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Commit 58b6996a authored by ltqin's avatar ltqin
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some gridwise gemm write to C matrix

parent 971220d8
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Showing with 289 additions and 263 deletions
composable_kernel/include/tensor_operation/blockwise_gemm_xdlops.hpp
View file @ 58b6996a
...@@ -131,6 +131,17 @@ struct BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1 ...@@ -131,6 +131,17 @@ struct BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1
return make_naive_tensor_descriptor_packed(make_tuple(I1, I1, I1, I1, M0, M1, M2, N)); return make_naive_tensor_descriptor_packed(make_tuple(I1, I1, I1, I1, M0, M1, M2, N));
} }
__host__ __device__ static constexpr auto GetCGM0N0M1N1M2M3M4N2ThreadDescriptor()
{
constexpr auto c_m0_m1_m2_n_tblk_lens = xdlops_gemm.GetCM0M1M2NThreadBlkLengths();
constexpr auto M0 = c_m0_m1_m2_n_tblk_lens[I0];
constexpr auto M1 = c_m0_m1_m2_n_tblk_lens[I1];
constexpr auto M2 = c_m0_m1_m2_n_tblk_lens[I2];
constexpr auto N = c_m0_m1_m2_n_tblk_lens[I3];
return make_naive_tensor_descriptor_packed(make_tuple(Number<1>{}, I1, I1, I1, I1, M0, M1, M2, N));
}
__host__ __device__ static constexpr auto GetCM0N0M1N1M2M3M4N2BlockDescriptor() __host__ __device__ static constexpr auto GetCM0N0M1N1M2M3M4N2BlockDescriptor()
{ {
constexpr auto c_m0_n0_m1_n1_m2_n2_block_desc = constexpr auto c_m0_n0_m1_n1_m2_n2_block_desc =
...@@ -144,6 +155,20 @@ struct BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1 ...@@ -144,6 +155,20 @@ struct BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1
return xdlops_gemm.MakeCM0N0M1N1M2M3M4N2Descriptor(c_m0_n0_m1_n1_m2_n2_block_desc); return xdlops_gemm.MakeCM0N0M1N1M2M3M4N2Descriptor(c_m0_n0_m1_n1_m2_n2_block_desc);
} }
__host__ __device__ static constexpr auto GetCGM0N0M1N1M2M3M4N2BlockDescriptor()
{
constexpr auto c_m0_n0_m1_n1_m2_n2_block_desc =
make_naive_tensor_descriptor_packed(make_tuple(Number<1>{},
Number<MRepeat>{},
Number<NRepeat>{},
Number<MWaves>{},
Number<NWaves>{},
Number<MPerXDL>{},
Number<NPerXDL>{}));
return xdlops_gemm.MakeCM0N0M1N1M2M3M4N2Descriptor(c_m0_n0_m1_n1_m2_n2_block_desc);
}
template <typename CMNGridDesc> template <typename CMNGridDesc>
__host__ __device__ static constexpr auto __host__ __device__ static constexpr auto
MakeCM0N0M1N1M2M3M4N2GridDescriptor(const CMNGridDesc& c_m_n_grid_desc) MakeCM0N0M1N1M2M3M4N2GridDescriptor(const CMNGridDesc& c_m_n_grid_desc)
......
