#Python File Learning the Basics of Tensors in Pytorch Library

import torch

device = (

"cuda"

if torch.cuda.is_available()

else "cpu"

)

print(f"Using device: {device}")

matrix1 = torch.tensor([3.0, 3.0], device=device)

matrix2 = torch.tensor([2.0, 2.0], device=device)

matrix3 = matrix1 * matrix2

print(matrix3)

tensor1 = torch.ones(2,2,3, dtype=torch.float16)

print(tensor1.dtype)

x_rand = torch.rand(size=(2, 2))

y_rand = torch.rand(size=(2, 2))

print(x_rand)

print(y_rand)

x_add_rand_tensors = x_rand + y_rand

x_add_rand_tensors = torch.add(x_rand, y_rand)

x_sub_rand_tensors = torch.sub(x_rand, y_rand)

x_mul_rand_tensors = torch.mul(x_rand, y_rand)

x_div_rand_tensors = torch.div(x_rand, y_rand)

print(f"This is the sum of the two tensors {x_add_rand_tensors}")

print(f"This is the difference of the two tensors {x_sub_rand_tensors}")

print(f"This is the product of the two tensors {x_mul_rand_tensors}")

print(f"This is the quotient of the two tensors {x_div_rand_tensors}")

print(f"This is the first row of the Tensor x_rand: {x_rand[0,:]}")

print(f"This is the first column of the Tensor x_rand: {x_rand[:,0]}")

print(f"This is the size of the Tensor x_rand: {x_rand.size()}")

print(f"This is the shape of the Tensor x_rand: {x_rand.shape}")