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The best way of doing so is that it is able to modify tensor directly. Yet, it seems not possible in the current version of Tensorflow. An ...

Have you ever tried to replace only certain values of array, based on their indices? >>> import numpy as np >>> a = np.array( [1,2,3,4,5] )

06.05.2016 · However, I have no idea about how to modify the values in tensor like the way using numpy. The best way of doing so is that it is able to modify tensor directly. Yet, it seems not possible in the current version of Tensorflow. An alternative way is changing tensor to ndarray for the process, and then use tf.convert_to_tensor to change back.

TensorFlow allows you to define Variable objects, whose values can be changed. When creating a variable, you can set an initial value explicitly, or you can use ...

How to replace certain values in Tensorflow tensor with the values of the other tensor? I have a Tensorflow tensor A of size (64, 2, 82, 1), and I want to ...

The value can be changed using one of the assign methods. ... object convertible to a Tensor , which is the initial value for the Variable.

What is the recommend way to replace a particular value in a tensor with something else? is torch.where() the most efficient solution? q ...

01.02.2020 · Convert this vector into two arrays containing the actual indices (idx_keep, idx_replace). This may be done in many ways but I believe using tf.where is the most concise method. Create a vector with the values to be replaced. In this example, the new value will be -inf, replicated N times where N = number of elements to be replaces = len(idx ...

Steps · Import the required libraries. · Define a PyTorch tensor. · Access the value of a single element at particular index using indexing or ...

30.12.2021 · Is it possible to assign values to an sparse tensor after initialization? I tried. import torch a = torch.sparse_coo_tensor(size=(3,4)) a[1,2] = 1 which gave me the clear answer: "Cannot assign to a sparse tensor". Is there any workaround or other way to update values?

For quick update of a variable, eg adding value to a slide of it, I think you can use variable.assign_add(). eg. import tensorflow as tf a ...

18.09.2018 · What about. tensor[tensor==4] = 16 Assuming you want to replace for example each 4 with a 16. Edit: you could also do this with a tensor, but you would need to do it like tensor[tensor==4] = sixteens_tensor.clone() if you want to do it in autograd on a leaf variable. Also the sixteens_tensor must contain exactly as many values as there are 4s in tensor

16.06.2020 · TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. convert_to_tensor () is used to convert the given value to a Tensor. Syntax: tensorflow.convert_to_tensor ( value, dtype, dtype_hint, name ) Parameters: value: It is the value that needed to be converted to Tensor.

You can define a tensor with decimal values or with a string by changing the type of data.,What is the recommend way to replace a particular ...

28.05.2021 · t=tensor([0.1 0.2 0.3 0.4 0.5 0.6]) now i need to modify this existing tensor t as follows: t=tensor([0.1 0.2 0.7 0.4 0.8 0.6]) I tried as follows: t=tensor([0.1 0.2 ...