{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b06cf4b-151f-4567-9505-eb8e9142d97c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting torch\n",
      "  Downloading torch-2.0.1-cp310-cp310-manylinux1_x86_64.whl (619.9 MB)\n",
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      "\u001b[?25hCollecting nvidia-cuda-nvrtc-cu11==11.7.99\n",
      "  Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB)\n",
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      "\u001b[?25hRequirement already satisfied: networkx in /opt/mamba/lib/python3.10/site-packages (from torch) (3.0)\n",
      "Collecting filelock\n",
      "  Downloading filelock-3.12.0-py3-none-any.whl (10 kB)\n",
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      "Collecting nvidia-cublas-cu11==11.10.3.66\n",
      "  Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB)\n",
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      "\u001b[?25hRequirement already satisfied: typing-extensions in /opt/mamba/lib/python3.10/site-packages (from torch) (4.5.0)\n",
      "Collecting nvidia-cusolver-cu11==11.4.0.1\n",
      "  Downloading nvidia_cusolver_cu11-11.4.0.1-2-py3-none-manylinux1_x86_64.whl (102.6 MB)\n",
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      "\u001b[?25hCollecting nvidia-cuda-cupti-cu11==11.7.101\n",
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      "\u001b[?25hCollecting nvidia-cusparse-cu11==11.7.4.91\n",
      "  Downloading nvidia_cusparse_cu11-11.7.4.91-py3-none-manylinux1_x86_64.whl (173.2 MB)\n",
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      "\u001b[?25hCollecting nvidia-nccl-cu11==2.14.3\n",
      "  Downloading nvidia_nccl_cu11-2.14.3-py3-none-manylinux1_x86_64.whl (177.1 MB)\n",
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      "\u001b[?25hCollecting nvidia-cufft-cu11==10.9.0.58\n",
      "  Downloading nvidia_cufft_cu11-10.9.0.58-py3-none-manylinux1_x86_64.whl (168.4 MB)\n",
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      "\u001b[?25hCollecting nvidia-nvtx-cu11==11.7.91\n",
      "  Downloading nvidia_nvtx_cu11-11.7.91-py3-none-manylinux1_x86_64.whl (98 kB)\n",
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      "\u001b[?25hCollecting nvidia-curand-cu11==10.2.10.91\n",
      "  Downloading nvidia_curand_cu11-10.2.10.91-py3-none-manylinux1_x86_64.whl (54.6 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54.6/54.6 MB\u001b[0m \u001b[31m22.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25hCollecting triton==2.0.0\n",
      "  Downloading triton-2.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (63.3 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m63.3/63.3 MB\u001b[0m \u001b[31m21.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25hCollecting sympy\n",
      "  Downloading sympy-1.12-py3-none-any.whl (5.7 MB)\n",
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      "\u001b[?25hCollecting nvidia-cuda-runtime-cu11==11.7.99\n",
      "  Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m849.3/849.3 kB\u001b[0m \u001b[31m48.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hCollecting nvidia-cudnn-cu11==8.5.0.96\n",
      "  Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m557.1/557.1 MB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: wheel in /opt/mamba/lib/python3.10/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch) (0.40.0)\n",
      "Requirement already satisfied: setuptools in /opt/mamba/lib/python3.10/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch) (65.6.3)\n",
      "Collecting cmake\n",
      "  Downloading cmake-3.26.3-py2.py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (24.0 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m24.0/24.0 MB\u001b[0m \u001b[31m39.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25hCollecting lit\n",
      "  Downloading lit-16.0.3.tar.gz (138 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m138.0/138.0 kB\u001b[0m \u001b[31m37.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25hRequirement already satisfied: MarkupSafe>=2.0 in /opt/mamba/lib/python3.10/site-packages (from jinja2->torch) (2.1.2)\n",
      "Collecting mpmath>=0.19\n",
      "  Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m536.2/536.2 kB\u001b[0m \u001b[31m36.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hBuilding wheels for collected packages: lit\n",
      "  Building wheel for lit (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for lit: filename=lit-16.0.3-py3-none-any.whl size=88173 sha256=fab13d3e76019e48ce7ffcb994dfb0afb531704874d382b6393e8fe0d8e574a8\n",
      "  Stored in directory: /home/onyxia/.cache/pip/wheels/d6/81/1c/a49ba782377339294cc45c9899927b61a92e58d6ad3ac942f7\n",
      "Successfully built lit\n",
      "Installing collected packages: mpmath, lit, cmake, sympy, nvidia-nvtx-cu11, nvidia-nccl-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cufft-cu11, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, filelock, nvidia-cusolver-cu11, nvidia-cudnn-cu11, triton, torch\n"
     ]
    }
   ],
   "source": [
    "pip install torch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "497d353b-6d5f-4561-9d78-851a27c08bb6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "torch.rand(2,4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b21b81ee-daad-40a2-828f-f09109e65b9b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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