From 168af40fe9a3cc81c6ee16b3e81f154780c36bdb Mon Sep 17 00:00:00 2001
From: Scheaven <xuepengqiang>
Date: 星期四, 03 六月 2021 15:03:27 +0800
Subject: [PATCH] up new v4
---
lib/detecter_tools/darknet/reorg_old_layer.c | 238 +++++++++++++++++++++++++++++-----------------------------
1 files changed, 119 insertions(+), 119 deletions(-)
diff --git a/lib/detecter_tools/darknet/reorg_old_layer.c b/lib/detecter_tools/darknet/reorg_old_layer.c
index b09fbf6..cb715e6 100644
--- a/lib/detecter_tools/darknet/reorg_old_layer.c
+++ b/lib/detecter_tools/darknet/reorg_old_layer.c
@@ -1,119 +1,119 @@
-#include "reorg_old_layer.h"
-#include "utils.h"
-#include "dark_cuda.h"
-#include "blas.h"
-#include <stdio.h>
-
-
-layer make_reorg_old_layer(int batch, int w, int h, int c, int stride, int reverse)
-{
- layer l = { (LAYER_TYPE)0 };
- l.type = REORG_OLD;
- l.batch = batch;
- l.stride = stride;
- l.h = h;
- l.w = w;
- l.c = c;
- if(reverse){
- l.out_w = w*stride;
- l.out_h = h*stride;
- l.out_c = c/(stride*stride);
- }else{
- l.out_w = w/stride;
- l.out_h = h/stride;
- l.out_c = c*(stride*stride);
- }
- l.reverse = reverse;
- fprintf(stderr, "reorg_old /%2d %4d x%4d x%4d -> %4d x%4d x%4d\n", stride, w, h, c, l.out_w, l.out_h, l.out_c);
- l.outputs = l.out_h * l.out_w * l.out_c;
- l.inputs = h*w*c;
- int output_size = l.out_h * l.out_w * l.out_c * batch;
- l.output = (float*)xcalloc(output_size, sizeof(float));
- l.delta = (float*)xcalloc(output_size, sizeof(float));
-
- l.forward = forward_reorg_old_layer;
- l.backward = backward_reorg_old_layer;
-#ifdef GPU
- l.forward_gpu = forward_reorg_old_layer_gpu;
- l.backward_gpu = backward_reorg_old_layer_gpu;
-
- l.output_gpu = cuda_make_array(l.output, output_size);
- l.delta_gpu = cuda_make_array(l.delta, output_size);
-#endif
- return l;
-}
-
-void resize_reorg_old_layer(layer *l, int w, int h)
-{
- int stride = l->stride;
- int c = l->c;
-
- l->h = h;
- l->w = w;
-
- if(l->reverse){
- l->out_w = w*stride;
- l->out_h = h*stride;
- l->out_c = c/(stride*stride);
- }else{
- l->out_w = w/stride;
- l->out_h = h/stride;
- l->out_c = c*(stride*stride);
- }
-
- l->outputs = l->out_h * l->out_w * l->out_c;
- l->inputs = l->outputs;
- int output_size = l->outputs * l->batch;
-
- l->output = (float*)xrealloc(l->output, output_size * sizeof(float));
- l->delta = (float*)xrealloc(l->delta, output_size * sizeof(float));
-
-#ifdef GPU
- cuda_free(l->output_gpu);
- cuda_free(l->delta_gpu);
- l->output_gpu = cuda_make_array(l->output, output_size);
- l->delta_gpu = cuda_make_array(l->delta, output_size);
-#endif
-}
-
-void forward_reorg_old_layer(const layer l, network_state state)
-{
- if (l.reverse) {
- reorg_cpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 1, l.output);
- }
- else {
- reorg_cpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 0, l.output);
- }
-}
-
-void backward_reorg_old_layer(const layer l, network_state state)
-{
- if (l.reverse) {
- reorg_cpu(l.delta, l.w, l.h, l.c, l.batch, l.stride, 0, state.delta);
- }
- else {
- reorg_cpu(l.delta, l.w, l.h, l.c, l.batch, l.stride, 1, state.delta);
- }
-}
-
-#ifdef GPU
-void forward_reorg_old_layer_gpu(layer l, network_state state)
-{
- if (l.reverse) {
- reorg_ongpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 1, l.output_gpu);
- }
- else {
- reorg_ongpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 0, l.output_gpu);
- }
-}
-
