* 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_atanh_operation.cpp
* \brief
*/
#include "test_operation.h"
using namespace tile_fwk::test_operation;
namespace {
struct AtanhOpFuncArgs : public OpFuncArgs {
AtanhOpFuncArgs(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 AtanhOpMetaData {
explicit AtanhOpMetaData(const OpFunc& opFunc, const nlohmann::json& test_data)
: opFunc_(opFunc), test_data_(test_data)
{}
OpFunc opFunc_;
nlohmann::json test_data_;
};
static void AtanhOperationExeFunc2Dims(
const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs, const OpFuncArgs* opArgs)
{
FUNCTION("main", {inputs[0]}, {outputs[0]})
{
if (inputs[0].GetShape().size() == 1) {
SymbolicScalar firstDim = inputs[0].GetShape()[0];
const struct AtanhOpFuncArgs* args = static_cast<const AtanhOpFuncArgs*>(opArgs);
const int firstViewShape = args->viewShape_[0];
const int bloop = CeilDiv(firstDim, firstViewShape);
LOOP("LOOP_L0_bIdx", FunctionType::DYNAMIC_LOOP, bIdx, LoopRange(0, bloop, 1))
{
std::vector<SymbolicScalar> offset = {bIdx * args->viewShape_[0]};
auto viewTensor = View(
inputs[0], args->viewShape_, {std::min(firstDim - bIdx * firstViewShape, firstViewShape)}, offset);
TileShape::Current().SetVecTile(args->tileShape_);
auto res = Atanh(viewTensor);
Assemble(res, offset, outputs[0]);
}
} else {
SymbolicScalar firstDim = inputs[0].GetShape()[0];
SymbolicScalar secondDim = inputs[0].GetShape()[1];
const struct AtanhOpFuncArgs* args = static_cast<const AtanhOpFuncArgs*>(opArgs);
const int firstViewShape = args->viewShape_[0];
const int secondViewShape = args->viewShape_[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};
auto viewTensor = View(
inputs[0], args->viewShape_,
{std::min(firstDim - bIdx * firstViewShape, firstViewShape),
std::min(secondDim - sIdx * secondViewShape, secondViewShape)},
offset);
TileShape::Current().SetVecTile(args->tileShape_);
auto res = Atanh(viewTensor);
Assemble(res, offset, outputs[0]);
}
}
}
}
}
static void AtanhOperationExeFunc3Dims(
const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs, const OpFuncArgs* opArgs)
{
FUNCTION("main", {inputs[0]}, {outputs[0]})
{
SymbolicScalar firstDim = inputs[0].GetShape()[0];
SymbolicScalar secondDim = inputs[0].GetShape()[1];
SymbolicScalar thirdDim = inputs[0].GetShape()[2];
const struct AtanhOpFuncArgs* args = static_cast<const AtanhOpFuncArgs*>(opArgs);
const int firstViewShape = args->viewShape_[0];
const int secondViewShape = args->viewShape_[1];
const int thirdViewShape = args->viewShape_[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 viewTensor = 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 = Atanh(viewTensor);
Assemble(res, offset, outputs[0]);
}
}
}
}
}
static void AtanhOperationExeFunc4Dims(
const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs, const OpFuncArgs* opArgs)
{
FUNCTION("main", {inputs[0]}, {outputs[0]})
{
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 struct AtanhOpFuncArgs* args = static_cast<const AtanhOpFuncArgs*>(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];
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
};
auto viewTensor = 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 = Atanh(viewTensor);
Assemble(res, offset, outputs[0]);
}
}
}
}
}
}
class AtanhOperationTest : public npu::tile_fwk::stest::TestSuite_STest_Ops_Aihac_param<AtanhOpMetaData> {};
INSTANTIATE_TEST_SUITE_P(
TestAtanh, AtanhOperationTest,
::testing::ValuesIn(tile_fwk::test_operation::GetOpMetaData<AtanhOpMetaData>(
{AtanhOperationExeFunc2Dims, AtanhOperationExeFunc3Dims, AtanhOperationExeFunc4Dims},
"Atanh")));
TEST_P(AtanhOperationTest, TestAtanh)
{
auto test_data = GetParam().test_data_;
auto args = AtanhOpFuncArgs(GetViewShape(test_data), GetTileShape(test_data));
auto testCase = tile_fwk::test_operation::CreateTestCaseDesc<AtanhOpMetaData>(GetParam(), &args);
tile_fwk::test_operation::TestExecutor::runTest(testCase);
}
}
