/* 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. */ /* conv conv_bn conv_add conv_relu conv_bn_relu conv_add_relu conv_add_bn_relu */ #include "cl_common.h" __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_image, __read_only image2d_t filter, #if defined(BIASE_CH) || defined(BIASE_ELE) __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __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 */ __private const int output_width, __private const int output_height, __private const int filter_channel, __private const int has_group) { const int out_c = get_global_id(0); const int out_w = get_global_id(1); const int out_nh = get_global_id(2); int2 output_pos = (int2)(out_c * global_size_dim1 + out_w, out_nh); if (out_c >= global_size_dim0 || out_w >= global_size_dim1 || out_nh >= global_size_dim2) { return; } int2 stride_xy; stride_xy.x = stride; stride_xy.y = stride; int2 ouput_pos_in_one_block; ouput_pos_in_one_block.x = out_w; ouput_pos_in_one_block.y = out_nh; const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; int2 in_pos_in_one_block; in_pos_in_one_block.x = ouput_pos_in_one_block.x * stride + offset; in_pos_in_one_block.y = ouput_pos_in_one_block.y * stride + offset; #ifdef BIASE_CH half4 output = read_imageh(bias, sampler, (int2)(out_c, 0)); #elif defined(BIASE_ELE) half4 output = read_imageh(bias, sampler, output_pos); #else half4 output = 0.0f; #endif half4 input[9]; if (has_group == 0) { 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_image, sampler, (int2)(pos_in.x - dilation, pos_in.y - dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[1] = select(read_imageh(input_image, sampler, (int2)(pos_in.x, pos_in.y - dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[2] = select(read_imageh(input_image, sampler, (int2)(pos_in.x + dilation, pos_in.y - dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[3] = select(read_imageh(input_image, sampler, (int2)(pos_in.x - dilation, pos_in.y)), (half4)(0.0f), (ushort4)((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) << 15)); input[4] = select(read_imageh(input_image, sampler, (int2)(pos_in.x, pos_in.y)), (half4)(0.0f), (ushort4)((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) << 15)); input[5] = select(read_imageh(input_image, sampler, (int2)(pos_in.x + dilation, pos_in.y)), (half4)(0.0f), (ushort4)((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) << 15)); input[6] = select(read_imageh(input_image, sampler, (int2)(pos_in.x - dilation, pos_in.y + dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[7] = select(read_imageh(input_image, sampler, (int2)(pos_in.x, pos_in.y + dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[8] = select(read_imageh(input_image, sampler, (int2)(pos_in.x + dilation, pos_in.y + dilation)), (half4)(0.0f), (ushort4)((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) << 15)); /* for (int j = 0; j < 9; ++j) { int2 pos_of_weight; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; half4 weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; half4 weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; half4 weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; half4 weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); } */ int j = 0; int2 pos_of_weight; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; half4 weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; half4 weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; half4 weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; half4 weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 1; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 2; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 3; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 4; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 5; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 6; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 7; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 8; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); } } else { for (int i = 0; i < 4; i++) { int used_input_channel_num = (out_c * 4 + i) * filter_channel; for (int f_c = 0; f_c < filter_channel; ++f_c) { int input_c = used_input_channel_num + f_c; int input_block = input_c / 4; int2 pos_in = (int2)(input_block * input_width + in_pos_in_one_block.x, in_pos_in_one_block.y); input[0] = select(read_imageh(input_image, sampler, (int2)(pos_in.x - dilation, pos_in.y - dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[1] = select(read_imageh(input_image, sampler, (int2)(pos_in.x, pos_in.y - dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[2] = select(read_imageh(input_image, sampler, (int2)(pos_in.x + dilation, pos_in.y - dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[3] = select(read_imageh(input_image, sampler, (int2)(pos_in.x - dilation, pos_in.y)), (half4)(0.0f), (ushort4)((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) << 15)); input[4] = select(read_imageh(input_image, sampler, (int2)(pos_in.x, pos_in.y)), (half4)(0.0f), (ushort4)((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) << 15)); input[5] = select(read_imageh(input_image, sampler, (int2)(pos_in.x + dilation, pos_in.y)), (half4)(0.0f), (ushort4)((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) << 15)); input[6] = select(read_imageh(input_image, sampler, (int2)(pos_in.x - dilation, pos_in.y + dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[7] = select(read_imageh(input_image, sampler, (int2)(pos_in.x, pos_in.y + dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[8] = select(read_imageh(input_image, sampler, (int2)(pos_in.x + dilation, pos_in.y + dilation)), (half4)(0.0f), (ushort4)((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) << 15)); half tmp_out = 0; for (int j = 0; j < 9; j++) { int2 pos_of_weight; pos_of_weight.x = (f_c / 4) * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + i * 3 + j / 3; half4 weight = read_imageh(filter, sampler, pos_of_weight); int f_c_offset = f_c % 4; half f_value; if (f_c_offset == 0) { f_value = weight.x; } else if (f_c_offset == 1) { f_value = weight.y; } else if (f_c_offset == 2) { f_value = weight.z; } else if (f_c_offset == 3) { f_value = weight.w; } int input_c_offset = input_c % 4; half input_value; if (input_c_offset == 0) { input_value = input[j].x; } else if (input_c_offset == 1) { input_value = input[j].y; } else if (input_c_offset == 2) { input_value = input[j].z; } else if (input_c_offset == 3) { input_value = input[j].w; } tmp_out += f_value * input_value; } if (i == 0) { output.x += tmp_out; } else if (i == 1) { output.y += tmp_out; } else if (i == 2) { output.z += tmp_out; } else if (i == 3) { output.w += tmp_out; } } } } #ifdef BATCH_NORM output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); #endif #ifdef RELU output = activation(output); #endif write_imageh(output_image, output_pos, output); } __kernel void depth_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, #if defined(BIASE_CH) || defined(BIASE_ELE) __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __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 */ __private const int output_width, __private const int output_height) { const int out_c = get_global_id(0); const int out_w = get_global_id(1); const int out_nh = get_global_id(2); int2 output_pos = (int2)(out_c * global_size_dim1 + out_w, out_nh); const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; const int batch_index = out_nh / output_height; const int out_nh_in_one_batch = out_nh % output_height; int2 stride_xy = (int2)(stride, stride); int2 ouput_pos_in_one_block = (int2)(out_w, out_nh_in_one_batch); int2 in_pos_in_one_block = ouput_pos_in_one_block * stride_xy + (int2)(offset, offset); #ifdef BIASE_CH half4 output = read_imageh(bias, sampler, (int2)(out_c, 0)); #elif defined(BIASE_ELE) half4 output = read_imageh(bias, sampler, output_pos); #else half4 output = 0.0f; #endif const int filter_width = 3; const int filter_height = 3; int2 pos_in_input_block = (int2)(out_c * input_width, batch_index * input_height); int2 