Zha0q1 commented on a change in pull request #20226:
URL: https://github.com/apache/incubator-mxnet/pull/20226#discussion_r622593037
##########
File path: tests/python-pytest/onnx/test_operators.py
##########
@@ -1260,8 +1262,11 @@ def test_onnx_export_RNN(tmp_path, mode, dtype,
state_size, input_size, num_laye
if mode == 'lstm':
cell = mx.nd.random.uniform(-1, 1, [num_layers, batch_size,
state_size], dtype=dtype)
op_export_test('rnn', M, [x, param, state, cell], tmp_path)
+ elif mode == 'rnn_relu':
+ # set large atol as relu can outputs big numbers
+ op_export_test('rnn', M, [x, param, state], tmp_path, atol=1e20)
else:
- op_export_test('rnn', M, [x, param, state], tmp_path)
+ op_export_test('rnn', M, [x, param, state], tmp_path, atol=1e-2)
Review comment:
Do we know how large was the difference?
##########
File path: tests/python-pytest/onnx/test_operators.py
##########
@@ -1234,21 +1235,22 @@ def test_onnx_export_sequence_reverse(tmp_path, dtype,
params):
# onnx LSTM from opset 11 does not support float64
[email protected]('mode', ['lstm', 'gru'])
[email protected]('mode', ['lstm', 'gru', 'rnn_tanh', 'rnn_relu'])
@pytest.mark.parametrize('dtype', ['float32'])
[email protected]('state_size', [16, 32])
[email protected]('state_size', [16, 32, 64])
@pytest.mark.parametrize('input_size', [16, 32, 64])
@pytest.mark.parametrize('num_layers', [1, 2])
@pytest.mark.parametrize('batch_size', [1, 2, 4])
[email protected]('seq_length', [16, 32])
Review comment:
why removing 32?
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