dd07a4c41efed22afb5780cd584555cbff141c74,keras/engine/training_arrays.py,,predict_loop,#Any#Any#Any#Any#Any#Any#,227

Before Change

        unconcatenated_outs = []
        for step in range(steps):
            batch_outs = f(ins)
            if not isinstance(batch_outs, list):
                batch_outs = [batch_outs]
            if step == 0:
                for batch_out in batch_outs:
                    unconcatenated_outs.append([])
            for i, batch_out in enumerate(batch_outs):

After Change

        // and concatenate them upon returning.
        unconcatenated_outs = []
        for step in range(steps):
            batch_outs = f(ins)
            batch_outs = to_list(batch_outs)
            if step == 0:
                for batch_out in batch_outs:
                    unconcatenated_outs.append([])
            for i, batch_out in enumerate(batch_outs):

Instances