Separate IO and Quantization args

scripts/quantize.py

@@ -37,11 +37,10 @@ class QuantMode(Enum):
 
 
 @dataclass
-class QuantizationArguments:
+class IOArguments:
     """
-    Arguments for quantizing ONNX models
+    Arguments to specify input and output folders
     """
-
     input_folder: str = field(
         metadata={
             "help": "Path of the input folder containing the .onnx models to quantize"
@@ -52,6 +51,13 @@ class QuantizationArguments:
             "help": "Path of the output folder where the quantized .onnx models will be saved"
         }
     )
+
+@dataclass
+class QuantizationArguments:
+    """
+    Arguments for quantizing ONNX models
+    """
+
     modes: QuantMode = field(
         default=QUANTIZE_OPTIONS,
         metadata={
@@ -220,20 +226,27 @@ def quantize_bnb4(
 
 def main():
 
-    parser = HfArgumentParser(QuantizationArguments)
-    (quantization_args,) = parser.parse_args_into_dataclasses()
+    parser = HfArgumentParser((IOArguments, QuantizationArguments))
+    io_args, quantization_args = parser.parse_args_into_dataclasses()
 
     # (Step 1) Validate the arguments
     if not quantization_args.modes:
         raise ValueError("At least one quantization mode must be specified")
 
+    input_folder = io_args.input_folder
+    if not os.path.exists(input_folder):
+        raise ValueError(f"Input folder {input_folder} does not exist")
+
     model_names_or_paths = [
-        os.path.join(quantization_args.input_folder, file)
-        for file in os.listdir(quantization_args.input_folder)
+        os.path.join(input_folder, file)
+        for file in os.listdir(input_folder)
         if file.endswith(".onnx")
     ]
     if not model_names_or_paths:
-        raise ValueError(f"No .onnx models found in {quantization_args.input_folder}")
+        raise ValueError(f"No .onnx models found in {input_folder}")
+
+    output_folder = io_args.output_folder
+    os.makedirs(output_folder, exist_ok=True)
 
     # (Step 2) Quantize the models
     for model_path in (progress_models := tqdm(model_names_or_paths)):
@@ -246,7 +259,7 @@ def main():
             mode = QuantMode(mode)
             suffix = QUANTIZE_SUFFIX_MAPPING.get(mode, mode.value)
             save_path = os.path.join(
-                quantization_args.output_folder,
+                output_folder,
                 f"{file_name_without_extension}_{suffix}.onnx",
             )