The from_numpy_matrix attribute was removed from the networkx module in version 2.6.0. After I stop NetworkManager and restart it, I still don't connect to wi-fi? Can a lightweight cyclist climb better than the heavier one by producing less power? Find centralized, trusted content and collaborate around the technologies you use most. AttributeError: 'Tensor' object has no attribute 'numpy' Tensorflow 2.3 I write here a snippet of my model Well occasionally send you account related emails. 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. Not the answer you're looking for? Why do code answers tend to be given in Python when no language is specified in the prompt? 0 AttributeError: module 'numpy' has no attribute 'float' with NumPy 1.20. Is it normal for relative humidity to increase when the attic fan turns on? pip install matplotlib. UPDATE: Note that eager execution is enabled by default in TensorFlow 2.0. 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. The correct usage for gradient tape is: Also, you need not make a Lambda layer for the loss function. raise TypeError("Tensor is unhashable. " There seems to be a problem leading to the error 'KerasTensor' object has no attribute '_id'. Full code example: #!/usr/bin/env python3import numpy as npimport tensorflow as tffrom tens - Pastebin.com The model takes three input tensors and produces two "one hot" output tensors. 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. This has the benefit of not needing eager mode. Thanks! Making statements based on opinion; back them up with references or personal experience. now tensorflow is 2.0.0, issue fixed. Can YouTube (e.g.) Thanks for contributing an answer to Stack Overflow! Keras model was created via Functional API, but the error is the same: You signed in with another tab or window. I already asked here, but it's a very tensorflow specific question.. I'm trying to build a Wasserstein GAN with gradient penalty, following this paper.Essentially, I'm trying to recreate their python code in R. I suspect it is a bug. Thanks for your help! E TypeError: Tensor is unhashable. 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! 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. Wow, yeah, this totally worked after I wrapped, New! Any clues as to what I might be doing wrong? import tensorflow as tf Making statements based on opinion; back them up with references or personal experience. I will try to find some time to setup the env. Though it is worth to mention that anyways tf2 eagerness had to be restrainted. Or is it something else that you are trying to achieve? Projects None yet Development 20 participants Is there any other way? tensorflow - 'KerasTensor' object has no attribute 'numpy' when trying to convert KerasTensor to NumPy array - how to fix? 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. Any clues as to what I might be doing wrong? Shapes Detection OpenCV Python with Source Code | OpenCV Python Projects with Source Code @ratmcu did you try 0.38.1 resulting from above PR already? 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 recon_layer = Dense(outshape, activation="tanh",kernel_regularizer=l2(in_args.l2_rate))(deconv_input) s_recon_layer = K.squeeze(recon_layer,2) Connect and share knowledge within a single location that is structured and easy to search. It helps us in localizing the issue faster. To learn more, see our tips on writing great answers. I a putting these lines on the top but still same issue [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=nb_NO.UTF-8 LC_COLLATE=en_US.UTF-8 .numpytf.enable_eager_execution () (), ==AttributeError: 'Tensor' object has no attribute 'numpy'== Well occasionally send you account related emails. They included the calibration component to the categorical cross entropy loss to create this custom function. Though this is still a real issue when using TF 2.5 and Shap 0.37. Solution 1: Downgrade the numpy version https://drive.google.com/file/d/11jAwZM2cq-4ng9Spo03dWxg_H5iaMbVN/view?usp=sharing. @sgreene do you have the same setup maybe? I do have the same issue. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, The future of collective knowledge sharing, New! Can Henzie blitz cards exiled with Atsushi? I did an install on July 29 and still get the same error. This topic was automatically closed 21 days after the last reply. https://keras.io/guides/customizing_what_happens_in_fit/, Are you satisfied with the resolution of your issue? shap==0.37.0 I am not able to reproduce the issue. I'm not sure if this helps, but I was able to run the conversion when I removed a data augmentation layer: I need this to access and check the outputs of some layers of my sequential model. So the answer above applies only to TensorFlow 1.x. any news on that except using tf.compat.v1.disable_v2_behavior() which is not ideal in any sense? @jwallbridge Platform: x86_64-pc-linux-gnu (64-bit) As mentioned in the docstring, KerasTensor has limitations when it comes to functional API. What does Harry Dean Stanton mean by "Old pond; Frog jumps in; Splash!". @jvishnuvardhan , The Journey of an Electromagnetic Wave Exiting a Router, N Channel MOSFET reverse voltage protection proposal, What does Harry Dean Stanton mean by "Old pond; Frog jumps in; Splash!". 56 target_layer = lambda x: target_category_loss(x, category_index, nb_classes) After passing it through the coder-decoder network, the output tensor has the same shape (128, 128, 1), but now belongs to the class 'keras.engine.keras_tensor.KerasTensor'. Somebody in another issue suggested to use tensorflow 1.15 that removes this particular issue, Hi guys any updates ? Can I use the door leading from Vatican museum to St. Peter's Basilica? 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." File "demo-resnet-18-v4.py", line 119, in We read every piece of feedback, and take your input very seriously. Have a question about this project? I have two questions. