From 3c712cf77dc96c59b6df9d8415c43ab13e70213c Mon Sep 17 00:00:00 2001
From: Laurent Berger <laurent.berger@univ-lemans.fr>
Date: Tue, 27 Feb 2024 12:15:11 +0100
Subject: [PATCH] Merge pull request #25100 from LaurentBerger:I25077

Fix issue #25077 #25100

Fixes https://github.com/opencv/opencv/issues/25077

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
---
 modules/dnn/src/layers/einsum_layer.cpp | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/modules/dnn/src/layers/einsum_layer.cpp b/modules/dnn/src/layers/einsum_layer.cpp
index 6faaae7ae2..7f8eb47112 100644
--- a/modules/dnn/src/layers/einsum_layer.cpp
+++ b/modules/dnn/src/layers/einsum_layer.cpp
@@ -547,7 +547,7 @@ public:
         MatShape realOutputDims = shape(result);
         size_t realProd = std::accumulate(realOutputDims.begin(), realOutputDims.end(), 1, std::multiplies<int>());
 
-        CV_CheckEQ(reqProd, realProd, "Real output can not be shaped in to requred output");
+        CV_CheckEQ(reqProd, realProd, "Real output can not be shaped in to required output");
 
         // reduce dimentions
         result = result.reshape(1, einsumOutDims.size(), einsumOutDims.data());
@@ -1280,11 +1280,12 @@ Mat LayerEinsumImpl::pairwiseOperandProcess(
                 // Covered by ExplicitEinsumAsTensorContractionReshapeFinal.
                 output = output.reshape(1, reshaped_dims.size(), reshaped_dims.data());
             }
-        } else {
-            output = Transpose(
-                output,
-                outputDims,
-                outputPermutation);
+            else {
+                output = Transpose(
+                    output,
+                    outputDims,
+                    outputPermutation);
+            }
         }
     } else {  // This is the final pair - Transpose directly to the output ordering required and copy the contents to the op's output
         // not sure if this finalize shape is needed at all