Support 7-15 ONNX opset version (#838)

* support 7-15 opset version

* re-lint

* re-lint

x2paddle/op_mapper/onnx2paddle/onnx_op_mapper.py

-# Copyright (c) 2019  PaddlePaddle Authors. All Rights Reserved.
+# 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.
@@ -13,14 +13,22 @@
 # limitations under the License.
 
 import sys
-from x2paddle.op_mapper.onnx2paddle.opset9 import OpSet9
+from .opset7 import OpSet7
+from .opset8 import OpSet8
+from .opset9 import OpSet9
+from .opset10 import OpSet10
+from .opset11 import OpSet11
+from .opset12 import OpSet12
+from .opset13 import OpSet13
+from .opset14 import OpSet14
+from .opset15 import OpSet15
 from x2paddle.decoder.onnx_decoder import ONNXGraphNode
 from x2paddle.core.program import PaddleGraph
 
 
 class ONNXOpMapper():
     def __init__(self, decoder):
-        self.support_op_sets = [9, ]
+        self.support_op_sets = [7, 8, 9, 10, 11, 12, 13, 14, 15]
         self.default_op_set = 9
         self.graph = decoder.graph
         self.paddle_graph = PaddleGraph(parent_layer=None, source_type="onnx")
@@ -84,8 +92,7 @@ class ONNXOpMapper():
                 else:
                     break
             opset = 'OpSet' + str(run_op_set)
-        print(
-            'Now, onnx2paddle support convert onnx model opset_verison {},'
-            'opset_verison of your onnx model is {}, automatically treated as op_set: {}.'
-            .format(self.support_op_sets, decoder.op_set, run_op_set))
+        print('Now, onnx2paddle support convert onnx model opset_verison {}, '
+              'opset_verison of your onnx model is {}.'
+              .format(self.support_op_sets, decoder.op_set))
         return eval(opset)(decoder, self.paddle_graph)

x2paddle/op_mapper/onnx2paddle/opset10.py

+# 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 .opset_legacy import OpSet
+
+
+class OpSet10(OpSet):
+    def __init__(self, decoder, paddle_graph):
+        super(OpSet10, self).__init__(decoder, paddle_graph)

x2paddle/op_mapper/onnx2paddle/opset11.py

+# 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 .opset_legacy import OpSet
+
+
+class OpSet11(OpSet):
+    def __init__(self, decoder, paddle_graph):
+        super(OpSet11, self).__init__(decoder, paddle_graph)

x2paddle/op_mapper/onnx2paddle/opset12.py

+# 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 .opset_legacy import OpSet
+
+
+class OpSet12(OpSet):
+    def __init__(self, decoder, paddle_graph):
+        super(OpSet12, self).__init__(decoder, paddle_graph)

x2paddle/op_mapper/onnx2paddle/opset13.py

+# 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 .opset_legacy import OpSet
+
+
+class OpSet13(OpSet):
+    def __init__(self, decoder, paddle_graph):
+        super(OpSet13, self).__init__(decoder, paddle_graph)

x2paddle/op_mapper/onnx2paddle/opset14.py

+# 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 .opset_legacy import OpSet
+
+
+class OpSet14(OpSet):
+    def __init__(self, decoder, paddle_graph):
+        super(OpSet14, self).__init__(decoder, paddle_graph)

x2paddle/op_mapper/onnx2paddle/opset15.py

+# 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 .opset_legacy import OpSet
+
+
+class OpSet15(OpSet):
+    def __init__(self, decoder, paddle_graph):
+        super(OpSet15, self).__init__(decoder, paddle_graph)

x2paddle/op_mapper/onnx2paddle/opset7.py

+# 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 .opset_legacy import OpSet
+
+
+class OpSet7(OpSet):
+    def __init__(self, decoder, paddle_graph):
+        super(OpSet7, self).__init__(decoder, paddle_graph)

x2paddle/op_mapper/onnx2paddle/opset8.py

+# 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 .opset_legacy import OpSet
+
+
+class OpSet8(OpSet):
+    def __init__(self, decoder, paddle_graph):
+        super(OpSet8, self).__init__(decoder, paddle_graph)

x2paddle/op_mapper/onnx2paddle/opset9.py

+# 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 .opset_legacy import OpSet
+
+
+class OpSet9(OpSet):
+    def __init__(self, decoder, paddle_graph):
+        super(OpSet9, self).__init__(decoder, paddle_graph)

x2paddle/op_mapper/onnx2paddle/opset9/__init__.py

-from .opset import OpSet9

x2paddle/op_mapper/onnx2paddle/opset9/opset.py → x2paddle/op_mapper/onnx2paddle/opset_legacy.py

-# Copyright (c) 2019  PaddlePaddle Authors. All Rights Reserved.
+# 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.
@@ -114,74 +114,9 @@ def print_mapping_info(func):
     return run_mapping
 
