需要帮助解决问题属性错误：'function'对象没有属性'summary'

Question

需要帮助解决'AttributeError: 'function' object has no attribute 'summary'.

def model(inputs):
batch_size,height,width=config.BATCH_SIZE,config.IMAGE_SHAPE[0],config.IMAGE_SHAPE[1]

with slim.arg_scope(resnet_v2.resnet_arg_scope()):
#net, end_points = resnet_v2.resnet_v2_101(inputs, 1001, is_training=False)
net, end_points = resnet_v2.resnet_v2_152(inputs,
2048,
is_training=True,
global_pool=False,
reuse=tf.AUTO_REUSE,
output_stride=config.OUTPUT_STRIDE)
#print(net)
kp_maps = tf.contrib.layers.conv2d(net,num_outputs = config.NUM_KP,
kernel_size=(1,1),activation_fn=tf.nn.sigmoid,stride=1,scope='kp_maps',reuse=tf.AUTO_REUSE)
short_offsets = tf.contrib.layers.conv2d(net,num_outputs = 2*config.NUM_KP,
kernel_size=(1,1),activation_fn=None,stride=1,scope='short_offsets',reuse=tf.AUTO_REUSE)

mid_offsets = tf.contrib.layers.conv2d(net,num_outputs = 4*config.NUM_EDGES,
kernel_size=(1,1),activation_fn=None,stride=1,scope='mid_offsets',reuse=tf.AUTO_REUSE)

long_offsets = tf.contrib.layers.conv2d(net,num_outputs = 2*config.NUM_KP,
kernel_size=(1,1),activation_fn=None,stride=1,scope='long_offsets',reuse=tf.AUTO_REUSE)

seg_mask = tf.contrib.layers.conv2d(net,num_outputs = 1,
kernel_size=(1,1),activation_fn=tf.nn.sigmoid,stride=1,scope='seg_mask',reuse=tf.AUTO_REUSE)

model.summary()

我正在打印模型的摘要

Answer 1

似乎在model.summary()模型中是对当前函数的引用。

你试图使用递归函数引用。

尝试将模型引用与输入&使用它来获取摘要。

def model(model_obj, inputs):
...
model_obj.summary()