UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually
After a training procedure, I wanted to check the accuracy by loading the created model.h5 and executing an evaluation procedure. However, I am getting a following warning:
/usr/local/lib/python3.5/dist-packages/keras/engine/saving.py:269:
UserWarning: No training configuration found in save file: the model
was not compiled. Compile it manually. warnings.warn('No training
configuration found in save file:
This dist-packages/keras/engine/saving.py file
so the problem in loading created model -> this line of code
train_model = load_model('model.h5')
Problem indicates that the model was not compiled, however, I did it.
optimizer = Adam(lr=lr, clipnorm=0.001)
train_model.compile(loss=dummy_loss, optimizer=optimizer)
I can't understand what I am doing wrong . . .
Please help me! SOS :-(
python tensorflow keras
edited Nov 14 '18 at 8:17
Aqueous Carlos
352314
asked Nov 14 '18 at 8:09
Aziz SiyaevAziz Siyaev
162
add a comment |
After a training procedure, I wanted to check the accuracy by loading the created model.h5 and executing an evaluation procedure. However, I am getting a following warning:
/usr/local/lib/python3.5/dist-packages/keras/engine/saving.py:269:
UserWarning: No training configuration found in save file: the model
was not compiled. Compile it manually. warnings.warn('No training
configuration found in save file:
This dist-packages/keras/engine/saving.py file
so the problem in loading created model -> this line of code
train_model = load_model('model.h5')
Problem indicates that the model was not compiled, however, I did it.
optimizer = Adam(lr=lr, clipnorm=0.001)
train_model.compile(loss=dummy_loss, optimizer=optimizer)
I can't understand what I am doing wrong . . .
Please help me! SOS :-(
python tensorflow keras
edited Nov 14 '18 at 8:17
Aqueous Carlos
352314
asked Nov 14 '18 at 8:09
Aziz SiyaevAziz Siyaev
162
The warning doesn't prevent you from evaluating the model.
– Matias Valdenegro
Nov 14 '18 at 9:05
I have the same problem (usedmodel.save(..., include_optimizer=True)) (tensorflow's keras implementation)
– olejorgenb
Jan 14 at 11:04
add a comment |
After a training procedure, I wanted to check the accuracy by loading the created model.h5 and executing an evaluation procedure. However, I am getting a following warning:
/usr/local/lib/python3.5/dist-packages/keras/engine/saving.py:269:
UserWarning: No training configuration found in save file: the model
was not compiled. Compile it manually. warnings.warn('No training
configuration found in save file:
This dist-packages/keras/engine/saving.py file
so the problem in loading created model -> this line of code
train_model = load_model('model.h5')
Problem indicates that the model was not compiled, however, I did it.
optimizer = Adam(lr=lr, clipnorm=0.001)
train_model.compile(loss=dummy_loss, optimizer=optimizer)
I can't understand what I am doing wrong . . .
Please help me! SOS :-(
python tensorflow keras
edited Nov 14 '18 at 8:17
Aqueous Carlos
352314
asked Nov 14 '18 at 8:09
Aziz SiyaevAziz Siyaev
162
After a training procedure, I wanted to check the accuracy by loading the created model.h5 and executing an evaluation procedure. However, I am getting a following warning:
/usr/local/lib/python3.5/dist-packages/keras/engine/saving.py:269:
UserWarning: No training configuration found in save file: the model
was not compiled. Compile it manually. warnings.warn('No training
configuration found in save file:
This dist-packages/keras/engine/saving.py file
so the problem in loading created model -> this line of code
train_model = load_model('model.h5')
Problem indicates that the model was not compiled, however, I did it.
optimizer = Adam(lr=lr, clipnorm=0.001)
train_model.compile(loss=dummy_loss, optimizer=optimizer)
I can't understand what I am doing wrong . . .
Please help me! SOS :-(
python tensorflow keras
python tensorflow keras
edited Nov 14 '18 at 8:17
Aqueous Carlos
352314
asked Nov 14 '18 at 8:09
Aziz SiyaevAziz Siyaev
162
edited Nov 14 '18 at 8:17
Aqueous Carlos
352314
asked Nov 14 '18 at 8:09
Aziz SiyaevAziz Siyaev
162
edited Nov 14 '18 at 8:17
Aqueous Carlos
352314
edited Nov 14 '18 at 8:17
Aqueous Carlos
352314
edited Nov 14 '18 at 8:17
Aqueous Carlos
352314
352314
asked Nov 14 '18 at 8:09
Aziz SiyaevAziz Siyaev
162
asked Nov 14 '18 at 8:09
Aziz SiyaevAziz Siyaev
162
asked Nov 14 '18 at 8:09
Aziz SiyaevAziz Siyaev
162
162
The warning doesn't prevent you from evaluating the model.
