Repository: onnx/onnx

Issue:
[CI] Check backend tests have been generated
### Problem
It's currently easy to merge a PR with missing or out-of-date backend test files.

CI can find issues if those files are present, particularly for functions, where the expanded graph can fail the checker or shape inference, exposing bugs in the body definition. (e.g. #2607 #2623)

### Suggested resolution
It would be good to check in CI: generate backend test data & models and compare with what's checked into git.

### Questions
It's worth noting that model files can have older IR and opset versions, but running [`tools/update_doc.sh`](https://github.com/onnx/onnx/blob/master/tools/update_doc.sh) generates the same files with newer versions.
⇒ _Question: presumably we want to keep these older versions the same -- should we change the python that generates them to explicitly set the versions? Atm it seems like a manual process of choosing which of the many changed files should actually be added to git._


Discussion:
@TMVector I'm viewing this issue created to track the work items you're interested in and going to work on :).

Indeed, adding CI to check the files is a great idea, given you're helping creating two PRs to generate the test data which were missed in previous PRs. Thank you!


Resolving patch:
diff --git a/onnx/helper.py b/onnx/helper.py
--- a/onnx/helper.py
+++ b/onnx/helper.py
@@ -52,6 +52,8 @@ def process(release_version: Text, ir_version: int, *args: Any) -> None:
         for pair in zip(['ai.onnx', 'ai.onnx.ml', 'ai.onnx.training'], args):
             if (pair not in result):
                 result[pair] = ir_version
+                if pair[0] == 'ai.onnx.training':
+                    result['ai.onnx.preview.training', pair[1]] = ir_version
     for row in table:
         process(*row)
     return result


Test patch:
diff --git a/onnx/backend/test/case/model/expand.py b/onnx/backend/test/case/model/expand.py
--- a/onnx/backend/test/case/model/expand.py
+++ b/onnx/backend/test/case/model/expand.py
@@ -37,26 +37,26 @@ def make_graph(node: onnx.helper.NodeProto, input_shape: Sequence[int], shape_sh
         shape = np.array([3, 1], dtype=np.int64)
         y = x * np.ones(shape, dtype=np.float32)
         graph = make_graph(node, input_shape, shape.shape, y.shape)
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 9)])
         expect(model, inputs=[x, shape], outputs=[y], name="test_expand_shape_model1")
 
         #2nd testcase
         shape = np.array([1, 3], dtype=np.int64)
         y = x * np.ones(shape, dtype=np.float32)
         graph = make_graph(node, input_shape, shape.shape, y.shape)
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 9)])
         expect(model, inputs=[x, shape], outputs=[y], name="test_expand_shape_model2")
 
         #3rd testcase
         shape = np.array([3, 1, 3], dtype=np.int64)
         y = x * np.ones(shape, dtype=np.float32)
         graph = make_graph(node, input_shape, shape.shape, y.shape)
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 9)])
         expect(model, inputs=[x, shape], outputs=[y], name="test_expand_shape_model3")
 
         #4th testcase
         shape = np.array([3, 3, 1, 3], dtype=np.int64)
         y = x * np.ones(shape, dtype=np.float32)
         graph = make_graph(node, input_shape, shape.shape, y.shape)
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 9)])
         expect(model, inputs=[x, shape], outputs=[y], name="test_expand_shape_model4")
diff --git a/onnx/backend/test/case/model/gradient.py b/onnx/backend/test/case/model/gradient.py
--- a/onnx/backend/test/case/model/gradient.py
+++ b/onnx/backend/test/case/model/gradient.py
@@ -46,7 +46,7 @@ def export_gradient_scalar_add() -> None:
         opsets = [
             onnx.helper.make_operatorsetid(ONNX_DOMAIN, 12),
             onnx.helper.make_operatorsetid(AI_ONNX_PREVIEW_TRAINING_DOMAIN, 1)]
-        model = onnx.helper.make_model(
+        model = onnx.helper.make_model_gen_version(
             graph,
             producer_name='backend-test',
             opset_imports=opsets)
@@ -94,7 +94,7 @@ def export_gradient_scalar_add_and_mul() -> None:
         opsets = [
             onnx.helper.make_operatorsetid(ONNX_DOMAIN, 12),
             onnx.helper.make_operatorsetid(AI_ONNX_PREVIEW_TRAINING_DOMAIN, 1)]
-        model = onnx.helper.make_model(graph,
+        model = onnx.helper.make_model_gen_version(graph,
             producer_name='backend-test',
             opset_imports=opsets)
         expect(model, inputs=[a, b], outputs=[d, dd_da, dd_db],
diff --git a/onnx/backend/test/case/model/sequence.py b/onnx/backend/test/case/model/sequence.py
--- a/onnx/backend/test/case/model/sequence.py
+++ b/onnx/backend/test/case/model/sequence.py
@@ -139,7 +139,7 @@ def make_graph(
             [onnx.TensorProto.FLOAT] * 3 + [onnx.TensorProto.INT64] * 2,  # type: ignore
             [onnx.TensorProto.FLOAT],
             [pos, pos_at])
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 12)])
         expect(model, inputs=[x, y, z], outputs=[out], name="test_sequence_model1")
 
