帮我用verilog代码设计一个卷积核尺寸为3*3，步长为2，输入图像尺寸为224*224，输出特征图尺寸为112*112，输入通道数为3，输出通道数为32的卷积层加速器

以下是一个简单的Verilog代码实现:

module convolution_layer(
input clk,
input rst,
input [7:0] img_data_i,
output [7:0] feature_map_o
);

parameter IMG_SIZE = 224;
parameter IMG_CH = 3;
parameter KERNEL_SIZE = 3;
parameter STRIDE = 2;
parameter FEATURE_SIZE = 112;
parameter FEATURE_CH = 32;

reg [IMG_CH*8-1:0] img_buf [0:IMG_SIZE-1][0:IMG_SIZE-1];
reg [8*FEATURE_CH-1:0] feature_map_buf [0:FEATURE_SIZE-1][0:FEATURE_SIZE-1];
reg [IMG_CH*KERNEL_SIZE*KERNEL_SIZE*8-1:0] weight_buf [0:FEATURE_CH-1];

reg [2:0] loop_cnt = 0;
reg [1:0] row_cnt = 0;
reg [1:0] col_cnt = 0;
reg end_flag = 0;
wire [7:0] pixel_i1;
wire [7:0] pixel_i2;
wire [7:0] pixel_i3;
wire [IMG_CH*8-1:0] kernel_i;
wire signed [IMG_CH*8-1:0] img_pixel;

// 初始化权重
initial begin
// 省略权重初始化，用随机函数或者读入文件的方式都可
end

// 图像输入、特征图输出端口
assign pixel_i1 = img_data_i;
assign pixel_i2 = img_buf[row_cnt*STRIDE][col_cnt*STRIDE+1];
assign pixel_i3 = img_buf[row_cnt*STRIDE][col_cnt*STRIDE+2];
assign feature_map_o = feature_map_buf[row_cnt][col_cnt];

always @(posedge clk) begin
if(rst) begin
loop_cnt <= 0;
row_cnt <= 0;
col_cnt <= 0;
end_flag <= 0;
end
else if(end_flag) begin
loop_cnt <= loop_cnt;
row_cnt <= row_cnt;
col_cnt <= col_cnt;
end_flag <= end_flag;
end
else if(loop_cnt == FEATURE_CH-1 && row_cnt == FEATURE_SIZE-1 && col_cnt == FEATURE_SIZE-1) begin
end_flag <= 1;
end
else begin
end_flag <= 0;
img_pixel <= {img_buf[row_cnt*STRIDE][col_cnt*STRIDE+2], img_buf[row_cnt*STRIDE][col_cnt*STRIDE+1], img_data_i};
kernel_i <= {weight_buf[loop_cnt], weight_buf[loop_cnt+FEATURE_CH], weight_buf[loop_cnt+2*FEATURE_CH]};
img_buf[row_cnt*STRIDE][col_cnt*STRIDE] <= img_buf[row_cnt*STRIDE][col_cnt*STRIDE+2];
img_buf[row_cnt*STRIDE][col_cnt*STRIDE+1] <= img_data_i;
img_buf[row_cnt*STRIDE][col_cnt*STRIDE+2] <= pixel_i1;
feature_map_buf[row_cnt][col_cnt] <= feature_map_buf[row_cnt][col_cnt] + kernel_i * img_pixel;
if(col_cnt == FEATURE_SIZE-2) begin
if(row_cnt == FEATURE_SIZE-2) begin
row_cnt <= 0;
col_cnt <= 0;
loop_cnt <= loop_cnt+1;
end
else begin
row_cnt <= row_cnt+1;
col_cnt <= 0;
end
end
else begin
col_cnt <= col_cnt+1;
end
end
end

endmodule

这只是卷积层的核心部分，还需要加入一些控制逻辑和数据路径以实现完整的卷积层加速器。