6ffa2565679f434dea6667e825f12630e9dbf96b,thinc/neural/_lsuv.py,,LSUVinit,#Any#Any#Any#,37

Before Change

        model = model._layers[0]
    if model.name in "softmax": // pragma: no cover
        return
    model.W[:] = svd_orthonormal(model.W.shape)
    acts = model(X)
    tol_var = 0.1
    t_max = 10
    t_i = 0

After Change

        model = model._layers[0]
    if model.name in "softmax": // pragma: no cover
        return
    copyto(model.W, svd_orthonormal(model.W.shape))
    acts = model(X)
    tol_var = 0.1
    t_max = 10
    t_i = 0

Instances