– Matias Valdenegro
Nov 14 '18 at 9:05
I have the same problem (usedmodel.save(..., include_optimizer=True)) (tensorflow's keras implementation)
– olejorgenb
Jan 14 at 11:04
add a comment |
The warning doesn't prevent you from evaluating the model.
– Matias Valdenegro
Nov 14 '18 at 9:05
I have the same problem (usedmodel.save(..., include_optimizer=True)) (tensorflow's keras implementation)
– olejorgenb
Jan 14 at 11:04
The warning doesn't prevent you from evaluating the model.
– Matias Valdenegro
Nov 14 '18 at 9:05
The warning doesn't prevent you from evaluating the model.
– Matias Valdenegro
Nov 14 '18 at 9:05
I have the same problem (used
model.save(..., include_optimizer=True)) (tensorflow's keras implementation)– olejorgenb
Jan 14 at 11:04
I have the same problem (used
model.save(..., include_optimizer=True)) (tensorflow's keras implementation)– olejorgenb
Jan 14 at 11:04
add a comment |
1 Answer
1
active
oldest
votes
Do you get this warning when saving the model?
WARNING:tensorflow:TensorFlow optimizers do not make it possible to access
optimizer attributes or optimizer state after instantiation. As a result, we
cannot save the optimizer as part of the model save file.You will have to
compile your model again after loading it. Prefer using a Keras optimizer
instead (see keras.io/optimizers).
Seems tensorflow optimizers can't be preserved by keras :/
answered Jan 14 at 11:21
olejorgenbolejorgenb
539613
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53295570%2fuserwarning-no-training-configuration-found-in-save-file-the-model-was-not-c%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Do you get this warning when saving the model?
WARNING:tensorflow:TensorFlow optimizers do not make it possible to access
optimizer attributes or optimizer state after instantiation. As a result, we
cannot save the optimizer as part of the model save file.You will have to
compile your model again after loading it. Prefer using a Keras optimizer
instead (see keras.io/optimizers).
Seems tensorflow optimizers can't be preserved by keras :/
answered Jan 14 at 11:21
olejorgenbolejorgenb
539613
add a comment |
Do you get this warning when saving the model?
WARNING:tensorflow:TensorFlow optimizers do not make it possible to access
optimizer attributes or optimizer state after instantiation. As a result, we
cannot save the optimizer as part of the model save file.You will have to
compile your model again after loading it. Prefer using a Keras optimizer
instead (see keras.io/optimizers).
Seems tensorflow optimizers can't be preserved by keras :/
answered Jan 14 at 11:21
olejorgenbolejorgenb
539613
add a comment |
Do you get this warning when saving the model?
WARNING:tensorflow:TensorFlow optimizers do not make it possible to access
optimizer attributes or optimizer state after instantiation. As a result, we
cannot save the optimizer as part of the model save file.You will have to
compile your model again after loading it. Prefer using a Keras optimizer
instead (see keras.io/optimizers).
Seems tensorflow optimizers can't be preserved by keras :/
answered Jan 14 at 11:21
olejorgenbolejorgenb
539613
Do you get this warning when saving the model?
WARNING:tensorflow:TensorFlow optimizers do not make it possible to access
optimizer attributes or optimizer state after instantiation. As a result, we
cannot save the optimizer as part of the model save file.You will have to
compile your model again after loading it. Prefer using a Keras optimizer
instead (see keras.io/optimizers).
Seems tensorflow optimizers can't be preserved by keras :/
answered Jan 14 at 11:21
olejorgenbolejorgenb
539613
edited Jan 14 at 12:08
answered Jan 14 at 11:21
olejorgenbolejorgenb
539613
answered Jan 14 at 11:21
olejorgenbolejorgenb
539613
answered Jan 14 at 11:21
olejorgenbolejorgenb
539613
539613
add a comment |
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53295570%2fuserwarning-no-training-configuration-found-in-save-file-the-model-was-not-c%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
The warning doesn't prevent you from evaluating the model.
– Matias Valdenegro
Nov 14 '18 at 9:05
I have the same problem (used
model.save(..., include_optimizer=True)) (tensorflow's keras implementation)– olejorgenb
Jan 14 at 11:04