//clika-runtime/io.clika.runtime/Ops/conv

conv

[common]
fun conv(input: Tensor, weight: Tensor, bias: Tensor?, stride: LongArray, padding: LongArray, dilation: LongArray, groups: Long, mode: PadMode = PadMode.CONSTANT, value: Double? = null, activation: Activation = Activation.IDENTITY): Tensor

conv(input: Tensor, weight: Tensor, bias: Tensor?, stride: LongArray, padding: LongArray, dilation: LongArray, groups: Long, mode: PadMode = PadMode.CONSTANT, value: Double? = null, activation: Activation = Activation.IDENTITY): the conv operator. Convolution family, channels-last ([N, spatial..., C]), weights output-channel-first ([O, spatial..., Ig]). stride / dilation / output_padding are PER-AXIS window attributes everywhere: length 0 (defaulted), 1 (broadcast), or spatial-rank. padding carries TWO conventions; read the one that matches the op: - conv / conv_transpose*: interleaved (lo, hi) PAIRS in axis order (even length; pair i pads spatial axis i); asymmetric pads spell directly, e.g. 1-D {2, 3} = lo 2, hi 3. - conv1d/2d/3d: SYMMETRIC per-axis widths (length 0/1/spatial-rank), e.g. 1-D {2} = lo 2, hi 2; an asymmetric pad needs conv or an explicit ops::pad first. The inline defaults below encode the split: conv1d pads {0}, conv_transpose1d pads {0, 0}.