小编awe*_*ezy的帖子

编辑:固定!

只需要输入.cache目录

我已经试过virtualenvwrapper文档说明,我已经试过这家伙的说明,以及这些 ......我已经试过sudo pip uninstall virtualenv ,sudo pip uninstall virtualenvwrapper,sudo pip3 uninstall virtualenv,sudo pip3 uninstall virtualenvwrapper试图每个指令集之前.我看过像这样的其他SO帖子,但是sudo问题与我自己的不一样.通过这个,我的意思是我在制作virtualenv时不使用sudo,如果我尝试使用sudo pip安装包,它只会说我已经安装了包(在virtualenv之外).

我也尝试过 pip install --user virtualenv(wrapper)

这是我做的:

~ $ sudo pip3 install virtualenv
Downloading/unpacking virtualenv
  Downloading virtualenv-13.0.3-py2.py3-none-any.whl (1.7MB): 1.7MB downloaded
Installing collected packages: virtualenv
Successfully installed virtualenv
Cleaning up...
~ $ mkdir ~/.virtualenvs
~ $ sudo pip3 install virtualenvwrapper
Downloading/unpacking virtualenvwrapper
  Downloading virtualenvwrapper-4.5.1-py2.py3-none-any.whl
Requirement already satisfied (use --upgrade to …

[编辑相关性]

使用此配置编译此模型后：

converter = tf.lite.TFLiteConverter.from_frozen_graph(
        path/to/graph.pb,
        input_arrays=["Cast"],
        output_arrays=["features"],
        input_shapes={"Cast":[1, 128, 64, 3]}) 
converter.target_spec.supported_ops = [tf.lite.OpsSet.TFLITE_BUILTINS,
        tf.lite.OpsSet.SELECT_TF_OPS]
converter.allow_custom_ops = True
converter.experimental_new_converter = True
converter.optimizations = [tf.lite.Optimize.DEFAULT]
tflite_model = converter.convert()

tflite生成了模型，但调用解释allocate_tensors器会导致此错误：

RuntimeError: Regular TensorFlow ops are not supported by this interpreter. 
              Make sure you apply/link the Flex delegate before 
              inference.Node number 0 (FlexTensorArrayV3) failed to prepare.

所以看来我已经构建了tflite_convert对张量流操作的支持......

我是使用省略号的想法的新手.我几乎可以肯定我的错误是由于不正确地声明或初始化" String[] authors" 引起的,但我不知道如何做到这一点仍然让我的setAuthors方法工作.

import java.util.*;
public class Book {
    private String[] authors; //I'm guessing this line should end with "= new String..."
                              //but not sure how to w/o specifying an array dimension
    private int authorsSize;

    //Receives variable # of String parameters and indices them into String[] "authors"
    public void setAuthors(String... authors) {
        authorsSize = authors.length;
        for(int i=0;i<authorsSize;i++)
            this.authors[i] = authors[i];
    }

// getAuthors方法:

    public String getAuthors(){
         String s = "";
         authorsSize = authors.length;
              for(int i=0;i<authorsSize;i++)
              s …