00_pytorch_fundamentals_excersie

[BinodDutta]

Answer is Not matching Q6:

Create two random tensors of shape (2, 3) and send them both to the GPU (you'll need access to a GPU for this). Set torch.manual_seed(1234) when creating the tensors (this doesn't have to be the GPU random seed). The output should be something like:

ANSWER Given:
Device: cuda
(tensor([[0.0290, 0.4019, 0.2598],
[0.3666, 0.0583, 0.7006]], device='cuda:0'),
tensor([[0.0518, 0.4681, 0.6738],
[0.3315, 0.7837, 0.5631]], device='cuda:0'))

my OUTPUT:

Device: cuda
tensor([[0.1272, 0.8167, 0.5440],
[0.6601, 0.2721, 0.9737]], device='cuda:0')
tensor([[0.1272, 0.8167, 0.5440],
[0.6601, 0.2721, 0.9737]], device='cuda:0')

CODE:
RANDOM_SEED=1234 d='cuda' if torch.cuda.is_available() else 'cpu' torch.manual_seed(RANDOM_SEED) tensor_C=torch.rand(2,3,device=d) tensor_D=torch.rand(2,3,device=d) print(f'Device: {d}') print(tensor_C) print(tensor_D)