chore: consolidate scripts under ./scripts directory (#1646)

llama_stack/scripts/generate_prompt_format.py

@@ -1,72 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# top-level folder for each specific model found within the models/ directory at
-# the top-level of this source tree.
-
-import importlib
-from pathlib import Path
-
-import fire
-
-from llama_stack.models.llama.sku_list import resolve_model
-from llama_stack.providers.inline.inference.meta_reference.config import MetaReferenceInferenceConfig
-from llama_stack.providers.inline.inference.meta_reference.llama3.generation import Llama3
-
-THIS_DIR = Path(__file__).parent.resolve()
-
-
-def run_main(
-    model_id: str,
-    checkpoint_dir: str,
-    module_name: str,
-    output_path: str,
-):
-    module = importlib.import_module(module_name)
-    assert hasattr(module, "usecases"), f"Module {module_name} missing usecases function"
-
-    config = MetaReferenceInferenceConfig(
-        model=model_id,
-        max_seq_len=512,
-        max_batch_size=1,
-        checkpoint_dir=checkpoint_dir,
-    )
-    llama_model = resolve_model(model_id)
-    if not llama_model:
-        raise ValueError(f"Model {model_id} not found")
-    generator = Llama3.build(
-        config=config,
-        model_id=model_id,
-        llama_model=llama_model,
-    )
-
-    use_cases = module.usecases()
-    text = ""
-    for u in use_cases:
-        if isinstance(u, str):
-            use_case_text = f"\n{u}\n"
-        else:
-            use_case_text = u.to_text(generator)
-
-        text += use_case_text
-        print(use_case_text)
-
-    text += "Thank You!\n"
-
-    with open(output_path, "w") as f:
-        f.write(text)
-
-
-def main():
-    fire.Fire(run_main)
-
-
-if __name__ == "__main__":
-    main()