Archive all tensorflow agents and env
archive all TF py&ipynb turn face to pytorch.
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Aimbot-PPO-Python/Tensorflow/simple_test_env.ipynb
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61
Aimbot-PPO-Python/Tensorflow/simple_test_env.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"from mlagents_envs.environment import UnityEnvironment\n",
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"from gym_unity.envs import UnityToGymWrapper\n",
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"\n",
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"ENV_PATH = \"../Build-CloseEnemyCut/Aimbot-PPO\"\n",
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"WORKER_ID = 2\n",
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"BASE_PORT = 2002\n",
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"\n",
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"def main():\n",
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" unity_env = UnityEnvironment(file_name=ENV_PATH,seed = 1,side_channels=[],worker_id = WORKER_ID,base_port=BASE_PORT)\n",
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" env = UnityToGymWrapper(unity_env, uint8_visual=True,allow_multiple_obs=True)\n",
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" env.reset()\n",
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" for _ in range(1000):\n",
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" env.render()\n",
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" o,r,d,_ = env.step(env.action_space.sample()) #random action\n",
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" if d:\n",
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" env.reset()\n",
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" env.close() \n",
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" \n",
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"\n",
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"\n",
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"if __name__ == '__main__':\n",
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" main()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.9.7 64-bit",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "86e2db13b09bd6be22cb599ea60c1572b9ef36ebeaa27a4c8e961d6df315ac32"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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@ -582,16 +582,7 @@
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"from os import mkdir\n",
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"\n",
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"\n",
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"try:\n",
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" open(\"thisdir/51\",\"w\")\n",
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"except FileNotFoundError:\n",
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" mkdir(\"thisdir/\")\n",
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" open(\"thisdir/51\",\"w\")"
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]
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"source": []
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}
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],
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"metadata": {
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@ -1,84 +0,0 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[INFO] Connected to Unity environment with package version 2.0.0 and communication version 1.5.0\n",
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"[INFO] Connected new brain: AKMAgent?team=0\n",
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"[WARNING] uint8_visual was set to true, but visual observations are not in use. This setting will not have any effect.\n"
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]
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},
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{
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"ename": "UnityGymException",
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"evalue": "The gym wrapper does not provide explicit support for both discrete and continuous actions.",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mUnityGymException\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_10504/1419431386.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 20\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 21\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0m__name__\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'__main__'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 22\u001b[1;33m \u001b[0mmain\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_10504/1419431386.py\u001b[0m in \u001b[0;36mmain\u001b[1;34m()\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mmain\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 9\u001b[0m \u001b[0munity_env\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mUnityEnvironment\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfile_name\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mENV_PATH\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mseed\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mside_channels\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mworker_id\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mWORKER_ID\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mbase_port\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mBASE_PORT\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m \u001b[0menv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mUnityToGymWrapper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0munity_env\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0muint8_visual\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mallow_multiple_obs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 11\u001b[0m \u001b[0menv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreset\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0m_\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1000\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;32mc:\\Users\\UCUNI\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\gym_unity\\envs\\__init__.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, unity_env, uint8_visual, flatten_branched, allow_multiple_obs, action_space_seed)\u001b[0m\n\u001b[0;32m 128\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_action_space\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mspaces\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mBox\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mhigh\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mhigh\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfloat32\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 129\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 130\u001b[1;33m raise UnityGymException(\n\u001b[0m\u001b[0;32m 131\u001b[0m \u001b[1;34m\"The gym wrapper does not provide explicit support for both discrete \"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 132\u001b[0m \u001b[1;34m\"and continuous actions.\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;31mUnityGymException\u001b[0m: The gym wrapper does not provide explicit support for both discrete and continuous actions."
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]
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}
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],
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"source": [
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"from mlagents_envs.environment import UnityEnvironment\n",
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"from gym_unity.envs import UnityToGymWrapper\n",
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"\n",
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"ENV_PATH = './Build/Aimbot-PPO'\n",
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"WORKER_ID = 2\n",
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"BASE_PORT = 2002\n",
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"\n",
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"def main():\n",
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" unity_env = UnityEnvironment(file_name=ENV_PATH,seed = 1,side_channels=[],worker_id = WORKER_ID,base_port=BASE_PORT)\n",
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" env = UnityToGymWrapper(unity_env, uint8_visual=True,allow_multiple_obs=True)\n",
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" env.reset()\n",
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" for _ in range(1000):\n",
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" env.render()\n",
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" o,r,d,_ = env.step(env.action_space.sample()) #random action\n",
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" if d:\n",
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" env.reset()\n",
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" env.close() \n",
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" \n",
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"\n",
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"\n",
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"if __name__ == '__main__':\n",
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" main()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.9.7 64-bit",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "86e2db13b09bd6be22cb599ea60c1572b9ef36ebeaa27a4c8e961d6df315ac32"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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