From cb1f33c6ae840e8dc0f43518daf76e6ed01034f0 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Mon, 08 Dec 2014 19:48:57 +0000
Subject: [PATCH] Fixed race condition in server
---
src/parser.c | 50 +++++++++++---------------------------------------
1 files changed, 11 insertions(+), 39 deletions(-)
diff --git a/src/parser.c b/src/parser.c
index 9bd2eb7..2069753 100644
--- a/src/parser.c
+++ b/src/parser.c
@@ -67,7 +67,6 @@
convolutional_layer *parse_convolutional(list *options, network *net, int count)
{
- int i;
int h,w,c;
float learning_rate, momentum, decay;
int n = option_find_int(options, "filters",1);
@@ -98,34 +97,19 @@
if(h == 0) error("Layer before convolutional layer must output image.");
}
convolutional_layer *layer = make_convolutional_layer(net->batch,h,w,c,n,size,stride,pad,activation,learning_rate,momentum,decay);
- char *data = option_find_str(options, "data", 0);
- if(data){
- char *curr = data;
- char *next = data;
- for(i = 0; i < n; ++i){
- while(*++next !='\0' && *next != ',');
- *next = '\0';
- sscanf(curr, "%g", &layer->biases[i]);
- curr = next+1;
- }
- for(i = 0; i < c*n*size*size; ++i){
- while(*++next !='\0' && *next != ',');
- *next = '\0';
- sscanf(curr, "%g", &layer->filters[i]);
- curr = next+1;
- }
- }
char *weights = option_find_str(options, "weights", 0);
char *biases = option_find_str(options, "biases", 0);
- parse_data(biases, layer->biases, n);
parse_data(weights, layer->filters, c*n*size*size);
+ parse_data(biases, layer->biases, n);
+ #ifdef GPU
+ push_convolutional_layer(*layer);
+ #endif
option_unused(options);
return layer;
}
connected_layer *parse_connected(list *options, network *net, int count)
{
- int i;
int input;
float learning_rate, momentum, decay;
int output = option_find_int(options, "output",1);
@@ -147,27 +131,13 @@
input = get_network_output_size_layer(*net, count-1);
}
connected_layer *layer = make_connected_layer(net->batch, input, output, activation,learning_rate,momentum,decay);
- char *data = option_find_str(options, "data", 0);
- if(data){
- char *curr = data;
- char *next = data;
- for(i = 0; i < output; ++i){
- while(*++next !='\0' && *next != ',');
- *next = '\0';
- sscanf(curr, "%g", &layer->biases[i]);
- curr = next+1;
- }
- for(i = 0; i < input*output; ++i){
- while(*++next !='\0' && *next != ',');
- *next = '\0';
- sscanf(curr, "%g", &layer->weights[i]);
- curr = next+1;
- }
- }
char *weights = option_find_str(options, "weights", 0);
char *biases = option_find_str(options, "biases", 0);
parse_data(biases, layer->biases, output);
parse_data(weights, layer->weights, input*output);
+ #ifdef GPU
+ push_connected_layer(*layer);
+ #endif
option_unused(options);
return layer;
}
@@ -195,7 +165,9 @@
}else{
input = get_network_output_size_layer(*net, count-1);
}
- cost_layer *layer = make_cost_layer(net->batch, input);
+ char *type_s = option_find_str(options, "type", "sse");
+ COST_TYPE type = get_cost_type(type_s);
+ cost_layer *layer = make_cost_layer(net->batch, input, type);
option_unused(options);
return layer;
}
@@ -595,7 +567,7 @@
void print_cost_cfg(FILE *fp, cost_layer *l, network net, int count)
{
- fprintf(fp, "[cost]\n");
+ fprintf(fp, "[cost]\ntype=%s\n", get_cost_string(l->type));
if(count == 0) fprintf(fp, "batch=%d\ninput=%d\n", l->batch, l->inputs);
fprintf(fp, "\n");
}
--
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