Tensorflow find index of value. You can cast from type to type.
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. run(init) will fail because TensorFlow isn't (yet) smart enough to figure out the dependencies in variable initialization. If the answer was useful please mark it an answer a lot of time goes into answering these questions ;) – import tensorflow as tf # Here goes the neural network weights as tf. the ideal output is [2,0] because the first value of y, 1, is at the index 2 of the first vector of m. If the question is confusing please let me know . maximum of elements across dimensions of a tensor. where with tf. 0) # TensorFlow operations executed within the context of # a GradientTape are recorded for differentiation with tf. Session() as sess: print sess Creates a sequence of numbers. The second value of y, 2, is at the index 0 of the second vector of m. run(tf. predict()). TensorFlow APIs). layers import * from tensorflow. SparseTensor(indices, values, shape) Dec 11, 2017 · Given a matrix and vector, I want to find the indices of the values in the corresponding rows of the matrix. May 19, 2017 · After dabbling around for quite a while. Jun 18, 2021 · How to find Tensorflow max value index, but the value is repeat. Then you can test it with the following process: 5 days ago · c = tf. 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. images) of size (28, 28, 1), that are received in variable size of batches. Find indices of elements equal to zero in a PyTorch Tensor. split(): Splits a Tensor into Sub Tensors – TensorFlow Tutorial. constant([[0, 2, 1], [0, 0, 8], [2, 9, 0]]), the desired output Oct 12, 2017 · What saved variable? When save a model, it only saves the values assigned to each tensorflow value in the current session. SparseTensor(indices, values, shape) 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. trainable_variables() should work. shape; Write your own op in C++, Mar 24, 2016 · It depends on the mechanism used for loading the model. float32. global_variables_initializer()) print sess. Overview; LogicalDevice; LogicalDeviceConfiguration; PhysicalDevice; experimental_connect_to_cluster; experimental_connect_to_host; experimental_functions_run_eagerly Jul 23, 2018 · The easiest way to do this is to first reshape your tensor to be a 1D tensor, then use tf. Variable class. In the FAQ it is written that:. is_nan, tf. 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. python. output for layer in model. ravel()[np. slice, tf. Variable represents a tensor whose value can be changed by running ops on it May 6, 2016 · I'm having trouble understanding a basic concept with tensorflow. So, I need to use function predict_proba, that will return an array of values that contains probability. where, tf. This article explores various ways to index tensors: 1. random. A python scripts are define-by-run programs, meaning anything once defined you can change/see values. 3. For example, my array's shape is 461*5, the value of the n_epoch is 461. To keep the initial shape and just have zeros in some places, you can just do something like that: Feb 22, 2022 · values = [1. 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" Nov 3, 2021 · You can use Tensor. in a with tf. Session(): block, or see below). numpy(). So What I want to get is [4, 5], any ideas how I can do that? Thanks. run() method, or call Tensor. Computes tf. 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 Returns the indices of non-zero elements, or multiplexes x and y. In my code, 500 or 400 is also useful. After that, 6 would be added to each value in the first three columns and 7 to each value in the last 2 columns. My solution is making the number of n_epoch equal to your row's number of the dataset. The only way to get the value of the variable is by running it in a session. argmax can return the index of max value from a tensor. layers[index]. ; But assuming you want to change z to a variable and fix the indices, it can be done this way: Dec 17, 2016 · As @chris suggested, it may actually be faster just to do tf. My goal is to select values from matrix A based on indices of matrix B along the batch dimension. rand(20, 1, 120, 120) What I would like now, is to get the indices of the maximum values of each 120x120 matrix. 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 29, 2024 · TensorFlow offers specialized operations like tf. Jan 18, 2017 · You can easily get the outputs of any layer by using: model. result = x_t * tf. The shape of matrix A and B is (batch, values) and (batch, indices), respectively. 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). flatnonzero(A) return indices that are non-zero in the flattened A. Jun 16, 2019 · A TensorFlow program doesn't execute like a normal python script. 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. Here's a link for these operations. 