Fix transformations

Signed-off-by: Vihang Mehta <[email protected]>
gimletlabs · Nov 20, 2024 · 5a7178d · 5a7178d
1 parent 643f23d
commit 5a7178d
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Showing 2 changed files with 4 additions and 4 deletions.
diff --git 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
@@ -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);
             });
         }