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979
+ }
980
+ }
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
+ "57d2cc22dcd146b28183e6b08fef78e1",
1156
+ "2ba71edaa79b49a1b416e1746020f735",
1157
+ "7ae4176080c3409fa18c041483e570df",
1158
+ "d8d50b4f46354036816a85a836a9ab8c",
1159
+ "28b4548881604ce9aca5b537c9263c32",
1160
+ "ad934b72e93342038b673e7008f6e122",
1161
+ "f0627894670b41969345227831b86b51",
1162
+ "60bbaf772c434ebcb54d5038eb0740f3",
1163
+ "562447ad0a764443aba444de820ca42c",
1164
+ "852ef1d1c2d94cb0ad15b6f3f7c91fe5",
1165
+ "fde506ecac6244f4a305aeffc1beb02a",
1166
+ "6d5645cc58bf46ef9e4f748d928c9fb6",
1167
+ "b81ff80c1ff84119b95f9a15881da7b1",
1168
+ "6638ab7ae7db460aa61485f830bbcd0a",
1169
+ "709c9c0818d344bd9ee729c294306e45"
1170
+ ]
1171
+ },
1172
+ "id": "_SURusNa2lZt",
1173
+ "outputId": "d7012a26-0ad6-4d3f-e08e-6140cfbbf569"
1174
+ },
1175
+ "execution_count": 9,
1176
+ "outputs": [
1177
+ {
1178
+ "output_type": "display_data",
1179
+ "data": {
1180
+ "text/plain": [
1181
+ "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
1182
+ ],
1183
+ "application/vnd.jupyter.widget-view+json": {
1184
+ "version_major": 2,
1185
+ "version_minor": 0,
1186
+ "model_id": "197637a1275b48778c87e68d500cce76"
1187
+ }
1188
+ },
1189
+ "metadata": {}
1190
+ }
1191
+ ]
1192
+ },
1193
+ {
1194
+ "cell_type": "code",
1195
+ "source": [
1196
+ "!mlagents-push-to-hf --run-id=\"HuggyTraining\" --local-dir=\"./results/Huggy\" --repo-id=\"ThomasSimonini/ppo-Huggy\" --commit-message=\"Huggy\""
1197
+ ],
1198
+ "metadata": {
1199
+ "colab": {
1200
+ "base_uri": "https://localhost:8080/"
1201
+ },
1202
+ "id": "D9jXQUft2lku",
1203
+ "outputId": "b609cf38-3aa4-40d0-abe3-7bcfb7cd00ea"
1204
+ },
1205
+ "execution_count": 10,
1206
+ "outputs": [
1207
+ {
1208
+ "output_type": "stream",
1209
+ "name": "stdout",
1210
+ "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
+ "Traceback (most recent call last):\n",
1213
+ " File \"/usr/local/bin/mlagents-push-to-hf\", line 33, in <module>\n",
1214
+ " 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
+ }
1224
+ ]
1225
+ }
1226
+ ]
1227
+ }