Runner support for multiple ptd files (pytorch#14758)

This PR was created by the merge bot to help merge the original PR into
the main branch.
ghstack PR number: pytorch#14159 by
@lucylq
^ Please use this as the source of truth for the PR details, comments,
and reviews
ghstack PR base:
https://github.com/pytorch/executorch/tree/gh/lucylq/111/base
ghstack PR head:
https://github.com/pytorch/executorch/tree/gh/lucylq/111/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head:
https://github.com/pytorch/executorch/tree/gh/lucylq/111/orig
Differential Revision:
[D82072385](https://our.internmc.facebook.com/intern/diff/D82072385/)
@diff-train-skip-merge

Co-authored-by: lucylq <[email protected]>

Author: pytorchbot

examples/models/llama/runner/runner.cpp

@@ -37,6 +37,21 @@ std::unique_ptr<llm::TextLLMRunner> create_llama_runner(
     const std::string& tokenizer_path,
     std::optional<const std::string> data_path,
     float temperature) {
+  if (data_path.has_value()) {
+    std::vector<std::string> data_files;
+    data_files.push_back(data_path.value());
+    return create_llama_runner(
+        model_path, tokenizer_path, std::move(data_files), temperature);
+  }
+  return create_llama_runner(
+      model_path, tokenizer_path, std::vector<std::string>(), temperature);
+}
+
+std::unique_ptr<llm::TextLLMRunner> create_llama_runner(
+    const std::string& model_path,
+    const std::string& tokenizer_path,
+    std::vector<std::string> data_files,
+    float temperature) {
   ET_LOG(
       Info,
       "Creating LLaMa runner: model_path=%s, tokenizer_path=%s",
@@ -55,7 +70,7 @@ std::unique_ptr<llm::TextLLMRunner> create_llama_runner(
     return nullptr;
   }
   return llm::create_text_llm_runner(
-      model_path, std::move(tokenizer), data_path);
+      model_path, std::move(tokenizer), data_files);
 }
 
 } // namespace example

examples/models/llama/runner/runner.h

@@ -11,12 +11,9 @@
 
 #pragma once
 
-#include <cstdint>
-#include <functional>
 #include <memory>
 #include <optional>
 #include <string>
-#include <unordered_map>
 
 #include <executorch/examples/models/llama/tokenizer/llama_tiktoken.h>
 #include <executorch/extension/llm/runner/irunner.h>
@@ -30,7 +27,13 @@ namespace llm = ::executorch::extension::llm;
 std::unique_ptr<llm::TextLLMRunner> create_llama_runner(
     const std::string& model_path,
     const std::string& tokenizer_path,
-    std::optional<const std::string> data_path = std::nullopt,
+    std::optional<const std::string> data_path,
+    float temperature = -1.0f);
+
+std::unique_ptr<llm::TextLLMRunner> create_llama_runner(
+    const std::string& model_path,
+    const std::string& tokenizer_path,
+    std::vector<std::string> data_files = {},
     float temperature = -1.0f);
 
 std::unique_ptr<tokenizers::Tokenizer> load_llama_tokenizer(

extension/llm/runner/llm_runner_helper.cpp

@@ -183,6 +183,24 @@ std::unique_ptr<TextLLMRunner> create_text_llm_runner(
     std::unique_ptr<::tokenizers::Tokenizer> tokenizer,
     std::optional<const std::string> data_path,
     float temperature) {
+  if (data_path.has_value()) {
+    std::vector<std::string> data_files;
+    data_files.push_back(data_path.value());
+    return create_text_llm_runner(
+        model_path, std::move(tokenizer), std::move(data_files), temperature);
+  }
+  return create_text_llm_runner(
+      model_path,
+      std::move(tokenizer),
+      std::vector<std::string>(),
+      temperature);
+}
+
+std::unique_ptr<TextLLMRunner> create_text_llm_runner(
+    const std::string& model_path,
+    std::unique_ptr<::tokenizers::Tokenizer> tokenizer,
+    std::vector<std::string> data_files,
+    float temperature) {
   // Sanity check tokenizer
   if (!tokenizer || !tokenizer->is_loaded()) {
     ET_LOG(Error, "Tokenizer is null or not loaded");
@@ -191,9 +209,9 @@ std::unique_ptr<TextLLMRunner> create_text_llm_runner(
 
   // Create the Module
   std::unique_ptr<Module> module;
-  if (data_path.has_value()) {
+  if (data_files.size() > 0) {
     module = std::make_unique<Module>(
-        model_path, data_path.value(), Module::LoadMode::File);
+        model_path, data_files, Module::LoadMode::File);
   } else {
     module = std::make_unique<Module>(model_path, Module::LoadMode::File);
   }

extension/llm/runner/llm_runner_helper.h

@@ -101,7 +101,28 @@ ET_EXPERIMENTAL std::unordered_set<uint64_t> get_eos_ids(
 ET_EXPERIMENTAL std::unique_ptr<TextLLMRunner> create_text_llm_runner(
     const std::string& model_path,
     std::unique_ptr<::tokenizers::Tokenizer> tokenizer,
-    std::optional<const std::string> data_path = std::nullopt,
+    std::optional<const std::string> data_path,
+    float temperature = -1.0f);
+
+/**
+ * @brief Creates a TextLLMRunner instance with dependency injection
+ *
+ * This factory function creates and initializes a TextLLMRunner with all
+ * necessary components for text generation using the specified model and
+ * tokenizer.
+ *
+ * @param model_path Path to the model file
+ * @param tokenizer Initialized tokenizer instance
+ * @param data_files Vector of paths to additional data required by the model
+ * @param temperature Optional temperature parameter for controlling randomness
+ * (deprecated)
+ * @return std::unique_ptr<TextLLMRunner> Initialized TextLLMRunner instance, or
+ * nullptr on failure
+ */
+ET_EXPERIMENTAL std::unique_ptr<TextLLMRunner> create_text_llm_runner(
+    const std::string& model_path,
+    std::unique_ptr<::tokenizers::Tokenizer> tokenizer,
+    std::vector<std::string> data_files = {},
     float temperature = -1.0f);
 
 /**