// 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) {}
