def load_params(self, filename):
r = p.load(filename)
self.epsilon = r['epsilon']
self.parameters['gamma'] = r['gamma']
self.parameters['beta'] = r['beta']
self.running_mean = r['running_mean']
self.running_var = r['running_var']
self.sqrtvar = r['sqrtvar']
def load_parameters(self, path):
v = p.load(path + os.sep + self.name + '_v.npz')
if isinstance(v, numpy.lib.npyio.NpzFile):
files = v.files
else:
files = v.npz_file.files
for key in files:
self.v[key] = v[key]
s = p.load(path + os.sep + self.name + '_s.npz')
if isinstance(s, numpy.lib.npyio.NpzFile):
files = s.files
else:
files = s.npz_file.files
for key in files:
self.s[key] = s[key]
def load_params(self, path):
dic = load_struct_params(path + os.sep + self.name + '_struct.obj')
self.unit_number = dic['unit_number']
self.activation = dic['activation']
if dic['batchNormal']:
self.batch_normal = BatchNormal()
self.batch_normal.load_params(path + os.sep + self.name + '_batch_normal.npz')
r = p.load(path + os.sep + self.name + '.npz')
self.parameters['W'] = r['W']
self.parameters['b'] = r['b']
def load_params(self, path):
dic = load_struct_params(path + os.sep + self.name + '_struct.obj')
self.unit_number = dic['unit_number']
r = p.load(path + os.sep + self.name + '.npz')
if isinstance(r, numpy.lib.npyio.NpzFile):
files = r.files
else:
files = r.npz_file.files
for key in files:
self.parameters[key] = r[key]
def load_params(self, path):
dic = load_struct_params(path + os.sep + self.name + '_struct.obj')
self.word_to_idx = dic['word_to_idx']
self.n_a = dic['n_a']
r = p.load(path + os.sep + self.name + '.npz')
if isinstance(r, numpy.lib.npyio.NpzFile):
files = r.files
else:
files = r.npz_file.files
for key in files:
self.parameters[key] = r[key]
def load_params(self, path):
params = p.load(path + os.sep + self.name + '.npz')
dic = load_struct_params(path + os.sep + self.name + '_struct.obj')
self.filter_count = dic['filter_count']
self.filter_shape = dic['filter_shape']
self.stride = dic['stride']
self.padding = dic['padding']
self.activation = dic['activation']
self.parameters['W'] = params['W']
self.parameters['b'] = params['b']
if dic['batchNormal']:
self.batch_normal = BatchNormal()
self.batch_normal.load_params(path + os.sep + self.name + '_batch_normal.npz')
def load_params(self, path):
params = p.load(path + os.sep + self.name + '.npz')
dic = load_struct_params(path + os.sep + self.name + '_struct.obj')
self.vocab_size = dic['vocab_size']
self.word_dim = dic['word_dim']
self.parameters['W'] = params['W']