         #2nd testcase - erase and at.
@@ -175,7 +175,7 @@ def make_graph(
             [onnx.TensorProto.FLOAT] * 3 + [onnx.TensorProto.INT64] * 2,  # type: ignore
             [onnx.TensorProto.FLOAT],
             [pos_erase, pos_at])
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 12)])
         expect(model, inputs=[x, y, z], outputs=[out], name="test_sequence_model2")
 
         #3rd testcase - erase, insert and at, with negative index value.
@@ -215,7 +215,7 @@ def make_graph(
             [onnx.TensorProto.FLOAT] * 3 + [onnx.TensorProto.INT64] * 3,  # type: ignore
             [onnx.TensorProto.FLOAT],
             [pos_erase, pos_insert, pos_at])
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 12)])
         expect(model, inputs=[x, y, z], outputs=[out], name="test_sequence_model3")
 
         #4th testcase - concat
@@ -239,7 +239,7 @@ def make_graph(
             ['out'],
             [onnx.TensorProto.FLOAT] * 3,  # type: ignore
             [onnx.TensorProto.FLOAT])
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 12)])
         expect(model, inputs=[x, y, z], outputs=[concat_out], name="test_sequence_model4")
 
         #5th testcase - concat with new_axis = 1
@@ -263,7 +263,7 @@ def make_graph(
             ['out'],
             [onnx.TensorProto.FLOAT] * 3,  # type: ignore
             [onnx.TensorProto.FLOAT],)
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 12)])
         expect(model, inputs=[x, y, z], outputs=[concat_out], name="test_sequence_model5")
 
         #6th testcase - split and len
@@ -292,7 +292,7 @@ def make_graph(
                     onnx.TensorProto.INT64,
                     len_shape)])  # type: ignore
 
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 12)])
         expect(model, inputs=[x], outputs=[out], name="test_sequence_model6")
 
         #7th testcase - split with keepdims=0, and SequenceAt
@@ -319,7 +319,7 @@ def make_graph(
             [onnx.TensorProto.DOUBLE, onnx.TensorProto.INT64],
             [onnx.TensorProto.DOUBLE],
             [pos_at])
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 12)])
         expect(model, inputs=[x], outputs=[out], name="test_sequence_model7")
 
         #8th testcase - split zero length
@@ -351,5 +351,5 @@ def make_graph(
                     onnx.TensorProto.INT64,
                     len_shape)])  # type: ignore
 
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 12)])
         expect(model, inputs=[x, splits], outputs=[out_len], name="test_sequence_model8")
diff --git a/onnx/backend/test/case/model/shrink.py b/onnx/backend/test/case/model/shrink.py
--- a/onnx/backend/test/case/model/shrink.py
+++ b/onnx/backend/test/case/model/shrink.py
@@ -21,8 +21,8 @@ def export() -> None:
                 'x', onnx.TensorProto.FLOAT, [5])],
             outputs=[onnx.helper.make_tensor_value_info(
                 'y', onnx.TensorProto.FLOAT, [5])])
-        model = onnx.helper.make_model(graph,
-                                       producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph,
+                                       producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 10)])
 
