doc

Author: xadupre

CHANGELOGS.rst

@@ -4,6 +4,7 @@ Change Logs
 0.8.3
 +++++
 
+* :pr:`322`: support rerunning onnx kernels with torch intermediate results in side-by-side
 * :pr:`314`: fix modelbuilder download needed after this change https://github.com/microsoft/onnxruntime-genai/pull/1862
 * :pr:`311`: use custom and local function to use PackedMultiHeadAttention from onnxruntime
 * :pr:`310`: splits patches into multiple files 

onnx_diagnostic/torch_onnx/sbs.py

@@ -595,7 +595,8 @@ def run_aligned(
         <onnx_diagnostic.torch_onnx.sbs.ReplayConfiguration>`
     :param run_onnx_with_torch_inputs: run an onnx operator with torch results
         if they available
-    :return: a list of :class:`RunAlignedRecord`
+    :return: a list of :class:`RunAlignedRecord
+        <onnx_diagnostic.torch_onnx.sbs_dataclasses.RunAlignedRecord>`
 
     Example:
 
@@ -638,7 +639,6 @@ def forward(self, x):
         df = df.apply(lambda col: col.fillna("") if col.dtype == "object" else col)
         print(df)
 
-
     This example uses :class:`onnx.reference.ReferenceEvaluator` to run the onnx model
     but onnxruntime can also be used through
     :class:`onnx_diagnostic.helpers.ort_session.InferenceSessionForTorch`.