iKhushPatel

import os
import glob
import pandas as pd
import xml.etree.ElementTree as ET


def xml_to_csv(path):
    xml_list = []
    for xml_file in glob.glob(path + '/*.xml'):
        tree = ET.parse(xml_file)

iKhushPatel

"""
Usage:
  # From tensorflow/models/
  # Create train data:
  python generate_tfrecord.py --csv_input=data/train_labels.csv  --output_path=train.record
  # Create test data:
  python generate_tfrecord.py --csv_input=data/test_labels.csv  --output_path=test.record
"""
from __future__ import division
from __future__ import print_function

sonots

Usually, located at /usr/local/cuda/bin

Non-Visual Profiler

$ nvprof python train_mnist.py

I prefer to use --print-gpu-trace.

djsutherland

#!/bin/bash

# Note: you might prefer   latexmk -c   since latexmk is great. It doesn't clean all of these, but see
#   https://tex.stackexchange.com/questions/83341/clean-bbl-files-with-latexmk-c/83386#83386

exts=".aux .lof .log .lot .fls .out .toc .dvi .bbl .bbl-SAVE-ERROR .bcf .bcf-SAVE-ERROR .blg -blx.aux -blx.bib -blx.bib .run.xml .fdb_latexmk .synctex.gz .syntex.gz(busy) .pdfsync .algorithms .alg .loa .thm .nav .snm .vrb .acn .acr .glg .glo .gls .brf .lol .idx .ilg .ind .ist .maf .mtc .mtc0 .pyg .nlo .tdo .xdy .keys"

for x in "${@:-.}"; do
    arg=$(echo ${x:-.} | perl -pe 's/\.(tex|pdf)$//')