np.delete ported to PyTorch

torch_delete.ipynb

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        "import torch"
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    },
    {
      "cell_type": "code",
      "source": [
        "x = torch.arange(0, 9).view(3, 3)\n",
        "print(x)"
      ],
      "outputs": [
        {
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          "name": "stdout",
          "text": [
            "tensor([[0, 1, 2],\n",
            "        [3, 4, 5],\n",
            "        [6, 7, 8]])\n"
          ]
        }
      ],
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    },
    {
      "cell_type": "code",
      "source": [
        "def delete(arr: torch.Tensor, ind: int, dim: int) -> torch.Tensor:\n",
        "    skip = [i for i in range(arr.size(dim)) if i != ind]\n",
        "    indices = [slice(None) if i != dim else skip for i in range(arr.ndim)]\n",
        "    return arr.__getitem__(indices)"
      ],
      "outputs": [],
      "execution_count": 3,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "delete(x, 1, 1)"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 4,
          "data": {
            "text/plain": [
              "tensor([[0, 2],\n",
              "        [3, 5],\n",
              "        [6, 8]])"
            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 4,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
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      "outputs": [],
      "execution_count": 5,
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        "inputHidden": false
      }
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