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Reproduce the error 'Tensor' object has no attribute '_numpy' for concat #41040. Brief intro I apologize if this is not the correct forum for this question, but any help would be greatly appreciated! Thanks! The text was updated successfully, but these errors were encountered: Having the same issue too with keras version 2.4.3 and python 3.8.5. @jvishnuvardhan , [1] stats graphics grDevices utils datasets methods base, other attached packages: I am not aware of any method to convert a KerasTensor to a tf.Tensor. By clicking Sign up for GitHub, you agree to our terms of service and Can I use the door leading from Vatican museum to St. Peter's Basilica? e.numpy () . "Sibi quisque nunc nominet eos quibus scit et vinum male credi et sermonem bene". tf version == 2.4.1. I need assistance in using tf functions or Keras backend functions as replacement. 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 Henzie blitz cards exiled with Atsushi? If I allow permissions to an application using UAC in Windows, can it hack my personal files or data? I'll try removing this when I get back to the machine I created it on and see if that makes a difference. second, I do not know how to fix the Attribute Errors. OverflowAI: Where Community & AI Come Together, AttributeError: 'Tensor' object has no attribute 'numpy', https://www.tensorflow.org/api_docs/python/tf/config/run_functions_eagerly, provide answers that don't require clarification from the asker, Behind the scenes with the folks building OverflowAI (Ep. I have updated my question. Is the DC-6 Supercharged? It has been almost two months since the post stating the fix has been merged. You don't get a KerasTensor from predict method. 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, Any help please, Thanks. TensorFlow: AttributeError: 'Tensor' object has no attribute 'shape', Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, The future of collective knowledge sharing. To see all available qualifiers, see our documentation. [9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=nb_NO.UTF-8 LC_IDENTIFICATION=C, attached base packages: But looking for in python 3.9.5. The input_tensor initially has the shape (128, 128, 1) and belongs to the class 'numpy.ndarray'. I was able to reproduce the issue in TF v2.4,v2.5.0rc0,nightly.Please find the gist here. Called from: py_call_impl(callable, dots$args, dots$keywords). File "demo-resnet-18-v4.py", line 65, in grad_cam To see all available qualifiers, see our documentation. Connect and share knowledge within a single location that is structured and easy to search. Thanks for contributing an answer to Stack Overflow! Can Henzie blitz cards exiled with Atsushi? To see all available qualifiers, see our documentation. Continuous Variant of the Chinese Remainder Theorem. Hi ravikyram, below is the main python code AttributeError: 'KerasTensor' object has no attribute '_id' But If that's a converter bug, how should I find the correct opset? 62 conv_output = [l for l in model.layers if l.name == layer_name][0].output 54 with tf.GradientTape() as gtape: Effect of temperature on Forcefield parameters in classical molecular dynamics simulations. keras2onnx 1.7.0 I'm trying to convert Keras code to Onnx. - Stack Overflow 'KerasTensor' object has no attribute 'numpy' when trying to convert KerasTensor to NumPy array - how to fix? onnxruntime==1.8.0 Please take a look at @AdityaKane2001's comment and let us know if you are still facing the same issue? Not the answer you're looking for? Hi, i'm using tensorflow 2.4.0 , and want to compute gradients with keras tensor, but failed. Are you satisfied with the resolution of your issue? If I allow permissions to an application using UAC in Windows, can it hack my personal files or data? I apologize if this is not the correct forum for this question, but any help would be greatly appreciated! 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. No. i suppose there is plenty of "good" v2 behaviour you want to keep activated. I have numpy version '1.25.1', python 3.10 and torch 2.0.1. Making statements based on opinion; back them up with references or personal experience. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. I have the same issue, Same issue, error while training DeepExplainer on tf.keras functional model: first, I do not quite understand why my X_test is still a numpy array, I thought it would be converted to a tensor when I am instantiating/creating the test_data object from my class? Find centralized, trusted content and collaborate around the technologies you use most. How to use the tensors inside a Keras custom loss function? Connect and share knowledge within a single location that is structured and easy to search. A Keras tensor is a symbolic tensor-like object, which we augment with certain attributes that allow us to build a Keras model just by knowing the inputs and outputs of the model. accept my apologies, i meant 0.38.2 which contains above PR, which isn't released yet. Thanks for your patience, my programming level is just above copy/paste/pray, any help is greatly appreciated. 