Generic fixes for CB integration via LLMPipeline (#961)

Extracted from
openvinotoolkit/openvino.genai#882

src/continuous_batching_impl.cpp

@@ -4,6 +4,7 @@
 #include "text_callback_streamer.hpp"
 #include "continuous_batching_impl.hpp"
 #include "paged_attention_transformations.hpp"
+#include "utils.hpp"
 
 namespace ov::genai {
 template<class... Ts> struct overloaded : Ts... {using Ts::operator()...;};
@@ -18,15 +19,18 @@ ContinuousBatchingPipeline::ContinuousBatchingImpl::ContinuousBatchingImpl(
     m_tokenizer = tokenizer;
     ov::Core core;
 
+    auto [core_plugin_config, compile_plugin_config] = ov::genai::utils::split_core_complile_config(plugin_config);
+    core.set_property(core_plugin_config);
+
     // The model can be compiled for GPU as well
     std::shared_ptr<ov::Model> model = core.read_model(models_path + "/openvino_model.xml");
 
-    DeviceConfig device_config(core, scheduler_config, device, plugin_config);
+    DeviceConfig device_config(core, scheduler_config, device, compile_plugin_config);
 
     bool is_need_per_layer_cache_control = scheduler_config.use_cache_eviction;
     apply_paged_attention_transformations(model, device_config, is_need_per_layer_cache_control);
 
-    ov::InferRequest infer_request = core.compile_model(model, device_config.get_device(), plugin_config).create_infer_request();
+    ov::InferRequest infer_request = core.compile_model(model, device_config.get_device(), compile_plugin_config).create_infer_request();
 
     // setup KV caches
     m_cache_manager = std::make_shared<CacheManager>(device_config, core);
@@ -69,7 +73,7 @@ ContinuousBatchingPipeline::ContinuousBatchingImpl::add_request(uint64_t request
     sampling_params.set_eos_token_id(m_tokenizer.get_eos_token_id());
     sampling_params.validate();
     SequenceGroup::Ptr sequence_group = std::make_shared<SequenceGroup>(request_id, input_ids,
-                                                                        sampling_params, 
+                                                                        sampling_params,
                                                                         m_scheduler->get_config().block_size,
                                                                         m_scheduler->get_config().enable_prefix_caching);
     sequence_group->set_sequence_group_ptr(sequence_group);
@@ -87,7 +91,7 @@ ContinuousBatchingPipeline::ContinuousBatchingImpl::add_request(uint64_t request
 GenerationHandle
 ContinuousBatchingPipeline::ContinuousBatchingImpl::add_request(uint64_t request_id,
                                                                 const std::string& prompt,
-                                                                ov::genai::GenerationConfig sampling_params) {                           
+                                                                ov::genai::GenerationConfig sampling_params) {
     static ManualTimer timer("tokenize");
     timer.start();
     ov::Tensor input_ids = m_tokenizer.encode(prompt).input_ids;
@@ -255,20 +259,44 @@ ContinuousBatchingPipeline::ContinuousBatchingImpl::generate(const std::vector<o
     std::vector<EncodedGenerationResult> results;
     results.reserve(m_awaiting_requests.size());
 
-    bool continue_generation = true;
+    auto drop_requests = [&] () {
+        for (const std::shared_ptr<ov::genai::SequenceGroup> request : m_requests) {
+            for (const auto& sequence: request->get_sequences()) {
+                if (m_scheduler->has_block_table(sequence->get_id())) {
+                    m_scheduler->free_sequence(sequence->get_id());
+                }
+            }
+            m_sampler->clear_beam_search_info(request->get_request_id());
+        }
+        m_requests.clear();
+    };
+
+    bool continue_generation = true, step_throws_exception = false;
     while (has_non_finished_requests() && continue_generation) {
-        step();
+        try {
+            step();
+        } catch (...) {
+            drop_requests();
+            throw;
+        }
         if (streamer_ptr && generations.at(0)->can_read()) {
             std::unordered_map<uint64_t, GenerationOutput> token = generations.at(0).get()->back();
             OPENVINO_ASSERT(1 == token.size());
             OPENVINO_ASSERT(1 == token.begin()->second.generated_ids.size());
             continue_generation = !streamer_ptr->put(token.begin()->second.generated_ids.at(0));
         }
     }
+
     if (streamer_ptr) {
         streamer_ptr->end();
     }
 
+    if (!continue_generation) {
+        drop_requests();
+    } else {
+        OPENVINO_ASSERT(m_requests.empty(), "Internal error: current request is supposed to be dropped within step() function as completed");
+    }
+
     for (size_t generation_idx = 0; generation_idx < generations.size(); ++generation_idx) {
         const auto& generation = generations[generation_idx];
         EncodedGenerationResult result;