pos_in_filter_block = (int2)(out_c * filter_width, batch_index * filter_height); int filter_x = pos_in_filter_block.x ; int filter_y = pos_in_filter_block.y ; half4 inputs[9]; inputs[0] = select(read_imageh(input, sampler, (int2)(pos_in_input_block.x + in_pos_in_one_block.x - 1, pos_in_input_block.y + in_pos_in_one_block.y - 1)), (half4)(0.0f), (ushort4)((in_pos_in_one_block.x - 1 < 0 || in_pos_in_one_block.y - 1 < 0 || in_pos_in_one_block.x - 1 >= input_width || in_pos_in_one_block.y - 1 >= input_height) << 15)); inputs[1] = select(read_imageh(input, sampler, (int2)(pos_in_input_block.x + in_pos_in_one_block.x, pos_in_input_block.y + in_pos_in_one_block.y - 1)), (half4)(0.0f), (ushort4)((in_pos_in_one_block.x < 0 || in_pos_in_one_block.y - 1 < 0 || in_pos_in_one_block.x >= input_width || in_pos_in_one_block.y - 1 >= input_height) << 15)); inputs[2] = select(read_imageh(input, sampler, (int2)(pos_in_input_block.x + in_pos_in_one_block.x + 1, pos_in_input_block.y + in_pos_in_one_block.y - 1)), (half4)(0.0f), (ushort4)((in_pos_in_one_block.x + 1 < 0 || in_pos_in_one_block.y - 1 < 0 || in_pos_in_one_block.x + 1 >= input_width || in_pos_in_one_block.y - 1 >= input_height) << 15)); inputs[3] = select(read_imageh(input, sampler, (int2)(pos_in_input_block.x + in_pos_in_one_block.x - 1, pos_in_input_block.y + in_pos_in_one_block.y)), (half4)(0.0f), (ushort4)((in_pos_in_one_block.x - 1 < 0 || in_pos_in_one_block.y < 0 || in_pos_in_one_block.x - 1 >= input_width || in_pos_in_one_block.y >= input_height) << 15)); /* if (output_pos.x == 112 && output_pos.y == 0) { half4 input1 = inputs[3]; float4 in = (float4)(input1.x, input1.y, input1.z, input1.w); printf(" input4 3 - %v4hlf \n", in); printf(" --- %d ---\n", in_pos_in_one_block.x - 1); } */ inputs[4] = select(read_imageh(input, sampler, (int2)(pos_in_input_block.x + in_pos_in_one_block.x, pos_in_input_block.y + in_pos_in_one_block.y)), (half4)(0.0f), (ushort4)((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) << 15)); inputs[5] = select(read_imageh(input, sampler, (int2)(pos_in_input_block.x + in_pos_in_one_block.x + 1, pos_in_input_block.y + in_pos_in_one_block.y)), (half4)(0.0f), (ushort4)((in_pos_in_one_block.x + 1 < 0 || in_pos_in_one_block.y < 0 || in_pos_in_one_block.x + 1 >= input_width || in_pos_in_one_block.y >= input_height) << 15)); inputs[6] = select(read_imageh(input, sampler, (int2)(pos_in_input_block.x + in_pos_in_one_block.x - 1, pos_in_input_block.y + in_pos_in_one_block.y + 1)), (half4)(0.0f), (ushort4)((in_pos_in_one_block.x - 1 < 0 || in_pos_in_one_block.y + 1 < 0 || in_pos_in_one_block.x - 1 >= input_width || in_pos_in_one_block.y + 1 >= input_height) << 15)); inputs[7] = select(read_imageh(input, sampler, (int2)(pos_in_input_block.x + in_pos_in_one_block.x, pos_in_input_block.y + in_pos_in_one_block.y + 1)), (half4)(0.0f), (ushort4)((in_pos_in_one_block.x < 0 || in_pos_in_one_block.y + 1 < 0 || in_pos_in_one_block.x >= input_width || in_pos_in_one_block.y + 1 >= input_height) << 15)); inputs[8] = select(read_imageh(input, sampler, (int2)(pos_in_input_block.x + in_pos_in_one_block.x + 1, pos_in_input_block.y + in_pos_in_one_block.y + 1)), (half4)(0.0f), (ushort4)((in_pos_in_one_block.x + 1 < 0 || in_pos_in_one_block.y + 1 < 0 || in_pos_in_one_block.x + 1 >= input_width || in_pos_in_one_block.y + 1 >= input_height) << 15)); half4 filters[9]; filters[0] = read_imageh(filter, sampler,(int2)(filter_x,filter_y)); filters[1] = read_imageh(filter, sampler,(int2)(filter_x + 1,filter_y)); filters[2] = read_imageh(filter, sampler,(int2)(filter_x + 2,filter_y)); filters[3] = read_imageh(filter, sampler,(int2)(filter_x,filter_y + 1)); filters[4] = read_imageh(filter, sampler,(int2)(filter_x + 1,filter_y + 1)); filters[5] = read_imageh(filter, sampler,(int2)(filter_x + 2,filter_y + 1)); filters[6] = read_imageh(filter, sampler,(int2)(filter_x,filter_y + 2)); filters[7] = read_imageh(filter, sampler,(int2)(filter_x + 1,filter_y + 2)); filters[8] = read_imageh(filter, sampler,(int2)(filter_x + 2,filter_y + 2)); for(int i = 0 ;i < 9 ; i++){ output += inputs[i] * filters[i]; } #ifdef BATCH_NORM output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); #endif #ifdef RELU output = activation(output); #endif /* if (output_pos.x == 112 && output_pos.y == 0) { for (int i = 0; i < 9; ++i) { half4 input1 = inputs[i]; float4 in = (float4)(input1.x, input1.y, input1.z, input1.w); printf(" input4 %d - %v4hlf \n", i, in); } float4 out = (float4)(output.x, output.y, output.z, output.w); printf(" depth wise output output4 = %v4hlf \n", out); printf(" pos_in_input_block -x %d \n ", pos_in_input_block.x); printf(" pos_in_input_block -y %d \n ", pos_in_input_block.y); printf(" in_pos_in_one_block - x %d \n", in_pos_in_one_block.x); printf(" in_pos_in_one_block - y %d \n", in_pos_in_one_block.y); } */ write_imageh(output_image, output_pos, output); } __kernel void depth_conv_3x3s1(__private const int ou_ch_blk, __private const int ou_w_blk, __private const int ou_nh, __read_only image2d_t input, __read_only image2d_t filter, #if defined(BIASE_CH) || defined(BIASE_ELE) __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __write_only image2d_t output_image, __private const int stride, __private const int pad, __private const int dilation, __private const int in_ch, __private const int in_w,/* of one block */ __private const int in_h, /* of one block */ __private const int ou_w, __private const int ou_h) { const int ou_ch_blk_id = get_global_id(0); const int ou_w_blk_id = get_global_id(1); const int ou_nh_id = get_global_id(2); const int w_blk_size = 2; const int batch_id = ou_nh_id / ou_h; int ou_col_id = ou_w_blk_id * w_blk_size; int ou_row_id = ou_nh_id % ou_h; int ou_x = mad24(ou_ch_blk_id, ou_w, ou_col_id); // input pos in one block and on batch int col_id = ou_col_id - pad; int row_id = ou_row_id - pad; const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; #ifdef BIASE_CH half4 output[2]; output[0] = read_imageh(bias, sampler, (int2)(ou_ch_blk_id, 0)); output[1] = output[0]; #elif defined(BIASE_ELE) half4 output[2]; output[0] = read_imageh(bias, sampler, (int2)(ou_x, ou_nh_id)); if (ou_col_id + 1 < ou_w) { output[1] = read_imageh(bias, sampler, (int2)(ou_x + 1, ou_nh_id)); } #else half4 output[2] = {0.0f}; #endif half4 inputs[12]; int filter_x = ou_ch_blk_id * 3; int filter_y = 0; half4 filters[9]; filters[0] = read_imageh(filter, sampler,(int2)(filter_x,filter_y)); filters[1] = read_imageh(filter, sampler,(int2)(filter_x + 1,filter_y)); filters[2] = read_imageh(filter, sampler,(int2)(filter_x + 2,filter_y)); int in_x = mad24(ou_ch_blk_id, in_w, col_id); int in_y = mad24(batch_id, in_h, row_id); int y0 = select(in_y, -1, row_id < 0 || row_id >= in_h); int x0 = select(in_x, -1, col_id < 0 || col_id >= in_w); inputs[0] = read_imageh(input, sampler, (int2)(x0, y0)); int x1 = select(in_x + 1, -1, col_id + 1 < 0 || col_id + 1 >= in_w); inputs[1] = read_imageh(input, sampler, (int2)(x1, y0)); int x2 = select(in_x + 2, -1, col_id + 2 < 0 || col_id + 2 >= in_w); inputs[2] = read_imageh(input, sampler, (int2)(x2, y0)); int x3 = select(in_x + 3, -1, col_id + 3 < 0 || col_id + 3 >= in_w); inputs[3] = read_imageh(input, sampler, (int2)(x3, y0)); output[0] = mad(inputs[0], filters[0], output[0]); output[1] = mad(inputs[1], filters[0], output[1]); output[0] = mad(inputs[1], filters[1], output[0]); output[1] = mad(inputs[2], filters[1], output[1]); output[0] = mad(inputs[2], filters[2], output[0]); output[1] = mad(inputs[3], filters[2], output[1]); filters[3] = read_imageh(filter, sampler,(int2)(filter_x,filter_y + 1)); filters[4] = read_imageh(filter, sampler,(int2)(filter_x + 1,filter_y + 1)); filters[5] = read_imageh(filter, sampler,(int2)(filter_x + 2,filter_y + 1)); int y1 = select(in_y + 1, -1, row_id + 1 < 0 || row_id + 1 >= in_h); inputs[4] = read_imageh(input, sampler, (int2)(x0, y1)); inputs[5] = read_imageh(input, sampler, (int2)(x1, y1)); inputs[6] = read_imageh(input, sampler, (int2)(x2, y1)); inputs[7] = read_imageh(input, sampler, (int2)(x3, y1)); output[0] = mad(inputs[4], filters[3], output[0]); output[1] = mad(inputs[5], filters[3], output[1]); output[0] = mad(inputs[5], filters[4], output[0]); output[1] = mad(inputs[6], filters[4], output[1]); output[0] = mad(inputs[6], filters[5], output[0]); output[1] = mad(inputs[7], filters[5], output[1]); filters[6] = read_imageh(filter, sampler,(int2)(filter_x,filter_y + 2)); filters[7] = read_imageh(filter, sampler,(int2)(filter_x + 1,filter_y + 2)); filters[8] = read_imageh(filter, sampler,(int2)(filter_x + 2,filter_y + 2)); int y2 = select(in_y + 2, -1, row_id + 2 < 0 || row_id + 2 >= in_h); inputs[8] = read_imageh(input, sampler, (int2)(x0, y2)); inputs[9] = read_imageh(input, sampler, (int2)(x1, y2)); inputs[10] = read_imageh(input, sampler, (int2)(x2, y2)); inputs[11] = read_imageh(input, sampler, (int2)(x3, y2)); output[0] = mad(inputs[8], filters[6], output[0]); output[1] = mad(inputs[9], filters[6], output[1]); output[0] = mad(inputs[9], filters[7], output[0]); output[1] = mad(inputs[10], filters[7], output[1]); output[0] = mad(inputs[10], filters[8], output[0]); output[1] = mad(inputs[11], filters[8], output[1]); #ifdef BATCH_NORM half4 scale = read_imageh(new_scale, sampler, (int2)(ou_ch_blk_id, 0)); half4 biase = read_imageh(new_biase, sampler, (int2)(ou_ch_blk_id, 0)); output[0] = mad(scale, output[0], biase); if (ou_col_id + 1 < ou_w) { output[1] = mad(scale, output[1], biase); } #endif #ifdef RELU output[0] = activation(output[0]); output[1] = activation(output[1]); #endif write_imageh(output_image, (int2)(ou_x, ou_nh_id), output[0]); if (ou_col_id + 1 < ou_w) { write_imageh(output_image, (int2)(ou_x + 1, ou_nh_id), output[1]); } } __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_image, __read_only image2d_t filter, #if defined(BIASE_CH) || defined(BIASE_ELE) __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __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 */ __private const int output_width, __private const int output_height) { const int out_c = get_global_id(0); const int out_w = get_global_id(1); const int out_nh = get_global_id(2); int2 output_pos = (int2)(out_c * global_size_dim1 + out_w, out_nh); 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); #ifdef BIASE_CH half4 output = read_imageh(bias, sampler, (int2)(out_c, 0)); #elif defined(BIASE_ELE) half4 output = read_imageh(bias, sampler, output_pos); #else half4 output = 0.0f; #endif 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); half4 input = read_imageh(input_image, sampler, pos_in); half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 3)); /* output.x = dot(input, weight0); output.y = dot(input, weight1); output.z = dot(input, weight2); output.w = dot(input, weight3); */ output = mad(input.x, weight0, output); output = mad(input.y, weight1, output); output = mad(input.z, weight2, output); output = mad(input.w, weight3, output); } #ifdef BATCH_NORM output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); #endif #ifdef RELU output = activation(output); #endif write_imageh(output_image, output_pos, output); } __kernel void conv_1x1_spl( __private const int global_size_dim0, __private const int global_size_dim1, __private const int global_size_dim2, __read_only image2d_t input_image, __read_only image2d_t filter, #if defined(BIASE_CH) || defined(BIASE_ELE) __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __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 */ __private const int output_width, __private const int output_height, __private const int old_w ) { const int out_c = get_global_id(0); const int out_w = get_global_id(1); const int out_nh = get_global_id(2); int out_w0 = out_w; int out_w1 = out_w + global_size_dim1; int out_w2 = out_w + global_size_dim1 * 2; int out_w3 = out_w + global_size_dim1 * 3; // int out_w1 = out_w + global_size_dim1; // int out_w2 = out_w + global_size_dim1 * 2; // int out_w3 = out_w + global_size_dim1 * 3; int outpos_main = mul24(out_c , old_w); int2 output_pos0 = (int2)(outpos_main + out_w0, out_nh); int2 output_pos1 = (int2)(outpos_main + out_w1, out_nh); int2 output_pos2 = (int2)(outpos_main + out_w2, out_nh); int2 output_pos3 = (int2)(outpos_main + out_w3, out_nh); const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; int2 stride_xy = (int2)(stride, stride); int2 ouput_pos_in_one_block0 = (int2)(out_w0, out_nh); int2 in_pos_in_one_block0 = ouput_pos_in_one_block0 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block1 = (int2)(out_w1, out_nh); int2 in_pos_in_one_block1 = ouput_pos_in_one_block1 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block2 = (int2)(out_w2, out_nh); int2 in_pos_in_one_block2 = ouput_pos_in_one_block2 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block3 = (int2)(out_w3, out_nh); int2 in_pos_in_one_block3 = ouput_pos_in_one_block3 * stride_xy + (int2)(offset, offset); #ifdef BIASE_CH half4 output0 = read_imageh(bias, sampler, (int2)(out_c, 0)); half4 output1 = read_imageh(bias, sampler, (int2)(out_c, 0)); half4 output2 = read_imageh(bias, sampler, (int2)(out_c, 0)); half4 output3 = read_imageh(bias, sampler, (int2)(out_c, 0)); #elif defined(BIASE_ELE) half4 output0 = read_imageh(bias, sampler, output_pos0); half4 output1 = read_imageh(bias, sampler, output_pos1); half4 output2 = read_imageh(bias, sampler, output_pos2); half4 output3 = read_imageh(bias, sampler, output_pos3); #else half4 output0 = 0.0f; half4 output1 = 0.0f; half4 output2 = 0.0f; half4 output3 = 0.0f; #endif for (int i = 0; i < input_c; ++i) { // ------------0--------------- int2 pos_in = (int2)(i * input_width + in_pos_in_one_block0.x, in_pos_in_one_block0.y); half4 input0 = read_imageh(input_image, sampler, pos_in); half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 3)); output0 = mad(input0.x, weight0, output0); output0 = mad(input0.y, weight1, output0); output0 = mad(input0.z, weight2, output0); output0 = mad(input0.w, weight3, output0); // -------------1-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block1.x, in_pos_in_one_block1.y); half4 input1 = read_imageh(input_image, sampler, pos_in); // // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output1 = mad(input1.x, weight0, output1); output1 = mad(input1.y, weight1, output1); output1 = mad(input1.z, weight2, output1); output1 = mad(input1.w, weight3, output1); // -------------2-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block2.x, in_pos_in_one_block2.y); half4 input2 = read_imageh(input_image, sampler, pos_in); // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output2 = mad(input2.x, weight0, output2); output2 = mad(input2.y, weight1, output2); output2 = mad(input2.z, weight2, output2); output2 = mad(input2.w, weight3, output2); // -------------3-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block3.x, in_pos_in_one_block3.y); half4 input3 = read_imageh(input_image, sampler, pos_in); // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output3 = mad(input3.x, weight0, output3); output3 = mad(input3.y, weight1, output3); output3 = mad(input3.z, weight2, output3); output3 = mad(input3.w, weight3, output3); } #ifdef BATCH_NORM output0 = output0 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output1 = output1 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output2 = output2 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output3 = output3 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); #endif #ifdef RELU output0 = activation(output0); output1 = activation(output1); output2 = activation(output2); output3 = activation(output3); #endif if (out_w0 < old_w) { write_imageh(output_image, output_pos0, output0); } if (out_w1 < old_w){ write_imageh(output_image, output_pos1, output1); } if (out_w2 < old_w){ write_imageh(output_image, output_pos2, output2); } if (out_w3 < old_w){ write_imageh(output_image, output_pos3, output3); } } __kernel void conv_1x1_spl2( __private const int global_size_dim0, __private const int global_size_dim1, __private const int global_size_dim2, __read_only image2d_t input_image, __read_only image2d_t filter, #ifdef BIASE __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __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 */ __private const int output_width, __private const int output_height, __private const int old_w ) { const int out_c = get_global_id(0); const int out_w = get_global_id(1); const int out_nh = get_global_id(2); int out_w0 = out_w; int out_w1 = out_w + global_size_dim1; int out_w2 = out_w + global_size_dim1 * 2; int out_w3 = out_w + global_size_dim1 * 3; int out_w4 = out_w + global_size_dim1 * 4; int out_w5 = out_w + global_size_dim1 * 5; int out_w6 = out_w + global_size_dim1 * 6; int out_w7 = out_w + global_size_dim1 * 7; // int out_w1 = out_w + global_size_dim1; // int out_w2 = out_w + global_size_dim1 * 2; // int out_w3 = out_w + global_size_dim1 * 3; const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; int2 stride_xy = (int2)(stride, stride); int2 ouput_pos_in_one_block0 = (int2)(out_w0, out_nh); int2 in_pos_in_one_block0 = ouput_pos_in_one_block0 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block1 = (int2)(out_w1, out_nh); int2 in_pos_in_one_block1 = ouput_pos_in_one_block1 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block2 = (int2)(out_w2, out_nh); int2 in_pos_in_one_block2 = ouput_pos_in_one_block2 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block3 = (int2)(out_w3, out_nh); int2 in_pos_in_one_block3 = ouput_pos_in_one_block3 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block4 = (int2)(out_w4, out_nh); int2 in_pos_in_one_block4 = ouput_pos_in_one_block4 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block5 = (int2)(out_w5, out_nh); int2 in_pos_in_one_block5 = ouput_pos_in_one_block5 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block6 = (int2)(out_w6, out_nh); int2 in_pos_in_one_block6 = ouput_pos_in_one_block6 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block7 = (int2)(out_w7, out_nh); int2 in_pos_in_one_block7 = ouput_pos_in_one_block7 * stride_xy + (int2)(offset, offset); #ifdef BIASE half4 output0 = read_imageh(bias, sampler, (int2)(out_c, 0)); half4 output1 = read_imageh(bias, sampler, (int2)(out_c, 0)); half4 output2 = read_imageh(bias, sampler, (int2)(out_c, 0)); half4 output3 = read_imageh(bias, sampler, (int2)(out_c, 0)); half4 output4 = read_imageh(bias, sampler, (int2)(out_c, 0)); half4 output5 = read_imageh(bias, sampler, (int2)(out_c, 0)); half4 output6 = read_imageh(bias, sampler, (int2)(out_c, 0)); half4 output7 = read_imageh(bias, sampler, (int2)(out_c, 0)); // half4 output0 = 0.0f; // half4 output1 = 0.0f; // half4 output2 = 0.0f; // half4 output3 = 0.0f; #else half4 output0 = 0.0f; half4 output1 = 0.0f; half4 output2 = 0.0f; half4 output3 = 0.0f; half4 output4 = 0.0f; half4 output5 = 0.0f; half4 output6 = 0.0f; half4 output7 = 0.0f; #endif for (int i = 0; i < input_c; ++i) { // ------------0--------------- int2 pos_in = (int2)(i * input_width + in_pos_in_one_block0.x, in_pos_in_one_block0.y); half4 input0 = read_imageh(input_image, sampler, pos_in); half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 3)); output0 = mad(input0.x, weight0, output0); output0 = mad(input0.y, weight1, output0); output0 = mad(input0.z, weight2, output0); output0 = mad(input0.w, weight3, output0); // -------------1-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block1.x, in_pos_in_one_block1.y); half4 input1 = read_imageh(input_image, sampler, pos_in); // // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output1 = mad(input1.x, weight0, output1); output1 = mad(input1.y, weight1, output1); output1 = mad(input1.z, weight2, output1); output1 = mad(input1.w, weight3, output1); // -------------2-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block2.x, in_pos_in_one_block2.y); half4 input2 = read_imageh(input_image, sampler, pos_in); // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output2 = mad(input2.x, weight0, output2); output2 = mad(input2.y, weight1, output2); output2 = mad(input2.z, weight2, output2); output2 = mad(input2.w, weight3, output2); // -------------3-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block3.x, in_pos_in_one_block3.y); half4 input3 = read_imageh(input_image, sampler, pos_in); // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output3 = mad(input3.x, weight0, output3); output3 = mad(input3.y, weight1, output3); output3 = mad(input3.z, weight2, output3); output3 = mad(input3.w, weight3, output3); // -------------4-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block4.x, in_pos_in_one_block4.y); half4 input4 = read_imageh(input_image, sampler, pos_in); // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output4 = mad(input4.x, weight0, output4); output4 = mad(input4.y, weight1, output4); output4 = mad(input4.z, weight2, output4); output4 = mad(input4.w, weight3, output4); // -------------5-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block5.x, in_pos_in_one_block5.y); half4 input5 = read_imageh(input_image, sampler, pos_in); // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output5= mad(input5.x, weight0, output5); output5 = mad(input5.y, weight1, output5); output5 = mad(input5.z, weight2, output5); output5 = mad(input5.w, weight3, output5); // -------------6-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block6.x, in_pos_in_one_block6.y); half4 input6 = read_imageh(input_image, sampler, pos_in); // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output6 = mad(input6.x, weight0, output6); output6 = mad(input6.y, weight1, output6); output6 = mad(input6.z, weight2, output6); output6 = mad(input6.w, weight3, output6); // -------------7-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block7.x, in_pos_in_one_block7.y); half4 input7 = read_imageh(input_image, sampler, pos_in); // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output7 = mad(input7.x, weight0, output7); output7 = mad(input7.y, weight1, output7); output7 = mad(input7.z, weight2, output7); output7 = mad(input7.w, weight3, output7); } #ifdef BATCH_NORM output0 = output0 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output1 = output1 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output2 = output2 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output3 = output3 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output4 = output4 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output5 = output5 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output6 = output6 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output7 = output7 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); #endif #ifdef RELU output0 = activation(output0); output1 = activation(output1); output2 = activation(output2); output3 = activation(output3); output4 = activation(output4); output5 = activation(output5); output6 = activation(output6); output7 = activation(output7); #endif int outpos_main = mul24(out_c , old_w); int2 output_pos0 = (int2)(outpos_main + out_w0, out_nh); if (out_w0 < old_w) { write_imageh(output_image, output_pos0, output0); } int2 output_pos1 = (int2)(outpos_main + out_w1, out_nh); if (out_w1 < old_w){ write_imageh(output_image, output_pos1, output1); } int2 output_pos2 = (int2)(outpos_main + out_w2, out_nh); if (out_w2 < old_w){ write_imageh(output_image, output_pos2, output2); } int2 output_pos3 = (int2)(outpos_main + out_w3, out_nh); if (out_w3 < old_w){ write_imageh(output_image, output_pos3, output3); } int2 output_pos4 = (int2)(outpos_main + out_w4, out_nh); if (out_w4 < old_w){ write_imageh(output_image, output_pos4, output4); } int2 output_pos5 = (int2)(outpos_main + out_w5, out_nh); if (out_w5 < old_w){ write_imageh(output_image, output_pos5, output5); } int2 output_pos6 = (int2)(outpos_main + out_w6, out_nh); if (out_w6 < old_w){ write_imageh(output_image, output_pos6, output6); } int2 output_pos7 = (int2)(outpos_main + out_w7, out_nh); if (out_w7 < old_w){ write_imageh(output_image, output_pos7, output7); } } __kernel void conv_1x1_spl3( __private const int global_size_dim0, __private const int global_size_dim1, __private const int global_size_dim2, __read_only