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From GitBox <...@apache.org>
Subject [GitHub] [incubator-singa] moazreyad commented on a change in pull request #504: SINGA-481 Reconsturct soonx
Date Tue, 20 Aug 2019 14:47:58 GMT
moazreyad commented on a change in pull request #504: SINGA-481 Reconsturct soonx
URL: https://github.com/apache/incubator-singa/pull/504#discussion_r315733324
 
 

 ##########
 File path: test/python/test_onnx.py
 ##########
 @@ -0,0 +1,202 @@
+# 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.
+# =============================================================================
+
+import unittest
+from builtins import str
+
+from singa import tensor
+from singa import singa_wrap as singa
+from singa import autograd
+from singa import sonnx
+
+import onnx
+from onnx import (defs, checker, helper, numpy_helper, mapping,
+                  ModelProto, GraphProto, NodeProto, AttributeProto, TensorProto, OperatorSetIdProto)
+from onnx.helper import make_tensor, make_tensor_value_info, make_node, make_graph
+
+from cuda_helper import gpu_dev, cpu_dev
+
+import numpy as np
+
+autograd.training = True
+
+
+class TestPythonOnnxFrontend(unittest.TestCase):
+
 
 Review comment:
   > Also, I'm a little worrying about the autograd we implemented might have some problems
so that it cannot pass the backend test cases. It will cost more time to fix it up...
   
   It can be useful to write the current problems that prevents standard ONNX backend tests
from passing. Then we can discuss the alternative solutions to them. 
   
   Because if there is a module such as autograd or any other part of the project that must
be updated to enable ONNX support, may be it is better to discover this issue as early as
possible before proceeding too much with an architecture or an implementation that must be
changed soon. 

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