Removing a print from the dataloader that was used to debug it.

aidos-lab · Apr 26, 2024 · 147b3df · 147b3df
1 parent 4eba211
commit 147b3df
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Showing 2 changed files with 25 additions and 90 deletions.
diff --git a/experiment_scconv.ipynb b/experiment_scconv.ipynb
@@ -10,28 +10,16 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-26T15:57:14.612479Z",
-     "start_time": "2024-04-26T15:57:14.576630Z"
+     "end_time": "2024-04-26T16:28:15.561570Z",
+     "start_time": "2024-04-26T16:28:15.523217Z"
     }
    },
    "id": "e1447e3b250fa124",
    "execution_count": 1
   },
   {
    "cell_type": "code",
-   "outputs": [
-    {
-     "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'topomodelx'",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[1;31mModuleNotFoundError\u001B[0m                       Traceback (most recent call last)",
-      "Cell \u001B[1;32mIn[35], line 7\u001B[0m\n\u001B[0;32m      5\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01mmantra\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mtransforms\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m OrientableToClassTransform, SimplicialComplexTransform\n\u001B[0;32m      6\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01mmantra\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mdataloaders\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m SimplicialDataLoader\n\u001B[1;32m----> 7\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01mtopomodelx\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mutils\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01msparse\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m from_sparse\n",
-      "\u001B[1;31mModuleNotFoundError\u001B[0m: No module named 'topomodelx'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from mantra.simplicial import SimplicialDataset\n",
     "import torch\n",
@@ -44,12 +32,12 @@
    "metadata": {
     "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2024-04-26T16:17:56.006222Z",
-     "start_time": "2024-04-26T16:17:55.890296Z"
+     "end_time": "2024-04-26T16:28:21.920472Z",
+     "start_time": "2024-04-26T16:28:16.229989Z"
     }
    },
    "id": "initial_id",
-   "execution_count": 35
+   "execution_count": 2
   },
   {
    "cell_type": "code",
@@ -77,12 +65,12 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-26T16:16:25.339696Z",
-     "start_time": "2024-04-26T16:16:25.243304Z"
+     "end_time": "2024-04-26T16:28:22.571244Z",
+     "start_time": "2024-04-26T16:28:22.459092Z"
     }
    },
    "id": "258c13ed23fc24a9",
-   "execution_count": 32
+   "execution_count": 3
   },
   {
    "cell_type": "code",
@@ -94,90 +82,38 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-26T16:16:25.802979Z",
-     "start_time": "2024-04-26T16:16:25.696147Z"
+     "end_time": "2024-04-26T16:28:23.596726Z",
+     "start_time": "2024-04-26T16:28:23.475386Z"
     }
    },
    "id": "b7a030f18bfe7035",
-   "execution_count": 33
+   "execution_count": 4
   },
   {
    "cell_type": "code",
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[tensor([[3.],\n",
-      "        [3.],\n",
-      "        [3.],\n",
-      "        [3.]]), tensor([[4.],\n",
-      "        [3.],\n",
-      "        [4.],\n",
-      "        [4.],\n",
-      "        [3.]]), tensor([[5.],\n",
-      "        [3.],\n",
-      "        [4.],\n",
-      "        [5.],\n",
-      "        [4.],\n",
-      "        [3.]])]\n",
-      "[tensor([[4., 4.],\n",
-      "        [4., 4.],\n",
-      "        [4., 4.],\n",
-      "        [4., 4.],\n",
-      "        [4., 4.],\n",
-      "        [4., 4.]]), tensor([[5., 4.],\n",
-      "        [6., 4.],\n",
-      "        [6., 4.],\n",
-      "        [5., 4.],\n",
-      "        [5., 4.],\n",
-      "        [5., 4.],\n",
-      "        [6., 4.],\n",
-      "        [5., 4.],\n",
-      "        [5., 4.]]), tensor([[6., 4.],\n",
-      "        [7., 4.],\n",
-      "        [8., 4.],\n",
-      "        [7., 4.],\n",
-      "        [6., 4.],\n",
-      "        [5., 4.],\n",
-      "        [6., 4.],\n",
-      "        [7., 4.],\n",
-      "        [6., 4.],\n",
-      "        [7., 4.],\n",
-      "        [6., 4.],\n",
-      "        [5., 4.]])]\n",
-      "[tensor([[3.],\n",
-      "        [3.],\n",
-      "        [3.],\n",
-      "        [3.]]), tensor([[3.],\n",
-      "        [3.],\n",
-      "        [3.],\n",
-      "        [3.],\n",
-      "        [3.],\n",
-      "        [3.]]), tensor([[3.],\n",
-      "        [3.],\n",
-      "        [3.],\n",
-      "        [3.],\n",
-      "        [3.],\n",
-      "        [3.],\n",
-      "        [3.],\n",
-      "        [3.]])]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Take the first batch\n",
     "batch, signals_belonging, len_batch = next(iter(dloader))"
    ],
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-26T16:16:32.741466Z",
-     "start_time": "2024-04-26T16:16:32.618291Z"
+     "end_time": "2024-04-26T16:28:38.535498Z",
+     "start_time": "2024-04-26T16:28:38.340151Z"
     }
    },
    "id": "3220794957955b0f",
-   "execution_count": 34
+   "execution_count": 6
+  },
+  {
+   "cell_type": "code",
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   },
+   "id": "d8a128eef9a65999"
   }
  ],
  "metadata": {

diff --git a/mantra/dataloaders.py b/mantra/dataloaders.py
@@ -22,7 +22,6 @@ def __init__(
 
 
 def batch_signals(signals):
-    print(signals)
     return torch.cat(signals, dim=0)
Original file line number	Diff line number	Diff line change
Expand Up		@@ -22,7 +22,6 @@ def __init__(


		def batch_signals(signals):
		print(signals)
		return torch.cat(signals, dim=0)


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