[Bug][CI] Update ONNXRuntime version and Fixed bug in test_MaxPool2D

tests/run.sh

@@ -26,16 +26,12 @@
 
 cases=$(find . -name "test*.py" | sort)
 ignore="test_auto_scan_roi_align.py \ # need to be rewrite
-        test_expand_as.py \
-        test_split.py \
         test_auto_scan_pool_adaptive_max_ops.py \
-        test_auto_scan_interpolate_v1_ops.py \
         test_auto_scan_isx_ops.py \
         test_auto_scan_masked_select.py \
         test_auto_scan_pad2d.py \
         test_auto_scan_roll.py \
         test_auto_scan_set_value.py \
-        test_auto_scan_top_k.py \
         test_auto_scan_unfold.py \
         test_auto_scan_uniform_random_batch_size_like.py \
         test_auto_scan_uniform_random.py \
@@ -64,10 +60,15 @@ ignore="test_auto_scan_roi_align.py \ # need to be rewrite
         test_quantize_model_minist.py \
         test_quantize_model_speedup.py"
 bug=0
+
+# Install Python Packet
 export PY_CMD=$1
-$PY_CMD -m pip install pytest
-$PY_CMD -m pip uninstall onnxruntime
-$PY_CMD -m pip install onnxruntime==1.11.1
+$PY_CMD -m pip install pytest -i https://pypi.tuna.tsinghua.edu.cn/simple
+$PY_CMD -m pip install onnx onnxruntime tqdm filelock -i https://pypi.tuna.tsinghua.edu.cn/simple
+$PY_CMD -m pip install paddlepaddle==2.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
+$PY_CMD -m pip install six hypothesis -i https://pypi.tuna.tsinghua.edu.cn/simple
+
+
 export ENABLE_DEV=ON
 echo "============ failed cases =============" >> result.txt
 for file in ${cases}

tests/test_auto_scan_squeeze2.py

@@ -52,29 +52,15 @@ def sample_convert_config(self, draw):
                 st.integers(
                     min_value=4, max_value=10), min_size=3, max_size=5))
 
-        dtype = draw(
-            st.sampled_from(["bool", "float32", "float64", "int32", "int64"]))
-        axis = None
-        axis_dtype = draw(st.sampled_from(["None", "int", "list"]))
-        if axis_dtype == "list":
-            axis = draw(
-                st.integers(
-                    min_value=-len(input_shape), max_value=len(input_shape) -
-                    1))
-            if axis == 0:
-                axis = [0, -1]
-            else:
-                axis = [0, axis]
-            input_shape[axis[0]] = 1
-            input_shape[axis[1]] = 1
-        elif axis_dtype == "int":
-            axis = draw(
-                st.integers(
-                    min_value=-len(input_shape), max_value=len(input_shape) -
-                    1))
-            input_shape[axis] = 1
+        dtype = draw(st.sampled_from(["bool", "float32", "float64", "int32", "int64"]))
+
+        axis = draw(st.integers(min_value=-len(input_shape), max_value=len(input_shape) - 1))
+        if axis == 0:
+            axis = [0, -1]
         else:
-            input_shape[0] = 1
+            axis = [0, axis]
+        input_shape[axis[0]] = 1
+        input_shape[axis[1]] = 1
 
         tensor_attr = draw(st.booleans())