text: /**
   * 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 "backend/kernel_compiler/cpu/ps/embedding_look_up_proxy_kernel.h"
  #include <vector>
  #include "frontend/parallel/ps/worker.h"
  
  namespace mindspore {
  namespace kernel {
  namespace ps {
  void EmbeddingLookUpProxyKernel::InitKernel(const CNodePtr &kernel_node) {
    EmbeddingLookUpCPUKernel::InitKernel(kernel_node);
  
    for (auto dim : input_shape_) {
      input_dims_ *= dim;
    }
  
    if (mindspore::parallel::ps::Util::IsRoleOfWorker()) {
      key_ = AnfAlgo::GetNodeAttr<size_t>(kernel_node, kAttrPsKey);
    }
    std::vector<size_t> keys{key_, key_, key_};
    std::vector<size_t> values;
    values.insert(values.end(), input_shape_.begin(), input_shape_.end());
    values.insert(values.end(), indices_shape_.begin(), indices_shape_.end());
    values.insert(values.end(), output_shape_.begin(), output_shape_.end());
    std::vector<int> lens{SizeToInt(input_shape_.size()), SizeToInt(indices_shape_.size()),
                          SizeToInt(output_shape_.size())};
    const char *env_role = getenv(mindspore::parallel::ps::kEnvRole);
    if (env_role != nullptr && strcmp(env_role, mindspore::parallel::ps::kEnvRoleOfWorker) == 0) {
      parallel::ps::Worker<float>::GetInstance().AddEmbeddingTable(key_, input_shape_[axis_]);
      parallel::ps::Worker<float>::GetInstance().InitPSEmbeddingTable(keys, values, lens);
    }
  }
  
  bool EmbeddingLookUpProxyKernel::Launch(const std::vector<kernel::AddressPtr> &inputs,
                                          const std::vector<kernel::AddressPtr> & /*workspace*/,
                                          const std::vector<kernel::AddressPtr> &outputs) {
    auto indices_addr = reinterpret_cast<int *>(inputs[1]->addr);
    auto output_addr = reinterpret_cast<float *>(outputs[0]->addr);
    size_t input_size = inputs[1]->size;
    size_t output_size = outputs[0]->size;
  
    size_t size = input_size / sizeof(float);
    ::ps::SArray<int> lookup_ids(size, 0);
    ::ps::SArray<int> lengths{size};
    ::ps::SArray<float> lookup_result(output_size / sizeof(float), 0);
  
    auto ret = memcpy_s(lookup_ids.data(), input_size, indices_addr, input_size);
    if (ret != EOK) {
      MS_LOG(EXCEPTION) << "Lookup id memcpy failed.";
    }
    parallel::ps::Worker<float>::GetInstance().DoPSEmbeddingLookup({key_}, lookup_ids, lengths, &lookup_result,
                                                                   parallel::ps::kEmbeddingLookupCmd);
  
    auto ret2 = memcpy_s(output_addr, output_size, lookup_result.data(), output_size);
    if (ret2 != EOK) {
      MS_LOG(EXCEPTION) << "Lookup result memcpy failed.";
    }
    return true;
  }
  }  // namespace ps
  }  // namespace kernel
  }  // namespace mindspore
  