'kerastensor' object has no attribute 'numpy'

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"Instead, use tensor.ref() as the key.") By clicking Post Your Answer, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. The configuration that worked for me: keras2onnx==1.7.0 GradientTape "AttributeError: 'KerasTensor' object has no attribute '_id'", https://github.com/jleinonen/downscaling-rnn-gan/blob/e136192e4786e7d0a1832f42854e5ef642698570/dsrnngan/train.py#L7, https://github.com/rstudio/tensorflow.rstudio.com/. Closed mtsokol opened this . 'Tensor' object has no attribute 'numpy' UPDATE: Note that eager execution is enabled by default in TensorFlow 2.0. Though this is still a real issue when using TF 2.5 and Shap 0.37. GradientTape "AttributeError: 'KerasTensor' object has no attribute Thanks! In the original code, they've defined it as a class, and they use K.gradients to calculate the gradients: I generally try to avoid classes in R, and write things as functions instead. Hi, i'm using tensorflow 2.4.0 , and want to compute gradients with keras tensor, but failed. Thanks for contributing an answer to Stack Overflow! Are arguments that Reason is circular themselves circular and/or self refuting? Thank you for your response. "Sibi quisque nunc nominet eos quibus scit et vinum male credi et sermonem bene", What does Harry Dean Stanton mean by "Old pond; Frog jumps in; Splash!". Not the answer you're looking for? 15 comments jwallbridge on Apr 14, 2021 Have I written custom code (as opposed to using a stock example script provided in TensorFlow): Yes. There seems to be a problem leading to the error 'KerasTensor' object has no attribute '_id'. Called from: py_call_impl(callable, dots$args, dots$keywords). Can YouTube (e.g.) Sci fi story where a woman demonstrating a knife with a safety feature cuts herself when the safety is turned off, Story: AI-proof communication by playing music. As mentioned in the docstring, KerasTensor has limitations when it comes to functional API. Can Henzie blitz cards exiled with Atsushi? Once you have sufficient, New! This means that it is no longer supported and will eventually be removed. to your account. ValueError: Passed in object of type , not tf.Tensor AttributeError: 'Tensor' object has no attribute 'numpy' - CSDN https://colab.research.google.com/drive/1fZtcnOY7mRMnFHihGsve3jA6RXk05dv-?usp=sharing, here is the link of the model i use: If you use an older version of networkx, you will still have the from_numpy_matrix attribute. "Sibi quisque nunc nominet eos quibus scit et vinum male credi et sermonem bene". Related posts. Can I use the door leading from Vatican museum to St. Peter's Basilica? This of course throws AttributeError: 'Tensor' object has no attribute 'numpy' since, as I understand it, evaluating to numpy is only applicable to "eager tensors" and here intermediate_tensor is technically a node in the model call graph(?or whatever the correct nomenclature is). Can someone advise me what I need to change in my code. rev2023.7.27.43548. Thanks, this looks like a huge nudge in the right direction! Any clues as to what I might be doing wrong? Well occasionally send you account related emails. raise TypeError("Tensor is unhashable. " Why is the expansion ratio of the nozzle of the 2nd stage larger than the expansion ratio of the nozzle of the 1st stage of a rocket? I have updated my question. It is still a problem. I read the publication entitled "IMPROVED TRAINABLE CALIBRATION METHOD FOR NEURAL For some of these use cases where you don't want to write a custom training loop from scratch, you may also want to consider using a custom training step if you need to use gradienttape in nontrivial ways: Can Henzie blitz cards exiled with Atsushi? It has been almost two months since the post stating the fix has been merged. From python, I want to perform an inference on a model using random input data (yes, this sounds weird, but just go with it - the image data will NOT come from files on disk). Please reopen if you'd like to work on this further. I think the rest will be better explained with what I'm hoping can work as a minimal reproducible example. How to Fix AttributeError: 'Series' object has no attribute 'reshape' How and why does electrometer measures the potential differences? same issue here computing gradients on tf.keras.application.VGG16 