* 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.
*/
#ifndef CATLASS_TUNER_OP_CONFIG_H
#define CATLASS_TUNER_OP_CONFIG_H
#include <memory>
#include <unordered_map>
#include <opdev/bfloat16.h>
#include "command_line_parser.h"
#include "m_t_var.h"
#include "device_memory_manager.h"
#include "metric.h"
#include "catlass/library/operation.h"
namespace Catlass {
struct TensorConfig {
TensorConfig(Library::DataType data = Library::DataType::Invalid,
Library::LayoutType layout = Library::LayoutType::Invalid)
: dataType(data), layoutType(layout) {}
void SetInputData(size_t len, uint8_t *dst)
{
switch (dataType) {
case Library::DataType::U8:
FillData<uint8_t>(len, dst);
break;
case Library::DataType::Int8:
FillData<int8_t>(len, dst);
break;
case Library::DataType::Int32:
FillData<int32_t>(len, dst);
break;
case Library::DataType::Fp16:
FillData<op::fp16_t>(len, dst);
break;
case Library::DataType::Bf16:
FillData<op::bfloat16>(len, dst);
break;
case Library::DataType::Fp32:
FillData<float>(len, dst);
break;
default:
LOGE("Invalid tensor data type, generate input data failed");
}
}
Library::DataType dataType{Library::DataType::Invalid};
Library::LayoutType layoutType{Library::LayoutType::Invalid};
private:
template<typename T>
void FillData(size_t len, uint8_t *dst)
{
T lower = 1;
T upper = 5;
size_t size;
if (!SafeMul<size_t>({len, sizeof(T)}, size)) {
return;
}
std::vector<T> host(len);
FillRandomData<T>(host, lower, upper);
DeviceMemoryManager::Instance().FillDeviceData(dst, size, host.data());
}
};
class OpConfig {
public:
explicit OpConfig(const Library::OperationDescription &desp) : kind_(static_cast<uint32_t>(desp.kind)) {}
static std::shared_ptr<OpConfig> GetOpConfig(const Library::OperationDescription &desp);
static bool GetTensorConfig(const std::string &key, CommandLineParser &parser, TensorConfig &config);
virtual ~OpConfig() = default;
virtual void* GetConfig() = 0;
virtual void* GetArg() = 0;
virtual bool Filter(Library::Operation *op) = 0;
virtual bool InitConfig(CommandLineParser &parser) = 0;
virtual bool InitArgument(Library::Operation *op) = 0;
virtual void SaveMetric(Metric &metric) = 0;
bool operator<(const OpConfig& other) const
{
if (kind_ != other.kind_) {
return kind_ < other.kind_;
}
return subKind_ < other.subKind_;
}
inline bool MallocDeviceMemory(std::vector<DeviceMemoryParam> ¶ms)
{
if (!DeviceMemoryManager::Instance().MallocArguments(params)) {
if (!DeviceMemoryManager::Instance().FreeWorkspace() ||
!DeviceMemoryManager::Instance().MallocArguments(params)) {
LOGE("Malloc device memory for operator failed");
return false;
}
}
return true;
}
inline uint32_t GetKind() const { return kind_; }
inline uint32_t GetSubKind() const { return subKind_; }
inline bool Invalid() const { return invalid_; }
protected:
uint32_t kind_;
uint32_t subKind_{UINT32_MAX};
bool invalid_{false};
};
class OpConfigPool {
public:
bool Register(Library::Operation *op, CommandLineParser &parser, const std::string_view kernel);
auto &GetPool() { return pool_; }
private:
struct OpConfigCompare {
bool operator()(const std::shared_ptr<OpConfig>& lhs,
const std::shared_ptr<OpConfig>& rhs) const
{
if (lhs && rhs) {
return *lhs < *rhs;
}
return lhs < rhs;
}
};
std::map<std::shared_ptr<OpConfig>, std::vector<Library::Operation*>, OpConfigCompare> pool_;
};
}
#endif