t-almeida / tensorflow-keras-multidimensional-rnn Goto Github PK

Test in a more methodical way the multidimensional gates, if possible try to reproduce some published results.

hello I'm trying to use MDLSTM with the ctc+crnn function but without success it causes an error by the loss ctc.

def ctc_func(args):
    y_pred, labels, input_length, label_length = args
    y_pred = y_pred[:, 2:, :]
    return K.ctc_batch_cost(labels, y_pred, input_length, label_length)

the error is:
ValueError: Index out of range using input dim 2; input has only 2 dims for 'ctc/strided_slice' (op: 'StridedSlice') with input shapes: [?,37], [3], [3], [3] and with computed input tensors: input[3] = <1 1 1>.

I use this example on the notebook to start for this layer

Have you any suggestion?

Thank you for the work done for this project. I noticed a problem with inserting input_shape in a functional model with keras. Do you have any solution?

    gru_1 = MultiDimensionalRNN(MultiDimensinalGRUCell(4, activation='tanh'),input_shape(5,5,1))(inner)
TypeError: 'tuple' object is not callable