thomelane commented on issue #12844: ERROR parameter summary of lstm layer URL: https://github.com/apache/incubator-mxnet/issues/12844#issuecomment-430790890 Hi @soeque1, You can now use `model.summary()` to get the summary. ``` import mxnet as mx import numpy as np model = mx.gluon.nn.HybridSequential() with model.name_scope(): model.add(mx.gluon.nn.Embedding(30, 10)) model.add(mx.gluon.rnn.LSTM(20)) model.add(mx.gluon.nn.Dense(5, flatten=False)) model.initialize() data = np.random.randint(low=0, high=30, size=(2,3)) data = mx.nd.array(data) model.summary(data) ``` @lanking520 what version of MXNet are you using? LSTMs weren't hybridizable before v1.3.
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