utils.py

import numpy as np

def softmax(x):
    xt = np.exp(x - np.max(x))
    return xt / np.sum(xt)

def save_model_parameters_theano(outfile, model):
    U, V, W = model.U.get_value(), model.V.get_value(), model.W.get_value()
    np.savez(outfile, U=U, V=V, W=W)
    print "Saved model parameters to %s." % outfile
   
def load_model_parameters_theano(path, model):
    npzfile = np.load(path)
    U, V, W = npzfile["U"], npzfile["V"], npzfile["W"]
    model.hidden_dim = U.shape[0]
    model.word_dim = U.shape[1]
    model.U.set_value(U)
    model.V.set_value(V)
    model.W.set_value(W)
    print "Loaded model parameters from %s. hidden_dim=%d word_dim=%d" % (path, U.shape[0], U.shape[1])