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[英]AttributeError: 'Model' object has no attribute 'trainable_variables' when model is <class 'keras.engine.training.Model'>
[英]trainable_variables attribute of the custom layer in Keras returns empty list
我試圖在tensorflow/keras
中構建我自己的自定義層,強制層是對稱的,我最終得到的是以下內容:
import tensorflow as tf
from tensorflow.python.framework.ops import enable_eager_execution
enable_eager_execution()
class MyDenseLayer(tf.keras.layers.Layer):
def __init__(self, num_outputs):
super(MyDenseLayer, self).__init__()
self.num_outputs = num_outputs
def build(self, input_shape):
X = tf.random.uniform([int(input_shape[-1]),self.num_outputs],minval=0,maxval=1,dtype=tf.dtypes.float32,)
k = tf.Variable(X, name="kernel")
self.kernel = 0.5 * (k+tf.transpose(k))
def call(self, input):
return tf.matmul(input, self.kernel)
layer = MyDenseLayer(5)
print(layer(tf.ones([3, 5])))
print(layer.trainable_variables)
到現在為止還挺好。 我不明白這一點:為什么最后一行
print(layer.trainable_variables)
給我一個空列表:
[]
我認為layer.trainable_variables
會告訴我我的矩陣是什么樣的,這樣我就可以檢查它是否對稱。
您需要使用add_weight
添加變量,然后調用build()
方法來創建此變量。 或者,您可以傳遞一個輸入(就像您在問題中所做的那樣build()
而不是直接調用build()
,它會隱式調用build()
方法。
import tensorflow as tf
from tensorflow.python.framework.ops import enable_eager_execution
enable_eager_execution()
class MyDenseLayer(tf.keras.layers.Layer):
def __init__(self, num_outputs):
super(MyDenseLayer, self).__init__()
self.num_outputs = num_outputs
def build(self, input_shape):
def initializer(*args, **kwargs):
X = tf.random.uniform([int(input_shape[-1]),self.num_outputs],minval=0,maxval=1,dtype=tf.dtypes.float32,)
kernel = 0.5 * (X+tf.transpose(X))
return kernel
self.kernel = self.add_weight(name='kernel',
shape=(input_shape[-1], self.num_outputs),
initializer=initializer,
trainable=True)
super(MyDenseLayer, self).build(input_shape)
def call(self, input_):
return tf.matmul(input_, self.kernel)
layer = MyDenseLayer(5)
layer.build((5, )) # <-- example of input shape
print(layer.trainable_variables)
# [<tf.Variable 'kernel:0' shape=(5, 5) dtype=float32, numpy=
# array([[0.04476559, 0.8396935 , 0.42732996, 0.75126845, 0.7109113 ],
# [0.8396935 , 0.46617424, 0.71654373, 0.5770991 , 0.38461512],
# [0.42732996, 0.71654373, 0.75249636, 0.28733748, 0.6064501 ],
# [0.75126845, 0.5770991 , 0.28733748, 0.9417101 , 0.61572695],
# [0.7109113 , 0.38461512, 0.6064501 , 0.61572695, 0.6960379 ]],
# dtype=float32)>]
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