Checking and adding tensors
While collecting temperature data, you notice the readings are off by two degrees. Add two degrees to the temperatures
tensor after verifying its shape and data type with torch
to ensure compatibility with the adjustment
tensor.
The torch
library and the temperatures
tensor are loaded for you.
This exercise is part of the course
Introduction to Deep Learning with PyTorch
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
adjustment = torch.tensor([[2, 2, 2], [2, 2, 2]])
# Display the shape of the adjustment tensor
print("Adjustment shape:", adjustment.____)
# Display the type of the adjustment tensor
print("Adjustment type:", adjustment.____)
print("Temperatures shape:", temperatures.shape)
print("Temperatures type:", temperatures.dtype)