* Copyright (c) 2026 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.
*/
* \file test_atan_operation.cpp
* \brief
*/
#include "test_operation.h"
using namespace tile_fwk::test_operation;
namespace {
struct AtanOpFuncArgs : public OpFuncArgs {
AtanOpFuncArgs(const std::vector<int64_t>& viewShape, const std::vector<int64_t>& tileShape)
: viewShape_(viewShape), tileShape_(tileShape)
{}
std::vector<int64_t> viewShape_;
std::vector<int64_t> tileShape_;
};
struct AtanOpMetaData {
explicit AtanOpMetaData(const OpFunc& opFunc, const nlohmann::json& test_data)
: opFunc_(opFunc), test_data_(test_data)
{}
OpFunc opFunc_;
nlohmann::json test_data_;
};
static void AtanOperationExeFunc2Dims(
const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs, const OpFuncArgs* opArgs)
{
FUNCTION("main", {inputs[0]}, {outputs[0]})
{
if (inputs[0].GetShape().size() == 1) {
auto args = static_cast<const AtanOpFuncArgs*>(opArgs);
SymbolicScalar firstDim = inputs[0].GetShape()[0];
const int firstViewShape = args->viewShape_[0];
int loop[] = {CeilDiv(firstDim, firstViewShape)};
LOOP("LOOP_L0_bIdx", FunctionType::DYNAMIC_LOOP, bIdx, LoopRange(loop[0]))
{
std::vector<SymbolicScalar> offset = {bIdx * firstViewShape};
std::vector<SymbolicScalar> validShape = {
std::min(firstDim - bIdx * firstViewShape, firstViewShape)
};
auto viewTensor = View(inputs[0], args->viewShape_, validShape, offset);
TileShape::Current().SetVecTile(args->tileShape_);
auto res = Atan(viewTensor);
Assemble(res, offset, outputs[0]);
}
} else {
auto args = static_cast<const AtanOpFuncArgs*>(opArgs);
const int firstViewShape = args->viewShape_[0];
const int secondViewShape = args->viewShape_[1];
SymbolicScalar firstDim = inputs[0].GetShape()[0];
SymbolicScalar secondDim = inputs[0].GetShape()[1];
const int bloop = CeilDiv(firstDim, firstViewShape);
const int sloop = CeilDiv(secondDim, secondViewShape);
LOOP("LOOP_L0_bIdx", FunctionType::DYNAMIC_LOOP, bIdx, LoopRange(0, bloop, 1))
{
LOOP("LOOP_L1_sIdx", FunctionType::DYNAMIC_LOOP, sIdx, LoopRange(0, sloop, 1))
{
std::vector<SymbolicScalar> offset = {bIdx * firstViewShape, sIdx * secondViewShape};
std::vector<SymbolicScalar> validShape = {
std::min(firstDim - bIdx * firstViewShape, firstViewShape),
std::min(secondDim - sIdx * secondViewShape, secondViewShape)
};
auto tileTensor = View(inputs[0], args->viewShape_, validShape, offset);
TileShape::Current().SetVecTile(args->tileShape_);
auto res = Atan(tileTensor);
Assemble(res, offset, outputs[0]);
}
}
}
}
}
static void AtanOperationExeFunc3Dims(
const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs, const OpFuncArgs* opArgs)
{
FUNCTION("main", {inputs[0]}, {outputs[0]})
{
auto args = static_cast<const AtanOpFuncArgs*>(opArgs);
const int firstViewShape = args->viewShape_[0];
const int secondViewShape = args->viewShape_[1];
const int thirdViewShape = args->viewShape_[2];
SymbolicScalar firstDim = inputs[0].GetShape()[0];
SymbolicScalar secondDim = inputs[0].GetShape()[1];
SymbolicScalar thirdDim = inputs[0].GetShape()[2];
const int bloop = CeilDiv(firstDim, firstViewShape);
const int sloop = CeilDiv(secondDim, secondViewShape);
