Buckets:
| {"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyNzex53aq4LoX4SPyXw+Jfa"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"b7AptzAKoKWR","executionInfo":{"status":"ok","timestamp":1753263206245,"user_tz":-300,"elapsed":2143,"user":{"displayName":"yasirayaz","userId":"16209343256805536207"}},"outputId":"02e1703c-7582-4df6-99a2-f52c46cd9fdb"},"outputs":[{"output_type":"stream","name":"stdout","text":["Cloning into 'DAN'...\n","remote: Enumerating objects: 59, done.\u001b[K\n","remote: Counting objects: 100% (59/59), done.\u001b[K\n","remote: Compressing objects: 100% (55/55), done.\u001b[K\n","remote: Total 59 (delta 12), reused 40 (delta 3), pack-reused 0 (from 0)\u001b[K\n","Receiving objects: 100% (59/59), 14.58 MiB | 14.45 MiB/s, done.\n","Resolving deltas: 100% (12/12), done.\n","/content/DAN\n"]}],"source":["!git clone https://github.com/psm1206/DAN.git\n","%cd DAN\n"]},{"cell_type":"code","source":["!pip install -r requirements.txt\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"z6kz1sjqoPS8","executionInfo":{"status":"ok","timestamp":1753263225864,"user_tz":-300,"elapsed":7647,"user":{"displayName":"yasirayaz","userId":"16209343256805536207"}},"outputId":"28e6de99-2ebf-4e2b-a0c9-a86c4f8fa5e7"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting numpy==1.26.4 (from -r requirements.txt (line 1))\n"," Downloading numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m61.0/61.0 kB\u001b[0m \u001b[31m3.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hCollecting scipy==1.13.0 (from -r requirements.txt (line 2))\n"," Downloading scipy-1.13.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.6/60.6 kB\u001b[0m \u001b[31m4.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hCollecting sympy==1.12 (from -r requirements.txt (line 3))\n"," Downloading sympy-1.12-py3-none-any.whl.metadata (12 kB)\n","\u001b[31mERROR: Ignored the following versions that require a different python version: 1.21.2 Requires-Python >=3.7,<3.11; 1.21.3 Requires-Python >=3.7,<3.11; 1.21.4 Requires-Python >=3.7,<3.11; 1.21.5 Requires-Python >=3.7,<3.11; 1.21.6 Requires-Python >=3.7,<3.11; 1.6.2 Requires-Python >=3.7,<3.10; 1.6.3 Requires-Python >=3.7,<3.10; 1.7.0 Requires-Python >=3.7,<3.10; 1.7.1 Requires-Python >=3.7,<3.10; 1.7.2 Requires-Python >=3.7,<3.11; 1.7.3 Requires-Python >=3.7,<3.11; 1.8.0 Requires-Python >=3.8,<3.11; 1.8.0rc1 Requires-Python >=3.8,<3.11; 1.8.0rc2 Requires-Python >=3.8,<3.11; 1.8.0rc3 Requires-Python >=3.8,<3.11; 1.8.0rc4 Requires-Python >=3.8,<3.11; 1.8.1 Requires-Python >=3.8,<3.11\u001b[0m\u001b[31m\n","\u001b[0m\u001b[31mERROR: Could not find a version that satisfies the requirement torch==1.9.0 (from versions: 1.13.0, 1.13.1, 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0, 2.7.0, 2.7.1)\u001b[0m\u001b[31m\n","\u001b[0m\u001b[31mERROR: No matching distribution found for torch==1.9.0\u001b[0m\u001b[31m\n","\u001b[0m"]}]},{"cell_type":"code","source":["!chmod +x dan_lae.sh dan_ease.sh dan_rlae.sh\n"],"metadata":{"id":"upa4uKz-oZy8","executionInfo":{"status":"ok","timestamp":1753263400536,"user_tz":-300,"elapsed":123,"user":{"displayName":"yasirayaz","userId":"16209343256805536207"}}},"execution_count":3,"outputs":[]},{"cell_type":"code","source":["!sh