Feng Shi shi27feng

## Working GDB on macOS 11.md

      
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                shi27feng
                / Working GDB on macOS 11.md
            
            
              Created
              February 20, 2022 12:16
                — forked from mike-myers-tob/Working GDB on macOS 11.md
            
              
                Steps to get GDB actually working in April 2021 on macOS
              
          
    Debug with GDB on macOS 11

The big reason to do this is that LLDB has no ability to "follow-fork-mode child", in other words, a multi-process target that doesn't have a single-process mode (or, a bug that only manifests when in multi-process mode) is going to be difficult or impossible to debug, especially if you have to run the target over and over in order to make the bug manifest. If you have a repeatable bug, no big deal, break on the fork from the parent process and attach to the child in a second lldb instance. Otherwise, read on.
Install GDB

Don't make the mistake of thinking you can just brew install gdb. Currently this is version 10.2 and it's mostly broken, with at least two annoying bugs as of April 29th 2021, but the big one is https://sourceware.org/bugzilla/show_bug.cgi?id=24069
$ xcode-select install  # install the XCode command-line tools

  
## Convolutional Arithmetic.ipynb

      
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                shi27feng
                / Convolutional Arithmetic.ipynb
            
            
              Created
              October 5, 2018 17:55
                — forked from akiross/Convolutional Arithmetic.ipynb
            
              
                Few experiments on how convolution and transposed convolution (deconvolution) should work in tensorflow.
              
          
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## tensorflow_finetune.py
"""
Example TensorFlow script for finetuning a VGG model on your own data.
Uses tf.contrib.data module which is in release v1.2
Based on PyTorch example from Justin Johnson
(https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c)

Required packages: tensorflow (v1.2)
Download the weights trained on ImageNet for VGG:
```
wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz

## FastCollinearPoints.java
import java.awt.Color;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;

import edu.princeton.cs.algs4.In;
 import edu.princeton.cs.algs4.StdDraw;
 import edu.princeton.cs.algs4.StdOut;

public class FastCollinearPoints {
	"""
	Example TensorFlow script for finetuning a VGG model on your own data.
	Uses tf.contrib.data module which is in release v1.2
	Based on PyTorch example from Justin Johnson
	(https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c)

	Required packages: tensorflow (v1.2)
	Download the weights trained on ImageNet for VGG:
	```
	wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz
	import java.awt.Color;
	import java.util.ArrayList;
	import java.util.Arrays;
	import java.util.HashMap;

	import edu.princeton.cs.algs4.In;
	import edu.princeton.cs.algs4.StdDraw;
	import edu.princeton.cs.algs4.StdOut;

	public class FastCollinearPoints {