custom_relu_op_xpu.cc

// Copyright (c) 2021 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 <iostream>
#include <vector>

#include "paddle/extension.h"

#define CHECK_CPU_INPUT(x) PD_CHECK(x.is_cpu(), #x " must be a CPU Tensor.")
#define CHECK_XPU_INPUT(x) PD_CHECK(x.is_xpu(), #x " must be a XPU Tensor.")

template <typename data_t>
void relu_cpu_forward_kernel(const data_t* x_data,
                             data_t* out_data,
                             int64_t x_numel) {
  PD_CHECK(x_data != nullptr, "x_data is nullptr.");
  PD_CHECK(out_data != nullptr, "out_data is nullptr.");
  for (int64_t i = 0; i < x_numel; ++i) {
    out_data[i] = std::max(static_cast<data_t>(0.), x_data[i]);
  }
}

std::vector<paddle::Tensor> relu_cpu_forward(const paddle::Tensor& x) {
  CHECK_CPU_INPUT(x);
  auto out = paddle::empty_like(x);

  PD_DISPATCH_FLOATING_TYPES(
      x.type(), "relu_cpu_forward", ([&] {
        relu_cpu_forward_kernel<data_t>(
            x.data<data_t>(), out.data<data_t>(), x.numel());
      }));

  return {out};
}

std::vector<paddle::Tensor> relu_xpu_forward(const paddle::Tensor& x) {
  CHECK_XPU_INPUT(x);
  auto out = paddle::relu(x);
  return {out};
}

std::vector<paddle::Tensor> ReluForward(const paddle::Tensor& x) {
  if (x.is_cpu()) {
    return relu_cpu_forward(x);
  } else if (x.is_xpu()) {
    return relu_xpu_forward(x);
  } else {
    PD_THROW("Not implemented.");
  }
}

PD_BUILD_OP(custom_relu)
    .Inputs({"X"})
    .Outputs({"Out"})
    .SetKernelFn(PD_KERNEL(ReluForward));