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 Jul 20, 2017 · Try the sample below. Find the max value in tensorflow. Now I also have a Tensor of indices of shape (100,). shape(a)[0]) body = lambda t, result: [t + 1 Nov 20, 2018 · There is nothin wrong with the output. x. top_k(row, len(row) - k 5 days ago · A TensorFlow variable is the recommended way to represent shared, persistent state your program manipulates. Slicing Nov 9, 2018 · Assume to have a torch tensor, for example of the following shape: x = torch. e. Variable x = tf. Nov 21, 2016 · Suppose I have a Tensor of shape (100,20). abs((torch. GradientTape() as tape: # Doing the computation in the context of the gradient tape # For example computing loss y = x ** 2 # Getting You can find out the index of the largest element in the matrix using tf. constant([[4. Variable in TensorFlow. 982349, shape=(), dtype=float32). 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. https://codelabs. If you want to restore that model in another session you will have to rebuild the graph in that session. 36ms vs 0. argmax does not return the first maximum. 2. (deprecated arguments) Aug 30, 2016 · Nonzero values: [1,4] Nonzero indices: [[0,0],[1,1]] There are similar operations in Numpy. Mar 17, 2021 · We can find: we can use tensor index to slice a tensor and we will get a tensorflow strided_slice object. This leads to me beeing able to logically check if both, index AND value are in the remaining values from 3. Here is some code that does it both ways. Jan 23, 2017 · Tensorflow, getting index of non-zero values for every row in a matrix. 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. 0, 1. js? 1 use tensorflow to get value from a value tensor by index tensor Jun 21, 2016 · First shape dimension of -1 at input layer refer to batch size which may be variable. print((torch. 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. If you want to do this in the tensorflow graph, you might have a look at 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). Overview; LogicalDevice; LogicalDeviceConfiguration; PhysicalDevice; experimental_connect_to_cluster; experimental_connect_to_host; experimental_functions_run_eagerly May 13, 2017 · You can use tf. 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. dataset_ops. So the answers like reverse and argmax are wrong. Is there a workaround to this in tensorflow, without using any loops? 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. Seems couldn't find right function in tensorflow to do this. constant([[1,2,3],[2,3,4],[3,4,5]]) How to get tensor ([[1,2],[ Jan 3, 2020 · To trade time for space: result = tf. SparseTensor(indices, values, shape) 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. run(). How do I do that in Tensorflow? A_tensor =tf. Mar 7, 2016 · Fortunately, the exact case you're asking about is supported in TensorFlow by tf. 0, 5. argmax(c)) # Compute the softmax print(tf. 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. keras imports. softmax(c)) 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. ). Variable(0) with tf. max(your_tensor). sparse_slice to access by index which is simpler than using tf. Overview; ResizeMethod; adjust_brightness; adjust_contrast; adjust_gamma; adjust_hue; adjust_jpeg_quality; adjust_saturation; central_crop; combined_non_max_suppression Gather slices from params into a Tensor with shape specified by indices. gather():. Here is the tutorial: TensorFlow tf. Overview; ResizeMethod; adjust_brightness; adjust_contrast; adjust_gamma; adjust_hue May 24, 2019 · The problem is that result is not a proper tensor, because each row does not have the same number of columns. 0] # A list of values corresponding to the respective # coordinate in indices. Delving deeper, we’ll explore how to leverage these operations for slicing, extracting, and inserting data within your tensors. argmax. Gather slices from params axis axis according to indices. You can cast from type to type. data. Tensor Mar 23, 2024 · They are thus suitable for deployment via TensorFlow Serving, TensorFlow Lite, TensorFlow. pack in a way Anurag suggested (also extract the value 3 using tf. we may have input shape of (-1, 28, 28, 1) which means we can input data (e. 1. Oct 18, 2021 · How to find Tensorflow max value index, but the value is repeat. shape = [3, 3] # The shape of the corresponding dense tensor, same as `c`. where(tf. When I try to print it, it outputs: tf. constant(1) cond = lambda t, result: tf. metrics import categorical_crossentropy from tensorflow. You can implement it using matrix operations as below. js does not have the boolean_mask function. Nov 14, 2015 · In TensorFlow, there is a diag function, Use tf. Jan 8, 2021 · The tensor is A_tensor,has shape [3,3,3] and I want get the last axis's value by index. Repeat elements of input. A plot of the Beale's function does look like this I would like to start at the point f(x=3. 