From 9e19684944adfda4a414fc91a67259894fce2898 Mon Sep 17 00:00:00 2001
From: duanshengliu <44742794+duanshengliu@users.noreply.github.com>
Date: Tue, 27 Feb 2024 12:56:32 +0800
Subject: [PATCH] Fix the TypeError issue in quantize.py (#19459)

### Description
<!-- Describe your changes. -->
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Fix related bug as described in
https://github.com/microsoft/onnxruntime/issues/19430
---
 onnxruntime/python/tools/quantization/quantize.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/onnxruntime/python/tools/quantization/quantize.py b/onnxruntime/python/tools/quantization/quantize.py
index 1bd2ef4215..05d3ac248c 100644
--- a/onnxruntime/python/tools/quantization/quantize.py
+++ b/onnxruntime/python/tools/quantization/quantize.py
@@ -479,7 +479,7 @@ def quantize_static(
         del dataloader
         model = sq.transform(extra_options.get("SmoothQuantAlpha", 0.5), extra_options.get("SmoothQuantFolding", True))
         sq_path = tempfile.TemporaryDirectory(prefix="ort.quant.")
-        model_input = Path(sq_path).joinpath("sq_model.onnx").as_posix()
+        model_input = Path(sq_path.name).joinpath("sq_model.onnx").as_posix()
         model.save(model_input)
         nodes_to_exclude.extend([i.name for i in model.model.graph.node if i.name not in orig_nodes])
         model = load_model_with_shape_infer(Path(model_input))  # use smooth quant model for calibration