* 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_remainder_operation.cpp
* \brief
*/
#include "test_operation.h"
using namespace tile_fwk::test_operation;
namespace {
const unsigned IDX_DIM0 = 0;
const unsigned IDX_DIM1 = 1;
const unsigned IDX_DIM2 = 2;
const unsigned IDX_DIM3 = 3;
const unsigned IDX_DIM4 = 4;
struct RemainderOpFuncArgs : public OpFuncArgs {
RemainderOpFuncArgs(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 RemainderOpMetaData {
explicit RemainderOpMetaData(const OpFunc& opFunc, const nlohmann::json& test_data)
: opFunc_(opFunc), test_data_(test_data)
{}
OpFunc opFunc_;
nlohmann::json test_data_;
};
static Tensor GetBrcViewTensor(
const Tensor& input, const Shape& outputShape, const Shape& viewShape,
const std::vector<SymbolicScalar>& validShape, const std::vector<SymbolicScalar>& dynOffsets)
{
Shape tmpViewShape = viewShape;
std::vector<SymbolicScalar> tmpValidShape = validShape;
std::vector<SymbolicScalar> tmpDynOffsets = dynOffsets;
for (size_t i = 0; i < outputShape.size(); ++i) {
if (input.GetShape()[i] == 1) {
tmpViewShape[i] = 1;
tmpValidShape[i] = 1;
tmpDynOffsets[i] = 0;
}
}
return View(input, tmpViewShape, tmpValidShape, tmpDynOffsets);
}
static void RemainderOperationExeFunc1Dim(
const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs, const OpFuncArgs* opArgs)
{
FUNCTION("main", {inputs[0], inputs[1]}, {outputs[0]})
{
auto outputShape = outputs[0].GetShape();
auto args = static_cast<const RemainderOpFuncArgs*>(opArgs);
auto viewShape = args->viewShape_;
const int loop = CeilDiv(outputShape[0], viewShape[0]);
LOOP("LOOP_L0_bIdx", FunctionType::DYNAMIC_LOOP, bIdx, LoopRange(loop))
{
std::vector<SymbolicScalar> dynOffsets = {bIdx * viewShape[0]};
std::vector<SymbolicScalar> validShape = {std::min(outputShape[0] - bIdx * viewShape[0], viewShape[0])};
Tensor tileTensor0 = GetBrcViewTensor(inputs[0], outputShape, viewShape, validShape, dynOffsets);
Tensor tileTensor1 = GetBrcViewTensor(inputs[1], outputShape, viewShape, validShape, dynOffsets);
TileShape::Current().SetVecTile(args->tileShape_);
auto res = Remainder(tileTensor0, tileTensor1);
Assemble(res, dynOffsets, outputs[0]);
}
}
}
static void RemainderOperationExeFunc2Dims(
const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs, const OpFuncArgs* opArgs)
{
FUNCTION("main", {inputs[0], inputs[1]}, {outputs[0]})
{
auto outputShape = outputs[0].GetShape();
auto args = static_cast<const RemainderOpFuncArgs*>(opArgs);
auto viewShape = args->viewShape_;
const int loop[] = {CeilDiv(outputShape[0], viewShape[0]), CeilDiv(outputShape[1], viewShape[1])};
LOOP("LOOP_L0_bIdx", FunctionType::DYNAMIC_LOOP, bIdx, LoopRange(loop[IDX_DIM0]))
{
LOOP("LOOP_L1_sIdx", FunctionType::DYNAMIC_LOOP, sIdx, LoopRange(loop[IDX_DIM1]))
{
std::vector<SymbolicScalar> dynOffsets = {bIdx * viewShape[0], sIdx * viewShape[1]};
std::vector<SymbolicScalar> validShape = {
std::min(outputShape[0] - bIdx * viewShape[0], viewShape[0]),
std::min(outputShape[1] - sIdx * viewShape[1], viewShape[1])};
