ShawonAshraf

import torch.nn as nn
from einops.layers.torch import Rearrange
from transformers import AutoModel


class DummyModel(nn.Module):
    def __init__(self, textmodel_weight_name, task_name, batch_size, freeze_text_model=False):
        super(DummyModel, self).__init__()

        self.task_name = task_name

ShawonAshraf

# /lib/systemd/system/gpupowerlimiter.service

[Unit]
Description="Limit Nvidia GPU power at each reboot using nvidia-smi"

[Service]
User=root
Group=root
ExecStartPre=/usr/bin/nvidia-smi -i 0 -pm ENABLED
ExecStart=/usr/bin/nvidia-smi -pl 280

ShawonAshraf

# If you come from bash you might have to change your $PATH.
export PATH=$HOME/bin:/usr/local/bin:$PATH
export PATH="$PATH:/home/shawon/.local/bin"

# openbangla settings for kde
# Ibus KDE
export GTK_IM_MODULE=ibus
export QT_IM_MODULE=ibus
export XMODIFIERS=@im=ibus

ShawonAshraf

#!/usr/bin/bash

function echo_green {
echo -e "\\e[32m$*\\e[0m"
}

function echo_orange {
echo -e "\\e[33m$*\\e[0m"
}

ShawonAshraf

absl-py==1.0.0
aiohttp==3.8.1
aiosignal==1.2.0
analytics-python==1.4.0
anyio==3.5.0
asgiref==3.5.0
async-timeout==4.0.2
attrs==21.4.0
autopep8==1.6.0
backoff==1.10.0

ShawonAshraf

import os
from tqdm import tqdm

train_dir = os.path.join(os.getcwd(), "data", "train")
test_dir = os.path.join(os.getcwd(), "data", "test")


# merge all text from the txt files 
# returns a list

ShawonAshraf

\documentclass[11pt]{report}
\usepackage[utf8]{inputenc}

% set margin
\usepackage[a4paper, margin=2.0cm]{geometry}
\addtolength{\leftmargin}{2.5cm}

% page numbering
\pagenumbering{gobble}

ShawonAshraf

#input
['S',
     ['NP-SBJ',
      ['NP',
       ['DT', 'The'],
          ['NN', 'cat']
       ]
      ],
     ['VP',
         ['VB', 'chases'],

ShawonAshraf

import math
import argparse

argument_parser = argparse.ArgumentParser()
argument_parser.add_argument("--n", type=int, required=True)
args = argument_parser.parse_args()


def is_prime(n):
    if n == 1:

ShawonAshraf

# fragments
from fragments import get_random_text


def easy_password(length: int):
    psw = ""
    while len(psw) != length:
        chunk = psw + get_random_text()
        if (len(chunk)-length == 1) or ((len(chunk) > length)):
            psw = psw