2021-04-06-experiment-re-init-layers.ipynb

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   "cell_type": "code",
   "execution_count": null,
   "id": "c8977447",
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   "source": [
    "import pytorch_lightning as pl\n",
    "\n",
    "from model import MnistModel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f90dcbd7",
   "metadata": {},
   "outputs": [],
   "source": [
    "mnist_model = MnistModel(freeze_last_layer=False)\n",
    "trainer = pl.Trainer(gpus=0, max_epochs=3, progress_bar_refresh_rate=20)\n",
    "trainer.fit(mnist_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "76426af3",
   "metadata": {},
   "outputs": [],
   "source": [
    "trainer.test(mnist_model)"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "2e2b7e38",
   "metadata": {},
   "outputs": [],
   "source": [
    "i_layer = 3 #between 0 and (n_layers - 1)\n",
    "mnist_model.reinit_layer(i_layer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36551d81",
   "metadata": {},
   "outputs": [],
   "source": [
    "trainer.test(mnist_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a9352765",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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