state-dict-for-weight-norm-conv2d-doesnt-give-weight-g-and-weight-v-keys.ipynb

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   "cell_type": "code",
   "execution_count": 1,
   "id": "correct-hebrew",
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://discuss.pytorch.org/t/state-dict-for-weight-norm-conv2d-doesnt-give-weight-g-and-weight-v-keys/113876\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "general-nashville",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.8.0\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "\n",
    "print(torch.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "exceptional-chart",
   "metadata": {},
   "outputs": [],
   "source": [
    "class MyLinear(nn.Linear):\n",
    "    \n",
    "    def load_state_dict(self, *args, **kwargs):\n",
    "        print(\"calling load_state_dict\")\n",
    "        ret = super().load_state_dict(*args, **kwargs)\n",
    "        nn.utils.weight_norm(self)\n",
    "        \n",
    "        print(self._forward_pre_hooks)\n",
    "        \n",
    "        return _"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cross-violence",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calling load_state_dict\n",
      "OrderedDict([(0, <torch.nn.utils.weight_norm.WeightNorm object at 0x7f330aee42d0>)])\n",
      "my_linear True True True\n"
     ]
    }
   ],
   "source": [
    "linear = nn.Linear(16, 4)\n",
    "\n",
    "my_linear = MyLinear(16, 4)\n",
    "my_linear.load_state_dict(linear.state_dict())\n",
    "\n",
    "print(\"my_linear\", hasattr(my_linear, \"weight\"), hasattr(my_linear, \"weight_g\"), hasattr(my_linear, \"weight_v\"))"
   ]
  }
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