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Upload MyDogHuggy.ipynb
#8
by
Alfaisal101
- opened
- MyDogHuggy.ipynb +1227 -0
MyDogHuggy.ipynb
ADDED
@@ -0,0 +1,1227 @@
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1 |
+
{
|
2 |
+
"nbformat": 4,
|
3 |
+
"nbformat_minor": 0,
|
4 |
+
"metadata": {
|
5 |
+
"colab": {
|
6 |
+
"provenance": [],
|
7 |
+
"gpuType": "T4"
|
8 |
+
},
|
9 |
+
"kernelspec": {
|
10 |
+
"name": "python3",
|
11 |
+
"display_name": "Python 3"
|
12 |
+
},
|
13 |
+
"language_info": {
|
14 |
+
"name": "python"
|
15 |
+
},
|
16 |
+
"accelerator": "GPU",
|
17 |
+
"widgets": {
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18 |
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"application/vnd.jupyter.widget-state+json": {
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19 |
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"197637a1275b48778c87e68d500cce76": {
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20 |
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"model_module": "@jupyter-widgets/controls",
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21 |
+
"model_name": "VBoxModel",
|
22 |
+
"model_module_version": "1.5.0",
|
23 |
+
"state": {
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24 |
+
"_dom_classes": [],
|
25 |
+
"_model_module": "@jupyter-widgets/controls",
|
26 |
+
"_model_module_version": "1.5.0",
|
27 |
+
"_model_name": "VBoxModel",
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28 |
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"_view_count": null,
|
29 |
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"_view_module": "@jupyter-widgets/controls",
|
30 |
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"_view_module_version": "1.5.0",
|
31 |
+
"_view_name": "VBoxView",
|
32 |
+
"box_style": "",
|
33 |
+
"children": [
|
34 |
+
"IPY_MODEL_d8d50b4f46354036816a85a836a9ab8c",
|
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"state": {
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"_model_module": "@jupyter-widgets/controls",
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"_model_module_version": "1.5.0",
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"_model_name": "DescriptionStyleModel",
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"_view_count": null,
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"_view_module_version": "1.2.0",
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"_view_name": "StyleView",
|
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"description_width": ""
|
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}
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}
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}
|
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}
|
981 |
+
},
|
982 |
+
"cells": [
|
983 |
+
{
|
984 |
+
"cell_type": "code",
|
985 |
+
"execution_count": 2,
|
986 |
+
"metadata": {
|
987 |
+
"id": "6WNoL04M7rTa"
|
988 |
+
},
|
989 |
+
"outputs": [],
|
990 |
+
"source": [
|
991 |
+
"%%capture\n",
|
992 |
+
"# Clone the repository (can take 3min)\n",
|
993 |
+
"!git clone --depth 1 https://github.com/Unity-Technologies/ml-agents"
|
994 |
+
]
|
995 |
+
},
|
996 |
+
{
|
997 |
+
"cell_type": "code",
|
998 |
+
"source": [
|
999 |
+
"%%capture\n",
|
1000 |
+
"# Go inside the repository and install the package (can take 3min)\n",
|
1001 |
+
"%cd ml-agents\n",
|
1002 |
+
"!pip3 install -e ./ml-agents-envs\n",
|
1003 |
+
"!pip3 install -e ./ml-agents"
|
1004 |
+
],
|
1005 |
+
"metadata": {
|
1006 |
+
"id": "DOHT2iB7yLZH"
|
1007 |
+
},
|
1008 |
+
"execution_count": 3,
|
1009 |
+
"outputs": []
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"cell_type": "code",
|
1013 |
+
"execution_count": 4,
|
1014 |
+
"metadata": {
|
1015 |
+
"id": "C9Ls6_6eOKiA"
|
1016 |
+
},
|
1017 |
+
"outputs": [],
|
1018 |
+
"source": [
|
1019 |
+
"!mkdir ./trained-envs-executables\n",
