Tensorflow find index of value. argmax can return the index of max value from a tensor.

May 27, 2023 · This tutorial contains an introduction to word embeddings. If the answer was useful please mark it an answer a lot of time goes into answering these questions ;) – 5 days ago · c = tf. float32. I accomplished this by using the function tf. output For all layers use this: from keras import backend as K inp = model. Additionally, if there is a better way to find the distance to the nearest neighbor in tensorflow for every point in a cluster that is computationally efficient, that would be extremely helpful. The only way to get the value of the variable is by running it in a session. In case of tie anything can be returned: Note that in case of ties the identity of the return value is not guaranteed. layers] # all layer outputs functors = [K. So, 1 row of zero has to be inserted in 5th index ( because first doc length is 4 ) . If you want to restore that model in another session you will have to rebuild the graph in that session. Variable in TensorFlow. nn. To si Nov 10, 2015 · The easiest [A] way to evaluate the actual value of a Tensor object is to pass it to the Session. less(t, tf. Jan 23, 2017 · Tensorflow, getting index of non-zero values for every row in a matrix. item()-your_tensor))<0. Delving deeper, we’ll explore how to leverage these operations for slicing, extracting, and inserting data within your tensors. Overview; ResizeMethod; adjust_brightness; adjust_contrast; adjust_gamma; adjust_hue; adjust_jpeg_quality; adjust_saturation; central_crop; combined_non_max_suppression Dec 17, 2016 · As @chris suggested, it may actually be faster just to do tf. python. reduce_max([s_idx, label_s_idx]) s_oh Jan 18, 2017 · You can easily get the outputs of any layer by using: model. How to get current available GPUs in tensorflow? 2. To keep the initial shape and just have zeros in some places, you can just do something like that: Nov 20, 2018 · There is nothin wrong with the output. May 21, 2021 · To check for incomplete values or other cases where feature value lists don't have the expected number of elements: Choose "Value list length" from the "Chart to show" drop-down menu on the right. output for layer in model. Repeat elements of input. ops. Jul 15, 2017 · tf. tf. boolean_mask(original_tensor, mask) to keep only the values that you want (you'll remove the other ones instead of setting them to 0). By my measurements, doing it separately is nearly twice as fast (0. I basically want the second output of numpy. 982349, shape=(), dtype=float32). constant([[1,2,3],[2,3,4],[3,4,5]]) How to get tensor ([[1,2],[ Nov 21, 2016 · Suppose I have a Tensor of shape (100,20). GradientTape() as tape: # Doing the computation in the context of the gradient tape # For example computing loss y = x ** 2 # Getting 5 days ago · If you don't, TensorFlow chooses a datatype that can represent your data. SparseTensor(indices, values, shape) Nov 7, 2018 · My current workaround changed point 4 of my question: Basically I changed that I compare the tuples instead of the single values. But is it possible to get the a new tensor that includes a range of [3 values before max, max, and 3 values after max] python Jul 19, 2019 · I am trying build predictive system into a MERN app. Mar 7, 2016 · Fortunately, the exact case you're asking about is supported in TensorFlow by tf. split() to split a tensor. js does not have the boolean_mask function. Tensor(0. unique (which currently only accepts 1D tensors, not sure why!) or tf. shape(a)[0]) body = lambda t, result: [t + 1 5 days ago · For example, you can generate training data from a list of sentences by choosing a word index to mask in each sentence, taking the word out as a label, and then replacing the chosen word with a mask token. If you use the newer tf. BatchDataset 0 How do I find the max value in a tensorflow dataset batch across a specific number of columns? Nov 9, 2018 · Assume to have a torch tensor, for example of the following shape: x = torch. random. values = [1. flatnonzero(x)] extract elements according to non-zero indices. where with tf. Setup import tensorflow as tf Does anyone know how to extract the top n largest values per row of a rank 2 tensor? For instance, if I wanted the top 2 values of a tensor of shape [2,4] with values: [[40, 30, 20, 10], [10, 20, Aug 8, 2020 · The index of the last occurrence of maximum values in [0,0,1,1,2,0] is 4, and the index of the last occurrence of maximum values in [0,1,0,0,0,2] is 5. where(tf. slice, tf. 3. np. TensorFlow APIs). 0]]) # Find the largest value print(tf. keras Jan 16, 2023 · I understand why this is happening as I didn't define values for 'op', 'value_index', and 'dtype' amd that tensorflow cant produce tensors. A plot of the Beale's function does look like this I would like to start at the point f(x=3. models import * from tensorflow. Here is the tutorial: TensorFlow tf. split(): Splits a Tensor into Sub Tensors – TensorFlow Tutorial. 