with 2.4.1. In this tutorial, we will introduce you how to fix it. Solution 1: Downgrade the numpy version Can YouTube (e.g.) To see all available qualifiers, see our documentation. This repository has been archived by the owner on Oct 13, 2021. send a video file once and multiple users stream it? Find centralized, trusted content and collaborate around the technologies you use most. tensorflow - 'KerasTensor' object has no attribute 'numpy' when trying to convert KerasTensor to NumPy array - how to fix? I'm working on a deep learning project using Keras, and I'm trying to convert a KerasTensor object to a NumPy array using the numpy() method, but I'm getting an AttributeError: I've seen other people use the numpy() method successfully in similar situations, so I'm not sure what's causing this error. You switched accounts on another tab or window. ---> 46 return explainer.model_output.graph Here's the init_export_network code with @Yu-Yang 's lambda fix implemented. Would be really grateful if someone can guide me. Other solutions I found work for tensorflow's Tensor object but not keras' KerasTensor object, and I did not find any mentioning of the ways to achieve the desired feature in keras documentation. For What Kinds Of Problems is Quantile Regression Useful? [1] Rcpp_1.0.8 here_0.1 lattice_0.20-41 png_0.1-7 rprojroot_1.3-2 zeallot_0.1.0 rappdirs_0.3.3 There's a lot of secretly broken code out of there because behavior differs between eager and graph modes and people are not aware that they're switching contexts, so be careful! Can Henzie blitz cards exiled with Atsushi? Error: TF 2.0 'Tensor' object has no attribute 'numpy' while using .numpy() although eager execution enabled by default TF 2.0 Custom Metric 'Tensor' object has no attribute 'numpy' Furthermore, a simple transition to tensorflow operations such as + # wtable = tf.reduce_sum(y_true, axis=0) / y_true.shape[0] did not work and would through errors . to your account. Why would a highly advanced society still engage in extensive agriculture? [9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=nb_NO.UTF-8 LC_IDENTIFICATION=C, attached base packages: python - `AttributeError: 'Tensor' object has no attribute 'numpy 54 with tf.GradientTape() as gtape: https://github.com/slundberg/shap/blob/40478171b90faf2d5c1d61a000a6cbcb01a81101/shap/explainers/_deep/deep_tf.py#L95. privacy statement. now tensorflow is 2.0.0, issue fixed. What I am seeing is that executing_eagerly_outside_functions is becoming true after tf_graph.as_default(): line. Error in py_call_impl(callable, dots$args, dots$keywords) : 45 else: Do the 2.5th and 97.5th percentile of the theoretical sampling distribution of a statistic always contain the true population parameter? To fix the AttributeError: module 'networkx' has no attribute 'from_numpy_matrix' and if you are using networkx 3.0, use the "nx.DiGraph ()" method . Please, help me with reproducing the issue. 64 var_list = [conv_output] I had the same problem. If I allow permissions to an application using UAC in Windows, can it hack my personal files or data? accept my apologies, i meant 0.38.2 which contains above PR, which isn't released yet. in () Finding the farthest point on ellipse from origin? However, I'm having trouble converting the KerasTensor to either a numpy array or a TensorFlow EagerTensor that can be accepted by the function. 'KerasTensor' object has no attribute 'numpy' when trying to convert KerasTensor to NumPy array - how to fix? AttributeError: module 'numpy' has no attribute 'float' using Ridge Can Henzie blitz cards exiled with Atsushi? I am getting this error Projects None yet Development 20 participants Do the 2.5th and 97.5th percentile of the theoretical sampling distribution of a statistic always contain the true population parameter? Asking for help, clarification, or responding to other answers. I saw similar error when I run code something like the following, I use anaconda 3 with tensorflow 1.14.0. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. I am not able to reproduce the issue. [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=nb_NO.UTF-8 LC_COLLATE=en_US.UTF-8 With the old compute_gradients this is simple. How do I print the full NumPy array, without truncation? File "demo-resnet-18-v4.py", line 119, in i suppose there is plenty of "good" v2 behaviour you want to keep activated. