Convert tensor to numpy array keras. A simple conversion is: x_array = np.

Convert tensor to numpy array keras A "symbolic tensor" can be understood as a placeholder – it does not contain any actual numerical data, only a shape and dtype. eval () and keras. sparse Whether to keep sparse tensors. random. How can I to convert this 3D numpy array (128, 128, 3) in a 4D (?, 128, 128, 3) tensor? Oct 16, 2018 · Thanks Matias, so firstly the shape is (2048, ), I want to reshape it to (10, 2048), then convert it to numpy array. Additionally, tf. 9. ---This video is Aug 14, 2021 · I converted a file to dataframe with pandas and now I would like to train a Deep Learning model via TensorFlow. numpy (), tensor. import tensorflow as tf Step 2: Create a Sample Tensorflow tensor. To solve the error, convert the values in the list/array to float32 numbers before Jul 4, 2020 · Fitting Keras Sequential Model gives ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy. data. Aug 16, 2024 · Assuming you have an array of examples and a corresponding array of labels, pass the two arrays as a tuple into tf. Usage op_convert_to_tensor(x, dtype = NULL, sparse = NULL, ragged = NULL) Arguments Jul 25, 2020 · I trying to feed a keras model tensor with numpy array values. make_ndarray( tensor ) Create a numpy ndarray with the same shape and data as the tensor. img_to_array( img, data_format=None, dtype=None ) Used in the notebooks May 5, 2023 · The Keras Tensor cannot be converted to Numpy array directly, You can please try to convert the Keras tensor to Tensor and from the Tensor you can convert to the numpy. However, I am having problems converting the Keras tensor to the TensorFlow Tensor. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported The software versions: Python 3. device_name, dtype) 99 100 ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy. T, ndarray. Jun 12, 2025 · We are given a NumPy array, and our task is to convert it into a TensorFlow tensor. using to_list()). Thanks for your help! Apr 6, 2020 · It gave me an error saying : ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type list). stack in TensorFlow 1. 0) method for this purpose. Conversely, TensorFlow tensors can be converted back to NumPy arrays using the . 21. add, tf. My model: ` model = tf. May 19, 2018 · We now use TensorArray. This blog post will delve into the fundamental concepts, usage methods, common practices, and best practices of converting tensors to NumPy arrays. Is there a way i can convert the incoming tensors into a numpy array so i can compute m Sep 22, 2020 · I tried using the below code to get the output of a custom layer, it gives data in a tensor format, but I need the data in a NumPy array format. By understanding the fundamental concepts, usage methods in different frameworks, common practices, and best practices, you can efficiently perform this conversion and integrate the results into your data analysis and visualization workflows. Aug 28, 2021 · Introduction NumPy is a hugely successful Python linear algebra library. Aug 16, 2024 · Tensors A Tensor is a multi-dimensional array. Is there any way to convert it to numpy array? Convert a NumPy array to a tensor. This two-way conversion forms the backbone of seamless interoperability. If None, the type of x is used. This conversion is crucial as it allows leveraging the full power of TensorFlow’s operations. Numpy Review A library that supports large, multi-dimensional arrays and matrices and has a large collection of high-level mathematical functions to operate on these arrays Oct 1, 2020 · You'll need to complete a few actions and gain 15 reputation points before being able to upvote. Arguments x: A NumPy array, Python array (can be nested) or a backend tensor. Any sort of help would be GREATLY appreciated. Oct 21, 2021 · But Keras states NotImplementedError: Cannot convert a symbolic Tensor (custom_layer/strided_slice:0) to a numpy array. backend (Keras Backend Documentation). I tried: keras_array = K. Mar 18, 2018 · I am trying to build a custom loss function in keras. Let’s import it using the import statement. But the output of LRP is in keras tensor. Oct 16, 2018 · Thanks Matias, so firstly the shape is (2048, ), I want to reshape it to (10, 2048), then convert it to numpy array. They are frequently used to load and transform data before it is sent into the model. How to convert a loaded image to a NumPy array and back to PIL format using the Keras API. Answer by Erik Ramos To convert numpy array to tensor,,The reason is that the weights is numpy array, not tensor. 