composable_kernel/include/tensor_operation/gridwise_gemm_xdlops_v3r1.hpp
View file @ 58b6996a
...@@ -142,6 +142,7 @@ struct GridwiseGemm_gk0mk1_gk0nk1_gmn_xdlops_v3r1 ...@@ -142,6 +142,7 @@ struct GridwiseGemm_gk0mk1_gk0nk1_gmn_xdlops_v3r1
static constexpr auto I4 = Number<4>{}; static constexpr auto I4 = Number<4>{};
static constexpr auto I5 = Number<5>{}; static constexpr auto I5 = Number<5>{};
static constexpr auto I6 = Number<6>{}; static constexpr auto I6 = Number<6>{};
static constexpr auto I7 = Number<7>{};
// K1 should be Number<...> // K1 should be Number<...>
static constexpr auto K1 = Number<K1Value>{}; static constexpr auto K1 = Number<K1Value>{};
...@@ -388,9 +389,9 @@ struct GridwiseGemm_gk0mk1_gk0nk1_gmn_xdlops_v3r1 ...@@ -388,9 +389,9 @@ struct GridwiseGemm_gk0mk1_gk0nk1_gmn_xdlops_v3r1
constexpr auto c_mr_nr_blk_desc = constexpr auto c_mr_nr_blk_desc =
make_naive_tensor_descriptor_packed(make_tuple(Number<MRepeat>{}, Number<NRepeat>{})); make_naive_tensor_descriptor_packed(make_tuple(Number<MRepeat>{}, Number<NRepeat>{}));
constexpr auto c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc = constexpr auto c_g_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc =
blockwise_gemm.GetCM0N0M1N1M2M3M4N2ThreadDescriptor(); blockwise_gemm.GetCGM0N0M1N1M2M3M4N2ThreadDescriptor();
constexpr auto CBlkSize = c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc.GetElementSpaceSize(); constexpr auto CBlkSize = c_g_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc.GetElementSpaceSize();
StaticBuffer<AddressSpaceEnum_t::Vgpr, StaticBuffer<AddressSpaceEnum_t::Vgpr,
vector_type<FloatAcc, CBlkSize>, vector_type<FloatAcc, CBlkSize>,
...@@ -472,21 +473,19 @@ struct GridwiseGemm_gk0mk1_gk0nk1_gmn_xdlops_v3r1 ...@@ -472,21 +473,19 @@ struct GridwiseGemm_gk0mk1_gk0nk1_gmn_xdlops_v3r1
blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf); blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
} }
/* // output: register to global memory // output: register to global memory
{ {
constexpr auto c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc = constexpr auto c_g_m0_n0_m1_n1_m2_m3_m4_n2_block_desc =
blockwise_gemm.GetCM0N0M1N1M2M3M4N2BlockDescriptor(); blockwise_gemm.GetCGM0N0M1N1M2M3M4N2BlockDescriptor();
constexpr auto M2 = constexpr auto M2 = c_g_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I5);
c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I4); constexpr auto M3 = constexpr auto M3 = c_g_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I6);
c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I5); constexpr auto M4 = constexpr auto M4 = c_g_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I7);
c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I6);
// calculate origin of thread output tensor on global memory // calculate origin of thread output tensor on global memory
// blockwise GEMM c matrix starting index // blockwise GEMM c matrix starting index
const auto c_thread_mtx_on_block = const auto c_thread_mtx_on_block =
blockwise_gemm.CalculateCThreadOriginDataIndex(I0, I0, I0, blockwise_gemm.CalculateCThreadOriginDataIndex(I0, I0, I0, I0);
I0);
const index_t m_thread_data_on_grid = const index_t m_thread_data_on_grid =
m_block_data_idx_on_grid + c_thread_mtx_on_block[I0]; m_block_data_idx_on_grid + c_thread_mtx_on_block[I0];
...@@ -494,102 +493,104 @@ struct GridwiseGemm_gk0mk1_gk0nk1_gmn_xdlops_v3r1 ...@@ -494,102 +493,104 @@ struct GridwiseGemm_gk0mk1_gk0nk1_gmn_xdlops_v3r1
const index_t n_thread_data_on_grid = const index_t n_thread_data_on_grid =
n_block_data_idx_on_grid + c_thread_mtx_on_block[I1]; n_block_data_idx_on_grid + c_thread_mtx_on_block[I1];
constexpr auto c_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks constexpr auto c_g_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks = CGridStepHacks{};
= CGridStepHacks{};
auto c_thread_copy = auto c_thread_copy =
ThreadwiseTensorSliceTransfer_v1r3<FloatC, ThreadwiseTensorSliceTransfer_v1r3<FloatC,
FloatC, FloatC,
decltype(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc), decltype(c_g_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc),
decltype(c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc), decltype(c_g_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc),
Sequence<I1, I1, I1, I1, Sequence<I1, I1, I1, I1, I1, M2, I1, M4, I1>,
M2, I1, M4, I1>, CThreadTransferSrcDstAccessOrder, CThreadTransferSrcDstVectorDim, CThreadTransferSrcDstAccessOrder,
CThreadTransferSrcDstVectorDim,
CThreadTransferDstScalarPerVector, CThreadTransferDstScalarPerVector,
CGlobalMemoryDataOperation, CGlobalMemoryDataOperation,
1, 1,
true>{ true>{
c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc, c_g_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
make_multi_index(0, make_multi_index(g_idx,
0,
0, 0,
0, 0,
0, 0,
m_thread_data_on_grid / (M3 * M4), m_thread_data_on_grid / (M3 * M4),
m_thread_data_on_grid % (M3 * M4) / m_thread_data_on_grid % (M3 * M4) / M4,
