ParthPratim

import torch 
import json
import random
import re
import copy
import torch.nn.functional as F
import math
from dataclasses import dataclass
from accelerate import Accelerator
from torch.nn.utils import rnn

ParthPratim

Gaussian Random Projections

Task	axb	mrpc	qnli	sst5
axb	1.000	0.079	0.033	0.009
mrpc	0.079	1.000	0.050	-0.023
qnli	0.033	0.050	1.000	-0.007
sst5	0.009	-0.023	-0.007	1.000

Repmatch Score

ParthPratim

#include <linux/ethtool.h>
#include <linux/etherdevice.h>
#include <linux/netdevice.h>
#include <linux/if_arp.h>
#include <linux/if_ether.h>
#include <linux/ethtool.h>
#include <asm/dce_handle_api.h>


struct SimDevice {

ParthPratim

#include <linux/net.h>
#include <linux/errno.h>
#include <linux/init.h>
#include <linux/version.h>
#include <net/sock.h>
#include <linux/cred.h>
#include <linux/rcupdate.h>
#include <linux/idr.h>
#include <asm/dce-types.h>
#include <linux/fs.h>