image2d_t input_image, __read_only image2d_t filter, #ifdef BIASE __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __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 */ __private const int output_width, __private const int output_height, __private const int old_w ) { const int out_c = get_global_id(0); const int out_w = get_global_id(1); const int out_nh = get_global_id(2); int out_w0 = out_w; int out_w1 = out_w + global_size_dim1; int out_w2 = out_w + global_size_dim1 * 2; // int out_w3 = out_w + global_size_dim1 * 3; // int out_w4 = out_w + global_size_dim1 * 4; // int out_w5 = out_w + global_size_dim1 * 5; // int out_w6 = out_w + global_size_dim1 * 6; // int out_w7 = out_w + global_size_dim1 * 7; // int out_w1 = out_w + global_size_dim1; // int out_w2 = out_w + global_size_dim1 * 2; // int out_w3 = out_w + global_size_dim1 * 3; const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; int2 stride_xy = (int2)(stride, stride); int2 ouput_pos_in_one_block0 = (int2)(out_w0, out_nh); int2 in_pos_in_one_block0 = ouput_pos_in_one_block0 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block1 = (int2)(out_w1, out_nh); int2 in_pos_in_one_block1 = ouput_pos_in_one_block1 * stride_xy + (int2)(offset, offset); // int2 ouput_pos_in_one_block2 = (int2)(out_w2, out_nh); // int2 in_pos_in_one_block2 = // ouput_pos_in_one_block2 * stride_xy + (int2)(offset, offset); // // int2 ouput_pos_in_one_block3 = (int2)(out_w3, out_nh); // int2 in_pos_in_one_block3 = // ouput_pos_in_one_block3 * stride_xy + (int2)(offset, offset); // // int2 ouput_pos_in_one_block4 = (int2)(out_w4, out_nh); // int2 in_pos_in_one_block4 = // ouput_pos_in_one_block4 * stride_xy + (int2)(offset, offset); // // int2 ouput_pos_in_one_block5 = (int2)(out_w5, out_nh); // int2 in_pos_in_one_block5 = // ouput_pos_in_one_block5 * stride_xy + (int2)(offset, offset); // // int2 ouput_pos_in_one_block6 = (int2)(out_w6, out_nh); // int2 in_pos_in_one_block6 = // ouput_pos_in_one_block6 * stride_xy + (int2)(offset, offset); // // int2 ouput_pos_in_one_block7 = (int2)(out_w7, out_nh); // int2 in_pos_in_one_block7 = // ouput_pos_in_one_block7 * stride_xy + (int2)(offset, offset); #ifdef BIASE half4 output0 = read_imageh(bias, sampler, (int2)(out_c, 0)); half4 output1 = read_imageh(bias, sampler, (int2)(out_c, 0)); // half4 output2 = read_imageh(bias, sampler, (int2)(out_c, 0)); // half4 output3 = read_imageh(bias, sampler, (int2)(out_c, 0)); // half4 output4 = read_imageh(bias, sampler, (int2)(out_c, 0)); // half4 output5 = read_imageh(bias, sampler, (int2)(out_c, 0)); // half4 output6 = read_imageh(bias, sampler, (int2)(out_c, 0)); // half4 output7 = read_imageh(bias, sampler, (int2)(out_c, 0)); // half4 output0 = 0.0f; // half4 output1 = 0.0f; // half4 output2 = 0.0f; // half4 output3 = 0.0f; #else half4 output0 = 0.0f; half4 output1 = 0.0f; // half4 output2 = 0.0f; // half4 output3 = 0.0f; // half4 output4 = 0.0f; // half4 output5 = 0.0f; // half4 output6 = 0.0f; // half4 output7 = 0.0f; #endif for (int i = 0; i < input_c; ++i) { // ------------0--------------- int2 pos_in = (int2)(i * input_width + in_pos_in_one_block0.x, in_pos_in_one_block0.y); half4 input0 = read_imageh(input_image, sampler, pos_in); half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 3)); output0 = mad(input0.x, weight0, output0); output0 = mad(input0.y, weight1, output0); output0 = mad(input0.z, weight2, output0); output0 = mad(input0.w, weight3, output0); // -------------1-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block1.x, in_pos_in_one_block1.y); half4 input1 = read_imageh(input_image, sampler, pos_in); // // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output1 = mad(input1.x, weight0, output1); output1 = mad(input1.y, weight1, output1); output1 = mad(input1.z, weight2, output1); output1 = mad(input1.w, weight3, output1); // // // -------------2-------------- // pos_in = (int2)(i * input_width + in_pos_in_one_block2.x, in_pos_in_one_block2.y); // half4 input2 = read_imageh(input_image, sampler, pos_in); // // // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // // * 4 + 3)); // // output2 = mad(input2.x, weight0, output2); // output2 = mad(input2.y, weight1, output2); // output2 = mad(input2.z, weight2, output2); // output2 = mad(input2.w, weight3, output2); // // // -------------3-------------- // pos_in = (int2)(i * input_width + in_pos_in_one_block3.x, in_pos_in_one_block3.y); // half4 input3 = read_imageh(input_image, sampler, pos_in); // // // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // // * 4 + 3)); // // output3 = mad(input3.x, weight0, output3); // output3 = mad(input3.y, weight1, output3); // output3 = mad(input3.z, weight2, output3); // output3 = mad(input3.w, weight3, output3); // // // // -------------4-------------- // pos_in = (int2)(i * input_width + in_pos_in_one_block4.x, in_pos_in_one_block4.y); // half4 input4 = read_imageh(input_image, sampler, pos_in); // // // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // // * 4 + 3)); // // output4 = mad(input4.x, weight0, output4); // output4 = mad(input4.y, weight1, output4); // output4 = mad(input4.z, weight2, output4); // output4 = mad(input4.w, weight3, output4); // // // // // -------------5-------------- // pos_in = (int2)(i * input_width + in_pos_in_one_block5.x, in_pos_in_one_block5.y); // half4 input5 = read_imageh(input_image, sampler, pos_in); // // // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // // * 4 + 3)); // // output5= mad(input5.x, weight0, output5); // output5 = mad(input5.y, weight1, output5); // output5 = mad(input5.z, weight2, output5); // output5 = mad(input5.w, weight3, output5); // // // // -------------6-------------- // pos_in = (int2)(i * input_width + in_pos_in_one_block6.x, in_pos_in_one_block6.y); // half4 input6 = read_imageh(input_image, sampler, pos_in); // // // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // // * 4 + 3)); // // output6 = mad(input6.x, weight0, output6); // output6 = mad(input6.y, weight1, output6); // output6 = mad(input6.z, weight2, output6); // output6 = mad(input6.w, weight3, output6); // // // // -------------7-------------- // pos_in = (int2)(i * input_width + in_pos_in_one_block7.x, in_pos_in_one_block7.y); // half4 input7 = read_imageh(input_image, sampler, pos_in); // // // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // // * 4 + 3)); // // output7 = mad(input7.x, weight0, output7); // output7 = mad(input7.y, weight1, output7); // output7 = mad(input7.z, weight2, output7); // output7 = mad(input7.w, weight3, output7); } #ifdef BATCH_NORM output0 = output0 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output1 = output1 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); // // output2 = output2 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + // read_imageh(new_biase, sampler, (int2)(out_c, 0)); // // output3 = output3 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + // read_imageh(new_biase, sampler, (int2)(out_c, 0)); // // output4 = output4 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + // read_imageh(new_biase, sampler, (int2)(out_c, 0)); // // output5 = output5 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + // read_imageh(new_biase, sampler, (int2)(out_c, 0)); // // output6 = output6 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + // read_imageh(new_biase, sampler, (int2)(out_c, 0)); // // output7 = output7 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + // read_imageh(new_biase, sampler, (int2)(out_c, 0)); #endif #ifdef RELU output0 = activation(output0); output1 = activation(output1); // output2 = activation(output2); // output3 = activation(output3); // output4 = activation(output4); // output5 = activation(output5); // output6 = activation(output6); // output7 = activation(output7); #endif int outpos_main = mul24(out_c , old_w); int2 output_pos0 = (int2)(outpos_main + out_w0, out_nh); if (out_w0 < old_w) { write_imageh(output_image, output_pos0, output0); } int2 output_pos1 = (int2)(outpos_main + out_w1, out_nh); if (out_w1 < old_w){ write_imageh(output_image, output_pos1, output1); } // // int2 output_pos2 = (int2)(outpos_main + out_w2, out_nh); // if (out_w2 < old_w){ // write_imageh(output_image, output_pos2, output2); // } // // int2 output_pos3 = (int2)(outpos_main + out_w3, out_nh); // if (out_w3 < old_w){ // write_imageh(output_image, output_pos3, output3); // } // // int2 output_pos4 = (int2)(outpos_main + out_w4, out_nh); // if (out_w4 < old_w){ // write_imageh(output_image, output_pos4, output4); // } // // int2 output_pos5 = (int2)(outpos_main + out_w5, out_nh); // if (out_w5 < old_w){ // write_imageh(output_image, output_pos5, output5); // // } // int2 output_pos6 = (int2)(outpos_main + out_w6, out_nh); // if (out_w6 < old_w){ // write_imageh(output_image, output_pos6, output6); // } // // int2 output_pos7 = (int2)(outpos_main + out_w7, out_nh); // if (out_w7 < old_w){ // write_imageh(output_image, output_pos7, output7); // } } //__kernel void conv_1x1_c( // __private const int global_size_dim0, // __private const int global_size_dim1, // __private const int global_size_dim2, // __read_only image2d_t input_image, // __read_only image2d_t filter, //#ifdef BIASE // __read_only image2d_t bias, //#endif //#ifdef BATCH_NORM // __read_only image2d_t new_scale, // __read_only image2d_t new_biase, //#endif // __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 */ // __private const int output_width, // __private const int output_height, // __private const int old_w) { // // 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 int2 stride_xy = (int2)(stride, stride); // // for (int i = 0; i < input_c; ++i) { // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 0)); // half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 1)); // half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 2)); // half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 3)); // //#pragma unroll // for (int j = 0; j < 4; ++j) { // int out_w0 = out_w + global_size_dim1 * j; // int2 ouput_pos_in_one_block0 = (int2)(out_w0, out_nh); // int2 in_pos_in_one_block0 = ouput_pos_in_one_block0 * stride_xy + (int2)(offset, offset); // //#ifdef BIASE // half4 output0 = read_imageh(bias, sampler, (int2)(out_c, 0)); //#else // half4 output0 = 0.0f; //#endif // int2 pos_in = (int2)(i * input_width + in_pos_in_one_block0.x, in_pos_in_one_block0.y); // half4 input0 = read_imageh(input_image, sampler, pos_in); // // output0 = mad(input0.x, weight0, output0); // output0 = mad(input0.y, weight1, output0); // output0 = mad(input0.z, weight2, output0); // output0 = mad(input0.w, weight3, output0); // //#ifdef BATCH_NORM // output0 = output0 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); //#endif // //#ifdef RELU // output0 = activation(output0); //#endif // int outpos_main = mul24(out_c, old_w); // int2 output_pos0 = (int2)(outpos_main + out_w0, out_nh); // // if (out_w0 < old_w) { // write_imageh(output_image, output_pos0, output0); // } // } // } //} /* __kernel void conv_1x1_4(__private const int global_size_dim0, __private const int global_size_dim1, __private const int global_size_dim2, __read_only image2d_t input_image, __read_only image2d_t filter, #ifdef BIASE __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __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, __private const int input_height, __private const int output_width, __private const int output_height) { const int out_c = get_global_id(0) * 4; 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; 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); #ifdef BIASE half4 output0 = read_imageh(bias, sampler, (int2)(out_c, 0)); half4 output1 = read_imageh(bias, sampler, (int2)(out_c + 1, 0)); half4 output2 = read_imageh(bias, sampler, (int2)(out_c + 2, 0)); half4 output3 = read_imageh(bias, sampler, (int2)(out_c + 3, 0)); #else half4 output0 = 0.0f; half4 output1 = 0.0f; half4 output2 = 0.0f; half4 output3 = 0.0f; #endif 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); half4 input = read_imageh(input_image, sampler, pos_in); half4 weight0_0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 0)); half4 weight0_1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 1)); half4 weight0_2 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 2)); half4 weight0_3 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 3)); output0 = mad(input.x, weight0_0, output0); output0 = mad(input.y, weight0_1, output0); output0 = mad(input.z, weight0_2, output0); output0 = mad(input.w, weight0_3, output0); half4 weight1_0 = read_imageh(filter, sampler, (int2)(out_c + 1, i * 4 + 0)); half4 weight1_1 = read_imageh(filter, sampler, (int2)(out_c + 1, i * 4 + 1)); half4 weight1_2 = read_imageh(filter, sampler, (int2)(out_c + 1, i * 4 + 2)); half4 weight1_3 = read_imageh(filter, sampler, (int2)(out_c + 1, i * 4 + 3)); output1 = mad(input.x, weight1_0, output1); output1 = mad(input.y, weight1_1, output1); output1 = mad(input.z, weight1_2, output1); output1 = mad(input.w, weight1_3, output1); half4 weight2_0 = read_imageh(filter, sampler, (int2)(out_c + 2, i * 4 + 0)); half4 weight2_1 = read_imageh(filter, sampler, (int2)(out_c + 2, i * 4 + 1)); half4 weight2_2 = read_imageh(filter, sampler, (int2)(out_c + 2, i * 4 + 2)); half4 weight2_3 = read_imageh(filter, sampler, (int2)(out_c + 2, i * 4 + 3)); output2 = mad(input.x, weight2_0, output2); output2 = mad(input.y, weight2_1, output2); output2 = mad(input.z, weight2_2, output2); output2 = mad(input.w, weight2_3, output2); half4 weight3_0 = read_imageh(filter, sampler, (int2)(out_c + 3, i * 4 + 0)); half4 weight3_1 = read_imageh(filter, sampler, (int2)(out_c + 3, i * 4 + 1)); half4 weight3_2 = read_imageh(filter, sampler, (int2)(out_c + 3, i * 4 + 2)); half4 weight3_3 = read_imageh(filter, sampler, (int2)(out_c + 3, i * 4 + 3)); output3 = mad(input.x, weight3_0, output3); output3 = mad(input.y, weight3_1, output3); output3 = mad(input.z, weight3_2, output3); output3 = mad(input.w, weight3_3, output3); } #ifdef BATCH_NORM output0 = output0 * read_imageh(new_scale, sampler, (int2)(out_c + 0, 0)) + read_imageh(new_biase, sampler, (int2)(out_c + 0, 0)); output1 = output1 * read_imageh(new_scale, sampler, (int2)(out_c + 1, 0)) + read_imageh(new_biase, sampler, (int2)(out_c + 1, 0)); output2 = output2 * read_imageh(new_scale, sampler, (int2)(out_c + 2, 0)) + read_imageh(new_biase, sampler, (int2)(out_c + 2, 0)); output3 = output3 * read_imageh(new_scale, sampler, (int2)(out_c + 3, 0)) + read_imageh(new_biase, sampler, (int2)(out_c + 3, 0)); #endif #ifdef RELU output0 = activation(output0); output1 = activation(output1); output2 = activation(output2); output3 = activation(output3); #endif int2 output_pos0 = (int2)(out_c * global_size_dim1 + out_w, out_nh); write_imageh(output_image, output_pos0, output0); int2 output_pos1 = (int2)((out_c + 1) * global_size_dim1 + out_w, out_nh); write_imageh(output_image, output_pos1, output1); int2 output_pos2 = (int2)((out_c + 2) * global_size_dim1 + out_w, out_nh); write_imageh(output_image, output_pos2, output2); int2 output_pos3 = (int2)((out_c + 3) * global_size_dim1 + out_w, out_nh); write_imageh(output_image, output_pos3, output3); } */ __kernel void conv_7x7(__private const int global_size_dim0, __private const int global_size_dim1, __private const int global_size_dim2, __read_only image2d_t input_image, __read_only image2d_t filter_image, #if defined(BIASE_CH) || defined(BIASE_ELE) __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __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 */ __private const int output_width, __private const int output_height) { const int out_c = get_global_id(0); const int out_w = get_global_id(1); const int out_nh = get_global_id(2); int2 output_pos = (int2)(out_c * global_size_dim1 + out_w, out_nh); if (out_c >= global_size_dim0 || out_w >= global_size_dim1 || out_nh >= global_size_dim2) { return; } const filter_n0 = 4 * out_c + 0; const filter_n1 = 4 * out_c + 1; const filter_n2 = 4 * out_c + 2; const filter_n3 = 4 * out_c + 3; int2 stride_xy; stride_xy.x = stride; stride_xy.y = stride; int2 ouput_pos_in_one_block; ouput_pos_in_one_block.x = out_w; ouput_pos_in_one_block.y = out_nh; const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; int2 in_pos_in_one_block; in_pos_in_one_block.x = ouput_pos_in_one_block.x * stride + offset; in_pos_in_one_block.y = ouput_pos_in_one_block.y * stride + offset; #ifdef BIASE_CH half4 output = read_imageh(bias, sampler, (int2)(out_c, 0)); #elif defined(BIASE_ELE) half4 output = read_imageh(bias, sampler, output_pos); #else half4 output = 0.0f; #endif half4 input; half4 filter[4]; int2 filter_pos0; int2 filter_pos1; int2 filter_pos2; int2 filter_pos3; 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); for(int j = 0; j < 7; j++){ for(int k = 0; k < 7; k++){ input = select(read_imageh(input_image, sampler, (int2)(pos_in.x + (j - 3) * dilation, pos_in.y + (k - 3) * dilation)), (half4)(0.0f), (ushort4)((in_pos_in_one_block.x + (j - 3) * dilation < 0 || in_pos_in_one_block.y + (k - 3) * dilation < 0 || in_pos_in_one_block.x + (j - 3) * dilation >= input_width || in_pos_in_one_block.y + (k - 3) * dilation >= input_height) << 15)); int filter_h = k; int filter_w = j; int filter_c = i; filter_pos0.x = filter_c * 7 + filter_w; filter_pos0.y = filter_n0 * 7 + filter_h; filter_pos1.x = filter_c * 7 + filter_w; filter_pos1.y = filter_n1 * 7 + filter_h; filter_pos2.x = filter_c * 7 + filter_w; filter_pos2.y = filter_n2 * 7 + filter_h; filter_pos3.x = filter_c * 7 + filter_w; filter_pos3.y = filter_n3 * 7 + filter_h; filter[0] = read_imageh(filter_image, sampler, filter_pos0); filter[1] = read_imageh(filter_image, sampler, filter_pos1); filter[2] = read_imageh(filter_image, sampler, filter_pos2); filter[3] = read_imageh(filter_image, sampler, filter_pos3); output.x += dot(input, filter[0]); output.y += dot(input, filter[1]); output.z += dot(input, filter[2]); output.w += dot(input, filter[3]); } } } #ifdef BATCH_NORM output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); #endif #ifdef RELU output = activation(output); #endif write_imageh(output_image, output_pos, output); } __kernel void conv_5x5(__private const int global_size_dim0, __private const int global_size_dim1, __private const int global_size_dim2, __read_only image2d_t input_image, __read_only image2d_t filter_image, #if defined(BIASE_CH) || defined(BIASE_ELE) __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __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 */ __private const int output_width, __private const int output_height) { const int out_c = get_global_id(0); const int out_w = get_global_id(1); const int out_nh = get_global_id(2); int2 output_pos = (int2)(out_c * global_size_dim1 + out_w, out_nh); if (out_c >= global_size_dim0 || out_w >= global_size_dim1 || out_nh >= global_size_dim2) { return; } const filter_n0 = 4 * out_c + 0; const filter_n1 = 4 * out_c + 1; const filter_n2 = 4 * out_c + 2; const filter_n3 = 4 * out_c + 3; int2 stride_xy; stride_xy.x = stride; stride_xy.y = stride; int2 ouput_pos_in_one_block; ouput_pos_in_one_block.x = out_w; ouput_pos_in_one_block.y = out_nh; const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; int2 in_pos_in_one_block; in_pos_in_one_block.x = ouput_pos_in_one_block.x * stride + offset; in_pos_in_one_block.y = ouput_pos_in_one_block.y * stride + offset; #ifdef BIASE_CH half4 output = read_imageh(bias, sampler, (int2)(out_c, 0)); #elif defined(BIASE_ELE) half4 output = read_imageh(bias, sampler, output_pos); #else half4 output = 0.0f; #endif half4 input; half4 filter[4]; int2 filter_pos0; int2 filter_pos1; int2 filter_pos2; int2 filter_pos3; 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); for(int j = 0; j < 5; j++){ for(int k = 0; k < 5; k++){ input = select(read_imageh(input_image, sampler, (int2)(pos_in.x + (j - 2) * dilation, pos_in.y + (k - 2) * dilation)), (half4)(0.0f), (ushort4)((in_pos_in_one_block.x + (j - 2) * dilation < 0 || in_pos_in_one_block.y + (k - 2) * dilation < 0 || in_pos_in_one_block.x + (j - 2) * dilation >= input_width || in_pos_in_one_block.y + (k - 2) * dilation >= input_height) << 15)); int filter_h = k; int filter_w = j; int filter_c = i; filter_pos0.x = filter_c * 5 + filter_w; filter_pos0.y = filter_n0 * 5 + filter_h; filter_pos1.x = filter_c * 5 + filter_w; filter_pos1.y = filter_n1 * 5 + filter_h; filter_pos2.x = filter_c * 5 + filter_w; filter_pos2.y = filter_n2 * 5 + filter_h; filter_pos3.x = filter_c * 5 + filter_w; filter_pos3.y = filter_n3 * 5 + filter_h; filter[0] = read_imageh(filter_image, sampler, filter_pos0); filter[1] = read_imageh(filter_image, sampler, filter_pos1); filter[2] = read_imageh(filter_image, sampler, filter_pos2); filter[3] = read_imageh(filter_image, sampler, filter_pos3); output.x += dot(input, filter[0]); output.y += dot(input, filter[1]); output.z += dot(input, filter[2]); output.w += dot(input, filter[3]); } } } #ifdef BATCH_NORM output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); #endif #ifdef RELU output = activation(output); #endif write_imageh(output_image, output_pos, output); } __kernel void convBNAdd_3x3(__private const int global_size_dim0, __private const int global_size_dim1, __private const int global_size_dim2, __read_only image2d_t input_image, __read_only image2d_t filter, #if defined(BIASE_CH) || defined(BIASE_ELE) __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __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 */ __private const int output_width, __private const int output_height) { const int out_c = get_global_id(0); const int out_w = get_global_id(1); const int out_nh = get_global_id(2); int2 output_pos = (int2)(out_c * global_size_dim1 + out_w, out_nh); if (out_c >= global_size_dim0 || out_w >= global_size_dim1 || out_nh >= global_size_dim2) { return; } int2 stride_xy; stride_xy.x = stride; stride_xy.y = stride; int2 ouput_pos_in_one_block; ouput_pos_in_one_block.x = out_w; ouput_pos_in_one_block.y = out_nh; const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; int2 in_pos_in_one_block; in_pos_in_one_block.x = ouput_pos_in_one_block.x * stride + offset; in_pos_in_one_block.y = ouput_pos_in_one_block.y * stride + offset; half4 output = (half4)0.0f; 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_image, sampler, (int2)(pos_in.x - dilation, pos_in.y - dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[1] = select(read_imageh(input_image, sampler, (int2)(pos_in.x, pos_in.y - dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[2] = select(read_imageh(input_image, sampler, (int2)(pos_in.x + dilation, pos_in.y - dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[3] = select(read_imageh(input_image, sampler, (int2)(pos_in.x - dilation, pos_in.y)), (half4)(0.0f), (ushort4)((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) << 15)); input[4] = select(read_imageh(input_image, sampler, (int2)(pos_in.x, pos_in.y)), (half4)(0.0f), (ushort4)((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) << 15)); input[5] = select(read_imageh(input_image, sampler, (int2)(pos_in.x + dilation, pos_in.y)), (half4)(0.0f), (ushort4)((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) << 15)); input[6] = select(read_imageh(input_image, sampler, (int2)(pos_in.x - dilation, pos_in.y + dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[7] = select(read_imageh(input_image, sampler, (int2)(pos_in.x, pos_in.y + dilation)), (half4)(0.0f), (ushort4)((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) << 15)); input[8] = select(read_imageh(input_image, sampler, (int2)(pos_in.x + dilation, pos_in.y + dilation)), (half4)(0.0f), (ushort4)((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) << 15)); /* for (int j = 0; j < 9; ++j) { int2 pos_of_weight; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; half4 weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; half4 weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; half4 weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; half4 weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); } */ int j = 0; int2 pos_of_weight; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; half4 weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; half4 weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; half4 weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; half4 weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 1; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 2; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 3; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 4; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 5; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 6; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 7; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); j = 8; pos_of_weight.x = i * 3 + j % 3; pos_of_weight.y = out_c * 4 * 3 + 0 * 3 + j / 3; weight_x = read_imageh(filter, sampler, pos_of_weight); output.x += dot(input[j], weight_x); pos_of_weight.y = out_c * 4 * 3 + 1 * 3 + j / 3; weight_y = read_imageh(filter, sampler, pos_of_weight); output.y += dot(input[j], weight_y); pos_of_weight.y = out_c * 4 * 3 + 2 * 3 + j / 3; weight_z = read_imageh(filter, sampler, pos_of_weight); output.z += dot(input[j], weight_z); pos_of_weight.y = out_c * 4 * 3 + 3 * 3 + j / 3; weight_w = read_imageh(filter, sampler, pos_of_weight); output.w += dot(input[j], weight_w); } #ifdef BATCH_NORM output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); #endif #ifdef BIASE_CH output += read_imageh(bias, sampler, (int2)(out_c, 0)); #elif defined(BIASE_ELE) output += read_imageh(bias, sampler, output_pos); #endif #ifdef RELU output = activation(output); #endif write_imageh(output_image, output_pos, output); } __kernel void convBNAdd_1x1(__private const int global_size_dim0, __private const int global_size_dim1, __private const int global_size_dim2, __read_only image2d_t input_image, __read_only image2d_t filter, #if defined(BIASE_CH) || defined(BIASE_ELE) __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __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 */ __private const int output_width, __private const int output_height) { const int out_c = get_global_id(0); const int out_w = get_global_id(1); const int out_nh = get_global_id(2); int2 output_pos = (int2)(out_c * global_size_dim1 + out_w, out_nh); 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); half4 output = 0.0f; 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); half4 input = read_imageh(input_image, sampler, pos_in); half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 3)); /* output.x = dot(input, weight0); output.y = dot(input, weight1); output.z = dot(input, weight2); output.w = dot(input, weight3); */ output = mad(input.x, weight0, output); output = mad(input.y, weight1, output); output = mad(input.z, weight2, output); output = mad(input.w, weight3, output); } #ifdef BATCH_NORM output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); #endif #ifdef BIASE_CH output += read_imageh(bias, sampler, (int2)(out_c, 0)); #elif defined(BIASE_ELE) output += read_imageh(bias, sampler, output_pos); #endif #ifdef RELU output = activation(output); #endif write_imageh(output_image, output_pos, output); } __kernel void convBNAdd_1x1_spl( __private const int global_size_dim0, __private const int global_size_dim1, __private const int global_size_dim2, __read_only image2d_t input_image, __read_only image2d_t filter, #if defined(BIASE_CH) || defined(BIASE_ELE) __read_only image2d_t bias, #endif #ifdef BATCH_NORM __read_only image2d_t new_scale, __read_only image2d_t new_biase, #endif __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 */ __private const int output_width, __private const int output_height, __private const int old_w ) { const int out_c = get_global_id(0); const int out_w = get_global_id(1); const int out_nh = get_global_id(2); int out_w0 = out_w; int out_w1 = out_w + global_size_dim1; int out_w2 = out_w + global_size_dim1 * 2; int out_w3 = out_w + global_size_dim1 * 3; int outpos_main = mul24(out_c , old_w); int2 output_pos0 = (int2)(outpos_main + out_w0, out_nh); int2 output_pos1 = (int2)(outpos_main + out_w1, out_nh); int2 output_pos2 = (int2)(outpos_main + out_w2, out_nh); int2 output_pos3 = (int2)(outpos_main + out_w3, out_nh); const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; int2 stride_xy = (int2)(stride, stride); int2 ouput_pos_in_one_block0 = (int2)(out_w0, out_nh); int2 in_pos_in_one_block0 = ouput_pos_in_one_block0 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block1 = (int2)(out_w1, out_nh); int2 in_pos_in_one_block1 = ouput_pos_in_one_block1 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block2 = (int2)(out_w2, out_nh); int2 in_pos_in_one_block2 = ouput_pos_in_one_block2 * stride_xy + (int2)(offset, offset); int2 ouput_pos_in_one_block3 = (int2)(out_w3, out_nh); int2 in_pos_in_one_block3 = ouput_pos_in_one_block3 * stride_xy + (int2)(offset, offset); half4 output0 = 0.0f; half4 output1 = 0.0f; half4 output2 = 0.0f; half4 output3 = 0.0f; for (int i = 0; i < input_c; ++i) { // ------------0--------------- int2 pos_in = (int2)(i * input_width + in_pos_in_one_block0.x, in_pos_in_one_block0.y); half4 input0 = read_imageh(input_image, sampler, pos_in); half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + 3)); output0 = mad(input0.x, weight0, output0); output0 = mad(input0.y, weight1, output0); output0 = mad(input0.z, weight2, output0); output0 = mad(input0.w, weight3, output0); // -------------1-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block1.x, in_pos_in_one_block1.y); half4 input1 = read_imageh(input_image, sampler, pos_in); // // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output1 = mad(input1.x, weight0, output1); output1 = mad(input1.y, weight1, output1); output1 = mad(input1.z, weight2, output1); output1 = mad(input1.w, weight3, output1); // -------------2-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block2.x, in_pos_in_one_block2.y); half4 input2 = read_imageh(input_image, sampler, pos_in); // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output2 = mad(input2.x, weight0, output2); output2 = mad(input2.y, weight1, output2); output2 = mad(input2.z, weight2, output2); output2 = mad(input2.w, weight3, output2); // -------------3-------------- pos_in = (int2)(i * input_width + in_pos_in_one_block3.x, in_pos_in_one_block3.y); half4 input3 = read_imageh(input_image, sampler, pos_in); // half4 weight0 = read_imageh(filter, sampler, (int2)(out_c, i * 4 + // 0)); half4 weight1 = read_imageh(filter, sampler, (int2)(out_c, i * 4 // + 1)); half4 weight2 = read_imageh(filter, sampler, (int2)(out_c, i * // 4 + 2)); half4 weight3 = read_imageh(filter, sampler, (int2)(out_c, i // * 4 + 3)); output3 = mad(input3.x, weight0, output3); output3 = mad(input3.y, weight1, output3); output3 = mad(input3.z, weight2, output3); output3 = mad(input3.w, weight3, output3); } #ifdef BATCH_NORM output0 = output0 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output1 = output1 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output2 = output2 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); output3 = output3 * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0)); #endif #ifdef BIASE_CH output0 += read_imageh(bias, sampler, (int2)(out_c, 0)); output1 += read_imageh(bias, sampler, (int2)(out_c, 0)); output2 += read_imageh(bias, sampler, (int2)(out_c, 0)); output3 += read_imageh(bias, sampler, (int2)(out_c, 0)); #elif defined(BIASE_ELE) output0 += read_imageh(bias, sampler, output_pos0); output1 += read_imageh(bias, sampler, output_pos1); output2 += read_imageh(bias, sampler, output_pos2); output3 += read_imageh(bias, sampler, output_pos3); #endif #ifdef RELU output0 = activation(output0); output1 = activation(output1); output2 = activation(output2); output3 = activation(output3); #endif if (out_w0 < old_w) { write_imageh(output_image, output_pos0, output0); } if (out_w1 < old_w){ write_imageh(output_image, output_pos1, output1); } if (out_w2 < old_w){ write_imageh(output_image, output_pos2, output2); } if (out_w3 < old_w){ write_imageh(output_image, output_pos3, output3); } }