pub fn conv1d_forward<T: Triton, D: Num, const KL: i32, const STRIDE: i32, const PAD: i32, const BLOCK_OL: i32>(
x_ptr: T::Pointer<D>,
w_ptr: T::Pointer<D>,
y_ptr: T::Pointer<D>,
_B: i32,
C_IN: i32,
C_OUT: i32,
L: i32,
OL: i32,
)where
T::I32Tensor: Tensor<i32, 1> + Comparison<i32, BoolTensor = T::BoolTensor>,
T::BoolTensor: BitAnd<Output = T::BoolTensor>,
T::Pointer<D>: AddOffsets<i32, 1, T::I32Tensor, Output = T::Tensor<T::Pointer<D>>>,Expand description
1-D convolution forward pass.
Grid: one CTA per (b, c_out, ol-tile):
pid = (b * C_OUT + c_out) * num_ol_tiles + ol_tile
Each CTA computes a BLOCK_OL-wide strip of output positions by iterating
over all C_IN * KL combinations.
Zero-padding of PAD elements is applied on each side of the input.
OL = (L + 2*PAD - KL) / STRIDE + 1.