Franck Verrot 7df3f792a2 Ensure Conv2D and Conv3D's kernel sizes aren't trimmed (#1852) ... Before the change, this snippet: ``` print(nn.Conv1d(1, 32, 3, padding=1)) print(nn.Conv2d(1, 32, (3, 3), padding=1)) print(nn.Conv3d(1, 32, (3, 3, 3), padding=1)) ``` would output: ``` Conv1d(1, 32, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, bias=True) Conv2d(1, 32, kernel_size=(3,), stride=(1, 1), padding=(1, 1), dilation=1, groups=1, bias=True) Conv3d(1, 32, kernel_size=(3, 3), stride=(1, 1, 1), padding=(1, 1, 1), dilation=1, bias=True) ``` After the change, the output will be: ``` Conv1d(1, 32, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, bias=True) Conv2d(1, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), dilation=1, groups=1, bias=True) Conv3d(1, 32, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), dilation=1, bias=True) ```		2025-02-10 06:27:01 -08:00
..
layers	Ensure Conv2D and Conv3D's kernel sizes aren't trimmed (#1852)	2025-02-10 06:27:01 -08:00
__init__.py	Common neural network initializers nn.initializers (#456)	2024-01-23 06:47:20 -08:00
init.py	catch stream errors earlier to avoid aborts (#1801)	2025-01-27 14:05:43 -08:00
losses.py	Some fixes to typing (#1371)	2024-08-28 11:16:19 -07:00
utils.py	Data parallel helper (#1407)	2024-09-16 18:17:21 -07:00