Quantcast
Channel: Tensorflow: Cannot interpret feed_dict key as Tensor - Stack Overflow
Browsing all 9 articles
Browse latest View live

Answer by dopexxx for Tensorflow: Cannot interpret feed_dict key as Tensor

The error message TypeError: Cannot interpret feed_dict key as Tensor: Tensor Tensor("...", dtype=dtype) is not an element of this graph can also arise in case you run a session outside of the scope of...

View Article



Answer by Ashar Siddiqui for Tensorflow: Cannot interpret feed_dict key as...

In my case, I was using loop while calling in CNN multiple times, I fixed my problem by doing the following: # Declare this as global: global graph graph = tf.get_default_graph() # Then just before you...

View Article

Answer by yunus for Tensorflow: Cannot interpret feed_dict key as Tensor

This worked for me from keras import backend as K and after predicting my data i inserted this part of code then i had again loaded the model. K.clear_session() i faced this problem in production...

View Article

Answer by Javad Peymanfard for Tensorflow: Cannot interpret feed_dict key as...

If you use django server, just runserver with --nothreading for example: python manage.py runserver --nothreading

View Article

Answer by daoliker for Tensorflow: Cannot interpret feed_dict key as Tensor

Variable x is not in the same graph as model, try to define all of these in the same graph scope. For example, # define a graph graph1 = tf.Graph() with graph1.as_default(): # placeholder x =...

View Article


Tensorflow: Cannot interpret feed_dict key as Tensor

I am trying to build a neural network model with one hidden layer (1024 nodes). The hidden layer is nothing but a relu unit. I am also processing the input data in batches of 128. The inputs are...

View Article

Answer by Prajwol Lamichhane for Tensorflow: Cannot interpret feed_dict key...

You can also experience this while working on notebooks hosted on online learning platforms like Coursera. So, implementing following code could help get over with the issue.Implement this at the...

View Article

Answer by ahmadali shafiee for Tensorflow: Cannot interpret feed_dict key as...

I had the same issue with flask. adding --without-threads flag to flask run or threaded=False to app.run() fixed it

View Article


Answer by Jed for Tensorflow: Cannot interpret feed_dict key as Tensor

Similar to @javan-peymanfard and @hmadali-shafiee, I ran into this issue when loading the model in an API. I was using FastAPI with uvicorn. To fix the issue I just set the API function definitions to...

View Article

Browsing all 9 articles
Browse latest View live




Latest Images