{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "68a705f4-75fd-40db-80b6-75832507d351",
   "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-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",
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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-cuda-runtime-cu11==11.7.99\n",
      "  Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB)\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[?25hRequirement already satisfied: networkx in /opt/mamba/lib/python3.10/site-packages (from torch) (3.0)\n",
      "Requirement already satisfied: typing-extensions in /opt/mamba/lib/python3.10/site-packages (from torch) (4.5.0)\n",
      "Collecting filelock\n",
      "  Downloading filelock-3.12.0-py3-none-any.whl (10 kB)\n",
      "Collecting 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",
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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-cuda-cupti-cu11==11.7.101\n",
      "  Downloading nvidia_cuda_cupti_cu11-11.7.101-py3-none-manylinux1_x86_64.whl (11.8 MB)\n",
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      "\u001b[?25hCollecting 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[?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[31m26.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\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[?25hRequirement already satisfied: jinja2 in /opt/mamba/lib/python3.10/site-packages (from torch) (3.1.2)\n",
      "Collecting 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[?25hCollecting 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",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m102.6/102.6 MB\u001b[0m \u001b[31m18.6 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[?25hRequirement already satisfied: setuptools in /opt/mamba/lib/python3.10/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch) (65.6.3)\n",
      "Requirement already satisfied: wheel in /opt/mamba/lib/python3.10/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch) (0.40.0)\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[31m42.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25hCollecting lit\n",
      "  Downloading lit-16.0.5.tar.gz (138 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m138.0/138.0 kB\u001b[0m \u001b[31m36.3 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[31m39.0 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-16.0.5-py3-none-any.whl size=88175 sha256=1fe9896efa20dbc93d71b7b9edf1e711f9747bab4a9eab408eb6e602c545a35c\n",
      "  Stored in directory: /home/onyxia/.cache/pip/wheels/eb/02/84/d82f0b1a6098209edf7e3607be6cc592ebbc015a8a3127c68d\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",
      "Successfully installed cmake-3.26.3 filelock-3.12.0 lit-16.0.5 mpmath-1.3.0 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1 nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91 sympy-1.12 torch-2.0.1 triton-2.0.0\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install torch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d9ac81c3-a1f2-410b-8149-066e221cd33f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[0.9668, 0.9597, 0.8685, 0.7834, 0.2092, 0.4649, 0.0481, 0.6772, 0.9332],\n",
      "        [0.6208, 0.8358, 0.1524, 0.9033, 0.2402, 0.6693, 0.7865, 0.2774, 0.7989],\n",
      "        [0.3834, 0.6804, 0.3146, 0.0197, 0.5855, 0.1124, 0.0831, 0.1729, 0.1237]])\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "A = torch.rand(3,9)\n",
    "print(A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1e84f943-79dc-4155-aa37-7dd036e829d4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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