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  • variables

    2018-05-26 22:04:33
    a tensorflow variable is the best way to represent shared, persistent state manipulated by your programvariables are manipulated via the tf.Variable class. a tf.Variable represents a tensor whose valu...
    a tensorflow variable is the best way to represent shared, persistent state manipulated by your program


    variables are manipulated via the tf.Variable class. a tf.Variable represents a tensor whose value can be changed by running ops on it. unlike tf.Tensor objects, a tf.Variable exists outside the context of a single session.run call


    internally, a tf.Variable stores a persistent tensor. specific ops allow you to read and modify the values of this tensor. these modifications are visible across multiple tf.Session, so multiple workers can see the same values for a tf.Variable


    the best way to create a variable is to call the tf.get_variable function. this function requires you to specify the Variable's name. this name will be used by other replicas to access the same variable, as well as to name this variable's value when checkpointing and exporting models. tf.get_variable also allows you to reuse a previously created variable of the same name, making it easy to define models which reuse layers


    note that when the initializer is a tf.Tensor you should not specify the variable's shape, as the shape of the initializer tensor will be used


    because disconnected parts of a tensorflow program might want to create variables, it is sometimes useful to have a single way to access all of them. for this reason tensorflow provides collections, which are named lists of tensors or other objects, such as tf.Variable instances


    by default every tf.Variable gets placed in the following two collections:
    (1)tf.GraphKeys.GLOBAL_VARIABLES -- variables that can be shared across multiple devices
    (2)tf.GraphKeys.TRAINABLE_VARIABLES -- variables for which tensorflow will calculate gradients


    if you don't want a variable to be trainable, add it to the tf.GraphKeys.LOCAL_VARIABLES collection instead
    ###
    my_local = tf.get_variable("my_local", shape=(),
    collections=[tf.GraphKeys.LOCAL_VARIABLES])


    alternatively, you can specify trainable=False as an argument to tf.get_variable
    ###
    my_non_trainable = tf.get_variable("my_non_trainable",
    shape=(),
    trainable=False)


    you can also use your own collections. any string is a valid collection name, and there is no need to explicitly create a collection. to add a variable (or any other object) to a collection after creating the variable, call tf.add_to_collection. for example, the following code adds an existing variable named my_local to a collection named my_collection_name
    ###
    tf.add_to_collection("my_collection_name", my_local)


    and to retrieve a list of all the variables (or other objects) you've placed in a collection you can use
    ###
    tf.get_collection("my_collection_name")


    just like any other tensorflow operation, you can place variables on particular devices


    it is particularly important for variables to be in the correct device in distributed settings. accidentally putting variables on workers instead of parameter servers, for example, can severely slow down training. for this reason we provide tf.train.replica_device_setter, which can automatically place variables in parameter servers


    before you can use a variable, it must be initialized. most high-level frameworks such as tf.contrib.slim, tf.estimator.Estimator and Keras automatically initialize variables for you before training a model


    explicit initialization is otherwise useful because it allows you not to rerun potentially expensive initializes when reloading a model from a checkpoint as well as allowing determinism when randomly-initialized variables are shared in a distributed setting


    to initalize all trainable variables in one go, before training starts, call tf.global_variables_initializer(). this function returns a single operation responsible for initializing all variables in the tf.GraphKeys.GLOBAL_VARIABLES collection. running this operation initializes all variables


    if you do need to initialize variables yourself, you can run the variable's initializer operation
    ###
    sess.run(my_variable.initializer)


    note that by default tf.global_variables_initializer does not specify the order in which variables are initialized. therefore, if the initial value of a variable depends on another variable's value, it's likely that you'll get an error. any time you use the value of a variable in a context in which not all variables are initialized(say, if you use a variable's value while initializing another variable), it is best to use variable.initialized_value() instead of variable
    ###
    v = tf.get_variable("v", shape=(), initializer=tf.zeros_initializer())
    w = tf.get_variable("w", initializer=v.initialized_value() + 1)


    to assign a value to a variable, use the methods assign, assign_add, and friends in the tf.Variable class


    because variables are mutable it's sometimes useful to know what version of a variable's value is being used at point in time. to force a re-read of the value of a variable after something has happened, you can use tf.Variable.read_value


    tensorflow supports two ways of sharing variables:
    (1) explicitly passing tf.Variable objects around
    (2) implicitly wrapping tf.Variable objects within tf.variable_scope objects


