mindspore2022/mindspore/ccsrc/kernel/aicpu/aicpu_kernel_mod.cc

/**
 * Copyright 2020 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.
 */

#include "kernel/aicpu/aicpu_kernel_mod.h"

#include <memory>
#include <vector>
#include <string>
#include <algorithm>

#include "runtime/mem.h"
#include "runtime/rt.h"
#include "kernel/aicpu/aicpu_kernel_build.h"
#include "utils/convert_utils.h"
#include "kernel/aicpu/aicpu_util.h"

using AicpuTaskInfoPtr = std::shared_ptr<ge::model_runner::AicpuTaskInfo>;

namespace mindspore {
namespace kernel {
constexpr auto AICPU_OPS_SO_NAME = "libaicpu_kernels.so";

AicpuOpKernelMod::AicpuOpKernelMod() : anf_node_(nullptr) {}

AicpuOpKernelMod::~AicpuOpKernelMod() {
  args_.clear();
  inputList_.clear();
  outputList_.clear();
  anf_node_ = nullptr;
  input_size_list_.clear();
  output_size_list_.clear();
  workspace_size_list_.clear();
}

void AicpuOpKernelMod::SetInputSizeList(const std::vector<size_t> &size_list) { input_size_list_ = size_list; }
const std::vector<size_t> &AicpuOpKernelMod::GetInputSizeList() const { return input_size_list_; }
void AicpuOpKernelMod::SetOutputSizeList(const std::vector<size_t> &size_list) { output_size_list_ = size_list; }
const std::vector<size_t> &AicpuOpKernelMod::GetOutputSizeList() const { return output_size_list_; }
void AicpuOpKernelMod::SetWorkspaceSizeList(const std::vector<size_t> &size_list) { workspace_size_list_ = size_list; }
const std::vector<size_t> &AicpuOpKernelMod::GetWorkspaceSizeList() const { return workspace_size_list_; }
void AicpuOpKernelMod::SetInputList(const std::vector<int64_t> &inputList) { inputList_ = inputList; }
void AicpuOpKernelMod::SetOutputList(const std::vector<int64_t> &outputList) { outputList_ = outputList; }
void AicpuOpKernelMod::SetNodeDef(const std::string &nodeDef) { (void)node_def_str_.assign(nodeDef); }
void AicpuOpKernelMod::SetNodeName(const std::string &node_name) { node_name_ = node_name; }
void AicpuOpKernelMod::SetAnfNode(const mindspore::AnfNodePtr &anf_node) {
  MS_EXCEPTION_IF_NULL(anf_node);
  anf_node_ = anf_node;
}

void AicpuOpKernelMod::CreateCpuKernelInfo(const std::vector<AddressPtr> &inputs,
                                           const std::vector<AddressPtr> &outputs) {
  MS_LOG(INFO) << "CreateCpuKernelInfoOffline start";

  node_so_ = AICPU_OPS_SO_NAME;

  // InputOutputAddr
  vector<void *> io_addrs;
  (void)std::transform(std::begin(inputs), std::end(inputs), std::back_inserter(io_addrs),
                       [](const AddressPtr &input) -> void * { return input->addr; });
  (void)std::transform(std::begin(outputs), std::end(outputs), std::back_inserter(io_addrs),
                       [](const AddressPtr &output) -> void * { return output->addr; });

  auto io_addrs_num = io_addrs.size();
  // calculate paramLen: AicpuParamHead.len + ioAddrsSize + notifyId.len + customizedAttr.len
  auto param_len = sizeof(AicpuParamHead);

  // get input and output addrs size, no need to check overflow
  auto io_addrs_size = io_addrs_num * sizeof(uint64_t);
  // refresh paramLen, no need to check overflow
  param_len += io_addrs_size;

  auto node_def_len = node_def_str_.length();
  param_len += node_def_len;

  // Create taskArgs: AicpuParamHead + ioAddrs + notifyId + customizedAttr
  AicpuParamHead paramHead = {static_cast<uint32_t>(param_len), static_cast<uint32_t>(io_addrs_num)};
  args_.clear();
  (void)args_.append(reinterpret_cast<const char *>(&paramHead), sizeof(AicpuParamHead));
  // TaskArgs append ioAddrs
  if (io_addrs_size != 0) {
    (void)args_.append(reinterpret_cast<const char *>(io_addrs.data()), io_addrs_size);
  }

  // When it's aicpu customized ops, taskArgs should append customized attr
  if (node_def_len != 0) {
    (void)args_.append(reinterpret_cast<const char *>(node_def_str_.data()), node_def_len);
  }

  MS_LOG(INFO) << "CreateCpuKernelInfoOffline end";
}

bool AicpuOpKernelMod::Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &,
                              const std::vector<AddressPtr> &outputs, uintptr_t stream_ptr) {
  if (stream_ptr == 0) {
    MS_LOG(ERROR) << "stream_ptr should not be nullptr.";
    return false;
  }

  CreateCpuKernelInfo(inputs, outputs);
  auto *stream = reinterpret_cast<rtStream_t *>(stream_ptr);
  MS_LOG(INFO) << "Aicpu launch, node_so_:" << node_so_ << ", node name:" << node_name_
               << ", args_size:" << args_.length();
  if (rtCpuKernelLaunch(reinterpret_cast<const void *>(node_so_.c_str()),
                        reinterpret_cast<const void *>(node_name_.c_str()), 1,
                        reinterpret_cast<const void *>(args_.data()), static_cast<uint32_t>(args_.length()), nullptr,
                        stream) != RT_ERROR_NONE) {
    MS_LOG(ERROR) << "Aicpu op launch failed!";

    return false;
  }
  return true;
}

vector<TaskInfoPtr> AicpuOpKernelMod::GenTask(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &,
                                              const std::vector<AddressPtr> &outputs, uint32_t stream_id) {
  MS_LOG(INFO) << "AicpuOpKernelMod GenTask start";

  node_so_ = AICPU_OPS_SO_NAME;
  std::vector<void *> input_data_addrs;
  (void)std::transform(std::begin(inputs), std::end(inputs), std::back_inserter(input_data_addrs),
                       [](const AddressPtr &input) -> void * { return input->addr; });

  std::vector<void *> output_data_addrs;
  (void)std::transform(std::begin(outputs), std::end(outputs), std::back_inserter(output_data_addrs),
                       [](const AddressPtr &output) -> void * { return output->addr; });

  AicpuTaskInfoPtr task_info_ptr = make_shared<ge::model_runner::AicpuTaskInfo>(
    stream_id, node_so_, node_name_, node_def_str_, input_data_addrs, output_data_addrs);

  MS_LOG(INFO) << "AicpuOpKernelMod GenTask end";
  return {task_info_ptr};
}
}  // namespace kernel
}  // namespace mindspore