rtc.h

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/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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 MXNET_RTC_H_
#define MXNET_RTC_H_
#include "./base.h"
#if MXNET_USE_CUDA && MXNET_ENABLE_CUDA_RTC
#include <nvrtc.h>
#include <cuda.h>

#include <vector>
#include <string>
#include <memory>
#include <utility>
#include <unordered_map>
#include <unordered_set>
#include "./ndarray.h"

namespace mxnet {
namespace rtc {

class CudaModule {
 private:
  struct Chunk {
    Chunk(const char* source,
          const std::vector<std::string>& options,
          const std::vector<std::string>& exports);
    ~Chunk();
    CUfunction GetFunction(const std::string& mangled_name, const Context& ctx);
    nvrtcProgram prog_;
    char* ptx_;
    std::unordered_map<int, CUmodule> mod_;
    std::unordered_set<std::string> exports_;
  };
  std::shared_ptr<Chunk> ptr_;

 public:
  struct ArgType {
    bool is_ndarray;
    bool is_const;
    mshadow::TypeFlag dtype;
  };
  class Kernel {
   public:
    void Launch(const Context& ctx, const std::vector<dmlc::any>& args,
                uint32_t grid_dim_x, uint32_t grid_dim_y, uint32_t grid_dim_z,
                uint32_t block_dim_x, uint32_t block_dim_y, uint32_t block_dim_z,
                uint32_t shared_mem);
    const std::vector<ArgType>& signature() { return signature_; }

   private:
    friend class CudaModule;
    Kernel(const std::shared_ptr<Chunk>& mod,
           const std::string& mangled_name,
           const std::vector<ArgType>& signature);
    std::string mangled_name_;
    std::vector<ArgType> signature_;
    std::shared_ptr<Chunk> mod_;
    std::unordered_map<int, CUfunction> func_;
  };
  CudaModule(const char* source,
             const std::vector<std::string>& options,
             const std::vector<std::string>& exports)
      : ptr_(std::make_shared<Chunk>(source, options, exports)) {}
  std::shared_ptr<Kernel> GetKernel(const std::string& name,
                                    const std::vector<ArgType>& signature);
};

}  // namespace rtc
}  // namespace mxnet

#endif  // MXNET_USE_CUDA && MXNET_ENABLE_CUDA_RTC
#endif  // MXNET_RTC_H_