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[CK_TILE] Correct BlockWarps calculation and fix smoke-test in rmsnorm (#2540)

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* [CK_TILE] Correct BlockWarps calculation and fix smoke-test in rmsnorm

* Update rmsnorm host reference

* Update tree reduction of rmsnorm for reference host

* Fix cross warp for m > 1 cases

* Add RMSNorm model selectable option for host reference

* Fix save_unquant cases

* Update reference rmsnorm forward function to use enum for model sensitivity

* Update reference rmsnorm calculation for model sensitivity

* Fix m warp for layernorm

* Adjust parameter of reference for twoPass

* Fix clang format

* Run clang-format-overwrite.sh to fix formating issue

* fix clang format

---------

Co-authored-by: MHYang <mengyang@amd.com>
Co-authored-by: illsilin_amdeng <Illia.Silin@amd.com>
Co-authored-by: ThomasNing <thomas.ning@amd.com>
This commit is contained in:
ClementLinCF
2025-10-14 02:52:37 +08:00
committed by GitHub
parent fc2a121c44
commit e1b0bdfbfa
7 changed files with 217 additions and 67 deletions
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6
include/ck_tile/ops/rmsnorm2d/pipeline/rmsnorm2d_fwd_pipeline_model_sensitive_pass.hpp
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@@ -146,7 +146,7 @@ struct Rmsnorm2dFwdPipelineModelSensitiveT5Pass
// compute mean square each-thread->cross-lane->cross-warp
auto square_sum = block_reduce2d.template MakeYBlockTile<decltype(acc)>();
set_tile(square_sum, 0);
if constexpr(Problem::BlockShape::Vector_N % 2 == 0)
if constexpr((Problem::BlockShape::Repeat_N * Problem::BlockShape::Vector_N) % 2 == 0)
{
sweep_tile(
acc,
@@ -179,7 +179,7 @@ struct Rmsnorm2dFwdPipelineModelSensitiveT5Pass
const auto gamma_ = type_convert<ComputeDataType>(gamma[j_idx]);
if constexpr(std::is_same_v<YResidualDataType, ck_tile::bf16_t>)
if constexpr(std::is_same_v<XDataType, ck_tile::bf16_t>)
{
const auto tmp0 =
float_to_bf16<bf16_rounding_mode::standard>(acc[idx] * inv_rms_[i_idx]);
@@ -190,7 +190,7 @@ struct Rmsnorm2dFwdPipelineModelSensitiveT5Pass
}
else
{
const auto tmp = type_convert<YResidualDataType>(acc[idx] * inv_rms_[i_idx]);
const auto tmp = type_convert<XDataType>(acc[idx] * inv_rms_[i_idx]);
const auto rmsn_ = type_convert<ComputeDataType>(tmp) * gamma_;
rmsn(idx) = rmsn_;
}