ImportError: cannot import name '_validate_lengths'

Question

I have started learning Tensorflow. I am using Pycharm and my environment is Ubuntu 16.04. I am following the tutorial. I cross check the nump. It is up-to-date. I don't know the reason of this error.

from numpy.lib.arraypad import _validate_lengths

ImportError: cannot import name '_validate_lengths'

Need hint to resolve this error. Thank you.

import tensorflow as tf from skimage import transform from skimage import data import matplotlib.pyplot as plt import os import numpy as np from skimage.color import rgb2gray import random  #listdir: This method returns a list containing the names of the entries in the directory given by path. # Return True if path is an existing directory  def load_data(data_dir):     # Get all subdirectories of data_dir. Each represents a label.     directories = [d for d in os.listdir(data_dir)                    if os.path.isdir(os.path.join(data_dir, d))]     # Loop through the label directories and collect the data in     # two lists, labels and images.     labels = []     images = []     for d in directories:         label_dir = os.path.join(data_dir, d)         file_names = [os.path.join(label_dir, f)                       for f in os.listdir(label_dir)                       if f.endswith(".ppm")]         for f in file_names:             images.append(data.imread(f))             labels.append(int(d))     return images, labels   ROOT_PATH = "/home/tahir/PhD Study/Traffic Signs Using Tensorflow/" train_data_dir = os.path.join(ROOT_PATH, "TrafficSigns/Training") test_data_dir = os.path.join(ROOT_PATH, "TrafficSigns/Testing")  images, labels = load_data(train_data_dir)  # Print the `images` dimensions print(images.ndim)  # Print the number of `images`'s elements print(images.size)  # Print the first instance of `images` images[0] 

Answer 1

I updated my skimage package.

pip install --upgrade scikit-image 

And the problem was solved. It's a problem of version of Skimage, which is solved in 0.14.2. PLus, this version is quite stable.

    Installing collected packages: dask, scikit-image   Found existing installation: dask 0.19.1     Uninstalling dask-0.19.1:       Successfully uninstalled dask-0.19.1   Found existing installation: scikit-image 0.13.0     Uninstalling scikit-image-0.13.0:       Successfully uninstalled scikit-image-0.13.0 Successfully installed dask-1.0.0 scikit-image-0.14.2