Segmentation fault in eddl.forward() with a LSTM layer about eddl HOT 3 CLOSED

Hi,

You are not using the API correctly in this example. The LSTM accepts a vector of parent layers in the first argument, this vector can be of length one if you are providing the input data only, or it can be of length two if you provide the input data and a States layer. In this example, you are trying to pass three inputs ([word_emb, context, states_input]), which is not supported.

from eddl.

Thank you! Problem solved...

word_emb = eddl.ReduceArgMax(word_in, [0])
word_emb = eddl.RandomUniform(eddl.Embedding(word_emb, vs, 1, emb_size, mask_zeros=True, name="word_embeddings"), -0.05, +0.05)

to_lstm = eddl.Concat([word_emb, context])  # <------------ new line

lstm = eddl.LSTM([to_lstm, states_input], lstm_size, mask_zeros=True, bidirectional=False, name="lstm")
lstm.isrecurrent = False

from eddl.

Perfect!

from eddl.