Issue_zeroes_multiplication.ipynb

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    "import torch\n",
    "import numpy as np\n",
    "import crypten\n",
    "crypten.init()\n",
    "torch.set_num_threads(1)"
   ]
  },
  {
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   "id": "f6a20290",
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      "/home/anmol/anaconda3/envs/crypten37/lib/python3.7/site-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.\n",
      "To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.)\n",
      "  return torch.floor_divide(self, other)\n",
      "/home/anmol/anaconda3/envs/crypten37/lib/python3.7/site-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.\n",
      "To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.)\n",
      "  return torch.floor_divide(self, other)\n",
      "/home/anmol/anaconda3/envs/crypten37/lib/python3.7/site-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.\n",
      "To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.)\n",
      "  return torch.floor_divide(self, other)\n",
      "/home/anmol/anaconda3/envs/crypten37/lib/python3.7/site-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.\n",
      "To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.)\n",
      "  return torch.floor_divide(self, other)\n",
      "/home/anmol/anaconda3/envs/crypten37/lib/python3.7/site-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.\n",
      "To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.)\n",
      "  return torch.floor_divide(self, other)\n",
      "/home/anmol/anaconda3/envs/crypten37/lib/python3.7/site-packages/torch/_tensor_str.py:98: UserWarning: Leaking Caffe2 thread-pool after fork. (Triggered internally at  /pytorch/caffe2/utils/threadpool/pthreadpool-cpp.cc:90.)\n",
      "  nonzero_finite_min = nonzero_finite_abs.min().double()\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([-4.2950e+09,  1.5259e-05,  0.0000e+00,  1.5259e-05, -4.2950e+09])\n"
     ]
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     "data": {
      "text/plain": [
       "[None, None, None, None, None]"
      ]
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     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import crypten.mpc as mpc\n",
    "import crypten.communicator as comm\n",
    "from crypten.communicator.communicator import _logging\n",
    "\n",
    "zero_array = np.zeros((5,5))\n",
    "\n",
    "@mpc.run_multiprocess(world_size=5)\n",
    "def check_zero():\n",
    "    rank = comm.get().get_rank()\n",
    "    zero1 = crypten.cryptensor(zero_array[0],src=0)\n",
    "    zero2 = crypten.cryptensor(zero_array[0],src=0)\n",
    "    zero3 = zero1*zero2\n",
    "    crypten.print(zero3.get_plain_text())\n",
    "check_zero()"
   ]
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   "execution_count": null,
   "id": "6680f0f2",
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