 
-class OpSet9():
-    elementwise_ops = {
-        'Add': 'paddle.add',
-        'Div': 'paddle.divide',
-        'Sub': 'paddle.subtract',
-        'Mul': 'paddle.multiply',
-        'Pow': 'paddle.pow',
-        'Less': 'paddle.less_than',
-        'LessOrEqual': 'paddle.less_equal',
-    }
-
-    directly_map_ops = {
-        'Ceil': ['paddle.ceil'],
-        # reduce function
-        'ReduceMean': [
-            'paddle.mean', dict(
-                axes='axis', keepdims='keepdim'), dict(
-                    axes=None, keepdims=True)
-        ],
-        'ReduceMin': [
-            'paddle.min', dict(
-                axes='axis', keepdims='keepdim'), dict(
-                    axes=None, keepdim=True)
-        ],
-        'ReduceMax': [
-            'paddle.max', dict(
-                axes='axis', keepdims='keepdim'), dict(
-                    axes=None, keepdim=True)
-        ],
-        'ReduceProd': [
-            'paddle.prod', dict(
-                axes='axis', keepdims='keepdim'), dict(
-                    axes=None, keepdim=True)
-        ],
-        # active function
-        'Relu': ['paddle.nn.ReLU'],
-        'LeakyRelu': [
-            'paddle.nn.LeakyReLU', dict(alpha='negative_slope'),
-            dict(negative_slope=.01)
-        ],
-        'Elu':
-        ['paddle.nn.functional.elu', dict(alpha='alpha'), dict(alpha=1.)],
-        'ThresholdedRelu': [
-            'paddle.nn.functional.thresholded_relu', dict(alpha='threshold'),
-            dict(alpha=1.)
-        ],
-        'Tanh': ['paddle.nn.Tanh'],
-        'Sigmoid': ['paddle.nn.Sigmoid'],
-        'Softsign': ['paddle.nn.Softsign'],
-        'Softplus': [
-            'paddle.nn.Softplus', dict(threshold='threshold'),
-            dict(threshold=float(sys.maxsize))
-        ],
-        'Exp': ['paddle.exp'],
-        'Log': ['paddle.log'],
-        'LogSoftmax':
-        ['paddle.nn.functional.log_softmax', dict(axis='axis'), dict(axis=1)],
-        'Softmax': ['paddle.nn.Softmax', dict(axis='axis'), dict(axis=1)],
-        'Sqrt': ['paddle.sqrt'],
-        'Floor': ['paddle.floor'],
-        'Abs': ['paddle.abs'],
-        'Erf': ['paddle.erf'],
-        'Sin': ['paddle.sin'],
-        'Cos': ['paddle.cos'],
-    }
-
+class OpSet():
     def __init__(self, decoder, paddle_graph):
-        super(OpSet9, self).__init__()
+        super(OpSet, self).__init__()
         self.graph = decoder.graph
         self.paddle_graph = paddle_graph
         self.inputs_info = dict()
@@ -191,6 +126,72 @@ class OpSet9():
         # solve for same data is used as an argument to multiple OPs.
         # PR link(wangjunjie06): https://github.com/PaddlePaddle/X2Paddle/pull/728
         self.rename_mapper = dict()
+        self.elementwise_ops = {
+            'Add': 'paddle.add',
+            'Div': 'paddle.divide',
+            'Sub': 'paddle.subtract',
+            'Mul': 'paddle.multiply',
+            'Pow': 'paddle.pow',
+            'Less': 'paddle.less_than',
+            'LessOrEqual': 'paddle.less_equal',
+        }
+
+        self.directly_map_ops = {
+            'Ceil': ['paddle.ceil'],
+            # reduce function
+            'ReduceMean': [
+                'paddle.mean', dict(
+                    axes='axis', keepdims='keepdim'), dict(
+                        axes=None, keepdims=True)
+            ],
+            'ReduceMin': [
+                'paddle.min', dict(
+                    axes='axis', keepdims='keepdim'), dict(
+                        axes=None, keepdim=True)
+            ],
+            'ReduceMax': [
+                'paddle.max', dict(
+                    axes='axis', keepdims='keepdim'), dict(
+                        axes=None, keepdim=True)
+            ],
+            'ReduceProd': [
+                'paddle.prod', dict(
+                    axes='axis', keepdims='keepdim'), dict(
+                        axes=None, keepdim=True)
+            ],
+            # active function
+            'Relu': ['paddle.nn.ReLU'],
+            'LeakyRelu': [
+                'paddle.nn.LeakyReLU', dict(alpha='negative_slope'),
+                dict(negative_slope=.01)
+            ],
+            'Elu':
+            ['paddle.nn.functional.elu', dict(alpha='alpha'), dict(alpha=1.)],
+            'ThresholdedRelu': [
+                'paddle.nn.functional.thresholded_relu',
+                dict(alpha='threshold'), dict(alpha=1.)
+            ],
+            'Tanh': ['paddle.nn.Tanh'],
+            'Sigmoid': ['paddle.nn.Sigmoid'],
+            'Softsign': ['paddle.nn.Softsign'],
+            'Softplus': [
+                'paddle.nn.Softplus', dict(threshold='threshold'),
+                dict(threshold=float(sys.maxsize))
+            ],
+            'Exp': ['paddle.exp'],
+            'Log': ['paddle.log'],
+            'LogSoftmax': [
+                'paddle.nn.functional.log_softmax', dict(axis='axis'),
+                dict(axis=1)
+            ],
+            'Softmax': ['paddle.nn.Softmax', dict(axis='axis'), dict(axis=1)],
+            'Sqrt': ['paddle.sqrt'],
+            'Floor': ['paddle.floor'],
+            'Abs': ['paddle.abs'],
+            'Erf': ['paddle.erf'],
+            'Sin': ['paddle.sin'],
+            'Cos': ['paddle.cos'],
+        }
 
     @print_mapping_info
     def directly_map(self, node, *args, **kwargs):