4. I tried to convert the tensor to NumPy array but getting errors, I have followed this post, but it wasn't helpful Can anyone share some thoughts, any advice will be very helpful Sep 5, 2021 · It receives a function as argument and will automatically convert tensors to numpy arrays before passing into the function and convert the outputs of the function back to tensors. You have to feed it something so it can print it. But the tensor is 4D and the array is 3D. What's reputation and how do I get it? Instead, you can save this post to reference later. array(data. Lastly, as a debug pro-tip, print ALL Jul 5, 2022 · ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float). MaxPooling1D(), tf. axis may be negative, in which case it counts for the last to All standard Python op constructors apply this function to each of their Tensor-valued inputs, which allows those ops to accept numpy arrays, Python lists, and scalars in addition to Tensor objects. math operations convert Python objects and NumPy arrays to tf. 0. randint(0,256, (300,400,3)) random_image_tensor = tf. I found the reason for error its becuase of X_train. Jan 4, 2016 · The philosophy is that TensorFlow should just be a core math library, but other open source libraries can provide additional abstractions used for machine learning. I have this guess which may or may not help. Finally we take the tensor and run it through a session. Oct 21, 2019 · I tried to add a SimpleRNN layer to my model and I received a similar error (NotImplementedError: Cannot convert a symbolic Tensor (SimpleRNN-1/strided_slice:0) to a numpy array) with Python 3. What are Python Tensors and NumPy arrays? Feb 2, 2025 · The easiest and most common way to convert a NumPy array into a tensor is by using torch. I am working on a project in which I am using layer wise relevance propagation to get the relevances of each input. matmul, and tf. could anyone please tell me how to solve this problem?? advance thanks! Aug 15, 2024 · You can convert a tensor to a NumPy array either using np. Tensor s to iterables of NumPy arrays and NumPy arrays, respectively. This method creates a tensor that directly shares memory with the NumPy array. numpy. array([1, 2, 3]), and transform it into a tensor format suitable for high-performance computations. math. Dataset. array, as the former converts data into 2D matrix while latter is nested arrays X = np. Oct 15, 2020 · Augmentation function is meant to map over a batch of images and masks, taking in samples one at a time, converting them to NumPy arrays, performing some sort of augmentation, then returning them back as tensors. vstack instead of using np. numpy method: May 5, 2023 · 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: import tensorflow as Oct 10, 2024 · The problem’s rooted in using lists as inputs, as opposed to Numpy arrays; Keras/TF doesn’t support former. 1 Keras 2. Once you have the tensor, then you can proceed to get the numpy array out of it. InteractiveSession() evaluated_tensor = random_image_tensor. 5. Feb 17, 2025 · Using NumPy Arrays in TensorFlow NumPy arrays can be directly converted to TensorFlow tensors using the tf. Steps to implement: Jun 8, 2021 · How to convert a keras tensor to a numpy array Asked 3 years, 10 months ago Modified 3 years, 9 months ago Viewed 786 times May 14, 2023 · I have been trying to convert a Tensorflow tensor to a Pytorch tensor. pack(random_image) tf. array or the tensor. since python is a dynamic language, a lot can be done using very little, hence the process for converting a tensor into a numpy array is pretty simple and hassle free. . Not the answer you’re looking for? Browse other questions tagged numpy keras or ask your own question. Tensor. Tensor s can reside in accelerator memory (like a GPU). vstack(encoded_ses) Sep 27, 2021 · TypeError: Cannot convert a symbolic Keras input/output to a numpy array. Oct 31, 2019 · The problem's rooted in using lists as inputs, as opposed to Numpy arrays; Keras/TF doesn't support former. Mar 2, 2021 · ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float). One particularly frustrating issue is the ValueError: Failed to convert NumPy array to Tensor (Unsupported object type float) —especially when you’ve already verified that the shapes of your input features (X) and target labels (y) are correct. utils. EagerTensor(value, ctx. Of course, i converted the Labels (X) and the features (Y) to np. We will dive into the different methods and techniques to perform this conversion. Jun 8, 2025 · Convert an array to a tensor. So how to convert numpy array to keras tensor? In raw keras it should be done replacing import tensorflow. FALSE will cause ragged tensors to be densified Converts a 3D NumPy array to a PIL Image instance. Oct 16, 2025 · Conclusion Converting tensors to NumPy arrays is a common operation in data science and machine learning. eval() UPDATE: to convert a Python object to Dec 20, 2024 · When working with TensorFlow, a popular open-source library for machine learning and deep learning, you might encounter a common error message: "ValueError: Cannot convert a symbolic Tensor. Since the sentences are of different sizes maybe converting them to tensor is not OK and maybe they