Whisper pipeline: support stateful decoder (#1474)

Ticket: 159473
Optimum-intel PR: huggingface/optimum-intel#1078
This PR switches optimum-intel in tests to stateful seq2seq branch.
Tests check both stateful and with past decoders. Once optimum-intel PR
is merged I'll switch version back to master.

.github/workflows/windows.yml

@@ -311,10 +311,9 @@ jobs:
           python -m pip install . --verbose --find-links ${env:OV_INSTALL_DIR}/wheels
           python -m pip install ./tools/who_what_benchmark --find-links ${env:OV_INSTALL_DIR}/wheels
           
-          # will install transformers 4.46.3 version
           # transformers 4.46.3 will enable return_timestamps tests
           # this check enabled for windows only. Ticket: 160205.
-          python -m pip install git+https://github.com/huggingface/optimum-intel.git@753f84db6e0966580eb9eaa74a808213be730631
+          python -m pip install transformers==4.46.3
           
           python -m pytest -v ./tests/python_tests/test_whisper_pipeline.py -k "not test_smoke"
 

src/README.md

@@ -179,7 +179,7 @@ int main(int argc, char* argv[]) {
 
 Streaming with a custom class:
 
-C++ template for a stremer.
+C++ template for a streamer.
 ```cpp
 #include "openvino/genai/streamer_base.hpp"
 #include "openvino/genai/llm_pipeline.hpp"

src/cpp/src/logger.hpp

@@ -0,0 +1,17 @@
+// Copyright (C) 2025 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+
+#pragma once
+#include <iostream>
+#include <string>
+
+namespace ov::genai {
+
+class Logger {
+public:
+    static void warn(std::string message) {
+        std::cout << "[WARN] " << message << '\n';
+    };
+};
+
+}  // namespace ov::genai

src/cpp/src/whisper/models/decoder.cpp

@@ -0,0 +1,26 @@
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+
+#include "decoder.hpp"
+
+#include <filesystem>
+
+#include "statefull_decoder.hpp"
+#include "utils.hpp"
+#include "with_past_decoder.hpp"
+
+namespace ov::genai {
+std::shared_ptr<WhisperDecoder> WhisperDecoder::from_path(const std::filesystem::path& models_path,
+                                                          const std::string& device,
+                                                          const ov::AnyMap& properties) {
+    bool has_decoder_with_past = std::filesystem::exists(models_path / "openvino_decoder_with_past_model.xml");
+
+    if (has_decoder_with_past) {
+        return std::make_shared<WhisperWithPastDecoder>(models_path, device, properties);
+    }
+
+    return std::make_shared<WhisperStatefullDecoder>(models_path, device, properties);
+}
+
+WhisperDecoder::~WhisperDecoder() = default;
+}  // namespace ov::genai

src/cpp/src/whisper/models/decoder.hpp

@@ -0,0 +1,29 @@
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+
+#pragma once
+
+#include <filesystem>
+
+#include "openvino/genai/whisper_generation_config.hpp"
+#include "openvino/runtime/core.hpp"
+
+namespace ov::genai {
+class WhisperDecoder {
+public:
+    static std::shared_ptr<WhisperDecoder> from_path(const std::filesystem::path& models_path,
+                                                     const std::string& device,
+                                                     const ov::AnyMap& properties);
+
+    virtual std::pair<int64_t, float> detect_language(const ov::Tensor& encoder_hidden_state,
+                                                      const int64_t decoder_start_token_id) = 0;
+
+    virtual std::pair<ov::Tensor, float> decode(const ov::Tensor& encoder_hidden_state,
+                                                const std::vector<int64_t>& input_ids,
+                                                const size_t cache_position) = 0;
+
+    virtual void reset_state() = 0;
+
+    virtual ~WhisperDecoder();
+};
+}  // namespace ov::genai

src/cpp/src/whisper/models/statefull_decoder.cpp

@@ -0,0 +1,60 @@
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+
+#include "statefull_decoder.hpp"
+
+#include "utils.hpp"
+
+namespace ov::genai {
+WhisperStatefullDecoder::WhisperStatefullDecoder(const std::filesystem::path& models_path,
+                                                 const std::string& device,
+                                                 const ov::AnyMap& properties) {
+    ov::Core core = utils::singleton_core();
+
+    auto compiled_model = core.compile_model(models_path / "openvino_decoder_model.xml", device, properties);
