在运行numpy和所有其他代码时,我一直收到错误消息
import tensorflow as tf
import keras
import numpy as np
import matplotlib.pyplot as plt
data = keras.datasets.fashion_mnist
(train_images, train_labels), (test_images, test_labels) = data.load_data()
print(train_labels[0])
我这样说是错误的:
C:\Users\Martijn\Anaconda3\envs\Neural\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:550:
FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated;
in a future version of numpy,
it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
答案 0 :(得分:0)
这不是错误-这是警告。因此,它不会妨碍代码的性能。
您现在可以忽略它,因为它是TensorFlow工程师必须解决的问题。