         x = np.array([-2.0, -1.0, 0.0, 1.0, 2.0], dtype=np.float32)
         y = np.array([-0.5, 0.0, 0.0, 0.0, 0.5], dtype=np.float32)
diff --git a/onnx/backend/test/case/model/sign.py b/onnx/backend/test/case/model/sign.py
--- a/onnx/backend/test/case/model/sign.py
+++ b/onnx/backend/test/case/model/sign.py
@@ -27,6 +27,6 @@ def export() -> None:
             outputs=[onnx.helper.make_tensor_value_info('y',
                                                         onnx.TensorProto.FLOAT,
                                                         [7])])
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 9)])
         expect(model, inputs=[x], outputs=[y],
                name='test_sign_model')
diff --git a/onnx/backend/test/case/model/single-relu.py b/onnx/backend/test/case/model/single-relu.py
--- a/onnx/backend/test/case/model/single-relu.py
+++ b/onnx/backend/test/case/model/single-relu.py
@@ -21,7 +21,7 @@ def export() -> None:
                 'x', onnx.TensorProto.FLOAT, [1, 2])],
             outputs=[onnx.helper.make_tensor_value_info(
                 'y', onnx.TensorProto.FLOAT, [1, 2])])
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 9)])
 
         x = np.random.randn(1, 2).astype(np.float32)
         y = np.maximum(x, 0)
diff --git a/onnx/backend/test/case/model/stringnormalizer.py b/onnx/backend/test/case/model/stringnormalizer.py
--- a/onnx/backend/test/case/model/stringnormalizer.py
+++ b/onnx/backend/test/case/model/stringnormalizer.py
@@ -40,7 +40,7 @@ def make_graph(node: onnx.helper.NodeProto, input_shape: Sequence[int], output_s
         y = np.array([u'tuesday', u'wednesday', u'thursday']).astype(object)
 
         graph = make_graph(node, [4], [3])
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 10)])
         expect(model, inputs=[x], outputs=[y], name="test_strnorm_model_monday_casesensintive_nochangecase")
 
         #2nd model_nostopwords_nochangecase
@@ -55,7 +55,7 @@ def make_graph(node: onnx.helper.NodeProto, input_shape: Sequence[int], output_s
         y = x
 
         graph = make_graph(node, [2], [2])
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 10)])
         expect(model, inputs=[x], outputs=[y], name="test_strnorm_model_nostopwords_nochangecase")
 
         # 3rd model_monday_casesensintive_lower
@@ -73,7 +73,7 @@ def make_graph(node: onnx.helper.NodeProto, input_shape: Sequence[int], output_s
         y = np.array([u'tuesday', u'wednesday', u'thursday']).astype(object)
 
         graph = make_graph(node, [4], [3])
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 10)])
         expect(model, inputs=[x], outputs=[y], name="test_strnorm_model_monday_casesensintive_lower")
 
         #4 model_monday_casesensintive_upper
@@ -91,7 +91,7 @@ def make_graph(node: onnx.helper.NodeProto, input_shape: Sequence[int], output_s
         y = np.array([u'TUESDAY', u'WEDNESDAY', u'THURSDAY']).astype(object)
 
         graph = make_graph(node, [4], [3])
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 10)])
         expect(model, inputs=[x], outputs=[y], name="test_strnorm_model_monday_casesensintive_upper")
 
         #5 monday_insensintive_upper_twodim
@@ -110,7 +110,7 @@ def make_graph(node: onnx.helper.NodeProto, input_shape: Sequence[int], output_s
         y = np.array([u'TUESDAY', u'WEDNESDAY', u'TUESDAY', u'WEDNESDAY']).astype(object).reshape(output_shape)
 
         graph = make_graph(node, input_shape, output_shape)
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 10)])
         expect(model, inputs=[x], outputs=[y], name="test_strnorm_model_monday_insensintive_upper_twodim")
 
         #6 monday_empty_output
@@ -128,5 +128,5 @@ def make_graph(node: onnx.helper.NodeProto, input_shape: Sequence[int], output_s
         y = np.array([u'']).astype(object)
 
         graph = make_graph(node, [2], [1])
-        model = onnx.helper.make_model(graph, producer_name='backend-test')
+        model = onnx.helper.make_model_gen_version(graph, producer_name='backend-test', opset_imports=[onnx.helper.make_opsetid("", 10)])
         expect(model, inputs=[x], outputs=[y], name="test_strnorm_model_monday_empty_output")
diff --git a/onnx/backend/test/case/node/__init__.py b/onnx/backend/test/case/node/__init__.py
--- a/onnx/backend/test/case/node/__init__.py
+++ b/onnx/backend/test/case/node/__init__.py
@@ -8,16 +8,16 @@
 
 import onnx
 import onnx.mapping
-import onnx.helper
 
 from ..utils import import_recursive
 from ..test_case import TestCase
 
 
 _NodeTestCases = []
-_TargetOpType = ""
+_TargetOpType = None
 
-from onnx.onnx_pb import NodeProto, AttributeProto, TypeProto, FunctionProto, GraphProto
+
+from onnx.onnx_pb import NodeProto, AttributeProto, TypeProto, FunctionProto, GraphProto, ModelProto
 
 
 def _rename_edges_helper(internal_node: NodeProto,
@@ -153,12 +153,32 @@ def _extract_value_info(input: Union[List[Any], np.ndarray, None], name: Text, t
     return onnx.helper.make_value_info(name, type_proto)
 
