TypeError:仅整数标量数组可以转换为标量索引 [英] TypeError: only integer scalar arrays can be converted to a scalar index

问题描述

我正在尝试从 github链接进行tensorflow的简单演示代码. 我目前正在使用python 3.5.2版

I am trying a simple demo code of tensorflow from github link.
I'm currently using python version 3.5.2

Z:\downloads\tensorflow_demo-master\tensorflow_demo-master>py Python
3.5.2 (v3.5.2:4def2a2901a5, Jun 25 2016, 22:18:55) [MSC v.1900 64 bit (AMD64)] on win32<br> Type "help", "copyright", "credits" or "license" for more information.

我在命令行中尝试使用board.py时遇到了此错误.我已经安装了运行该程序所需的所有依赖项.

I ran into this error when I tried board.py in command-line. I have installed all the dependencies that are required for this to run.

def _read32(bytestream):
    dt = numpy.dtype(numpy.uint32).newbyteorder('>')
    return numpy.frombuffer(bytestream.read(4), dtype=dt)

def extract_images(filename):
    """Extract the images into a 4D uint8 numpy array [index, y, x, depth]."""
    print('Extracting', filename)
    with gzip.open(filename) as bytestream:
        magic = _read32(bytestream)
        if magic != 2051:
            raise ValueError(
                'Invalid magic number %d in MNIST image file: %s' %
                (magic, filename))
        num_images = _read32(bytestream)
        rows = _read32(bytestream)
        cols = _read32(bytestream)
        buf = bytestream.read(rows * cols * num_images)
        data = numpy.frombuffer(buf, dtype=numpy.uint8)
        data = data.reshape(num_images, rows, cols, 1)
    return data

Z:\downloads\tensorflow_demo-master\tensorflow_demo-master>py board.py
Extracting  Z:/downloads/MNIST dataset\train-images-idx3-ubyte.gz
Traceback (most recent call last):  
File "board.py", line 3, in <module>
    mnist = input_data.read_data_sets(r'Z:/downloads/MNIST dataset', one_hot=True)  
File "Z:\downloads\tensorflow_demo-master\tensorflow_demo-master\input_data.py", line 150, in read_data_sets
    train_images = extract_images(local_file) 
File "Z:\downloads\tensorflow_demo-master\tensorflow_demo-master\input_data.py", line 40, in extract_images
    buf = bytestream.read(rows * cols * num_images) 
File "C:\Users\surak\AppData\Local\Programs\Python\Python35\lib\gzip.py", line 274, in read
    return self._buffer.read(size)
TypeError: only integer scalar arrays can be converted to a scalar index

推荐答案

您可以修改函数:

def _read32(bytestream):
    dt = numpy.dtype(numpy.uint32).newbyteorder('>')
    return numpy.frombuffer(bytestream.read(4), dtype=dt)

新版本:

def _read32(bytestream):
    dt = numpy.dtype(numpy.uint32).newbyteorder('>')
    return numpy.frombuffer(bytestream.read(4), dtype=dt)[0]

最后添加[0].

这似乎是最新版本的Numpy的问题.最近的更改使出于索引目的将单元素数组视为标量是错误的.

This appears to be an issue with the latest version of Numpy. A recent change made it an error to treat a single-element array as a scalar for the purposes of indexing.

这篇关于TypeError:仅整数标量数组可以转换为标量索引的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！