[AttentionTraining] Fix Linting

Author: runwangdl

Deeploy/Targets/Generic/Layers.py

@@ -480,7 +480,6 @@ def __init__(self, maps: List[NodeMapper]):
         super().__init__(maps)
 
 
-
 class LinearAttentionLayer(ONNXLayer):
 
     def __init__(self, maps: List[NodeMapper]):

Deeploy/Targets/PULPOpen/Bindings.py

@@ -189,9 +189,8 @@
     NodeBinding(AddChecker([PointerClass(float32_t), PointerClass(float32_t)], [PointerClass(float32_t)]),
                 FloatAddTemplate.referenceTemplate, ForkTransformer)
 ] + [
-    NodeBinding(
-        AddChecker([PointerClass(float32_t), PointerClass(float32_t)], [PointerClass(float32_t)]), FloatAddTemplate.referenceTemplate,
-        ForkTransformer)
+    NodeBinding(AddChecker([PointerClass(float32_t), PointerClass(float32_t)], [PointerClass(float32_t)]),
+                FloatAddTemplate.referenceTemplate, ForkTransformer)
 ]
 
 PULPRQSConv2DBindings = [

formatting_report.log

@@ -0,0 +1,6 @@
+autoflake cleanup completed!
+Running clang-format to fix C/C++ code formatting...
+Using LLVM clang-format: /app/install/llvm/bin/clang-format
+Running clang-format with python script...
+Command: python scripts/run_clang_format.py -e "*/third_party/*" -e "*/install/*" -e "*/toolchain/*" -r --clang-format-executable="/app/install/llvm/bin/clang-format" ./ scripts
+clang-format formatting completed!