From 787d5345609459f21fd65d2d8b4fcd55201e21a1 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Mon, 13 Oct 2014 07:31:10 +0000
Subject: [PATCH] Convolutional working on GPU
---
src/axpy.c | 114 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++-
1 files changed, 112 insertions(+), 2 deletions(-)
diff --git a/src/axpy.c b/src/axpy.c
index 750f47e..c4ec1eb 100644
--- a/src/axpy.c
+++ b/src/axpy.c
@@ -1,14 +1,124 @@
#include "mini_blas.h"
-void axpy_cpu(int N, float ALPHA, float *X, int INCX, float *Y, int INCY)
+inline void axpy_cpu(int N, float ALPHA, float *X, int INCX, float *Y, int INCY)
{
int i;
for(i = 0; i < N; ++i) Y[i*INCY] += ALPHA*X[i*INCX];
}
-void scal_cpu(int N, float ALPHA, float *X, int INCX)
+inline void scal_cpu(int N, float ALPHA, float *X, int INCX)
{
int i;
for(i = 0; i < N; ++i) X[i*INCX] *= ALPHA;
}
+inline void copy_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];
+}
+
+inline float dot_cpu(int N, float *X, int INCX, float *Y, int INCY)
+{
+ int i;
+ float dot = 0;
+ for(i = 0; i < N; ++i) dot += X[i*INCX] * Y[i*INCY];
+ return dot;
+}
+
+#ifdef GPU
+#include "opencl.h"
+
+cl_kernel get_axpy_kernel()
+{
+ static int init = 0;
+ static cl_kernel kernel;
+ if(!init){
+ kernel = get_kernel("src/axpy.cl", "axpy", 0);
+ init = 1;
+ }
+ return kernel;
+}
+
+cl_kernel get_copy_kernel()
+{
+ static int init = 0;
+ static cl_kernel kernel;
+ if(!init){
+ kernel = get_kernel("src/axpy.cl", "copy", 0);
+ init = 1;
+ }
+ return kernel;
+}
+
+cl_kernel get_scal_kernel()
+{
+ static int init = 0;
+ static cl_kernel kernel;
+ if(!init){
+ kernel = get_kernel("src/axpy.cl", "scal", 0);
+ init = 1;
+ }
+ return kernel;
+}
+
+
+void axpy_ongpu(int N, float ALPHA, cl_mem X, int INCX, cl_mem Y, int INCY)
+{
+ cl_setup();
+ cl_kernel kernel = get_axpy_kernel();
+ cl_command_queue queue = cl.queue;
+
+ cl_uint i = 0;
+ cl.error = clSetKernelArg(kernel, i++, sizeof(N), (void*) &N);
+ cl.error = clSetKernelArg(kernel, i++, sizeof(ALPHA), (void*) &ALPHA);
+ cl.error = clSetKernelArg(kernel, i++, sizeof(X), (void*) &X);
+ cl.error = clSetKernelArg(kernel, i++, sizeof(INCX), (void*) &INCX);
+ cl.error = clSetKernelArg(kernel, i++, sizeof(Y), (void*) &Y);
+ cl.error = clSetKernelArg(kernel, i++, sizeof(INCY), (void*) &INCY);
+ check_error(cl);
+
+ const size_t global_size[] = {N};
+
+ clEnqueueNDRangeKernel(queue, kernel, 1, 0, global_size, 0, 0, 0, 0);
+ check_error(cl);
+
+}
+void copy_ongpu(int N, cl_mem X, int INCX, cl_mem Y, int INCY)
+{
+ cl_setup();
+ cl_kernel kernel = get_copy_kernel();
+ cl_command_queue queue = cl.queue;
+
+ cl_uint i = 0;
+ cl.error = clSetKernelArg(kernel, i++, sizeof(N), (void*) &N);
+ cl.error = clSetKernelArg(kernel, i++, sizeof(X), (void*) &X);
+ cl.error = clSetKernelArg(kernel, i++, sizeof(INCX), (void*) &INCX);
+ cl.error = clSetKernelArg(kernel, i++, sizeof(Y), (void*) &Y);
+ cl.error = clSetKernelArg(kernel, i++, sizeof(INCY), (void*) &INCY);
+ check_error(cl);
+
+ const size_t global_size[] = {N};
+
+ clEnqueueNDRangeKernel(queue, kernel, 1, 0, global_size, 0, 0, 0, 0);
+ check_error(cl);
+}
+void scal_ongpu(int N, float ALPHA, cl_mem X, int INCX)
+{
+ cl_setup();
+ cl_kernel kernel = get_scal_kernel();
+ cl_command_queue queue = cl.queue;
+
+ cl_uint i = 0;
+ cl.error = clSetKernelArg(kernel, i++, sizeof(N), (void*) &N);
+ cl.error = clSetKernelArg(kernel, i++, sizeof(ALPHA), (void*) &ALPHA);
+ cl.error = clSetKernelArg(kernel, i++, sizeof(X), (void*) &X);
+ cl.error = clSetKernelArg(kernel, i++, sizeof(INCX), (void*) &INCX);
+ check_error(cl);
+
+ const size_t global_size[] = {N};
+
+ clEnqueueNDRangeKernel(queue, kernel, 1, 0, global_size, 0, 0, 0, 0);
+ check_error(cl);
+}
+#endif
--
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