Custom operation is not displaying in TensorBoard graph












0














I'm using TensorFlow version 0.12. In my model, I used a custom operation like this:



with tf.variable_scope('custom_operation') as scope:
mmap = custom_operation(Conv, variable1=0.2, variable2=0.01)
_activation_summary(mmap)


The output shape is exactly as expected. My model is also running perfectly (though loss is very high). But the problem is in the Tensorboard I can see all the convolution and transpose convolution operations in the Tensorboard except "mmap" layer. How can I see the above operation layer, i.e., mmap, in the Tensorboard graph? Any type of help will be highly appreciable. This is my first model which I'm trying to develop using TensorFlow.










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  • Still facing the same issue. If anyone has any solution please suggest.
    – user1410665
    Nov 15 '18 at 17:59
















0














I'm using TensorFlow version 0.12. In my model, I used a custom operation like this:



with tf.variable_scope('custom_operation') as scope:
mmap = custom_operation(Conv, variable1=0.2, variable2=0.01)
_activation_summary(mmap)


The output shape is exactly as expected. My model is also running perfectly (though loss is very high). But the problem is in the Tensorboard I can see all the convolution and transpose convolution operations in the Tensorboard except "mmap" layer. How can I see the above operation layer, i.e., mmap, in the Tensorboard graph? Any type of help will be highly appreciable. This is my first model which I'm trying to develop using TensorFlow.










share|improve this question






















  • Still facing the same issue. If anyone has any solution please suggest.
    – user1410665
    Nov 15 '18 at 17:59














0












0








0







I'm using TensorFlow version 0.12. In my model, I used a custom operation like this:



with tf.variable_scope('custom_operation') as scope:
mmap = custom_operation(Conv, variable1=0.2, variable2=0.01)
_activation_summary(mmap)


The output shape is exactly as expected. My model is also running perfectly (though loss is very high). But the problem is in the Tensorboard I can see all the convolution and transpose convolution operations in the Tensorboard except "mmap" layer. How can I see the above operation layer, i.e., mmap, in the Tensorboard graph? Any type of help will be highly appreciable. This is my first model which I'm trying to develop using TensorFlow.










share|improve this question













I'm using TensorFlow version 0.12. In my model, I used a custom operation like this:



with tf.variable_scope('custom_operation') as scope:
mmap = custom_operation(Conv, variable1=0.2, variable2=0.01)
_activation_summary(mmap)


The output shape is exactly as expected. My model is also running perfectly (though loss is very high). But the problem is in the Tensorboard I can see all the convolution and transpose convolution operations in the Tensorboard except "mmap" layer. How can I see the above operation layer, i.e., mmap, in the Tensorboard graph? Any type of help will be highly appreciable. This is my first model which I'm trying to develop using TensorFlow.







python-2.7 tensorflow tensorboard






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share|improve this question











share|improve this question




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asked Nov 12 '18 at 14:15









user1410665

2210




2210












  • Still facing the same issue. If anyone has any solution please suggest.
    – user1410665
    Nov 15 '18 at 17:59


















  • Still facing the same issue. If anyone has any solution please suggest.
    – user1410665
    Nov 15 '18 at 17:59
















Still facing the same issue. If anyone has any solution please suggest.
– user1410665
Nov 15 '18 at 17:59




Still facing the same issue. If anyone has any solution please suggest.
– user1410665
Nov 15 '18 at 17:59












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