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1.5 KiB
1.5 KiB
Image to Column (im2col) with CK Tile
This example demonstrates the im2col transformation using the CK Tile programming model, a key step for converting convolution into GEMM for efficient GPU execution.
Algorithm and Math
Given an input image tensor X and convolution kernel size, im2col rearranges sliding windows of X into columns:
- For each patch, flatten and stack as a column in the output matrix.
- Enables convolution as matrix multiplication:
\text{im2col}(X) \times W.
Tile Programming Model
- Tiles: Each thread block processes a tile (block of patches).
- Pipeline: Modular, can be extended for fused operations (e.g., quantization, activation).
Build & Run
mkdir build && cd build
# you can replace <arch> with the appropriate architecture (for example gfx90a or gfx942) or leave it blank
../script/cmake-ck-dev.sh ../ <arch>
make tile_example_img2col -j
./bin/tile_example_img2col -?
Source Structure
- Kernel:
image_to_column.hpp(tile-programming kernel template) - Executable:
image_to_column.cpp(argument parsing, kernel launch) - Build:
CMakeLists.txt
Related CK Tile Examples
- 03_gemm: GEMM with tiles (im2col output as input)
- 05_reduce: Reductions with tiles
- 06_permute: Permutation with tiles
For distribution, see include/ck_tile/tile_program/tile_distribution/.