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