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from torch.utils.data import DataLoader | |
class InfiniteDataLoader(DataLoader): | |
def __init__(self, *args, **kwargs): | |
super().__init__(*args, **kwargs) | |
# Initialize an iterator over the dataset. | |
self.dataset_iterator = super().__iter__() | |
def __iter__(self): |
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import boto3 | |
from termcolor import colored | |
ec2 = boto3.resource('ec2') | |
for i in ec2.instances.all(): | |
print("Id: {0}\tState: {1}\tLaunched: {2}\tRoot Device Name: {3}".format( | |
colored(i.id, 'cyan'), | |
colored(i.state['Name'], 'green'), |
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import os | |
import torch | |
import argparse | |
from maskrcnn_benchmark.config import cfg | |
from maskrcnn_benchmark.utils.c2_model_loading import load_c2_format | |
def removekey(d, listofkeys): | |
r = dict(d) | |
for key in listofkeys: |
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""" | |
Turn this | |
location name Jan-2010 Feb-2010 March-2010 | |
A "test" 12 20 30 | |
B "foo" 18 20 25 | |
into this | |
location name Date Value |