From 300953f2bfd86b9a85a115ae951be9eb9f557ae7 Mon Sep 17 00:00:00 2001
From: Vihang Mehta <vihang@gimletlabs.ai>
Date: Mon, 18 Nov 2024 16:45:40 -0800
Subject: [PATCH] Fix CPP passes

Signed-off-by: Vihang Mehta <vihang@gimletlabs.ai>
---
 .../src/transformations/transformation_pipeline.cpp         | 2 +-
 .../intel_gpu/src/plugin/transformations_pipeline.cpp       | 6 +++---
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/plugins/intel_cpu/src/transformations/transformation_pipeline.cpp b/src/plugins/intel_cpu/src/transformations/transformation_pipeline.cpp
index 9bac8179105f7a..313b7141dd4fce 100644
--- a/src/plugins/intel_cpu/src/transformations/transformation_pipeline.cpp
+++ b/src/plugins/intel_cpu/src/transformations/transformation_pipeline.cpp
@@ -665,7 +665,7 @@ void Transformations::PreLpt(const std::vector<ov::element::Type>& defaultPrecis
 
         CPU_SET_CALLBACK_COMMON(manager,
             [&defaultPrecisions](const_node_ptr &node) -> bool {
-                return ov::pass::low_precision::NetworkHelper::areQuantizeAndDequantizeSupportedForMultiply(node, defaultPrecisions);
+                return !ov::pass::low_precision::NetworkHelper::areQuantizeAndDequantizeSupportedForMultiply(node, defaultPrecisions);
             },
             ov::pass::ConvertQuantizeDequantize);
     }
diff --git a/src/plugins/intel_gpu/src/plugin/transformations_pipeline.cpp b/src/plugins/intel_gpu/src/plugin/transformations_pipeline.cpp
index 706689966cd058..8dbf3c8776bf7d 100644
--- a/src/plugins/intel_gpu/src/plugin/transformations_pipeline.cpp
+++ b/src/plugins/intel_gpu/src/plugin/transformations_pipeline.cpp
@@ -310,6 +310,8 @@ void TransformationsPipeline::apply(std::shared_ptr<ov::Model> func) {
         if (!is_model_quantized)
             pass_config->set_callback<ov::pass::MarkDequantizationSubgraph>(is_non_supported_decompression_op);
 
+        manager.register_pass<ov::pass::CommonOptimizations>();
+
         const bool keep_precision_sensitive_in_fp32_1 = true;
         const bool convert_input_output_precision = false;
         const bool store_original_precision_as_rt_attribute = true;
@@ -319,8 +321,6 @@ void TransformationsPipeline::apply(std::shared_ptr<ov::Model> func) {
                                                           convert_input_output_precision,
                                                           store_original_precision_as_rt_attribute);
 
-        manager.register_pass<ov::pass::CommonOptimizations>();
-
         pass_config->set_callback<ov::pass::ScaledDotProductAttentionDecomposition>([&](const std::shared_ptr<const ov::Node> node){
             GPU_DEBUG_IF(cldnn::debug_configuration::get_instance()->enable_sdpa != -1) {
                 GPU_DEBUG_CODE(return cldnn::debug_configuration::get_instance()->enable_sdpa == 1);
@@ -638,7 +638,7 @@ void TransformationsPipeline::apply(std::shared_ptr<ov::Model> func) {
 
         if (enableInt8) {
             pass_config->set_callback<ov::pass::ConvertQuantizeDequantize>([&](const_node_ptr &node) -> bool {
-                return ov::pass::low_precision::NetworkHelper::areQuantizeAndDequantizeSupportedForMultiply(node, defaultPrecisions);
+                return !ov::pass::low_precision::NetworkHelper::areQuantizeAndDequantizeSupportedForMultiply(node, defaultPrecisions);
             });
         }