Hi,
I am trying to use your toolkit in Google Colaboratory starting from the example Attention on ResNet50 (Saliency and grad-CAM).
Python version: 3.6.9
TensorFlow version: 2.2.0
Due to the non-updated version of keras-vis in pip, I installed the package with:
/usr/local/lib/python3.6/dist-packages/vis/visualization/saliency.py in visualize_saliency(model, layer_idx, filter_indices, seed_input, wrt_tensor, backprop_modifier, grad_modifier, keepdims)
125 if backprop_modifier is not None:
126 modifier_fn = get(backprop_modifier)
--> 127 model = modifier_fn(model)
128
129 # `ActivationMaximization` loss reduces as outputs get large, hence negative gradients indicate the direction
/usr/local/lib/python3.6/dist-packages/vis/backprop_modifiers.py in guided(model)
15 (https://arxiv.org/pdf/1412.6806.pdf)
16 """
---> 17 return backend.modify_model_backprop(model, 'guided')
18
19
/usr/local/lib/python3.6/dist-packages/vis/backend/tensorflow_backend.py in modify_model_backprop(model, backprop_modifier)
93
94 # 3. Create graph under custom context manager.
---> 95 with tf.get_default_graph().gradient_override_map({'Relu': backprop_modifier}):
96 # This should rebuild graph with modifications.
97 modified_model = load_model(model_path)
AttributeError: module 'tensorflow' has no attribute 'get_default_graph'
The only way to make this code works is to modify the source code of keras-vis replacing tf.get_default_graph() with tf.compat.v1.get_default_graph() in backend/tensorflow_backend.py:95.
Hi, I am trying to use your toolkit in Google Colaboratory starting from the example Attention on ResNet50 (Saliency and grad-CAM). Python version: 3.6.9 TensorFlow version: 2.2.0 Due to the non-updated version of keras-vis in pip, I installed the package with:
However, when I try to execute this part:
with
modifier = 'guided'
, I get this error:The only way to make this code works is to modify the source code of keras-vis replacing
tf.get_default_graph()
withtf.compat.v1.get_default_graph()
in backend/tensorflow_backend.py:95.Is it a bug or am I doing something wrong?