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 . The Journey of an Electromagnetic Wave Exiting a Router. flat_grad = imperative_grad.imperative_grad( 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. You're on the right track. do you have an update on the issue? a) Use Tensorflow ufuncs for your loss function, for instance not using .numpy() and replacing np.sum() by tf.reduce_sum() b) Use NumPy ufuncs, but train eagerly, by passing run_eagerly=True in model.compile() How to handle repondents mistakes in skip questions? I have the same issue, is there going to be a fix soon? AttributeError: 'KerasTensor' object has no attribute 'graph' Adding these two lines to my script fixed it for me: import tensorflow as tf tf.compat.v1.disable_v2_behavior() No need to install alternative versions from other repos. This repository has been archived by the owner on Oct 13, 2021. Yes, and as per the source code, KerasTensor is in no way related to tf.Tensor. TypeError: Tensors are unhashable. Do the 2.5th and 97.5th percentile of the theoretical sampling distribution of a statistic always contain the true population parameter? What happens if you wrap your function in tf.numpy_function: tf.numpy_function | TensorFlow Core v2.8.0. Use tf.GradientTape instead. Hi, it looks like that the model path is wrong. I am getting the same error in Tensorflow 2.4.1 when computing gradients. Why is an arrow pointing through a glass of water only flipped vertically but not horizontally? import tensorflow as tf from tensorflow.python.framework.ops import disable_eager_execution disable_eager_execution() tf.compat.v1.disable_eager_execution() [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 I think the rest will be better explained with what I'm hoping can work as a minimal reproducible example. 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 . In fact, when I downgrade to 2.3.1 the error is not anymore when I try to convert the model, but when I try to save the model: changed the configuration to- You signed in with another tab or window. Have a question about this project? ----> 1 explainer=shap.DeepExplainer(model,trainX). Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Thanks for contributing an answer to Stack Overflow! "Pure Copyleft" Software Licenses? The issue is that we have defined your numpy array data with a datatype of an object. had invoked tf.enable_eager_execution() at the start of the program. 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! Dowgrading tensforflow to 2.2.0 or 2.3.1 does not fix the issue. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. https://github.com/keras-rl/keras-rl/blob/master/rl/agents/dqn.py#L167 The configuration that worked for me: How can I fix this error I downloaded this code from GitHub. I made minor adjustments like used the Stanford Dog Breed dataset and used softmax in the final layer instead of sigmoid. If I try "watching" one variable or the other, I get: Error in py_call_impl(callable, dots$args, dots$keywords) : Refer to. When you're calling X_test = test_data.X it isn't using the __getitem__ method, so the tranform ToTensor is not getting applied and you're just getting back the original numpy array that your EmbeddingDataset was initialised with. how to convert numpy array to keras tensor, Convert a KerasTensor object to a numpy array to visualize predictions in Callback. privacy statement. RuntimeError: tf.gradients is not supported when eager execution is enabled. Story: AI-proof communication by playing music. send a video file once and multiple users stream it? compute gradient error: 'KerasTensor' object has no attribute '_id', (tensorflow 2.4.0), https://colab.research.google.com/drive/1fZtcnOY7mRMnFHihGsve3jA6RXk05dv-?usp=sharing, https://drive.google.com/file/d/1N013WMlgmDYOtblSxcmMGKB1cY3cRsaM/view?usp=sharing, https://drive.google.com/file/d/1po6RoHQ_cok64EHXVrOIej1UXNnYsFIy/view?usp=sharing, https://keras.io/guides/customizing_what_happens_in_fit/, Computing gradients with Tensorflow 2.4.1: 'KerasTensor' object has no attribute '_id', Computing gradients for KerasTensors and allowing other operations. How to use the tensors inside a Keras custom loss function? Why do we allow discontinuous conduction mode (DCM)? In this study, they have proposed a custom loss function that incorporates calibration into the model training process. This is due to pred=model.output in GradientTape. Thus, I'll be doing the same soon. 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). You switched accounts on another tab or window. 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. I suspect the place where you copied the code from had eager execution enabled, i.e. To enable eager execution, use following command: Note that this is useful mainly for debugging. Essentially, I'm trying to recreate their python code in R. All was going well until I tried to implement their gradient penalty. What is Mathematica's equivalent to Maple's collect with distributed option? Hope this helps. I read the publication entitled "IMPROVED TRAINABLE CALIBRATION METHOD FOR NEURAL Have a question about this project? I am using a custom loss function. Already on GitHub? Can anyone help me understand why this error is occurring, and how I can fix it? 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? Connect and share knowledge within a single location that is structured and easy to search. layers.experimental.preprocessing.RandomCrop(280,280) Closed mtsokol opened this . I'm using Keras with TensorFlow 2.12.0 as the backend. Brief intro Look at this example: import tensorflow as tf x = tf.Variable(tf.random_uniform([3,1], -0.01, 0.01)) (KerasTensor(type_spec=TensorSpec(shape=(?, 30, 27), dtype=tf.float32, name='module_wrapper_1_input'), name='module_wrapper_1_input', description="created by layer 'module_wrapper_1_input'"))Instead, use tensor.ref() as the key. Do the 2.5th and 97.5th percentile of the theoretical sampling distribution of a statistic always contain the true population parameter? The text was updated successfully, but these errors were encountered: Hi, thanks for posting! I'm using tensorflow 2.3 and I'm having an issue when i try to call a function that returns a keras.Model . 1. AttributeError: module 'numpy' has no attribute 'float' with NumPy 1.20. We read every piece of feedback, and take your input very seriously. keras==2.4.3, Any help is much appreciated 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. NETWORKS ON MEDICAL IMAGING CLASSIFICATION" available at https://arxiv.org/pdf/2009.04057.pdf. Thank you @AdityaKane2001 and @tilakrayal. ValueError: Passed in object of type
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