// Mechanical adaptation of OA's Conv1d im2col lowering.
// Donor: source/cpp/lib/oa/ml/shader/compute/nn/conv/im2Col1d.slang
import storage;
import attributes;
struct PushConstants {
uint input_index;
uint columns_index;
uint batch_size;
uint input_channels;
uint input_length;
uint kernel_size;
uint stride;
uint padding;
uint dilation;
uint output_length;
};
[[vk::push_constant]] PushConstants push;
[[vk::binding(0, 0)]] RWByteAddressBuffer storage_buffers[];
[kernel_name("conv_1d")]
[domain("ml")]
[variant("generic")]
[dtype("f32")]
[status("experimental")]
[shader("compute")]
[numthreads(256, 1, 1)]
void main(uint3 thread_id : SV_DispatchThreadID) {
uint index = thread_id.x;
uint inner_size = push.input_channels * push.kernel_size;
uint element_count = push.batch_size * push.output_length * inner_size;
if (index >= element_count) {
return;
}
uint column = index % inner_size;
uint row = index / inner_size;
uint kernel = column % push.kernel_size;
uint input_channel = column / push.kernel_size;
uint output_position = row % push.output_length;
uint batch = row / push.output_length;
int input_position = int(output_position) * int(push.stride)
+ int(kernel) * int(push.dilation) - int(push.padding);
float value = 0.0f;
if (input_position >= 0 && input_position < int(push.input_length)) {
uint input_offset =
(batch * push.input_channels + input_channel) * push.input_length
+ uint(input_position);
value = load_f32(storage_buffers[push.input_index], input_offset);
}
store_f32(storage_buffers[push.columns_index], index, value);
}