upgrade onnx to 1.17 (#309)

* upgrade onnx * fix np function
microsoft · Dec 3, 2024 · f7a8eb6 · f7a8eb6
1 parent 209a47e
commit f7a8eb6
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Showing 4 changed files with 9 additions and 9 deletions.
diff --git a/.github/workflows/linux-CI.yml b/.github/workflows/linux-CI.yml
@@ -21,11 +21,11 @@ jobs:
         python-version: ["3.8", "3.9", "3.10"]
         include: 
           - python-version: "3.8"
-            onnx-version: 1.16
+            onnx-version: 1.17
           - python-version: "3.9"
-            onnx-version: 1.16
+            onnx-version: 1.17
           - python-version: "3.10"
-            onnx-version: 1.16
+            onnx-version: 1.17
 
 
     steps:

diff --git a/.github/workflows/windows-CI.yml b/.github/workflows/windows-CI.yml
@@ -21,11 +21,11 @@ jobs:
         python-version: ["3.8", "3.9", "3.10"]
         include: 
           - python-version: "3.8"
-            onnx-version: 1.16
+            onnx-version: 1.17
           - python-version: "3.9"
-            onnx-version: 1.16
+            onnx-version: 1.17
           - python-version: "3.10"
-            onnx-version: 1.16
+            onnx-version: 1.17
 
     steps:
     - uses: actions/checkout@v4

diff --git a/onnxconverter_common/onnx2py.py b/onnxconverter_common/onnx2py.py
@@ -177,7 +177,7 @@ def convert_tensor(tensor):
     if tensor.data_location == TensorProto.EXTERNAL:
         return convert_external_tensor(tensor)
     np_data = numpy_helper.to_array(tensor)
-    if np.product(np_data.shape) <= 10:
+    if np.prod(np_data.shape) <= 10:
         return numpy_helper_traced.from_array(np_data, name=tensor.name)
     dtype = np_data.dtype
     if dtype == object:

diff --git a/onnxconverter_common/pytracing.py b/onnxconverter_common/pytracing.py
@@ -22,8 +22,8 @@ class TracingObject:
     Used by onnx2py to mock a module like numpy or onnx.helper and record calls on that module
     Ex:
         np = TracingObject("np")
-        x = np.array(np.product([1, 2, 3]), np.int32)
-        assert repr(x) == "np.array(np.product([1, 2, 3]), np.int32)"
+        x = np.array(np.prod([1, 2, 3]), np.int32)
+        assert repr(x) == "np.array(np.prod([1, 2, 3]), np.int32)"
     """
     def __init__(self, trace, py_obj=NoPyObjException):
         self._trace = trace