From 059e88c886073b1c94e85bf2d7b3116d01746eab Mon Sep 17 00:00:00 2001 From: Bas Krahmer Date: Wed, 17 Jul 2024 09:03:38 +0200 Subject: [PATCH] Typo Typo --- advanced_source/super_resolution_with_onnxruntime.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/advanced_source/super_resolution_with_onnxruntime.py b/advanced_source/super_resolution_with_onnxruntime.py index ecb0ba4fe42..264678ee17a 100644 --- a/advanced_source/super_resolution_with_onnxruntime.py +++ b/advanced_source/super_resolution_with_onnxruntime.py @@ -9,7 +9,7 @@ * ``torch.onnx.export`` is based on TorchScript backend and has been available since PyTorch 1.2.0. In this tutorial, we describe how to convert a model defined -in PyTorch into the ONNX format using the TorchScript ``torch.onnx.export` ONNX exporter. +in PyTorch into the ONNX format using the TorchScript ``torch.onnx.export`` ONNX exporter. The exported model will be executed with ONNX Runtime. ONNX Runtime is a performance-focused engine for ONNX models,