text: /**
   * Copyright 2019 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 <string>
  #include "backend/kernel_compiler/cpu/mkldnn/relu_cpu_kernel.h"
  #include "backend/kernel_compiler/cpu/mkldnn/mkl_kernel_engine.h"
  #include "runtime/device/cpu/cpu_device_address.h"
  #include "utils/ms_utils.h"
  
  namespace mindspore {
  namespace kernel {
  void ReluCPUKernel::InitKernel(const CNodePtr &kernel_node) {
    MS_EXCEPTION_IF_NULL(kernel_node);
    std::vector<size_t> src_shape = AnfAlgo::GetInputDeviceShape(kernel_node, 0);
    if (src_shape.size() != 4 && src_shape.size() != 2) {
      MS_LOG(EXCEPTION) << "relu kernel dims invalid " << src_shape.size();
    }
    dnnl::memory::desc src_desc = GetDefaultMemDesc(src_shape);
  
    dnnl::eltwise_forward::desc desc =
      dnnl::eltwise_forward::desc(dnnl::prop_kind::forward_training, dnnl::algorithm::eltwise_relu, src_desc, 0.0);
    std::string kernel_name = AnfAlgo::GetCNodeName(kernel_node);
    if (kernel_name == "ReLU6") {
      desc =
        dnnl::eltwise_forward::desc(dnnl::prop_kind::forward_training, dnnl::algorithm::eltwise_clip, src_desc, 0.0, 6.0);
    }
  
    auto prim_desc = dnnl::eltwise_forward::primitive_desc(desc, MKLKernelEngine::Get().engine());
    primitive_ = std::make_shared<dnnl::eltwise_forward>(prim_desc);
  
    AddArgument(DNNL_ARG_SRC, src_desc);
    AddArgument(DNNL_ARG_DST, src_desc);
  }
  
  bool ReluCPUKernel::Launch(const std::vector<kernel::AddressPtr> &inputs,
                             const std::vector<kernel::AddressPtr> & /*workspace*/,
                             const std::vector<kernel::AddressPtr> &outputs) {
    if (inputs.empty() || outputs.empty()) {
      MS_LOG(EXCEPTION) << "error input output size!";
    }
    SetArgumentHandle(DNNL_ARG_SRC, inputs[0]->addr);
    SetArgumentHandle(DNNL_ARG_DST, outputs[0]->addr);
    ExecutePrimitive();
    return true;
  }
  }  // namespace kernel
  }  // namespace mindspore
  