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void gemm(int TA, int TB, int M, int N, int K, double ALPHA,
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double *A, int lda,
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double *B, int ldb,
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double BETA,
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double *C, int ldc)
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{
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// Assume TA = TB = 0, beta = 1 LULZ
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int i,j,k;
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for(i = 0; i < M; ++i){
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for(k = 0; k < K; ++k){
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for(j = 0; j < N; ++j){
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C[i*ldc+j] += ALPHA*A[i*lda+k]*B[k*ldb+j];
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}
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}
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}
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}
|
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void im2row(double *image, int h, int w, int c, int size, int stride, double *matrix)
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{
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int i;
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int mc = c;
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int mw = (size*size);
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int mh = ((h-size)/stride+1)*((w-size)/stride+1);
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int msize = mc*mw*mh;
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for(i = 0; i < msize; ++i){
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int channel = i/(mh*mw);
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int block = (i%(mh*mw))/mw;
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int position = i%mw;
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int block_h = block/((w-size)/stride+1);
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int block_w = block%((w-size)/stride+1);
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int ph, pw, pc;
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ph = position/size+block_h;
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pw = position%size+block_w;
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pc = channel;
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matrix[i] = image[pc*h*w+ph*w+pw];
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}
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}
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void im2col(double *image, int h, int w, int c, int size, int stride, double *matrix)
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{
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int b,p;
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int blocks = ((h-size)/stride+1)*((w-size)/stride+1);
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int pixels = (size*size*c);
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for(b = 0; b < blocks; ++b){
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int block_h = b/((w-size)/stride+1);
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int block_w = b%((w-size)/stride+1);
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for(p = 0; p < pixels; ++p){
|
int ph, pw, pc;
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int position = p%(size*size);
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pc = p/(size*size);
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ph = position/size+block_h;
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pw = position%size+block_w;
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matrix[b+p*blocks] = image[pc*h*w+ph*w+pw];
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}
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}
|
}
|
|
//From Berkeley Vision's Caffe!
|
void im2col_cpu(double* data_im, const int channels,
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const int height, const int width, const int ksize, const int stride,
|
double* data_col)
|
{
|
int c,h,w;
|
int height_col = (height - ksize) / stride + 1;
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int width_col = (width - ksize) / stride + 1;
|
int channels_col = channels * ksize * ksize;
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for ( c = 0; c < channels_col; ++c) {
|
int w_offset = c % ksize;
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int h_offset = (c / ksize) % ksize;
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int c_im = c / ksize / ksize;
|
for ( h = 0; h < height_col; ++h) {
|
for ( w = 0; w < width_col; ++w) {
|
data_col[(c * height_col + h) * width_col + w] =
|
data_im[(c_im * height + h * stride + h_offset) * width
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+ w * stride + w_offset];
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}
|
}
|
}
|
}
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