generated from fastai/fastpages
-
Notifications
You must be signed in to change notification settings - Fork 2
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #17 from recohut/stage
Stage
- Loading branch information
Showing
30 changed files
with
1,262 additions
and
1 deletion.
There are no files selected for viewing
Large diffs are not rendered by default.
Oops, something went wrong.
Large diffs are not rendered by default.
Oops, something went wrong.
Large diffs are not rendered by default.
Oops, something went wrong.
Large diffs are not rendered by default.
Oops, something went wrong.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1 @@ | ||
{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"2022-01-22-gridworld-v2.ipynb","provenance":[{"file_id":"https://github.com/recohut/nbs/blob/main/raw/T195475%20%7C%20Building%20a%20simple%20Gridworld%20v2%20Environment.ipynb","timestamp":1644661456841}],"collapsed_sections":[],"authorship_tag":"ABX9TyOwZY30b1nrplHKfmgzUJ8x"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","metadata":{"id":"2_l6TVZdgsOl"},"source":["# Building a simple Gridworld v2 Environment"]},{"cell_type":"code","metadata":{"id":"IB4O1CBZtogr"},"source":["import gym\n","import numpy as np"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"fLP8mGdPtrxQ"},"source":["class GridworldV2Env(gym.Env):\n"," def __init__(self, step_cost=-0.2, max_ep_length=500, explore_start=False):\n"," self.index_to_coordinate_map = {\n"," \"0\": [0, 0],\n"," \"1\": [0, 1],\n"," \"2\": [0, 2],\n"," \"3\": [0, 3],\n"," \"4\": [1, 0],\n"," \"5\": [1, 1],\n"," \"6\": [1, 2],\n"," \"7\": [1, 3],\n"," \"8\": [2, 0],\n"," \"9\": [2, 1],\n"," \"10\": [2, 2],\n"," \"11\": [2, 3],\n"," }\n"," self.coordinate_to_index_map = {\n"," str(val): int(key) for key, val in self.index_to_coordinate_map.items()\n"," }\n"," self.map = np.zeros((3, 4))\n"," self.observation_space = gym.spaces.Discrete(1)\n"," self.distinct_states = [str(i) for i in range(12)]\n"," self.goal_coordinate = [0, 3]\n"," self.bomb_coordinate = [1, 3]\n"," self.wall_coordinate = [1, 1]\n"," self.goal_state = self.coordinate_to_index_map[str(self.goal_coordinate)] # 3\n"," self.bomb_state = self.coordinate_to_index_map[str(self.bomb_coordinate)] # 7\n"," self.map[self.goal_coordinate[0]][self.goal_coordinate[1]] = 1\n"," self.map[self.bomb_coordinate[0]][self.bomb_coordinate[1]] = -1\n"," self.map[self.wall_coordinate[0]][self.wall_coordinate[1]] = 2\n","\n"," self.exploring_starts = explore_start\n"," self.state = 8\n"," self.done = False\n"," self.max_ep_length = max_ep_length\n"," self.steps = 0\n"," self.step_cost = step_cost\n"," self.action_space = gym.spaces.Discrete(4)\n"," self.action_map = {\"UP\": 0, \"RIGHT\": 1, \"DOWN\": 2, \"LEFT\": 3}\n"," self.possible_actions = list(self.action_map.values())\n","\n"," def reset(self):\n"," self.done = False\n"," self.steps = 0\n"," self.map = np.zeros((3, 4))\n"," self.map[self.goal_coordinate[0]][self.goal_coordinate[1]] = 1\n"," self.map[self.bomb_coordinate[0]][self.bomb_coordinate[1]] = -1\n"," self.map[self.wall_coordinate[0]][self.wall_coordinate[1]] = 2\n","\n"," if self.exploring_starts:\n"," self.state = np.random.choice([0, 1, 2, 4, 6, 8, 9, 10, 11])\n"," else:\n"," self.state = 8\n"," return self.state\n","\n"," def get_next_state(self, current_position, action):\n","\n"," next_state = self.index_to_coordinate_map[str(current_position)].copy()\n","\n"," if action == 0 and next_state[0] != 0 and next_state != [2, 1]:\n"," # Move up\n"," next_state[0] -= 1\n"," elif action == 1 and next_state[1] != 3 and next_state != [1, 0]:\n"," # Move right\n"," next_state[1] += 1\n"," elif action == 2 and next_state[0] != 2 and next_state != [0, 1]:\n"," # Move down\n"," next_state[0] += 1\n"," elif action == 3 and next_state[1] != 0 and next_state != [1, 2]:\n"," # Move left\n"," next_state[1] -= 1\n"," else:\n"," pass\n"," return