anirudhacharya commented on a change in pull request #9963: [MXNET-34] Onnx 
Module to import onnx models into mxnet
URL: https://github.com/apache/incubator-mxnet/pull/9963#discussion_r174318632
 
 

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 File path: python/mxnet/contrib/onnx/_import/import_helper.py
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 @@ -0,0 +1,105 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you 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.
+
+# coding: utf-8
+# pylint: disable=invalid-name
+"""Operator attributes conversion"""
+from .op_translations import identity, random_uniform, random_normal
+from .op_translations import add, subtract, multiply, divide, absolute, 
negative, add_n
+from .op_translations import tanh
+from .op_translations import ceil, floor
+from .op_translations import concat
+from .op_translations import leaky_relu, _elu, _prelu, softmax, fully_connected
+from .op_translations import global_avgpooling, global_maxpooling, linalg_gemm
+from .op_translations import sigmoid, pad, relu, matrix_multiplication, 
batch_norm
+from .op_translations import dropout, local_response_norm, conv, deconv
+from .op_translations import reshape, cast, split, _slice, transpose, squeeze
+from .op_translations import reciprocal, squareroot, power, exponent, _log
+from .op_translations import reduce_max, reduce_mean, reduce_min, reduce_sum
+from .op_translations import reduce_prod, avg_pooling, max_pooling
+from .op_translations import argmax, argmin, maximum, minimum
+
+# convert_map defines maps of ONNX operator names to converter 
functor(callable)
 
 Review comment:
   its a typo in the comment. I will fix it.

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