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Support Wave32 in CK_TILE - Part 1 (#2594)

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* Support wave32/wave64 in CK_TILE - Part 1

* remove blocksize in kernel launch

* fix build error

* fix clang format

* fix clang format 2

* fix clang format 3

* fix fmha build error

* fix fmha build 2

* fix fmha build 3

* fix build error 4

* address review comment

* update change log

* replace KernelBlockSize with kBlockSize

* fix CI fail

* fix clang format

* address review comment and rebase code.

* fix universal test fail

---------

Co-authored-by: Lin, Qun <Quentin.Lin+amdeng@amd.com>
Co-authored-by: Thomas Ning <Thomas.Ning@amd.com>
This commit is contained in:
linqunAMD
2025-08-19 01:08:31 +08:00
committed by GitHub
parent 26d3300930
commit 9fcc1ee9fd
113 changed files with 610 additions and 531 deletions
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22
example/ck_tile/21_elementwise/elementwise_example_transpose.cpp
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@@ -112,17 +112,17 @@ bool run(const ck_tile::ArgParser& arg_parser)
}
// 4. Run the kernel
float ave_time = launch_kernel(ck_tile::stream_config{nullptr, true, 0, warmup, repeat},
ck_tile::make_kernel<kBlockSize, kBlockPerCu>(
Kernel{},
kGridSize,
kBlockSize,
0, // Shared memory
op_lengths, // Logical dimensions for the operation (M, N)
input_strides, // Strides for input tensor(s)
output_strides, // Strides for output tensor (N, M)
input_tensors,
static_cast<YDataType*>(y_buf.GetDeviceBuffer())));
float ave_time = launch_kernel(
ck_tile::stream_config{nullptr, true, 0, warmup, repeat},
ck_tile::make_kernel<kBlockPerCu>(Kernel{},
kGridSize,
kBlockSize,
0, // Shared memory
op_lengths, // Logical dimensions for the operation (M, N)
input_strides, // Strides for input tensor(s)
output_strides, // Strides for output tensor (N, M)
input_tensors,
static_cast<YDataType*>(y_buf.GetDeviceBuffer())));
std::cout << "Average time: " << ave_time << " ms" << std::endl;