+
+    utils::print_compiled_model_properties(compiled_model, "whisper decoder model");
+    m_request = compiled_model.create_infer_request();
+}
+
+std::pair<int64_t, float> WhisperStatefullDecoder::detect_language(const ov::Tensor& encoder_hidden_state,
+                                                                   const int64_t decoder_start_token_id) {
+    auto [output_tensor, infer_ms] = decode(encoder_hidden_state, {decoder_start_token_id}, 0);
+
+    int64_t output_token = ov::genai::utils::argmax(output_tensor, 0);
+
+    reset_state();
+
+    return {output_token, infer_ms};
+}
+
+std::pair<ov::Tensor, float> WhisperStatefullDecoder::decode(const ov::Tensor& encoder_hidden_state,
+                                                             const std::vector<int64_t>& input_ids,
+                                                             const size_t cache_position) {
+    m_request.set_tensor("encoder_hidden_states", encoder_hidden_state);
+
+    ov::Tensor input_ids_tensor(ov::element::i64, {1, input_ids.size()}, (void*)input_ids.data());
+    m_request.set_tensor("input_ids", input_ids_tensor);
+
+    ov::Tensor cache_position_tensor = m_request.get_tensor("cache_position");
+    cache_position_tensor.set_shape({input_ids.size()});
+
+    auto cache_data = cache_position_tensor.data<int64_t>();
+    std::iota(cache_data, cache_data + cache_position_tensor.get_size(), cache_position);
+
+    m_request.get_tensor("beam_idx").set_shape({1});
+    m_request.get_tensor("beam_idx").data<int32_t>()[0] = 0;
+
+    const auto infer_start = std::chrono::steady_clock::now();
+    m_request.infer();
+    const auto infer_ms = ov::genai::PerfMetrics::get_microsec(std::chrono::steady_clock::now() - infer_start);
+
+    auto output_tensor = m_request.get_tensor("logits");
+
+    return {output_tensor, infer_ms};
+};
+
+void WhisperStatefullDecoder::reset_state() {
+    m_request.reset_state();
+}
+}  // namespace ov::genai

src/cpp/src/whisper/models/statefull_decoder.hpp

@@ -0,0 +1,29 @@
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+
+#pragma once
+
+#include "decoder.hpp"
+#include "openvino/runtime/core.hpp"
+
+namespace ov::genai {
+
+class WhisperStatefullDecoder : public WhisperDecoder {
+public:
+    WhisperStatefullDecoder(const std::filesystem::path& models_path,
+                            const std::string& device,
+                            const ov::AnyMap& properties);
+
+    std::pair<int64_t, float> detect_language(const ov::Tensor& encoder_hidden_state,
+                                              const int64_t decoder_start_token_id) override;
+
+    std::pair<ov::Tensor, float> decode(const ov::Tensor& encoder_hidden_state,
+                                        const std::vector<int64_t>& input_ids,
+                                        const size_t cache_position) override;
+
+    void reset_state() override;
+
+private:
+    ov::InferRequest m_request;
+};
+}  // namespace ov::genai

src/cpp/src/whisper/models/with_past_decoder.cpp

@@ -0,0 +1,107 @@
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+
+#include "with_past_decoder.hpp"
+
+#include <regex>
+
+#include "logger.hpp"
+#include "utils.hpp"
+
+namespace {
+void set_past_key_value(ov::InferRequest& source, ov::InferRequest& dest) {
+    // source outputs:
+    // present.0.decoder.key
+    // present.0.decoder.value
+    // present.0.encoder.key
+    // present.0.encoder.value
+
+    // dest inputs:
+    // past_key_values.0.decoder.key
+    // past_key_values.0.decoder.value
+    // past_key_values.0.encoder.key
+    // past_key_values.0.encoder.value
+
+    for (auto& source_output : source.get_compiled_model().outputs()) {
+        std::string source_output_name = source_output.get_any_name();
+        if (source_output_name.find("logits") != std::string::npos) {
+            continue;
+        }
+
+        std::string with_past_input_name =
+            std::regex_replace(source_output_name, std::regex("present"), "past_key_values");
+
+        auto kv_tensor = source.get_tensor(source_output_name);
+        dest.set_tensor(with_past_input_name, ov::Tensor{kv_tensor});
+    }
+}
+}  // namespace
+
+namespace ov::genai {
+WhisperWithPastDecoder::WhisperWithPastDecoder(const std::filesystem::path& models_path,
+                                               const std::string& device,
