cc4a397586c6dc8c2de95773572bf3ab318a8371,texar/core/layers.py,,get_rnn_cell,#,127

Before Change

                vr_kwargs = {"variational_recurrent": True,
                             "input_size": d_hp["input_size"][layer_i],
                             "dtype": tf.float32}
            cell = rnn.DropoutWrapper(
                cell=cell,
                input_keep_prob=utils.switch_dropout(d_hp["input_keep_prob"]),
                output_keep_prob=utils.switch_dropout(d_hp["output_keep_prob"]),
                state_keep_prob=utils.switch_dropout(d_hp["state_keep_prob"]),
                **vr_kwargs)

        // Optionally add residual and highway connections
        if layer_i > 0:
            if hparams["residual"]:
                cell = rnn.ResidualWrapper(cell)
            if hparams["highway"]:
                cell = rnn.HighwayWrapper(cell)

        cells.append(cell)

After Change

                                                   mode)
            output_keep_prob = utils.switch_dropout(d_hp["output_keep_prob"],
                                                    mode)
            state_keep_prob = utils.switch_dropout(d_hp["state_keep_prob"],
                                                   mode)
            cell = rnn.DropoutWrapper(
                cell=cell,
                input_keep_prob=input_keep_prob,
                output_keep_prob=output_keep_prob,
                state_keep_prob=state_keep_prob,
                **vr_kwargs)

        // Optionally add residual and highway connections
        if layer_i > 0:
            if hparams["residual"]:
                cell = rnn.ResidualWrapper(cell)
            if hparams["highway"]:
                cell = rnn.HighwayWrapper(cell)

        cells.append(cell)

Instances