self.coordinate_to_index_map[str(next_state)]\n","\n"," def step(self, action):\n"," assert action in self.possible_actions, f\"Invalid action:{action}\"\n","\n"," current_position = self.state\n"," next_state = self.get_next_state(current_position, action)\n","\n"," self.steps += 1\n","\n"," if next_state == self.goal_state:\n"," reward = 1\n"," self.done = True\n","\n"," elif next_state == self.bomb_state:\n"," reward = -1\n"," self.done = True\n"," else:\n"," reward = self.step_cost\n","\n"," if self.steps == self.max_ep_length:\n"," self.done = True\n","\n"," self.state = next_state\n"," return next_state, reward, self.done"],"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"m56HRuQatzsF"},"source":["---"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5OJ01_h1tzsI","executionInfo":{"status":"ok","timestamp":1638441388194,"user_tz":-330,"elapsed":3753,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"}},"outputId":"db7eed13-feb9-4a28-88d5-cd8e5398bc76"},"source":["!pip install -q watermark\n","%reload_ext watermark\n","%watermark -a \"Sparsh A.\" -m -iv -u -t -d"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Author: Sparsh A.\n","\n","Last updated: 2021-12-02 10:36:30\n","\n","Compiler : GCC 7.5.0\n","OS : Linux\n","Release : 5.4.104+\n","Machine : x86_64\n","Processor : x86_64\n","CPU cores : 2\n","Architecture: 64bit\n","\n","numpy : 1.19.5\n","gym : 0.17.3\n","IPython: 5.5.0\n","\n"]}]},{"cell_type":"markdown","metadata":{"id":"eGbBJ6D9tzsJ"},"source":["---"]},{"cell_type":"markdown","metadata":{"id":"EXVMZ6h8tzsL"},"source":["**END**"]}]} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1 @@ | ||
{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"2022-01-22-hydra.ipynb","provenance":[{"file_id":"https://github.com/recohut/nbs/blob/main/raw/T190327%20%7C%20Hydra%20Config%20Tutorial.ipynb","timestamp":1644661637862}],"collapsed_sections":[],"authorship_tag":"ABX9TyMpT76jrsxUy87Lt3Qc5c6r"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["# Hydra Config"],"metadata":{"id":"nBRHan-DeXBV"}},{"cell_type":"markdown","metadata":{"id":"jHVXYJ7MQYwd"},"source":["## Setup"]},{"cell_type":"code","metadata":{"id":"BPzpURI2Kp9l"},"source":["!pip install hydra-core --upgrade"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"71jYiqAmM2SI","executionInfo":{"status":"ok","timestamp":1632040631374,"user_tz":-330,"elapsed":13,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"}},"outputId":"ac7d2a11-eb8c-4256-d368-62325f7d21c3"},"source":["!mkdir -p myproject/src/conf\n","%cd myproject"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["/content/myproject\n"]}]},{"cell_type":"markdown","metadata":{"id":"4zugqsPaQasm"},"source":["### Simple example"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"J2mmqaHRMyE6","executionInfo":{"status":"ok","timestamp":1632040670527,"user_tz":-330,"elapsed":582,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"}},"outputId":"6e6b933e-4666-4453-c712-c18a49a58c0d"},"source":["%%writefile src/conf/config.yaml\n","db:\n"," driver: mysql\n"," user: omry\n"," pass: secret"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Writing src/conf/config.yaml\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"mh2ek6xINFAh","executionInfo":{"status":"ok","timestamp":1632040711122,"user_tz":-330,"elapsed":426,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"}},"outputId":"dd206dc7-14fc-427c-bf44-9131d7581fa4"},"source":["%%writefile src/myapp.py\n","import hydra\n","from omegaconf import DictConfig, OmegaConf\n","\n","@hydra.main(config_path=\"conf\", config_name=\"config\")\n","def my_app(cfg : DictConfig) -> None:\n"," print(OmegaConf.to_yaml(cfg))\n","\n","if __name__ == \"__main__\":\n"," my_app()"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Writing src/myapp.py\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Wynjkp-3NO-O","executionInfo":{"status":"ok","timestamp":1632040731123,"user_tz":-330,"elapsed":557,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"}},"outputId":"a6b12e5b-29b1-494a-eda6-7f91a830dbbe"},"source":["!python