66dbad816118620303518dc5479bfe23977a2d30,batchflow/models/tf/encoder_decoder.py,EncoderDecoder,encoder,#Any#Any#Any#,196

Before Change

                for i in range(steps):
                    with tf.variable_scope("encoder-"+str(i)):
                        // Preprocess tensor with given block
                        args = cls.combine_kwargs(kwargs, block_args, i, steps)
                        x = base_block(x, name="pre", **args)

                        // Downsampling
                        if downsample.get("layout") is not None:

After Change

                for i in range(steps):
                    with tf.variable_scope("encoder-"+str(i)):
                        // Preprocess tensor with given block
                        args = {**kwargs, **block_args, **unpack_args(block_args, i, steps)} // enforce priority of keys
                        x = base_block(x, name="pre", **args)

                        // Downsampling

Instances