masterdezign

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

masterdezign

version: '3.1'

services:

  db:
    image: mysql
    restart: always
    environment:
      MYSQL_ROOT_PASSWORD: CHANGE_THIS_PASSWORD
      MYSQL_DATABASE: test_db

masterdezign

FROM pytorch/pytorch:2.1.0-cuda11.8-cudnn8-runtime

ARG USER="user"
ARG UID="1000"
ARG GID="100"

USER "root"

RUN apt-get update && apt-get install -y gnupg

masterdezign

from copy import deepcopy
from typing import Any, Dict, Generator, List, Optional, Union
from typing import NamedTuple, Tuple

from gymnasium import spaces
import numpy as np
import torch as th

from stable_baselines3.common.buffers import BaseBuffer
from stable_baselines3.common.vec_env import VecNormalize

masterdezign

# Based on min-char-rnn.py
# https://gist.github.com/karpathy/d4dee566867f8291f086

import torch as th
import torch.nn as nn
import numpy as np


class Model(nn.Module):
    def __init__(self, hidden_size, vocab_size, num_layers):

masterdezign

import numpy as np

def spirals(n_samples=400):
    N = n_samples
    theta = np.sqrt(np.random.rand(N))*2*np.pi

    r_a = 2*theta + np.pi
    data_a = np.array([np.cos(theta)*r_a, np.sin(theta)*r_a]).T
    x_a = data_a + np.random.randn(N,2)

masterdezign

FROM pytorch/pytorch:2.1.0-cuda11.8-cudnn8-runtime

ARG USER="user"
ARG UID="1000"
ARG GID="100"

USER "root"

RUN apt-get update && apt-get install -y gnupg