36ms vs 0. Nov 5, 2021 · After the extraction, I want to add the max value to each value in the corresponding column. A tf. Can we update value in a tensor by its index? For here, the values will be array([[ 5, 4, 3],[10, 9, 8]],dtype=int32) After I do some operation on values, say prob=tf. E. sparse_slice to access by index which is simpler than using tf. data. constant([[4. 0001). Variable(0) with tf. import_meta_graph() then tf. images) of size (28, 28, 1), that are received in variable size of batches. How do I get the 0. pack in a way Anurag suggested (also extract the value 3 using tf. A python scripts are define-by-run programs, meaning anything once defined you can change/see values. gather():. the ideal output is [2,0] because the first value of y, 1, is at the index 2 of the first vector of m. Nov 3, 2021 · You can use Tensor. Matrix A is contains some values and matrix B contains indices. scatter_nd_update. 4. Here's a link for these operations. I don't know your specific application, but you probably want to ignore these values. Overview; ResizeMethod; adjust_brightness; adjust_contrast; adjust_gamma; adjust_hue I have three questions: Is there any way to extract maximum values and its indices from a 2D tensor? Suppose we have a tensor x = tf. Feb 3, 2018 · I want to find the index of the first occurrence of every unique element in x. I found two functions that could be useful. Therefore I started with the Beale's function. you can also make the value a little bit bigger or shorter than your row's number. Variables are created and tracked via the tf. abs((torch. Session() as sess: sess. softmax(c)) May 1, 2020 · Tensorflow arguments are actually chains of commands built up on top of each other, to get the actual value, you need to call the compute method (or whatever it's called, its been awhile) to get the actual value. I am new to Tensorflow and just followed this tutorial which gets relation between Horsepower and Miles per gallon. Apr 26, 2020 · I'd like to create another tensor with the same shape, filled with ones up until a certain column (might be different for each row) and the rest of it filled with another value (let's say 10 for the example). indices = [[1, 1]] # A list of coordinates to update. Basically I want to use flat_map function to create tensors with shape = (1,) and dtype = tf. run(). js tensor by a defined criteria, but TensorFlow. For example: Jul 23, 2018 · The easiest way to do this is to first reshape your tensor to be a 1D tensor, then use tf. May 6, 2016 · I'm having trouble understanding a basic concept with tensorflow. Returns the indices of non-zero elements, or multiplexes x and y. This way if your missing entries in a feature variable agree with missing target values you might keep more columns than just by removing everything with missing entries. – Jun 12, 2021 · I have two matrices. ravel()[np. How does indexing work for tensor read/write operations? In order to make this specific, how can the following numpy examples be translated to tensorflow (using tensors for the arrays, indices and values being assigned): Oct 23, 2022 · How to find Tensorflow max value index, but the value is repeat. Overview; LogicalDevice; LogicalDeviceConfiguration; PhysicalDevice; experimental_connect_to_cluster; experimental_connect_to_host; experimental_functions_run_eagerly What I would like to get in the end is the second smallest value in each row, in this case 2,2,2, and 2. What are the indices of the elements you are trying to extract for the first and second axes? Mar 6, 2017 · If given a matrix a with shape (5,3) and index array b with shape (5,), we can easily get the corresponding vector c through, c = a[np. gather( a, idx_keep ) which is almost equivalent to something like a[[0,1,3]] Overview; ResizeMethod; adjust_brightness; adjust_contrast; adjust_gamma; adjust_hue; adjust_jpeg_quality; adjust_saturation; central_crop; combined_non_max_suppression Jan 8, 2021 · The tensor is A_tensor,has shape [3,3,3] and I want get the last axis's value by index. arange(5), b] However, I cannot do the same thing with tenso Mar 23, 2024 · They are thus suitable for deployment via TensorFlow Serving, TensorFlow Lite, TensorFlow. I'm using tensorflow 1. TensorFlow converts Python integers to tf. May 20, 2017 · I will answer my own question, maybe someone will find it useful. import_graph_def() function, then you should pass the name of the variable in the return_elements optional argument, and a tensor will be returned (that you can then pass to sess. import tensorflow as tf s_idx = [1, 3, 5, 7] e_idx = [3, 4, 5, 8] label_s_idx = [2, 2, 3, 6] label_e_idx = [2, 3, 4, 8] # convert the variables to one-hot encoding # s_oh[i,j] = 1 if and only if s_idx[i] == j # analogous for e_oh s_depth = tf. Session(): block, or see below). Nov 16, 2017 · How to find the index of all the true