!1300 add reduce_sum mapper

From: @shenghong96
Reviewed-by: @yelihua,@lilongfei15
Signed-off-by: @lilongfei15

mindinsight/mindconverter/graph_based_converter/mapper/impl/nn/batch_norm_mapper.py

@@ -15,13 +15,22 @@
 """Mapper module."""
 from mindinsight.mindconverter.graph_based_converter.mapper.base import ONNXToMindSporeMapper
 
+# The segmentation of BatchNorm's dim attribute.
+DIM_SEGMENT = 2
+
 
 class BatchNormMapper(ONNXToMindSporeMapper):
     """BatchNorm mapper."""
 
     @staticmethod
     def _operation_name_in_ms(*args, **kwargs):
-        dim = len(kwargs['params']['output_shape']) - 2
+        output_shape = len(kwargs['params']['output_shape'])
+        if output_shape == DIM_SEGMENT:
+            dim = 1
+        elif output_shape > DIM_SEGMENT:
+            dim = len(kwargs['params']['output_shape']) - 2
+        else:
+            return None
         return f"nn.BatchNorm{dim}d"
 
     @staticmethod

mindinsight/mindconverter/graph_based_converter/mapper/impl/ops/reduce_sum_mapper.py

@@ -0,0 +1,76 @@
+# Copyright 2021 Huawei Technologies Co., Ltd.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.
+# ==============================================================================
+"""Mapper module."""
+from mindinsight.mindconverter.graph_based_converter.constant import ExchangeMessageKeywords, TemplateKeywords
+from mindinsight.mindconverter.graph_based_converter.mapper.base import ONNXToMindSporeMapper
+
+
+class ReduceSumMapper(ONNXToMindSporeMapper):
+    """ReduceSum mapper."""
+
+    @staticmethod
+    def _operation_name_in_ms(*args, **kwargs):
+        return "P.ReduceSum"
+
+    @staticmethod
+    def _convert_params(**kwargs):
+        params = kwargs['params']
+        keep_dims = not params.get('keepdims', 1) == 0
+        return {'keep_dims': keep_dims}
+
+    @staticmethod
+    def _convert_trained_weights(**kwargs):
+        return dict()
+
+    @staticmethod
+    def _generate_snippet_template(**kwargs):
+        op = kwargs.get("operation")
+        args = kwargs.get("converted_params")
+        raw_params = kwargs.get("raw_params")
+        if raw_params.get('axes'):
+            axis = raw_params['axes'][0] if len(raw_params['axes']) == 1 else tuple(raw_params['axes'])
+        else:
+            axis = tuple()
+        variable_slot = "var_0"
+        init_template = f"self.{{{variable_slot}}} = {op}({', '.join(['%s={%s}' % (p, p) for p in args])})"
+
+        args["axis"] = axis
+        init_tensor = f"self.{{{variable_slot}}}_axis = {{axis}}"
+
+        construct_template = f"opt_{{{variable_slot}}} = self.{{{variable_slot}}}" \
+                             f"({{{ExchangeMessageKeywords.VariableScope.value.INPUTS.value}}}, " \
+                             f"self.{{{variable_slot}}}_axis)"
+
+        template = {
+            variable_slot: {
+                TemplateKeywords.INIT.value: [init_template, init_tensor],
+                TemplateKeywords.CONSTRUCT.value: [construct_template]
+            }
+        }
+        exchange_msg = {
+            variable_slot: {
+                ExchangeMessageKeywords.VariableScope.value.OPERATION.value: op,
+                ExchangeMessageKeywords.VariableScope.value.VARIABLE_NAME.value: None,
+                ExchangeMessageKeywords.VariableScope.value.OUTPUT_TYPE.value:
+                    ExchangeMessageKeywords.VariableScope.value.TSR_TYPE.value,
+                ExchangeMessageKeywords.VariableScope.value.INPUTS.value: [],
+                ExchangeMessageKeywords.VariableScope.value.ARGS.value: args,
+                ExchangeMessageKeywords.VariableScope.value.WEIGHTS.value: [],
+                ExchangeMessageKeywords.VariableScope.value.TRAINABLE_PARAMS.value: {}
+            }
+        }
+        outputs_list = [f"opt_{{{variable_slot}}}"]
+        outputs_mapping = ((0, 0),)
+        return template, exchange_msg, outputs_list, outputs_mapping

mindinsight/mindconverter/graph_based_converter/mapper/onnx_to_ms.json

@@ -40,5 +40,6 @@
   "onnx::Floor": "mindinsight.mindconverter.graph_based_converter.mapper.impl.ops.floor_mapper.FloorMapper",
   "onnx::CumSum": "mindinsight.mindconverter.graph_based_converter.mapper.impl.ops.cumsum_mapper.CumSumMapper",
   "onnx::Sin": "mindinsight.mindconverter.graph_based_converter.mapper.impl.ops.sin_mapper.SinMapper",
-  "onnx::Cos": "mindinsight.mindconverter.graph_based_converter.mapper.impl.ops.cos_mapper.CosMapper"
+  "onnx::Cos": "mindinsight.mindconverter.graph_based_converter.mapper.impl.ops.cos_mapper.CosMapper",
+  "onnx::ReduceSum": "mindinsight.mindconverter.graph_based_converter.mapper.impl.ops.reduce_sum_mapper.ReduceSumMapper"
 }