Skip to content

GitLab

Commit 0e70dfe9 authored by Jing Zhang's avatar Jing Zhang
Browse files

debugging

parent 268c497c
Show whitespace changes
Inline Side-by-side
Showing with 27 additions and 6 deletions
include/ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_wmma_cshuffle.hpp
View file @ 0e70dfe9
...@@ -101,8 +101,8 @@ struct DeviceGemmMultipleD_Wmma_CShuffle : public DeviceGemmMultipleD<ALayout, ...@@ -101,8 +101,8 @@ struct DeviceGemmMultipleD_Wmma_CShuffle : public DeviceGemmMultipleD<ALayout,
(MWaves == 1 && is_same<tensor_layout::gemm::ColumnMajor, BLayout>::value) ? false : true; (MWaves == 1 && is_same<tensor_layout::gemm::ColumnMajor, BLayout>::value) ? false : true;
// If true, LDS is used unconditionally // If true, LDS is used unconditionally
static constexpr auto AEnableLds_manu = true; static constexpr auto AEnableLds_manu = false;
static constexpr auto BEnableLds_manu = true; static constexpr auto BEnableLds_manu = false;
static constexpr auto AEnableLds = AEnableLds_auto || AEnableLds_manu || (NumPrefetch > 1); static constexpr auto AEnableLds = AEnableLds_auto || AEnableLds_manu || (NumPrefetch > 1);
static constexpr auto BEnableLds = BEnableLds_auto || BEnableLds_manu || (NumPrefetch > 1); static constexpr auto BEnableLds = BEnableLds_auto || BEnableLds_manu || (NumPrefetch > 1);
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_multiple_d_wmma_cshuffle.hpp
View file @ 0e70dfe9
...@@ -375,8 +375,9 @@ struct GridwiseGemmMultipleD_Wmma ...@@ -375,8 +375,9 @@ struct GridwiseGemmMultipleD_Wmma
} }
else else
{ {
constexpr auto A_KRow = I2;
constexpr auto KWmmaPerblock = KPerBlock / WmmaK; constexpr auto KWmmaPerblock = KPerBlock / WmmaK;
constexpr auto K0PerWmma = WmmaK / 2 / K1; constexpr auto K0PerWmma = WmmaK / A_KRow / K1;
// KWmma->MRepeat->MWave->K0PerWmma->KRow->MPerWmma->K1 Per Thread // KWmma->MRepeat->MWave->K0PerWmma->KRow->MPerWmma->K1 Per Thread
return make_naive_tensor_descriptor( return make_naive_tensor_descriptor(
make_tuple(Number<KWmmaPerblock>{}, make_tuple(Number<KWmmaPerblock>{},
...@@ -422,8 +423,9 @@ struct GridwiseGemmMultipleD_Wmma ...@@ -422,8 +423,9 @@ struct GridwiseGemmMultipleD_Wmma
} }
else else
{ {
constexpr auto B_KRow = I2;
constexpr auto KWmmaPerblock = KPerBlock / WmmaK; constexpr auto KWmmaPerblock = KPerBlock / WmmaK;
constexpr auto K0PerWmma = WmmaK / 2 / K1; constexpr auto K0PerWmma = WmmaK / B_KRow / K1;
// KWmma->NRepeat->MWave->K0PerWmma->KRow->MPerWmma->K1 Per Thread // KWmma->NRepeat->MWave->K0PerWmma->KRow->MPerWmma->K1 Per Thread
return make_naive_tensor_descriptor( return make_naive_tensor_descriptor(
make_tuple(Number<KWmmaPerblock>{}, make_tuple(Number<KWmmaPerblock>{},
