| | |
| | | #include "blas.h" |
| | | #include "math.h" |
| | | #include <assert.h> |
| | | #include <float.h> |
| | | #include <stdio.h> |
| | | #include <stdlib.h> |
| | | #include <string.h> |
| | | |
| | | void shortcut_cpu(float *out, int w, int h, int c, int batch, int sample, float *add, int stride, int c2) |
| | | void reorg(float *x, int size, int layers, int batch, int forward) |
| | | { |
| | | float *swap = calloc(size*layers*batch, sizeof(float)); |
| | | int i,c,b; |
| | | for(b = 0; b < batch; ++b){ |
| | | for(c = 0; c < layers; ++c){ |
| | | for(i = 0; i < size; ++i){ |
| | | int i1 = b*layers*size + c*size + i; |
| | | int i2 = b*layers*size + i*layers + c; |
| | | if (forward) swap[i2] = x[i1]; |
| | | else swap[i1] = x[i2]; |
| | | } |
| | | } |
| | | } |
| | | memcpy(x, swap, size*layers*batch*sizeof(float)); |
| | | free(swap); |
| | | } |
| | | |
| | | void weighted_sum_cpu(float *a, float *b, float *s, int n, float *c) |
| | | { |
| | | int i; |
| | | for(i = 0; i < n; ++i){ |
| | | c[i] = s[i]*a[i] + (1-s[i])*(b ? b[i] : 0); |
| | | } |
| | | } |
| | | |
| | | void shortcut_cpu(int batch, int w1, int h1, int c1, float *add, int w2, int h2, int c2, float *out) |
| | | { |
| | | int stride = w1/w2; |
| | | int sample = w2/w1; |
| | | assert(stride == h1/h2); |
| | | assert(sample == h2/h1); |
| | | if(stride < 1) stride = 1; |
| | | if(sample < 1) sample = 1; |
| | | int minw = (w1 < w2) ? w1 : w2; |
| | | int minh = (h1 < h2) ? h1 : h2; |
| | | int minc = (c1 < c2) ? c1 : c2; |
| | | |
| | | int i,j,k,b; |
| | | for(b = 0; b < batch; ++b){ |
| | | for(k = 0; k < c && k < c2; ++k){ |
| | | for(j = 0; j < h/sample; ++j){ |
| | | for(i = 0; i < w/sample; ++i){ |
| | | int out_index = i*sample + w*(j*sample + h*(k + c*b)); |
| | | int add_index = b*w*stride/sample*h*stride/sample*c2 + i*stride + w*stride/sample*(j*stride + h*stride/sample*k); |
| | | for(k = 0; k < minc; ++k){ |
| | | for(j = 0; j < minh; ++j){ |
| | | for(i = 0; i < minw; ++i){ |
| | | int out_index = i*sample + w2*(j*sample + h2*(k + c2*b)); |
| | | int add_index = i*stride + w1*(j*stride + h1*(k + c1*b)); |
| | | out[out_index] += add[add_index]; |
| | | } |
| | | } |
| | |
| | | |
| | | void variance_cpu(float *x, float *mean, int batch, int filters, int spatial, float *variance) |
| | | { |
| | | float scale = 1./(batch * spatial); |
| | | float scale = 1./(batch * spatial - 1); |
| | | int i,j,k; |
| | | for(i = 0; i < filters; ++i){ |
| | | variance[i] = 0; |
| | |
| | | for(f = 0; f < filters; ++f){ |
| | | for(i = 0; i < spatial; ++i){ |
| | | int index = b*filters*spatial + f*spatial + i; |
| | | x[index] = (x[index] - mean[f])/(sqrt(variance[f])); |
| | | x[index] = (x[index] - mean[f])/(sqrt(variance[f]) + .000001f); |
| | | } |
| | | } |
| | | } |
| | |
| | | for(i = 0; i < N; ++i) Y[i*INCY] = X[i*INCX]; |
| | | } |
| | | |
| | | void smooth_l1_cpu(int n, float *pred, float *truth, float *delta, float *error) |
| | | { |
| | | int i; |
| | | for(i = 0; i < n; ++i){ |
| | | float diff = truth[i] - pred[i]; |
| | | float abs_val = fabs(diff); |
| | | if(abs_val < 1) { |
| | | error[i] = diff * diff; |
| | | delta[i] = diff; |
| | | } |
| | | else { |
| | | error[i] = 2*abs_val - 1; |
| | | delta[i] = (diff < 0) ? -1 : 1; |
| | | } |
| | | } |
| | | } |
| | | |
| | | void l2_cpu(int n, float *pred, float *truth, float *delta, float *error) |
| | | { |
| | | int i; |
| | | for(i = 0; i < n; ++i){ |
| | | float diff = truth[i] - pred[i]; |
| | | error[i] = diff * diff; |
| | | delta[i] = diff; |
| | | } |
| | | } |
| | | |
| | | float dot_cpu(int N, float *X, int INCX, float *Y, int INCY) |
| | | { |
| | | int i; |
| | |
| | | return dot; |
| | | } |
| | | |
| | | void softmax(float *input, int n, float temp, float *output) |
| | | { |
| | | int i; |
| | | float sum = 0; |
| | | float largest = -FLT_MAX; |
| | | for(i = 0; i < n; ++i){ |
| | | if(input[i] > largest) largest = input[i]; |
| | | } |
| | | for(i = 0; i < n; ++i){ |
| | | sum += exp(input[i]/temp-largest/temp); |
| | | } |
| | | if(sum) sum = largest/temp+log(sum); |
| | | else sum = largest-100; |
| | | for(i = 0; i < n; ++i){ |
| | | output[i] = exp(input[i]/temp-sum); |
| | | } |
| | | } |
| | | |