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. To see all available qualifiers, see our documentation. How to Fix AttributeError: module 'numpy' has no attribute 'bool' https://drive.google.com/file/d/1N013WMlgmDYOtblSxcmMGKB1cY3cRsaM/view?usp=sharing. AttributeError: 'KerasTensor' object has no attribute 'graph', add functions which disabled some actions in TF2, after adding the functions mentioned above, different error occur. See docs here. To learn more, see our tips on writing great answers. Do the 2.5th and 97.5th percentile of the theoretical sampling distribution of a statistic always contain the true population parameter? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. To fix the AttributeError: module 'numpy' has no attribute 'bool' error, "downgrade the numpy version" or use the "astype(bool)" method instead of the "np.bool()" method. and fix the issue. https://keras.io/guides/customizing_what_happens_in_fit/, Are you satisfied with the resolution of your issue? rev2023.7.27.43548. (with no additional restrictions), Manga where the MC is kicked out of party and uses electric magic on his head to forget things. Keep in mind that both ONNX and SHAP share the same problem (shap/shap#1694). 59 model.summary() but my model is trained by somebody else. In my example, I have a custom loss function that uses mae over intermediate layers of a neural network. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, The future of collective knowledge sharing, Your error doesn't come from this layer but rather from. keras2onnx==1.7.0 Ask Question Asked 2 months ago Modified 2 months ago Viewed 148 times 0 [15] whisker_0.4 Matrix_1.2-18 reticulate_1.25 generics_0.1.2 tools_4.0.2 compiler_4.0.2 base64enc_0.1-3. Try this to see if it resolves your issue. The training loop with a fit method already exists. tf.compat.v1.disable_v2_behavior(). It seems compute_gradients is not available in Tensorflow 2.4.1. ValueError: Passed in object of type , not tf.Tensor The problem with @AdityaKane2001's comment is the X in model(X). 'KerasTensor' object has no attribute 'numpy' when trying to convert Well occasionally send you account related emails. Connect and share knowledge within a single location that is structured and easy to search. The issue seems to be that for certain functions during the fitting model.fit() Called from: py_call_impl(callable, dots$args, dots$keywords). The major difference between my layer and the official example is I use an embedding lookup as an input, which is the output of the keras.layers.Embedding object, and reconstruction is. NETWORKS ON MEDICAL IMAGING CLASSIFICATION" available at https://arxiv.org/pdf/2009.04057.pdf. To learn more, see our tips on writing great answers. AttributeError: 'list' object has no attribute 'ndim' typically occurs in Keras when you are "trying to feed a list of data into a Keras model for training or prediction." I am using a custom loss function. If I try "watching" one variable or the other, I get: Error in py_call_impl(callable, dots$args, dots$keywords) : Can a judge or prosecutor be compelled to testify in a criminal trial in which they officiated? pip 21.1.2, Tried to downgrade tensorflow to 2.2.0, but pip complains: ERROR: No matching distribution found for tensorflow==2.2.0, getting same error in It only works in non-eager mode. You signed in with another tab or window. Hope this help , python 3.6.5 AttributeError: 'KerasTensor' object has no attribute 'graph' #651 - GitHub This means that the elements of x are treated as generic Python objects rather than numpy's specialized numeric types. Is there any other way? Still having same issue. Connect and share knowledge within a single location that is structured and easy to search. The text was updated successfully, but these errors were encountered: same here; persuminly looks like a tf2 induced issue where adopting tf.compat.v1 would help. How to use the tensors inside a Keras custom loss function? Shapes Detection OpenCV Python with Source Code | OpenCV Python Projects with Source Code Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. @jvishnuvardhan , A tensor object is a mathematical object that can be represented as an array of numbers. So what replaces compute_gradients in TF 2.4.1 or could this be a bug with GradientTape