没有名为“tensorflow.compat”的模块

Question

我正在尝试使用可教机器网站上的代码：

from keras.models import load_model
from PIL import Image, ImageOps
import numpy as np

# Load the model
model = load_model('keras_model.h5')

# Create the array of the right shape to feed into the keras model
# The 'length' or number of images you can put into the array is
# determined by the first position in the shape tuple, in this case 1.
data = np.ndarray(shape=(1, 224, 224, 3), dtype=np.float32)
# Replace this with the path to your image
image = Image.open('<IMAGE_PATH>')
#resize the image to a 224x224 with the same strategy as in TM2:
#resizing the image to be at least 224x224 and then cropping from the center
size = (224, 224)
image = ImageOps.fit(image, size, Image.ANTIALIAS)

#turn the image into a numpy array
image_array = np.asarray(image)
# Normalize the image
normalized_image_array = (image_array.astype(np.float32) / 127.0) - 1
# Load the image into the array
data[0] = normalized_image_array

# run the inference
prediction = model.predict(data)
print(prediction)

但是当运行代码时，我收到以下错误： ModuleNotFoundError: No module named 'tensorflow.compat'

我尝试在两台单独的机器上运行代码，卸载并重新安装tensorflow、pip、keras，似乎没有任何帮助。

我正在使用Python 3.9和tensorflow 2.8.0

Answer 1

这只是发生在我身上，但我想通了。您的 .py 脚本文件名与tensorflow库的文件之一相同。您只需重命名您的 python 脚本即可正常工作。