+                                               const ov::AnyMap& properties) {
+    Logger::warn("Whisper decoder models with past is deprecated. Support will be removed in 2026.0.0 release.\n"
+                 "To obtain stateful decoder model use latest `optimum-intel` package:\n"
+                 "pip install optimum-intel@git+https://github.com/huggingface/optimum-intel.git\n"
+                 "optimum-cli export openvino --trust-remote-code --model openai/whisper-tiny whisper-tiny");
+    ov::Core core = utils::singleton_core();
+
+    auto compiled_model = core.compile_model(models_path / "openvino_decoder_model.xml", device, properties);
+    utils::print_compiled_model_properties(compiled_model, "whisper decoder model");
+    m_request_decoder = compiled_model.create_infer_request();
+
+    compiled_model = core.compile_model(models_path / "openvino_decoder_with_past_model.xml", device, properties);
+    utils::print_compiled_model_properties(compiled_model, "whisper decoder with past model");
+    m_request_decoder_with_past = compiled_model.create_infer_request();
+}
+
+std::pair<int64_t, float> WhisperWithPastDecoder::detect_language(const ov::Tensor& encoder_hidden_state,
+                                                                  const int64_t decoder_start_token_id) {
+    auto [output_tensor, infer_ms] = decode(encoder_hidden_state, {decoder_start_token_id}, 0);
+
+    int64_t output_token = ov::genai::utils::argmax(output_tensor, 0);
+
+    reset_state();
+
+    return {output_token, infer_ms};
+}
+
+std::pair<ov::Tensor, float> WhisperWithPastDecoder::decode(const ov::Tensor& encoder_hidden_state,
+                                                            const std::vector<int64_t>& input_ids,
+                                                            const size_t cache_position) {
+    const bool initial_step = cache_position == 0;
+    ov::InferRequest& request = initial_step ? m_request_decoder : m_request_decoder_with_past;
+
+    request.set_tensor("encoder_hidden_states", encoder_hidden_state);
+
+    const ov::Tensor input_ids_tensor(ov::element::i64, {1, input_ids.size()}, (void*)input_ids.data());
+    request.set_tensor("input_ids", input_ids_tensor);
+
+    if (!initial_step) {
+        ov::Tensor cache_position_tensor = request.get_tensor("cache_position");
+        cache_position_tensor.set_shape({1});
+        cache_position_tensor.data<int64_t>()[0] = cache_position;
+    }
+
+    const auto infer_start = std::chrono::steady_clock::now();
+    request.infer();
+    const auto infer_ms = ov::genai::PerfMetrics::get_microsec(std::chrono::steady_clock::now() - infer_start);
+
+    auto output_tensor = request.get_tensor("logits");
+
+    if (initial_step) {
+        set_past_key_value(m_request_decoder, m_request_decoder_with_past);
+    } else if (!m_decoder_with_past_kv_value_set) {
+        set_past_key_value(m_request_decoder_with_past, m_request_decoder_with_past);
+        m_decoder_with_past_kv_value_set = true;
+    }
+
+    return {output_tensor, infer_ms};
+}
+
+void WhisperWithPastDecoder::reset_state() {
+    m_request_decoder_with_past.reset_state();
+    m_decoder_with_past_kv_value_set = false;
+}
+}  // namespace ov::genai

src/cpp/src/whisper/models/with_past_decoder.hpp

@@ -0,0 +1,32 @@
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+
+#pragma once
+
+#include "decoder.hpp"
+#include "openvino/runtime/core.hpp"
+
+namespace ov::genai {
+
+class WhisperWithPastDecoder : public WhisperDecoder {
+public:
+    WhisperWithPastDecoder(const std::filesystem::path& models_path,
+                           const std::string& device,
+                           const ov::AnyMap& properties);
+
+    std::pair<int64_t, float> detect_language(const ov::Tensor& encoder_hidden_state,
+                                              const int64_t decoder_start_token_id) override;
+
+    std::pair<ov::Tensor, float> decode(const ov::Tensor& encoder_hidden_state,
+                                        const std::vector<int64_t>& input_ids,
+                                        const size_t cache_position) override;
+
+    void reset_state() override;
+
+private:
+    ov::InferRequest m_request_decoder;
+    ov::InferRequest m_request_decoder_with_past;
+    bool m_decoder_with_past_kv_value_set = false;
+};
+
+}  // namespace ov::genai