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Commit bdbc0eaa authored by Chao Liu's avatar Chao Liu
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cleaning up dead code

parent 7c098ddc
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Showing with 6 additions and 670 deletions
driver/device_implicit_gemm_convolution_2_chwn_cyxk_khwn.hpp
View file @ bdbc0eaa
...@@ -221,7 +221,7 @@ void device_implicit_gemm_convolution_2_chwn_cyxk_khwn(InDesc, ...@@ -221,7 +221,7 @@ void device_implicit_gemm_convolution_2_chwn_cyxk_khwn(InDesc,
constexpr index_t BlockSize = 128; constexpr index_t BlockSize = 128;
#elif 0 #elif 0
// 1x1, 14x14, Vega 20, hack CPerBlock = 1 // 1x1, 14x14, Vega 20, hack CPerBlock = 1 for debugging
constexpr index_t BPerBlock = 64; constexpr index_t BPerBlock = 64;
constexpr index_t KPerBlock = 128; constexpr index_t KPerBlock = 128;
constexpr index_t CPerBlock = 1; constexpr index_t CPerBlock = 1;
......
driver/driver.hip.cpp
View file @ bdbc0eaa
...@@ -580,7 +580,7 @@ int main(int argc, char* argv[]) ...@@ -580,7 +580,7 @@ int main(int argc, char* argv[])
constexpr index_t HPad = 0; constexpr index_t HPad = 0;
constexpr index_t WPad = 0; constexpr index_t WPad = 0;
#elif 1 #elif 0
// 1x1 filter, 14x14 image, C = 2048 // 1x1 filter, 14x14 image, C = 2048
constexpr index_t N = 128; constexpr index_t N = 128;
constexpr index_t C = 2048; constexpr index_t C = 2048;
......
src/include/blockwise_batched_gemm.hip.hpp
View file @ bdbc0eaa
This diff is collapsed.
src/include/blockwise_gemm.hip.hpp
View file @ bdbc0eaa
...@@ -3,215 +3,6 @@ ...@@ -3,215 +3,6 @@
extern "C" __attribute__((address_space(3))) void* __to_local(void* p)[[hc]]; extern "C" __attribute__((address_space(3))) void* __to_local(void* p)[[hc]];
template <index_t BlockSize,
class BlockMatrixA,
class BlockMatrixB,
class ThreadMatrixC,
bool TransA,
bool TransB,
bool TransC,
index_t KPerThreadLoop,
index_t MThreadPerCluster,
index_t NThreadPerCluster,
bool DistributeThreadAlongColumnFirst>
struct BlockwiseGemmBlockABlockBThreadC
{
index_t mMyThreadOffsetA = 0;
index_t mMyThreadOffsetB = 0;
struct MatrixIndex
{
index_t row;
index_t col;
};
__device__ BlockwiseGemmBlockABlockBThreadC()
{
constexpr auto a_block_mtx = BlockMatrixA{};
constexpr auto b_block_mtx = BlockMatrixB{};
const auto c_thread_mtx_index = GetBeginOfThreadMatrixC(get_thread_local_1d_id());
mMyThreadOffsetA = (!TransA) ? a_block_mtx.Get1dIndex(c_thread_mtx_index.row, 0)
: a_block_mtx.Get1dIndex(0, c_thread_mtx_index.row);
mMyThreadOffsetB = (!TransB) ? b_block_mtx.Get1dIndex(0, c_thread_mtx_index.col)
: b_block_mtx.Get1dIndex(c_thread_mtx_index.col, 0);
#if 0
if(get_thread_local_1d_id() == 0 && get_block_1d_id() == 0)
{
print_ConstantMatrixDescriptor(BlockMatrixA{}, "a_block_mtx: ");
print_ConstantMatrixDescriptor(BlockMatrixB{}, "b_block_mtx: ");
print_ConstantMatrixDescriptor(ThreadMatrixC{}, "c_thread_mtx: ");
printf("%u %u, %u %u %u, %u %u\n",
get_block_1d_id(),
get_thread_local_1d_id(),
c_thread_mtx_index.batch,
c_thread_mtx_index.row,
c_thread_mtx_index.col,
mMyThreadOffsetA,
mMyThreadOffsetB);
}
#endif
}
__device__ MatrixIndex GetBeginOfThreadMatrixC(index_t thread_id) const
{
if(TransA && (!TransB) && (!TransC))
{
constexpr auto a_block_mtx = BlockMatrixA{};
constexpr auto b_block_mtx = BlockMatrixB{};
static_assert(a_block_mtx.NRow() == b_block_mtx.NRow(),
"wrong! k dimension not consistent!");
constexpr index_t MPerBlock = a_block_mtx.NCol();
constexpr index_t NPerBlock = b_block_mtx.NCol();
constexpr auto c_thread_mtx = ThreadMatrixC{};
// divide thread work
constexpr index_t MPerThread = c_thread_mtx.NRow();
constexpr index_t NPerThread = c_thread_mtx.NCol();
static_assert(MPerBlock % (MPerThread * MThreadPerCluster) == 0,
"MPerBlock % (MPerThread * MThreadPerCluster) != 0");
static_assert(NPerBlock % (NPerThread * NThreadPerCluster) == 0,
"NPerBlock % (NPerThread * NThreadPerCluster) != 0");
constexpr index_t MClusterWork =
(MPerBlock + MPerThread * MThreadPerCluster - 1) / (MPerThread * MThreadPerCluster);
constexpr index_t NClusterWork =
(NPerBlock + NPerThread * NThreadPerCluster - 1) / (NPerThread * NThreadPerCluster);
static_assert(BlockSize ==
(MClusterWork * MThreadPerCluster) *
(NClusterWork * NThreadPerCluster),
"wrong! wrong BlockSize");
if(DistributeThreadAlongColumnFirst)
{
const index_t cluster_work_block_id =
thread_id / (MThreadPerCluster * NThreadPerCluster);
const index_t thread_work_cluster_id =
thread_id - cluster_work_block_id * (MThreadPerCluster * NThreadPerCluster);
const index_t m_cluster_work_block_id = cluster_work_block_id / NClusterWork;
const index_t n_cluster_work_block_id =
cluster_work_block_id - m_cluster_work_block_id * NClusterWork;
const index_t m_thread_work_cluster_id = thread_work_cluster_id / NThreadPerCluster;
const index_t n_thread_work_cluster_id =
thread_work_cluster_id - m_thread_work_cluster_id * NThreadPerCluster;
#if 0
if(get_block_1d_id() == 0)
{
printf("%u %u, \t"
"MClusterWork %u MThreadPerCluster %u NClusterWork %u NThreadPerCluster %u \t"
"m_cluster_work_block_id %u n_cluster_work_block_id %u \t"
"m_thread_work_cluster_id %u n_thread_work_cluster_id %u \t"
"\n",
get_block_1d_id(), get_thread_local_1d_id(),
MClusterWork, MThreadPerCluster, NClusterWork, NThreadPerCluster,
m_cluster_work_block_id, n_cluster_work_block_id,
m_thread_work_cluster_id, n_thread_work_cluster_id);
}
#endif
return MatrixIndex{m_cluster_work_block_id * (MThreadPerCluster * MPerThread) +
m_thread_work_cluster_id * MPerThread,
n_cluster_work_block_id * (NThreadPerCluster * NPerThread) +
n_thread_work_cluster_id * NPerThread};
}
else
{
// not implemented
assert(false);
}
}
else
{
// not implemented
assert(false);
}
}
// this should be optimized away if input is known
__device__ static MatrixIndex GetDistanceFromBeginOfThreadMatrixC(index_t m_in_c,
index_t n_in_c)
{
return MatrixIndex{m_in_c, n_in_c};
}
template <class FloatA, class FloatB, class FloatC, class Accumulator>
__device__ void Run(const FloatA* __restrict__ p_a_block,
const FloatB* __restrict__ p_b_block,
FloatC* __restrict__ p_c_thread,
Accumulator f_accum) const
{
if(TransA && (!TransB) && (!TransC))
{
constexpr auto True = integral_constant<bool, true>{};
constexpr auto False = integral_constant<bool, false>{};
constexpr auto a_block_mtx = BlockMatrixA{};
constexpr auto b_block_mtx = BlockMatrixB{};
constexpr auto c_thread_mtx = ThreadMatrixC{};
constexpr index_t KPerBlock = a_block_mtx.NRow(); // A is transposed
constexpr index_t MPerThread = c_thread_mtx.NRow();
constexpr index_t NPerThread = c_thread_mtx.NCol();
// a is transposed, b is not
constexpr auto a_thread_mtx =
make_ConstantMatrixDescriptor(Number<KPerThreadLoop>{}, Number<MPerThread>{});
constexpr auto b_thread_mtx =
make_ConstantMatrixDescriptor(Number<KPerThreadLoop>{}, Number<NPerThread>{});
FloatA p_a_thread[a_thread_mtx.GetElementSpace()];
FloatB p_b_thread[b_thread_mtx.GetElementSpace()];
// loop over k
for(index_t k_begin = 0; k_begin < KPerBlock; k_begin += KPerThreadLoop)
{
threadwise_matrix_copy(a_block_mtx,
p_a_block + mMyThreadOffsetA +
k_begin * a_block_mtx.RowStride(),
a_thread_mtx,
p_a_thread,
a_thread_mtx.GetLengths());
threadwise_matrix_copy(b_block_mtx,
p_b_block + mMyThreadOffsetB +
k_begin * b_block_mtx.RowStride(),
b_thread_mtx,
p_b_thread,
b_thread_mtx.GetLengths());
threadwise_gemm(a_thread_mtx,
True,
p_a_thread,
b_thread_mtx,
False,
p_b_thread,
c_thread_mtx,
False,
p_c_thread,
f_accum);
}
}
}
};
// if following number are power of 2, index calculation shall be greatly reduced: // if following number are power of 2, index calculation shall be greatly reduced:
// MPerThreadSubC, NPerThreadSubC, MLevel0Cluster, NLevel0Cluster, MLevel1Cluster, NLevel1Cluster // MPerThreadSubC, NPerThreadSubC, MLevel0Cluster, NLevel0Cluster, MLevel1Cluster, NLevel1Cluster
template <index_t BlockSize, template <index_t BlockSize,
...@@ -1149,10 +940,10 @@ struct BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2 ...@@ -1149,10 +940,10 @@ struct BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2
} }
template <class FloatA, class FloatB, class FloatC, class Accumulator> template <class FloatA, class FloatB, class FloatC, class Accumulator>
__device__ void Run_v2(const FloatA* __restrict__ p_a_block, __device__ void Run_PipelineReadAndCompute(const FloatA* __restrict__ p_a_block,
const FloatB* __restrict__ p_b_block, const FloatB* __restrict__ p_b_block,
FloatC* __restrict__ p_c_thread, FloatC* __restrict__ p_c_thread,
Accumulator f_accum) const Accumulator f_accum) const
{ {
constexpr auto True = integral_constant<bool, true>{}; constexpr auto True = integral_constant<bool, true>{};
constexpr auto False = integral_constant<bool, false>{}; constexpr auto False = integral_constant<bool, false>{};
......
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