 
+def _make_test_model_gen_version(graph: GraphProto, **kwargs: Any) -> ModelProto:
+    latest_onnx_version, latest_ml_version, latest_training_version = onnx.helper.VERSION_TABLE[-1][2:5]  # type: ignore
+    if "opset_imports" in kwargs:
+        for opset in kwargs["opset_imports"]:
+            # If the test model uses an unreleased opset version (latest_version+1),
+            # directly use make_model to create a model with the latest ir version
+            if (
+                ((opset.domain == "" or opset.domain == "ai.onnx") and opset.version == latest_onnx_version + 1)
+                or (opset.domain == "ai.onnx.ml" and opset.version == latest_ml_version + 1)
+                or ((opset.domain == "ai.onnx.training version" or opset.domain == "ai.onnx.preview.training") and opset.version == latest_training_version + 1)
+            ):
+                return onnx.helper.make_model(graph, **kwargs)
+    # Otherwise, find and use the corresponding ir version according to given opset version
+    return onnx.helper.make_model_gen_version(graph, **kwargs)
+
+
 # In the case of ops with optional inputs and outputs, node.input and node.output indicate
 # which inputs/outputs are present and which are omitted. However, the parameter inputs
 # and outputs of this function include values only for inputs/outputs that are present.
 # E.g., for an op with 3 inputs, if the second parameter is optional and we wish to omit it,
 # node.inputs would look like ["Param1", "", "Param3"], while inputs would look like
 # [input-1-value, input-3-value]
+# Instead of creating model with latest version, it now generates models for since_version by default.
+# Thus it can make every model uses the same opset version after every opset change.
+# Besides, user can specify "use_max_opset_version" to generate models for
+# the latest opset vesion that supports before targeted opset version
 def expect(node: onnx.NodeProto,
            inputs: Sequence[np.ndarray],
            outputs: Sequence[np.ndarray],
@@ -168,16 +188,16 @@ def expect(node: onnx.NodeProto,
     # skip if the node's op_type is not same as the given one
     if _TargetOpType and node.op_type != _TargetOpType:
         return
-    present_inputs = [x for x in node.input if (x != '')]
-    present_outputs = [x for x in node.output if (x != '')]
+    present_inputs = [x for x in node.input if (x != "")]
+    present_outputs = [x for x in node.output if (x != "")]
     input_type_protos = [None] * len(inputs)
-    if 'input_type_protos' in kwargs:
-        input_type_protos = kwargs[str('input_type_protos')]
-        del kwargs[str('input_type_protos')]
+    if "input_type_protos" in kwargs:
+        input_type_protos = kwargs[str("input_type_protos")]
+        del kwargs[str("input_type_protos")]
     output_type_protos = [None] * len(outputs)
-    if 'output_type_protos' in kwargs:
-        output_type_protos = kwargs[str('output_type_protos')]
-        del kwargs[str('output_type_protos')]
+    if "output_type_protos" in kwargs:
+        output_type_protos = kwargs[str("output_type_protos")]
+        del kwargs[str("output_type_protos")]
     inputs_vi = [_extract_value_info(arr, arr_name, input_type)
                  for arr, arr_name, input_type in zip(inputs, present_inputs, input_type_protos)]
     outputs_vi = [_extract_value_info(arr, arr_name, output_type)
@@ -187,8 +207,15 @@ def expect(node: onnx.NodeProto,
         name=name,
         inputs=inputs_vi,
         outputs=outputs_vi)
-    kwargs[str('producer_name')] = 'backend-test'
-    model = onnx.helper.make_model(graph, **kwargs)
+    kwargs[str("producer_name")] = "backend-test"
+
+    if "opset_imports" not in kwargs:
+        # To make sure the model will be produced with the same opset_version after opset changes
+        # By default, it uses since_version as opset_version for produced models
+        produce_opset_version = onnx.defs.get_schema(node.op_type, node.domain).since_version
+        kwargs[str("opset_imports")] = [onnx.helper.make_operatorsetid(node.domain, produce_opset_version)]
+
+    model = _make_test_model_gen_version(graph, **kwargs)
 