in this context? Please take a look at @AdityaKane2001's comment and let us know if you are still facing the same issue? We read every piece of feedback, and take your input very seriously. Making statements based on opinion; back them up with references or personal experience. My actual working code is part of a large RL pipeline so I am looking for a solution without modifying the general structure of the linked example. @ratmcu did you try 0.38.1 resulting from above PR already? AttributeError: 'Tensor' object has no attribute 'numpy' Please help me fix this! It happens in older version of TF. I tried to follow the CustomVariationalLayer class from this official example. By clicking Sign up for GitHub, you agree to our terms of service and [1] stats graphics grDevices utils datasets methods base, other attached packages: To learn more, see our tips on writing great answers. Called from: py_call_impl(callable, dots$args, dots$keywords). TF2.1.0Tensor object has no attribute numpy - CSDN tf.compat.v1.disable_v2_behavior(). Thanks for contributing an answer to Stack Overflow! Most of NumPy's functions, including np.exp, are designed to operate on these numeric types and may not work correctly with generic objects. Any clues as to what I might be doing wrong? AttributeError: module 'numpy' has no attribute 'bool' AttributeError: module 'numpy' has no attribute 'long' AttributeError: module 'numpy' has no attribute 'int' AttributeError: module 'numpy' has no attribute 'object' AttributeError: 'numpy ndarray' object has no attribute 'split' In Tensorflow 1 you could simply do, without an explicit input. Finding the farthest point on ellipse from origin? Why is {ni} used instead of {wo} in ~{ni}[]{ataru}? You signed in with another tab or window. Thanks! Thanks for contributing an answer to Stack Overflow! If you want your model to produce gradients as outputs (though that does not appear to be the case in the above examples): Can a lightweight cyclist climb better than the heavier one by producing less power? See also: https://www.tensorflow.org/api_docs/python/tf/config/run_functions_eagerly. This topic was automatically closed 21 days after the last reply. Can Henzie blitz cards exiled with Atsushi? Is it unusual for a host country to inform a foreign politician about sensitive topics to be avoid in their speech? Already on GitHub? Sign in How do I check if an object has an attribute? Why would a highly advanced society still engage in extensive agriculture? I have a KerasTensor object with shape (None, 128, 128, 1) that I need to pass to an OpenCV function. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Thank you @tilakrayal for reproducing the issue. Yes To see all available qualifiers, see our documentation. I have created a Keras version of this function as shown below: I understand that numpy should not be used in the custom function declaration. Thanks for your patience, my programming level is just above copy/paste/pray, any help is greatly appreciated. The workaround with "tf.compat.v1.disable_v2_behavior()" does work, but introduces some side effects for me, one of them is doubled training times. Why do we allow discontinuous conduction mode (DCM)? I suspect the place where you copied the code from had eager execution enabled, i.e. Keras model was created via Functional API, but the error is the same: Called from: py_call_impl(callable, dots$args, dots$keywords). Do the 2.5th and 97.5th percentile of the theoretical sampling distribution of a statistic always contain the true population parameter? In short, I think you need to wrap this line: (or any other backend function calls) into a Lambda layer. 594), Stack Overflow at WeAreDevelopers World Congress in Berlin, Temporary policy: Generative AI (e.g., ChatGPT) is banned, Preview of Search and Question-Asking Powered by GenAI, How to draw a specific color with gpu shader. By clicking Sign up for GitHub, you agree to our terms of service and Why would a highly advanced society still engage in extensive agriculture? Can you have ChatGPT 4 "explain" how it generated an answer? @jwallbridge Can you please check this issue which is similar to your issue. We read every piece of feedback, and take your input very seriously. tensorflow==2.3.1 :) k_gradients()/K.gradients() is indeed, effectively if not officially, deprecated. 