* 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_expand.h"
#include "op_api_ut_common/op_api_ut.h"
#include "op_api_ut_common/tensor_desc.h"
using namespace op;
using namespace std;
class l2_expand_test : public testing::Test {
protected:
static void SetUpTestCase() {
std::cout << "expand_test SetUp" << std::endl;
}
static void TearDownTestCase() { std::cout << "expand_test TearDown" << std::endl; }
};
TEST_F(l2_expand_test, case_precisions) {
auto self = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_self_nullptr) {
auto self = nullptr;
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_NULLPTR);
}
TEST_F(l2_expand_test, case_out_nullptr) {
auto self = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = nullptr;
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_NULLPTR);
}
TEST_F(l2_expand_test, case_self_float16) {
auto self = TensorDesc({2, 2}, ACL_FLOAT16, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = TensorDesc({2, 2}, ACL_FLOAT16, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, ascend910B2_case_self_float16) {
auto self = TensorDesc({2, 2}, ACL_BF16, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = TensorDesc({2, 2}, ACL_BF16, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_self_uint8) {
auto self = TensorDesc({2, 2}, ACL_UINT8, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = TensorDesc({2, 2}, ACL_UINT8, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_self_int8) {
auto self = TensorDesc({2, 2}, ACL_INT8, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = TensorDesc({2, 2}, ACL_INT8, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_self_int32) {
auto self = TensorDesc({2, 2}, ACL_INT32, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = TensorDesc({2, 2}, ACL_INT32, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_self_bool) {
auto self = TensorDesc({2, 2}, ACL_BOOL, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = TensorDesc({2, 2}, ACL_BOOL, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_self_float64) {
auto self = TensorDesc({2, 2}, ACL_DOUBLE, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = TensorDesc({2, 2}, ACL_DOUBLE, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_expand_test, case_dtype_not_match) {
auto self = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = TensorDesc({2, 2}, ACL_DOUBLE, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_expand_test, case_self_nchw) {
auto self = TensorDesc({2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_NCHW);
auto size = IntArrayDesc(vector<int64_t>{2, 2, 2, 2});
auto out = TensorDesc({2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_NCHW);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_self_nhwc) {
auto self = TensorDesc({2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_NHWC);
auto size = IntArrayDesc(vector<int64_t>{2, 2, 2, 2});
auto out = TensorDesc({2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_NHWC);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_self_hwcn) {
auto self = TensorDesc({2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_HWCN);
auto size = IntArrayDesc(vector<int64_t>{2, 2, 2, 2});
auto out = TensorDesc({2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_HWCN);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_self_ncdhw) {
auto self = TensorDesc({2, 2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_NCDHW);
auto size = IntArrayDesc(vector<int64_t>{2, 2, 2, 2, 2});
auto out = TensorDesc({2, 2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_NCDHW);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_self_ndhwc) {
auto self = TensorDesc({2, 2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_NDHWC);
auto size = IntArrayDesc(vector<int64_t>{2, 2, 2, 2, 2});
auto out = TensorDesc({2, 2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_NDHWC);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_self_and_size_not_match) {
auto self = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 3});
auto out = TensorDesc({2, 3}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_expand_test, case_out_and_size_not_match) {
auto self = TensorDesc({2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = TensorDesc({2, 3}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_expand_test, case_self_size_greater_than_size) {
auto self = TensorDesc({2, 2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2});
auto out = TensorDesc({2, 2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}
TEST_F(l2_expand_test, case_not_contiguous) {
auto self = TensorDesc({2, 4}, ACL_FLOAT, ACL_FORMAT_ND, {1, 2}, 0, {4, 2});
auto size = IntArrayDesc(vector<int64_t>{2, 4});
auto out = TensorDesc({2, 4}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_emtpy_tensor) {
auto self = TensorDesc({2, 0, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 0, 2});
auto out = TensorDesc({2, 0, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACL_SUCCESS);
}
TEST_F(l2_expand_test, case_max_dim_greater_than_8) {
auto self = TensorDesc({2, 2, 2, 2, 2, 2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto size = IntArrayDesc(vector<int64_t>{2, 2, 2, 2, 2, 2, 2, 2, 2});
auto out = TensorDesc({2, 2, 2, 2, 2, 2, 2, 2, 2}, ACL_FLOAT, ACL_FORMAT_ND);
auto ut = OP_API_UT(aclnnExpand, INPUT(self, size), OUTPUT(out));
uint64_t workspaceSize = 0;
aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
EXPECT_EQ(aclRet, ACLNN_ERR_PARAM_INVALID);
}