Add notebooks

Experiments.ipynb

@@ -163,41 +163,6 @@
     "print(x.shape)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "f031f044",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class RemFXDataModule(pl.LightningDataModule):\n",
-    "    def __init__(self, data_dir: str = \"path/to/dir\", batch_size: int = 32):\n",
-    "        super().__init__()\n",
-    "        self.data_dir = Path(data_dir)\n",
-    "        self.batch_size = batch_size\n",
-    "\n",
-    "    def setup(self, stage: str):\n",
-    "#         self.guitar_test = GuitarDataset(self.data_dir, train=False)\n",
-    "#         self.guitar_predict = GuitarDataset(self.data_dir, train=False)\n",
-    "        guitar_full = GuitarDataset(self.data_dir)\n",
-    "        self.guitar_train, self.guitar_val = random_split(guitar_full, [55000, 5000])\n",
-    "\n",
-    "    def train_dataloader(self):\n",
-    "        return DataLoader(self.guitar_train, batch_size=self.batch_size)\n",
-    "\n",
-    "    def val_dataloader(self):\n",
-    "        return DataLoader(self.guitar_val, batch_size=self.batch_size)\n",
-    "\n",
-    "#     def test_dataloader(self):\n",
-    "#         return DataLoader(self.guitar_test, batch_size=self.batch_size)\n",
-    "\n",
-    "#     def predict_dataloader(self):\n",
-    "#         return DataLoader(self.guitar_predict, batch_size=self.batch_size)\n",
-    "\n",
-    "    def teardown(self, stage: str):\n",
-    "        pass"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 23,
@@ -380,93 +345,6 @@
    "source": [
     "Audio(z, rate=22050)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 258,
-   "id": "907c7dfb",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "tensor(0.6213, grad_fn=<MseLossBackward0>)\n"
-     ]
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 164,
-   "id": "698bc12e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "6890.625"
-      ]
-     },
-     "execution_count": 164,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "110250 / 16"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 165,
-   "id": "d4d8bb49",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "264600"
-      ]
-     },
-     "execution_count": 165,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "12 * 22050"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 166,
-   "id": "ecda7e0e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "16537.5"
-      ]
-     },
-     "execution_count": 166,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "264600 / 16"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a9980287",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

README.md

@@ -1 +1 @@
-Test
+