Make introduction example run on devices (#18097)

2023-07-17 17:19:16 +02:00 · 2023-07-17 17:19:16 +02:00 · b8d4a70db7
parent ea92c218cc
commit b8d4a70db7
1 changed files with 1 additions and 1 deletions
--- a/docs/source-pytorch/starter/introduction.rst
+++ b/docs/source-pytorch/starter/introduction.rst
@ -204,7 +204,7 @@ Once you've trained the model you can export to onnx, torchscript and put it int
    encoder.eval()

    # embed 4 fake images!
-    fake_image_batch = Tensor(4, 28 * 28)
+    fake_image_batch = torch.rand(4, 28 * 28, device=autoencoder.device)
    embeddings = encoder(fake_image_batch)
    print("⚡" * 20, "\nPredictions (4 image embeddings):\n", embeddings, "\n", "⚡" * 20)