From afe245329bdd14f36ca773fd7d497fc628b0535a Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Wed, 10 Jun 2015 18:14:04 +0000
Subject: [PATCH] Better load messaging
---
src/convolutional_layer.h | 52 ++++++++++------------------------------------------
1 files changed, 10 insertions(+), 42 deletions(-)
diff --git a/src/convolutional_layer.h b/src/convolutional_layer.h
index 72f3f72..334759c 100644
--- a/src/convolutional_layer.h
+++ b/src/convolutional_layer.h
@@ -2,49 +2,17 @@
#define CONVOLUTIONAL_LAYER_H
#include "cuda.h"
+#include "params.h"
#include "image.h"
#include "activations.h"
+#include "layer.h"
-typedef struct {
- float learning_rate;
- float momentum;
- float decay;
-
- int batch;
- int h,w,c;
- int n;
- int size;
- int stride;
- int pad;
- float *filters;
- float *filter_updates;
-
- float *biases;
- float *bias_updates;
-
- float *col_image;
- float *delta;
- float *output;
-
- #ifdef GPU
- float * filters_gpu;
- float * filter_updates_gpu;
-
- float * biases_gpu;
- float * bias_updates_gpu;
-
- float * col_image_gpu;
- float * delta_gpu;
- float * output_gpu;
- #endif
-
- ACTIVATION activation;
-} convolutional_layer;
+typedef layer convolutional_layer;
#ifdef GPU
-void forward_convolutional_layer_gpu(convolutional_layer layer, float * in);
-void backward_convolutional_layer_gpu(convolutional_layer layer, float * in, float * delta_gpu);
-void update_convolutional_layer_gpu(convolutional_layer layer);
+void forward_convolutional_layer_gpu(convolutional_layer layer, network_state state);
+void backward_convolutional_layer_gpu(convolutional_layer layer, network_state state);
+void update_convolutional_layer_gpu(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay);
void push_convolutional_layer(convolutional_layer layer);
void pull_convolutional_layer(convolutional_layer layer);
@@ -53,13 +21,13 @@
void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size);
#endif
-convolutional_layer *make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation, float learning_rate, float momentum, float decay);
+convolutional_layer make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation);
void resize_convolutional_layer(convolutional_layer *layer, int h, int w);
-void forward_convolutional_layer(const convolutional_layer layer, float *in);
-void update_convolutional_layer(convolutional_layer layer);
+void forward_convolutional_layer(const convolutional_layer layer, network_state state);
+void update_convolutional_layer(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay);
image *visualize_convolutional_layer(convolutional_layer layer, char *window, image *prev_filters);
-void backward_convolutional_layer(convolutional_layer layer, float *in, float *delta);
+void backward_convolutional_layer(convolutional_layer layer, network_state state);
void bias_output(float *output, float *biases, int batch, int n, int size);
void backward_bias(float *bias_updates, float *delta, int batch, int n, int size);
--
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