From db0397cfaaf488364e3d2e1669dfefae2ee6ea73 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Mon, 14 Dec 2015 19:57:10 +0000
Subject: [PATCH] shortcut layers, msr networks

---
 src/blas.c |   80 ++++++++++++++++++++++++++++++++++++++++
 1 files changed, 80 insertions(+), 0 deletions(-)

diff --git a/src/blas.c b/src/blas.c
index 0f22330..941109e 100644
--- a/src/blas.c
+++ b/src/blas.c
@@ -1,4 +1,84 @@
 #include "blas.h"
+#include "math.h"
+
+void shortcut_cpu(float *out, int w, int h, int c, int batch, int sample, float *add, int stride, int 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);
+                    out[out_index] += add[add_index];
+                }
+            }
+        }
+    }
+}
+
+void mean_cpu(float *x, int batch, int filters, int spatial, float *mean)
+{
+    float scale = 1./(batch * spatial);
+    int i,j,k;
+    for(i = 0; i < filters; ++i){
+        mean[i] = 0;
+        for(j = 0; j < batch; ++j){
+            for(k = 0; k < spatial; ++k){
+                int index = j*filters*spatial + i*spatial + k;
+                mean[i] += x[index];
+            }
+        }
+        mean[i] *= scale;
+    }
+}
+
+void variance_cpu(float *x, float *mean, int batch, int filters, int spatial, float *variance)
+{
+    float scale = 1./(batch * spatial);
+    int i,j,k;
+    for(i = 0; i < filters; ++i){
+        variance[i] = 0;
+        for(j = 0; j < batch; ++j){
+            for(k = 0; k < spatial; ++k){
+                int index = j*filters*spatial + i*spatial + k;
+                variance[i] += pow((x[index] - mean[i]), 2);
+            }
+        }
+        variance[i] *= scale;
+    }
+}
+
+void normalize_cpu(float *x, float *mean, float *variance, int batch, int filters, int spatial)
+{
+    int b, f, i;
+    for(b = 0; b < batch; ++b){
+        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]));
+            }
+        }
+    }
+}
+
+void const_cpu(int N, float ALPHA, float *X, int INCX)
+{
+    int i;
+    for(i = 0; i < N; ++i) X[i*INCX] = ALPHA;
+}
+
+void mul_cpu(int N, float *X, int INCX, float *Y, int INCY)
+{
+    int i;
+    for(i = 0; i < N; ++i) Y[i*INCY] *= X[i*INCX];
+}
+
+void pow_cpu(int N, float ALPHA, float *X, int INCX, float *Y, int INCY)
+{
+    int i;
+    for(i = 0; i < N; ++i) Y[i*INCY] = pow(X[i*INCX], ALPHA);
+}
 
 void axpy_cpu(int N, float ALPHA, float *X, int INCX, float *Y, int INCY)
 {

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