Evan Walters evanatyourservice

## schedulefree.ipynb

      
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                ameya98
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## stochastic_muzero.py
# Copyright 2022 DeepMind Technologies Limited.
# Licensed under the Apache License, Version 2.0 and CC BY 4.0.
# You may not use this file except in compliance with these licenses.
# Copies of the licenses can be found at https://www.apache.org/licenses/LICENSE-2.0
# and https://creativecommons.org/licenses/by/4.0/legalcode.

"""Pseudocode description of the Stochastic MuZero algorithm.

This pseudocode was adapted from the original MuZero pseudocode.
"""

## jax_cartpole_env.py
import jax.numpy as jnp
from jax import random

class JaxCartPole:
    """
    Based on OpenAI Gym Cartpole
    https://github.com/openai/gym/blob/master/gym/envs/classic_control/cartpole.py
    """
    def __init__(self):
        self.gravity = 9.8

## mish_init.py
def init_weights(m, variance=1.0):

    def _calculate_fan_in_and_fan_out(tensor):
        dimensions = tensor.dim()
        if dimensions < 2:
            return 1, 1

        if dimensions == 2:  # Linear
            fan_in = tensor.size(1)
            fan_out = tensor.size(0)

## Install CUDA 10.1 on Ubuntu 18.04.md

      
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                eddex
                / Install CUDA 10.1 on Ubuntu 18.04.md
            
            
              Last active
              November 22, 2023 16:12
            
              
                How to install CUDA 10.1 on Ubuntu 18.04
              
          
    How to install CUDA 10.1 on Ubuntu 18.04

A clean installation of Ubuntu 18.04.02 LTS was used.
This gist is an extension to the official docs,
adding missing parts and instructions.
2 pre-install actions

follow the pre-installation actions on:

  
## binance_historical_klines_to_csv.py
import os
import sys
import shutil
import multiprocessing as mp
from itertools import repeat as re
import dateparser
import pytz
import json
import csv
import datetime

## install-cuda-10-bionic.sh
# WARNING: These steps seem to not work anymore!

#!/bin/bash

# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"

# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

## cuda_11.8_installation_on_Ubuntu_22.04
#!/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
	# Copyright 2022 DeepMind Technologies Limited.
	# Licensed under the Apache License, Version 2.0 and CC BY 4.0.
	# You may not use this file except in compliance with these licenses.
	# Copies of the licenses can be found at https://www.apache.org/licenses/LICENSE-2.0
	# and https://creativecommons.org/licenses/by/4.0/legalcode.

	"""Pseudocode description of the Stochastic MuZero algorithm.

	This pseudocode was adapted from the original MuZero pseudocode.
	"""
	import jax.numpy as jnp
	from jax import random

	class JaxCartPole:
	"""
	Based on OpenAI Gym Cartpole
	https://github.com/openai/gym/blob/master/gym/envs/classic_control/cartpole.py
	"""
	def __init__(self):
	self.gravity = 9.8
	def init_weights(m, variance=1.0):

	def _calculate_fan_in_and_fan_out(tensor):
	dimensions = tensor.dim()
	if dimensions < 2:
	return 1, 1

	if dimensions == 2: # Linear
	fan_in = tensor.size(1)
	fan_out = tensor.size(0)
	import os
	import sys
	import shutil
	import multiprocessing as mp
	from itertools import repeat as re
	import dateparser
	import pytz
	import json
	import csv
	import datetime
	# WARNING: These steps seem to not work anymore!

	#!/bin/bash

	# Purge existign CUDA first
	sudo apt --purge remove "cublas" "cuda"
	sudo apt --purge remove "nvidia*"

	# Install CUDA Toolkit 10
	wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
	#!/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