* 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 "host_kernels/elewise_calculation_ops/maximum_kernel.h"
#include <memory>
#include <set>
#include "framework/common/debug/log.h"
#include "common/fp16_t/fp16_t.h"
#include "framework/common/framework_types_internal.h"
#include "framework/common/util.h"
#include "framework/common/debug/ge_log.h"
#include "framework/common/ge_inner_error_codes.h"
#include "common/b_cast/b_cast.h"
#include "graph/utils/type_utils.h"
#include "host_kernels/kernel_factory.h"
namespace ge {
namespace {
const size_t kMaximumInputNum = 2;
const size_t kMaximumFirstInput = 0;
const size_t kMaximumSecondInput = 1;
const size_t kMaximumFirstOutput = 0;
const std::set<DataType> kMaximumSupportedType = {DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8,
DT_INT32, DT_INT64, DT_UINT32, DT_UINT64, DT_DOUBLE};
#define DEFINE_FUNC_BY_TYPE(TYPE) \
std::function<TYPE(TYPE const &, TYPE const &)> func_##TYPE = [](TYPE const &a, TYPE const &b) -> TYPE { \
return (a > b ? a : b); \
}
#define SET_BCAST_COMPUTE_CASE(DTYPE, TYPE) \
case DTYPE: \
ret = bcast.BCastCompute(input, y_data_##TYPE, func_##TYPE); \
break
#define SET_OUTPUT(DTYPE, TYPE) \
case DTYPE: \
if (output_ptr->SetData(reinterpret_cast<uint8_t *>(y_data_##TYPE.data()), y_data_##TYPE.size() * length) != \
GRAPH_SUCCESS) { \
GELOGW("GenData: SetData failed"); \
} \
break
DEFINE_FUNC_BY_TYPE(int8_t);
DEFINE_FUNC_BY_TYPE(int16_t);
DEFINE_FUNC_BY_TYPE(int32_t);
DEFINE_FUNC_BY_TYPE(int64_t);
DEFINE_FUNC_BY_TYPE(uint8_t);
DEFINE_FUNC_BY_TYPE(uint16_t);
DEFINE_FUNC_BY_TYPE(uint32_t);
DEFINE_FUNC_BY_TYPE(uint64_t);
DEFINE_FUNC_BY_TYPE(fp16_t);
DEFINE_FUNC_BY_TYPE(float);
DEFINE_FUNC_BY_TYPE(double);
}
Status MaximumKernel::Compute(const OpDescPtr op_desc_ptr, const std::vector<ConstGeTensorPtr> &input,
std::vector<GeTensorPtr> &v_output) {
GELOGD("MaximumKernel in");
if (op_desc_ptr == nullptr) {
GELOGE(PARAM_INVALID, "Parameter's invalid, input opDescPtr is nullptr.");
return PARAM_INVALID;
}
Status ret = MaximumCheck(input);
if (ret != SUCCESS) {
return ret;
}
std::vector<int8_t> y_data_int8_t;
std::vector<int16_t> y_data_int16_t;
std::vector<int32_t> y_data_int32_t;
std::vector<int64_t> y_data_int64_t;
std::vector<uint8_t> y_data_uint8_t;
std::vector<uint16_t> y_data_uint16_t;
std::vector<uint32_t> y_data_uint32_t;
std::vector<uint64_t> y_data_uint64_t;
std::vector<fp16_t> y_data_fp16_t;
std::vector<float> y_data_float;
std::vector<double> y_data_double;
if (input.empty()) {
GELOGE(FAILED, "input is empty.");
return FAILED;
}
DataType data_type = input[kMaximumFirstInput]->GetTensorDesc().GetDataType();
BCast bcast;
switch (data_type) {
SET_BCAST_COMPUTE_CASE(DT_INT8, int8_t);
