szha commented on a change in pull request #9977: Cpu lstm inference
URL: https://github.com/apache/incubator-mxnet/pull/9977#discussion_r173524502
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File path: tests/python/unittest/test_gluon_rnn.py
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@@ -67,6 +67,22 @@ def test_lstm_forget_bias():
forget_bias * np.ones(100, ), np.zeros((2 *
100,))])
assert_allclose(mod.get_params()[0][bias_argument].asnumpy(),
expected_bias)
+def test_lstm_cpu_inference():
+ # should behave the same as lstm cell
+ atol = 1e-6
+ x = mx.nd.ones(shape=(2, 2, 2))
+ model = mx.gluon.nn.Sequential()
+ with model.name_scope():
+ model.add(mx.gluon.rnn.LSTM(2, num_layers=6, bidirectional=True))
+ model.initialize(mx.init.One())
Review comment:
Under the current input and weight, your test would still pass even if the
weights are iterated backwards. Unfortunately it's not in an acceptable state.
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