From bd52b3edc3ac157532107c2493e62b38dd9261a7 Mon Sep 17 00:00:00 2001 From: Fangjun Kuang Date: Mon, 26 Aug 2024 12:02:08 +0800 Subject: [PATCH] Fix typos for export_simple_model_to_onnx_tutorial.py --- .../onnx/export_simple_model_to_onnx_tutorial.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/beginner_source/onnx/export_simple_model_to_onnx_tutorial.py b/beginner_source/onnx/export_simple_model_to_onnx_tutorial.py index 760c40ab43c..858494fcc79 100644 --- a/beginner_source/onnx/export_simple_model_to_onnx_tutorial.py +++ b/beginner_source/onnx/export_simple_model_to_onnx_tutorial.py @@ -26,8 +26,8 @@ # While PyTorch is great for iterating on the development of models, the model can be deployed to production # using different formats, including `ONNX `_ (Open Neural Network Exchange)! # -# ONNX is a flexible open standard format for representing machine learning models which standardized representations -# of machine learning allow them to be executed across a gamut of hardware platforms and runtime environments +# ONNX is a flexible open standard format for representing machine learning models with standardized representations +# of machine learning allowing them to be executed across a gamut of hardware platforms and runtime environments # from large-scale cloud-based supercomputers to resource-constrained edge devices, such as your web browser and phone. # # In this tutorial, we’ll learn how to: @@ -209,4 +209,4 @@ def to_numpy(tensor): # # .. toctree:: # :hidden: -# \ No newline at end of file +#