     _NodeTestCases.append(TestCase(
         name=name,
@@ -197,7 +224,7 @@ def expect(node: onnx.NodeProto,
         model_dir=None,
         model=model,
         data_sets=[(inputs, outputs)],
-        kind='node',
+        kind="node",
         rtol=1e-3,
         atol=1e-7,
     ))
@@ -206,7 +233,7 @@ def expect(node: onnx.NodeProto,
     # E.g. merge(["x", "", "y"], [x-value-info, y-value-info]) will return [x-type, default-type, y-type]
     def merge(node_inputs: List[Text], present_value_info: List[onnx.ValueInfoProto]) -> List[TypeProto]:
         if (node_inputs):
-            if (node_inputs[0] != ''):
+            if (node_inputs[0] != ""):
                 return [present_value_info[0].type] + merge(node_inputs[1:], present_value_info[1:])
             else:
                 return [TypeProto()] + merge(node_inputs[1:], present_value_info)
@@ -214,14 +241,14 @@ def merge(node_inputs: List[Text], present_value_info: List[onnx.ValueInfoProto]
     merged_types = merge(list(node.input), inputs_vi)
     expanded_function_nodes = function_testcase_helper(node, merged_types, name)
     if expanded_function_nodes:
-        function_test_name = name + '_expanded'
+        function_test_name = name + "_expanded"
         graph = onnx.helper.make_graph(
             nodes=expanded_function_nodes,
             name=function_test_name,
             inputs=inputs_vi,
             outputs=outputs_vi)
-        kwargs[str('producer_name')] = 'backend-test'
-        model = onnx.helper.make_model(graph, **kwargs)
+        kwargs[str("producer_name")] = "backend-test"
+        model = _make_test_model_gen_version(graph, **kwargs)
         _NodeTestCases.append(TestCase(
             name=function_test_name,
             model_name=function_test_name,
@@ -229,24 +256,18 @@ def merge(node_inputs: List[Text], present_value_info: List[onnx.ValueInfoProto]
             model_dir=None,
             model=model,
             data_sets=[(inputs, outputs)],
-            kind='node',
+            kind="node",
             rtol=1e-3,
             atol=1e-7,
         ))
 
 
-def collect_testcases() -> List[TestCase]:
-    '''Collect node test cases defined in python/numpy code.
-    '''
-    import_recursive(sys.modules[__name__])
-    return _NodeTestCases
-
-
-def collect_testcases_by_operator(op_type: Text) -> List[TestCase]:
-    '''Collect node test cases which include specific operator
+def collect_testcases(op_type: Text) -> List[TestCase]:
+    '''Collect node test cases
     '''
     # only keep those tests related to this operator
     global _TargetOpType
     _TargetOpType = op_type
+
     import_recursive(sys.modules[__name__])
     return _NodeTestCases
diff --git a/onnx/backend/test/case/node/negativeloglikelihoodloss.py b/onnx/backend/test/case/node/negativeloglikelihoodloss.py
--- a/onnx/backend/test/case/node/negativeloglikelihoodloss.py
+++ b/onnx/backend/test/case/node/negativeloglikelihoodloss.py
@@ -143,7 +143,7 @@ def export_input_shape_is_NCd1d2_reduction_sum() -> None:
         N, C, dim1, dim2 = 3, 5, 6, 6
         np.random.seed(0)
         input = np.random.rand(N, C, dim1, dim2).astype(np.float32)
-        target = np.random.randint(0, high=C, size=(N, dim1, dim2))
+        target = np.random.randint(0, high=C, size=(N, dim1, dim2)).astype(np.int64)
 
         negative_log_likelihood_loss = compute_negative_log_likelihood_loss(input, target, weight=None, reduction=reduction)
 
