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fix error quantize_image's result type.

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fix warning printf params, in backward_network_gpu.
This commit is contained in:
none
2020-03-31 11:27:48 +09:00
parent 0e06337150
commit 07e4a7d7b6
3 changed files with 3 additions and 3 deletions
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2
include/darknet.h
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@ -960,7 +960,7 @@ LIB_API void optimize_picture(network *net, image orig, int max_layer, float sca
LIB_API void make_image_red(image im);
LIB_API image make_attention_image(int img_size, float *original_delta_cpu, float *original_input_cpu, int w, int h, int c);
LIB_API image resize_image(image im, int w, int h);
LIB_API image quantize_image(image im);
LIB_API void quantize_image(image im);
LIB_API void copy_image_from_bytes(image im, char *pdata);
LIB_API image letterbox_image(image im, int w, int h);
LIB_API void rgbgr_image(image im);

2
src/image.c
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@ -1303,7 +1303,7 @@ float bilinear_interpolate(image im, float x, float y, int c)
return val;
}
image quantize_image(image im)
void quantize_image(image im)
{
int size = im.c * im.w * im.h;
int i;

2
src/network_kernels.cu
View File

@ -246,7 +246,7 @@ void backward_network_gpu(network net, network_state state)
if (net.adversarial) {
int x_size = get_network_input_size(net)*net.batch;
printf(" x_size = %d, original_delta = %p, original_input = %p, net.learning_rate = %d \n",
x_size, original_delta, original_input, x_size, net.learning_rate);
x_size, original_delta, original_input, net.learning_rate);
axpy_ongpu(x_size, net.learning_rate, original_delta, 1, original_input, 1);
constrain_min_max_ongpu(x_size, 0, 1, original_input, 1);
}