|
1020 |
+
"!mkdir ./trained-envs-executables/linux"
|
1021 |
+
]
|
1022 |
+
},
|
1023 |
+
{
|
1024 |
+
"cell_type": "code",
|
1025 |
+
"source": [
|
1026 |
+
"!wget \"https://github.com/huggingface/Huggy/raw/main/Huggy.zip\" -O ./trained-envs-executables/linux/Huggy.zip"
|
1027 |
+
],
|
1028 |
+
"metadata": {
|
1029 |
+
"colab": {
|
1030 |
+
"base_uri": "https://localhost:8080/"
|
1031 |
+
},
|
1032 |
+
"id": "c--QZt_ayLbV",
|
1033 |
+
"outputId": "c8f5f3d5-80b7-4d97-b7b1-568a3ca5d64a"
|
1034 |
+
},
|
1035 |
+
"execution_count": 5,
|
1036 |
+
"outputs": [
|
1037 |
+
{
|
1038 |
+
"output_type": "stream",
|
1039 |
+
"name": "stdout",
|
1040 |
+
"text": [
|
1041 |
+
"--2024-02-23 11:50:39-- https://github.com/huggingface/Huggy/raw/main/Huggy.zip\n",
|
1042 |
+
"Resolving github.com (github.com)... 140.82.114.3\n",
|
1043 |
+
"Connecting to github.com (github.com)|140.82.114.3|:443... connected.\n",
|
1044 |
+
"HTTP request sent, awaiting response... 302 Found\n",
|
1045 |
+
"Location: https://media.githubusercontent.com/media/huggingface/Huggy/main/Huggy.zip [following]\n",
|
1046 |
+
"--2024-02-23 11:50:40-- https://media.githubusercontent.com/media/huggingface/Huggy/main/Huggy.zip\n",
|
1047 |
+
"Resolving media.githubusercontent.com (media.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
|
1048 |
+
"Connecting to media.githubusercontent.com (media.githubusercontent.com)|185.199.108.133|:443... connected.\n",
|
1049 |
+
"HTTP request sent, awaiting response... 200 OK\n",
|
1050 |
+
"Length: 39214997 (37M) [application/zip]\n",
|
1051 |
+
"Saving to: ‘./trained-envs-executables/linux/Huggy.zip’\n",
|
1052 |
+
"\n",
|
1053 |
+
"./trained-envs-exec 100%[===================>] 37.40M 221MB/s in 0.2s \n",
|
1054 |
+
"\n",
|
1055 |
+
"2024-02-23 11:50:42 (221 MB/s) - ‘./trained-envs-executables/linux/Huggy.zip’ saved [39214997/39214997]\n",
|
1056 |
+
"\n"
|
1057 |
+
]
|
1058 |
+
}
|
1059 |
+
]
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"cell_type": "code",
|
1063 |
+
"source": [
|
1064 |
+
"%%capture\n",
|
1065 |
+
"!unzip -d ./trained-envs-executables/linux/ ./trained-envs-executables/linux/Huggy.zip"
|
1066 |
+
],
|
1067 |
+
"metadata": {
|
1068 |
+
"id": "vowa1oKhyLcn"
|
1069 |
+
},
|
1070 |
+
"execution_count": 6,
|
1071 |
+
"outputs": []
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"cell_type": "code",
|
1075 |
+
"source": [
|
1076 |
+
"!chmod -R 755 ./trained-envs-executables/linux/Huggy"
|
1077 |
+
],
|
1078 |
+
"metadata": {
|
1079 |
+
"id": "ozPPLU1_yLg-"
|
1080 |
+
},
|
1081 |
+
"execution_count": 7,
|
1082 |
+
"outputs": []
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"cell_type": "code",
|
1086 |
+
"source": [
|
1087 |
+
"!mlagents-learn ./config/ppo/Huggy.yaml --env=./trained-envs-executables/linux/Huggy/Huggy --run-id=\"Huggy2\" --no-graphics"
|
1088 |
+
],
|
1089 |
+
"metadata": {
|
1090 |
+
"colab": {
|
1091 |
+
"base_uri": "https://localhost:8080/"
|
1092 |
+
},
|
1093 |
+
"id": "wI1jZsj9yLkZ",
|
1094 |
+
"outputId": "159df410-fade-4c62-f20c-da3af985145b"
|
1095 |
+
},
|
1096 |
+
"execution_count": 8,
|
1097 |
+
"outputs": [
|
1098 |
+
{
|
1099 |
+
"output_type": "stream",
|
1100 |
+
"name": "stdout",
|
1101 |
+
"text": [
|
1102 |
+
"/usr/local/lib/python3.10/dist-packages/torch/__init__.py:696: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at ../torch/csrc/tensor/python_tensor.cpp:451.)\n",
|
1103 |
+
" _C._set_default_tensor_type(t)\n",
|
1104 |
+
"Traceback (most recent call last):\n",
|
1105 |
+
" File \"/content/ml-agents/ml-agents/mlagents/trainers/cli_utils.py\", line 322, in load_config\n",
|
1106 |
+
" with open(config_path) as data_file:\n",
|
1107 |
+
"FileNotFoundError: [Errno 2] No such file or directory: './config/ppo/Huggy.yaml'\n",
|
1108 |
+
"\n",
|
1109 |
+
"During handling of the above exception, another exception occurred:\n",
|
1110 |
+
"\n",
|
1111 |
+