value? My solution is: Turn it to 1 and 0 value ; Use argmax API to find one index and then set the one to false/0. import numpy as np from tqdm import tqdm import math import os from tensorflow. Then you can test it with the following process: Feb 22, 2022 · values = [1. Find indices of elements equal to zero in a PyTorch Tensor. By the way, you can use tf. So the answers like reverse and argmax are wrong. In this guide, you will learn how to use the TensorFlow APIs to: Extract slices from a tensor; Insert data at specific indices in a tensor Dec 5, 2018 · What you are trying to do is frequently done with tf. 0. value of it and use it as a normal float? Gather slices from params into a Tensor with shape specified by indices. run(tf. https://codelabs. The global minimum is at. If you want to do this in the tensorflow graph, you might have a look at tf. Find maximum absolute scalar value in list of tensors. we may have input shape of (-1, 28, 28, 1) which means we can input data (e. padding with -1, which is an invalid value, or having another vector indicating the number of valid indices on each row), or use a ragged tensor (a bit more complicated to Feb 23, 2018 · It is impossible to get value in constant access time because sparse tensor in Tensorflow is stored in COOrdinate format which does not have any efficient way to access by index or slice in O(1) time. dataset_ops. After that, 6 would be added to each value in the first three columns and 7 to each value in the last 2 columns. The second value of y, 2, is at the index 0 of the second vector of m. Try the code with all tensorflow. You can implement it using matrix operations as below. Jun 16, 2019 · A TensorFlow program doesn't execute like a normal python script. Session() as sess: print sess Jan 8, 2016 · values = [1. delta = tf. Mar 24, 2016 · It depends on the mechanism used for loading the model. gather_nd, and tf. keras imports. More info in the Mar 17, 2021 · We can find: we can use tensor index to slice a tensor and we will get a tensorflow strided_slice object. print((torch. z is a constant tensor, it can't be changed. argmax. 0) # TensorFlow operations executed within the context of # a GradientTape are recorded for differentiation with tf. js, or programs in other programming languages (the C, C++, Java, Go, Rust, C# etc. Dec 21, 2016 · I need to insert a row of zeros, in such a way that, here max doc length is 5. where() is expected to output a 2D tensor as quoted here: "The coordinates are returned in a 2-D tensor where the first dimension (rows) represents the number of true elements, and the second dimension (columns) represents the coordinates of the true elements" May 4, 2018 · Use tf. This guide covers training, evaluation, and prediction (inference) models when using built-in APIs for training & validation (such as Model. shape = [3, 3] # The shape of the corresponding dense tensor, same as `c`. If the question is confusing please let me know . pad() and mode "SYMMETRIC" - it would reflect the values on the edge, but if you do only 1 depth padding, it's equivalent to repeating the edge value. flatnonzero(A) return indices that are non-zero in the flattened A. The below code add something to a specific location within a tensor by indices (thanks to @mrry's answer here). This guide covers how to create, update, and manage instances of tf. numpy() method to convert tensorflow. 241. 0] # A list of values corresponding to the respective # coordinate in indices. input # input placeholder outputs = [layer. So What I want to get is [4, 5], any ideas how I can do that? Thanks. Sep 23, 2019 · Think again about what you are trying to achieve. Variable(3. gather, tf. rand(20, 1, 120, 120) What I would like now, is to get the indices of the maximum values of each 120x120 matrix. However TensorFlow programs are define-then-run. Variable x = tf. unique. TensorFlow first builds a computational graph and then executes parts of/whole graph using a Session object. Creates a sequence of numbers. In this example, the new value will be -inf, replicated N times where N = number of elements to be replaces = len(idx_replace) Create a vector with the values to be kept. keras. optimizers import Adam from tensorflow. Dec 11, 2015 · First of all you can assign values to variables/constants just by feeding values into them the same way you do it with placeholders. tolist() converts your variable to python list. My solution is making the number of n_epoch equal to your row's number of the dataset. Jun 6, 2021 · As @Frightera suggested, you are mixing keras and tensorflow. e. shape; Write your own op in C++, Jul 24, 2023 · Setup import tensorflow as tf import keras from keras import layers Introduction. The shape of matrix A and B is (batch, values) and (batch, indices), respectively. So, I need to use function predict_proba, that will return an array of values that contains probability. Write tensorflow by index. int32 