Function norm_weight

misc/skipthoughts.py:333–340

(nin,nout=None, scale=0.1, ortho=True)

def norm_weight(nin,nout=None, scale=0.1, ortho=True):
	if nout == None:
		nout = nin
	if nout == nin and ortho:
		W = ortho_weight(nin)
	else:
		W = numpy.random.uniform(low=-scale, high=scale, size=(nin, nout))
	return W.astype('float32')


def param_init_gru(options, params, prefix='gru', nin=None, dim=None):