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Introduce ck::accumulate_n() (#439)

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We can use this template to eliminate duplicated iterator computing
logics. By providing return type to ck::accumulate_n(), we can avoid
type conversion operations.
This commit is contained in:
Po Yen Chen
2022-11-15 09:53:39 +08:00
committed by GitHub
parent dc663fae29
commit 730204eed0
14 changed files with 126 additions and 177 deletions
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19
client_example/04_contraction/contraction_bilinear.cpp
View File

@@ -12,6 +12,7 @@
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
#include "ck/library/tensor_operation_instance/gpu/contraction_bilinear.hpp"
#include "ck/library/utility/numeric.hpp"
using F32 = float;
@@ -192,20 +193,14 @@ int main(int argc, char* argv[])
{
float ave_time = invoker_ptr->Run(argument_ptr.get(), StreamConfig{nullptr, true});
ck::index_t M = std::accumulate(e_ms_ns_lengths.begin(),
e_ms_ns_lengths.begin() + NumDimM,
ck::index_t{1},
std::multiplies<ck::index_t>{});
ck::index_t M = ck::accumulate_n<ck::index_t>(
e_ms_ns_lengths.begin(), NumDimM, 1, std::multiplies<>{});
ck::index_t N = std::accumulate(e_ms_ns_lengths.begin() + NumDimM,
e_ms_ns_lengths.begin() + NumDimM + NumDimN,
ck::index_t{1},
std::multiplies<ck::index_t>{});
ck::index_t N = ck::accumulate_n<ck::index_t>(
e_ms_ns_lengths.begin() + NumDimM, NumDimN, 1, std::multiplies<>{});
ck::index_t K = std::accumulate(a_ms_ks_lengths.begin() + NumDimM,
a_ms_ks_lengths.begin() + NumDimM + NumDimK,
ck::index_t{1},
std::multiplies<ck::index_t>{});
ck::index_t K = ck::accumulate_n<ck::index_t>(
a_ms_ks_lengths.begin() + NumDimM, NumDimK, 1, std::multiplies<>{});
std::size_t flop = std::size_t(2) * M * N * K;
std::size_t num_btype = sizeof(ADataType) * M * K + sizeof(BDataType) * K * N +

19
client_example/04_contraction/contraction_scale.cpp
View File

@@ -12,6 +12,7 @@
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
#include "ck/library/tensor_operation_instance/gpu/contraction_scale.hpp"
#include "ck/library/utility/numeric.hpp"
using F32 = float;
@@ -178,20 +179,14 @@ int main(int argc, char* argv[])
{
float ave_time = invoker_ptr->Run(argument_ptr.get(), StreamConfig{nullptr, true});
ck::index_t M = std::accumulate(e_ms_ns_lengths.begin(),
e_ms_ns_lengths.begin() + NumDimM,
ck::index_t{1},
std::multiplies<ck::index_t>{});
ck::index_t M = ck::accumulate_n<ck::index_t>(
e_ms_ns_lengths.begin(), NumDimM, 1, std::multiplies<>{});
ck::index_t N = std::accumulate(e_ms_ns_lengths.begin() + NumDimM,
e_ms_ns_lengths.begin() + NumDimM + NumDimN,
ck::index_t{1},
std::multiplies<ck::index_t>{});
ck::index_t N = ck::accumulate_n<ck::index_t>(
e_ms_ns_lengths.begin() + NumDimM, NumDimN, 1, std::multiplies<>{});
ck::index_t K = std::accumulate(a_ms_ks_lengths.begin() + NumDimM,
a_ms_ks_lengths.begin() + NumDimM + NumDimK,
ck::index_t{1},
std::multiplies<ck::index_t>{});
ck::index_t K = ck::accumulate_n<ck::index_t>(
a_ms_ks_lengths.begin() + NumDimM, NumDimK, 1, std::multiplies<>{});
std::size_t flop = std::size_t(2) * M * N * K;
std::size_t num_btype =