and Python floating point numbers to tf. 0], [10. Dec 9, 2021 · How can I find the closest value in a tensor based on a specific value? For example, I have the following tensor: import tensorflow as tf closest_number = 2 t = tf. For instance, in the above example, the max value would be 6 for the first three columns and 7 for the last two columns. Use argmax again to find the next true/1 value; But this solution is not that good. After much hair pulling and teeth gnashing, cooked up the following, which essentially sums up the total number of true criteria, and then simply selects the topk values to create the subset tensor. This article explores various ways to index tensors: 1. in a with tf. Nov 24, 2018 · I also had the same problem with you. This functionality doesn't seem to be supported in tf. x. maximum of elements across dimensions of a tensor. Set values in row to zero Returns the constant value of the given tensor, if efficiently calculable. eval() when you have a default session (i. In tensorflow you first build a graph of nodes which shows what the computation is that should be performed, and then you execute this graph within the context of a session (which holds the state of the graph) to actually perform the computation. 9. ; There is no z[2,2], only z[2,0] and z[2,1]. May 19, 2017 · After dabbling around for quite a while. I have a tensor as follows and a numpy 2D array k = 1 mat = np. keras imports,. Is there a workaround to this in tensorflow, without using any loops? import tensorflow as tf # Here goes the neural network weights as tf. So this is perfectly legal to do: import tensorflow as tf x = tf. constant([[0, 2, 1], [0, 0, 8], [2, 9, 0]]), the desired output Gather slices from params axis axis according to indices. argmax does not return the first maximum. ). Mar 24, 2020 · I have 2 vectors a = [0 0 37 7 8 0 0] b = [0 0 4 37 8] I want to find indexes of values of b into a, so the output would look like c = [0 0 -1 2 4] How can I do this in Tensorflow ops Find the max value in tensorflow. developers. Zero all values except max in Tensorflow. argmax(c)) # Compute the softmax print(tf. Feb 29, 2024 · TensorFlow offers specialized operations like tf. constant(1) cond = lambda t, result: tf. top_k(row, len(row) - k Nov 22, 2019 · Create a vector with the values to be replaced. ; But assuming you want to change z to a variable and fix the indices, it can be done this way: Creates a constant tensor from a tensor-like object. gather_nd() which might be useful if you can produce a tensor of the form [[0, 0], [1, 1]] and thereby you could do Jul 28, 2021 · I know the tf. argmax(one_hot_vector, axis=0) Mar 28, 2022 · For floating point tensors, I use this to get the index of the element in the tensor. 2. result = x_t * tf. Otherwise TensorFlow uses the same rules NumPy uses when converting to arrays. index = tf. float64 such that when I run the below code the printed tensors look like: Computes tf. How to obtain now a Tensor of shape (100,) or (100,1) with per row (100 rows) the right value (select Jun 19, 2018 · While doing some calculations I end up calculating an average_acc. This leads to me beeing able to logically check if both, index AND value are in the remaining values from 3. My goal is to select values from matrix A based on indices of matrix B along the batch dimension. For example, my array's shape is 461*5, the value of the n_epoch is 461. 0, y=4. However, that is most times not the right way to do it, you should not need a variable, just another tensor produced from the original tensor with some replaced values. How can I do somthing like above Numpy operations in Tensorflow with Sep 19, 2017 · You can't do meaningful computations with nan values. Look at the chart to the right of each feature row. reduce_max(c)) # Find the index of the largest value print(tf. 1. May 24, 2019 · The problem is that result is not a proper tensor, because each row does not have the same number of columns. unique(x,return_index=True). gather(e_t, x_t) with tf. 0, 5. run() method, or call Tensor. run(x, feed_dict={x: 3}) Overview; LogicalDevice; LogicalDeviceConfiguration; PhysicalDevice; experimental_connect_to_cluster; experimental_connect_to_host; experimental_functions_run_eagerly You can find out the index of the largest element in the matrix using tf. May 28, 2019 · Did you tested your installations (cuda, cudnn, tensorflow-gpu) ? Test cuda: Check first if: $ nvcc -V display the right version of your cuda toolkit. Seems couldn't find right function in tensorflow to do this. Then 2 row of zeros at index 9 and 10 ( second doc length is 3 ) and so on . In the FAQ it is written that:. nonzero()) Here I want to get the index of max_value in the float tensor, you can also put your value like this to get the index of any elements in tensor. 98. 