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This gist contains all the grading script for COMP2710 2019 Spring session.

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from functools import partial


def foo(self, inp, out, name=''):
    log.debug('layer name {}'.format(name))
    log.debug('input size {}'.format(inp[0].size()))
    log.debug('output size {}'.format(out[0].size()))


bar = partial(foo, name='Conv2d_1a_3x3')

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import logging
import logging.config
from datetime import datetime
import os
import sys

LOGFILE = '/tmp/{0}.{1}.log'.format(
    os.path.basename(__file__),
    datetime.now().strftime('%Y%m%dT%H%M%S'))

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This a collection of tips and feedbacks for COMP2710 Software Construction Spring 2018.

1. Grading script for hw1 gist.
2. Grading script for hw2 gist.

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Simple decorator timer in Python3.

@tick
def foo():
  for i in range(100):
    pass

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This repo collects convenient scripts.

1. graypdf. Convert PDF to grayscale.
2. mergepdf. Merge a sequence of PDF files.

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This gist contains my homework grading scripts for Auburn COMP2017 in Spring semseter. grade1.py for homework 1, grade2.py for homework 2 and so on. Shoot me an email if you have questions.

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The script shows a wierd bug using keras with tensorflow.

When you use the tf.while_loop function

1. if you include the Dropout layer or set the total number of epochs to greater than 10, then the program hangs and never returns.
2. Otherwise, it works fine.

I've updated to the latest version of keras and tensorflow. This bug persists. It seems to be a bug with keras. Since I could not reproduce this with pure tensorflow code.

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This Makefile sync current local working folder with the remote folder.

When working on a server, I always want to edit files locally and then push them to servers to run. However I do not want to track what files I just changed and push them one by one using SFTP. rsync solves this issue elegantly.

Concretely, when I'm finishing editing files locally, I just type