Tensor tileTensor0 = GetBrcViewTensor(inputs[0], outputShape, viewShape, validShape, dynOffsets);
Tensor tileTensor1 = GetBrcViewTensor(inputs[1], outputShape, viewShape, validShape, dynOffsets);
TileShape::Current().SetVecTile(args->tileShape_);
auto res = Remainder(tileTensor0, tileTensor1);
Assemble(res, dynOffsets, outputs[0]);
}
}
}
}
static void RemainderOperationExeFunc3Dims(
const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs, const OpFuncArgs* opArgs)
{
FUNCTION("main", {inputs[0], inputs[1]}, {outputs[0]})
{
auto outputShape = outputs[0].GetShape();
auto args = static_cast<const RemainderOpFuncArgs*>(opArgs);
auto viewShape = args->viewShape_;
const int loop[] = {
CeilDiv(outputShape[0], viewShape[0]), CeilDiv(outputShape[1], viewShape[1]),
CeilDiv(outputShape[2], viewShape[2])};
LOOP("LOOP_L0_bIdx", FunctionType::DYNAMIC_LOOP, bIdx, LoopRange(loop[IDX_DIM0]))
{
LOOP("LOOP_L1_sIdx", FunctionType::DYNAMIC_LOOP, sIdx, LoopRange(loop[IDX_DIM1]))
{
LOOP("LOOP_L2_nIdx", FunctionType::DYNAMIC_LOOP, nIdx, LoopRange(loop[IDX_DIM2]))
{
std::vector<SymbolicScalar> dynOffsets = {
bIdx * viewShape[0], sIdx * viewShape[1], nIdx * viewShape[2]};
std::vector<SymbolicScalar> validShape = {
std::min(outputShape[0] - bIdx * viewShape[0], viewShape[0]),
std::min(outputShape[1] - sIdx * viewShape[1], viewShape[1]),
std::min(outputShape[2] - nIdx * viewShape[2], viewShape[2])};
Tensor tileTensor0 = GetBrcViewTensor(inputs[0], outputShape, viewShape, validShape, dynOffsets);
Tensor tileTensor1 = GetBrcViewTensor(inputs[1], outputShape, viewShape, validShape, dynOffsets);
TileShape::Current().SetVecTile(args->tileShape_);
auto res = Remainder(tileTensor0, tileTensor1);
Assemble(res, dynOffsets, outputs[0]);
}
}
}
}
}
static void RemainderOperationExeFunc4Dims(
const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs, const OpFuncArgs* opArgs)
{
FUNCTION("main", {inputs[0], inputs[1]}, {outputs[0]})
{
auto outputShape = outputs[0].GetShape();
auto args = static_cast<const RemainderOpFuncArgs*>(opArgs);
auto viewShape = args->viewShape_;
const int loop[] = {
CeilDiv(outputShape[0], viewShape[0]), CeilDiv(outputShape[1], viewShape[1]),
CeilDiv(outputShape[2], viewShape[2]), CeilDiv(outputShape[3], viewShape[3])};
LOOP("LOOP_L0_bIdx", FunctionType::DYNAMIC_LOOP, bIdx, LoopRange(loop[IDX_DIM0]))
{
LOOP("LOOP_L1_sIdx", FunctionType::DYNAMIC_LOOP, sIdx, LoopRange(loop[IDX_DIM1]))
{
LOOP("LOOP_L2_nIdx", FunctionType::DYNAMIC_LOOP, nIdx, LoopRange(loop[IDX_DIM2]))
{
LOOP("LOOP_L3_qIdx", FunctionType::DYNAMIC_LOOP, qIdx, LoopRange(loop[IDX_DIM3]))
{
std::vector<SymbolicScalar> dynOffsets = {
bIdx * viewShape[0], sIdx * viewShape[1], nIdx * viewShape[2], qIdx * viewShape[3]};
std::vector<SymbolicScalar> validShape = {
std::min(outputShape[0] - bIdx * viewShape[0], viewShape[0]),
std::min(outputShape[1] - sIdx * viewShape[1], viewShape[1]),
std::min(outputShape[2] - nIdx * viewShape[2], viewShape[2]),
std::min(outputShape[3] - qIdx * viewShape[3], viewShape[3])};
Tensor tileTensor0 =
GetBrcViewTensor(inputs[0], outputShape, viewShape, validShape, dynOffsets);
