anirudhacharya commented on a change in pull request #12646: ONNX export: Fully
connected operator w/o bias, ReduceSum, Square
URL: https://github.com/apache/incubator-mxnet/pull/12646#discussion_r224595370
##########
File path: python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
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@@ -2077,3 +2112,79 @@ 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"]
+ np_arr = np.array([2])
+ data_type = onnx.mapping.NP_TYPE_TO_TENSOR_TYPE[np_arr.dtype]
Review comment:
use np.int64 here
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