Question

我只需要设置android设备智能手机肖像吗？ window.isTablet 仅查找手机或平板电脑，因此我需要设置屏幕锁定方向并编写代码。

Answer 1

使用我们修复的Cordova Screen Orientation Plugin。

在app.js

document.addEventListener("deviceready", function() {
    if (window.innerHeight <= 736 || window.innerWidth <= 736) {
        screen.orientation.lock('portrait');
    } else {
        screen.orientation.unlock('portrait');
    }
});

window.addEventListener("orientationchange", function() {
    if (window.innerHeight <= 736 || window.innerWidth <= 736) {
        screen.orientation.lock('portrait');
    } else {
        screen.orientation.unlock('portrait');
    }
});

Answer 2

如果您想仅允许potrait模式，请添加 -

<platform name="android">
    <preference name="Orientation" value="portrait" />
    <allow-intent href="market:*" />
</platform>

项目文件夹中<widget>内的config.xml标记。

考虑到此Cordova Device插件，您可能无法找到Tablet or Mobile version。

您可以获得以下properties -

device.cordova //在设备上运行的Cordova版本。

device.model //设备型号或产品的名称

device.platform //设备的操作系统名称

device.uuid

device.version

device.manufacturer //设备的制造商。

device.isVirtual //设备是虚拟的（模拟的）或真实的

device.serial

Answer 3

使用以下代码

def optimistic_restore(session, save_file, flags):

if flags.checkpoint_exclude_scopes is not None:
    exclusions = [scope.strip() for scope in flags.checkpoint_exclude_scopes.split(',')]

reader = tf.train.NewCheckpointReader(save_file)
saved_shapes = reader.get_variable_to_shape_map()
print ('saved_shapes %d' % len(saved_shapes))
var_names = sorted([(var.name, var.name.split(':')[0]) for var in tf.global_variables()
                    if var.name.split(':')[0] in saved_shapes])

var_names_to_be_initialized = sorted([(var.name, var.name.split(':')[0]) for var in tf.global_variables()
                    if var.name.split(':')[0] not in saved_shapes])
print('var_names %d' % len(var_names))
print('var_names_to_be_initialized %d' % len(var_names_to_be_initialized))
restore_vars = []
name2var = dict(zip(map(lambda x: x.name.split(':')[0], tf.global_variables()), tf.global_variables()))
print('name2var %d' % len(name2var))

with tf.variable_scope('', reuse=True):
    variables_to_init = []
    for var_name, saved_var_name in var_names:
        curr_var = name2var[saved_var_name]
        var_shape = curr_var.get_shape().as_list()
        if var_shape == saved_shapes[saved_var_name]:
            excluded = False
            for exclusion in exclusions:
                if saved_var_name.startswith(exclusion):
                    variables_to_init.append(curr_var)
                    excluded = True
                    break
            if not excluded:
                restore_vars.append(curr_var)
        else:
            variables2_to_init.append(curr_var)
    for var_name, saved_var_name in var_names_to_be_initialized:
        curr_var = name2var[saved_var_name]
        variables2_to_init.append(curr_var)

print('variables2_to_init : %d ' % len(variables_to_init))
print('global_variables: %d ' % len(tf.global_variables()))
print('restore_vars: %d ' % len(restore_vars))
saver = tf.train.Saver(restore_vars)
saver.restore(session, save_file)
session.run(tf.variables_initializer(variables_to_init))

如何在Phonegap中找到Android平板电脑或手机？

3 个答案: