[Cherry Pick] [Fix] Allow for processing Path in the sparsezoo analysis

src/sparsezoo/analyze/analysis.py

@@ -25,7 +25,6 @@
 from typing import Any, Dict, List, Optional, Union
 
 import numpy
-import onnx
 import yaml
 from onnx import ModelProto, NodeProto
 from pydantic import BaseModel, Field, PositiveFloat, PositiveInt
@@ -68,6 +67,7 @@
     is_parameterized_prunable_layer,
     is_quantized_layer,
     is_sparse_layer,
+    load_model,
 )
 
 
@@ -914,7 +914,7 @@ def from_onnx(cls, onnx_file_path: Union[str, ModelProto]):
             model_onnx = onnx_file_path
             model_name = ""
         else:
-            model_onnx = onnx.load(onnx_file_path)
+            model_onnx = load_model(onnx_file_path)
             model_name = str(onnx_file_path)
 
         model_graph = ONNXGraph(model_onnx)

src/sparsezoo/utils/onnx/external_data.py

@@ -174,7 +174,7 @@ def validate_onnx(model: Union[str, ModelProto]):
         raise ValueError(f"Invalid onnx model: {err}")
 
 
-def load_model(model: Union[str, ModelProto]) -> ModelProto:
+def load_model(model: Union[str, ModelProto, Path]) -> ModelProto:
     """
     Load an ONNX model from an onnx model file path. If a ModelProto
     is given, then it is returned.
@@ -185,7 +185,7 @@ def load_model(model: Union[str, ModelProto]) -> ModelProto:
     if isinstance(model, ModelProto):
         return model
 
-    if isinstance(model, str):
+    if isinstance(model, (Path, str)):
         return onnx.load(clean_path(model))
 
     raise ValueError(f"unknown type given for model: {type(model)}")