mindspore2022/mindspore/ccsrc/common/graph_kernel/expanders/utils.h

125 lines
3.5 KiB
C++

/**
* Copyright 2021 Huawei Technologies Co., Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_EXPANDERS_UTILS_H_
#define MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_EXPANDERS_UTILS_H_
#include <string>
#include <memory>
#include <vector>
#include "common/graph_kernel/model/lite_graph.h"
#include "common/graph_kernel/model/node.h"
namespace mindspore::graphkernel::expanders {
using inner::NodePtrList;
using BaseInfoList = std::vector<inner::NodeBase>;
class Validator;
class OpDesc {
public:
inner::LiteGraphPtr Run(const BaseInfoList &inputs, const BaseInfoList &outputs, const inner::DAttrs &attrs,
const std::string &processor);
virtual ~OpDesc() = default;
protected:
virtual bool CheckInputs() { return true; }
virtual NodePtrList Expand() = 0;
bool CheckOutputs();
inner::LiteGraph::GraphBuilder gb;
std::string op_;
BaseInfoList inputs_info_;
BaseInfoList outputs_info_;
inner::DAttrs attrs_;
std::string processor_;
std::vector<std::unique_ptr<Validator>> validators_;
friend class OpExpanderFactory;
friend class CheckAllFormatsSame;
friend class CheckAttr;
friend class SupportFormat;
};
class Validator {
public:
virtual bool Check(const OpDesc &e) = 0;
};
class CheckAllFormatsSame : public Validator {
public:
bool Check(const OpDesc &e) override {
if (e.inputs_info_.empty()) return true;
const auto &fmt_0 = e.inputs_info_[0].format;
for (size_t i = 1; i < e.inputs_info_.size(); i++) {
if (e.inputs_info_[i].format != fmt_0) {
MS_LOG(INFO) << "Unmatched format for op " << e.op_;
return false;
}
}
return true;
}
};
class CheckAttr : public Validator {
public:
CheckAttr(std::initializer_list<std::string> l) : attrs_(l) {}
~CheckAttr() = default;
bool Check(const OpDesc &e) override {
for (auto &a : attrs_) {
if (e.attrs_.count(a) == 0) {
MS_LOG(INFO) << "attr " << a << " does not exist. op " << e.op_;
return false;
}
}
return true;
}
private:
std::vector<std::string> attrs_;
};
class SupportFormat : public Validator {
public:
void AddFormat(std::initializer_list<std::string> l) { formats_.emplace_back(l); }
bool Check(const OpDesc &e) override {
for (auto &formats : formats_) {
if (formats.size() != e.inputs_info_.size()) {
continue;
}
bool match = true;
for (size_t i = 0; i < formats.size(); i++) {
if (e.inputs_info_[i].format != formats[i]) {
match = false;
break;
}
}
if (match) {
return true;
}
}
MS_LOG(INFO) << "unsupported format for op " << e.op_;
return false;
}
private:
std::vector<std::vector<std::string>> formats_;
};
std::vector<int64_t> GetAxisList(const ValuePtr &value);
ShapeVector ExpandDimsInferShape(const ShapeVector &shape, const std::vector<int64_t> &axis);
} // namespace mindspore::graphkernel::expanders
#endif // MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GRAPH_KERNEL_EXPANDERS_UTILS_H_