Merge branch 'main' into patch-1

Author: svekars

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,

intermediate_source/inductor_debug_cpu.py

@@ -87,9 +87,9 @@ def neg1(x):
 # +-----------------------------+----------------------------------------------------------------+
 # | ``fx_graph_transformed.py`` | Transformed FX graph, after pattern match                      |
 # +-----------------------------+----------------------------------------------------------------+
-# | ``ir_post_fusion.txt``      | Inductor IR before fusion                                      |
+# | ``ir_pre_fusion.txt``       | Inductor IR before fusion                                      |
 # +-----------------------------+----------------------------------------------------------------+
-# | ``ir_pre_fusion.txt``       | Inductor IR after fusion                                       |
+# | ``ir_post_fusion.txt``      | Inductor IR after fusion                                       |
 # +-----------------------------+----------------------------------------------------------------+
 # | ``output_code.py``          | Generated Python code for graph, with C++/Triton kernels       |
 # +-----------------------------+----------------------------------------------------------------+