65ms for a (20x30x40 array along axis 1), but that may be because my implementation of tf_select_along_axis is not as great as it could be. Now I also have a Tensor of indices of shape (100,). One is tf. equal(b, a[0])) t = tf. 5 days ago · A TensorFlow variable is the recommended way to represent shared, persistent state your program manipulates. You can cast from type to type. is_nan, tf. 0, 1. max(your_tensor). function([inp, K. Variable objects, then the line session. 0) How do I implement this in TensorFlow with optimization algorithms? My first try looks like this Nov 18, 2015 · Was looking for similar capability to reduce a TensorFlow. If you need more padding, you have to repeat the operation, but you can go exponentially (1 first, then 2, then 4, etc. predict()). Slicing Aug 30, 2016 · Nonzero values: [1,4] Nonzero indices: [[0,0],[1,1]] There are similar operations in Numpy. Overview; ResizeMethod; adjust_brightness; adjust_contrast; adjust_gamma; adjust_hue May 8, 2016 · tensorflow find index of the last occurrence of maximum value in a tensor. Here is some code that does it both ways. scatter_nd to empower you with various tensor indexing tasks. global_variables_initializer()) print sess. Finds values and indices of the k largest entries for the last dimension. unique_with_counts (depending on whether you also need the counts of the unique elements), and then, if you also need the indices of the unique values to have the same shape as the original tensor, you can reshape also the indices. . Meanwhile, we also can use tf. layers[index]. (deprecated arguments) Jun 21, 2016 · First shape dimension of -1 at input layer refer to batch size which may be variable. The output should be [0, 1, 6, 4, 2]. Dec 11, 2017 · Given a matrix and vector， I want to find the indices of the values in the corresponding rows of the matrix. Variable represents a tensor whose value can be changed by running ops on it Oct 18, 2021 · How to find Tensorflow max value index, but the value is repeat. run(init) will fail because TensorFlow isn't (yet) smart enough to figure out the dependencies in variable initialization. In my code, 500 or 400 is also useful. array([[1,2],[3,4],[5,6]]) for row in mat: values_zero, indices_zero = tf. g. If you want something like that, you can either have that result "padded" to make all rows the same lengths (e. argmax separately. A Tensor object is a symbolic handle to the result of an operation, but does not actually hold the values of the operation's output. If you use the lower level tf. Jul 20, 2017 · Try the sample below. Jan 3, 2020 · To trade time for space: result = tf. You will train your own word embeddings using a simple Keras model for a sentiment classification task, and then visualize them in the Embedding Projector (shown in the image below). gather. trainable_variables() should work. train. Aug 31, 2018 · I could not find a function designed for this operation. layers import * from tensorflow. metrics import categorical_crossentropy from tensorflow. Mar 15, 2016 · It's not 100% clear from the code example, but if the list initial_parameters_of_hypothesis_function is a list of tf. math. softmax(values), how should I assign this value to A according to indices? which is similar to numpy A[indices] = prob. argmax can return the index of max value from a tensor. This guide covers APIs for writing and reading checkpoints. How to get the maximum and secondary maximum values of each row in a matrix in tensorflow? 2. . fit(), Model. Variable class. The chart shows the range of value list lengths for the feature. Oct 1, 2020 · I recommend at first to drop all rows with NAN values in target variable, and then remove columns with remaining NAN values among other variables. Tensor May 13, 2017 · You can use tf. reduce_max and tf. Since your one hot vector will be one dimensional and will have just one 1 and other 0s, This will work assuming you are dealing with a single vector. normal((5, 2)) tf. where, tf. js? 1 use tensorflow to get value from a value tensor by index tensor Feb 17, 2018 · What you exactly ask is not possible for two reasons:. Jul 22, 2017 · I try to implement a visualization for optimization algorithms in TensorFlow. Nov 14, 2015 · In TensorFlow, there is a diag function, Use tf. SparseTensor(indices, values, shape) Jun 18, 2021 · How to find Tensorflow max value index, but the value is repeat. evaluate() and Model. When I try to print it, it outputs: tf. learning_phase()], [out]) for out in outputs] # evaluation functions # Testing test = np. Tensor to numpy array or if you don't want to work with numpy representation Tensor. How do I do that in Tensorflow? A_tensor =tf. SparseTensor(indices, values, shape) Apr 17, 2018 · How to get an element from a specific index, where index is a scalar tensor with TensorFlow. random(input_shape)[np Oct 12, 2017 · What saved variable? When save a model, it only saves the values assigned to each tensorflow value in the current session. numpy(). boolean_mask. wl bo oo kx xs fl xg rv yt xy