remove test blocks form notebooks

Author: ayasyrev

Nbs/00_ModelConstructor.ipynb

@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -49,22 +49,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "MXResNet constructor\n",
        "  c_in: 3, c_out: 1000\n",
-       "  expansion: 1, groups: 1, dw: False\n",
+       "  expansion: 1, groups: 1, dw: False, div_groups: None\n",
        "  sa: False, se: False\n",
-       "  stem sizes: [3, 32, 64, 64], stide on 0\n",
+       "  stem sizes: [3, 32, 64, 64], stride on 0\n",
        "  body sizes [64, 128, 256, 512]\n",
        "  layers: [2, 2, 2, 2]"
       ]
      },
-     "execution_count": null,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -75,7 +75,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -84,7 +84,7 @@
        "([64, 64, 128, 256, 512], [2, 2, 2, 2])"
       ]
      },
-     "execution_count": null,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -95,7 +95,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -121,7 +121,7 @@
        ")"
       ]
      },
-     "execution_count": null,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -133,29 +133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "torch.Size([16, 64, 32, 32])\n"
-     ]
-    }
-   ],
-   "source": [
-    "#hide\n",
-    "bs_test = 16\n",
-    "xb = torch.randn(bs_test, 3, 128, 128)\n",
-    "y = mxresnet.stem(xb)\n",
-    "print(y.shape)\n",
-    "assert y.shape == torch.Size([bs_test, 64, 32, 32]), f\"size\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -300,7 +278,7 @@
        ")"
       ]
      },
-     "execution_count": null,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -312,7 +290,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -457,7 +435,7 @@
        ")"
       ]
      },
-     "execution_count": null,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -469,7 +447,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -482,7 +460,7 @@
        ")"
       ]
      },
-     "execution_count": null,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -494,7 +472,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -523,7 +501,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -534,7 +512,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -543,22 +521,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "MXResnet50 constructor\n",
        "  c_in: 3, c_out: 10\n",
-       "  expansion: 4, groups: 1, dw: False\n",
+       "  expansion: 4, groups: 1, dw: False, div_groups: None\n",
        "  sa: False, se: False\n",
-       "  stem sizes: [3, 32, 64, 64], stide on 0\n",
+       "  stem sizes: [3, 32, 64, 64], stride on 0\n",
        "  body sizes [64, 128, 256, 512]\n",
        "  layers: [3, 4, 6, 3]"
       ]
      },
-     "execution_count": null,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -569,7 +547,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -578,7 +556,7 @@
        "(10, [3, 4, 6, 3])"
       ]
      },
-     "execution_count": null,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -598,10 +576,25 @@
   }
  ],
  "metadata": {
+  "interpreter": {
+   "hash": "00caef409dd3eda0637dae1b4e57ec87cdad0fb75342334dd1d5d7d54b26108f"
+  },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3.10.4 ('p310_pt111')",
    "language": "python",
    "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.4"
   }
  },
  "nbformat": 4,