"Traceback (most recent call last):\n",
|
1112 |
+
" File \"/usr/local/bin/mlagents-learn\", line 33, in <module>\n",
|
1113 |
+
" sys.exit(load_entry_point('mlagents', 'console_scripts', 'mlagents-learn')())\n",
|
1114 |
+
" File \"/content/ml-agents/ml-agents/mlagents/trainers/learn.py\", line 270, in main\n",
|
1115 |
+
" run_cli(parse_command_line())\n",
|
1116 |
+
" File \"/content/ml-agents/ml-agents/mlagents/trainers/learn.py\", line 56, in parse_command_line\n",
|
1117 |
+
" return RunOptions.from_argparse(args)\n",
|
1118 |
+
" File \"/content/ml-agents/ml-agents/mlagents/trainers/settings.py\", line 914, in from_argparse\n",
|
1119 |
+
" configured_dict.update(load_config(config_path))\n",
|
1120 |
+
" File \"/content/ml-agents/ml-agents/mlagents/trainers/cli_utils.py\", line 326, in load_config\n",
|
1121 |
+
" raise TrainerConfigError(f\"Config file could not be found at {abs_path}.\")\n",
|
1122 |
+
"mlagents.trainers.exception.TrainerConfigError: Config file could not be found at /content/ml-agents/config/ppo/Huggy.yaml.\n"
|
1123 |
+
]
|
1124 |
+
}
|
1125 |
+
]
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"cell_type": "code",
|
1129 |
+
"source": [
|
1130 |
+
"from huggingface_hub import notebook_login\n",
|
1131 |
+
"notebook_login()"
|
1132 |
+
],
|
1133 |
+
"metadata": {
|
1134 |
+
"colab": {
|
1135 |
+
"base_uri": "https://localhost:8080/",
|
1136 |
+
"height": 145,
|
1137 |
+
"referenced_widgets": [
|
1138 |
+
"197637a1275b48778c87e68d500cce76",
|
1139 |
+
"6aa5025c6a3449fbb777dbf8a896830b",
|
1140 |
+
"2de2db86ac374ab3ae2fca1d31c606a1",
|
1141 |
+
"624f416c6b304c69ba8b63b3ed4cf955",
|
1142 |
+
"d0bd4bc9686145c2bda27d0e6e63ecae",
|
1143 |
+
"cb52c33767e947d98829da69e646481b",
|
1144 |
+
"f3d8acdda2bd454f8c48b6d2e22e4090",
|
1145 |
+
"fec6dd813d094cde973025117de2ee1a",
|
1146 |
+
"466c139d8d884c348947436b31e36839",
|
1147 |
+
"4d04e5ea5c244c45ba3f27bbbd5e8453",
|
1148 |
+
"a3d4755688b44b41a5093403ac7f26a2",
|
1149 |
+
"776502ed96cd4b1894dee5dbb81785ad",
|
1150 |
+
"9b1b663a57f947fb9231eab7b7bbaf23",
|
1151 |
+
"e4d169f7d68f40bfa63fed62ed4ab071",
|
1152 |
+
"3d517e4e38b34656a70057f834a4a067",
|
1153 |
+
"05bf1791aa7340aa915fe3e380c3f915",
|
1154 |
+
"5ba6d696e13441c0a6d93c2d8fd038a6",
|
1155 |
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"7ae4176080c3409fa18c041483e570df",
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"d8d50b4f46354036816a85a836a9ab8c",
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"28b4548881604ce9aca5b537c9263c32",
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"ad934b72e93342038b673e7008f6e122",
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"f0627894670b41969345227831b86b51",
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1163 |
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"562447ad0a764443aba444de820ca42c",
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1164 |
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"b81ff80c1ff84119b95f9a15881da7b1",
|
1168 |
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"6638ab7ae7db460aa61485f830bbcd0a",
|
1169 |
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"709c9c0818d344bd9ee729c294306e45"
|
1170 |
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]
|
1171 |
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},
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1172 |
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"id": "_SURusNa2lZt",
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"outputId": "d7012a26-0ad6-4d3f-e08e-6140cfbbf569"
|
1174 |
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},
|
1175 |
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"execution_count": 9,
|
1176 |
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"outputs": [
|
1177 |
+
{
|
1178 |
+
"output_type": "display_data",
|
1179 |
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"data": {
|
1180 |
