_tensor_desc = TensorDesc({6, 3}, ACL_COMPLEX64, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out_tensor_desc = TensorDesc(self_tensor_desc);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, case_support_complex128)
{
auto self_tensor_desc = TensorDesc({6, 3}, ACL_COMPLEX128, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out_tensor_desc = TensorDesc(self_tensor_desc);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, case_not_support_int16)
{
auto tensor_desc = TensorDesc({10, 5}, ACL_INT16, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnNeg, INPUT(tensor_desc), OUTPUT(tensor_desc));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_neg_test, ascend310p_case_not_support_bfloat16)
{
auto tensor_desc = TensorDesc({10, 5}, ACL_BF16, ACL_FORMAT_ND);
SetPlatformSocVersion(SocVersion::ASCEND310P);
auto ut = OP_API_UT(aclnnNeg, INPUT(tensor_desc), OUTPUT(tensor_desc));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_neg_test, case_not_support_bool)
{
auto tensor_desc = TensorDesc({10, 5}, ACL_BOOL, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnNeg, INPUT(tensor_desc), OUTPUT(tensor_desc));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_neg_test, case_input_nullptr)
{
auto tensor_desc = TensorDesc({1, 16, 1, 1}, ACL_FLOAT, ACL_FORMAT_NCHW);
auto ut = OP_API_UT(aclnnNeg, INPUT((aclTensor*)nullptr), OUTPUT(tensor_desc));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_NULLPTR);
}
TEST_F(l2_neg_test, case_output_nullptr)
{
auto tensor_desc = TensorDesc({1, 16, 1, 1}, ACL_FLOAT, ACL_FORMAT_NCHW);
auto ut = OP_API_UT(aclnnNeg, INPUT(tensor_desc), OUTPUT((aclTensor*)nullptr));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_NULLPTR);
}
TEST_F(l2_neg_test, case_empty_tensor)
{
auto self_tensor_desc = TensorDesc({2, 0}, ACL_FLOAT, ACL_FORMAT_ND);
auto out_tensor_desc = TensorDesc({2, 0}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, case_support_hwcn)
{
auto self_tensor_desc = TensorDesc({3, 4, 5, 6}, ACL_INT32, ACL_FORMAT_HWCN).ValueRange(-5, 5);
auto out_tensor_desc = TensorDesc(self_tensor_desc).Precision(0.0001, 0.0001);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, case_support_ndhwc)
{
auto self_tensor_desc = TensorDesc({3, 4, 5, 6}, ACL_INT32, ACL_FORMAT_NDHWC).ValueRange(-5, 5);
auto out_tensor_desc = TensorDesc(self_tensor_desc).Precision(0.0001, 0.0001);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, case_support_ncdhw)
{
auto self_tensor_desc = TensorDesc({3, 4, 5, 6}, ACL_INT32, ACL_FORMAT_NCDHW).ValueRange(-5, 5);
auto out_tensor_desc = TensorDesc(self_tensor_desc).Precision(0.0001, 0.0001);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, case_invalid_dim)
{
auto self_tensor_desc = TensorDesc({7, 9, 11, 3, 4, 6, 9, 2, 2}, ACL_FLOAT, ACL_FORMAT_ND).ValueRange(-2, 2);
auto out_tensor_desc = TensorDesc({7, 9, 11, 3, 4, 6, 9, 2, 2}, ACL_FLOAT, ACL_FORMAT_ND).Precision(0.0001, 0.0001);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_neg_test, case_non_contigupus)
{
auto self_tensor_desc = TensorDesc({5, 4}, ACL_FLOAT, ACL_FORMAT_ND, {1, 5}, 0, {4, 5}).ValueRange(0, 10);
auto out_tensor_desc = TensorDesc({5, 4}, ACL_FLOAT, ACL_FORMAT_ND, {1, 5}, 0, {4, 5}).ValueRange(0, 10);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspace_size = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspace_size);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, case_support_difftype)
{
auto self_tensor_desc = TensorDesc({3, 4, 5, 6}, ACL_INT32, ACL_FORMAT_NHWC).ValueRange(-5, 5);
auto out_tensor_desc = TensorDesc({3, 4, 5, 6}, ACL_INT64, ACL_FORMAT_NHWC).ValueRange(-5, 5);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_neg_test, ascend310P_input_output_bf16)
{
auto self_tensor_desc = TensorDesc({3, 4, 5, 6}, ACL_BF16, ACL_FORMAT_ND);
auto out_tensor_desc = TensorDesc({3, 4, 5, 6}, ACL_BF16, ACL_FORMAT_ND).Precision(0.001, 0.001);
SetPlatformSocVersion(SocVersion::ASCEND310P);
auto ut = OP_API_UT(aclnnNeg, INPUT(self_tensor_desc), OUTPUT(out_tensor_desc));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}