## How to perform element-wise division on tensors in PyTorch?

Shahid Akhtar Khan

Updated on 06-Nov-2021 09:51:34

To perform element-wise division on two tensors in PyTorch, we can use the torch.div() method. It divides each element of the first input tensor by the corresponding element of the second tensor. We can also divide a tensor by a scalar. A tensor can be divided by a tensor with ... Read More

## How to perform element-wise multiplication on tensors in PyTorch?

Shahid Akhtar Khan

Updated on 06-Nov-2021 09:49:57

torch.mul() method is used to perform element-wise multiplication on tensors in PyTorch. It multiplies the corresponding elements of the tensors. We can multiply two or more tensors. We can also multiply scalar and tensors. Tensors with same or different dimensions can also be multiplied. The dimension of the final tensor ... Read More

## How to perform element-wise subtraction on tensors in PyTorch?

Shahid Akhtar Khan

Updated on 06-Nov-2021 09:47:54

To perform element-wise subtraction on tensors, we can use the torch.sub() method of PyTorch. The corresponding elements of the tensors are subtracted. We can subtract a scalar or tensor from another tensor. We can subtract a tensor from a tensor with same or different dimension. The dimension of the final ... Read More

## How to perform element-wise addition on tensors in PyTorch?

Shahid Akhtar Khan

Updated on 06-Nov-2021 09:45:52

We can use torch.add() to perform element-wise addition on tensors in PyTorch. It adds the corresponding elements of the tensors. We can add a scalar or tensor to another tensor. We can add tensors with same or different dimensions. The dimension of the final tensor will be same as the ... Read More

## How to resize a tensor in PyTorch?

Shahid Akhtar Khan

Updated on 06-Nov-2021 09:44:33

To resize a PyTorch tensor, we use the .view() method. We can increase or decrease the dimension of the tensor, but we have to make sure that the total number of elements in a tensor must match before and after the resize.StepsImport the required library. In all the following Python ... Read More

## How to join tensors in PyTorch?

Shahid Akhtar Khan

Updated on 06-Nov-2021 09:42:37

We can join two or more tensors using torch.cat() and torch.stack(). torch.cat() is used to concatenate two or more tensors, whereas torch.stack() is used to stack the tensors. We can join the tensors in different dimensions such as 0 dimension, -1 dimension.Both torch.cat() and torch.stack() are used to join the ... Read More

## How to access the metadata of a tensor in PyTorch?

Shahid Akhtar Khan

Updated on 06-Nov-2021 09:39:31

We access the size (or shape) of a tensor and the number of elements in the tensor as the metadata of the tensor. To access the size of a tensor, we use the .size() method and the shape of a tensor is accessed using .shape.Both .size() and .shape produce the ... Read More

## How to convert a NumPy ndarray to a PyTorch Tensor and vice versa?

Shahid Akhtar Khan

Updated on 06-Nov-2021 09:37:24

A PyTorch tensor is like numpy.ndarray. The difference between these two is that a tensor utilizes the GPUs to accelerate numeric computation. We convert a numpy.ndarray to a PyTorch tensor using the function torch.from_numpy(). And a tensor is converted to numpy.ndarray using the .numpy() method.StepsImport the required libraries. Here, the ... Read More

## How to access and modify the values of a Tensor in PyTorch?

Shahid Akhtar Khan

Updated on 06-Nov-2021 09:35:20

We use Indexing and Slicing to access the values of a tensor.Indexing is used to access the value of a single element of the tensor, whereasSlicing is used to access the values of a sequence of elements.We use the assignment operator to modify the values of a tensor. Assigning new ... Read More

## How to convert an image to a PyTorch Tensor?

Shahid Akhtar Khan

Updated on 06-Nov-2021 09:31:58

A PyTorch tensor is an n-dimensional array (matrix) containing elements of a single data type. A tensor is like a numpy array. The difference between numpy arrays and PyTorch tensors is that the tensors utilize the GPUs to accelerate the numeric computations. For the accelerated computations, the images are converted ... Read More