-void backward_reorg_old_layer_gpu(layer l, network_state state)
-{
- if (l.reverse) {
- reorg_ongpu(l.delta_gpu, l.w, l.h, l.c, l.batch, l.stride, 0, state.delta);
- }
- else {
- reorg_ongpu(l.delta_gpu, l.w, l.h, l.c, l.batch, l.stride, 1, state.delta);
- }
-}
-#endif
+#include "reorg_old_layer.h"
+#include "utils.h"
+#include "dark_cuda.h"
+#include "blas.h"
+#include <stdio.h>
+
+
+layer make_reorg_old_layer(int batch, int w, int h, int c, int stride, int reverse)
+{
+ layer l = { (LAYER_TYPE)0 };
+ l.type = REORG_OLD;
+ l.batch = batch;
+ l.stride = stride;
+ l.h = h;
+ l.w = w;
+ l.c = c;
+ if(reverse){
+ l.out_w = w*stride;
+ l.out_h = h*stride;
+ l.out_c = c/(stride*stride);
+ }else{
+ l.out_w = w/stride;
+ l.out_h = h/stride;
+ l.out_c = c*(stride*stride);
+ }
+ l.reverse = reverse;
+ fprintf(stderr, "reorg_old /%2d %4d x%4d x%4d -> %4d x%4d x%4d\n", stride, w, h, c, l.out_w, l.out_h, l.out_c);
+ l.outputs = l.out_h * l.out_w * l.out_c;
+ l.inputs = h*w*c;
+ int output_size = l.out_h * l.out_w * l.out_c * batch;
+ l.output = (float*)xcalloc(output_size, sizeof(float));
+ l.delta = (float*)xcalloc(output_size, sizeof(float));
+
+ l.forward = forward_reorg_old_layer;
+ l.backward = backward_reorg_old_layer;
+#ifdef GPU
+ l.forward_gpu = forward_reorg_old_layer_gpu;
+ l.backward_gpu = backward_reorg_old_layer_gpu;
+
+ l.output_gpu = cuda_make_array(l.output, output_size);
+ l.delta_gpu = cuda_make_array(l.delta, output_size);
+#endif
+ return l;
+}
+
+void resize_reorg_old_layer(layer *l, int w, int h)
+{
+ int stride = l->stride;
+ int c = l->c;
+
+ l->h = h;
+ l->w = w;
+
+ if(l->reverse){
+ l->out_w = w*stride;
+ l->out_h = h*stride;
+ l->out_c = c/(stride*stride);
+ }else{
+ l->out_w = w/stride;
+ l->out_h = h/stride;
+ l->out_c = c*(stride*stride);
+ }
+
+ l->outputs = l->out_h * l->out_w * l->out_c;
+ l->inputs = l->outputs;
+ int output_size = l->outputs * l->batch;
+
+ l->output = (float*)xrealloc(l->output, output_size * sizeof(float));
+ l->delta = (float*)xrealloc(l->delta, output_size * sizeof(float));
+
+#ifdef GPU
+ cuda_free(l->output_gpu);
+ cuda_free(l->delta_gpu);
+ l->output_gpu = cuda_make_array(l->output, output_size);
+ l->delta_gpu = cuda_make_array(l->delta, output_size);
+#endif
+}
+
+void forward_reorg_old_layer(const layer l, network_state state)
+{
+ if (l.reverse) {
+ reorg_cpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 1, l.output);
+ }
+ else {
+ reorg_cpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 0, l.output);
+ }
+}
+
+void backward_reorg_old_layer(const layer l, network_state state)
+{
+ if (l.reverse) {
+ reorg_cpu(l.delta, l.w, l.h, l.c, l.batch, l.stride, 0, state.delta);
+ }
+ else {
+ reorg_cpu(l.delta, l.w, l.h, l.c, l.batch, l.stride, 1, state.delta);
+ }
+}
+
+#ifdef GPU
+void forward_reorg_old_layer_gpu(layer l, network_state state)
+{
+ if (l.reverse) {
+ reorg_ongpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 1, l.output_gpu);
+ }
+ else {
+ reorg_ongpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 0, l.output_gpu);
+ }
+}
+
+void backward_reorg_old_layer_gpu(layer l, network_state state)
+{
+ if (l.reverse) {
+ reorg_ongpu(l.delta_gpu, l.w, l.h, l.c, l.batch, l.stride, 0, state.delta);
+ }
+ else {
+ reorg_ongpu(l.delta_gpu, l.w, l.h, l.c, l.batch, l.stride, 1, state.delta);
+ }
+}
+#endif
--
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