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. The global minimum is at. unique (which currently only accepts 1D tensors, not sure why!) or tf. 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): May 27, 2023 · This tutorial contains an introduction to word embeddings. you can also make the value a little bit bigger or shorter than your row's number. gather_nd, and tf. softmax(values), how should I assign this value to A according to indices? which is similar to numpy A[indices] = prob. In case of tie anything can be returned: Note that in case of ties the identity of the return value is not guaranteed. output For all layers use this: from keras import backend as K inp = model. 241. reduce_max([s_idx, label_s_idx]) s_oh May 8, 2016 · tensorflow find index of the last occurrence of maximum value in a tensor. reduce_max(c)) # Find the index of the largest value print(tf. Find maximum absolute scalar value in list of tensors. run(x, feed_dict={x: 3}) Sep 23, 2019 · Think again about what you are trying to achieve. Jan 8, 2016 · values = [1. How to obtain now a Tensor of shape (100,) or (100,1) with per row (100 rows) the right value (select Creates a constant tensor from a tensor-like object. This functionality doesn't seem to be supported in tf. So this is perfectly legal to do: import tensorflow as tf x = tf. How to get the maximum and secondary maximum values of each row in a matrix in tensorflow? 2. Basically I want to use flat_map function to create tensors with shape = (1,) and dtype = tf. 0, y=4. What are the indices of the elements you are trying to extract for the first and second axes? Jul 24, 2023 · Setup import tensorflow as tf import keras from keras import layers Introduction. train. BatchDataset 0 How do I find the max value in a tensorflow dataset batch across a specific number of columns? 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. numpy() method to convert tensorflow. int32 and Python floating point numbers to tf. import_meta_graph() then tf. keras. scatter_nd to empower you with various tensor indexing tasks. Matrix A is contains some values and matrix B contains indices. keras imports,. nn. Look at the chart to the right of each feature row. math. If you use the lower level tf. 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. z is a constant tensor, it can't be changed. TensorFlow converts Python integers to tf. Otherwise TensorFlow uses the same rules NumPy uses when converting to arrays. – Dec 5, 2018 · What you are trying to do is frequently done with tf. flatnonzero(x)] extract elements according to non-zero indices. By my measurements, doing it separately is nearly twice as fast (0. less(t, tf. unique(x,return_index=True). I basically want the second output of numpy. Mar 28, 2022 · For floating point tensors, I use this to get the index of the element in the tensor. argmax(one_hot_vector, axis=0) Feb 3, 2018 · I want to find the index of the first occurrence of every unique element in x. 0], [10. This guide covers APIs for writing and reading checkpoints. If you want something like that, you can either have that result "padded" to make all rows the same lengths (e. Nov 18, 2015 · Was looking for similar capability to reduce a TensorFlow. js, or programs in other programming languages (the C, C++, Java, Go, Rust, C# etc. split() to split a tensor. . tf. E. gather( a, idx_keep ) which is almost equivalent to something like a[[0,1,3]] Nov 5, 2021 · After the extraction, I want to add the max value to each value in the corresponding column. Set values in row to zero Oct 23, 2022 · How to find Tensorflow max value index, but the value is repeat. reduce_max and tf. Jun 19, 2018 · While doing some calculations I end up calculating an average_acc. Tensor to numpy array or if you don't want to work with numpy representation Tensor. item()-your_tensor))<0. Jul 19, 2019 · I am trying build predictive system into a MERN app. 0]]) # Find the largest value print(tf. I am new to Tensorflow and just followed this tutorial which gets relation between Horsepower and Miles per gallon. Therefore I started with the Beale's function. 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. equal(b, a[0])) t = tf. fit(), Model. 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. Setup import tensorflow as tf Jul 28, 2021 · I know the tf. The output should be [0, 1, 6, 4, 2]. For instance, in the above example, the max value would be 6 for the first three columns and 7 for the last two columns. 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. function([inp, K. Use argmax again to find the next true/1 value; But this solution is not that good. More info in the Nov 24, 2018 · I also had the same problem with you. 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. I found two functions that could be useful. 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. The chart shows the range of value list lengths for the feature. 