optimizer_conf.h

/* Copyright (c) 2018 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. */

#pragma once

#if defined(PADDLE_WITH_CUDA)

namespace optimizer_config {

__constant__ float nonclk_coeff = 0.1;
__constant__ float clk_coeff = 1;

__constant__ float min_bound = -10;
__constant__ float max_bound = 10;
__constant__ float learning_rate = 0.05;
__constant__ float initial_g2sum = 3.0;
__constant__ float initial_range = 0;

__constant__ float mf_create_thresholds = 10;
__constant__ float mf_learning_rate = 0.05;
__constant__ float mf_initial_g2sum = 3.0;
__constant__ float mf_initial_range = 1e-4;
__constant__ float mf_min_bound = -10;
__constant__ float mf_max_bound = 10;
}  // namespace optimizer_config

#elif defined(PADDLE_WITH_XPU_KP)
namespace paddle {
namespace framework {

class OptimizerConfig {
 public:
  float nonclk_coeff;
  float clk_coeff;

  float min_bound;
  float max_bound;
  float learning_rate;
  float initial_g2sum;
  float initial_range;

  float mf_create_thresholds;
  float mf_learning_rate;
  float mf_initial_g2sum;
  float mf_initial_range;
  float mf_min_bound;
  float mf_max_bound;
};
}  // namespace framework
}  // namespace paddle

#endif