@@ -463,7 +463,7 @@ def export_input_shape_is_NCd1d2d3_sum_weight_high_ii() -> None:
         N, C = 3, 5
         np.random.seed(0)
         input = np.random.rand(N, C).astype(np.float32)
-        target = np.random.randint(0, high=C, size=(N))
+        target = np.random.randint(0, high=C, size=(N)).astype(np.int64)
         target[0] = 10
         weight = np.random.rand(C).astype(np.float32)
 
diff --git a/onnx/backend/test/cmd_tools.py b/onnx/backend/test/cmd_tools.py
--- a/onnx/backend/test/cmd_tools.py
+++ b/onnx/backend/test/cmd_tools.py
@@ -23,12 +23,10 @@ def prepare_dir(path: Text) -> None:
         os.makedirs(path)
 
     cases = model_test.collect_testcases()
-    if args.op_type is None:
-        # include all of the testcases
-        cases += node_test.collect_testcases()
-    else:
-        # only include those testcases including the given operator
-        cases += node_test.collect_testcases_by_operator(args.op_type)
+    # If op_type is specified, only include those testcases including the given operator
+    # Otherwise, include all of the testcases
+    cases += node_test.collect_testcases(args.op_type)
+
     for case in cases:
         output_dir = os.path.join(
             args.output, case.kind, case.name)
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diff --git a/onnx/backend/test/data/node/test_asin/test_data_set_0/output_0.pb b/onnx/backend/test/data/node/test_asin/test_data_set_0/output_0.pb
--- a/onnx/backend/test/data/node/test_asin/test_data_set_0/output_0.pb
+++ b/onnx/backend/test/data/node/test_asin/test_data_set_0/output_0.pb
@@ -1 +1 @@
-ByJ�ø?OL?(�%?�?���>��3?J��>���?8s�?l{�>��i?�? �?�_�?���=ت�=�<��{?"Hd?��?���?fm?C��>E@e?[��=��1?M>`H�?T�?���>��>Z�b?%��>$�?c�<tm*?�(?3*?��?B@?{H�>]��>k�E?9�v=:�:?p-<?�Y>�c>N�>X��>�S?/x�>L��?)Z�=�yW>��%>�06?�>a�>��|>
\ No newline at end of file
+ByJ�ø?OL?(�%?�?���>��3?J��>���?8s�?l{�>��i?�? �?�_�?���=ت�=�<��{?"Hd?��?���?fm?C��>E@e?[��=��1?M>`H�?T�?���>��>Z�b?%��>$�?c�<tm*?�(?3*?��?B@?{H�>]��>k�E?9�v=:�:?p-<?�Y>�c>N�>X��>�S?/x�>L��?)Z�=�yW>��%>�06?�>a�>��|>
\ No newline at end of file
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diff --git a/onnx/backend/test/data/node/test_atan/test_data_set_0/output_0.pb b/onnx/backend/test/data/node/test_atan/test_data_set_0/output_0.pb
--- a/onnx/backend/test/data/node/test_atan/test_data_set_0/output_0.pb
+++ b/onnx/backend/test/data/node/test_atan/test_data_set_0/output_0.pb
@@ -1 +1 @@
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diff --git a/onnx/backend/test/data/node/test_cos/test_data_set_0/output_0.pb b/onnx/backend/test/data/node/test_cos/test_data_set_0/output_0.pb
--- a/onnx/backend/test/data/node/test_cos/test_data_set_0/output_0.pb
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diff --git a/onnx/backend/test/data/node/test_reduce_log_sum_exp_do_not_keepdims_random/test_data_set_0/output_0.pb b/onnx/backend/test/data/node/test_reduce_log_sum_exp_do_not_keepdims_random/test_data_set_0/output_0.pb
--- a/onnx/backend/test/data/node/test_reduce_log_sum_exp_do_not_keepdims_random/test_data_set_0/output_0.pb
+++ b/onnx/backend/test/data/node/test_reduce_log_sum_exp_do_not_keepdims_random/test_data_set_0/output_0.pb
@@ -1 +1,2 @@
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diff --git a/onnx/backend/test/data/node/test_reduce_log_sum_exp_keepdims_example/model.onnx b/onnx/backend/test/data/node/test_reduce_log_sum_exp_keepdims_example/model.onnx
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diff --git a/onnx/backend/test/data/node/test_reduce_log_sum_exp_keepdims_random/test_data_set_0/output_0.pb b/onnx/backend/test/data/node/test_reduce_log_sum_exp_keepdims_random/test_data_set_0/output_0.pb
--- a/onnx/backend/test/data/node/test_reduce_log_sum_exp_keepdims_random/test_data_set_0/output_0.pb
+++ b/onnx/backend/test/data/node/test_reduce_log_sum_exp_keepdims_random/test_data_set_0/output_0.pb
@@ -1 +1,2 @@
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\ No newline at end of file
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diff --git a/onnx/backend/test/data/node/test_reduce_log_sum_exp_negative_axes_keepdims_example/model.onnx b/onnx/backend/test/data/node/test_reduce_log_sum_exp_negative_axes_keepdims_example/model.onnx