4. . index = tf. import numpy as np from tqdm import tqdm import math import os from tensorflow. If you need more padding, you have to repeat the operation, but you can go exponentially (1 first, then 2, then 4, etc. Overview; ResizeMethod; adjust_brightness; adjust_contrast; adjust_gamma; adjust_hue; adjust_jpeg_quality; adjust_saturation; central_crop; combined_non_max_suppression Sep 19, 2017 · You can't do meaningful computations with nan values. This guide covers training, evaluation, and prediction (inference) models when using built-in APIs for training & validation (such as Model. How can I do somthing like above Numpy operations in Tensorflow with Aug 31, 2018 · I could not find a function designed for this operation. Write tensorflow by index. random(input_shape)[np 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, 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. Jul 22, 2017 · I try to implement a visualization for optimization algorithms in TensorFlow. 0001). delta = tf. indices = [[1, 1]] # A list of coordinates to update. learning_phase()], [out]) for out in outputs] # evaluation functions # Testing test = np. To si 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. This guide covers how to create, update, and manage instances of tf. A tf. Nov 22, 2019 · Create a vector with the values to be replaced. models import * from tensorflow. Zero all values except max in Tensorflow. 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. Session() as sess: sess. One is tf. So, 1 row of zero has to be inserted in 5th index ( because first doc length is 4 ) . TensorFlow first builds a computational graph and then executes parts of/whole graph using a Session object. Tensor(0. 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. ops. optimizers import Adam from tensorflow. eval() when you have a default session (i. Can we update value in a tensor by its index? Jun 6, 2021 · As @Frightera suggested, you are mixing keras and tensorflow. 5 days ago · If you don't, TensorFlow chooses a datatype that can represent your data. evaluate() and Model. Nov 10, 2015 · The easiest [A] way to evaluate the actual value of a Tensor object is to pass it to the Session. 9. gather. tolist() converts your variable to python list. layers] # all layer outputs functors = [K. However TensorFlow programs are define-then-run. 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. 0) How do I implement this in TensorFlow with optimization algorithms? My first try looks like this I have a tensor as follows and a numpy 2D array k = 1 mat = np. 98. np. Jul 15, 2017 · tf. 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 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). Variable(3. Overview; ResizeMethod; adjust_brightness; adjust_contrast; adjust_gamma; adjust_hue Feb 17, 2018 · What you exactly ask is not possible for two reasons:. I accomplished this by using the function tf. May 4, 2018 · Use tf. 0. Finds values and indices of the k largest entries for the last dimension. unique. input # input placeholder outputs = [layer. keras 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. float64 such that when I run the below code the printed tensors look like: The below code add something to a specific location within a tensor by indices (thanks to @mrry's answer here). Try the code with all tensorflow. Variable objects, then the line session. argmax separately. boolean_mask. gather, tf. values = [1. May 20, 2017 · I will answer my own question, maybe someone will find it useful. Then 2 row of zeros at index 9 and 10 ( second doc length is 3 ) and so on . js tensor by a defined criteria, but TensorFlow. scatter_nd_update. Returns the constant value of the given tensor, if efficiently calculable. Meanwhile, we also can use tf. value of it and use it as a normal float? 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. Dec 21, 2016 · I need to insert a row of zeros, in such a way that, here max doc length is 5. g. array([[1,2],[3,4],[5,6]]) for row in mat: values_zero, indices_zero = tf. ; There is no z[2,2], only z[2,0] and z[2,1]. By the way, you can use tf. How to get current available GPUs in tensorflow? 2. Variables are created and tracked via the tf. normal((5, 2)) tf. gather_nd() which might be useful if you can produce a tensor of the form [[0, 0], [1, 1]] and thereby you could do Jun 12, 2021 · I have two matrices. arange(5), b] However, I cannot do the same thing with tenso Apr 17, 2018 · How to get an element from a specific index, where index is a scalar tensor with TensorFlow. 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. For example: 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. How do I get the 0. 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. gather(e_t, x_t) with tf. If you use the newer tf. I don't know your specific application, but you probably want to ignore these values. I'm using tensorflow 1. developers. qvxkdqlfribwsmlsilif