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"text/plain": [
|
1181 |
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"VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
|
1182 |
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],
|
1183 |
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"application/vnd.jupyter.widget-view+json": {
|
1184 |
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"version_major": 2,
|
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"version_minor": 0,
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"model_id": "197637a1275b48778c87e68d500cce76"
|
1187 |
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}
|
1188 |
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},
|
1189 |
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"metadata": {}
|
1190 |
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}
|
1191 |
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|
1192 |
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},
|
1193 |
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{
|
1194 |
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"cell_type": "code",
|
1195 |
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"source": [
|
1196 |
+
"!mlagents-push-to-hf --run-id=\"HuggyTraining\" --local-dir=\"./results/Huggy\" --repo-id=\"ThomasSimonini/ppo-Huggy\" --commit-message=\"Huggy\""
|
1197 |
+
],
|
1198 |
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"metadata": {
|
1199 |
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"colab": {
|
1200 |
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"base_uri": "https://localhost:8080/"
|
1201 |
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},
|
1202 |
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"id": "D9jXQUft2lku",
|
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"outputId": "b609cf38-3aa4-40d0-abe3-7bcfb7cd00ea"
|
1204 |
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},
|
1205 |
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"execution_count": 10,
|
1206 |
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"outputs": [
|
1207 |
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{
|
1208 |
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"output_type": "stream",
|
1209 |
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"name": "stdout",
|
1210 |
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"text": [
|
1211 |
+
"[INFO] This function will create a model card and upload your HuggyTraining into HuggingFace Hub. This is a work in progress: If you encounter a bug, please send open an issue\n",
|
1212 |
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"Traceback (most recent call last):\n",
|
1213 |
+
" File \"/usr/local/bin/mlagents-push-to-hf\", line 33, in <module>\n",
|
1214 |
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" sys.exit(load_entry_point('mlagents', 'console_scripts', 'mlagents-push-to-hf')())\n",
|
1215 |
+
" File \"/content/ml-agents/ml-agents/mlagents/utils/push_to_hf.py\", line 205, in main\n",
|
1216 |
+
" package_to_hub(\n",
|
1217 |
+
" File \"/content/ml-agents/ml-agents/mlagents/utils/push_to_hf.py\", line 159, in package_to_hub\n",
|
1218 |
+
" _generate_config(local_path, configfile_name)\n",
|
1219 |
+
" File \"/content/ml-agents/ml-agents/mlagents/utils/push_to_hf.py\", line 29, in _generate_config\n",
|
1220 |
+
" with open(os.path.join(local_dir, configfile_name)) as yaml_in:\n",
|
1221 |
+
"FileNotFoundError: [Errno 2] No such file or directory: 'results/Huggy/configuration.yaml'\n"
|
1222 |
+
]
|
1223 |
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}
|
1224 |
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]
|
1225 |
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}
|
1226 |
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]
|
1227 |
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}
|