Deleting Rows in Torch Tensor
I have a torch tensor as follows - 

a = tensor(
[[0.2215, 0.5859, 0.4782, 0.7411],
[0.3078, 0.3854, 0.3981, 0.5200],
[0.1363, 0.4060, 0.2030, 0.4940],
[0.1640, 0.6025, 0.2267, 0.7036],
[0.2445, 0.3032, 0.3300, 0.4253]],  dtype=torch.float64)


If the first value of each row is less than 0.2 then the whole row needs to be deleted. Thus I need the output like - 

tensor(
[[0.2215, 0.5859, 0.4782, 0.7411],
[0.3078, 0.3854, 0.3981, 0.5200],
[0.2445, 0.3032, 0.3300, 0.4253]],  dtype=torch.float64)


I have tried to loop through the tensor and append the valid value to a new empty tensor but was not successful. Is there any way to get the results efficiently? 

Code

a = torch.Tensor(
    [[0.2215, 0.5859, 0.4782, 0.7411],
    [0.3078, 0.3854, 0.3981, 0.5200],
    [0.1363, 0.4060, 0.2030, 0.4940],
    [0.1640, 0.6025, 0.2267, 0.7036],
    [0.2445, 0.3032, 0.3300, 0.4253]])

y = a[a[:, 0] &gt; 0.2]
print(y)


Output

tensor([[0.2215, 0.5859, 0.4782, 0.7411],
        [0.3078, 0.3854, 0.3981, 0.5200],
        [0.2445, 0.3032, 0.3300, 0.4253]])

