Working with Complex Numbers in PyTorch (Despite the Lack of Built-in Support)

import torch

# Create real and imaginary tensors
real_part = torch.tensor([1.0, 2.0], dtype=torch.float32)
imag_part = torch.tensor([3.0, 4.0], dtype=torch.float32)

# Combine them to represent complex numbers (workaround)
complex_numbers = torch.complex(real_part, imag_part)

# Print the complex numbers and their data type
print(complex_numbers)
print(complex_numbers.dtype)

This code defines two tensors:

• real_part: Stores the real numbers (e.g., 1.0 and 2.0).

1. Custom Complex Class (More Control):

2. Third-Party Libraries (Limited Functionality):

3. Continue with Real Tensors (Limited Complex Operations):