How to get the data type of a tensor in PyTorch?

A PyTorch tensor is homogenous, i.e., all the elements of a tensor are of the same data type. We can access the data type of a tensor using the ".dtype" attribute of the tensor. It returns the data type of the tensor.

Steps

Import the required library. In all the following Python examples, the required Python library is torch. Make sure you have already installed it.
Create a tensor and print it.
Compute T.dtype. Here T is the tensor of which we want to get the data type.
Print the data type of the tensor.

Example 1

The following Python program shows how to get the data type of a tensor.

# Import the library
import torch

# Create a tensor of random numbers of size 3x4
T = torch.randn(3,4)
print("Original Tensor T:\n", T)

# Get the data type of above tensor
data_type = T.dtype

# Print the data type of the tensor
print("Data type of tensor T:\n", data_type)

Output

Original Tensor T:
tensor([[ 2.1768, -0.1328, 0.8155, -0.7967],
         [ 0.1194, 1.0465, 0.0779, 0.9103],
         [-0.1809, 1.8085, 0.8393, -0.2463]])
Data type of tensor T:
torch.float32

Example 2

# Python program to get data type of a tensor
# Import the library
import torch

# Create a tensor of random numbers of size 3x4
T = torch.Tensor([1,2,3,4])
print("Original Tensor T:\n", T)

# Get the data type of above tensor
data_type = T.dtype

# Print the data type of the tensor
print("Data type of tensor T:\n", data_type)

Output

Original Tensor T:
   tensor([1., 2., 3., 4.])
Data type of tensor T:
   torch.float32