M4, m_thread_data_on_grid % M4, n_thread_data_on_grid)}; m_thread_data_on_grid % M4,
n_thread_data_on_grid)};
auto init_copy = [&](auto c_thread_idx_) { auto init_copy = [&](auto c_thread_idx_) {
constexpr auto blk_off = constexpr auto blk_off = c_mr_nr_blk_desc.CalculateOffset(c_thread_idx_);
c_mr_nr_blk_desc.CalculateOffset(c_thread_idx_); c_thread_copy.Run(c_g_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc,
c_thread_copy.Run(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc, make_tuple(I0, I0, I0, I0, I0, I0, I0, I0, I0),
make_tuple(I0, I0, I0, I0, I0, I0, I0, c_thread_buf[Number<blk_off>{}].template AsType<FloatAcc>(),
I0), c_thread_buf[Number<blk_off>{}].template AsType<FloatAcc>(), c_g_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc, c_grid_buf, c_grid_buf,
c_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks); c_g_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks);
return c_thread_idx_; return c_thread_idx_;
}; };
auto mrepeat_plus_copy = [&](auto c_thread_idx_) { /* auto mrepeat_plus_copy = [&](auto c_thread_idx_) {
constexpr auto mrepeat_step_plus = make_multi_index(1, 0, constexpr auto mrepeat_step_plus = make_multi_index(1, 0, 0, 0, 0, 0, 0, 0);
0, 0, 0, 0, 0, 0); c_thread_copy.MoveDstSliceWindow(c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc, c_thread_copy.MoveDstSliceWindow(c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
mrepeat_step_plus); mrepeat_step_plus);
constexpr auto blk_off = constexpr auto blk_off = c_mr_nr_blk_desc.CalculateOffset(c_thread_idx_);
c_mr_nr_blk_desc.CalculateOffset(c_thread_idx_);
c_thread_copy.Run(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc, c_thread_copy.Run(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc,
make_tuple(I0, I0, I0, I0, I0, I0, I0, make_tuple(I0, I0, I0, I0, I0, I0, I0, I0),
I0), c_thread_buf[Number<blk_off>{}].template AsType<FloatAcc>(), c_thread_buf[Number<blk_off>{}].template AsType<FloatAcc>(),
c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc, c_grid_buf, c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
c_grid_buf,
c_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks); c_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks);
}; };
auto nrepeat_plus_copy = [&](auto c_thread_idx_) { auto nrepeat_plus_copy = [&](auto c_thread_idx_) {
constexpr auto nrepeat_step_plus = make_multi_index(0, 1, constexpr auto nrepeat_step_plus = make_multi_index(0, 1, 0, 0, 0, 0, 0, 0);
0, 0, 0, 0, 0, 0); c_thread_copy.MoveDstSliceWindow(c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc, c_thread_copy.MoveDstSliceWindow(c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
nrepeat_step_plus); nrepeat_step_plus);
constexpr auto blk_off = constexpr auto blk_off = c_mr_nr_blk_desc.CalculateOffset(c_thread_idx_);
c_mr_nr_blk_desc.CalculateOffset(c_thread_idx_);
c_thread_copy.Run(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc, c_thread_copy.Run(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc,
make_tuple(I0, I0, I0, I0, I0, I0, I0, make_tuple(I0, I0, I0, I0, I0, I0, I0, I0),
I0), c_thread_buf[Number<blk_off>{}].template AsType<FloatAcc>(), c_thread_buf[Number<blk_off>{}].template AsType<FloatAcc>(),
c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc, c_grid_buf, c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
c_grid_buf,
c_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks); c_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks);
}; };
auto mrepeat_minus_copy = [&](auto c_thread_idx_) { auto mrepeat_minus_copy = [&](auto c_thread_idx_) {
constexpr auto mrepeat_step_plus = make_multi_index(-1, 0, constexpr auto mrepeat_step_plus = make_multi_index(-1, 0, 0, 0, 0, 0, 0, 0);
0, 0, 0, 0, 0, 0); c_thread_copy.MoveDstSliceWindow(c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc, c_thread_copy.MoveDstSliceWindow(c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
mrepeat_step_plus); mrepeat_step_plus);
constexpr auto blk_off = constexpr auto blk_off = c_mr_nr_blk_desc.CalculateOffset(c_thread_idx_);
c_mr_nr_blk_desc.CalculateOffset(c_thread_idx_);
c_thread_copy.Run(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc, c_thread_copy.Run(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc,
make_tuple(I0, I0, I0, I0, I0, I0, I0, make_tuple(I0, I0, I0, I0, I0, I0, I0, I0),
I0), c_thread_buf[Number<blk_off>{}].template AsType<FloatAcc>(), c_thread_buf[Number<blk_off>{}].template AsType<FloatAcc>(),
c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc, c_grid_buf, c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
c_grid_buf,
c_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks); c_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks);
}; };
auto nrepeat_minus_copy = [&](auto c_thread_idx_) { auto nrepeat_minus_copy = [&](auto c_thread_idx_) {
constexpr auto nrepeat_step_minus = make_multi_index(0, -1, constexpr auto nrepeat_step_minus = make_multi_index(0, -1, 0, 0, 0, 0, 0, 0);