Tensor tileTensor1 =
GetBrcViewTensor(inputs[1], outputShape, viewShape, validShape, dynOffsets);
TileShape::Current().SetVecTile(args->tileShape_);
auto res = Remainder(tileTensor0, tileTensor1);
Assemble(res, dynOffsets, outputs[0]);
}
}
}
}
}
}
static void RemainderOperationExeFunc5Dims(
const std::vector<Tensor>& inputs, std::vector<Tensor>& outputs, const OpFuncArgs* opArgs)
{
FUNCTION("main", {inputs[0], inputs[1]}, {outputs[0]})
{
auto outputShape = outputs[0].GetShape();
auto args = static_cast<const RemainderOpFuncArgs*>(opArgs);
auto viewShape = args->viewShape_;
const int loop[] = {
CeilDiv(outputShape[0], viewShape[0]), CeilDiv(outputShape[1], viewShape[1]),
CeilDiv(outputShape[2], viewShape[2]), CeilDiv(outputShape[3], viewShape[3]),
CeilDiv(outputShape[4], viewShape[4])};
LOOP("LOOP_L0_bIdx", FunctionType::DYNAMIC_LOOP, bIdx, LoopRange(loop[IDX_DIM0]))
{
LOOP("LOOP_L1_sIdx", FunctionType::DYNAMIC_LOOP, sIdx, LoopRange(loop[IDX_DIM1]))
{
LOOP("LOOP_L2_nIdx", FunctionType::DYNAMIC_LOOP, nIdx, LoopRange(loop[IDX_DIM2]))
{
LOOP("LOOP_L3_qIdx", FunctionType::DYNAMIC_LOOP, qIdx, LoopRange(loop[IDX_DIM3]))
{
LOOP("LOOP_L4_rIdx", FunctionType::DYNAMIC_LOOP, rIdx, LoopRange(loop[IDX_DIM4]))
{
std::vector<SymbolicScalar> dynOffsets = {
bIdx * viewShape[0], sIdx * viewShape[1], nIdx * viewShape[2], qIdx * viewShape[3],
rIdx * viewShape[4]};
std::vector<SymbolicScalar> validShape = {
std::min(outputShape[0] - bIdx * viewShape[0], viewShape[0]),
std::min(outputShape[1] - sIdx * viewShape[1], viewShape[1]),
std::min(outputShape[2] - nIdx * viewShape[2], viewShape[2]),
std::min(outputShape[3] - qIdx * viewShape[3], viewShape[3]),
std::min(outputShape[4] - rIdx * viewShape[4], viewShape[4])};
Tensor tileTensor0 =
GetBrcViewTensor(inputs[0], outputShape, viewShape, validShape, dynOffsets);
Tensor tileTensor1 =
GetBrcViewTensor(inputs[1], outputShape, viewShape, validShape, dynOffsets);
TileShape::Current().SetVecTile(args->tileShape_);
auto res = Remainder(tileTensor0, tileTensor1);
Assemble(res, dynOffsets, outputs[0]);
}
}
}
}
}
}
}
class RemainderOperationTest : public npu::tile_fwk::stest::TestSuite_STest_Ops_Aihac_param<RemainderOpMetaData> {};
INSTANTIATE_TEST_SUITE_P(
TestRemainder, RemainderOperationTest,
::testing::ValuesIn(GetOpMetaData<RemainderOpMetaData>(
{RemainderOperationExeFunc1Dim, RemainderOperationExeFunc2Dims, RemainderOperationExeFunc3Dims,
RemainderOperationExeFunc4Dims, RemainderOperationExeFunc5Dims},
"Remainder")));
TEST_P(RemainderOperationTest, TestRemainder)
{
auto test_data = GetParam().test_data_;
auto args = RemainderOpFuncArgs(GetViewShape(test_data), GetTileShape(test_data));
auto testCase = CreateTestCaseDesc<RemainderOpMetaData>(GetParam(), &args);
std::vector<OpFunc> opFuncs = {
RemainderOperationExeFunc1Dim, RemainderOperationExeFunc2Dims, RemainderOperationExeFunc3Dims,
RemainderOperationExeFunc4Dims, RemainderOperationExeFunc5Dims};
testCase.opFunc = opFuncs[GetViewShape(test_data).size() - 1];
TestExecutor::runTest(testCase);
}
}