    while code which explicitly passes variables around is very clear, it is sometimes convenient to write tensorflow functions that implicitly use variables in their implementations. most of the function layers from tf.layer use this approach, as well as all tf.metrics, and a few other library utilities


    variable scopes allow you to control variable reuse when calling functions which implicitly create and use variables. they also allow you to name your variables in a hierarchical and understandable way


    def conv_relu(input, kernel_shape, bias_shape):
    weights = tf.get_variable("weights", kernel_shape, 
    initializer=tf.random_normal_initializer())
    biases = tf.get_variable("biases", bias_shape,
    initializer=tf.zeros_initializer())
    conv = tf.nn.conv2d(input, weights,
    strides=[1, 1, 1, 1], padding="SAME")
    return tf.nn.relu(conv + biases)


    input1 = tf.random_normal([1, 10, 10, 32])
    input2 = tf.random_normal([1, 20, 20, 3])
    x = conv_relu(input1, kernel_shape=[5, 5, 32, 32], bias_shape=[32])
    x = conv_relu(input2, kernel_shape=[3, 3, 3, 1], bias_shape=[1])
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  • Variables

    2013-04-01 20:30:43
    Variables One of the most basic concepts in computer programming is the variable. A variable is a word/identifier that hangs onto a singlevalue. For example, let's say you needed the number 5...
    Variables

    One of the most basic concepts in computer programming is the variable. A variable is a word/identifier that hangs onto a singlevalue. For example, let's say you needed the number 5 for your program, but you're not going to use it immediately. You can set a variable, say spam, to grab the value 5and hang onto it for later use, like this:

    spam = 5
    

    Declaring variables in Python is easy; you just write out a name/identifier, like spam, and use = to assign it a value, and you're done!

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  • <div><p>So with Meson all the variables are accessible in all meson.build files. For a big project, this can become a maintenance problem. <p>Normally the variables are immutable, so writing by ...
  • Simplified Variables

    2020-12-06 02:55:21
    <div><p>The variables attribute could have a simplified version for those outputs using a single variable and returning non formatted values, instead of writing that long array format. What do you ...
  • <div><p>I added variables by toggling the variables window and then adding them. When I close the variables window the variables are lost. <p>Is there a way to persist this setting? Or perhaps there ...
  • //影响本次会话SELECT * FROM information_schema.SESSION_VARIABLES WHERE VARIABLE_NAME LIKE 'CHARACTER_SET_CLIENT';<==>SHOW VARIABLES LIKE 'CHARACTER_SET_CLIENT';set @@session.CHARACTER_SET_CLIENT...

    //影响本次会话

    SELECT * FROM information_schema.SESSION_VARIABLES WHERE VARIABLE_NAME LIKE 'CHARACTER_SET_CLIENT';

    <==>

    SHOW VARIABLES LIKE 'CHARACTER_SET_CLIENT';

    set @@session.CHARACTER_SET_CLIENT=GBK;

    <==>

    set CHARACTER_SET_CLIENT=GBK;

    //全局的,在不重启服务的情况下,影响其他会话(重启MYSQL服务又会失效)

    SELECT * FROM information_schema.GLOBAL_VARIABLES WHERE VARIABLE_NAME LIKE 'CHARACTER_SET_CLIENT';

    <==>

    SHOW GLOBAL VARIABLES LIKE 'CHARACTER_SET_CLIENT';

    set @@global.CHARACTER_SET_CLIENT=GBK;

    <==>

    set global CHARACTER_SET_CLIENT=GBK;

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  • <p>So far I managed to get the instance variables to directly appear inside the properties editor (saving billion clicks and making it easier to compare variables between instances) ...
  • show variables

    2020-11-17 18:35:08
    show variables like 'log_%'; # mysql数据目录 show global variables like "%datadir%" #查看慢查询 show variables like '%slow_query%'; show variables like '%quer%'; show global variables like '%long_...