const int nloop = CeilDiv(thirdDim, thirdViewShape);
LOOP("LOOP_L0_bIdx", FunctionType::DYNAMIC_LOOP, bIdx, LoopRange(0, bloop, 1))
{
LOOP("LOOP_L1_sIdx", FunctionType::DYNAMIC_LOOP, sIdx, LoopRange(0, sloop, 1))
{
LOOP("LOOP_L2_nIdx", FunctionType::DYNAMIC_LOOP, nIdx, LoopRange(0, nloop, 1))
{
std::vector<SymbolicScalar> offset =
{bIdx * firstViewShape, sIdx * secondViewShape, nIdx * thirdViewShape};
auto tileTensor = View(
inputs[0], args->viewShape_,
{std::min(firstDim - bIdx * firstViewShape, firstViewShape),
std::min(secondDim - sIdx * secondViewShape, secondViewShape),
std::min(thirdDim - nIdx * thirdViewShape, thirdViewShape)},
offset);
TileShape::Current().SetVecTile(args->tileShape_);
auto res = Atan(tileTensor);
Assemble(res, offset, outputs[0]);
}
}
}
}
}
static void AtanOperationExeFunc4Dims(
const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs, const OpFuncArgs* opArgs)
{
FUNCTION("main", {inputs[0]}, {outputs[0]})
{
auto args = static_cast<const AtanOpFuncArgs*>(opArgs);
const int firstViewShape = args->viewShape_[0];
const int secondViewShape = args->viewShape_[1];
const int thirdViewShape = args->viewShape_[2];
const int fourthViewShape = args->viewShape_[3];
SymbolicScalar firstDim = inputs[0].GetShape()[0];
SymbolicScalar secondDim = inputs[0].GetShape()[1];
SymbolicScalar thirdDim = inputs[0].GetShape()[2];
SymbolicScalar fourthDim = inputs[0].GetShape()[3];
const int bloop = CeilDiv(firstDim, firstViewShape);
const int sloop = CeilDiv(secondDim, secondViewShape);
const int mloop = CeilDiv(thirdDim, thirdViewShape);
const int nloop = CeilDiv(fourthDim, fourthViewShape);
LOOP("LOOP_L0_bIdx", FunctionType::DYNAMIC_LOOP, bIdx, LoopRange(0, bloop, 1))
{
LOOP("LOOP_L1_sIdx", FunctionType::DYNAMIC_LOOP, sIdx, LoopRange(0, sloop, 1))
{
LOOP("LOOP_L2_mIdx", FunctionType::DYNAMIC_LOOP, mIdx, LoopRange(0, mloop, 1))
{
LOOP("LOOP_L3_nIdx", FunctionType::DYNAMIC_LOOP, nIdx, LoopRange(0, nloop, 1))
{
std::vector<SymbolicScalar> offset = {
bIdx * firstViewShape,
sIdx * secondViewShape,
mIdx * thirdViewShape,
nIdx * fourthViewShape
};
Tensor tileTensor0 = View(
inputs[0], args->viewShape_,
{std::min(firstDim - bIdx * firstViewShape, firstViewShape),
std::min(secondDim - sIdx * secondViewShape, secondViewShape),
std::min(thirdDim - mIdx * thirdViewShape, thirdViewShape),
std::min(fourthDim - nIdx * fourthViewShape, fourthViewShape)},
offset);
TileShape::Current().SetVecTile(args->tileShape_);
auto res = Atan(tileTensor0);
Assemble(res, offset, outputs[0]);
}
}
}
}
}
}
class AtanOperationTest : public npu::tile_fwk::stest::TestSuite_STest_Ops_Aihac_param<AtanOpMetaData> {};
INSTANTIATE_TEST_SUITE_P(
TestAtan, AtanOperationTest,
::testing::ValuesIn(GetOpMetaData<AtanOpMetaData>(
{AtanOperationExeFunc2Dims, AtanOperationExeFunc3Dims, AtanOperationExeFunc4Dims},
"Atan")));
TEST_P(AtanOperationTest, TestAtan)
{
auto test_data = GetParam().test_data_;
auto args = AtanOpFuncArgs(GetViewShape(test_data), GetTileShape(test_data));
auto testCase = CreateTestCaseDesc<AtanOpMetaData>(GetParam(), &args);
TestExecutor::runTest(testCase);
}
}
