e24625095a33a5c9a2d016018203938e9bb2ccbf,keras/backend/cntk_backend.py,,rnn,#Any#Any#Any#Any#Any#Any#Any#Any#,1308

Before Change

                                  "variable-length sequences. Please specify a "
                                  "static length for your sequences.")

    if need_convert:
        if go_backwards:
            inputs = reverse(inputs, 1)

        inputs = C.to_sequence(inputs)

        j = 0
        while j < len(constants):
            if isinstance(constants[j], list):
                i = 0
                while i < len(constants[j]):
                    if _get_dynamic_axis_num(constants[j][i]) == 1:
                        constants[j][i] = C.sequence.broadcast_as(constants[j][i], inputs)
                    i += 1
            else:
                if _get_dynamic_axis_num(constants[j]) == 1:
                    constants[j] = C.sequence.broadcast_as(constants[j], inputs)
            j += 1

    if mask is not None and not has_seq_axis(mask):
        if go_backwards:
            mask = reverse(mask, 1)
        if len(int_shape(mask)) == 2:

After Change

        rnn_inputs = C.to_sequence(rnn_inputs)

        rnn_constants = []
        for constant in constants:
            if isinstance(constant, list):
                new_c = []
                for c in constant:
                    if _get_dynamic_axis_num(c) == 1:
                        new_c.append(C.sequence.broadcast_as(c, rnn_inputs))
                    else:
                        new_c.append(c)
                rnn_constants.append(new_c)
            else:
                if _get_dynamic_axis_num(constant) == 1:
                    rnn_constants.append(C.sequence.broadcast_as(constant, rnn_inputs))
                else:
                    rnn_constants.append(constant)
    else:
        rnn_constants = constants

    if mask is not None and not has_seq_axis(mask):

Instances