[GitHub] [incubator-mxnet] Zha0q1 commented on a change in pull request #19691: [WIP] ONNX fix softmax

[GitBox <gi...@apache.org>]

Zha0q1 commented on a change in pull request #19691:
URL: https://github.com/apache/incubator-mxnet/pull/19691#discussion_r545405721



##########
File path: tests/python-pytest/onnx/test_operators.py
##########
@@ -205,3 +206,15 @@ def test_onnx_export_fully_connected(tmp_path, dtype, num_hidden, no_bias, flatt
     if not no_bias:
         args.append(mx.nd.random.uniform(0,1,(num_hidden,)))
     op_export_test('FullyConnected', M, args, tmp_path)
+
+@pytest.mark.parametrize('dtype', ['float32', 'float64'])
+def test_onnx_export_softmax(tmp_path, dtype):
+    x = mx.nd.random.uniform(0, 1, (2, 3, 4), dtype=dtype)
+    M1 = def_model('softmax')
+    op_export_test('softmax_1', M1, [x], tmp_path)
+    M2 = def_model('softmax', use_length=True, axis=0)
+    l2 = mx.nd.array([[2,0,3,1],[1,3,2,0], [0,0,0,1]], dtype=int)

Review comment:
       Shall we also use randomized inputs here?




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