AttributeError : 모듈 'tensorflow은'나는이 웹 사이트에있는 운동을 해결하기 위해 노력

Question

더 속성 'batch_matrix_band_part을'이없는 Convolutional Neural Networks

운동은 다음과 같습니다

The model architecture in inference() differs slightly from the CIFAR-10 model specified in cuda-convnet. In particular, the top layers of Alex's original model are locally connected and not fully connected. Try editing the architecture to exactly reproduce the locally connected architecture in the top layer.

나는 cifar10.py에 (batch_matrix_band_part) 기능을 추가하려고 inference()::

with tf.variable_scope('softmax_linear') as scope: 
weights = _variable_with_weight_decay('weights', [192, NUM_CLASSES], 
             stddev=1/192.0, wd=0.0) 
biases = _variable_on_cpu('biases', [NUM_CLASSES], 
          tf.constant_initializer(0.0)) 
##softmax_linear = tf.add(tf.matmul(local4, weights), biases, name=scope.name) ## fully connection layer 

WeightTemp = tf.batch_matrix_band_part(weights, -1, 1, name=None) ##using band matrix to be locally connected 
                    ## tf.batch_matrix_band_part(input, num_lower, num_upper, name=None) 
softmax_linear= tf.add(tf.matmul(local4, weightTemp), biases, name-scope.name) 
tf.nn.softmax(softmax_linear, dim=-1, name=None) ## for normalize the logits 
_activation_summary(softmax_linear) 
return softmax_linear 

만의 마지막 부분이 나에게이 에로을 줄입니다 r ::

AttributeError: module 'tensorflow' has no attribute 'batch_matrix_band_part' 

문제를 해결할 방법이 있습니까?

Answer 1

정확히 말하면 - tensorflow에는 batch_matrix_band_part이라는 메서드가 없습니다. 대신 tf.matrix_band_part

을 사용하십시오.