def _block_c(net, endpoints, d=256, scope='BlockC'):
with tf.variable_scope(scope):
net = endpoints[scope+'/Conv1'] = layers.conv2d(net, d, [3, 3], scope='Conv1_3x3')
net = endpoints[scope+'/Conv2'] = layers.conv2d(net, d, [3, 3], scope='Conv2_3x3')
net = endpoints[scope+'/Conv3'] = layers.conv2d(net, d, [3, 3], scope='Conv3_3x3')
net = endpoints[scope+'/Conv4'] = layers.conv2d(net, d, [3, 3], scope='Conv4_3x3')
net = endpoints[scope+'/Pool1'] = layers.max_pool2d(net, [2, 2], stride=2, scope='Pool1_2x2/2')
return net
评论列表
文章目录