From 07d505a0e5144e253c7d55844bbd0c90c1a8718b Mon Sep 17 00:00:00 2001
From: LordMathis <matus@namesny.com>
Date: Sun, 26 May 2024 20:06:11 +0200
Subject: [PATCH] Format inception

---
 examples/inception_v3/inception_v3.cpp | 37 ++++++++++++--------------
 1 file changed, 17 insertions(+), 20 deletions(-)

diff --git a/examples/inception_v3/inception_v3.cpp b/examples/inception_v3/inception_v3.cpp
index ba945b6..8028709 100644
--- a/examples/inception_v3/inception_v3.cpp
+++ b/examples/inception_v3/inception_v3.cpp
@@ -276,16 +276,16 @@ class InceptionC : public CUDANet::Module {
             "branch7x7dbl_1"
         );
         branch7x7dbl_2 = new BasicConv2d(
-            branch7x7dbl_1->getOutputDims(), nChannels_7x7, nChannels_7x7, {7, 1},
-            {1, 1}, {3, 0}, "branch7x7dbl_2"
+            branch7x7dbl_1->getOutputDims(), nChannels_7x7, nChannels_7x7,
+            {7, 1}, {1, 1}, {3, 0}, "branch7x7dbl_2"
         );
         branch7x7dbl_3 = new BasicConv2d(
-            branch7x7dbl_2->getOutputDims(), nChannels_7x7, nChannels_7x7, {1, 7},
-            {1, 1}, {0, 3}, "branch7x7dbl_3"
+            branch7x7dbl_2->getOutputDims(), nChannels_7x7, nChannels_7x7,
+            {1, 7}, {1, 1}, {0, 3}, "branch7x7dbl_3"
         );
         branch7x7dbl_4 = new BasicConv2d(
-            branch7x7dbl_3->getOutputDims(), nChannels_7x7, nChannels_7x7, {7, 1},
-            {1, 1}, {3, 0}, "branch7x7dbl_4"
+            branch7x7dbl_3->getOutputDims(), nChannels_7x7, nChannels_7x7,
+            {7, 1}, {1, 1}, {3, 0}, "branch7x7dbl_4"
         );
         branch7x7dbl_5 = new BasicConv2d(
             branch7x7dbl_4->getOutputDims(), nChannels_7x7, 192, {1, 7}, {1, 1},
@@ -294,7 +294,8 @@ class InceptionC : public CUDANet::Module {
 
         // Branch Pool
         branchPool_1 = new CUDANet::Layers::AvgPooling2d(
-            inputSize, inputChannels, {3, 3}, {1, 1}, {1, 1}, CUDANet::Layers::ActivationType::NONE
+            inputSize, inputChannels, {3, 3}, {1, 1}, {1, 1},
+            CUDANet::Layers::ActivationType::NONE
         );
         branchPool_2 = new BasicConv2d(
             branchPool_1->getOutputDims(), inputChannels, 192, {1, 1}, {1, 1},
@@ -303,26 +304,22 @@ class InceptionC : public CUDANet::Module {
 
         // Concat
         concat_1 = new CUDANet::Layers::Concat(
-            branch1x1->getOutputSize(),
-            branch7x7_3->getOutputSize()
+            branch1x1->getOutputSize(), branch7x7_3->getOutputSize()
         );
         concat_2 = new CUDANet::Layers::Concat(
-            concat_1->getOutputSize(),
-            branch7x7dbl_5->getOutputSize()
+            concat_1->getOutputSize(), branch7x7dbl_5->getOutputSize()
         );
         concat_3 = new CUDANet::Layers::Concat(
-            concat_2->getOutputSize(),
-            branchPool_2->getOutputSize()
+            concat_2->getOutputSize(), branchPool_2->getOutputSize()
         );
     }
 
     float *forward(const float *d_input) {
-
         float *branch1x1_output = branch1x1->forward(d_input);
 
         float *branch7x7_output = branch7x7_1->forward(d_input);
-        branch7x7_output = branch7x7_2->forward(branch7x7_output);
-        branch7x7_output = branch7x7_3->forward(branch7x7_output);
+        branch7x7_output        = branch7x7_2->forward(branch7x7_output);
+        branch7x7_output        = branch7x7_3->forward(branch7x7_output);
 
         float *branch7x7dbl_output = branch7x7dbl_1->forward(d_input);
         branch7x7dbl_output = branch7x7dbl_2->forward(branch7x7dbl_output);
@@ -331,11 +328,11 @@ class InceptionC : public CUDANet::Module {
         branch7x7dbl_output = branch7x7dbl_5->forward(branch7x7dbl_output);
 
         float *branchPool_output = branchPool_1->forward(d_input);
-        branchPool_output = branchPool_2->forward(branchPool_output);
+        branchPool_output        = branchPool_2->forward(branchPool_output);
 
         float *d_output = concat_1->forward(branch1x1_output, branch7x7_output);
-        d_output = concat_2->forward(d_output, branch7x7dbl_output);
-        d_output = concat_3->forward(d_output, branchPool_output);
+        d_output        = concat_2->forward(d_output, branch7x7dbl_output);
+        d_output        = concat_3->forward(d_output, branchPool_output);
 
         return d_output;
     }
@@ -357,7 +354,7 @@ class InceptionC : public CUDANet::Module {
     BasicConv2d *branch7x7dbl_5;
 
     CUDANet::Layers::AvgPooling2d *branchPool_1;
-    BasicConv2d *branchPool_2;
+    BasicConv2d                   *branchPool_2;
 
     CUDANet::Layers::Concat *concat_1;
     CUDANet::Layers::Concat *concat_2;