diff --git a/tests/spd_forward_solve_notebook.ipynb b/tests/spd_forward_solve_notebook.ipynb
index b6eb702..6b4a747 100644
--- a/tests/spd_forward_solve_notebook.ipynb
+++ b/tests/spd_forward_solve_notebook.ipynb
@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyPlHXxhQkC8kGTNfxN/oKe/",
+      "authorship_tag": "ABX9TyN0JFpiKDeXK9tTd/a7xn9o",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -47,7 +47,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "3hHTa-xCjIQv",
-        "outputId": "482cc3c9-43e2-451b-af42-a745f88b528e"
+        "outputId": "cf255d05-b0ab-4a79-9765-1ed23fbff784"
       },
       "outputs": [
         {
@@ -59,8 +59,8 @@
             "Running on cuda\n",
             "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
             "Collecting git+https://github.com/cai4cai/torchsparsegradutils\n",
-            "  Cloning https://github.com/cai4cai/torchsparsegradutils to /tmp/pip-req-build-6zkqcw6n\n",
-            "  Running command git clone -q https://github.com/cai4cai/torchsparsegradutils /tmp/pip-req-build-6zkqcw6n\n",
+            "  Cloning https://github.com/cai4cai/torchsparsegradutils to /tmp/pip-req-build-plwawj9f\n",
+            "  Running command git clone -q https://github.com/cai4cai/torchsparsegradutils /tmp/pip-req-build-plwawj9f\n",
             "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
             "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
             "    Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n",
@@ -144,7 +144,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "0CzeubR_kUVA",
-        "outputId": "199b16e4-526f-4b44-c99e-be1c933e4458"
+        "outputId": "dc3ff1db-1425-4a82-cf54-0ad60f81963c"
       },
       "execution_count": 2,
       "outputs": [
@@ -152,8 +152,6 @@
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Downloading https://suitesparse-collection-website.herokuapp.com/MM/Rothberg/cfd2.tar.gz\n",
-            "untarring cfd2.tar.gz\n",
             "Loaded suitesparse matrix Rothberg/cfd2: type=<class 'scipy.sparse.coo.coo_matrix'>, shape=(123440, 123440)\n",
             "Created random RHS with shape=(123440,)\n"
           ]
@@ -198,7 +196,7 @@
     {
       "cell_type": "code",
       "source": [
-        "run_scipy = False\n",
+        "run_scipy = True\n",
         "if run_scipy:\n",
         "  t, n = scipy_test(A_np_coo, b_np, scipy.sparse.linalg.spsolve, 'scipy.spsolve COO')\n",
         "  t, n = scipy_test(A_np_csr, b_np, scipy.sparse.linalg.spsolve, 'scipy.spsolve CSR')\n",
@@ -216,15 +214,30 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "4KaNyZpDogS4",
-        "outputId": "ab5a18a5-4f73-4b27-d4a5-b71350c68842"
+        "outputId": "34e0dc0b-392b-4485-ac55-1233dde26aaf"
       },
       "execution_count": 4,
       "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.8/dist-packages/scipy/sparse/linalg/dsolve/linsolve.py:144: SparseEfficiencyWarning: spsolve requires A be CSC or CSR matrix format\n",
+            "  warn('spsolve requires A be CSC or CSR matrix format',\n"
+          ]
+        },
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Skipping scipy tests\n"
+            "scipy.spsolve COO took 108.62 seconds - resnorm=2.15e-10\n",
+            "scipy.spsolve CSR took 98.29 seconds - resnorm=2.49e-10\n",
+            "scipy.cg COO took 72.09 seconds - resnorm=3.50e-03\n",
+            "scipy.cg CSR took 55.59 seconds - resnorm=3.50e-03\n",
+            "scipy.bicgstab COO took 112.65 seconds - resnorm=2.31e-03\n",
+            "scipy.bicgstab CSR took 88.79 seconds - resnorm=2.31e-03\n",
+            "scipy.minres COO took 0.54 seconds - resnorm=3.05e+01\n",
+            "scipy.minres CSR took 0.38 seconds - resnorm=3.05e+01\n"
           ]
         }
       ]
@@ -250,10 +263,10 @@
       ],
       "metadata": {
         "id": "DHqwjtVOrRyH",
-        "outputId": "20aa9e46-1e9d-4b55-b70c-88ff6eb1ccc5",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "outputId": "307faf94-ee4a-4943-d483-ad084246ee0d"
       },
       "execution_count": 5,
       "outputs": [
@@ -346,10 +359,10 @@
       ],
       "metadata": {
         "id": "3HH-nGDSsIXy",
-        "outputId": "793408b1-955b-4f8b-b184-bf8f24ea188b",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "outputId": "7a8dacff-efaa-416a-f6d5-9a87a2b84157"
       },
       "execution_count": 7,
       "outputs": [
@@ -358,15 +371,15 @@
           "name": "stdout",
           "text": [
             "GPU memory allocated: 0.04Gb - max allocated: 0.04Gb\n",
-            "tsgu.sparse_generic_solve GPU CSR took 0.65 seconds - resnorm=1.33e+00\n",
+            "tsgu.sparse_generic_solve GPU CSR took 0.62 seconds - resnorm=1.93e+00\n",
             "GPU memory allocated: 0.04Gb - max allocated: 0.05Gb\n",
-            "tsgu.sparse_generic_solve minres GPU CSR took 0.48 seconds - resnorm=1.33e+00\n",
+            "tsgu.sparse_generic_solve minres GPU CSR took 0.46 seconds - resnorm=1.93e+00\n",
             "GPU memory allocated: 0.04Gb - max allocated: 0.05Gb\n",
-            "tsgu.sparse_generic_solve cg GPU CSR took 0.06 seconds - resnorm=2.39e+02\n",
+            "tsgu.sparse_generic_solve cg GPU CSR took 0.06 seconds - resnorm=2.43e+02\n",
             "GPU memory allocated: 0.04Gb - max allocated: 0.05Gb\n",
-            "tsgu.sparse_generic_solve bicgstab GPU CSR took 10.42 seconds - resnorm=2.15e-04\n",
+            "tsgu.sparse_generic_solve bicgstab GPU CSR took 9.35 seconds - resnorm=2.60e-04\n",
             "GPU memory allocated: 0.04Gb - max allocated: 0.05Gb\n",
-            "tsgu.sparse_solve_j4t cg GPU CSR took 8.32 seconds - resnorm=3.51e-03\n",
+            "tsgu.sparse_solve_j4t cg GPU CSR took 6.39 seconds - resnorm=2.74e-03\n",
             "GPU memory allocated: 0.04Gb - max allocated: 0.05Gb\n"
           ]
         }