apivovarov commented on a change in pull request #9303:
URL: https://github.com/apache/tvm/pull/9303#discussion_r731380430
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File path: tests/python/frontend/keras/test_forward.py
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@@ -417,12 +417,20 @@ def test_forward_reuse_layers(self, keras):
keras_model = keras.models.Model(data, z)
verify_keras_frontend(keras_model)
+ def test_forward_lstm(self, keras):
+ data = keras.layers.Input(shape=(10, 32))
+ rnn_funcs = [
+ keras.layers.LSTM(16),
+ keras.layers.LSTM(16, return_sequences=True),
+ ]
+ for rnn_func in rnn_funcs:
+ x = rnn_func(data)
+ keras_model = keras.models.Model(data, x)
+ verify_keras_frontend(keras_model, need_transpose=False)
+
def test_forward_rnn(self, keras):
data = keras.layers.Input(shape=(1, 32))
rnn_funcs = [
- keras.layers.LSTM(
Review comment:
ok, I returned LSTM test back to test_forward_rnn. Lets also test both
LSTMs (with and without return_sequence flag) in `test_forward_lstm`. New test
`test_forward_lstm` uses more realistic input with shape `(10, 32)` instead of
`(1, 32)`. Using one word for LSTM input does not test the Recursion logic
inside LSTM impl.
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