小编Kar*_*ski的帖子

我根据官方TensorFlow教程使用数据增强。首先，我创建一个具有增强层的顺序模型：

def _getAugmentationFunction(self):
    if not self.augmentation:
        return None
    pipeline = []
    
    pipeline.append(layers.RandomFlip('horizontal_and_vertical'))
    pipeline.append(layers.RandomRotation(30))
    pipeline.append(layers.RandomTranslation(0.1, 0.1, fill_mode='nearest'))
    pipeline.append(layers.RandomBrightness(0.1, value_range=(0.0, 1.0)))

    model =  Sequential(pipeline)
    return lambda x, y: (model(x, training=True), y)

然后，我在数据集上使用映射函数：

data_augmentation = self._getAugmentationFunction()
self.train_data = self.train_data.map(data_augmentation,
                                      num_parallel_calls=AUTOTUNE)

该代码按预期工作，但我收到以下警告：

WARNING:tensorflow:Using a while_loop for converting RngReadAndSkip
WARNING:tensorflow:Using a while_loop for converting Bitcast
WARNING:tensorflow:Using a while_loop for converting Bitcast
WARNING:tensorflow:Using a while_loop for converting StatelessRandomUniformV2
WARNING:tensorflow:Using a while_loop for converting RngReadAndSkip
WARNING:tensorflow:Using a while_loop for converting Bitcast
WARNING:tensorflow:Using a while_loop for …

我试图弄清楚Python中的多重继承，但我找到的所有文章都仅限于简单的情况。让我们考虑以下示例：

class Vehicle:
    def __init__(self, name: str) -> None:
        self.name = name
        print(f'Creating a Vehicle: {name}')

    def __del__(self):
        print(f'Deleting a Vehicle: {self.name}')


class Car(Vehicle):
    def __init__(self, name: str, n_wheels: int) -> None:
        super().__init__(name)
        self.wheels = n_wheels
        print(f'Creating a Car: {name}')

    def __del__(self):
        print(f'Deleting a Car: {self.name}')


class Boat(Vehicle):
    def __init__(self, name: str, n_props: int) -> None:
        super().__init__(name)
        self.propellers = n_props
        print(f'Creating a Boat: {name}')

    def __del__(self):
        print(f'Deleting a Boat: {self.name}')


class Amfibii(Car, Boat):
    def __init__(self, name: str, n_wheels: int, n_props: …

我遇到过这样的语法:

template<typename>
struct is_const{static const bool value = 0;};

这段代码将如何表现以及如何应用？我没有在互联网上找到任何例子或解释.

我想知道缺少参数名称(例如T).

我希望有两个透明条形图重叠在一个图中.我试过这种方式:

bar(list2(:,1),list2(:,2),'r','FaceAlpha',0.5)
hold on
bar(list1(:,1),list1(:,2),'g','FaceAlpha',0.5)

但输出是:

为什么第二个情节不透明并且有这些奇怪的条带？我使用matlab 2016a