This folder contains example for Grouped GEMM using ck_tile tile-programming implementation. Currently, it only supports the basic feature of the CK Tile GEMM, but creates the placeholders for the future support on different GEMM pipeline and different GEMM modules. In the near future, we will gradually migrate all the GEMM features from old CK to CK Tile.
## build
```
# in the root of ck_tile
mkdir build && cd build
# you can replace <arch> with the appropriate architecture (for example gfx90a or gfx942) or leave it blank
sh ../script/cmake-ck-dev.sh ../ <arch>
# The basic pipeline method on the gemm calculation
make tile_example_grouped_gemm -j
```
This will result in an executable `build/bin/tile_example_grouped_gemm`
## example
```
args:
-a_layout Tensor A layout (default:R)
-b_layout Tensor B layout (default:R)
-c_layout Tensor C layout (default:R)
-v 0. No validation, 1. Validation on CPU
-warmup number of iterations before benchmark the kernel (default:10)
-repeat number of iterations to benchmark the kernel (default:100)
This folder contains example for batched Transpose using ck_tile tile-programming implementation. Currently, it supports the batched transpose with NCHW to NHWC or NHWC to NCHW. So in this way from NCHW you could transpose to either NHWC or NWCH(two transposes). Now the transpose read with single data point. We would soon put it in vectorized transpose.
## build
```
# in the root of ck_tile
mkdir build && cd build
# you can replace <arch> with the appropriate architecture (for example gfx90a or gfx942) or leave it blank
sh ../script/cmake-ck-dev.sh ../ <arch>
# Make the transpose executable
make tile_example_batched_transpose -j
```
This will result in an executable `build/bin/tile_example_batched_transpose`
## example
```
args:
-N input batch size (default:2)
-C input channel size. (default:16)
-H input height size. (default:1)
-W input width size. (default:16)
-v whether do CPU validation or not (default: 1)
-layout_in input tensor data layout - NCHW by default
-layout_out output tensor data layout - NHWC by default
-seed seed to be used, -1 means random every time (default:-1)
