Error , Unsuccessful TensorSliceReader constructor: Failed to find any matching files for ram to unpickle a file

Question

I am running into this error , i can't unpickle a file on my jupyter notebook:

import os 
import pickle
import joblib
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
filename = open("loan_model3.pkl", "rb")
mdl = pickle.load(filename)
mdl.close()

and it always shows the below error message , even tho i'vce upgraded all my libraries

Error Message:

FileNotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for ram://89506590-ec42-44a9-b67c-3ee4cc8e884e/variables/variables You may be trying to load on a different device from the computational device. Consider setting the experimental_io_deviceoption intf.saved_model.LoadOptions to the io_device such as '/job:localhost'.

I tried to upgrade my libraries but still didn't work.

Hi @abdalla Adding `./` in front of the file name like this `filename = open("./loan_model3.pkl", "rb")` should help. Let us know if the error still persists. Thanks! — , Apr 11 '22 at 08:08
Hi @Tfer3 , i've tried that but unfortunately the error still there . — abdalla mahgoub, Apr 12 '22 at 07:24
Hi @Tfer3 sorry for late reply , yes they are both in the same folder , im using jupyter notebook , so they are in the same folder i saved my .py file — abdalla mahgoub, Apr 15 '22 at 18:51
Could you please share the steps used to save the model? Thanks! — , Apr 17 '22 at 14:46
Hey, were you able to solve this problem ?? I am facing the same issue currently. — Kakarot_7, Apr 23 '22 at 19:17
Any solution for this issue? Currently encountering the same — lse23, Aug 16 '22 at 18:40

score 5 · Answer 1 · answered Aug 03 '22 at 18:27

I got the same error too when I was trying to store my Sequential model in .pkl file, since Sequential model is a TensorFlow Keras model so we have to store it in .h5 file and Keras saves models in this format as it can easily store the weights and model configuration in a single file.

Code:

   from keras.models import load_model
   model.save('model.h5')
   model_final = load_model('model.h5')

score 0 · Answer 2 · answered May 16 '22 at 06:19

0

Idk if you are still here but I found the solution. basically you should not save the tensorflow model into a pickle file but instead into h5 file

## save model
save_path = './model.h5'
model.save(save_path)
## load tensorflow model
model = keras.models.load_model(save_path)

This worked for me. Hope this helps you too.

answered May 16 '22 at 06:19

Abdul Munim

13
1
3

Hi Abdul Munim , Thank you for your response , i will try this and revert back to you. – abdalla mahgoub May 17 '22 at 07:53
My apologies for the late reply , iw ill give it a try , so sorry fro replying late had some problems here. – abdalla mahgoub Sep 20 '22 at 07:39

Ahmad Hikmat · Answer 3 · 2022-05-23T00:16:47.533

0

this worked for me:

import tensorflow as tf
path = './model.h5'
model.save(path )
loaded_model= tf.keras.models.load_model(path )

edited May 23 '22 at 00:16

answered May 23 '22 at 00:14

Ahmad Hikmat

11
1

score 0 · Answer 4 · answered Nov 04 '22 at 15:57

0

I have faced the same issue, but by saving the model as .h5 file worked for me. Now i'm able to load .h5 model.

answered Nov 04 '22 at 15:57

vishnu kowndinya

1

Your answer could be improved with additional supporting information. Please [edit] to add further details, such as citations or documentation, so that others can confirm that your answer is correct. You can find more information on how to write good answers [in the help center](/help/how-to-answer). – Community Nov 08 '22 at 02:57
This is a duplicate answer. A similar answer already exists. – Azhar Khan Nov 09 '22 at 09:03

Error , Unsuccessful TensorSliceReader constructor: Failed to find any matching files for ram to unpickle a file

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