57 x = Lambda(target_layer, output_shape = target_category_loss_output_shape)(input_model.output) Both of those run in graph mode. I was able to reproduce the issue in TF v2.4,v2.5.0rc0,nightly.Please find the gist here. If you are using Jupyter notebook, restart the Kernel. Hi, it looks like that the model path is wrong. Thank you @yan12125, that worked perfect for me in python==3.9.5, tensorflow==2.5.0, keras2onnx==1.7.0, onnxruntime==1.8.0, Well occasionally send you account related emails. You signed in with another tab or window. Can YouTube (e.g.) You'll notice in the code here that if context.executing_eagerly() then it calls the numpy attribute on the tensor, which is not . I need this to access and check the outputs of some layers of my sequential model. What is telling us about Paul in Acts 9:1? result.numpy() AttributeError: 'Tensor' object has no attribute 'numpy' jupyter-notebook A. Therefore ONNX and SHAP will have some delays in trying to keep up with TF's changes. Is it unusual for a host country to inform a foreign politician about sensitive topics to be avoid in their speech? 62 conv_output = [l for l in model.layers if l.name == layer_name][0].output If I allow permissions to an application using UAC in Windows, can it hack my personal files or data? I resolved the issue by uninstalling tf 2.4.0 and installing tf 2.2.0. face same problem too..Please fix this as soon as possible. 594), Stack Overflow at WeAreDevelopers World Congress in Berlin, Temporary policy: Generative AI (e.g., ChatGPT) is banned, Preview of Search and Question-Asking Powered by GenAI. I met the same issue (TF 2.4.0, python 3.7.10, keras2onnx 1.7.0 ), my colleague solved the problem in this way: then the model can be converted successfully! I'm using Keras with TensorFlow 2.12.0 as the backend. How to use the tensors inside a Keras custom loss function? And what is a Turbosupercharger? Why is the expansion ratio of the nozzle of the 2nd stage larger than the expansion ratio of the nozzle of the 1st stage of a rocket? To learn more, see our tips on writing great answers. I'm trying to build a Wasserstein GAN with gradient penalty, following this paper. AttributeError: 'numpy.ndarray' object has no attribute 'append' Thanks! I had the same issue, it worked with tensorflow version 2.2.0, this worked for me, thanks Yes, and as per the source code, KerasTensor is in no way related to tf.Tensor. e.eval (session=tf.compat.v1.Session ()) If you intend to do the first thing, I would recommend you go through this. privacy statement. tensorflow==2.5.0 compute gradient error: 'KerasTensor' object has no attribute '_id Asking for help, clarification, or responding to other answers. What does Harry Dean Stanton mean by "Old pond; Frog jumps in; Splash!". Since the accepted answer did not solve the problem for me so I thought it might be helpful for some people who face the problem and that already have tensorflow version >= 2.2.0 and eager execution enabled. Is there any update on this? The correct usage for gradient tape is: Also, you need not make a Lambda layer for the loss function. The model.get_layer("xxx").output API returns a 'KerasTensor' which I believe causes this issue. 2375 . /usr/local/lib/python3.6/dist-packages/shap/explainers/tf_utils.py in _get_graph(explainer) You switched accounts on another tab or window. to your account. Using tf.GradientTape as a part of Keras functional model construction is unsupported, and we have no plans on the roadmap to add support for it at this point in time.. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. shap==0.37.0 The model that I want to use . However, I've been googling it for weeks and I'm not getting any wiser! The solution for me was to pass the flag run_eagerly=True to the model.compile() like this: Tensorflow 2 has a config option to run functions "eagerly" which will enable getting Tensor values via .numpy() method. By clicking Post Your Answer, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct. If I try "watching" one variable or the other, I get: Error in py_call_impl(callable, dots$args, dots$keywords) : @St-Savin Make sure to add it at the very beginning when you import tf the first time. If I'm not mistaken, you want to write a custom training loop which will scale the gradients by some constant and then apply them, right? :). Are