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diff --git a/onnx/backend/test/data/node/test_reduce_log_sum_exp_negative_axes_keepdims_random/test_data_set_0/output_0.pb b/onnx/backend/test/data/node/test_reduce_log_sum_exp_negative_axes_keepdims_random/test_data_set_0/output_0.pb
--- a/onnx/backend/test/data/node/test_reduce_log_sum_exp_negative_axes_keepdims_random/test_data_set_0/output_0.pb
+++ b/onnx/backend/test/data/node/test_reduce_log_sum_exp_negative_axes_keepdims_random/test_data_set_0/output_0.pb
@@ -1 +1,2 @@
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\ No newline at end of file
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+�1�?
\ No newline at end of file
diff --git a/onnx/backend/test/data/node/test_reduce_log_sum_negative_axes/model.onnx b/onnx/backend/test/data/node/test_reduce_log_sum_negative_axes/model.onnx
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--- a/onnx/backend/test/data/node/test_reduce_log_sum_negative_axes/test_data_set_0/output_0.pb
+++ b/onnx/backend/test/data/node/test_reduce_log_sum_negative_axes/test_data_set_0/output_0.pb
@@ -1,2 +1,2 @@
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diff --git a/onnx/backend/test/data/node/test_reduce_max_default_axes_keepdim_example/model.onnx b/onnx/backend/test/data/node/test_reduce_max_default_axes_keepdim_example/model.onnx
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diff --git a/onnx/backend/test/data/node/test_simple_rnn_defaults/test_data_set_0/output_0.pb b/onnx/backend/test/data/node/test_simple_rnn_defaults/test_data_set_0/output_0.pb
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diff --git a/onnx/backend/test/data/node/test_softmax_axis_1_expanded/test_data_set_0/output_0.pb b/onnx/backend/test/data/node/test_softmax_axis_1_expanded/test_data_set_0/output_0.pb
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diff --git a/onnx/backend/test/data/node/test_softmax_example/model.onnx b/onnx/backend/test/data/node/test_softmax_example/model.onnx
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diff --git a/onnx/backend/test/data/node/test_softmax_example/test_data_set_0/output_0.pb b/onnx/backend/test/data/node/test_softmax_example/test_data_set_0/output_0.pb
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diff --git a/onnx/backend/test/data/node/test_softmax_example_expanded/test_data_set_0/output_0.pb b/onnx/backend/test/data/node/test_softmax_example_expanded/test_data_set_0/output_0.pb
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diff --git a/onnx/backend/test/data/node/test_softmax_large_number/test_data_set_0/output_0.pb b/onnx/backend/test/data/node/test_softmax_large_number/test_data_set_0/output_0.pb
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@@ -1 +1 @@
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diff --git a/onnx/backend/test/data/node/test_xor_bcast4v3d/model.onnx b/onnx/backend/test/data/node/test_xor_bcast4v3d/model.onnx
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diff --git a/onnx/backend/test/data/node/test_xor_bcast4v4d/model.onnx b/onnx/backend/test/data/node/test_xor_bcast4v4d/model.onnx
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diff --git a/onnx/backend/test/data/real/test_bvlc_alexnet/data.json b/onnx/backend/test/data/real/test_bvlc_alexnet/data.json
--- a/onnx/backend/test/data/real/test_bvlc_alexnet/data.json
+++ b/onnx/backend/test/data/real/test_bvlc_alexnet/data.json
@@ -1 +1 @@
-{"atol": 1e-07, "model_name": "bvlc_alexnet", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_9/bvlc_alexnet.tar.gz"}
\ No newline at end of file
+{"atol": 1e-07, "model_name": "bvlc_alexnet", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_10/bvlc_alexnet.tar.gz"}
\ No newline at end of file
diff --git a/onnx/backend/test/data/real/test_densenet121/data.json b/onnx/backend/test/data/real/test_densenet121/data.json
--- a/onnx/backend/test/data/real/test_densenet121/data.json
+++ b/onnx/backend/test/data/real/test_densenet121/data.json
@@ -1 +1 @@
