extern "C" {
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#include "crop_layer.h"
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#include "cuda.h"
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}
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#define BLOCK 256
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__global__ void forward_crop_layer_kernel(float *input, int size, int c, int h, int w, int crop_height, int crop_width, int dh, int dw, int flip, float *output)
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{
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int id = (blockIdx.x + blockIdx.y*gridDim.x) * blockDim.x + threadIdx.x;
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if(id >= size) return;
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int count = id;
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int j = id % crop_width;
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id /= crop_width;
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int i = id % crop_height;
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id /= crop_height;
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int k = id % c;
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id /= c;
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int b = id;
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int col = (flip) ? w - dw - j - 1 : j + dw;
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int row = i + dh;
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int index = col+w*(row+h*(k + c*b));
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output[count] = input[index];
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}
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extern "C" void forward_crop_layer_gpu(crop_layer layer, int train, float *input)
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{
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int flip = (layer.flip && rand()%2);
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int dh = rand()%(layer.h - layer.crop_height + 1);
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int dw = rand()%(layer.w - layer.crop_width + 1);
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if(!train){
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flip = 0;
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dh = (layer.h - layer.crop_height)/2;
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dw = (layer.w - layer.crop_width)/2;
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}
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int size = layer.batch*layer.c*layer.crop_width*layer.crop_height;
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dim3 dimBlock(BLOCK, 1, 1);
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dim3 dimGrid((size-1)/BLOCK + 1, 1, 1);
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forward_crop_layer_kernel<<<cuda_gridsize(size), BLOCK>>>(input, size, layer.c, layer.h, layer.w,
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layer.crop_height, layer.crop_width, dh, dw, flip, layer.output_gpu);
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check_error(cudaPeekAtLastError());
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}
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