docs: execute all tutorials and fix warnings.

sbi-dev · Aug 23, 2024 · 5584f13 · 5584f13
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Showing 17 changed files with 26,906 additions and 26,599 deletions.
diff --git a/tutorials/00_getting_started_flexible.ipynb b/tutorials/00_getting_started_flexible.ipynb
diff --git a/tutorials/01_gaussian_amortized.ipynb b/tutorials/01_gaussian_amortized.ipynb
diff --git a/tutorials/02_multiround_inference.ipynb b/tutorials/02_multiround_inference.ipynb
diff --git a/tutorials/03_density_estimators.ipynb b/tutorials/03_density_estimators.ipynb
@@ -32,7 +32,15 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING (pytensor.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n"
+     ]
+    }
+   ],
    "source": [
     "import torch\n",
     "\n",
@@ -154,7 +162,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.0"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,

diff --git a/tutorials/04_embedding_networks.ipynb b/tutorials/04_embedding_networks.ipynb
diff --git a/tutorials/05_conditional_distributions.ipynb b/tutorials/05_conditional_distributions.ipynb
diff --git a/tutorials/06_restriction_estimator.ipynb b/tutorials/06_restriction_estimator.ipynb
diff --git a/tutorials/07_sensitivity_analysis.ipynb b/tutorials/07_sensitivity_analysis.ipynb
diff --git a/tutorials/08_crafting_summary_statistics.ipynb b/tutorials/08_crafting_summary_statistics.ipynb
diff --git a/tutorials/09_sampler_interface.ipynb b/tutorials/09_sampler_interface.ipynb
@@ -22,11 +22,19 @@
    "execution_count": 1,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING (pytensor.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      " Neural network successfully converged after 57 epochs."
+      "\r",
+      " Neural network successfully converged after 104 epochs."
      ]
     }
    ],
@@ -55,33 +63,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3b9cbb3526ec457fadfd25ac301f0e5c",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/2000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "Converged with loss: 5.17\n",
-      "Quality Score: -0.116 \t Good: Smaller than 0.5  Bad: Larger than 1.0 \t         NOTE: Less sensitive to mode collapse.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Sampling with MCMC\n",
     "sampling_algorithm = \"mcmc\"\n",
@@ -158,7 +142,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "70b0cfdec1ba4afbbe5b42f7e4ff6d3a",
+       "model_id": "",
        "version_major": 2,
        "version_minor": 0
       },
@@ -174,8 +158,8 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "Converged with loss: 5.18\n",
-      "Quality Score: 0.104 \t Good: Smaller than 0.5  Bad: Larger than 1.0 \t         NOTE: Less sensitive to mode collapse.\n"
+      "Converged with loss: 3.11\n",
+      "Quality Score: -0.029 \t Good: Smaller than 0.5  Bad: Larger than 1.0 \t         NOTE: Less sensitive to mode collapse.\n"
      ]
     }
    ],
@@ -217,7 +201,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      " Neural network successfully converged after 59 epochs."
+      " Neural network successfully converged after 72 epochs."
      ]
     }
    ],
@@ -326,7 +310,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      " Neural network successfully converged after 76 epochs."
+      " Neural network successfully converged after 98 epochs."
      ]
     }
    ],
@@ -342,7 +326,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -356,7 +340,20 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.0"
+   "version": "3.12.4"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
   }
  },
  "nbformat": 4,

diff --git a/tutorials/10_diagnostics_posterior_predictive_checks.ipynb b/tutorials/10_diagnostics_posterior_predictive_checks.ipynb
diff --git a/tutorials/11_diagnostics_simulation_based_calibration.ipynb b/tutorials/11_diagnostics_simulation_based_calibration.ipynb
diff --git a/tutorials/12_iid_data_and_permutation_invariant_embeddings.ipynb b/tutorials/12_iid_data_and_permutation_invariant_embeddings.ipynb
diff --git a/tutorials/13_diagnostics_lc2st.ipynb b/tutorials/13_diagnostics_lc2st.ipynb
diff --git a/tutorials/14_mcmc_diagnostics_with_arviz.ipynb b/tutorials/14_mcmc_diagnostics_with_arviz.ipynb