block_zoo/BiLSTM.py [24:38]:
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    @DocInherit
    def default(self):
        self.hidden_dim = 128
        self.dropout = 0.0
        self.num_layers = 1

    @DocInherit
    def declare(self):
        self.num_of_inputs = 1
        self.input_ranks = [3]

    @DocInherit
    def inference(self):
        self.output_dim = copy.deepcopy(self.input_dims[0])
        self.output_dim[-1] = 2 * self.hidden_dim
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block_zoo/encoder_decoder/SLUEncoder.py [29:43]:
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    @DocInherit
    def default(self):
        self.hidden_dim = 128
        self.dropout = 0.0
        self.num_layers = 1

    @DocInherit
    def declare(self):
        self.num_of_inputs = 1
        self.input_ranks = [3]

    @DocInherit
    def inference(self):
        self.output_dim = copy.deepcopy(self.input_dims[0])
        self.output_dim[-1] = 2 * self.hidden_dim   #no matter what the num_layers is
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