Update Imports and Add Notes for Future Reference

- Updated import statements in `convert.py`.
- Added import for `AutoTokenizer` from `transformers` module.
- Added conditional import for `gguf` from the local directory.
- Added comments and notes for future reference.

Additional Notes:

- Noted removal of a redundant `TypeAlias` import.
- Noted the removal of a `gguf` debug statement.
- Commented on the presence of `ARCH` and `NDArray` definitions.
- Commented on cleaning up and refactoring data type definitions.

convert.py

@@ -17,29 +17,58 @@ import signal
 import struct
 import sys
 import time
+import warnings
 import zipfile
 from abc import ABCMeta, abstractmethod
-from collections import OrderedDict
+from argparse import ArgumentParser
 from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor
 from dataclasses import dataclass
 from pathlib import Path
-from typing import IO, TYPE_CHECKING, Any, Callable, Iterable, Literal, Optional, TypeVar, cast
+from typing import (
+    IO,
+    TYPE_CHECKING,
+    Any,
+    Callable,
+    Iterable,
+    Literal,
+    Optional,
+    Tuple,
+    TypeVar,
+)
 
 import numpy as np
 from sentencepiece import SentencePieceProcessor
 
-if 'NO_LOCAL_GGUF' not in os.environ:
+try:
-    sys.path.insert(1, str(Path(__file__).parent / 'gguf-py'))
+    from transformers import AutoTokenizer
-import gguf
+except ModuleNotFoundError as e:
+    warnings.warn(f"Could not import AutoTokenizer from transformers: {e}")
 
-if TYPE_CHECKING:
+# If NO_LOCAL_GGUF is not set, try to import gguf from the local gguf-py directory
-    from typing import TypeAlias
+if "NO_LOCAL_GGUF" not in os.environ:
+    # Use absolute path to the gguf-py directory
+    gguf_py_dir = str(Path(__file__).resolve().parent / "gguf-py")
+    print(gguf_py_dir)  # NOTE: Remove this once path is verified after changes are completed
+    if gguf_py_dir not in sys.path:
+        sys.path.insert(1, gguf_py_dir)
 
-if hasattr(faulthandler, 'register') and hasattr(signal, 'SIGUSR1'):
+# Import gguf module
+try:
+    import gguf
+except ModuleNotFoundError as e:
+    print(f"Could not import gguf: {e}")
+    sys.exit(1)
+
+if TYPE_CHECKING:  # NOTE: This isn't necessary.
+    from typing import TypeAlias  # This can technically be omitted.
+
+if hasattr(faulthandler, "register") and hasattr(signal, "SIGUSR1"):
     faulthandler.register(signal.SIGUSR1)
 
-NDArray: TypeAlias = 'np.ndarray[Any, Any]'
+# NOTE: n-dimensional arrays should be directly referenced
+NDArray: TypeAlias = "np.ndarray[Any, Any]"
 
+# Why is this here? LLAMA and GPT are technically the only compatible ARCHs.
 ARCH = gguf.MODEL_ARCH.LLAMA
 
 DEFAULT_CONCURRENCY = 8
@@ -48,7 +77,7 @@ DEFAULT_CONCURRENCY = 8
 # data types
 #
 
-
+# TODO: Clean up and refactor data types
 @dataclass(frozen=True)
 class DataType:
     name: str