remove debug

src/plugins/intel_gna/src/debug_new_pass.hpp

@@ -10,7 +10,7 @@
 #define DEBUG_USE_NEW_PASS 1
 
 #undef DEBUG_VISUALIZE
-#define DEBUG_VISUALIZE 1
+//#define DEBUG_VISUALIZE 1
 #undef DEBUG_VISUALIZETREE
 //#define DEBUG_VISUALIZETREE 1
 

src/plugins/intel_gna/src/gna_transformations_pipeline.cpp

@@ -83,17 +83,11 @@ void TransformationsPipeline::apply(const std::shared_ptr<ov::Model>& model,
     const bool has_mvn = ov::op::util::has_op_with_type<ov::opset8::MVN>(model) ||
                          ov::op::util::has_op_with_type<ov::op::v0::MVN>(model);
 
-    if (has_convolution || has_maxpool || has_mvn) {
-        if (ov::op::util::has_op_with_type<ov::opset8::MatMul>(model))
-            std::cout << "[EMUTEX DEBUG] MatMul node" << std::endl;
-    }
-
     ov::pass::Manager manager;
     manager.register_pass<ov::pass::InitNodeInfo>();
     // In OV API 2.0(IRv10) default convertion to fp32 (inputs, outputs and weights) is disabled
     // and we need to run the ConvertPrecision transformation to support old networks.
     manager.register_pass<ov::pass::ConvertPrecision>(precisions_map{{ngraph::element::f16, ngraph::element::f32}});
-    EMUTEX_DEBUG_VISUALIZE("start");
     manager.register_pass<ov::pass::ConvertMVN1ToMVN6>();
     manager.register_pass<ov::intel_gna::pass::DecomposeMVN>();
     manager.register_pass<ov::pass::CommonOptimizations>();
@@ -139,14 +133,12 @@ void TransformationsPipeline::apply(const std::shared_ptr<ov::Model>& model,
     // TODO enable this transformation for networks without convolutions
     if (has_convolution || has_maxpool || has_mvn || has_matmul) {
         manager.register_pass<ov::intel_gna::pass::TransposeNCHW>();
-        EMUTEX_DEBUG_VISUALIZE("after_TransposeNCHW");
         manager.register_pass<ov::intel_gna::pass::ReshapeTransposeSubstitute>();
         manager.register_pass<ov::pass::TransposeSinkingGeneral>();
         manager.register_pass<ov::intel_gna::pass::GatherSinkingGeneral>();
         manager.register_pass<ov::pass::ReshapeSequenceFusion>();
         manager.register_pass<ov::pass::TransposeToReshape>();
         manager.register_pass<ov::intel_gna::pass::GnaConvolutionFusion>();
-        EMUTEX_DEBUG_VISUALIZE("after");
     }
     manager.register_pass<ov::intel_gna::pass::RemoveInputsProcessing>(subgraph_cpu_map);
     manager.register_pass<ov::intel_gna::pass::RemoveOutputsProcessing>(subgraph_cpu_map);
@@ -214,8 +206,6 @@ void TransformationsPipeline::apply(const std::shared_ptr<ov::Model>& model,
     // Operations Max and Min aren't supported
     pass_config->disable<ov::pass::ConcatReduceFusion>();
 
-    EMUTEX_DEBUG_VISUALIZE("finish");
-
     manager.run_passes(model);
 
     if (has_slice && (has_convolution || has_maxpool || has_mvn)) {
@@ -223,7 +213,6 @@ void TransformationsPipeline::apply(const std::shared_ptr<ov::Model>& model,
         manager.register_pass<ov::pass::InitNodeInfo>();
         manager.register_pass<ov::pass::SliceToStridedSlice>(true);
         manager.register_pass<ngraph::pass::ConvertStridedSliceToCropMatcher>();
-        EMUTEX_DEBUG_VISUALIZE("finish1");
         manager.run_passes(model);
     }