InvalidArgumentError：输入_1_1：0被同时获取和获取

Question

我正在keras-vis中使用visualize_activation函数：

from vis.visualization import visualize_activation, visualize_cam
from vis.utils import utils
from keras import activations

from matplotlib import pyplot as plt
%matplotlib inline
plt.rcParams['figure.figsize'] = (18, 6)

# Utility to search for layer index by name. 
# Alternatively we can specify this as -1 since it corresponds to the last 
# layer.
layer_idx = utils.find_layer_idx(my_model, 're_lu_3')

patches = np.expand_dims(patches,axis=3)

# This is the output node we want to maximize.
filter_idx = None
img = visualize_activation(my_model, layer_idx, filter_indices=filter_idx, 
seed_input=patches[0])
plt.imshow(img[..., 0])

但是，这将引发错误：InvalidArgumentError：输入_1_1：0被同时获取和获取。

该如何解决？我尝试使用tf.identity创建my_model的副本，但这没用。

Answer 1

keras-vis在pip上似乎坏了，请尝试直接在GitHub master分支上安装：

pip uninstall vis
pip install git+https://github.com/raghakot/keras-vis.git -U

使用pip上的版本，MNIST和ResNet示例都将输出错误：InvalidArgumentError: input_1_1:0 is both fed and fetched.。更新后，它们都可以正常工作。