add buck and vtito model support

Differential Revision: D93530191

Pull Request resolved: #17513

Author: billmguo

examples/models/gemma3/BUCK

@@ -1,9 +1,14 @@
 load("@fbcode_macros//build_defs:build_file_migration.bzl", "fbcode_target", "non_fbcode_target")
 load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
 load("@fbcode_macros//build_defs:python_library.bzl", "python_library")
+load(":targets.bzl", "define_common_targets")
 
 oncall("executorch")
 
+non_fbcode_target(_kind = define_common_targets,)
+
+fbcode_target(_kind = define_common_targets,)
+
 fbcode_target(_kind = runtime.python_library,
     name = "gemma3",
     srcs = [

examples/models/gemma3/e2e_runner.cpp

@@ -55,6 +55,11 @@ DEFINE_int32(
     -1,
     "Number of CPU threads for inference. Defaults to -1, which implies we'll use a heuristic to derive the # of performant cores for a specific device.");
 
+DEFINE_int32(
+    target_size,
+    896,
+    "Target image size for resizing. Defaults to 896.");
+
 DEFINE_bool(warmup, false, "Whether to run a warmup run.");
 
 namespace {
@@ -109,8 +114,7 @@ MultimodalInput loadImage(const std::string& image_path) {
       height,
       channels);
 
-  // Resize to 896x896 (Gemma3 vision encoder input size)
-  const int target_size = 896;
+  const int target_size = FLAGS_target_size;
   std::vector<uint8_t> resized_data(target_size * target_size * channels);
 
   int resize_result = stbir_resize_uint8(

examples/models/gemma3/targets.bzl

@@ -0,0 +1,28 @@
+load("@fbsource//xplat/executorch/build:runtime_wrapper.bzl", "runtime")
+
+def define_common_targets():
+    runtime.cxx_binary(
+        name = "vision_llm_runner",
+        srcs = [
+            "e2e_runner.cpp",
+        ],
+        compiler_flags = ["-Wno-global-constructors"],
+        preprocessor_flags = ["-DET_USE_THREADPOOL"],
+        deps = [
+            "//executorch/extension/llm/runner:multimodal_runner_lib",
+            "//executorch/extension/llm/runner:runner_lib",
+            "//executorch/extension/module:module",
+            "//executorch/extension/tensor:tensor",
+            "//executorch/extension/threadpool:cpuinfo_utils",
+            "//executorch/extension/threadpool:threadpool",
+            "//pytorch/tokenizers:tiktoken",
+            "//executorch/backends/xnnpack:xnnpack_backend",
+            "//executorch/configurations:optimized_native_cpu_ops",
+            "//executorch/kernels/quantized:generated_lib",
+            "//executorch/extension/llm/custom_ops:custom_ops",
+        ],
+        external_deps = [
+            "gflags",
+            "stb",
+        ],
+    )