def __init__(self, dim1, dim2, context_dim, hid_dim, activation=nn.ELU()):
super(BlockAffineFlow, self).__init__()
self.dim1 = dim1
self.dim2 = dim2
self.actv = activation
self.hid = nn_.WNBilinear(dim1, context_dim, hid_dim)
self.shift = nn_.WNBilinear(hid_dim, context_dim, dim2)
def __init__(self, dim, context_dim, hid_dim,
mask=0, realify=nn_.softplus):
super(BlockAffineFlow, self).__init__()
self.mask = mask
self.dim = dim
self.realify = realify
self.gpu = True
self.hid = nn_.WNBilinear(dim, context_dim, hid_dim)
self.mean = nn_.ResLinear(hid_dim, dim)
self.lstd = nn_.ResLinear(hid_dim, dim)