Custom operation is not displaying in TensorBoard graph
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
asked Nov 12 at 14:15
user1410665
2210
add a comment |
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
asked Nov 12 at 14:15
user1410665
2210
Still facing the same issue. If anyone has any solution please suggest.
– user1410665
Nov 15 at 17:59
add a comment |
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
asked Nov 12 at 14:15
user1410665
2210
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
python-2.7 tensorflow tensorboard
asked Nov 12 at 14:15
user1410665
2210
asked Nov 12 at 14:15
user1410665
2210
asked Nov 12 at 14:15
user1410665
2210
asked Nov 12 at 14:15
user1410665
2210
asked Nov 12 at 14:15
user1410665
2210
2210
Still facing the same issue. If anyone has any solution please suggest.
– user1410665
Nov 15 at 17:59
add a comment |
Still facing the same issue. If anyone has any solution please suggest.
– user1410665
Nov 15 at 17:59
Still facing the same issue. If anyone has any solution please suggest.
– user1410665
Nov 15 at 17:59
Still facing the same issue. If anyone has any solution please suggest.
– user1410665
Nov 15 at 17:59
add a comment |
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Still facing the same issue. If anyone has any solution please suggest.
– user1410665
Nov 15 at 17:59