zhreshold commented on a change in pull request #12653: ONNX export: Square and
ReduceSum operators
URL: https://github.com/apache/incubator-mxnet/pull/12653#discussion_r223536997
##########
File path: python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
##########
@@ -2077,3 +2077,82 @@ def convert_sqrt(node, **kwargs):
name=name,
)
return [node]
+
+@mx_op.register("square")
+def convert_square(node, **kwargs):
+ """Map MXNet's square operator attributes to onnx's Pow operator
+ and return the created node.
+ """
+ onnx = import_onnx_modules()
+ name = node["name"]
+ proc_nodes = kwargs["proc_nodes"]
+ inputs = node["inputs"]
+
+ input_node_a_id = kwargs["index_lookup"][inputs[0][0]]
+
+ input_node_a = proc_nodes[input_node_a_id].name
+
+ initializer = kwargs["initializer"]
+ power2 = [2]
+ np_arr = np.array(power2)
+ data_type = onnx.mapping.NP_TYPE_TO_TENSOR_TYPE[np_arr.dtype]
+ dims = np.shape(np_arr)
+
+ power2_name = "square_tensor" + str(kwargs["idx"])
+
+ initializer.append(
+ onnx.helper.make_tensor(
+ name=power2_name,
+ data_type=data_type,
+ dims=dims,
+ vals=power2,
+ raw=False,
+ )
+ )
+
+ node = onnx.helper.make_node(
+ "Pow",
+ [input_node_a, power2_name],
+ [name],
+ name=None
+ )
+ return [node]
+
+@mx_op.register("sum")
+def convert_sum(node, **kwargs):
+ """Map MXNet's sum operator attributes to onnx's ReduceSum operator
+ and return the created node.
+ """
+ onnx = import_onnx_modules()
+ name = node["name"]
+ proc_nodes = kwargs["proc_nodes"]
+ inputs = node["inputs"]
+ attrs = node["attrs"]
+
+ mx_axis = attrs.get("axis", None)
+ axes = convert_string_to_list(str(mx_axis)) if mx_axis is not None else
None
+
+ keepdims = attrs.get("keepdims", 0)
+ keepdims = 1 if keepdims in ["True", "1"] else 0
Review comment:
should reuse the function in #12646
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