mlx/mlx at 0a5215693e17f6d04f2f8fa679feaa89e9d4c8ac - mlx

mirror of https://github.com/ml-explore/mlx.git synced 2025-09-23 14:08:12 +08:00

Files

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