hello_class = class_create(THIS_MODULE, classname); if(IS_ERR(hello_class)) { printk("Failed at class_create().Please exec [mknod] before operate the device/n"); } else { device_create(hello_class, NULL, devnum,NULL, devicename); } open_count = 0; langtype = english; inbuffer ...
hello_class = class_create(THIS_MODULE, classname); if(IS_ERR(hello_class)) { printk("Failed at class_create().Please exec [mknod] before operate the device/n"); } else { device_create(hello_class, NULL, devnum,NULL, devicename); } open_count = 0; langtype = english; inbuffer ...
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(一)解析:class_create函数和class_destroy函数 创建一个类 和 删除一个类。 (二)class_create函数原型 struct class *class_create(struct module *owner, const char *name); 1. 查看函数注释: / * * 创建一个struct类结构 * @owner:指向“拥有”这个struct类的模块的指针 * @name:指向该类名称的字符串...
ptusysClass = class_create(THIS_MODULE, CLASS_NAME); to ptusysClass = class_create(CLASS_NAME); Translate 1 Kudo Copy link Reply yuzhang3_intel Moderator 06-15-2024 09:06 PM 4,585 Views There is one discussion of a similar issue, and bug fixes are posted in the f...
*/ #define class_create(owner, name) \ ({ \ static struct lock_class_key __key; \ __class_create(owner, name, &__key); \ }) owner:一个struct module结构体类型的指针,指向函数__class_create()即将创建的、“拥有”这个struct class的模块。一般赋值为THIS_MODULE,此结构体的详细定义见文件in...
这意味着class_create函数接受一个const char*类型的参数(即类名),并返回一个指向struct class的指针。 检查调用‘class_create’函数时传递的第一个实际参数的类型: 错误日志中显示调用class_create的代码行是: c hwsim_class = class_create(THIS_MODULE, "mac80211_hwsim"); 这里THIS_MODULE是一个宏,展开...
class_create(…)在/drivers/base/class.c中实现: /** * class_create - create a struct class structure * @owner: pointer to the module that is to "own" this struct class * @name: pointer to a string for the name of this class. ...
ClassifHandle(output_control)class_box→(integer) Handle of the classifier. create_class_boxreturns 2 (H_MSG_TRUE) if the parameter is correct. An exception is raised if a classifier with this name already exists or there is not enough memory. ...
NumComponents is ignored in this case. For all other values of Preprocessing, the training data set is used to compute a transformation of the feature vectors during the training as well as later in the classification or evaluation. For Preprocessing = 'normalization', the feature vectors are ...