def build_forward(self):
verbalise = self.FLAGS.verbalise
# Placeholders
inp_size = [None] + self.meta['inp_size']
self.inp = tf.placeholder(tf.float32, inp_size, 'input')
self.feed = dict() # other placeholders
# Build the forward pass
state = identity(self.inp)
roof = self.num_layer - self.ntrain
self.say(HEADER, LINE)
for i, layer in enumerate(self.darknet.layers):
scope = '{}-{}'.format(str(i),layer.type)
args = [layer, state, i, roof, self.feed]
state = op_create(*args)
mess = state.verbalise()
self.say(mess)
self.say(LINE)
self.top = state
self.out = tf.identity(state.out, name='output')
评论列表
文章目录