SET_BCAST_COMPUTE_CASE(DT_INT16, int16_t);
SET_BCAST_COMPUTE_CASE(DT_INT32, int32_t);
SET_BCAST_COMPUTE_CASE(DT_INT64, int64_t);
SET_BCAST_COMPUTE_CASE(DT_UINT8, uint8_t);
SET_BCAST_COMPUTE_CASE(DT_UINT16, uint16_t);
SET_BCAST_COMPUTE_CASE(DT_UINT32, uint32_t);
SET_BCAST_COMPUTE_CASE(DT_UINT64, uint64_t);
SET_BCAST_COMPUTE_CASE(DT_FLOAT16, fp16_t);
SET_BCAST_COMPUTE_CASE(DT_FLOAT, float);
SET_BCAST_COMPUTE_CASE(DT_DOUBLE, double);
default:
ret = NOT_CHANGED;
break;
}
if (ret != SUCCESS) {
GELOGW("BCastCompute fail, data_type: %s, ret: %s", TypeUtils::DataTypeToSerialString(data_type).c_str(),
GET_ERRORNO_STR(ret).c_str());
return NOT_CHANGED;
}
uint32_t length = 1;
if (!TypeUtils::GetDataTypeLength(data_type, length)) {
GELOGW("Can't GetDataTypeLength of data_type: %s", TypeUtils::DataTypeToSerialString(data_type).c_str());
return NOT_CHANGED;
}
GeTensorPtr output_ptr = MakeShared<GeTensor>(op_desc_ptr->GetOutputDesc(kMaximumFirstOutput));
if (output_ptr == nullptr) {
GELOGE(MEMALLOC_FAILED, "Make shared failed");
return MEMALLOC_FAILED;
}
output_ptr->MutableTensorDesc().SetShape(GeShape(bcast.GetOutputShape()));
switch (data_type) {
SET_OUTPUT(DT_INT8, int8_t);
SET_OUTPUT(DT_INT16, int16_t);
SET_OUTPUT(DT_INT32, int32_t);
SET_OUTPUT(DT_INT64, int64_t);
SET_OUTPUT(DT_UINT8, uint8_t);
SET_OUTPUT(DT_UINT16, uint16_t);
SET_OUTPUT(DT_UINT32, uint32_t);
SET_OUTPUT(DT_UINT64, uint64_t);
SET_OUTPUT(DT_FLOAT16, fp16_t);
SET_OUTPUT(DT_FLOAT, float);
SET_OUTPUT(DT_DOUBLE, double);
default:
break;
}
output_ptr->MutableTensorDesc().SetDataType(data_type);
v_output.push_back(output_ptr);
GELOGD("MaximumKernel success");
return SUCCESS;
}
Status MaximumKernel::MaximumCheck(const std::vector<ConstGeTensorPtr> &input) const {
if (input.size() != kMaximumInputNum) {
GELOGI("The number of input for Maximum must be %zu.", kMaximumInputNum);
return NOT_CHANGED;
}
ConstGeTensorPtr input_x1 = input.at(kMaximumFirstInput);
ConstGeTensorPtr input_x2 = input.at(kMaximumSecondInput);
GE_CHECK_NOTNULL(input_x1);
GE_CHECK_NOTNULL(input_x2);
if ((input_x1->GetData().size() == 0) || (input_x2->GetData().size() == 0)) {
GELOGI("Data size check skipped: empty input. x1: %zu, x2: %zu", input_x1->GetData().size(), input_x2->GetData().size());
return NOT_CHANGED;
}
DataType type = input_x1->GetTensorDesc().GetDataType();
if (type != input_x2->GetTensorDesc().GetDataType()) {
GELOGI("Data type of inputs for Maximum not matched.");
return NOT_CHANGED;
}
if (kMaximumSupportedType.find(type) == kMaximumSupportedType.end()) {
GELOGI("Maximum does not support this Data type: %s", TypeUtils::DataTypeToSerialString(type).c_str());
return NOT_CHANGED;
}
return SUCCESS;
}
REGISTER_COMPUTE_NODE_KERNEL(MAXIMUM, MaximumKernel);
}
