Zha0q1 commented on a change in pull request #19691:
URL: https://github.com/apache/incubator-mxnet/pull/19691#discussion_r545405721
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File path: tests/python-pytest/onnx/test_operators.py
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@@ -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)
+
[email protected]('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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