[CPU] Correct ConvertFqRnnToQuantizeRnn transformation (openvinotoolk…

…it#19850) by ensuring convert is placed after u8/i8 output
isanghao · Sep 19, 2023 · b43ffb2 · b43ffb2
1 parent a2aa029
commit b43ffb2
Showing 1 changed file with 3 additions and 4 deletions.
diff --git a/...s/intel_cpu/src/transformations/cpu_opset/common/pass/convert_fq_rnn_to_quantized_rnn.cpp b/...s/intel_cpu/src/transformations/cpu_opset/common/pass/convert_fq_rnn_to_quantized_rnn.cpp
@@ -203,15 +203,14 @@ ov::intel_cpu::ConvertFqRnnToQuantizedRnn::ConvertFqRnnToQuantizedRnn() {
             const auto& multiply = rnn->get_input_node_shared_ptr(1);
 
             auto new_convert  = convert->clone_with_new_inputs({rnn_quantized->output(1)});
-            std::shared_ptr<Node> multiply_in = new_convert;
+            std::shared_ptr<Node> multiply_input = new_convert;
             // dequantize with subtract
             if (subtract_it != pattern_map.end()) {
                 const auto subtract = std::dynamic_pointer_cast<ngraph::opset9::Subtract>(subtract_it->second.get_node_shared_ptr());
-                auto new_subtract = subtract->clone_with_new_inputs({rnn_quantized->output(1), subtract->input_value(1)});
-                multiply_in = new_subtract;
+                multiply_input = subtract->clone_with_new_inputs({multiply_input, subtract->input_value(1)});
             }
 
-            auto new_multiply = multiply->clone_with_new_inputs({multiply_in, multiply->input_value(1)});
+            auto new_multiply = multiply->clone_with_new_inputs({multiply_input, multiply->input_value(1)});
             new_multiply->set_friendly_name(rnn_quantized->get_friendly_name() + ".1");
 
             for (auto output : H_outputs) {