From 864b630acad682dcd8c06df613fd065fabcac1ee Mon Sep 17 00:00:00 2001
From: Matt Graham <matthew.m.graham@gmail.com>
Date: Thu, 24 Apr 2025 08:32:21 +0100
Subject: [PATCH] Update Torch notebook cell outputs

---
 notebooks/torch_frontend.ipynb | 20 ++++----------------
 1 file changed, 4 insertions(+), 16 deletions(-)

diff --git a/notebooks/torch_frontend.ipynb b/notebooks/torch_frontend.ipynb
index 0aebe2c8..1b28595d 100644
--- a/notebooks/torch_frontend.ipynb
+++ b/notebooks/torch_frontend.ipynb
@@ -157,21 +157,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'orward_kernel' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[8], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m precompute_f \u001b[38;5;241m=\u001b[39m precompute_inverse(flm, L, kernel\u001b[38;5;241m=\u001b[39minverse_kernel, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtorch\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m precompute_flm_check \u001b[38;5;241m=\u001b[39m precompute_forward(f, L, kernel\u001b[38;5;241m=\u001b[39m\u001b[43morward_kernel\u001b[49m, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtorch\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'orward_kernel' is not defined"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "precompute_f = precompute_inverse(flm, L, kernel=inverse_kernel, method=\"torch\")\n",
     "precompute_flm_check = precompute_forward(f, L, kernel=forward_kernel, method=\"torch\")"
@@ -186,14 +174,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Mean absolute error = 2.8472981477378884e-14\n"
+      "Mean absolute error = 2.904741595325594e-14\n"
      ]
     }
    ],