组保留的标签 余下为需要删除的标签
unset($oldtag[$key]);
}
}
}
if (!empty($oldtag)) {
$tagids = array();
foreach ($oldtag as $tagid => $tagname) {
$tagids[] = $tagid;
}
well_oldtag_delete($tagids, $tid);
}
$r = well_tag_process($tid, $fid, $create_tag, $tagarr);
return $r;
}
// 删除标签和绑定的主题
function well_oldtag_delete($tagids, $tid)
{
$pagesize = count($tagids);
$arrlist = well_tag_find_by_tagids($tagids, 1, $pagesize);
$delete_tagids = array(); // 删除
$tagids = array();
$n = 0;
foreach ($arrlist as $val) {
++$n;
if (1 == $val['count']) {
// 只有一个主题
$delete_tagids[] = $val['tagid'];
} else {
$tagids[] = $val['tagid'];
}
}
!empty($delete_tagids) and well_tag_delete($delete_tagids);
$arlist = well_tag_thread_find_by_tid($tid, 1, $n);
if ($arlist) {
$ids = array();
foreach ($arlist as $val) $ids[] = $val['id'];
well_tag_thread_delete($ids);
}
!empty($tagids) and well_tag_update($tagids, array('count-' => 1));
}
// 标签数据处理 $arr=新提交的数组 $tagarr=保留的旧标签
function well_tag_process($tid, $fid, $new_tags = array(), $tagarr = array())
{
if (empty($tid)) return '';
// 新标签处理入库
if ($new_tags) {
$threadarr = array();
$tagids = array();
$i = 0;
$size = 5;
$n = count($tagarr);
$n = $n > $size ? $size : $size - $n;
foreach ($new_tags as $name) {
++$i;
$name = trim($name);
$name = stripslashes($name);
$name = strip_tags($name);
$name = str_replace(array(' ', '#', "@", "$", "%", "^", '&', '·', '<', '>', ';', '`', '~', '!', '¥', '……', ';', '?', '?', '-', '—', '_', '=', '+', '.', '{', '}', '|', ':', ':', '、', '/', '。', '[', ']', '【', '】', '‘', ' ', ' ', ' ', ' ', ' '), '', $name);
$name = htmlspecialchars($name, ENT_QUOTES);
if ($name && $i <= $n) {
// 查询标签
$read = well_tag_read_name($name);
if ($read) {
// 存在 count+1
$tagids[] = $read['tagid'];
} else {
// 入库
$arr = array('name' => $name, 'count' => 1);
$tagid = well_tag_create($arr);
FALSE === $tagid and message(-1, lang('create_failed'));
$read = array('tagid' => $tagid, 'name' => $name);
}
$tag_thread = array('tagid' => $read['tagid'], 'tid' => $tid);
$threadarr[] = $tag_thread;
$tagarr[$read['tagid']] = $read['name'];
}
}
!empty($threadarr) and tag_thread_big_insert($threadarr);
!empty($tagids) and well_tag_update($tagids, array('count+' => 1));
}
$json = empty($tagarr) ? '' : xn_json_encode($tagarr);
return $json;
}
?> $v = implode(",", $v);
$temp[] = $v;
}
// 去掉重复的字符串,也就是重复的一维数组
$temp = array_unique($temp);
// 再将拆开的数组重新组装
$output = array();
foreach ($temp as $k => $v) {
if ($stkeep) $k = $starr[$k];
if ($ndformat) {
$temparr = explode(",", $v);
foreach ($temparr as $ndkey => $ndval) $output[$k][$ndarr[$ndkey]] = $ndval;
} else $output[$k] = explode(",", $v);
}
return $output;
}
// 合并二维数组 如重复 值以第一个数组值为准
function array2_merge($array1, $array2, $key = '')
{
if (empty($array1) || empty($array2)) return NULL;
$arr = array();
foreach ($array1 as $k => $v) {
isset($v[$key]) ? $arr[$v[$key]] = array_merge($v, $array2[$k]) : $arr[] = array_merge($v, $array2[$k]);
}
return $arr;
}
/*
* 对二维数组排序 两个数组必须有一个相同的键值
* $array1 需要排序数组
* $array2 按照该数组key排序
* */
function array2_sort_key($array1, $array2, $key = '')
{
if (empty($array1) || empty($array2)) return NULL;
$arr = array();
foreach ($array2 as $k => $v) {
if (isset($v[$key]) && $v[$key] == $array1[$v[$key]][$key]) {
$arr[$v[$key]] = $array1[$v[$key]];
} else {
$arr[] = $v;
}
}
return $arr;
}
?>
GPU内存不够用怎么办?(5分钟扩充显存到32GB)编程频道|福州电脑网
GPU内存不够用怎么办?(5分钟扩充显存到32GB)
编程之家710
更新时间:2026-04-03 20:26:56
为什么需要swap?
在我使用TENSORFLOW期间,我发现我16GB内存不够用,交换 内存可以将存储空间的一部分用于内存使用。该方法在jetson xavier上实测有效。
在ubuntu上安全快速的创建永久的交换分区(SWAP)方法
开始
-
-$ df -h
This will show your file system and how much space you have left.
-
-$ sudo fallocate -l 8.0G /swapfile
Create a 8 GB of swap
-
-$ sudo chmod 600 /swapfile
Change file permissions
-
-$ sudo mkswap /swapfile
-
-$ sudo swapon /swapfile
-
-$ free -m
This will show you the swap file is on. You can also pull up the System Monitor
However this is only temporary. If you reboot, swap file is gone.
-
-$ sudo nano /etc/fstab
-
Within this file add the line “/swapfile none swap 0 0”. Do not include the quotes.
Exit and save file
-
Now you can reboot and your Swap will be activated.
-
Then you can successfully train the CIFAR-10 dataset.
Ideally you would want to create a swap partition on an attached SSD or M.2 SSD and not use any of the internal memory.
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本文标签:显存不够用内存GPUGB
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