...@@ -497,7 +499,11 @@ struct GridwiseGemmMultipleD_Wmma ...@@ -497,7 +499,11 @@ struct GridwiseGemmMultipleD_Wmma
// AK0_M_AK1 -> AK0_MRepeat_Mwaves_AKRow_MPerWmma_AK1 // AK0_M_AK1 -> AK0_MRepeat_Mwaves_AKRow_MPerWmma_AK1
constexpr auto A_K0 = ABlockDesc_{}.GetLength(I0); constexpr auto A_K0 = ABlockDesc_{}.GetLength(I0);
constexpr auto A_K1 = ABlockDesc_{}.GetLength(I2); constexpr auto A_K1 = ABlockDesc_{}.GetLength(I2);
#ifdef __gfx12__
constexpr auto A_KRow = I2;
#else
constexpr auto A_KRow = I1; constexpr auto A_KRow = I1;
#endif
return transform_tensor_descriptor( return transform_tensor_descriptor(
ABlockDesc_{}, ABlockDesc_{},
make_tuple(make_unmerge_transform(make_tuple(Number<A_K0>{}, A_KRow)), make_tuple(make_unmerge_transform(make_tuple(Number<A_K0>{}, A_KRow)),
...@@ -536,7 +542,11 @@ struct GridwiseGemmMultipleD_Wmma ...@@ -536,7 +542,11 @@ struct GridwiseGemmMultipleD_Wmma
// BK0_N_BK1 -> BK0_NRepeat_Nwaves_NPerWmma_BK1 // BK0_N_BK1 -> BK0_NRepeat_Nwaves_NPerWmma_BK1
constexpr auto B_K0 = BBlockDesc_{}.GetLength(I0); constexpr auto B_K0 = BBlockDesc_{}.GetLength(I0);
constexpr auto B_K1 = BBlockDesc_{}.GetLength(I2); constexpr auto B_K1 = BBlockDesc_{}.GetLength(I2);
#ifdef __gfx12__
constexpr auto B_KRow = I2;
#else
constexpr auto B_KRow = I1; constexpr auto B_KRow = I1;
#endif
return transform_tensor_descriptor( return transform_tensor_descriptor(
BBlockDesc_{}, BBlockDesc_{},
make_tuple(make_unmerge_transform(make_tuple(Number<B_K0>{}, B_KRow)), make_tuple(make_unmerge_transform(make_tuple(Number<B_K0>{}, B_KRow)),
......
include/ck/tensor_operation/gpu/grid/gridwise_gemm_wmma.hpp
View file @ 0e70dfe9
...@@ -295,7 +295,12 @@ struct GridwiseGemm_Wmma ...@@ -295,7 +295,12 @@ struct GridwiseGemm_Wmma
// AK0_M_AK1 -> AK0_MRepeat_Mwaves_AKRow_MPerWmma_AK1 // AK0_M_AK1 -> AK0_MRepeat_Mwaves_AKRow_MPerWmma_AK1
constexpr auto A_K0 = ABlockDesc_{}.GetLength(I0); constexpr auto A_K0 = ABlockDesc_{}.GetLength(I0);
constexpr auto A_K1 = ABlockDesc_{}.GetLength(I2); constexpr auto A_K1 = ABlockDesc_{}.GetLength(I2);
#ifdef __gfx12__
constexpr auto A_KRow = I2; constexpr auto A_KRow = I2;
#else
constexpr auto A_KRow = I1;
#endif
return transform_tensor_descriptor( return transform_tensor_descriptor(
ABlockDesc_{}, ABlockDesc_{},
make_tuple(make_unmerge_transform(make_tuple(Number<A_K0>{}, A_KRow)), make_tuple(make_unmerge_transform(make_tuple(Number<A_K0>{}, A_KRow)),
...@@ -310,6 +315,7 @@ struct GridwiseGemm_Wmma ...@@ -310,6 +315,7 @@ struct GridwiseGemm_Wmma
// KWmma_MRepeat_MWave_K0PerWmma_KRow_MPerWmma_K1 -> K0_MRepeat_Mwaves_MPerWmma_K1 // KWmma_MRepeat_MWave_K0PerWmma_KRow_MPerWmma_K1 -> K0_MRepeat_Mwaves_MPerWmma_K1