should be converted to lists with fixed sizes. Thanks! Mar 17, 2021 · AttributeError: 'KerasTensor' object has no attribute 'numpy' So this method is for another type of tensor rather than KerasTensor. Feb 3, 2021 · Failed to convert a NumPy array to a Tensor (Unsupported object type int) Asked 4 years, 2 months ago Modified 4 years, 2 months ago Viewed 600 times When training models using TensorFlow or Keras, you might encounter a ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float). inv) that consume and produce tf. Method 1: Using TensorFlow TensorFlow provides a straightforward method to convert NumPy arrays to tensors. So how to convert numpy array to keras tensor? In this blog, we will explore the process of converting a Numpy array to a Keras tensor. Description Convert a tensor to an R or NumPy array. tf. The default (axis=None) is to perform a logical AND over all the dimensions of the input array. (Tensorflow - ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type You can use tf. predict(data). layers. False will cause sparse tensors Feb 20, 2024 · This article illustrates the conversion process, demonstrating how to take a NumPy array, such as np. Tensor s. It is an alias to tf. 0 Numpy 1. " This error typically arises when you May 15, 2023 · Because of this, I am trying to convert this Keras tensor to a Tensorflow tensor then to a numpy array then to a Torch Tensor. A simple conversion is: x_array = np. 7 Tensorflow 2. The next step's to ensure data is fed in expected format; for LSTM, that'd be a 3D tensor with dimensions (batch_size, timesteps, features) - or equivalently, (num_samples, timesteps, channels). from_numpy(). I have also tried using tensor. x and 2. Create a numpy ndarray from a tensor. This is applicable when you are sure that the tensor you are dealing with is eager and does not partake in the computational graph. numpy method returns the object's value as a NumPy ndarray. A "Keras tensor" is a symbolic tensor, such as a tensor that was created via Input(). This error may indicate that you're trying to pass a symbolic value to a NumPy call, which is not supported. ndarray). Convert a tensor to an R or NumPy array. So we need tf. variable(value = output) So the main idea is to implement a custom layer, that takes tensors, convert them to numpy arrays, operate on them with numpy operations, then convert the output to a tensor. However, I'm having trouble converting the KerasTensor to either a numpy array or a TensorFlow Dec 20, 2024 · In this example, we take a randomly generated multidimensional NumPy array, convert it into a TensorFlow tensor, serialize it, and finally convert it back to check for consistency between the original and converted data. g. Feb 20, 2023 · I am trying to train an LSTM model using sequences of numbers for a binary classification task. sparse: Whether to keep sparse tensors. from_tensor_slices to create a tf. How to convert NumPy array to Keras tensor? The reason is that the weights is numpy array, not tensor. eval(input_layer) numpy_array = np. RaggedTensor s are left as-is for the user to deal with them (e. 2 Any help would be appreciated, thanks! Feb 18, 2020 · ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float) Asked 5 years, 2 months ago Modified 5 years, 2 months ago Viewed 6k times Converts a PIL Image instance to a NumPy array. While TensorFlow operations automatically convert NumPy arrays to Tensors and vice versa, you can explicitly convert the tensor object into the NumPy array like this: Oct 6, 2021 · shuffle=True, batch_size=16, epochs=10, verbose=2) But, I Immediately get the following error: "ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type list). It really depends on what you're using it for; There is probably a better way using plain tf. I don't want to pad the sequences and for this reason I set batch_size = 1. backend. Description Native tensors for the current backend or left unchanged unless the dtype, sparse or ragged arguments are set. Jul 6, 2020 · It's similar to the old tf. Mar 4, 2021 · ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy. I have turned run eagerly to true. It can be used for building Functional models, but it cannot be used in actual computations. I am getting this error! this is a data frame that predicts if a person survived or not. concat() to convert the whole array into a single tensor. View aliases tf. #76309 New issue Closed Dec 4, 2024 · Learn how to easily convert a TensorFlow tensor to a NumPy array for seamless integration with your Python data science workflows. The numpy() method returns a NumPy array with the same shape and elements as the tensor. Apr 26, 2024 · as_numpy converts a possibly nested structure of tf. I don't succeed to train the model: after dividing in training and test set, when I g Jan 23, 2024 · Solution 1: Convert Tensors to NumPy with . What is Numpy Numpy is a popular