/* Copyright (c) 2022 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. */

#include "paddle/phi/kernels/prelu_kernel.h"

#include "paddle/phi/backends/onednn/onednn_reuse.h"
#include "paddle/phi/core/kernel_registry.h"

namespace phi {
template <typename T, typename Context>
void PReluKernel(const Context& dev_ctx,
                 const DenseTensor& x,
                 const DenseTensor& alpha,
                 const std::string& data_format,
                 const std::string& mode,
                 DenseTensor* out) {
  PADDLE_ENFORCE_EQ(dev_ctx.GetPlace().GetType(),
                    AllocationType::CPU,
                    phi::errors::PreconditionNotMet(
                        "Operator oneDNN PReLU must use CPUPlace"));

  bool is_test = dev_ctx.HasDnnAttr("is_test")
                     ? PADDLE_GET_CONST(bool, dev_ctx.GetDnnAttr("is_test"))
                     : false;
  funcs::PReluOneDNNHandler<T> handler(dev_ctx.GetEngine(),
                                       dev_ctx.GetPlace(),
                                       x,
                                       alpha,
                                       mode,
                                       data_format,
                                       is_test);

  auto src_memory_p = handler.AcquireSrcMemory(&x);
  auto weights_memory_p =
      handler.AcquireWeightsMemoryPossiblyWithReorder(&alpha, is_test);
  auto dst_memory_p = handler.AcquireDstMemory(out);
  auto prelu_p = handler.AcquireForwardPrimitive();

  auto& astream = OneDNNContext::tls().get_stream();
  prelu_p->execute(astream,
                   {{DNNL_ARG_SRC, *src_memory_p},
                    {DNNL_ARG_WEIGHTS, *weights_memory_p},
                    {DNNL_ARG_DST, *dst_memory_p}});
  astream.wait();

  out->set_mem_desc(dst_memory_p->get_desc());
}
}  // namespace phi

PD_REGISTER_KERNEL(
    prelu, OneDNN, ONEDNN, phi::PReluKernel, float, phi::dtype::bfloat16) {}