From 1edcf73a73d2007afc61289245763f5cf0c29e10 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Thu, 04 Dec 2014 07:20:29 +0000
Subject: [PATCH] Detection good, split up col images
---
src/mini_blas.c | 184 ---------------------------------------------
1 files changed, 3 insertions(+), 181 deletions(-)
diff --git a/src/mini_blas.c b/src/mini_blas.c
index bac3e22..0c4c37b 100644
--- a/src/mini_blas.c
+++ b/src/mini_blas.c
@@ -1,4 +1,3 @@
-
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
@@ -18,98 +17,6 @@
printf("\n");
}
-void gemm(int TA, int TB, int M, int N, int K, float ALPHA,
- float *A, int lda,
- float *B, int ldb,
- float BETA,
- float *C, int ldc)
-{
- gpu_gemm( TA, TB, M, N, K, ALPHA,A,lda, B, ldb,BETA,C,ldc);
-}
-
-void im2row(float *image, int h, int w, int c, int size, int stride, float *matrix)
-{
- int i;
- int mc = c;
- int mw = (size*size);
- int mh = ((h-size)/stride+1)*((w-size)/stride+1);
- int msize = mc*mw*mh;
- for(i = 0; i < msize; ++i){
- int channel = i/(mh*mw);
- int block = (i%(mh*mw))/mw;
- int position = i%mw;
- int block_h = block/((w-size)/stride+1);
- int block_w = block%((w-size)/stride+1);
- int ph, pw, pc;
- ph = position/size+block_h;
- pw = position%size+block_w;
- pc = channel;
- matrix[i] = image[pc*h*w+ph*w+pw];
- }
-}
-void im2col(float *image, int h, int w, int c, int size, int stride, float *matrix)
-{
- int b,p;
- int blocks = ((h-size)/stride+1)*((w-size)/stride+1);
- int pixels = (size*size*c);
- for(b = 0; b < blocks; ++b){
- int block_h = b/((w-size)/stride+1);
- int block_w = b%((w-size)/stride+1);
- for(p = 0; p < pixels; ++p){
- int ph, pw, pc;
- int position = p%(size*size);
- pc = p/(size*size);
- ph = position/size+block_h;
- pw = position%size+block_w;
- matrix[b+p*blocks] = image[pc*h*w+ph*w+pw];
- }
- }
-}
-
-//From Berkeley Vision's Caffe!
-void im2col_cpu(float* data_im, const int channels,
- const int height, const int width, const int ksize, const int stride,
- float* data_col)
-{
- int c,h,w;
- int height_col = (height - ksize) / stride + 1;
- int width_col = (width - ksize) / stride + 1;
- int channels_col = channels * ksize * ksize;
- for ( c = 0; c < channels_col; ++c) {
- int w_offset = c % ksize;
- int h_offset = (c / ksize) % ksize;
- 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
- + w * stride + w_offset];
- }
- }
- }
-}
-
-void col2im_cpu(float* data_col, const int channels,
- const int height, const int width, const int ksize, const int stride,
- float* data_im)
-{
- int c,h,w;
- int height_col = (height - ksize) / stride + 1;
- int width_col = (width - ksize) / stride + 1;
- int channels_col = channels * ksize * ksize;
- for ( c = 0; c < channels_col; ++c) {
- int w_offset = c % ksize;
- int h_offset = (c / ksize) % ksize;
- int c_im = c / ksize / ksize;
- for ( h = 0; h < height_col; ++h) {
- for ( w = 0; w < width_col; ++w) {
- data_im[(c_im * height + h * stride + h_offset) * width