Python library for scientific computing that provides efficient Keras documentation: Core opsConvert a NumPy array or Python array to a tensor. asarray(x_list). numpy() method. Sep 5, 2021 · You need to convert the symbolic tensor to a tensor by first feeding the network with the data. Tensor (with no luck). pack (tf. However when we do this the whole dataset becomes flattened into a 1-D array. Similar to Theano which has libraries like Pylearn2 built on top. Note: This function diverges from default Numpy behavior for float and string types when None is present in a Python list or scalar. arrays () Sep 2, 2021 · The TensorFlow tf. x. Jun 8, 2021 · 21 When using the keras model to do predict, I got the error below AttributeError: 'Tensor' object has no attribute 'ndim' The reason is that the weights is numpy array, not tensor. How to convert a loaded image to grayscale and save it to a new file using the Keras API. If you need to use additional numpy arrays, convert them to tensors via the variable method of keras. backend as K with from keras import backend as K. Native tensors for the current backend or left unchanged unless the dtype, sparse or ragged arguments are set. Mar 23, 2022 · 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. as_numpy_iterator()) to get your numpy array; Its not as efficient as using generators though. At first glance, this Jun 13, 2023 · Here are some of the most common methods: Using the numpy () Method The simplest way to convert a tensor to a NumPy array in TensorFlow is to use the numpy() method of the tensor object. as_datatype_enum 97 ctx. Tensor objects have a data type and a shape. If you want to avoid copy operations you can use the queue-based data access functionality rather than feeding placeholders. Dec 20, 2024 · The convert_to_tensor function is designed to convert various data structures such as lists, tuples, or NumPy arrays into TensorFlow tensors. device_name, dtype) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type list). convert_to_tensor function. Returns whether x is a Keras tensor. Dataset s and tf. Tensor objects. placeholder, there's no data in your tensor, so nothing to convert to a numpy array. TensorFlow offers a rich library of operations (for example, tf. keras. FALSE will cause sparse tensors to be densified. shape[0],)), tf. vstack(padded_encoded_essays) Y = np. Similar to NumPy ndarray objects, tf. Usage op_convert_to_numpy(x) op_convert_to_array(x) Arguments x A tensor. dtype The target type. ragged Whether to keep ragged tensors. I have tried converting KerasTensor to tf. experimental. Oct 11, 2022 · return ops. as_numpy_iterator()) did not really work. shape its output is (21,) i shoud get something simliar to like (21, 100, 100, 3) How can i convert that? Jul 5, 2019 · After completing this tutorial, you will know: How to load and display an image using the Keras API. First create an ND array object, and then invoke different Jun 8, 2025 · Convert a tensor to an R or NumPy array. array(keras_array) pytorch_ten Jan 17, 2020 · I know this problem has been answered previously in the link below,but it does not apply to my situation. dtype: The target type. numpy() # Wait until after fitting the model to convert to numpy Sep 23, 2024 · ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type int). TensorFlow recently launched tf_numpy, a TensorFlow implementation of a large subset of the NumPy API. ravel and others. For example, converting [ [1, 2], [3, 4]] results in a TensorFlow object that looks like: May 5, 2023 · The Keras Tensor cannot be converted to a Numpy array directly, You can please try to convert the Keras tensor to Tensor and from the Tensor you can convert to the numpy. Unfortunately i have little knowledge with tensor flow. 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. " Is there anything explicitly wrong with my model setup? Is it ok for me to simply be using a nested list of lists as the input examples? Jun 14, 2023 · In the preprocessing stage of deep learning models, arrays, particularly NumPy arrays, are often employed. ndarray, called ND Array, represents a multidimensional dense array of a given dtype placed on a certain device. axis: An integer or tuple of integers that represent the axis along which a logical AND reduction is performed. Here is how to pack a random image of type numpy. Upvoting indicates when questions and answers are useful. My data looks like this Dec 3, 2021 · And I get the following error: NotImplementedError: Cannot convert a symbolic Tensor (lstm_8/strided_slice:0) to a numpy array. I have posted the error. reshape, ndarray. May 11, 2023 · np_array = model. Aug 15, 2024 · An instance of tf. LSTM(128,activation Arguments x An R or NumPy array (can be nested) or a backend tensor. np. This is useful when integrating NumPy-based data with TensorFlow pipelines, which support acceleration using GPU and