mlx.core.conv2d

conv2d(input: array, weight: array, /, stride: int | tuple[int, int] = 1, padding: int | tuple[int, int] = 0, dilation: int | tuple[int, int] = 1, groups: int = 1, *, stream: None | Stream | Device = None) → array

2D convolution over an input with several channels

Parameters:

• input (array) – Input array of shape (N, H, W, C_in).

• weight (array) – Weight array of shape (C_out, H, W, C_in).

• stride (int or tuple(int), optional) – tuple of size 2 with kernel strides. All spatial dimensions get the same stride if only one number is specified. Default: 1.

• padding (int or tuple(int), optional) – tuple of size 2 with symmetric input padding. All spatial dimensions get the same padding if only one number is specified. Default: 0.

• dilation (int or tuple(int), optional) – tuple of size 2 with kernel dilation. All spatial dimensions get the same dilation if only one number is specified. Default: 1

• groups (int, optional) – input feature groups. Default: 1.

Returns:

The convolved array.

Return type:

array