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softmax on gpu

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This commit is contained in:
Joseph Redmon
2014-10-21 14:49:18 -07:00
parent 9b3c7136f3
commit 158bb1bee9
17 changed files with 440 additions and 97 deletions
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33
src/convolutional_layer.c
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@@ -2,6 +2,7 @@
#include "utils.h"
#include "mini_blas.h"
#include <stdio.h>
#include <time.h>
int convolutional_out_height(convolutional_layer layer)
{
@@ -341,6 +342,8 @@ void bias_output_gpu(const convolutional_layer layer)
check_error(cl);
}
//#define TIMEIT
void forward_convolutional_layer_gpu(convolutional_layer layer, cl_mem in)
{
int i;
@@ -349,10 +352,21 @@ void forward_convolutional_layer_gpu(convolutional_layer layer, cl_mem in)
int n = convolutional_out_height(layer)*
convolutional_out_width(layer);
//cl_write_array(layer.filters_cl, layer.filters, m*k);
//cl_write_array(layer.biases_cl, layer.biases, m);
bias_output_gpu(layer);
#ifdef TIMEIT
clock_t time = clock();
printf("Forward\n");
#endif
im2col_ongpu(in, layer.batch, layer.c, layer.h, layer.w, layer.size, layer.stride, layer.pad, layer.col_image_cl);
#ifdef TIMEIT
clFinish(cl.queue);
printf("Im2col %f\n", sec(clock()-time));
time = clock();
#endif
for(i = 0; i < layer.batch; ++i){
cl_mem a = layer.filters_cl;
cl_mem b = cl_sub_array(layer.col_image_cl, i*k*n, k*n);
@@ -361,8 +375,14 @@ void forward_convolutional_layer_gpu(convolutional_layer layer, cl_mem in)
clReleaseMemObject(b);
clReleaseMemObject(c);
}
#ifdef TIMEIT
clFinish(cl.queue);
printf("Gemm %f\n", sec(clock()-time));
#endif
activate_array_ongpu(layer.output_cl, m*n*layer.batch, layer.activation);
//cl_read_array(layer.output_cl, layer.output, m*n*layer.batch);
#ifdef TIMEIT
cl_read_array(layer.output_cl, layer.output, m*n*layer.batch);
#endif
}
void backward_convolutional_layer_gpu(convolutional_layer layer, cl_mem delta_cl)
@@ -408,6 +428,12 @@ void backward_convolutional_layer_gpu(convolutional_layer layer, cl_mem delta_cl
}
}
void pull_convolutional_layer(convolutional_layer layer)
{
cl_read_array(layer.filters_cl, layer.filters, layer.c*layer.n*layer.size*layer.size);
cl_read_array(layer.biases_cl, layer.biases, layer.n);
}
void update_convolutional_layer_gpu(convolutional_layer layer)
{
int size = layer.size*layer.size*layer.c*layer.n;
@@ -417,6 +443,7 @@ void update_convolutional_layer_gpu(convolutional_layer layer)
scal_ongpu(size, 1.-layer.learning_rate*layer.decay, layer.filters_cl, 1);
axpy_ongpu(size, layer.learning_rate, layer.filter_updates_cl, 1, layer.filters_cl, 1);
scal_ongpu(size, layer.momentum, layer.filter_updates_cl, 1);
pull_convolutional_layer(layer);
}