conv_kernel.cl

/* 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. */

/*

#include "common.h"

__kernel void conv_1x1(__private const int global_size_dim0,
                       __private const int global_size_dim1,
                       __private const int global_size_dim2,
                       __read_only image2d_t input,
                       __read_only image2d_t filter,
                       __read_only image2d_t bias,
                       __write_only image2d_t output_image,
                       __private const int stride,
                       __private const int offset,
                       __private const int input_c,
                       __private const int input_width,/* of one block */
                       __private const int input_height/* of one block */) {
  const int out_c = get_global_id(0);
  const int out_w = get_global_id(1);
  const int out_nh = get_global_id(2);

  const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE |
                           CLK_ADDRESS_CLAMP         |
                           CLK_FILTER_NEAREST;
  const uint kernelHXW = 1;
  int2 stride_xy = int2(stride, stride);
  int2 ouput_pos_in_one_block = int2(out_w, out_nh);
  int2 in_pos_in_one_block = ouput_pos_in_one_block * stride_xy + int2(offset, offset);
  int input_c;
  half4 output = read_imageh(bias, sampler, int2(out_c, 0));

  for (int i = 0; i < input_c;h ++i) {
    int2 pos_in = int2(i * input_width + in_pos_in_one_block.x, in_pos_in_one_block.y);
    if (pos_in.x >=0 && pos_in.y >= 0 && pos_in.x < input_width && pos_in.y < input_height) {
        hafl4 input = read_imageh(input, sampler, pos_in);

        half4 weight_x = read_imageh(filter, sampler, int2(i, out_c * 4 + 0));
        output.x += dot(input, weight_x);

        half4 weight_y = read_imageh(filter, sampler, int2(i, out_c * 4 + 1));
        output.y += dot(input, weight_y);

        half4 weight_z = read_imageh(filter, sampler, int2(i, out_c * 4 + 2));
        output.z += dot(input, weight_z);

        half4 weight_w = read_imageh(filter, sampler, int2(i, out_c * 4 + 3));
        output.w += dot(input, weight_w);
    }
  }
#if defined(RELU)
  output = activation(output);
#endif

  int2 output_pos(out_c * global_size_dim1 + out_w, out_nh);
  write_imageh(output_image, output_pos, output);
}


__kernel void conv_3x3(__private const int global_size_dim0,
                                              __private const int global_size_dim1,
                                              __private const int global_size_dim2,
                                              __read_only image2d_t input,
                                              __read_only image2d_t filter,
                                              __read_only image2d_t bias,
                                              __write_only image2d_t output_image,
                                              __private const int stride,
                                              __private const int offset,
                                              __private const int input_c,
                                              __private const int dilation,
                                              __private const int input_width,/* of one block */
                                              __private const int input_height/* of one block */) {
    int2 stride_xy = int2(stride, stride);
    int2 ouput_pos_in_one_block = int2(out_w, out_nh);
    int2 in_pos_in_one_block = ouput_pos_in_one_block * stride_xy + int2(offset, offset);

    half4 output = read_imageh(bias, sampler, int2(out_c, 0));

    half4 input[9];

    for (int i = 0; i < input_c; ++i) {
        int2 pos_in = int2(i * input_width + in_pos_in_one_block.x, in_pos_in_one_block.y);

        input[0] = select(read_imageh(input, sampler,
                          int2(pos_in.x - dilation, pos_in.y - dilation)),
                          half4(0.0),in_pos_in_one_block.x - dilation < 0 || in_pos_in_one_block.y - dilation < 0 || in_pos_in_one_block.x - dilation >= input_width || in_pos_in_one_block.y - dilation >= input_height);

        input[1] = select(read_imageh(input, sampler,
                          int2(pos_in.x, pos_in.y - dilation)),
                          half4(0.0),in_pos_in_one_block.x < 0 || in_pos_in_one_block.y - dilation < 0 || in_pos_in_one_block.x >= input_width || in_pos_in_one_block.y - dilation >= input_height);

        input[2] = select(read_imageh(input, sampler,
                          int2(pos_in.x + dilation, pos_in.y - dilation)),
                          half4(0.0),in_pos_in_one_block.x + dilation < 0 || in_pos_in_one_block.y - dilation < 0 || in_pos_in_one_block.x + dilation >= input_width || in_pos_in_one_block.y - dilation >= input_height);

        input[3] = select(read_imageh(input, sampler,
                          int2(pos_in.x - dilation, pos_in.y)),
                          half4(0.0), in_pos_in_one_block.x - dilation < 0 || in_pos_in_one_block.y < 0 || in_pos_in_one_block.x - dilation >= input_width || in_pos_in_one_block.y >= input_height);

        input[4] = select(read_imageh(input, sampler,
                          int2(pos_in.x, pos_in.y)),
                          half4(0.0), in_pos_in_one_block.x < 0 || in_pos_in_one_block.y < 0 || in_pos_in_one_block.x >= input_width || in_pos_in_one_block.y >= input_height);

        input[5] = select(read_imageh(input, sampler,
                          int2(pos_in.x + dilation, pos_in.y)),
                          half4(0.0), in_pos_in_one_block.x + dilation < 0 || in_pos_in_one_block.y < 0 || in_pos_in_one_block.x + dilation >= input_width || in_pos_in_one_block.y >= input_height);

        input[6] = select(read_imageh(input, sampler,
                          int2(pos_in.x - dilation, pos_in.y + dilation)),
                          half4(0.0), in_pos_in_one_block.x - dilation < 0 || in_pos_in_one_block.y + dilation < 0 || in_pos_in_one_block.x - dilation >= input_width || in_pos_in_one_block.y + dilation >= input_height);

        input[7] = select(read_imageh(input, sampler,
                          int2(pos_in.x, pos_in.y + dilation)),
                          half4(0.0), in_pos_in_one_block.x < 0 || in_pos_in_one_block.y + dilation < 0 || in_pos_in_one_block.x >= input_width || in_pos_in_one_block.y + dilation >= input_height);

        input[8] = select(read_imageh(input, sampler,
                          int2(pos_in.x + dilation, pos_in.y + dilation)),
                          half4(0.0), pos_in.x + dilation < 0 || in_pos_in_one_block.y + dilation < 0 || pos_in.x + dilation >= input_width || in_pos_in_one_block.y + dilation >= input_height);


        for (int j = 0; j < 9; ++j) {

            half4 weight_x = read_imageh(filter, sampler, int2(i * 3 + j % 3, out_c * 4 * 3 + 0 * out_c * 3 + j / 3));
            output.x += dot(input[j], weight_x);

            half4 weight_y = read_imageh(filter, sampler, int2(i * 3 + j % 3, out_c * 4 * 3 + 1 * out_c * 3 + j / 3));
            output.y += dot(input[j], weight_y);

            half4 weight_z = read_imageh(filter, sampler, int2(i * 3 + j % 3, out_c * 4 * 3 + 2 * out_c * 3 + j / 3));
            output.z += dot(input[j], weight_z);

            half4 weight_w = read_imageh(filter, sampler, int2(i * 3 + j % 3, out_c * 4 * 3 + 3 * out_c * 3 + j / 3));
            output.w += dot(input[j], weight_w);

        }
    }

#if defined(RELU)
    output = activation(output);
#endif

    int2 output_pos(out_c * global_size_dim1 + out_w, out_nh);
    write_imageh(output_image, output_pos, output);
}





*/