Mojo function
spatial_merge_kernel
spatial_merge_kernel[dtype: DType, input_origin: ImmutOrigin, input_shape_types: Variadic[CoordLike], input_stride_types: Variadic[CoordLike], output_origin: MutOrigin, output_shape_types: Variadic[CoordLike], output_stride_types: Variadic[CoordLike], grid_thw_origin: ImmutOrigin, grid_thw_shape_types: Variadic[CoordLike], grid_thw_stride_types: Variadic[CoordLike]](output: TileTensor[dtype, output_origin], input: TileTensor[dtype, input_origin], grid_thw: TileTensor[DType.int64, grid_thw_origin], batch_size: Int, hidden_size: Int, merge_size: Int)
Spatial merge kernel.
Grid: 1D over all output patches (one block per output patch). Threads: loop over channels (hidden_size x merge_size^2).
Args:
- output (
TileTensor): Output tensor. - input (
TileTensor): Input tensor. - grid_thw (
TileTensor): Grid dimensions tensor (B, 3) containing [t, h, w] for each item. - batch_size (
Int): Number of items in batch. - hidden_size (
Int): Hidden dimension size. - merge_size (
Int): Size of spatial merge blocks.
Was this page helpful?
Thank you! We'll create more content like this.
Thank you for helping us improve!