- + w * stride + w_offset]+= data_col[(c * height_col + h) * width_col + w];
- }
- }
- }
-}
-
float *random_matrix(int rows, int cols)
{
int i;
@@ -134,8 +41,8 @@
float *c = random_matrix(m,n);
int i;
clock_t start = clock(), end;
- for(i = 0; i<1000; ++i){
- cpu_gemm(TA,TB,m,n,k,1,a,lda,b,ldb,1,c,n);
+ for(i = 0; i<10; ++i){
+ gemm_cpu(TA,TB,m,n,k,1,a,lda,b,ldb,1,c,n);
}
end = clock();
printf("Matrix Multiplication %dx%d * %dx%d, TA=%d, TB=%d: %lf ms\n",m,k,k,n, TA, TB, (float)(end-start)/CLOCKS_PER_SEC);
@@ -146,6 +53,7 @@
void test_blas()
{
+
time_random_matrix(0,0,100,100,100);
time_random_matrix(1,0,100,100,100);
time_random_matrix(0,1,100,100,100);
@@ -155,91 +63,5 @@
time_random_matrix(1,0,1000,100,100);
time_random_matrix(0,1,1000,100,100);
time_random_matrix(1,1,1000,100,100);
-
-
}
-void time_gpu_random_matrix(int TA, int TB, int m, int k, int n)
-{
- float *a;
- if(!TA) a = random_matrix(m,k);
- else a = random_matrix(k,m);
- int lda = (!TA)?k:m;
- float *b;
- if(!TB) b = random_matrix(k,n);
- else b = random_matrix(n,k);
- int ldb = (!TB)?n:k;
-
- float *c = random_matrix(m,n);
- int i;
- clock_t start = clock(), end;
- for(i = 0; i<1000; ++i){
- gpu_gemm(TA,TB,m,n,k,1,a,lda,b,ldb,1,c,n);
- }
- end = clock();
- printf("Matrix Multiplication %dx%d * %dx%d, TA=%d, TB=%d: %lf ms\n",m,k,k,n, TA, TB, (float)(end-start)/CLOCKS_PER_SEC);
- free(a);
- free(b);
- free(c);
-}
-
-void test_gpu_accuracy(int TA, int TB, int m, int k, int n)
-{
- srand(0);
- float *a;
- if(!TA) a = random_matrix(m,k);
- else a = random_matrix(k,m);
- int lda = (!TA)?k:m;
- float *b;
- if(!TB) b = random_matrix(k,n);
- else b = random_matrix(n,k);
- int ldb = (!TB)?n:k;
-
- float *c = random_matrix(m,n);
- float *c_gpu = random_matrix(m,n);
- memset(c, 0, m*n*sizeof(float));
- memset(c_gpu, 0, m*n*sizeof(float));
- int i;
- //pm(m,k,b);
- gpu_gemm(TA,TB,m,n,k,1,a,lda,b,ldb,1,c_gpu,n);
- //pm(m, n, c_gpu);
- cpu_gemm(TA,TB,m,n,k,1,a,lda,b,ldb,1,c,n);
- //pm(m, n, c);
- double sse = 0;
- for(i = 0; i < m*n; ++i) {
- //printf("%f %f\n", c[i], c_gpu[i]);
- sse += pow(c[i]-c_gpu[i], 2);
- }
- printf("Matrix Multiplication %dx%d * %dx%d, TA=%d, TB=%d: %g MSE\n",m,k,k,n, TA, TB, sse/(m*n));
- free(a);
- free(b);
- free(c);
-}
-
-void test_gpu_blas()
-{
- test_gpu_accuracy(0,0,17,10,10);
- test_gpu_accuracy(1,0,17,10,10);
- test_gpu_accuracy(0,1,17,10,10);
- test_gpu_accuracy(1,1,17,10,10);
-
- test_gpu_accuracy(0,0,1000,10,100);
- test_gpu_accuracy(1,0,1000,10,100);
- test_gpu_accuracy(0,1,1000,10,100);
- test_gpu_accuracy(1,1,1000,10,100);
-
- time_gpu_random_matrix(0,0,1000,1000,100);
- time_random_matrix(0,0,1000,1000,100);
-
- time_gpu_random_matrix(0,1,1000,1000,100);
- time_random_matrix(0,1,1000,1000,100);
-
- time_gpu_random_matrix(1,0,1000,1000,100);
- time_random_matrix(1,0,1000,1000,100);
-
- time_gpu_random_matrix(1,1,1000,1000,100);
- time_random_matrix(1,1,1000,1000,100);
-
-}
-
-
--
Gitblit v1.10.0