stefanonardo

# MIT License
#
# Copyright (c) 2018 Stefano Nardo https://gist.github.com/stefanonardo
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

krishvishal

from model import Net
from trainer import Trainer 
import torch
from torch import nn
from matplotlib import pyplot as plt

model = Net()
ckpt = torch.load('path_to_checkpoint')
model.load_state_dict(ckpt['state_dict'])
filter = model.conv1.weight.data.numpy()

jdp

import random


class CountMinSketch(object):
    def __init__(self, w, d, p):
        self.w = w
        self.d = d
        self.p = p
        self.C = [[0] * self.w for _ in range(self.d)]
        self.a = [random.randint(1, self.p) for _ in range(self.d)]