from tensorflow.contrib.layers import *在tensorflow2里应该怎么改
时间: 2023-06-14 08:04:08 浏览: 63
在TensorFlow 2中,`contrib`模块已经被移除,因此不能直接导入`tensorflow.contrib.layers`。相反,可以使用`tf.keras.layers`中的层来实现相同的功能。
以下是一些常用的`contrib`模块中的层和它们在TensorFlow 2中的等效层:
- `tf.contrib.layers.conv2d` -> `tf.keras.layers.Conv2D`
- `tf.contrib.layers.fully_connected` -> `tf.keras.layers.Dense`
- `tf.contrib.layers.flatten` -> `tf.keras.layers.Flatten`
- `tf.contrib.layers.max_pool2d` -> `tf.keras.layers.MaxPooling2D`
- `tf.contrib.layers.batch_norm` -> `tf.keras.layers.BatchNormalization`
- `tf.contrib.layers.dropout` -> `tf.keras.layers.Dropout`
例如,将`tf.contrib.layers.conv2d`替换为`tf.keras.layers.Conv2D`:
``` python
# TensorFlow 1.x
import tensorflow as tf
from tensorflow.contrib.layers import conv2d
inputs = tf.placeholder(tf.float32, [None, 32, 32, 3])
conv = conv2d(inputs, num_outputs=16, kernel_size=[3, 3])
# TensorFlow 2.x
import tensorflow as tf
from tensorflow.keras.layers import Conv2D
inputs = tf.keras.Input(shape=(32, 32, 3))
conv = Conv2D(filters=16, kernel_size=(3, 3))(inputs)
```