you satisfied with the resolution of your issue? Sign in Why do code answers tend to be given in Python when no language is specified in the prompt? And I am using this model to provide shap explanation. @jwallbridge AttributeError: module 'numpy' has no attribute 'float' occurs because "you are using the numpy.float, which has been deprecated in the newer version of numpy." In numpy 1.24, the "float" attribute was deprecated. I am having attribute errors with my code. I'm using tensorflow 2.3 and I'm having an issue when i try to call a function that returns a keras.Model . By clicking Post Your Answer, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct. Can YouTube (e.g.) Passed in object of type <class 'tensorflow.python.keras.engine.keras_tensor.KerasTensor'>, not tf.Tensor for g.watch(x) . - Stack Overflow 'KerasTensor' object has no attribute 'numpy' when trying to convert KerasTensor to NumPy array - how to fix? Error in py_call_impl(callable, dots$args, dots$keywords) : I apologize if this is not the correct forum for this question, but any help would be greatly appreciated! BLAS: /usr/lib/x86_64-linux-gnu/atlas/libblas.so.3.10.3 Essentially, I'm trying to recreate their python code in R. All was going well until I tried to implement their gradient penalty. Story: AI-proof communication by playing music. @sgreene do you have the same setup maybe? You don't get a KerasTensor from predict method. It helps us in localizing the issue faster. python - AttributeError: 'numpy.ndarray' object has no attribute 'torch 2 frames I'm trying to convert Keras code to Onnx. What is Mathematica's equivalent to Maple's collect with distributed option? Previous owner used an Excessive number of wall anchors. Here's some additional context that might be helpful: Thanks for contributing an answer to Stack Overflow! How to draw a specific color with gpu shader. keras==2.4.3, tf2onnx==1.9.1. Let's say I want to rescale the gradients in a layer by 1/3. https://github.com/roma-glushko/kaggle-digit-recognizer/blob/master/index.ipynb. The input_tensor initially has the shape (128, 128, 1) and belongs to the class 'numpy.ndarray'. How do I check if an object has an attribute? The from_numpy_matrix attribute was removed from the networkx module in version 2.6.0. 44 return explainer.session.graph Hope this helps. I did an install on July 29 and still get the same error. Asking for help, clarification, or responding to other answers. I managed to transform an H5 Keras model to an ONNX model via tf2onnx. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. rev2023.7.27.43548. This has the benefit of not needing eager mode. python A. Sign in Use a subclass model that uses tf.GradientTape to output the gradients from call. Effect of temperature on Forcefield parameters in classical molecular dynamics simulations. Have a question about this project? Calling .eval() on that tensor object is expected to return a numpy ndarray. Making statements based on opinion; back them up with references or personal experience. Making statements based on opinion; back them up with references or personal experience. 'Tensor' object has no attribute '_numpy' for concat #41040. I have the same issue, is someone who has a workaround? onnxruntime==1.8.0 Have I written custom code (as opposed to using a stock example script provided in TensorFlow): Yes. Thanks for contributing an answer to Stack Overflow! No. Asking for help, clarification, or responding to other answers. Essentially, I'm trying to recreate their python code in R. All was going well until I tried to implement their gradient penalty. How to Fix AttributeError: module 'networkx' has no attribute 'from When you replace model(X) by model.output you get. Tensorflow 2.3 - AttributeError: 'Tensor' object has no attribute By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. had invoked tf.enable_eager_execution() at the start of the program. OverflowAI: Where Community & AI Come Together, Keras Custom Layer - AttributeError: 'Tensor' object has no attribute '_keras_history', https://stackoverflow.com/a/45309816/1531463, Behind the scenes with the folks building OverflowAI (Ep. There is also a GAN implementation, and a callback_gan_monitor(), in the 2nd edition of the Deep Learning with R book, which may be helpful or save you some time in adapting the Python example.