rlan / mnist_ray_pytorch_lightning.py

Last active July 14, 2023 10:32

MNIST training starter kit with Ray, PyTorch Lightning and PyTorch

	"""
	MNIST PyTorch Lightning Example

	Ref: https://docs.ray.io/en/latest/tune/examples/includes/mnist_ptl_mini.html
	"""

	import math

	import torch
	from filelock import FileLock

rlan / nfs_no_limit_materials_chart.md

Last active March 18, 2022 11:58

NFS no limit materials chart

Materials

Generic

rlan / onenote_vs_evernote.md

Last active March 4, 2022 00:53

OneNote vs EverNote

	Evernote	OneNote	Trello
Free	N	Y	Y
Fast UI	Y	Y	N
Offline mode	Y	Y	Y (mobile app only)
Google Drive integration	Y (documents yes, folders not sure)	N	Y
iOS app	Y	Y	Y
macOS app	Y	Y	Y

rlan / simple_corridor.py

Created October 6, 2021 03:50

	"""
	Reference: https://github.com/ray-project/ray/blob/f8a91c7fad248b1c7f81fd6d30191ac930a92bc4/rllib/examples/env/simple_corridor.py

	Fixes:
	ValueError: ('Observation ({}) outside given space ({})!', array([0.]), Box([0.], [999.], (1,), float32))
	"""

	import gym
	from gym.spaces import Box, Discrete
	import numpy as np

rlan / imagenet.sh

Last active July 30, 2021 11:06 — forked from sharma0611/imagenet.sh

ImageNet Preparation for PyTorch torch vision.datasets.imagenet

	#!/bin/bash
	#
	# These files should exist:
	# $ ls
	# ILSVRC2012_devkit_t12.tar.gz ILSVRC2012_img_train.tar ILSVRC2012_img_val.tar
	#
	# When this script is finished:
	# $ ls
	# imagenet ILSVRC2012_devkit_t12.tar.gz ILSVRC2012_img_train.tar ILSVRC2012_img_val.tar
	# $ ls imagenet

rlan / requirements.txt

Last active December 26, 2023 04:57

twin-investing

rlan / 45231.log

Last active May 25, 2021 12:50

Ray ERROR worker.py:382 -- SystemExit was raised from the worker

	[2021-05-24 11:19:29,390 I 45231 22642740] core_worker.cc:136: Constructing CoreWorkerProcess. pid: 45231
	[2021-05-24 11:19:29,392 I 45231 22642740] core_worker.cc:356: Constructing CoreWorker, worker_id: 4cb7089af9b4fdf0d82db7aab34b6c55f5d2c379ec4c51d827347638
	[2021-05-24 11:19:29,393 I 45231 22642740] grpc_server.cc:71: worker server started, listening on port 56935.
	[2021-05-24 11:19:29,398 I 45231 22642740] core_worker.cc:420: Initializing worker at address: 192.168.1.219:56935, worker ID 4cb7089af9b4fdf0d82db7aab34b6c55f5d2c379ec4c51d827347638, raylet 72987f65065c125c627d638cb028d79918cf2929f7353e4ade347e19
	[2021-05-24 11:19:29,407 I 45231 22642740] core_worker.cc:285: Worker 4cb7089af9b4fdf0d82db7aab34b6c55f5d2c379ec4c51d827347638 is created.
	[2021-05-24 11:19:29,407 I 45231 22642740] io_service_pool.cc:35: IOServicePool is running with 1 io_service.
	[2021-05-24 11:19:29,407 I 45231 22644291] service_based_accessor.cc:579: Received notification for node id = 72987f65065c125c627d638cb028d79918cf2929f7353

rlan / simple_corridor.py

Last active October 6, 2021 03:53

A starter example that trains, checkpoints and evaluates a RL algorithm in RLlib

	"""
	Reference: https://github.com/ray-project/ray/blob/f8a91c7fad248b1c7f81fd6d30191ac930a92bc4/rllib/examples/env/simple_corridor.py

	Fixes:
	ValueError: ('Observation ({}) outside given space ({})!', array([0.]), Box([0.], [999.], (1,), float32))
	"""

	import gym
	from gym.spaces import Box, Discrete
	import numpy as np

rlan / merge_callbacks.py

Created April 27, 2021 04:14

Merge callbacks for any number of DefaultCallbacks classes in RLlib

	from typing import Dict, List, Optional, TYPE_CHECKING
	from ray.rllib.agents.callbacks import DefaultCallbacks

	from ray.rllib.env import BaseEnv
	from ray.rllib.policy import Policy
	from ray.rllib.policy.sample_batch import SampleBatch
	from ray.rllib.evaluation import MultiAgentEpisode
	from ray.rllib.utils.annotations import PublicAPI
	from ray.rllib.utils.deprecation import deprecation_warning
	from ray.rllib.utils.typing import AgentID, PolicyID

rlan / python_venv_ubuntu_20.04.md

Last active September 17, 2020 05:19

How to create a Python virtual environment on Ubuntu 20.04

Ubuntu 20.04 uses python 3.8.

Install virtual environment tool:

sudo apt update
sudo apt install python3-venv

Create a virtual environment for Python: