Valueerror unknown loss function load model compile (optimizer=Adam (lr=1e-6), loss=dice_coef_loss, metrics= [dice_coef]) After training and saving the model, it fails to load when I use above approach: model = load_model ('mymodel. My loss looks as follows: def weighted_cross_entropy(weights): w Dec 1, 2019 · System information Have I written custom code (as opposed to using a stock example script provided in TensorFlow): OS Platform and Distribution: Linux Ubuntu 18. 0. load_model加载模型时报错 使用了custom_objects字典仍然报错： Mar 18, 2019 · Setting As already mentioned in the title, I got a problem with my custom loss function, when trying to load the saved model. model s. Please ensure this object is passed to the custom_objects argument. e model_new. However when trying to revert to the best model encountered during training with Sep 22, 2025 · 文章浏览阅读1. h5', custom_objects={'CustomLayer': CustomLayer}) Since we are using Custom Layers to build the Model and before Saving it, we should use Custom Objects while Loading it. So, when you load the model you need to pass compile=False and load Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. Upvoting indicates when questions and answers are useful. If the model you want to load includes custom layers or other custom classes or functions, you can pass them to the loading mechanism via the custom_objects argument: from keras. hdf5', compile=False) loss-function I designed my own loss function. py file into my code, then included them as follows. 2): Sep 9, 2019 · Unable to load model with custom loss function with tf. org/gui Since you are using a custom loss function in your model, the loss function would not be saved when persisting the model on disk and instead only its name would be included in the model file. Jul 11, 2021 · Describe the bug Hi, I have already put the default custom object argument into the KerasModelArtifact but I am still getting the following error: ValueError: Unknown loss function: TOP1. load_model (filepath) I get: ValueError: Unknown loss function:binary_crossentropy + jaccard_loss During training, I use bce_ Aug 6, 2018 · Keras 2. layers import Co While loading your model, just use cutom_objects argument to pass the loss. 3 + Kears TF. I close and relaunch anaconda prompt, but I got ValueError: ('Unknown loss function', ':binary_crossentropy_2'). Dec 29, 2016 · What should I do to make my custom layers available to be loaded using load_model ()? I used my custom layers in this repo both Spectrogram and Melspectrogram didn't work for load_model (). 5 测试crf模型的加载，代码如下： import os os. 04 TensorFlow installed from (source Feb 20, 2019 · keras. The model trains perfectly fine and gets stored. models. Describe the expected behavior Oct 27, 2021 · In this case, you can pass the argument loss=custom_loss_function without the single-quotes. tensorflow. Mar 26, 2020 · keras: 2. x killed off a bunch of useful metrics that I need to use, so I copied the functions from the old metrics. My training and validation data set consists of about 1,000 images of 5 categories. load_model with a custom metric. VERSION, tf. h5', custom_objects Oct 23, 2019 · ValueError: Unknown metric function: CustomMetric occurs when trying to load a tf saved model using tf. ValueError: Unknown loss function:loss #97 Closed takerujason opened this issue on Sep 1, 2019 · 9 comments ValueError: Unknown loss function: contrastive_loss. If you look at the code for load_model, it is clear the load_model currently ignores the custom_objects dict for the tf saved model format. 8, tf1. However when trying to revert to the best model encountered during training with model = load_model("lc_model. Hi guys, I would appreciate if you can take a look into the issue I'm having with loading the model trained using Inception V3. Here's the main error: ValueError: Unknown layer: Functional 0 ValueError: Unknown layer: Functional You are getting above error, because you trained the model using Tensorflow 2. 3. How to pass object to custom_objects argument ? #1694 Open shreyapatilu opened this issue on Mar 8, 2022 Discussed in #1647 · 0 comments ☰ tf. I'm running keras using python2. You can pass custom_objects to the load_model to load those objects. Making statements based on opinion; back them up with references or personal experience. Please ensure this object is passed to the `custom_objects` argument. load_model #32348 Sep 17, 2019 · I designed my own loss function. Nov 15, 2022 · ValueError: Unknown loss function: categorical_focal_loss_fixed #30 Open dangmanhtruong1995 opened this issue on Nov 15, 2022 · 1 comment May 30, 2020 · I'm building a language model using Keras and I would like to use perplexity as my loss function, However when I tried to compile my model with my loss function, I get a value error saying that the Sep 17, 2021 · I have trained a keras model with a custom layer. Oct 21, 2021 · 1 I'm trying to implement a bespoke loss calculation model but keep getting hit with recognition failures. Then load in the pretrained model with compile=False and set your model weights to the weights of the pretrained model. (Or) Oct 5, 2016 · It did not work for me. 2. To provide that mapping, you can use custom_objects Oct 28, 2017 · To save people some time, this is what worked for me: If you load model only for prediction (without training), you need to set compile flag to False: model = load_model('model. So how do I correctly load the model when I am using this custom loss function? Sep 25, 2023 · Here the change required is to provide the name of the function and its actual implementation in a dictionary. 6. 结果预览可以看到模型成功被正确加载： _valueerror: unknown loss meansquareerror Dec 5, 2020 · I'm not sure what is wrong but it seems to be an issue with the loss function. Aug 8, 2017 · 22 I defined a new loss function in keras in losses. def precision(y_true, y_pred): # Jul 24, 2020 · I made a CNN in colab and saved the models at every epoch. environ ['TF_KERAS'] = '1' from bert4keras. layers. But when I am trying to load the model, I am unable to load it. eg: " ValueError: Unknown loss function: root_mean_squared_error_fraction. keras and why do you use a tf. 1 bert4keras: 0. If you’ve ever encountered errors like `ValueError: Unknown loss function` or `AttributeError: 'NoneType' object has no attribute Mar 21, 2017 · pierluigiferrari changed the title Loading model with custom loss function: UnboundLocalError: local variable 'class_name' referenced before assignment Loading model with custom loss function: ValueError: 'Unknown loss function' on Mar 22, 2017 Jun 4, 2018 · In your line 114, change load_model (weight_file_path) to net_model = load_model (weight_file_path, custom_objects= {'YOUR_LOSS_FUNCTION' : YOUR_LOSS_FUNCTION }) You probably used a custom loss function instead of keras built-ins. load_model() raises a ValueError when the model to be loaded uses a keras. Keras. Then, when you want to load back the model at a later time, you need to inform the model of the corresponding loss function for the stored name. To learn more, see our tips on writing great answers. py file. 7 and anaconda on windows 10. load_model () Add custom_objects parameter still error ValueError: Unknown loss function:mloss tags: tensorflow python Apr 30, 2020 · Thank you, turning complie=False helped me to load h5 model with custom metrics. Here's more info about callables and custom loss functions in Tensorflow. load _ model () 添加custom_objects参数仍然出错ValueError: Unknown loss function:m loss How the network model of the dice coefficient is used as a loss function (ValueError: Unknown loss function:dice_coef_loss), Programmer Sought, the best programmer technical posts sharing site. Huber. __version__)? Is this model defined via keras or tf. Talk to a Lightrun Answers expert Loading model with custom loss function: ValueError: 'Unknown loss function' See original GitHub issue I trained and saved a model that uses a custom loss function (Keras version: 2. losses. categorical_crossentropy(y_true, y_pred) and the code is: segnet_loss = KL. Top Results From Across the Web ValueError: 'Unknown loss function' · Issue #5916 · keras-team I trained and saved a model that uses a custom loss function (Keras version: 2. h5) using different version of Tensorflow. crf import CRF) Aug 20, 2019 · ValueError: Unknown loss function:build_vgg19_loss_network The function build_vgg19_loss_network is a custom loss function that I've implemented and that must be used by the GAN. h5模型，但不适用于savedmodel格式。目前TensorFlow的GitHub issue中该问题尚未解决，建议将load_model的compile参数设为 May 29, 2020 · I think you're missing a key part of this, what did you pass to compile? When you save the model it will save optimizer/training information. 1 python: 3. Or you can try load_weights if you don't want the optimizer stuff. When you save a model with custom_objects, those custom_objects cannot be serialized properly. 6w次，点赞27次，收藏38次。本文详细解析了在使用Keras的load_model函数时遇到的自定义损失函数dice_coef_loss无法加载的错误，并提供了修改方法。通过在load_model函数中添加custom_objects参数，指定了自定义的损失函数和指标，成功解决了问题。 Apr 10, 2020 · 当使用tf. 4 my loss is written something like this: def segnet_loss_graph(y_true, y_pred): return K. compile (optimizer=adam, Mar 22, 2017 · Loading model with custom loss function: ValueError: 'Unknown loss function' stale pierluigiferrari·22 Mar 2017·56 Comments 👍 24 Sep 17, 2021 · 学習時にcustom loss functionを使った場合、load時も同じ関数をcustom_objectとして渡してやらないといけないらしい。 ただ、再学習するのではなく推論するためにmodelをloadするのであれば以下のようにcompile=Falseを指定してやればOK。 Aug 14, 2020 · But once again it throws ValueError: Unknown loss function:vae_loss since I have the loss function defined inside the LSTM_VAE class, this is because the loss function is using LSTM_VAE class variables. 0b1-Release and trained a new model. layers import * from bert4keras. Dec 7, 2018 · keras 2. load_model('model. I defined a custom function "dice_coef", then I also defined a custom objectives "dice_coef_loss" which is essentially -1* dice_coef. Nov 16, 2021 · Unknown loss function. What's reputation and how do I get it? Instead, you can save this post to reference later. Jun 24, 2020 · 1 2 _azureg润 分享 tf. I exported the h5 file and now am trying to run the model on some test images. keras do you use (tf. However when trying to revert to the best model encountered during training with Apr 16, 2018 · If the model you want to load includes custom layers or other custom classes or functions, you can pass them to the loading mechanism via the custom_objects argument: ValueError: Unknown loss function:binary_focal_loss_fixed The reference article is as follows, so load_model Specify when custom_objects Jan 21, 2019 · Which versions of tensorflow and tf. model = keras. May 26, 2021 · CustomMSE 为自己写的loss，使用keras. 2): model. To fix above problem you can try to load the model using Tensorflow 2. hdf5’) Nov 13, 2025 · Keras has revolutionized deep learning with its user-friendly API, enabling developers to build and train models with minimal code. But when I try to load the model with keras. By the end, you’ll be able to confidently save, load, and reuse models with custom losses in Keras. keras. keras uploading a model, not a keras? TENSORFLOW2. Models. Below is the code from the custom loss-function I designed my own loss function. Aug 20, 2019 · I just tried the new 1. h5', custom_objects={'custom_function': custom_function}) Step by step explanation of the code Defining the custom function: First step involves defining our custom function, which might be a layer, a metric, an activation function, or code example for python - restore tf model python ValueError: Unknown loss function:smoothL1 - Best free resources for learning to code and The websites in this article focus on coding example Will report an error, need to add in the load_model function custom_objects Parameters to declare a custom layer (Build bilstm-crf with keras, when training the model, use: from keras_contrib. keras. Load_Model manned model, model ValueError: unknown loss function: define_loss, Programmer Sought, the best programmer technical posts sharing site. Oct 15, 2018 · loaded_model=load_model (‘/home/king/supervisely-tutorials/anpr_ocr/src/model_num. Then I compiled my model for training: model. compute_loss) When I try to load the model, I get this error: Valu Kerasで損失関数を独自に定義したモデルを保存した場合、load_modelで読み込むと「ValueError: Unknown loss function」とエラーになることがあります。その解決法を示します。 Aug 5, 2019 · tflite_convert a Keras h5 model which has a custom loss function results in a ValueError, even if I add it in the Keras losses import Apr 1, 2019 · The problem is that the model has saved a loss function with the name loss, because that is the name of the function that is actually returned by the asymmetric_loss function, but it can’t find Apr 4, 2020 · TL/DR: When you have custom_objects in the saved model, then you need to provide compile = False as an argument to the load_model. compile (optimizer=adam, loss=SSD_Loss (neg_pos_ratio=neg_pos_ratio, alpha=alpha). Just need to give the loss function you are using. However, one common roadblock arises when saving and loading models that use **custom objects**—especially custom loss functions. I temporarily solve it by adding the loss function in the python file I compile my model. See https://www. Sep 25, 2023 · Load a Keras Model with Custom Loss Function to Improve Accuracy and Performance If you're looking to improve the accuracy and performance of your keras models, you can load them with a custom loss function. load_model加载模型时，遇到ValueError: Unknown loss function。原因是自定义的loss在编译时未被识别。为解决此问题，可以尝试通过custom_objects参数传递自定义函数，此方法适用于. h5 Jun 27, 2019 · 其他的没有特别要注意的点，直接按照原来的思路训练一版模型出来就好了，关键的地方在于加载模型这里，自定义的函数需要特殊的加载方式，不然会出现加载没有自定义函数的问题： ValueError: Unknown loss function:focal_loss Jul 14, 2022 · 早就想到了这点，因此可以在中通过参数传入自定义的类或者函数：因此，我们只需要将通过传入即可：4. Please check the example here. Provide details and share your research! But avoid … Asking for help, clarification, or responding to other answers. May 20, 2020 · ValueError: Unknown loss function:binary_crossentropy_plus_jaccard_loss while loading saved model #335 Closed bhomaidan1990 opened this issue on May 20, 2020 · 1 comment. models import build_transformer_model from bert4keras. This tutorial will show you how to do this using the built-inloss function in Keras. Jun 9, 2020 · new_model = tf. Nov 13, 2025 · We’ll cover scenarios ranging from simple custom losses (without parameters) to complex ones (with additional hyperparameters or arguments), and even explore advanced use cases like class-based loss functions. Lambda( lambda ValueError: Unknown loss function:binary_crossentropy_weighted How to load a model of custom loss, Programmer Sought, the best programmer technical posts sharing site. models import load_model # Assuming your model includes instance of an "AttentionLayer" class model = load_model('my_model. h5") I got the Mar 21, 2017 · I trained and saved a model that uses a custom loss function (Keras version: 2. If you are unable to figure out what is wrong you can always just create a separate model with randomly initialized weights and compile that. 5 tensorflow: 2. After loading the model, you need to compile with the custom_objects. With compile=True, I was getting problems with eager mode model loading Jun 3, 2021 · You'll need to complete a few actions and gain 15 reputation points before being able to upvote. Loss subclass, such as keras. 0 and then tried to accessing the saved model ( i. load_model('path_to_my_model. ljzzz oywfrv npl vlryhr ushsh rvg pxoth mrn iyvv rded vqynrec iediz wapdid pdjut pcr