From 0c0b36a33838161b769bd6aa71bbee0419215b32 Mon Sep 17 00:00:00 2001
From: Anastasiya Pronina <anastasiya.pronina@intel.com>
Date: Tue, 31 Dec 2024 12:37:13 +0000
Subject: [PATCH] Fixed clang-format

---
 .../intel_npu/src/plugin/npuw/llm_compiled_model.cpp     | 8 --------
 .../intel_npu/src/plugin/npuw/llm_infer_request.cpp      | 9 ++++-----
 2 files changed, 4 insertions(+), 13 deletions(-)

diff --git a/src/plugins/intel_npu/src/plugin/npuw/llm_compiled_model.cpp b/src/plugins/intel_npu/src/plugin/npuw/llm_compiled_model.cpp
index 484b5373d7cb47..496fd8bd8fd8d7 100644
--- a/src/plugins/intel_npu/src/plugin/npuw/llm_compiled_model.cpp
+++ b/src/plugins/intel_npu/src/plugin/npuw/llm_compiled_model.cpp
@@ -330,14 +330,6 @@ std::optional<ov::Any> pop_option(ov::AnyMap& config, const std::string& option_
     return std::nullopt;
 }
 
-template <typename T>
-std::optional<T> get_option(ov::AnyMap& config, const std::string& option_name) {
-    if (auto it = config.find(option_name); it != config.end()) {
-        return std::make_optional(it->second.as<T>());
-    }
-    return std::nullopt;
-}
-
 ov::AnyMap get_baseline_common_config() {
     ov::AnyMap config = {
         {"NPU_COMPILATION_MODE_PARAMS", "compute-layers-with-higher-precision=Sqrt,Power,ReduceMean,Add_RMSNorm"},
diff --git a/src/plugins/intel_npu/src/plugin/npuw/llm_infer_request.cpp b/src/plugins/intel_npu/src/plugin/npuw/llm_infer_request.cpp
index dda0c6a2945d74..0bad68a35aa4ba 100644
--- a/src/plugins/intel_npu/src/plugin/npuw/llm_infer_request.cpp
+++ b/src/plugins/intel_npu/src/plugin/npuw/llm_infer_request.cpp
@@ -148,11 +148,10 @@ void ov::npuw::LLMInferRequest::infer_generate(ov::SoPtr<ov::ITensor> input_ids,
                                      ? 3u
                                      : kvcache_desc.dim;
 
-            auto prefill_out_slice =
-                make_tensor_slice(prefill_out_tensor,
-                                  kv_dim,
-                                  kvcache_desc.max_prompt_size - kvcache_desc.num_stored_tokens,
-                                  kvcache_desc.max_prompt_size);
+            auto prefill_out_slice = make_tensor_slice(prefill_out_tensor,
+                                                       kv_dim,
+                                                       kvcache_desc.max_prompt_size - kvcache_desc.num_stored_tokens,
+                                                       kvcache_desc.max_prompt_size);
 
             auto kvcache_in_slice = make_tensor_slice(kvcache_in_tensor, kv_dim, 0u, kvcache_desc.num_stored_tokens);