-{"atol": 1e-07, "model_name": "densenet121", "rtol": 0.002, "url": "https://s3.amazonaws.com/download.onnx/models/opset_9/densenet121.tar.gz"}
\ No newline at end of file
+{"atol": 1e-07, "model_name": "densenet121", "rtol": 0.002, "url": "https://s3.amazonaws.com/download.onnx/models/opset_10/densenet121.tar.gz"}
\ No newline at end of file
diff --git a/onnx/backend/test/data/real/test_inception_v1/data.json b/onnx/backend/test/data/real/test_inception_v1/data.json
--- a/onnx/backend/test/data/real/test_inception_v1/data.json
+++ b/onnx/backend/test/data/real/test_inception_v1/data.json
@@ -1 +1 @@
-{"atol": 1e-07, "model_name": "inception_v1", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_9/inception_v1.tar.gz"}
\ No newline at end of file
+{"atol": 1e-07, "model_name": "inception_v1", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_10/inception_v1.tar.gz"}
\ No newline at end of file
diff --git a/onnx/backend/test/data/real/test_inception_v2/data.json b/onnx/backend/test/data/real/test_inception_v2/data.json
--- a/onnx/backend/test/data/real/test_inception_v2/data.json
+++ b/onnx/backend/test/data/real/test_inception_v2/data.json
@@ -1 +1 @@
-{"atol": 1e-07, "model_name": "inception_v2", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_9/inception_v2.tar.gz"}
\ No newline at end of file
+{"atol": 1e-07, "model_name": "inception_v2", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_10/inception_v2.tar.gz"}
\ No newline at end of file
diff --git a/onnx/backend/test/data/real/test_resnet50/data.json b/onnx/backend/test/data/real/test_resnet50/data.json
--- a/onnx/backend/test/data/real/test_resnet50/data.json
+++ b/onnx/backend/test/data/real/test_resnet50/data.json
@@ -1 +1 @@
-{"atol": 1e-07, "model_name": "resnet50", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_9/resnet50.tar.gz"}
\ No newline at end of file
+{"atol": 1e-07, "model_name": "resnet50", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_10/resnet50.tar.gz"}
\ No newline at end of file
diff --git a/onnx/backend/test/data/real/test_shufflenet/data.json b/onnx/backend/test/data/real/test_shufflenet/data.json
--- a/onnx/backend/test/data/real/test_shufflenet/data.json
+++ b/onnx/backend/test/data/real/test_shufflenet/data.json
@@ -1 +1 @@
-{"atol": 1e-07, "model_name": "shufflenet", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_9/shufflenet.tar.gz"}
\ No newline at end of file
+{"atol": 1e-07, "model_name": "shufflenet", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_10/shufflenet.tar.gz"}
\ No newline at end of file
diff --git a/onnx/backend/test/data/real/test_squeezenet/data.json b/onnx/backend/test/data/real/test_squeezenet/data.json
--- a/onnx/backend/test/data/real/test_squeezenet/data.json
+++ b/onnx/backend/test/data/real/test_squeezenet/data.json
@@ -1 +1 @@
-{"atol": 1e-07, "model_name": "squeezenet", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_9/squeezenet.tar.gz"}
\ No newline at end of file
+{"atol": 1e-07, "model_name": "squeezenet", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_10/squeezenet.tar.gz"}
\ No newline at end of file
diff --git a/onnx/backend/test/data/real/test_vgg19/data.json b/onnx/backend/test/data/real/test_vgg19/data.json
--- a/onnx/backend/test/data/real/test_vgg19/data.json
+++ b/onnx/backend/test/data/real/test_vgg19/data.json
@@ -1 +1 @@
-{"atol": 1e-07, "model_name": "vgg19", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_9/vgg19.tar.gz"}
\ No newline at end of file
+{"atol": 1e-07, "model_name": "vgg19", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_10/vgg19.tar.gz"}
\ No newline at end of file
diff --git a/onnx/backend/test/data/real/test_zfnet512/data.json b/onnx/backend/test/data/real/test_zfnet512/data.json
--- a/onnx/backend/test/data/real/test_zfnet512/data.json
+++ b/onnx/backend/test/data/real/test_zfnet512/data.json
@@ -1 +1 @@
-{"atol": 1e-07, "model_name": "zfnet512", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_9/zfnet512.tar.gz"}
\ No newline at end of file
+{"atol": 1e-07, "model_name": "zfnet512", "rtol": 0.001, "url": "https://s3.amazonaws.com/download.onnx/models/opset_10/zfnet512.tar.gz"}
\ No newline at end of file
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