From ca9a86cc9b5b9851b4efbcc73e7252ee23e9ae23 Mon Sep 17 00:00:00 2001
From: Marcus Campbell <21266489+marcus-campbell@users.noreply.github.com>
Date: Sat, 15 Aug 2026 10:01:45 -0700
Subject: [PATCH] fix: use stable seeds in PyTorch notebooks

Replace process-randomized hash-derived seeds with fixed integer seeds
so the PyTorch and Lightning examples initialize their RNGs consistently
across Python processes.
---
 ...g_with_Pytorch_Lightning_and_Weights_and_Biases.ipynb | 3 ++-
 colabs/pytorch/Simple_PyTorch_Integration.ipynb          | 9 +++++----
 examples/pytorch/pytorch-intro/intro.ipynb               | 9 +++++----
 3 files changed, 12 insertions(+), 9 deletions(-)

diff --git a/colabs/pytorch-lightning/Supercharge_your_Training_with_Pytorch_Lightning_and_Weights_and_Biases.ipynb b/colabs/pytorch-lightning/Supercharge_your_Training_with_Pytorch_Lightning_and_Weights_and_Biases.ipynb
index b2e76665..a4b69730 100644
--- a/colabs/pytorch-lightning/Supercharge_your_Training_with_Pytorch_Lightning_and_Weights_and_Biases.ipynb
+++ b/colabs/pytorch-lightning/Supercharge_your_Training_with_Pytorch_Lightning_and_Weights_and_Biases.ipynb
@@ -144,7 +144,8 @@
     "# ⚡ PyTorch Lightning\n",
     "import lightning.pytorch as pl\n",
     "import torchmetrics\n",
-    "pl.seed_everything(hash(\"setting random seeds\") % 2**32 - 1)\n",
+    "seed = 42\n",
+    "pl.seed_everything(seed)\n",
     "\n",
     "# 🏋️‍♀️ Weights & Biases\n",
     "import wandb\n",
diff --git a/colabs/pytorch/Simple_PyTorch_Integration.ipynb b/colabs/pytorch/Simple_PyTorch_Integration.ipynb
index bf1a6054..39a2edbc 100644
--- a/colabs/pytorch/Simple_PyTorch_Integration.ipynb
+++ b/colabs/pytorch/Simple_PyTorch_Integration.ipynb
@@ -145,11 +145,12 @@
     "from tqdm.auto import tqdm\n",
     "\n",
     "# Ensure deterministic behavior\n",
+    "seed = 42\n",
     "torch.backends.cudnn.deterministic = True\n",
-    "random.seed(hash(\"setting random seeds\") % 2**32 - 1)\n",
-    "np.random.seed(hash(\"improves reproducibility\") % 2**32 - 1)\n",
-    "torch.manual_seed(hash(\"by removing stochasticity\") % 2**32 - 1)\n",
-    "torch.cuda.manual_seed_all(hash(\"so runs are repeatable\") % 2**32 - 1)\n",
+    "random.seed(seed)\n",
+    "np.random.seed(seed)\n",
+    "torch.manual_seed(seed)\n",
+    "torch.cuda.manual_seed_all(seed)\n",
     "\n",
     "# Device configuration\n",
     "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
diff --git a/examples/pytorch/pytorch-intro/intro.ipynb b/examples/pytorch/pytorch-intro/intro.ipynb
index c2a9d5d0..1ee57d34 100755
--- a/examples/pytorch/pytorch-intro/intro.ipynb
+++ b/examples/pytorch/pytorch-intro/intro.ipynb
@@ -53,11 +53,12 @@
     "from tqdm.auto import tqdm\n",
     "\n",
     "# Ensure deterministic behavior\n",
+    "seed = 42\n",
     "torch.backends.cudnn.deterministic = True\n",
-    "random.seed(hash(\"setting random seeds\") % 2**32 - 1)\n",
-    "np.random.seed(hash(\"improves reproducibility\") % 2**32 - 1)\n",
-    "torch.manual_seed(hash(\"by removing stochasticity\") % 2**32 - 1)\n",
-    "torch.cuda.manual_seed_all(hash(\"so runs are repeatable\") % 2**32 - 1)\n",
+    "random.seed(seed)\n",
+    "np.random.seed(seed)\n",
+    "torch.manual_seed(seed)\n",
+    "torch.cuda.manual_seed_all(seed)\n",
     "\n",
     "# Device configuration\n",
     "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")"