Add isinf

tests/onnx/test_auto_scan_isinf.py

@@ -0,0 +1,57 @@
+# Copyright (c) 2022  PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from auto_scan_test import OPConvertAutoScanTest
+from hypothesis import reproduce_failure
+import hypothesis.strategies as st
+import numpy as np
+import unittest
+import random
+
+
+class TestIsInfConvert(OPConvertAutoScanTest):
+    """
+    ONNX op: IsInf
+    OPset version: 10~15
+    """
+
+    def sample_convert_config(self, draw):
+        input_shape = draw(
+            st.lists(
+                st.integers(
+                    min_value=20, max_value=30), min_size=3, max_size=5))
+        input_dtype = draw(st.sampled_from(["float32"]))
+        config = {
+            "op_names": ["IsInf"],
+            "test_data_shapes": [input_shape],
+            "test_data_types": [input_dtype],
+            "inputs_shape": [input_shape],
+            "min_opset_version": 10,
+            "max_opset_version": 15,
+            "inputs_name": ["x"],
+            "outputs_name": ["y"],
+            "delta": 1e-4,
+            "rtol": 1e-4,
+            "run_dynamic": True,
+        }
+
+        attrs = {}
+        return (config, attrs)
+
+    def test(self):
+        self.run_and_statis(max_examples=50)
+
+
+if __name__ == "__main__":
+    unittest.main()

x2paddle/op_mapper/onnx2paddle/opset10.py

@@ -112,3 +112,17 @@ def Mod(self, node):
             inputs={"x": val_x.name,
                     "y": val_y.name},
             outputs=[node.name])
+
+    @print_mapping_info
+    def IsInf(self, node):
+        val_x = self.graph.get_input_node(node, idx=0, copy=True)
+        if node.get_attr('detect_negative') != None or node.get_attr(
+                'detect_positive') != None:
+            if node.get_attr('detect_negative') != 1 or node.get_attr(
+                    'detect_positive') != 1:
+                raise Exception(
+                    "x2addle does not currently support IsINF with attributes 'detect_negative' and 'detect_positive'."
+                )
+        else:
+            self.paddle_graph.add_layer(
+                'paddle.isinf', inputs={"x": val_x.name}, outputs=[node.name])