AttributeError: object has no attribute '_lazy_read'

Question

我正在使用 python 3 和 tensorflow 1.12 & eager eval

我正在尝试按照说明使用分散更新

我收到以下错误：

AttributeError: 'EagerTensor' object has no attribute '_lazy_read'

是否有可用于 eager eval 的解决方法或其他功能？

Answer 1

scatter_update 需要变量而不是常量张量：

Applies sparse updates to a variable reference.

我猜你传递了一个常量张量给 scater_update 导致抛出异常。这是一个急切模式的例子：

import tensorflow as tf

tf.enable_eager_execution()

data = tf.Variable([[2],
                    [3],
                    [4],
                    [5],
                    [6]])

cond = tf.where(tf.less(data, 5)) # update value less than 5
match_data = tf.gather_nd(data, cond)
square_data = tf.square(match_data) # square value less than 5

data = tf.scatter_nd_update(data, cond, square_data)

print(data)

# array([[ 4],
#    [ 9],
#    [16],
#    [ 5],
#    [ 6]], dtype=int32)>

AttributeError: object has no attribute '_lazy_read'

AttributeError: object has no attribute '_lazy_read'

python

machine-learning

deep-learning

tensorflow

eager-execution