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in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git


The following commit(s) were added to refs/heads/master by this push:
     new 1fcc7ea  use new mxnet.gluon.block APIs (#18601)
1fcc7ea is described below

commit 1fcc7ea8b8f5dfebd3f5440ffe9e0c7d4b13b90f
Author: RuRo <andrey.stots...@tevian.ru>
AuthorDate: Wed Jun 24 12:03:20 2020 +0300

    use new mxnet.gluon.block APIs (#18601)
---
 tests/python/unittest/onnx/test_node.py | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/tests/python/unittest/onnx/test_node.py 
b/tests/python/unittest/onnx/test_node.py
index 00e557c..351ac5e 100644
--- a/tests/python/unittest/onnx/test_node.py
+++ b/tests/python/unittest/onnx/test_node.py
@@ -123,7 +123,7 @@ class TestNode(unittest.TestCase):
                 mx_op = mx_op(**attrs)
                 mx_op.initialize()
                 mx_op(mx.nd.zeros(input_shape))
-                params = {k: v.data() for k, v in 
mx_op.collect_params().items()}
+                params = {p.name: p.data() for p in 
mx_op.collect_params().values()}
                 outsym = mx_op(input_sym)
             else:
                 params = {}
@@ -203,10 +203,9 @@ export_test_cases = [
     ("test_expand", "Expand", mx.sym.broadcast_to, (2,1,3,1), {'shape': 
(2,1,3,1)}),
     ("test_tile", "Tile", mx.sym.tile, (2,1,3,1), {'reps': (2,3)}),
     ("test_topk", "TopK", mx.sym.topk, (2, 10, 2), {'k': 3, 'axis': 1, 
'ret_typ': 'both', 'dtype': np.int64}),
-    ("test_slice_axis", "Slice", mx.sym.slice_axis, (2, 10, 2), {'begin': 3, 
'end': 7, 'axis': 1})
-    # https://github.com/apache/incubator-mxnet/issues/18596
-    # ("test_LSTM", "LSTM", mx.gluon.rnn.LSTM, (3,1,2), {'hidden_size': 3}),
-    # ("test_BiLSTM", "LSTM", mx.gluon.rnn.LSTM, (3,1,2), {'hidden_size': 3, 
'bidirectional': True}),
+    ("test_slice_axis", "Slice", mx.sym.slice_axis, (2, 10, 2), {'begin': 3, 
'end': 7, 'axis': 1}),
+    ("test_LSTM", "LSTM", mx.gluon.rnn.LSTM, (3,1,2), {'hidden_size': 3}),
+    ("test_BiLSTM", "LSTM", mx.gluon.rnn.LSTM, (3,1,2), {'hidden_size': 3, 
'bidirectional': True}),
 ]
 
 if __name__ == '__main__':

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