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attentional sequence-to-sequence model (based on LSTMs) in TFLite Micro, tested on Arduino Nano 33 BLE

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Probably, colab is no more using the same version of numpy you used before, when executing `encoder_lstm_layer(encoder_embeddings)` the following error come out : `Cannot convert a symbolic Tensor (bidirectional_2/forward_rnn_4/strided_slice:0) to...

hi there, i wonder how can you use rnn in your tflite micro model? did you do some modify to the lib?