dan_lae.sh\n","\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"NMlagPFHpGRp","executionInfo":{"status":"ok","timestamp":1753263442162,"user_tz":-300,"elapsed":19823,"user":{"displayName":"yasirayaz","userId":"16209343256805536207"}},"outputId":"3eb18a14-9cde-4caa-a5aa-a2b9451e6438"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["Current cuda device 0\n",">>SEED: 2020\n","\u001b[0;30;43mloading [../data/gowalla]\u001b[0m\n","23858 training users, 3000 valid users, 3000 test users, 40981 items\n","821316 interactions for training\n","19230 interactions for validation\n","19729 interactions for testing\n","gowalla is ready to go\n","===========config================\n","{'alpha': 0.2,\n"," 'beta': 0.3,\n"," 'diag_const': True,\n"," 'drop_p': 0.5,\n"," 'reg_p': 20.0,\n"," 'relax': True,\n"," 'test_u_batch_size': 4096,\n"," 'xi': 0.0}\n","cores for test: 1\n","Test Topks: [20, 100]\n","===========end===================\n","Current model: LAE_DAN\n","Killed\n"]}]},{"cell_type":"code","source":["!sh dan_ease.sh\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"fWPe7w8VpLoS","executionInfo":{"status":"ok","timestamp":1753263477049,"user_tz":-300,"elapsed":19244,"user":{"displayName":"yasirayaz","userId":"16209343256805536207"}},"outputId":"1b8cb161-8e7b-4129-9370-e1618769bb13"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["Current cuda device 0\n",">>SEED: 2020\n","\u001b[0;30;43mloading [../data/gowalla]\u001b[0m\n","23858 training users, 3000 valid users, 3000 test users, 40981 items\n","821316 interactions for training\n","19230 interactions for validation\n","19729 interactions for testing\n","gowalla is ready to go\n","===========config================\n","{'alpha': 0.2,\n"," 'beta': 0.3,\n"," 'diag_const': True,\n"," 'drop_p': 0.6,\n"," 'reg_p': 20.0,\n"," 'relax': True,\n"," 'test_u_batch_size': 4096,\n"," 'xi': 0.0}\n","cores for test: 1\n","Test Topks: [20, 100]\n","===========end===================\n","Current model: EASE_DAN\n","Killed\n"]}]},{"cell_type":"code","source":["!sh dan_rlae.sh\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0OG59860pUSs","executionInfo":{"status":"ok","timestamp":1753263506915,"user_tz":-300,"elapsed":19737,"user":{"displayName":"yasirayaz","userId":"16209343256805536207"}},"outputId":"26052192-60f7-4520-d463-9a71ecbd2a32"},"execution_count":6,"outputs":[{"output_type":"stream","name":"stdout","text":["Current cuda device 0\n",">>SEED: 2020\n","\u001b[0;30;43mloading [../data/gowalla]\u001b[0m\n","23858 training users, 3000 valid users, 3000 test users, 40981 items\n","821316 interactions for training\n","19230 interactions for validation\n","19729 interactions for testing\n","gowalla is ready to go\n","===========config================\n","{'alpha': 0.2,\n"," 'beta': 0.3,\n"," 'diag_const': True,\n"," 'drop_p': 0.6,\n"," 'reg_p': 20.0,\n"," 'relax': True,\n"," 'test_u_batch_size': 4096,\n"," 'xi': 0.1}\n","cores for test: 1\n","Test Topks: [20, 100]\n","===========end===================\n","Current model: RLAE_DAN\n","Killed\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"D4i1M4RJpbdk"},"execution_count":null,"outputs":[]}]} |
Xet Storage Details
- Size:
- 7.24 kB
- Xet hash:
- 0e0ced12cc3f7aec4fdb8b543327e87f87ff5aed315538f668a0b950498a1faa
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.