src/myapp.py"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["db:\n"," driver: mysql\n"," user: omry\n"," pass: secret\n","\n"]}]},{"cell_type":"markdown","metadata":{"id":"KMoYFqCeNTo2"},"source":["## Overriding with CLI"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bd4xmNwLQf6Q","executionInfo":{"status":"ok","timestamp":1632041586777,"user_tz":-330,"elapsed":1210,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"}},"outputId":"766d3b88-0f63-4726-f95e-e16eaf177070"},"source":["!python src/myapp.py db.user=root"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["db:\n"," driver: mysql\n"," user: root\n"," pass: secret\n","\n"]}]},{"cell_type":"markdown","metadata":{"id":"1aRv4kg3QkkE"},"source":["## Composition"]},{"cell_type":"code","metadata":{"id":"z25SD81jQwvv"},"source":["# ├── conf\n","# │ ├── config.yaml\n","# │ ├── db\n","# │ │ ├── mysql.yaml\n","# │ │ └── postgresql.yaml\n","# │ └── __init__.py\n","# └── my_app.py"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"Wn-emgSiQvPJ"},"source":["!mkdir -p src/conf/db"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ELp5mvIZQ0ti","executionInfo":{"status":"ok","timestamp":1632041735034,"user_tz":-330,"elapsed":664,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"}},"outputId":"91bff666-3bee-41c0-bbd8-3543c7606057"},"source":["%%writefile src/conf/db/mysql.yaml\n","driver: mysql\n","user: omry\n","pass: secret"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Writing src/conf/db/mysql.yaml\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"wtblOWVuRBz0","executionInfo":{"status":"ok","timestamp":1632041735765,"user_tz":-330,"elapsed":9,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"}},"outputId":"059fdf5d-708b-4fbd-b0ba-1ffce98d6226"},"source":["%%writefile src/conf/db/postgresql.yaml\n","driver: postgresql\n","user: root\n","pass: password"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Writing src/conf/db/postgresql.yaml\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"W989d2l7QpUL","executionInfo":{"status":"ok","timestamp":1632041747156,"user_tz":-330,"elapsed":705,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"}},"outputId":"69bc3dbe-7da3-4eec-d7ab-b1c0118ec18b"},"source":["%%writefile src/conf/config.yaml\n","defaults:\n"," - db: mysql"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Overwriting src/conf/config.yaml\n"]}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5ZKFdsXvRL1s","executionInfo":{"status":"ok","timestamp":1632041816763,"user_tz":-330,"elapsed":1378,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"}},"outputId":"1873b8bb-d287-44f2-c328-63f0c5c0eb1e"},"source":["!python src/myapp.py db=postgresql"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["db:\n"," driver: postgresql\n"," user: root\n"," pass: password\n","\n"]}]},{"cell_type":"markdown","metadata":{"id":"HzKORc9hRY_8"},"source":["## Multirun"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"LVAzTXItR078","executionInfo":{"status":"ok","timestamp":1632041935946,"user_tz":-330,"elapsed":1730,"user":{"displayName":"Sparsh Agarwal","photoUrl":"https://lh3.googleusercontent.com/a/default-user=s64","userId":"13037694610922482904"}},"outputId":"377c6c5d-8730-475a-8187-78869b8c6140"},"source":["!python src/myapp.py --multirun db=mysql,postgresql"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["[2021-09-19 08:58:53,036][HYDRA] Launching 2 jobs locally\n","[2021-09-19 08:58:53,036][HYDRA] \t#0 : db=mysql\n","db:\n"," driver: mysql\n"," user: omry\n"," pass: secret\n","\n","[2021-09-19 08:58:53,190][HYDRA] \t#1 : db=postgresql\n","db:\n"," driver: postgresql\n"," user: root\n"," pass: password\n","\n"]}]}]} |
Large diffs are not rendered by default.
Oops, something went wrong.
Oops, something went wrong.