tensorflow for poets: “The name 'import/input' refers to an Operation not in the graph.”

Question

I was following the codelabs tensorflow for poets and the training worked fine but when I runned the script to evaluate a image:

python -m scripts.label_imag         


        

Answer 1

Or you can run by command lines with the options without changing codes:

python -m scripts.label_image2 --graph=tf_files/retrained_graph.pb -- 
folder_images=../updated_images/testing -- 
labels=tf_files/retrained_labels.txt --input_layer=Mul -- 
input_height=299 --input_width=299

Answer 2

You should add --output_layer=final_result:0 as parameter.

Final call is : python -m scripts.label_image \
--graph=tf_files/retrained_graph.pb  \
--output_layer=final_result:0 \
--image=tf_files/flower_photos/daisy/21652746_cc379e0eea_m.jpg

Answer 3

I changed ~/scripts/label_image.py line 77 and it works:

from

input_layer = "input"

to

input_layer = "Mul"

Answer 4

As @Mimii and @Celio mentioned: change ~/scripts/label_image.py, at the line input_layer = "input" to input_layer = "Mul" AND change the input dimensions: input_height = 299 and input_width= 299

Answer 5

Setting input layer to Mul works for me. However, it seems to be ignoring my input size settings and doesn't do any magic to resize the image to 299x299 which I guess Mul is expecting. I did this:

set INPUT_WIDTH=194 
set INPUT_HEIGHT=141 
set INPUT_LAYER=Mul 
python -m scripts.label_image --image=%IMAGE% --input_height=%INPUT_HEIGHT% \
--input_width=%INPUT_WIDTH% --graph=%GRAPH% \
--input_layer=%INPUT_LAYER% --output_layer=final_result

and got this:

ValueError: Cannot feed value of shape (1, 141, 194, 3) 
for Tensor 'import/Mul:0', which has shape '(1, 299, 299, 3)'

And ohhh, looking at the code, input_width and input_height are what to normalize to, not to normalize from. So it's all good. Also I needed to add my labels.