1d04c0dd87debec1883e78252d396db93b383a2b,thinc/layers/with_list2ragged.py,,forward,#,20

Before Change

    layer = model.layers[0]
    pad = model.get_attr("pad")
    lengths = layer.ops.asarray([len(seq) for seq in seqs_in])
    X, bp_layer = layer.begin_update(layer.ops.flatten(seqs_in, pad=pad))

    def backprop(d_seqs_out: OutputType) -> InputType:
        d_X = bp_layer(layer.ops.flatten(d_seqs_out, pad=pad))

After Change

    layer = model.layers[0]
    pad = model.get_attr("pad")
    lengths = layer.ops.asarray([len(seq) for seq in Xs])
    Xf = layer.ops.flatten(Xs, pad=pad)
    Yf, get_dXf = layer(Xf, is_train)

    def backprop(dYs: OutputType) -> InputType:
        dYf = layer.ops.flatten(dXs, pad=pad)
        dXf = get_dXf(dYf)

Instances