     

    
    #查看日志路径
    show variables like 'log_%';
    
    # mysql数据目录
    show global variables like "%datadir%"
    
    
    #查看慢查询
    show variables like '%slow_query%';
    show variables like '%quer%';
    show global variables like '%long_query%';
    
    #查看时区
    show variables like '%time_zone%';
    
    # 字符集
    show variables like 'character%'
    
    # 排序规则
    show variables like 'collation%';

     

    SELECT @@GLOBAL.time_zone, @@SESSION.time_zone;

     

     

     

     

     

     

     

     

     

     

     

     

     

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  • Volatile variables

    2019-10-03 14:31:23
    Volatile variables apply another type of memory constraint to individual variables. The compiler often optimizes code by loading the values for variables into registers. For local variables, this...
  • jmeter Variables

    千次阅读 2017-04-27 13:51:45
    jmeter Variables
  • Mysql VARIABLES

    2020-06-15 11:08:14
    1.SHOW VARIABLES:显示所有变量 (1) show Variables like '%table_names'查看lower_case_table_names的值,0代表区分,1代表不区分
  • <p>Currently we have <code>decode_coords</code> which sets variables named in <code>attrs["coordinates"]</code> as coordinate variables. <p>There are a number of other CF attributes that can ...
  • Global Variables

    2018-08-29 14:12:00
    Global Variables 我们可以通过global variables来调整ProxySQL的功能,有如下两种方式来调整global variables: at runtime, using the admin interface (preferred) at startup, using the dedicated section...
  • // local variables prioritized global variables var outerWear = "T-shirt"; function myOutFit() { var outerWear = "sweater"; return outerWear; } console.log(myOutFit()); console.log(outerWear); // ...
  • MySql Variables

    2019-01-04 14:11:48
    MySQL Variables MySQL Variables在这里实际上指的是一些参数,用于初始化或设定数据库对系统资源的占用,文件存放位置等。在新安装好系统后,就已经被初始化好了。但是我们有时候不想采取默认值,所以就需要对这些...
  • <div><p>module:SAVE_VARIABLES, extras module to save variables to disk <p>Saves the arbitrary variables to disk so that it can be used across restarts. All stored variables are loaded into the printer...
  • <p>How can I pass all variables include secret variables to the my PowerShell script argument as an array or hash table where in one variable I will have all the values. <p>This command Get-ChildItem ...
  • Graph Variables

    2018-08-07 23:32:03
    Graph Variables TinkerPop3引入了Graph.Variables的概念。变量(Variables)是用于图自身管理的键值对,本质上就是一个Map&lt;String,Object&gt;对象。这些变量计划用于存储图的元数据信息,例如下面这些...
  • GLOBAL_VARIABLES和SESSION_VARIABLES这两个表提供和系统变量相关的信息从 MySQL 5.7.6开始,这两个表开始被废弃,并将在后续的版本移除,信息可以在Performance_schema数据库中查询这个特性通过show_compatibilit....
  • <div><p>Without rewriting variables.less it must be possible to override individual variables. In SASS we would declare all variables in variables.less with <p>...
  • 本文整理汇总了Python中tensorflow.python.ops.variables.PartitionedVariable方法的典型用法代码示例。如果您正苦于以下问题:Python variables.PartitionedVariable方法的具体用法?Python variables....
  • global variables 全局访问 member variables 类变量,类的所有对象共享 instance variables 对象变量,只对某一对象有用 类变量写在class语句下面和def语句并列,调用时用 类.类变量 对象变量用self.对象变量...
  • Class Variables :类变量,静态变量 Instance Variables:实例变量,非静态变量,位于类中,方法体外 local Variables:局部变量,位于方法体内,必须定义初始化值。 类的静态变量在内存中只有一个,java虚拟机...
  • Condition Variables

    2015-07-09 14:00:55
    Condition Variables Condition variables are synchronization primitives that enable threads to wait until a particular condition occurs. Condition variables are user-mode objects that cannot be share
  • <div><p>Per discussion with , decided variables should filter after transformations even though user may not know which variables result from transformations. Otherwise <code>variables</code> and ...
  • handbook of complex variables 国外复变函数经典教材
  • side specific variables.

    2021-01-08 05:58:29
    <p>This makes it possible to store variables inside the side with the lua functions get/set_side_variable. These variables are carried over along other side specific data(units, gold) <p>It is ...
  • 当网络结果越来越复杂,变量越来越多的时候,就需要一个查看管理变量的函数,在tensorflow中,tf.trainable_variables(), tf.all_variables(),和tf.global_variables()可以来满足查看变量的要求,来简单说一下他们的...
  • <div><p>I have added global_variables.h and variables.cpp for global variables</p><p>该提问来源于开源项目:synfig/synfig</p></div>

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