constexpr auto KWmma = ABlockDesc_{}.GetLength(I0); constexpr auto KWmma = ABlockDesc_{}.GetLength(I0);
constexpr auto K0PerWmma = ABlockDesc_{}.GetLength(I3); constexpr auto K0PerWmma = ABlockDesc_{}.GetLength(I3);
constexpr auto A_KRow = ABlockDesc_{}.GetLength(I4);
constexpr auto A_K1 = ABlockDesc_{}.GetLength(I6); constexpr auto A_K1 = ABlockDesc_{}.GetLength(I6);
// Err: merge transform cause non-constexpr issue // Err: merge transform cause non-constexpr issue
...@@ -334,7 +340,7 @@ struct GridwiseGemm_Wmma ...@@ -334,7 +340,7 @@ struct GridwiseGemm_Wmma
return make_naive_tensor_descriptor_packed(make_tuple(Number<KWmma * K0PerWmma>{}, return make_naive_tensor_descriptor_packed(make_tuple(Number<KWmma * K0PerWmma>{},
Number<MRepeat>{}, Number<MRepeat>{},
I1, I1,
I1, Number<A_KRow>{},
I1, I1,
Number<A_K1>{})); Number<A_K1>{}));
} }
...@@ -352,7 +358,11 @@ struct GridwiseGemm_Wmma ...@@ -352,7 +358,11 @@ struct GridwiseGemm_Wmma
// BK0_N_BK1 -> BK0_NRepeat_Nwaves_NPerWmma_BK1 // BK0_N_BK1 -> BK0_NRepeat_Nwaves_NPerWmma_BK1
constexpr auto B_K0 = BBlockDesc_{}.GetLength(I0); constexpr auto B_K0 = BBlockDesc_{}.GetLength(I0);
constexpr auto B_K1 = BBlockDesc_{}.GetLength(I2); constexpr auto B_K1 = BBlockDesc_{}.GetLength(I2);
#ifdef __gfx12__
constexpr auto B_KRow = I2; constexpr auto B_KRow = I2;
#else
constexpr auto B_KRow = I1;
#endif
return transform_tensor_descriptor( return transform_tensor_descriptor(
BBlockDesc_{}, BBlockDesc_{},
make_tuple(make_unmerge_transform(make_tuple(Number<B_K0>{}, B_KRow)), make_tuple(make_unmerge_transform(make_tuple(Number<B_K0>{}, B_KRow)),
...@@ -367,13 +377,14 @@ struct GridwiseGemm_Wmma ...@@ -367,13 +377,14 @@ struct GridwiseGemm_Wmma
// KWmma_MRepeat_MWave_K0PerWmma_KRow_MPerWmma_K1 -> K0_MRepeat_Mwaves_MPerWmma_K1 // KWmma_MRepeat_MWave_K0PerWmma_KRow_MPerWmma_K1 -> K0_MRepeat_Mwaves_MPerWmma_K1
constexpr auto KWmma = BBlockDesc_{}.GetLength(I0); constexpr auto KWmma = BBlockDesc_{}.GetLength(I0);
constexpr auto K0PerWmma = BBlockDesc_{}.GetLength(I3); constexpr auto K0PerWmma = BBlockDesc_{}.GetLength(I3);
constexpr auto B_KRow = BBlockDesc_{}.GetLength(I4);
constexpr auto B_K1 = BBlockDesc_{}.GetLength(I6); constexpr auto B_K1 = BBlockDesc_{}.GetLength(I6);
// Workaround, Freeze transform // Workaround, Freeze transform
return make_naive_tensor_descriptor_packed(make_tuple(Number<KWmma * K0PerWmma>{}, return make_naive_tensor_descriptor_packed(make_tuple(Number<KWmma * K0PerWmma>{},
Number<NRepeat>{}, Number<NRepeat>{},
I1, I1,
I1, Number<B_KRow>{},
I1, I1,
Number<B_K1>{})); Number<B_K1>{}));
} }
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment