cinn_compiler.h 3.4 KB
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// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
//
// 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.

#pragma once

#include <atomic>
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#include <cstdint>
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#include <map>
#include <memory>
#include <string>
#include <unordered_map>

#include "cinn/common/target.h"
#include "cinn/hlir/framework/graph_compiler.h"
#include "paddle/fluid/framework/ir/graph.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/paddle2cinn/cinn_cache_key.h"
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#include "paddle/fluid/framework/rw_lock.h"
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#include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/platform/macros.h"

namespace paddle {
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namespace operators {
namespace details {
class CinnLaunchContext;
}
}

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namespace framework {
namespace paddle2cinn {

struct CinnCompiledObject {
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  std::unique_ptr<::cinn::hlir::framework::GraphCompiler> compiler;
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  std::unique_ptr<::cinn::hlir::framework::Program> runtime_program;
  std::shared_ptr<::cinn::hlir::framework::Scope> scope;
  std::unordered_map<std::string, std::string> paddle2cinn_varmap;
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  std::unique_ptr<operators::details::CinnLaunchContext> launch_context;
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};

// Entrance to use CINN.
//
// CINN cannot handle changable shape now, so CinnCompiler keeps a cache mapping
// from CinnCacheKey to CinnCompiledObject. If cache hits, we will re-use cache
// stored CinnCompiledObject, otherwise we will compile again and put into
// cache.
class CinnCompiler {
 public:
  // Singleton
  static CinnCompiler* GetInstance();

  const CinnCompiledObject& Compile(
      const ir::Graph& graph,
      const std::map<std::string, const LoDTensor*>& input_tensors,
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      const ::cinn::common::Target& target, void* stream = nullptr);
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  const CinnCompiledObject& Compile(
      const std::string& compilation_key,
      const std::map<std::string, const LoDTensor*>& input_tensors,
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      const ::cinn::common::Target& target, void* stream = nullptr);
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  std::string AddGraph(std::unique_ptr<ir::Graph> graph);

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  const ir::Graph& FindGraph(const std::string& graph_key) const;
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  std::string VizGraph(const std::string& graph_key) const;
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  std::string VizGraph(const ir::Graph& graph) const;

  std::string ReadableKey(const std::string& compilation_key) const;
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  void Clear();

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  std::int64_t real_compiled_num() const { return real_compiled_num_.load(); }
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  ~CinnCompiler() = default;

 private:
  CinnCompiler() = default;
  std::unique_ptr<CinnCompiledObject> CompileGraph(
      const ir::Graph& graph,
      const std::map<std::string, const LoDTensor*>& input_tensors,
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      const ::cinn::common::Target& target, std::int64_t compiled_num,
      void* stream = nullptr) const;
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  std::unordered_map<std::string, std::unique_ptr<ir::Graph>> graphs_;
  std::unordered_map<CinnCacheKey, std::unique_ptr<CinnCompiledObject>,
                     CinnCacheKey::Hash>
      cache_;
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Huihuang Zheng 已提交
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  std::atomic_int64_t real_compiled_num_{0};
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  mutable RWLock rwlock_;
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  DISABLE_COPY_AND_ASSIGN(CinnCompiler);
};

}  // namespace paddle2cinn
}  // namespace framework
}  // namespace paddle