TPU. Nov 24, 2020 · 96 dtype = dtypes. Convert a tensor to a NumPy array. So how to convert numpy array to keras tensor?,Thanks for contributing an answer to Stack Overflow!, Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers Nov 7, 2022 · Failed to convert a NumPy array to a Tensor (Unsupported object type float) in Python Ask Question Asked 3 years ago Modified 3 years ago Oct 7, 2022 · How to convert a keras tensor to a numpy array inside custom layer (backpropagation through layer is unnecessary) Asked 3 years ago Modified 2 years, 4 months ago Viewed 651 times Oct 20, 2020 · I Have a list of matrix with shape(2,30000), I need to pass this info as an input of a deep learning model with tensorflow using a conv layer, but when I tried to pass this for training all the tim Mar 26, 2023 · The main differences between numpy arrays and tensors in TensorFlow have also been discussed in this tutorial for a thorough understanding of both. Sequential([ tf. Thanks to tf_numpy, you can write Keras layers or models in the NumPy style! The TensorFlow NumPy API has full integration with the TensorFlow ecosystem. ensure_initialized() ---> 98 return ops. If NULL, the type of x is used. Aug 17, 2021 · Try np. Feb 22, 2022 · I am trying to convert "KerasTensor" into numpy array. Includes practical examples for data scientists and machine learning developers. Jul 9, 2021 · I have the following simple image data generator in Keras: import tensorflow as tf import numpy as np import cv2 class My_Custom_Generator(tf. In my example, I am creating a Class wrapping dynamic-sized, per-time-step, Tensor arrays. Nov 30, 2017 · And then, I would just convert the output of my layer to a tensor with: Keras. Embedding(words,embed_size,input_shape =(x_train. numpy () One straightforward solution is to convert the TensorFlow tensor into a NumPy array using the . Arguments x: Input tensor. Conv1D(128,3,activation = 'relu'), tf. Dec 30, 2021 · Isn't there an easier way? @Steradiant -- You could always use np. as_dtype(dtype). ndarray into a Tensor: import numpy as np import tensorflow as tf random_image = np. May 5, 2023 · I have a KerasTensor object with shape (None, 128, 128, 1) that I need to pass to an OpenCV function. The first step is to import the required library and it is Tensorflow. Check out the ND array class for useful methods like ndarray. Jun 16, 2022 · In this article, we will be discussing various ways we can convert a Python tensor to a NumPy array. Now let’s create a sample tensor for implementing the conversion to the NumPy array. bac Jun 9, 2025 · Learn how to convert TensorFlow tensors to NumPy arrays using simple methods. The default value of NULL means that sparse tensors are kept only if the backend supports them. linalg. Dec 4, 2015 · How to convert a tensor into a numpy array when using Tensorflow with Python bindings? Keras documentation: NumPy opsTest whether all array elements along a given axis evaluate to True. Which is caused by projected_verts depending on the input (symbolic tensor). Mar 23, 2025 · Discover how to convert a Keras tensor to a Numpy array within a custom layer without backpropagation complications in TensorFlow and Keras. Note that because TensorFlow has support for ragged tensors and NumPy has no equivalent representation, tf. The tf. reshape() to get it back into our original tensor's shape, plus an extra dimension to stack them all. For example: Apr 12, 2024 · # ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float) The Tensorflow "ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float)" occurs when you try to convert a Python list or a NumPy array that doesn't contain all float values to a Tensor. ndarray) Asked 5 years, 4 months ago May 6, 2022 · Tensors and NumPy The key difference between tensors and NumPy arrays is that tensors have accelerator support like GPU and TPU and are immutable. Mar 10, 2018 · Your loss function should use Keras tensors, not the numpy arrays they evaluate to. Example: Conversion Between NumPy and Nov 17, 2022 · 103 104 ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy. Dec 5, 2024 · Explore effective methods for converting tensors to NumPy arrays in TensorFlow, including practical examples and tips for TensorFlow 1. Nov 13, 2025 · If you’ve worked with Keras for building machine learning models, you’ve likely encountered your fair share of errors. Oct 16, 2025 · Converting tensors to NumPy arrays is a common operation when we want to utilize the rich functionality of NumPy libraries or integrate deep learning models with existing NumPy - based code. Converting Numpy arrays to TensorFlow tensors is essential for seamlessly integrating Numpy data with TensorFlow models. Sequence) : def __init__(self, Steps to Convert Tensorflow Tensor to Numpy array Step 1: Import the required libraries. dscuj uwfv qcznlv xhjs fztzln geqsi kygiv denv omzdy gwmy gcn llmkg kqadi ubw kmyk