Created
September 7, 2020 14:23
-
-
Save MLWhiz/2889ec81a05f034dc923d4aec090a092 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Using torch.Tensor | |
t = torch.Tensor([[1,2,3],[3,4,5]]) | |
print(f"Created Tensor Using torch.Tensor:\n{t}") | |
# Using torch.randn | |
t = torch.randn(3, 5) | |
print(f"Created Tensor Using torch.randn:\n{t}") | |
# using torch.[ones|zeros](*size) | |
t = torch.ones(3, 5) | |
print(f"Created Tensor Using torch.ones:\n{t}") | |
t = torch.zeros(3, 5) | |
print(f"Created Tensor Using torch.zeros:\n{t}") | |
# using torch.randint - a tensor of size 4,5 with entries between 0 and 10(excluded) | |
t = torch.randint(low = 0,high = 10,size = (4,5)) | |
print(f"Created Tensor Using torch.randint:\n{t}") | |
# Using from_numpy to convert from Numpy Array to Tensor | |
a = np.array([[1,2,3],[3,4,5]]) | |
t = torch.from_numpy(a) | |
print(f"Convert to Tensor From Numpy Array:\n{t}") | |
# Using .numpy() to convert from Tensor to Numpy array | |
t = t.numpy() | |
print(f"Convert to Numpy Array From Tensor:\n{t}") |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment