| | |
| | | #include "crop_layer.h" |
| | | #include "cuda.h" |
| | | #include <stdio.h> |
| | | |
| | | image get_crop_image(crop_layer layer) |
| | |
| | | layer->crop_height = crop_height; |
| | | layer->output = calloc(crop_width*crop_height * c*batch, sizeof(float)); |
| | | #ifdef GPU |
| | | layer->output_cl = cl_make_array(layer->output, crop_width*crop_height*c*batch); |
| | | layer->output_gpu = cuda_make_array(layer->output, crop_width*crop_height*c*batch); |
| | | #endif |
| | | return layer; |
| | | } |
| | | |
| | | void forward_crop_layer(const crop_layer layer, float *input) |
| | | void forward_crop_layer(const crop_layer layer, int train, float *input) |
| | | { |
| | | int i,j,c,b,row,col; |
| | | int index; |
| | | int count = 0; |
| | | int flip = (layer.flip && rand()%2); |
| | | int dh = rand()%(layer.h - layer.crop_height); |
| | | int dw = rand()%(layer.w - layer.crop_width); |
| | | int dh = rand()%(layer.h - layer.crop_height + 1); |
| | | int dw = rand()%(layer.w - layer.crop_width + 1); |
| | | if(!train){ |
| | | flip = 0; |
| | | dh = (layer.h - layer.crop_height)/2; |
| | | dw = (layer.w - layer.crop_width)/2; |
| | | } |
| | | for(b = 0; b < layer.batch; ++b){ |
| | | for(c = 0; c < layer.c; ++c){ |
| | | for(i = 0; i < layer.crop_height; ++i){ |
| | |
| | | } |
| | | } |
| | | |
| | | #ifdef GPU |
| | | cl_kernel get_crop_kernel() |
| | | { |
| | | static int init = 0; |
| | | static cl_kernel kernel; |
| | | if(!init){ |
| | | kernel = get_kernel("src/crop_layer.cl", "forward", 0); |
| | | init = 1; |
| | | } |
| | | return kernel; |
| | | } |
| | | |
| | | void forward_crop_layer_gpu(crop_layer layer, cl_mem input) |
| | | { |
| | | int flip = (layer.flip && rand()%2); |
| | | int dh = rand()%(layer.h - layer.crop_height); |
| | | int dw = rand()%(layer.w - layer.crop_width); |
| | | int size = layer.batch*layer.c*layer.crop_width*layer.crop_height; |
| | | |
| | | cl_kernel kernel = get_crop_kernel(); |
| | | cl_command_queue queue = cl.queue; |
| | | |
| | | cl_uint i = 0; |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(input), (void*) &input); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(layer.c), (void*) &layer.c); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(layer.h), (void*) &layer.h); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(layer.w), (void*) &layer.w); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(layer.crop_height), (void*) &layer.crop_height); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(layer.crop_width), (void*) &layer.crop_width); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(dh), (void*) &dh); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(dw), (void*) &dw); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(flip), (void*) &flip); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(layer.output_cl), (void*) &layer.output_cl); |
| | | check_error(cl); |
| | | |
| | | const size_t global_size[] = {size}; |
| | | |
| | | cl.error = clEnqueueNDRangeKernel(queue, kernel, 1, 0, global_size, 0, 0, 0, 0); |
| | | check_error(cl); |
| | | } |
| | | |
| | | #endif |