VoVAllen

#!/usr/bin/python

import h5py
import psycopg2
import psycopg2.extras
from math import sqrt
import ipdb
import numpy as np
from tqdm import tqdm

VoVAllen

import torch
from torch.nn.utils.rnn import PackedSequence
from typing import overload, Optional

class Base(torch.nn.Module):
    def __init__(self):
        super().__init__()
    @overload
    @torch._jit_internal._overload_method
    def forward(self, inputs, hx=None):

VoVAllen

#!/bin/bash

set -x

if [ $# -ne 2 ]; then
    REPO=dmlc
    BRANCH=master
else
    REPO=$1
    BRANCH=$2

VoVAllen

Rule:
- DOMAIN-SUFFIX,digicert.com,DIRECT
- DOMAIN-SUFFIX,mzstatic.com,Domestic
- DOMAIN-SUFFIX,akadns.net,Domestic
- DOMAIN-SUFFIX,aaplimg.com,Domestic
- DOMAIN-SUFFIX,cdn-apple.com,Domestic
- DOMAIN-SUFFIX,apple.com, Domestic
- DOMAIN-SUFFIX,icloud.com,Domestic
- DOMAIN-SUFFIX,icloud-content.com,Domestic
- DOMAIN,e.crashlytics.com,REJECT

VoVAllen

def att_animation(maps_array, mode, src, tgt, head_id):
    weights = [maps[mode2id[mode]][head_id] for maps in maps_array]
    fig, axes = plt.subplots(1, 2)
    axes[0].set_yticks(np.arange(len(src)))
    axes[0].set_xticks(np.arange(len(tgt)))
    axes[0].set_yticklabels(src)
    axes[0].set_xticklabels(tgt)
    plt.setp(axes[0].get_xticklabels(), rotation=45, ha="right",
             rotation_mode="anchor")
    

VoVAllen

# This part for jupyter notebook setting (if you wants to save, don't use this)
# %matplotlib inline
# %config InlineBackend.figure_format = 'svg'
# import numpy as np
# import matplotlib.pyplot as plt
# plt.rcParams["animation.html"] = "jshtml"


import networkx as nx
from networkx.algorithms import bipartite

VoVAllen

class Flatten(nn.Module):
    def __init__(self):
        super(Flatten, self).__init__()

    def forward(self, x):
        return x.view(x.size(0), -1)

VoVAllen

def is_cuda(operation):
    if isinstance(operation, th.nn.Module):
        return 'cuda' in str(type(operation.parameters().next()))
    elif isinstance(operation, th._TensorBase):
        return 'cuda' in str(type(operation))
    elif isinstance(operation, Variable):
        return 'cuda' in str(type(operation.data))
    else:
        raise Exception("Operation is not nn.Module or Variable or Tensor")