OSError: SavedModel file does not exist at: ../dnn/mpg_model.h5/{saved_model.pbtxt|saved_model.pb}
Solution 1
The error occurs because your code is trying to load a model that does not exist. From the Notebook file you linked, you will most likely have to run the following:
from werkzeug.wrappers import Request, Response
from flask import Flask
app = Flask(__name__)
@app.route("/")
def hello():
return "Hello World!"
if __name__ == '__main__':
from werkzeug.serving import run_simple
run_simple('localhost', 9000, app)
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Activation
from sklearn.model_selection import train_test_split
from tensorflow.keras.callbacks import EarlyStopping
import pandas as pd
import io
import os
import requests
import numpy as np
from sklearn import metrics
df = pd.read_csv(
"https://data.heatonresearch.com/data/t81-558/auto-mpg.csv",
na_values=['NA', '?'])
cars = df['name']
# Handle missing value
df['horsepower'] = df['horsepower'].fillna(df['horsepower'].median())
# Pandas to Numpy
x = df[['cylinders', 'displacement', 'horsepower', 'weight',
'acceleration', 'year', 'origin']].values
y = df['mpg'].values # regression
# Split into validation and training sets
x_train, x_test, y_train, y_test = train_test_split(
x, y, test_size=0.25, random_state=42)
# Build the neural network
model = Sequential()
model.add(Dense(25, input_dim=x.shape[1], activation='relu')) # Hidden 1
model.add(Dense(10, activation='relu')) # Hidden 2
model.add(Dense(1)) # Output
model.compile(loss='mean_squared_error', optimizer='adam')
monitor = EarlyStopping(monitor='val_loss', min_delta=1e-3, patience=5, verbose=1, mode='auto',
restore_best_weights=True)
model.fit(x_train,y_train,validation_data=(x_test,y_test),callbacks=[monitor],verbose=2,epochs=1000)
pred = model.predict(x_test)
# Measure RMSE error. RMSE is common for regression.
score = np.sqrt(metrics.mean_squared_error(pred,y_test))
print(f"After load score (RMSE): {score}")
model.save(os.path.join("./dnn/","mpg_model.h5"))
This will train and save the model that your code is loading.
It also looks like you have a small typo on the line: model = load_model(os.path.join("../dnn/","mpg_model.h5"))
which should be changed to model = load_model(os.path.join("./dnn/","mpg_model.h5"))
Solution 2
I was getting the same error trying to load a .h5 model on a raspberry pi.
OSError: SavedModel file does not exist at: ... {saved_model.pbtxt|saved_model.pb}
sudo apt install python3-h5py
Seemed to have solved the issue.
Related videos on Youtube
Mohamed Magdy
Updated on June 04, 2022Comments
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Mohamed Magdy almost 2 years
**
code editor: vscode
cmd: anaconda prompt
I followed the tutorial but why this error? **
first error was ModuleNotFoundError: No module named 'tensorflow' but i make env and install it second error was ModuleNotFoundError: No module named 'flask' but i make env and install it i fix them and they work on python How can I solve this?
# T81-558: Applications of Deep Neural Networks # Module 13: Advanced/Other Topics # Instructor: [Jeff Heaton](https://sites.wustl.edu/jeffheaton/), McKelvey School of Engineering, [Washington University in St. Louis](https://engineering.wustl.edu/Programs/Pages/default.aspx) # For more information visit the [class website](https://sites.wustl.edu/jeffheaton/t81-558/). # Deploy simple Keras tabular model with Flask only. from flask import Flask, request, jsonify import uuid import os from tensorflow.keras.models import load_model import numpy as np app = Flask(__name__) # Used for validation EXPECTED = { "cylinders":{"min":3,"max":8}, "displacement":{"min":68.0,"max":455.0}, "horsepower":{"min":46.0,"max":230.0}, "weight":{"min":1613,"max":5140}, "acceleration":{"min":8.0,"max":24.8}, "year":{"min":70,"max":82}, "origin":{"min":1,"max":3} } # Load neural network when Flask boots up model = load_model(os.path.join("../dnn/","mpg_model.h5")) @app.route('/api/mpg', methods=['POST']) def calc_mpg(): content = request.json errors = [] # Check for valid input fields for name in content: if name in EXPECTED: expected_min = EXPECTED[name]['min'] expected_max = EXPECTED[name]['max'] value = content[name] if value < expected_min or value > expected_max: errors.append(f"Out of bounds: {name}, has value of: {value}, but should be between {expected_min} and {expected_max}.") else: errors.append(f"Unexpected field: {name}.") # Check for missing input fields for name in EXPECTED: if name not in content: errors.append(f"Missing value: {name}.") if len(errors) <1: # Predict x = np.zeros( (1,7) ) x[0,0] = content['cylinders'] x[0,1] = content['displacement'] x[0,2] = content['horsepower'] x[0,3] = content['weight'] x[0,4] = content['acceleration'] x[0,5] = content['year'] x[0,6] = content['origin'] pred = model.predict(x) mpg = float(pred[0]) response = {"id":str(uuid.uuid4()),"mpg":mpg,"errors":errors} else: # Return errors response = {"id":str(uuid.uuid4()),"errors":errors} print(content['displacement']) return jsonify(response) if __name__ == '__main__': app.run(host= '0.0.0.0',debug=True)
#conda (tf-gpu) (HelloWold) C:\Users\ASUS\t81_558_deep_learning\py>python mpg_server_1.py 2020-05-09 17:25:38.498181: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll Traceback (most recent call last): File "mpg_server_1.py", line 26, in <module> model = load_model(os.path.join("../dnn/","mpg_model.h5")) File "C:\Users\ASUS\Envs\HelloWold\lib\site-packages\tensorflow\python\keras\saving\save.py", line 189, in load_model loader_impl.parse_saved_model(filepath) File "C:\Users\ASUS\Envs\HelloWold\lib\site-packages\tensorflow\python\saved_model\loader_impl.py", line 113, in parse_saved_model constants.SAVED_MODEL_FILENAME_PB)) OSError: SavedModel file does not exist at: ../dnn/mpg_model.h5/{saved_model.pbtxt|saved_model.pb}
from https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_13_01_flask.ipynb https://www.youtube.com/watch?v=H73m9XvKHug&t=1056s
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Mohamed Magdy almost 4 yearsDo you mean this error from code not from path or python or TensorFlow or conda?