0, 0, 0, 0, 0, 0); c_thread_copy.MoveDstSliceWindow(c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc, c_thread_copy.MoveDstSliceWindow(c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
nrepeat_step_minus); nrepeat_step_minus);
constexpr auto blk_off = constexpr auto blk_off = c_mr_nr_blk_desc.CalculateOffset(c_thread_idx_);
c_mr_nr_blk_desc.CalculateOffset(c_thread_idx_);
c_thread_copy.Run(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc, c_thread_copy.Run(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc,
make_tuple(I0, I0, I0, I0, I0, I0, I0, make_tuple(I0, I0, I0, I0, I0, I0, I0, I0),
I0), c_thread_buf[Number<blk_off>{}].template AsType<FloatAcc>(), c_thread_buf[Number<blk_off>{}].template AsType<FloatAcc>(),
c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc, c_grid_buf, c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
c_grid_buf,
c_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks); c_m0_n0_m1_n1_m2_m3_m4_n2_grid_tensor_step_hacks);
}; };
static_assert((MRepeat == 4 && NRepeat == 4) or (MRepeat == 4 static_assert((MRepeat == 4 && NRepeat == 4) or (MRepeat == 4 && NRepeat == 2) or
&& NRepeat == 2) or (MRepeat == 2 && NRepeat == 4) or (MRepeat == 2 && NRepeat == 2) or (MRepeat == 2 && NRepeat == 4) or (MRepeat == 2 && NRepeat == 2) or
(MRepeat == 2 (MRepeat == 2 && NRepeat == 1) or (MRepeat == 1 && NRepeat == 2) or
&& NRepeat == 1) or (MRepeat == 1 && NRepeat == 2) or (MRepeat == 1 && (MRepeat == 1 && NRepeat == 1),
NRepeat == 1), "wrong"); "wrong");
if constexpr(MRepeat == 4 && NRepeat == 4) if constexpr(MRepeat == 4 && NRepeat == 4)
{ {
...@@ -713,7 +714,7 @@ struct GridwiseGemm_gk0mk1_gk0nk1_gmn_xdlops_v3r1 ...@@ -713,7 +714,7 @@ struct GridwiseGemm_gk0mk1_gk0nk1_gmn_xdlops_v3r1
{ {
init_copy(make_tuple(I0, I0)); init_copy(make_tuple(I0, I0));
} }
}*/ */ }
} }
}; // namespace ck }; // namespace ck
......
host/driver_offline/include/device_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwgc_gkyxc_nhwgk.hpp
View file @ 58b6996a
...@@ -255,24 +255,24 @@ void device_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwgc_gkyxc_nhwgk( ...@@ -255,24 +255,24 @@ void device_convolution_forward_implicit_gemm_v4r4r4_xdlops_nhwgc_gkyxc_nhwgk(
Sequence<0, 0, 0, 0, 0, 0, 0>{})); // 3-: GemmK1 Sequence<0, 0, 0, 0, 0, 0, 0>{})); // 3-: GemmK1
constexpr auto out_gemmg_m0_n0_m1_n1_m2_m3_m4_n2_grid_step_hacks = constexpr auto out_gemmg_m0_n0_m1_n1_m2_m3_m4_n2_grid_step_hacks =
make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 0+: M0 make_tuple(make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 0+: M0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 1+: M0 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 1+: M0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 2+: N0 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 2+: N0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 3+: M1 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 3+: M1
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 4+: N1 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 4+: N1
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 5+: M2 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 5+: M2
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 6+: M3 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 6+: M3
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 7+: M4 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 7+: M4
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}), // 8+: N2 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}), // 8+: N2
make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 0-: M0 make_tuple(Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 0-: M0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 1-: M0 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 1-: M0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 2-: N0 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 2-: N0
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 3-: M1 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 3-: M1
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 4-: N1 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 4-: N1
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 5-: M2 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 5-: M2
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 6-: M3 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 6-: M3
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 7-: M4 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}, // 7-: M4
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{})); // 8-: N2 Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{})); // 8-: N2
constexpr auto in_gemmg_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks = constexpr auto in_gemmg_gemmk0_gemmm_gemmk1_grid_move_slice_window_step_hacks =
Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{}; Sequence<0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0>{};
......
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