mirror of https://github.com/ROCm/composable_kernel.git synced 2026-04-19 22:39:03 +00:00

Files

Po Yen Chen 730204eed0 Introduce ck::accumulate_n() (#439 )

We can use this template to eliminate duplicated iterator computing
logics. By providing return type to ck::accumulate_n(), we can avoid
type conversion operations.

2022-11-14 19:53:39 -06:00

CMakeLists.txt

N-D Tensor Contraction example, instance, and client example (#270 )

2022-07-07 14:31:11 -05:00

contraction_bilinear_xdl_fp32.cpp

Introduce ck::accumulate_n() (#439 )

2022-11-14 19:53:39 -06:00

contraction_scale_xdl_fp32.cpp

Introduce ck::accumulate_n() (#439 )

2022-11-14 19:53:39 -06:00

README.md

N-D Tensor Contraction example, instance, and client example (#270 )

2022-07-07 14:31:11 -05:00

README.md

Instructions for `example_contraction_bilinear_xdl_fp32`

Run

#arg1: verification (0=no, 1=yes)
#arg2: initialization (0=no init, 1=integer value, 2=decimal value)
#arg3: time kernel (0=no, 1=yes)
./bin/example_contraction_bilinear_xdl_fp32 1 1 1

Result (MI100 @ dynammic freq, 46TFlops peak FP32)

a_ms_ks: dim 4, lengths {30, 128, 32, 64}, strides {524288, 4096, 128, 1}
b_ks_ns: dim 4, lengths {32, 64, 32, 64}, strides {128, 1, 524288, 4096}
c_ms_ns: dim 4, lengths {30, 128, 32, 64}, strides {524288, 4096, 128, 1}
launch_and_time_kernel: grid_dim {240, 1, 1}, block_dim {256, 1, 1}
Warm up 1 time
Start running 10 times...
Perf: 0.843286 ms, 38.1985 TFlops, 94.5014 GB/s, DeviceContractionMultipleD_Xdl_CShuffle<256, 256, 128, 16, 4, 4>

README.md

Instructions for example_contraction_bilinear_xdl_fp32

Run

Instructions for `example_contraction_bilinear_xdl_fp32`