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Mohamed Magdy almost 4 yearsBut this error appears when I install Tensorflow_GPU the code works well before it
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sebtheiler almost 4 yearsThe code works without TensorFlow GPU? Do you mean it works with TensorFlow CPU or without TensorFlow at all? The
OSError: SavedModel file does not exist at: ../dnn/mpg_model.h5/{saved_model.pbtxt|saved_model.pb}
occurs because there is no file at the location you are trying to access. -
Mohamed Magdy almost 4 years(tensorflow) C:\Users\ASUS\dev\Hellowold>python mpg_server_1.py 2020-05-07 16:04:09.737598: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2 * Serving Flask app "mpg_server_1" (lazy loading) * Environment: tensorflow * Debug mode: on * Restarting with stat * Debugger is active! * Debugger PIN: 254-090-327 * Running on 0.0.0.0:5000 (Press CTRL+C to quit)
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Mohamed Magdy almost 4 yearsno it run with tensorflow cpu
2020-05-07 16:04:18.352421: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
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sebtheiler almost 4 yearsDoes the path
./dnn/mpg_model.h5
exist when you are running the code with TensorFlow GPU? -
Mohamed Magdy almost 4 yearswhen i run code with tensorflow CPU the path
./dnn/mpg_model.h5
exist -
Mohamed Magdy almost 4 years
(tensorflow) C:\Users\ASUS\dev\Hellowold>python mpg_server_1.py 2020-05-07 16:04:09.737598: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2 * Serving Flask app "mpg_server_1" (lazy loading) * Environment: tensorflow * Debug mode: on * Restarting with stat I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary * Debugger is active! * Debugger PIN: 254-090-327 * Running on http://0.0.0.0:5000/ (Press CTRL+C to quit)
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Mohamed Magdy almost 4 yearswhen I run it this was the result with no errors and no edit in the file
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sebtheiler almost 4 yearsBut it doesn't exist when you run the exact same code with TensorFlow GPU?
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Mohamed Magdy almost 4 yearsyeah it doesn't exist when i run the exact same code with TensorFlow GPU
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sebtheiler almost 4 yearsAre you getting any errors in the code that saves the model, that might possibly prevent it from saving?
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Mohamed Magdy almost 4 yearsNo errors but the web server didn't open. Also Jeff didn't open it. watch this video youtube.com/watch?v=H73m9XvKHug&t=1056s github.com/jeffheaton/t81_558_deep_learning/blob/master/…
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sebtheiler almost 4 yearsCould you give a complete code sample, preferably a Colab notebook, that completely replicates your issue?
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Mohamed Magdy almost 4 years
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Mohamed Magdy almost 4 yearsThe error comes when I deactivate tensorFlow and activate tf_gpu , I think I should delete envs and install flask and tensorflow in my python not env?
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Mohamed Magdy almost 4 yearsIn this github tutorial when I follow it and run mpg_server_1 , it makes error "ModuleNotFoundError: No module named 'flask'" , ModuleNotFoundError: No module named 'tensorflow', so to solve this i make envs and setup tensorflow and flask in it, it names 'tensorflow' it run code with no error but '0.0.0.0:5000' is 'This site can’t be reached' so I think there was an error. so i make new env name tf_gpu and setup 'conda install tensorflow-gpu=2.1' and flask but it makes oserror
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sebtheiler almost 4 yearsCould you give a list of installed packages in the current environment (use
conda list
)? Make sure you have the other dependencies such as Pandas and scikit-learn installed as well. If you do, and the code still isn't running, you might want to try changingmodel.save(os.path.join("./dnn/","mpg_model.h5"))
to justmodel.save('mpg_model.h5')
and changingmodel = load_model(os.path.join("./dnn/","mpg_model.h5"))
tomodel = load_model('mpg_model.h5')
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Mohamed Magdy almost 4 yearsthe env has all packages so i will try to change model.save . thanks
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Mohamed Magdy almost 4 yearshow can I install tensorflow without env?
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sebtheiler almost 4 yearsIf you have pip installed, you could use
pip install tensorflow
orpip install tensorflow-gpu
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Mohamed Magdy almost 4 years
ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: 'c:\\users\\asus\\anaconda3\\anaconda\\lib\\site-packages\\numpy-1.18.4.dist-info\\METADATA'
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sebtheiler almost 4 yearsMaybe check out this question for that error: stackoverflow.com/questions/54778630/…
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Mohamed Magdy almost 4 yearsI install tensorflow but I have an error in keras [stackoverflow.com/questions/61929275/…
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sebtheiler almost 4 yearsI don't have enough rep to comment on the other question, but when the guy asked you to run
print(tensorflow)
, he meant with the ', so notimport tensorflow; print('tensorflow')
butimport tensorflow; print(tensorflow)