pub fn conv1d_backward_dx<T: Triton, D: Num, const KL: i32, const STRIDE: i32, const PAD: i32, const BLOCK_OL: i32>(
dy_ptr: T::Pointer<D>,
w_ptr: T::Pointer<D>,
dx_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 backward pass — gradient with respect to input (dx).
Grid: pid = (b * C_OUT + c_out) * num_ol_tiles + ol_tile
Scatters gradient back via atomic_add to handle overlapping receptive fields.
Padding positions (those that correspond to out-of-bounds input locations)
are skipped.