Implement evaluation mode for model evaluations (#705)

* Code Update 05_torch_connector.ipynb * Typo 05_torch_connector.ipynb * Update docs/tutorials/05_torch_connector.ipynb Co-authored-by: Anton Dekusar <[email protected]> --------- Co-authored-by: Anton Dekusar <[email protected]>
qiskit-community · Oct 31, 2023 · 85687d6 · 85687d6
1 parent 5ac616c
commit 85687d6
Showing 1 changed file with 3 additions and 0 deletions.
diff --git a/docs/tutorials/05_torch_connector.ipynb b/docs/tutorials/05_torch_connector.ipynb
@@ -321,6 +321,7 @@
    ],
    "source": [
     "# Evaluate model and compute accuracy\n",
+    "model1.eval()\n",
     "y_predict = []\n",
     "for x, y_target in zip(X, y):\n",
     "    output = model1(Tensor(x))\n",
@@ -499,6 +500,7 @@
    ],
    "source": [
     "# Evaluate model and compute accuracy\n",
+    "model2.eval()\n",
     "y_predict = []\n",
     "for x in X:\n",
     "    output = model2(Tensor(x))\n",
@@ -704,6 +706,7 @@
     "plt.plot(X, y, \"bo\")\n",
     "\n",
     "# Plot fitted line\n",
+    "model3.eval()\n",
     "y_ = []\n",
     "for x in np.linspace(lb, ub):\n",
     "    output = model3(Tensor([x]))\n",